xszheng2020/the_stack_dedup_python_hits_4 · Datasets at Hugging Face

c224a4092ef855a5aaffef162322a02277bf1192

91

py

Python

tests/__init__.py

araghukas/nwlattice

443d0a000c2b68cd99070245eede032e912c1a40

[ "MIT" ]

1

2020-11-23T01:00:34.000Z

tests/__init__.py

araghukas/nwlattice

443d0a000c2b68cd99070245eede032e912c1a40

[ "MIT" ]

null

tests/__init__.py

araghukas/nwlattice

443d0a000c2b68cd99070245eede032e912c1a40

[ "MIT" ]

null

# need this to identify `tests` as a package # otherwise can't run tests from command line

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dfbcd506a9a2128a5dec1238e09002009ec78cbf

38

py

Python

addition/addition.py

sridevimarudhachalamoorthy/team-nito

e0a77cc1b0e98cffaba64ece94cb1706baafb620

[ "MIT" ]

null

addition/addition.py

sridevimarudhachalamoorthy/team-nito

e0a77cc1b0e98cffaba64ece94cb1706baafb620

[ "MIT" ]

null

addition/addition.py

sridevimarudhachalamoorthy/team-nito

e0a77cc1b0e98cffaba64ece94cb1706baafb620

[ "MIT" ]

null

a=10 b=5 print(a+b) print("addition")

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1

0

null

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4

5f0590778df5f614a0a05e44538d235bc033be39

156

py

Python

app/app/tests.py

gjpsiqueira/recipe-app-api

b22312a979b606fed09871729a297a840b0556b9

[ "MIT" ]

null

app/app/tests.py

gjpsiqueira/recipe-app-api

b22312a979b606fed09871729a297a840b0556b9

[ "MIT" ]

null

app/app/tests.py

gjpsiqueira/recipe-app-api

b22312a979b606fed09871729a297a840b0556b9

[ "MIT" ]

null

from django.test import TestCase from app.calc import add class CalcTests(TestCase): def test_add_numbers(self): self.assertEqual(add(3,8),11)

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4

5f1253ab21e9b6e3d5f8e72343fc93803aaf71a8

230

py

Python

urban_proj/urban_assignment/exchange_rate/admin.py

Ab1gor/INR---USD-Currency-Predictor

4fc3a0029ae5f1af09a98714e3e26d1f8d07efa6

[ "Apache-2.0" ]

null

urban_proj/urban_assignment/exchange_rate/admin.py

Ab1gor/INR---USD-Currency-Predictor

4fc3a0029ae5f1af09a98714e3e26d1f8d07efa6

[ "Apache-2.0" ]

null

urban_proj/urban_assignment/exchange_rate/admin.py

Ab1gor/INR---USD-Currency-Predictor

4fc3a0029ae5f1af09a98714e3e26d1f8d07efa6

[ "Apache-2.0" ]

null

from django.contrib import admin from .models import INR_USD_ExchangeRate, Forecasted_INR_USD_ExchangeRate # Register your models here. models = ( INR_USD_ExchangeRate, Forecasted_INR_USD_ExchangeRate) admin.site.register(models)

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4

5f1c1be9c59d0adbe734a3072c7efa4c0fb9f45c

783

py

Python

olaf/config/config.py

sylcastaing/Olaf-voice

869b68e3a5980c5a69e23d544213ad6eb818d04f

[ "MIT" ]

null

olaf/config/config.py

sylcastaing/Olaf-voice

869b68e3a5980c5a69e23d544213ad6eb818d04f

[ "MIT" ]

null

olaf/config/config.py

sylcastaing/Olaf-voice

869b68e3a5980c5a69e23d544213ad6eb818d04f

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- import json class Config: def __init__(self): self.test = "aze" @property def bing_key(self): return self.getConfigFile()['keys']['bing'] @property def apiai_key(self): return self.getConfigFile()['keys']['APIAI'] @property def apiweather_key(self): return self.getConfigFile()['keys']['weather'] @property def lang(self): return self.getConfigFile()['params']['lang'] @property def city(self): return self.getConfigFile()['params']['city'] @property def days(self): return self.getConfigFile()['days'] @property def months(self): return self.getConfigFile()['months'] def getConfigFile(self): with open('./config.json') as data: return json.load(data)

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5f2d2b8edb05e92ce7fa884ce3898e21a882398b

324

py

Python

api/models.py

kkampardi/TodoLIst

d5b03c7b163b61ac8ef613553817e698573a613f

[ "MIT" ]

2

2017-03-30T00:42:17.000Z

2018-12-04T13:39:41.000Z

api/models.py

kkampardi/TodoLIst

d5b03c7b163b61ac8ef613553817e698573a613f

[ "MIT" ]

null

api/models.py

kkampardi/TodoLIst

d5b03c7b163b61ac8ef613553817e698573a613f

[ "MIT" ]

null

from django.db import models # Create your models here. class TodoList(models.Model): name = models.CharField(max_length=255, blank=False, unique=True) created = models.DateTimeField(auto_now_add=True) modified = models.DateTimeField(auto_now=True) def __str__(self): return "{}".format(self.name)

29.454545

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29.454545

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null

0

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4

5f2ff2acba7c0067581d932890387e1d5888d0c6

71

py

Python

intask_api/intask/__init__.py

KirovVerst/intask

4bdec6f49fa2873cca1354d7d3967973f5bcadc3

[ "MIT" ]

null

intask_api/intask/__init__.py

KirovVerst/intask

4bdec6f49fa2873cca1354d7d3967973f5bcadc3

[ "MIT" ]

7

2016-08-17T23:08:31.000Z

2022-03-02T02:23:08.000Z

intask_api/intask/__init__.py

KirovVerst/intask

4bdec6f49fa2873cca1354d7d3967973f5bcadc3

[ "MIT" ]

null

from intask.celeryapp import app as celery_app __all__ = [celery_app]

17.75

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null

0

1

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4

a0a88b4e70b44d1eecd3d35160639868a3dbadde

888

py

Python

graph.py

bentenjamin/a-star

36f4e5c496c12e808ef765043a5735914fe537d0

[ "MIT" ]

null

graph.py

bentenjamin/a-star

36f4e5c496c12e808ef765043a5735914fe537d0

[ "MIT" ]

null

graph.py

bentenjamin/a-star

36f4e5c496c12e808ef765043a5735914fe537d0

[ "MIT" ]

null

class Vertex: def __init__(self, node): self.id = node self.cons = {} def add_con(self, con, weight): self.cons[con] = weight def get_cons(self): return self.cons.keys() def get_id(self): return self.id def get_weight(self, con): return self.cons[con] class Graph: def __init__(self): self.verticies = {} def add_vertex(self, node): self.verticies[node] = Vertex(node) return self.verticies[node] def add_edge(self, frm, to, weight): if frm not in self.verticies: self.add_edge(frm) if to not in self.verticies: self.add_edge(to) self.verticies[frm].add_con(self.verticies[to], weight) self.verticies[to].add_con(self.verticies[frm], weight) def get_verticies(self): return self.verticies.keys()

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888

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null

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null

0

1

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4

2613a8cc9e402a1acf5ddfe46cc176bca81cb88d

139

py

Python

python/pressure.py

mrichar1/wemos

b6a4196208055e586a9a7b5b11a5286fe62ba84e

[ "MIT" ]

null

python/pressure.py

mrichar1/wemos

b6a4196208055e586a9a7b5b11a5286fe62ba84e

[ "MIT" ]

null

python/pressure.py

mrichar1/wemos

b6a4196208055e586a9a7b5b11a5286fe62ba84e

[ "MIT" ]

null

from bmp180 import BMP180 from machine import I2C, Pin bus = I2C(scl=Pin(5), sda=Pin(4), freq=100000) # on esp8266 bmp180 = BMP180(bus)

27.8

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0.71223

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264ba91ee44aa0c9de1c5942200139b2313fccb5

1,349

py

Python

tests/boilerplate_client/exception/errors.py

ixje/app-neo3

079b178017684958cdf66fdf144f317ea37d65ae

[ "MIT" ]

null

tests/boilerplate_client/exception/errors.py

ixje/app-neo3

079b178017684958cdf66fdf144f317ea37d65ae

[ "MIT" ]

5

2021-09-13T16:41:52.000Z

2022-01-12T16:00:21.000Z

tests/boilerplate_client/exception/errors.py

ixje/app-neo3

079b178017684958cdf66fdf144f317ea37d65ae

[ "MIT" ]

3

2021-09-01T11:40:09.000Z

2022-03-06T06:45:13.000Z

class UnknownDeviceError(Exception): pass class DenyError(Exception): pass class WrongP1P2Error(Exception): pass class WrongDataLengthError(Exception): pass class InsNotSupportedError(Exception): pass class ClaNotSupportedError(Exception): pass class WrongResponseLengthError(Exception): pass class DisplayAddressFailError(Exception): pass class DisplayAmountFailError(Exception): pass class WrongTxLengthError(Exception): pass class TxParsingFailError(Exception): pass class TxHashFail(Exception): pass class BadStateError(Exception): pass class SignatureFailError(Exception): pass class TxRejectSignError(Exception): pass class BIP44BadPurposeError(Exception): pass class BIP44BadCoinTypeError(Exception): pass class BIP44BadAccountNotHardenedError(Exception): pass class BIP44BadAccountError(Exception): pass class BIP44BadBadChangeError(Exception): pass class BIP44BadAddressError(Exception): pass class MagicParsingError(Exception): pass class DisplaySystemFeeFailError(Exception): pass class DisplayNetworkFeeFailError(Exception): pass class DisplayTotalFeeFailError(Exception): pass class DisplayTransferAmountError(Exception): pass class ConvertToAddressFailError(Exception): pass

12.607477

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4

2681db732835083f3bf7ba9a0f73764d721a6061

604

py

Python

core/memory.py

KanishkNavale/Robot-Physics-Engine

84e118547d2a59b37f6084265a045eeca8206e5f

[ "BSD-3-Clause" ]

null

core/memory.py

KanishkNavale/Robot-Physics-Engine

84e118547d2a59b37f6084265a045eeca8206e5f

[ "BSD-3-Clause" ]

1

2021-11-23T17:26:39.000Z

2022-01-01T12:39:56.000Z

core/memory.py

KanishkNavale/Pinocchio-Based-Robot-Solver

84e118547d2a59b37f6084265a045eeca8206e5f

[ "BSD-3-Clause" ]

null

############################################################################# # DEVELOPED BY KANISHK ############# # THIS SCRIPT CONTAINS GLOBAL MEMORY ############# ############################################################################# # Library Imports import numpy as np ############################################################################# # GLOBAL MEMORY ############# ############################################################################# pose = np.zeros(3)

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2683383594e1bac9f748408be7cf1c060c7cfe14

146

py

Python

modules/python3/data/scripts/ivw_numpy/image_utils.py

ImagiaViz/inviwo

a00bb6b0551bc1cf26dc0366c827c1a557a9603d

[ "BSD-2-Clause" ]

349

2015-01-30T09:21:52.000Z

2022-03-25T03:10:02.000Z

modules/python3/data/scripts/ivw_numpy/image_utils.py

liu3xing3long/inviwo

69cca9b6ecd58037bda0ed9e6f53d02f189f19a7

[ "BSD-2-Clause" ]

641

2015-09-23T08:54:06.000Z

2022-03-23T09:50:55.000Z

modules/python3/data/scripts/ivw_numpy/image_utils.py

liu3xing3long/inviwo

69cca9b6ecd58037bda0ed9e6f53d02f189f19a7

[ "BSD-2-Clause" ]

124

2015-02-27T23:45:02.000Z

2022-02-21T09:37:14.000Z

import numpy as np import scipy.misc def save(img,path): print(path) scipy.misc.toimage(np.rot90(img), cmin=0.0, cmax=...).save(path)

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cd707e8c7c0ebbb0b6b21cadcc0b5d403196d498

188

py

Python

quite/gui/interfaces/ability_interfaces/class_exec_interface.py

Wingsgo/PyQtGraphEmbedded

e1992606c7beacde6b24ea5c858ba26a800accdd

[ "MIT" ]

4

2019-04-08T04:13:33.000Z

2020-12-25T13:15:10.000Z

quite/gui/interfaces/ability_interfaces/class_exec_interface.py

Wingsgo/PyQtGraphEmbedded

e1992606c7beacde6b24ea5c858ba26a800accdd

[ "MIT" ]

2

2018-01-03T12:13:53.000Z

2018-05-03T08:05:52.000Z

quite/gui/interfaces/ability_interfaces/class_exec_interface.py

Wingsgo/PyQtGraphEmbedded

e1992606c7beacde6b24ea5c858ba26a800accdd

[ "MIT" ]

3

2018-01-03T11:29:57.000Z

2018-03-12T00:34:21.000Z

from .. import BaseInterface class ClassExecInterface(BaseInterface): def exec(self, *args): pass @classmethod def class_exec(cls, *args): cls(*args).exec()

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4

cd709a85216e1252402f42fdc83f98bd4d4260d8

227

py

Python

tamcolors/examples/connection_multi_player.py

cmcmarrow/tamcolors

65a5f2455bbe35a739b98d14af158c3df7feb786

[ "Apache-2.0" ]

29

2020-07-17T23:46:17.000Z

2022-02-06T05:36:44.000Z

tamcolors/examples/connection_multi_player.py

sudo-nikhil/tamcolors

65a5f2455bbe35a739b98d14af158c3df7feb786

[ "Apache-2.0" ]

42

2020-07-25T19:39:52.000Z

2021-02-24T01:19:58.000Z

tamcolors/examples/connection_multi_player.py

sudo-nikhil/tamcolors

65a5f2455bbe35a739b98d14af158c3df7feb786

[ "Apache-2.0" ]

8

2020-07-18T23:02:48.000Z

2020-12-30T04:07:35.000Z

from random import randint from tamcolors.utils.tcp import TCPConnection from tamcolors.tam_io.tcp_io import run_tcp_connection def run(): run_tcp_connection(TCPConnection(user_name=str(randint(0, 1000000000000000000))))

28.375

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7

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cd89257aebf991a39b0ccf02c1ab27465502c788

263

py

Python

turbo/__init__.py

DaulPavid/pyturbo

878e0b1b514c043f1b4ea5cd5268b23c0df5192e

[ "MIT" ]

9

2018-10-17T17:02:05.000Z

2022-03-03T18:58:32.000Z

turbo/__init__.py

akshay230994/pyturbo

878e0b1b514c043f1b4ea5cd5268b23c0df5192e

[ "MIT" ]

2

2018-10-16T16:57:57.000Z

2020-04-14T13:34:40.000Z

turbo/__init__.py

akshay230994/pyturbo

878e0b1b514c043f1b4ea5cd5268b23c0df5192e

[ "MIT" ]

4

2019-12-23T18:42:29.000Z

2022-01-19T12:08:35.000Z

# # Simple Turbo Codes Implementation # from turbo.awgn import AWGN from turbo.rsc import RSC from turbo.trellis import Trellis from turbo.siso_decoder import SISODecoder from turbo.turbo_encoder import TurboEncoder from turbo.turbo_decoder import TurboDecoder

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26b227dc7d9e7a89644a99da8ab0a71243ed7c05

107

py

Python

socialplantplatform/social/apps.py

hamzabouissi/socialPlantPlatform

60606039a12f41a50970b4d17c4b39ba158c5019

[ "MIT" ]

null

socialplantplatform/social/apps.py

hamzabouissi/socialPlantPlatform

60606039a12f41a50970b4d17c4b39ba158c5019

[ "MIT" ]

null

socialplantplatform/social/apps.py

hamzabouissi/socialPlantPlatform

60606039a12f41a50970b4d17c4b39ba158c5019

[ "MIT" ]

null

from django.apps import AppConfig class SocialConfig(AppConfig): name = 'socialplantplatform.social'

17.833333

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0

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26b69f904227b2eef458a49f3197081ef34ec10d

1,056

py

Python

tests/step14_tests.py

svaningelgem/advent_of_code_2021

80351508d6d6953392bc57af20e1fac05ab3ec2a

[ "MIT" ]

null

tests/step14_tests.py

svaningelgem/advent_of_code_2021

80351508d6d6953392bc57af20e1fac05ab3ec2a

[ "MIT" ]

null

tests/step14_tests.py

svaningelgem/advent_of_code_2021

80351508d6d6953392bc57af20e1fac05ab3ec2a

[ "MIT" ]

null

from pathlib import Path from step14 import count_least_most_after_insertions TEST_INPUT = Path(__file__).parent / 'step14.txt' REAL_INPUT = Path(__file__).parent.parent / 'src/step14.txt' def test_step14(): assert count_least_most_after_insertions(TEST_INPUT, 0) == 1 # 'NNCB' assert count_least_most_after_insertions(TEST_INPUT, 1) == 1 # 'NCNBCHB' assert count_least_most_after_insertions(TEST_INPUT, 2) == 5 # 'NBCCNBBBCBHCB' assert count_least_most_after_insertions(TEST_INPUT, 3) == 7 # 'NBBBCNCCNBBNBNBBCHBHHBCHB' assert count_least_most_after_insertions(TEST_INPUT, 4) == 18 # 'NBBNBNBBCCNBCNCCNBBNBBNBBBNBBNBBCBHCBHHNHCBBCBHCB' assert count_least_most_after_insertions(TEST_INPUT, 10) == 1588 def test_step14_real_data(): assert count_least_most_after_insertions(REAL_INPUT, 10) == 2223 def test_step14_part2(): assert count_least_most_after_insertions(TEST_INPUT, 40) == 2188189693529 def test_step14_part2_real_data(): assert count_least_most_after_insertions(REAL_INPUT, 40) == 2566282754493

36.413793

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0.788826

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0.13089

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0.539267

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0.074756

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1,056

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37.714286

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0.117647

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1

0

null

0

1

0

1

0

4

26b8ab5f3a8fd88aa7d5c6c3c250e3ddd41e20a4

344

py

Python

accounts/models.py

sean-capper/chatter

5e4b3d8a8e5ae0aaa4ad82b8feaed4ad7fed6b6f

[ "MIT" ]

null

accounts/models.py

sean-capper/chatter

5e4b3d8a8e5ae0aaa4ad82b8feaed4ad7fed6b6f

[ "MIT" ]

null

accounts/models.py

sean-capper/chatter

5e4b3d8a8e5ae0aaa4ad82b8feaed4ad7fed6b6f

[ "MIT" ]

null

from django.contrib.auth.models import AbstractUser from django.db import models # Create your models here. class User(AbstractUser): user_id = models.AutoField(primary_key=True) username = models.CharField(max_length=10, unique=True) password = models.CharField(max_length=99) def __str__(self): return self.username

28.666667

59

0.752907

46

344

5.456522

0.652174

0.079681

0.143426

0.191235

0

0.013841

0.159884

344

12

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28.666667

0.854671

0.069767

0

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0.125

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0.125

0.25

0.125

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null

0

1

0

null

0

1

0

1

0

4

26d158835c001b4d13cae64008982d208905172a

1,304

py

Python

tests/test_atc_classification.py

kzfm/pychembldb

0dde6a05b2dc138e0be7f8f27f57b5c2a42e23c7

[ "CC0-1.0" ]

8

2020-01-16T00:43:46.000Z

2021-11-27T18:26:12.000Z

tests/test_atc_classification.py

iwatobipen/pychembldb

0dde6a05b2dc138e0be7f8f27f57b5c2a42e23c7

[ "CC0-1.0" ]

null

tests/test_atc_classification.py

iwatobipen/pychembldb

0dde6a05b2dc138e0be7f8f27f57b5c2a42e23c7

[ "CC0-1.0" ]

3

2020-05-31T05:54:33.000Z

2021-11-15T04:31:07.000Z

import unittest from pychembldb import chembldb, AtcClassification class AtcClassificationTest(unittest.TestCase): def setUp(self): self.target = chembldb.query(AtcClassification).first() def test_who_name(self): self.assertEqual(self.target.who_name, "sodium fluoride") def test_level1(self): self.assertEqual(self.target.level1, "A") def test_level2(self): self.assertEqual(self.target.level2, "A01") def test_level3(self): self.assertEqual(self.target.level3, "A01A") def test_level4(self): self.assertEqual(self.target.level4, "A01AA") def test_level5(self): self.assertEqual(self.target.level5, "A01AA01") #def test_who_id(self): # self.assertEqual(self.target.who_id, "who0001") def test_level1_description(self): self.assertEqual(self.target.level1_description, "ALIMENTARY TRACT AND METABOLISM") def test_level2_description(self): self.assertEqual(self.target.level2_description, "STOMATOLOGICAL PREPARATIONS") def test_level3_description(self): self.assertEqual(self.target.level3_description, "STOMATOLOGICAL PREPARATIONS") def test_level4_description(self): self.assertEqual(self.target.level4_description, "Caries prophylactic agents")

31.804878

91

0.722393

150

1,304

6.126667

0.286667

0.104461

0.227421

0.275299

0.54951

0.422198

0

0.029602

0.171012

1,304

40

92

32.6

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1

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null

0

1

0

1

0

4

26d6eb6a3db8a02ac479af6cc70c0ca1a8d4b806

314

py

Python

src/cltk/corpora/grc/tlg/author_female.py

yelircaasi/cltk

1583aa24682543a1f33434a21918f039ca27d60c

[ "MIT" ]

757

2015-11-20T00:58:52.000Z

2022-03-31T06:34:24.000Z

src/cltk/corpora/grc/tlg/author_female.py

yelircaasi/cltk

1583aa24682543a1f33434a21918f039ca27d60c

[ "MIT" ]

950

2015-11-17T05:38:29.000Z

2022-03-14T16:09:34.000Z

src/cltk/corpora/grc/tlg/author_female.py

yelircaasi/cltk

1583aa24682543a1f33434a21918f039ca27d60c

[ "MIT" ]

482

2015-11-22T18:13:02.000Z

2022-03-20T21:22:02.000Z

AUTHOR_FEMALE = { "Femina": [ "0009", "0051", "0054", "0197", "0220", "0244", "0294", "0372", "0509", "1213", "1355", "1493", "1572", "1814", "1828", "2703", "2766", ] }

14.272727

17

0.27707

20

314

4.3

1

0

0.465753

0.535032

314

21

18

14.952381

0.123288

0

0.235669

0

1

0

false

0

1

0

null

0

1

0

1

0

null

0

4

26de8d550aaf603ab387cb9014bef7f0ef3aded7

133

py

Python

files/Entrada/p12.py

heltonricardo/estudo-python

e82eb8ebc15378175b03d367a6eeea66e8858cff

[ "MIT" ]

null

files/Entrada/p12.py

heltonricardo/estudo-python

e82eb8ebc15378175b03d367a6eeea66e8858cff

[ "MIT" ]

null

files/Entrada/p12.py

heltonricardo/estudo-python

e82eb8ebc15378175b03d367a6eeea66e8858cff

[ "MIT" ]

null

n1 = float(input('Nota N1: ')) n2 = float(input('Nota N2: ')) m = (n1 + n2) / 2 print("A média do aluno é {:.1f}".format(m)) input()

22.166667

44

0.56391

24

133

3.125

0.625

0.266667

0.373333

0

0.073395

0.180451

133

5

45

26.6

0.614679

0

0.323308

0

1

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0.2

1

0

null

1

0

1

0

null

0

4

26f0881e00d1366c091699a1bba0f26cab6e02b4

150

py

Python

mlxtk/tools/terminal.py

f-koehler/mlxtk

373aed06ab23ab9b70cd99e160228c50b87e939a

[ "MIT" ]

2

2018-12-21T19:41:10.000Z

2019-11-25T15:26:27.000Z

mlxtk/tools/terminal.py

f-koehler/mlxtk

373aed06ab23ab9b70cd99e160228c50b87e939a

[ "MIT" ]

73

2017-12-22T13:30:16.000Z

2022-02-22T04:21:14.000Z

mlxtk/tools/terminal.py

f-koehler/mlxtk

373aed06ab23ab9b70cd99e160228c50b87e939a

[ "MIT" ]

null

import subprocess def get_terminal_size(): tmp = subprocess.check_output(["stty", "size"]).decode().split() return int(tmp[0]), int(tmp[1])

21.428571

68

0.666667

21

150

4.619048

0.761905

0.123711

0

0.015504

0.14

150

6

69

25

0.736434

0

0.053333

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

f8253345007fdf8fa689add4646d1b5dc1f16934

221

py

Python

comment/admin.py

Alan-CQU/MyBlog

1c4f2aaece873b6732062f58a1a575172b3caaf2

[ "MIT" ]

null

comment/admin.py

Alan-CQU/MyBlog

1c4f2aaece873b6732062f58a1a575172b3caaf2

[ "MIT" ]

1

2020-06-04T07:31:28.000Z

comment/admin.py

Alan-CQU/MyBlog

1c4f2aaece873b6732062f58a1a575172b3caaf2

[ "MIT" ]

null

from django.contrib import admin from .models import Comment # Register your models here. @admin.register(Comment) class CommentAdmin(admin.ModelAdmin): list_display = ("content_object","text", "comment_time","user")

31.571429

67

0.773756

28

221

6

0.714286

0

0.108597

221

6

68

36.833333

0.852792

0.117647

0

0.176166

0

1

0

false

0

0.4

0

0.8

0

1

0

null

0

1

0

null

0

1

0

1

0

4

f8407d3d7e42460aee5601e1e1bfbd7d8914cade

3,715

py

Python

tests/test_firrtl_ir/test_type_equal.py

zhongzc/py-hcl

5a2be0208f915377a1dae12509f1af016df6412b

[ "MIT" ]

null

tests/test_firrtl_ir/test_type_equal.py

zhongzc/py-hcl

5a2be0208f915377a1dae12509f1af016df6412b

[ "MIT" ]

null

tests/test_firrtl_ir/test_type_equal.py

zhongzc/py-hcl

5a2be0208f915377a1dae12509f1af016df6412b

[ "MIT" ]

null

from py_hcl.firrtl_ir.shortcuts import uw, sw, vec, bdl from py_hcl.firrtl_ir.type import UnknownType, ClockType from py_hcl.firrtl_ir.type_measurer import equal def test_type_eq(): assert equal(UnknownType(), UnknownType()) assert equal(ClockType(), ClockType()) assert equal(uw(10), uw(10)) assert equal(sw(10), sw(10)) assert equal(vec(uw(10), 8), vec(uw(10), 8)) assert equal(bdl(a=(vec(uw(10), 8), False), b=(uw(10), True)), bdl(a=(vec(uw(10), 8), False), b=(uw(10), True))) def test_type_neq(): assert not equal(UnknownType(), ClockType()) assert not equal(UnknownType(), uw(10)) assert not equal(UnknownType(), sw(10)) assert not equal(UnknownType(), vec(uw(10), 8)) assert not equal(UnknownType(), vec(sw(10), 8)) assert not equal(UnknownType(), bdl(a=(vec(uw(10), 8), False), b=(uw(10), False))) assert not equal(ClockType(), UnknownType()) assert not equal(ClockType(), uw(10)) assert not equal(ClockType(), sw(10)) assert not equal(ClockType(), vec(uw(10), 8)) assert not equal(ClockType(), vec(sw(10), 8)) assert not equal(ClockType(), bdl(a=(vec(uw(10), 8), False), b=(uw(10), False))) assert not equal(uw(10), UnknownType()) assert not equal(uw(10), ClockType()) assert not equal(uw(10), uw(8)) assert not equal(uw(10), sw(10)) assert not equal(uw(10), sw(10)) assert not equal(uw(10), vec(uw(10), 8)) assert not equal(uw(10), vec(sw(10), 8)) assert not equal(uw(10), bdl(a=(vec(uw(10), 8), False), b=(uw(10), False))) assert not equal(sw(10), UnknownType()) assert not equal(sw(10), ClockType()) assert not equal(sw(10), sw(8)) assert not equal(sw(10), uw(10)) assert not equal(sw(10), uw(10)) assert not equal(sw(10), vec(uw(10), 8)) assert not equal(sw(10), vec(sw(10), 8)) assert not equal(sw(10), bdl(a=(vec(uw(10), 8), False), b=(uw(10), False))) assert not equal(vec(uw(10), 8), UnknownType()) assert not equal(vec(uw(10), 8), ClockType()) assert not equal(vec(uw(10), 8), sw(8)) assert not equal(vec(uw(10), 8), uw(10)) assert not equal(vec(uw(10), 8), uw(10)) assert not equal(vec(uw(10), 8), vec(uw(8), 8)) assert not equal(vec(uw(10), 8), vec(uw(10), 9)) assert not equal(vec(uw(10), 8), vec(sw(10), 8)) assert not equal(vec(uw(10), 8), bdl(a=(vec(uw(10), 8), False), b=(uw(10), False))) assert not equal(bdl(a=(vec(uw(10), 8), False), b=(uw(10), False)), UnknownType()) assert not equal(bdl(a=(vec(uw(10), 8), False), b=(uw(10), False)), ClockType()) assert not equal(bdl(a=(vec(uw(10), 8), False), b=(uw(10), False)), sw(8)) assert not equal(bdl(a=(vec(uw(10), 8), False), b=(uw(10), False)), uw(10)) assert not equal(bdl(a=(vec(uw(10), 8), False), b=(uw(10), False)), uw(10)) assert not equal(bdl(a=(vec(uw(10), 8), False), b=(uw(10), False)), vec(sw(10), 8)) assert not equal(bdl(a=(vec(uw(10), 8), False), b=(uw(10), False)), bdl(a=(vec(uw(10), 8), True), b=(uw(10), False))) assert not equal(bdl(a=(vec(uw(10), 8), False), b=(uw(10), False)), bdl(a=(vec(uw(10), 2), False), b=(uw(10), False))) assert not equal(bdl(a=(uw(3), False), b=(uw(10), False)), bdl(a=(uw(3), False), b=(uw(10), False), c=(sw(2), True))) assert not equal(bdl(a=(vec(uw(10), 8), False), b=(uw(10), False)), bdl(b=(uw(10), False), a=(vec(uw(10), 8), False)))

44.22619

79

0.548048

611

3,715

3.314239

0.052373

0.146173

0.324938

0.13037

0.816296

0.686914

0.638025

0.559506

0.478519

0.442963

0

0.084129

0.238493

3,715

83

80

44.759036

0.631672

0

0.297297

0

0.716216

1

0.027027

true

0

0.040541

0

0.067568

0

null

0

1

0

1

0

null

0

1

0

1

0

4

f8570dee58f3b94234f4d7fac05df7a91645acf1

98

py

Python

rpd_home/apps.py

mariuszbrozda/rpd

7cd4fe3916405c89eb7b20d9efb9ea311fcdd524

[ "MIT" ]

null

rpd_home/apps.py

mariuszbrozda/rpd

7cd4fe3916405c89eb7b20d9efb9ea311fcdd524

[ "MIT" ]

11

2019-11-18T19:18:29.000Z

2021-06-10T21:57:34.000Z

rpd_home/apps.py

mariuszbrozda/rpd

7cd4fe3916405c89eb7b20d9efb9ea311fcdd524

[ "MIT" ]

null

from django.apps import AppConfig class RpdWebsiteConfig(AppConfig): name = 'rpd_website'

12.25

34

0.755102

11

98

6.636364

0.909091

0

0.173469

98

7

35

14

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

f86607fd7c5bfb0c90cf70e6a0063f7bfc4f4796

76

py

Python

login.py

zhanghao000/test004

7e719016566d6a6c90cb7f768ecab1e306257f69

[ "MIT" ]

null

login.py

zhanghao000/test004

7e719016566d6a6c90cb7f768ecab1e306257f69

[ "MIT" ]

null

login.py

zhanghao000/test004

7e719016566d6a6c90cb7f768ecab1e306257f69

[ "MIT" ]

null

a = 999 b = 999999999999999 b = 111 c = 3333333 c = 0000000 d = ieuwoidjfds

10.857143

19

0.684211

12

76

4.333333

0.833333

0

0.603448

0.236842

76

6

20

12.666667

0.293103

0

1

0

false

0

1

0

null

0

1

0

1

0

1

0

null

0

4

f888d68b8cc6c21c58966a01c5c8f5ebe808d505

207

py

Python

app/db.py

valentinDruzhinin/task-tracker

fa4fd5a5341f2d0ce5f259c1a687c4a86f11d1c4

[ "MIT" ]

null

app/db.py

valentinDruzhinin/task-tracker

fa4fd5a5341f2d0ce5f259c1a687c4a86f11d1c4

[ "MIT" ]

null

app/db.py

valentinDruzhinin/task-tracker

fa4fd5a5341f2d0ce5f259c1a687c4a86f11d1c4

[ "MIT" ]

null

class ISOLATION_LEVEL: READ_COMMITTED = 'READ COMMITTED' READ_UNCOMMITTED = 'READ UNCOMMITTED' REPEATABLE_READ = 'REPEATABLE READ' SERIALIZABLE = 'SERIALIZABLE' AUTOCOMMIT = 'AUTOCOMMIT'

29.571429

41

0.729469

19

207

7.736842

0.473684

0.176871

0.231293

0

0.193237

207

6

42

34.5

0.88024

0

0.323672

0

1

0

false

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

4

f8b7ac5d48ad902e286451a4f6812874b26a07aa

176

py

Python

pywiktionary/__init__.py

alessandrome/pywiktionary

b9378ca1e2dfe704eaa8a044bd82519b12f81226

[ "MIT" ]

4

2019-08-08T21:15:01.000Z

2021-01-14T01:32:18.000Z

pywiktionary/__init__.py

alessandrome/pywiktionary

b9378ca1e2dfe704eaa8a044bd82519b12f81226

[ "MIT" ]

1

2021-09-02T17:24:12.000Z

pywiktionary/__init__.py

alessandrome/pywiktionary

b9378ca1e2dfe704eaa8a044bd82519b12f81226

[ "MIT" ]

1

2020-03-19T12:57:45.000Z

from pywiktionary import parsers from .wiktionary_parser_factory import WiktionaryParserFactory, PageNotFoundException, LANGUAGE_PARSERS, LANGUAGE_CODES name = "pywiktionary"

35.2

119

0.875

17

176

8.823529

0.705882

0

0.085227

176

4

120

44

0.931677

0

0.068182

0

1

0

false

0

0.666667

0

0.666667

0

1

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null

0

1

0

null

0

1

0

1

0

4

f8bf33db0f0ebbd72ea533ec23ad8ce30bcf6776

32

py

Python

example_snippets/multimenus_snippets/Snippets/SciPy/Special functions/Mathieu and Related Functions/mathieu_modcem1 Even modified Mathieu function of the first kind and its derivative.py

kuanpern/jupyterlab-snippets-multimenus

477f51cfdbad7409eab45abe53cf774cd70f380c

[ "BSD-3-Clause" ]

null

example_snippets/multimenus_snippets/Snippets/SciPy/Special functions/Mathieu and Related Functions/mathieu_modcem1 Even modified Mathieu function of the first kind and its derivative.py

kuanpern/jupyterlab-snippets-multimenus

477f51cfdbad7409eab45abe53cf774cd70f380c

[ "BSD-3-Clause" ]

null

example_snippets/multimenus_snippets/Snippets/SciPy/Special functions/Mathieu and Related Functions/mathieu_modcem1 Even modified Mathieu function of the first kind and its derivative.py

kuanpern/jupyterlab-snippets-multimenus

477f51cfdbad7409eab45abe53cf774cd70f380c

[ "BSD-3-Clause" ]

1

2021-02-04T04:51:48.000Z

special.mathieu_modcem1(m, q, x)

32

0.78125

6

32

4

1

0

0.033333

0.0625

32

1

32

0.766667

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

4

6ef6f50ae355e488671eeb4472ac5315d4061b04

4,959

py

Python

graphkit/modifiers.py

pygraphkit/graphkit

7658e17fa995aba3a7d09282951bd284ec2a3cc0

[ "Apache-2.0" ]

1

2021-01-18T21:16:30.000Z

graphkit/modifiers.py

pygraphkit/graphkit

7658e17fa995aba3a7d09282951bd284ec2a3cc0

[ "Apache-2.0" ]

null

graphkit/modifiers.py

pygraphkit/graphkit

7658e17fa995aba3a7d09282951bd284ec2a3cc0

[ "Apache-2.0" ]

null

""" This sub-module contains input/output modifiers that can be applied to arguments to ``needs`` and ``provides`` to let GraphKit know it should treat them differently. Copyright 2016, Yahoo Inc. Licensed under the terms of the Apache License, Version 2.0. See the LICENSE file associated with the project for terms. """ class optional(str): """ An optional need signifies that the function's argument may not receive a value. Only input values in ``needs`` may be designated as optional using this modifier. An ``operation`` will receive a value for an optional need only if if it is available in the graph at the time of its invocation. The ``operation``'s function should have a defaulted parameter with the same name as the opetional, and the input value will be passed as a keyword argument, if it is available. Here is an example of an operation that uses an optional argument:: >>> from graphkit import operation, compose, optional >>> # Function that adds either two or three numbers. >>> def myadd(a, b, c=0): ... return a + b + c >>> # Designate c as an optional argument. >>> graph = compose('mygraph')( ... operation(name='myadd', needs=['a', 'b', optional('c')], provides='sum')(myadd) ... ) >>> graph NetworkOperation(name='mygraph', needs=[optional('a'), optional('b'), optional('c')], provides=['sum']) >>> # The graph works with and without 'c' provided as input. >>> graph({'a': 5, 'b': 2, 'c': 4})['sum'] 11 >>> graph({'a': 5, 'b': 2}) {'a': 5, 'b': 2, 'sum': 7} """ __slots__ = () # avoid __dict__ on instances def __repr__(self): return "optional('%s')" % self class sideffect(str): """ A sideffect data-dependency participates in the graph but never given/asked in functions. Both inputs & outputs in ``needs`` & ``provides`` may be designated as *sideffects* using this modifier. *Sideffects* work as usual while solving the graph but they do not interact with the ``operation``'s function; specifically: - input sideffects are NOT fed into the function; - output sideffects are NOT expected from the function. .. info: an ``operation`` with just a single *sideffect* output return no value at all, but it would still be called for its side-effect only. Their purpose is to describe operations that modify the internal state of some of their arguments ("side-effects"). A typical use case is to signify columns required to produce new ones in pandas dataframes:: >>> from graphkit import operation, compose, sideffect >>> # Function appending a new dataframe column from two pre-existing ones. >>> def addcolumns(df): ... df['sum'] = df['a'] + df['b'] >>> # Designate `a`, `b` & `sum` column names as an sideffect arguments. >>> graph = compose('mygraph')( ... operation( ... name='addcolumns', ... needs=['df', sideffect('a'), sideffect('b')], ... provides=[sideffect('sum')])(addcolumns) ... ) >>> graph NetworkOperation(name='mygraph', needs=[optional('df'), optional('sideffect(a)'), optional('sideffect(b)')], provides=['sideffect(sum)']) >>> # The graph works with and without 'c' provided as input. >>> df = pd.DataFrame({'a': [5], 'b': [2]}) # doctest: +SKIP >>> graph({'df': df})['sum'] == 11 # doctest: +SKIP True Note that regular data in *needs* and *provides* do not match same-named *sideffects*. That is, in the following operation, the ``prices`` input is different from the ``sideffect(prices)`` output: >>> def upd_prices(sales_df, prices): ... sales_df["Prices"] = prices >>> operation(fn=upd_prices, ... name="upd_prices", ... needs=["sales_df", "price"], ... provides=[sideffect("price")]) operation(name='upd_prices', needs=['sales_df', 'price'], provides=['sideffect(price)'], fn=upd_prices) .. note:: An ``operation`` with *sideffects* outputs only, have functions that return no value at all (like the one above). Such operation would still be called for their side-effects. .. tip:: You may associate sideffects with other data to convey their relationships, simply by including their names in the string - in the end, it's just a string - but no enforcement will happen from *graphkit*. >>> sideffect("price[sales_df]") 'sideffect(price[sales_df])' """ __slots__ = () # avoid __dict__ on instances def __new__(cls, name): return super(sideffect, cls).__new__(cls, "sideffect(%s)" % name)

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6efb8b324644818d3643740b3443cbfde65ad95c

107

py

Python

web/api_duplicates/apps.py

jhamidu1117/DockerizedApp

fd949f81832410ad91174d7bc234dbe6bb552794

[ "MIT" ]

null

web/api_duplicates/apps.py

jhamidu1117/DockerizedApp

fd949f81832410ad91174d7bc234dbe6bb552794

[ "MIT" ]

null

web/api_duplicates/apps.py

jhamidu1117/DockerizedApp

fd949f81832410ad91174d7bc234dbe6bb552794

[ "MIT" ]

null

from django.apps import AppConfig class ApiDuplicatesConfig(AppConfig): name = 'api_duplicates'

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3e04e15851b61ccd48440acc9ebf08fc5df85ab8

223

py

Python

experiments/simulation/histogram/simulatedAnnealing/Transformation.py

pjotrscholtze/trident

865da68fff21d31490acc24db2f4b6bde0b80796

[ "Apache-2.0" ]

null

experiments/simulation/histogram/simulatedAnnealing/Transformation.py

pjotrscholtze/trident

865da68fff21d31490acc24db2f4b6bde0b80796

[ "Apache-2.0" ]

null

experiments/simulation/histogram/simulatedAnnealing/Transformation.py

pjotrscholtze/trident

865da68fff21d31490acc24db2f4b6bde0b80796

[ "Apache-2.0" ]

null

# /** # * Copyright MaDgIK Group 2010 - 2015. # */ from simulatedAnnealing.State import State # /** # * @author herald # */ class Transformation: def apply(self, state: State) -> State: raise NotImplementedError()

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3e0cda2e6af1f077c91eab9057fe17d0f29b31f1

36

py

Python

python/config/credentials.py

caiovini/builds_jenkins

6350c8651decd7ab116fd770741fae0b68d77d84

[ "MIT" ]

null

python/config/credentials.py

caiovini/builds_jenkins

6350c8651decd7ab116fd770741fae0b68d77d84

[ "MIT" ]

null

python/config/credentials.py

caiovini/builds_jenkins

6350c8651decd7ab116fd770741fae0b68d77d84

[ "MIT" ]

null

username="admin" password="admin123"

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null

0

1

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4

3e3b721ffa9f1e04d72958eaa12eec70914beb4f

292

py

Python

LeetCode/python3/206.py

ZintrulCre/LeetCode_Archiver

de23e16ead29336b5ee7aa1898a392a5d6463d27

[ "MIT" ]

279

2019-02-19T16:00:32.000Z

2022-03-23T12:16:30.000Z

LeetCode/python3/206.py

ZintrulCre/LeetCode_Archiver

de23e16ead29336b5ee7aa1898a392a5d6463d27

[ "MIT" ]

2

2019-03-31T08:03:06.000Z

2021-03-07T04:54:32.000Z

LeetCode/python3/206.py

ZintrulCre/LeetCode_Crawler

de23e16ead29336b5ee7aa1898a392a5d6463d27

[ "MIT" ]

12

2019-01-29T11:45:32.000Z

2019-02-04T16:31:46.000Z

class Solution: def reverseList(self, head): """ :type head: ListNode :rtype: ListNode """ prev = None while head: next = head.next head.next = prev prev = head head = next return prev

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3e58718ce187130fbda8502a6907b87b182eb724

168

py

Python

Ex003.py

BrunosVieira88/Python

7dc105a62ede0b33d25c5864e892637ca71f2beb

[ "MIT" ]

null

Ex003.py

BrunosVieira88/Python

7dc105a62ede0b33d25c5864e892637ca71f2beb

[ "MIT" ]

null

Ex003.py

BrunosVieira88/Python

7dc105a62ede0b33d25c5864e892637ca71f2beb

[ "MIT" ]

null

n1= int(input('Digite o primeiro numero ')) n2= int(input('digite o segundo numero ')) resultado = n1+n2 print ('O resultado de {} + {} = {}'.format(n1,n2,resultado))

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1

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null

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4

3e6dec30c3d3d6f17af31c9325d0cca4a9f3b989

4,070

py

Python

listshuffler-be/tests/unit/test_patch_probabilities.py

csiztom/listshuffler

d4fea7da3d506e93cca4a8e79c6f0ba98aebbac5

[ "MIT" ]

null

listshuffler-be/tests/unit/test_patch_probabilities.py

csiztom/listshuffler

d4fea7da3d506e93cca4a8e79c6f0ba98aebbac5

[ "MIT" ]

null

listshuffler-be/tests/unit/test_patch_probabilities.py

csiztom/listshuffler

d4fea7da3d506e93cca4a8e79c6f0ba98aebbac5

[ "MIT" ]

null

from unittest import TestCase, mock from src.patch_probabilities import app def good_api_event(): return { "body": """{ "adminID": "", "listID": "", "probabilities": { "id":{ "id":1, "id2":1, "id3":1 }, "id2":{ "id":1, "id2":1, "id3":1 }, "id3":{ "id":1, "id2":1, "id3":1 } } }""", "queryStringParameters": None } def bad_api_event(): return { "body": None, "queryStringParameters": None } def bad_type_api_event(): return { "body": """{ "adminID": "", "listID": "", "probabilities": "" }""", "queryStringParameters": None } def bad_keys_api_event(): return { "body": """{ "adminID": "", "listID": "", "probabilities": { "id9":{ "id9":1, "id29":1, "id39":1 }, "id29":{ "id9":1, "id29":1, "id39":1 }, "id39":{ "id9":1, "id29":1, "id39":1 } } }""", "queryStringParameters": None } class TestPatchInstance(TestCase): def test_bad_api_call(self): assert app.handler(bad_api_event(), "")['statusCode'] == 400 @mock.patch('src.helpers.rds_config.pymysql', autospec=True) def test_non_existing_instance(self, mock_pymysql): mock_cursor = mock.MagicMock() mock_cursor.fetchone.return_value = None mock_cursor.fetchall.return_value = [] mock_pymysql.connect.return_value.cursor.return_value.__enter__.return_value = mock_cursor assert app.handler(good_api_event(), "")['statusCode'] == 404 @mock.patch('src.helpers.rds_config.pymysql', autospec=True) def test_empty_probabilities(self, mock_pymysql): mock_cursor = mock.MagicMock() mock_cursor.fetchone.return_value = ['id', 'id'] mock_cursor.fetchall.return_value = [] mock_pymysql.connect.return_value.cursor.return_value.__enter__.return_value = mock_cursor assert app.handler(good_api_event(), "")['statusCode'] == 200 @mock.patch('src.helpers.rds_config.pymysql', autospec=True) def test_success(self, mock_pymysql): mock_cursor = mock.MagicMock() mock_cursor.fetchone.return_value = ['id', 'id'] mock_cursor.fetchall.return_value = [ ['id', 'id2', 1], ['id2', 'id2', 1], ['id2', 'id3', 1]] mock_pymysql.connect.return_value.cursor.return_value.__enter__.return_value = mock_cursor assert app.handler(good_api_event(), "")['statusCode'] == 200 @mock.patch('src.helpers.rds_config.pymysql', autospec=True) def test_bad_type(self, mock_pymysql): mock_cursor = mock.MagicMock() mock_cursor.fetchone.return_value = ['id', 'id'] mock_cursor.fetchall.return_value = [ ['id', 'id2', 1], ['id2', 'id2', 1], ['id2', 'id3', 1]] mock_pymysql.connect.return_value.cursor.return_value.__enter__.return_value = mock_cursor assert app.handler(bad_type_api_event(), "")['statusCode'] == 400 @mock.patch('src.helpers.rds_config.pymysql', autospec=True) def test_bad_keys(self, mock_pymysql): mock_cursor = mock.MagicMock() mock_cursor.fetchone.return_value = ['id', 'id'] mock_cursor.fetchall.return_value = [ ['id', 'id2', 1], ['id2', 'id2', 1], ['id2', 'id3', 1]] mock_pymysql.connect.return_value.cursor.return_value.__enter__.return_value = mock_cursor assert app.handler(bad_keys_api_event(), "")['statusCode'] == 400

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0

4

3e7b487b12ef12a19d27c1c05d6c127ccbd8e678

144

py

Python

config.py

vidit23/MVP

d6ecfa6e233adca04527a3d567dd6434905d3899

[ "MIT" ]

null

config.py

vidit23/MVP

d6ecfa6e233adca04527a3d567dd6434905d3899

[ "MIT" ]

null

config.py

vidit23/MVP

d6ecfa6e233adca04527a3d567dd6434905d3899

[ "MIT" ]

1

2020-08-17T00:50:51.000Z

YOUTUBE_API_KEY = [ ""] YOUTUBE_KEY_NUMBER = 0 SPOTIFY_CLIENT_ID = "" SPOTIFY_CLIENT_SECRET = "" MONGO_ATLAS_USER = "" MONGO_ATLAS_PASSWORD = ""

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e4695feef08b9a89a5a7d2975ca35ac925300481

173

py

Python

lambda/tests/__init__.py

sjmatta-forks/serverless-southwest-check-in

6b8cfbf1cb19c222f51a039db024217637db2ce4

[ "MIT" ]

49

2017-02-14T13:49:37.000Z

2022-03-24T13:57:05.000Z

lambda/tests/__init__.py

sjmatta-forks/serverless-southwest-check-in

6b8cfbf1cb19c222f51a039db024217637db2ce4

[ "MIT" ]

39

2017-02-08T14:21:17.000Z

2022-01-11T00:20:22.000Z

lambda/tests/__init__.py

sjmatta-forks/serverless-southwest-check-in

6b8cfbf1cb19c222f51a039db024217637db2ce4

[ "MIT" ]

13

2018-02-18T18:49:49.000Z

2022-02-16T15:05:35.000Z

import os import sys # Add ../src to the path so we can import project-local packages without src. sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..', 'src'))

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e46a9134995ee59251ad71c8d2d1427b1c347a09

82

py

Python

gdrivefs-0.14.9-py3.6.egg/gdrivefs/config/changes.py

EnjoyLifeFund/macHighSierra-py36-pkgs

5668b5785296b314ea1321057420bcd077dba9ea

[ "BSD-3-Clause", "BSD-2-Clause", "MIT" ]

null

gdrivefs-0.14.9-py3.6.egg/gdrivefs/config/changes.py

EnjoyLifeFund/macHighSierra-py36-pkgs

5668b5785296b314ea1321057420bcd077dba9ea

[ "BSD-3-Clause", "BSD-2-Clause", "MIT" ]

null

gdrivefs-0.14.9-py3.6.egg/gdrivefs/config/changes.py

EnjoyLifeFund/macHighSierra-py36-pkgs

5668b5785296b314ea1321057420bcd077dba9ea

[ "BSD-3-Clause", "BSD-2-Clause", "MIT" ]

null

import os MONITOR_CHANGES = bool(int(os.environ.get('GD_MONITOR_CHANGES', '1')))

20.5

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e46ae36193b29a17c88aa244207a9a1b7c3b146f

54

py

Python

Chapter02/FirstProject/test1.py

pythonOsYun/Hands-On-Application-Development-with-PyCharm

4abd408413f74b179c016f279a236c1cd5e4d183

[ "MIT" ]

null

Chapter02/FirstProject/test1.py

pythonOsYun/Hands-On-Application-Development-with-PyCharm

4abd408413f74b179c016f279a236c1cd5e4d183

[ "MIT" ]

null

Chapter02/FirstProject/test1.py

pythonOsYun/Hands-On-Application-Development-with-PyCharm

4abd408413f74b179c016f279a236c1cd5e4d183

[ "MIT" ]

null

if __name__ == '__main__': print('hello, world')

13.5

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6

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3

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true

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900211ac8bd1c7b1c3400e1917aa5820354b5134

196

py

Python

butter/providers/aws_mock/__init__.py

sverch/butter

443024ddf12a98b8635e3198dfbf619a91c62089

[ "Apache-2.0" ]

5

2018-07-24T23:37:19.000Z

2018-10-12T08:45:21.000Z

butter/providers/aws_mock/__init__.py

sverch/butter

443024ddf12a98b8635e3198dfbf619a91c62089

[ "Apache-2.0" ]

30

2018-07-24T23:38:17.000Z

2018-11-29T04:37:51.000Z

butter/providers/aws_mock/__init__.py

sverch/butter

443024ddf12a98b8635e3198dfbf619a91c62089

[ "Apache-2.0" ]

null

""" Mock AWS Provider This module uses AWS as a backing provider with moto instead of boto3 so that no resources get deployed. """ from butter.providers.aws_mock import (network, service, paths)

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900dcf18604615fd7be5fbc93d7c9e631fbb9d8a

286

py

Python

envs/__init__.py

wwongkamjan/me-trpo

b9d2d72aca862d2f1110ef7a1fa627e3e0012764

[ "MIT" ]

84

2018-09-20T00:00:13.000Z

2022-03-27T02:12:12.000Z

envs/__init__.py

jonygao621/me-trpo

7dad9cd91e8f259ffeaf2bdb669c84a6db3ceeaa

[ "MIT" ]

4

2018-10-15T14:11:06.000Z

2020-01-13T14:20:35.000Z

envs/__init__.py

jonygao621/me-trpo

7dad9cd91e8f259ffeaf2bdb669c84a6db3ceeaa

[ "MIT" ]

23

2019-01-07T01:45:06.000Z

2022-02-07T07:42:28.000Z

from .com_swimmer_env import SwimmerEnv from .com_snake_env import SnakeEnv from .reacher_env import ReacherEnv, gym_to_local from .com_half_cheetah_env import HalfCheetahEnv from .com_hopper_env import HopperEnv from .com_ant_env import AntEnv from .com_humanoid_env import HumanoidEnv

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9033714fa9dc5b07e13ac368fc2d6744d58b4577

92

py

Python

Exercises/pizzas/apps.py

WillDutcher/project-3-getting-started-with-django

e21cbfeb0e9d1a164a28d9dcca30b69789e2c8ef

[ "CC0-1.0" ]

null

Exercises/pizzas/apps.py

WillDutcher/project-3-getting-started-with-django

e21cbfeb0e9d1a164a28d9dcca30b69789e2c8ef

[ "CC0-1.0" ]

null

Exercises/pizzas/apps.py

WillDutcher/project-3-getting-started-with-django

e21cbfeb0e9d1a164a28d9dcca30b69789e2c8ef

[ "CC0-1.0" ]

null

from django.apps import AppConfig class PizzasConfig(AppConfig): name = 'pizzas'

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0

1

0

null

0

1

0

1

0

4

5fcc402f4634d19ac2459134d4931b13dc733596

131

py

Python

nntoolbox/models/__init__.py

nhatsmrt/nn-toolbox

689b9924d3c88a433f8f350b89c13a878ac7d7c3

[ "Apache-2.0" ]

16

2019-07-11T15:57:41.000Z

2020-09-08T13:52:45.000Z

nntoolbox/models/__init__.py

nhatsmrt/nn-toolbox

689b9924d3c88a433f8f350b89c13a878ac7d7c3

[ "Apache-2.0" ]

1

2022-01-18T22:21:57.000Z

nntoolbox/models/__init__.py

nhatsmrt/nn-toolbox

689b9924d3c88a433f8f350b89c13a878ac7d7c3

[ "Apache-2.0" ]

1

2019-08-07T10:07:09.000Z

"""Abstraction for machine learning modelling (e.g classifier, ensemble, etc.)""" from .ensemble import * from .classifier import *

43.666667

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0.755725

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131

6.1875

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131

3

82

43.666667

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0.572519

0

1

0

true

0

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null

0

1

0

null

0

1

0

1

0

4

39897afe32c27d5fc235b2a31b66615d13342807

456

py

Python

src/functions/damage_calc.py

tmaiello/rotmg-damage-calc

d6362794a24d625df29a8bcb6b9ce0f7309f2709

[ "MIT" ]

null

src/functions/damage_calc.py

tmaiello/rotmg-damage-calc

d6362794a24d625df29a8bcb6b9ce0f7309f2709

[ "MIT" ]

null

src/functions/damage_calc.py

tmaiello/rotmg-damage-calc

d6362794a24d625df29a8bcb6b9ce0f7309f2709

[ "MIT" ]

null

__author__ = "Tyler Maiello" from statistics import mean def damage_solve(character): return {"dps":((mean({character.slot_1['_min_damage'], character.slot_1['_max_damage']-1}) * (0.5 + character.att/50)) * character.slot_1['_num_projectiles']) * (1.5 + 6.5*(character.dex/75))} # return {"dps":((0.5 + character.att/50)*(mean({220,275})))} # return {"dps":((mean({220, 274}) * (0.5 + character.att/50)) * 1) * (1.5 + 6.5*(character.dex/75))}

57

196

0.635965

70

456

3.942857

0.414286

0.181159

0.152174

0.304348

0.130435

0

0.102244

0.120614

456

7

197

65.142857

0.586035

0.348684

0

0.183673

0

1

0.25

false

0

0.25

0.75

0

null

0

1

0

null

0

1

0

1

0

4

398c01a9467e4ea198ac33f727264f7ebd4ade2f

93

py

Python

cheeseclub/cheeseapp/apps.py

ejmcreates/cheeseclub-app

2bc0bdaf5f9f492528e72600fde2b5ddcdfb13bc

[ "Apache-2.0" ]

null

cheeseclub/cheeseapp/apps.py

ejmcreates/cheeseclub-app

2bc0bdaf5f9f492528e72600fde2b5ddcdfb13bc

[ "Apache-2.0" ]

null

cheeseclub/cheeseapp/apps.py

ejmcreates/cheeseclub-app

2bc0bdaf5f9f492528e72600fde2b5ddcdfb13bc

[ "Apache-2.0" ]

null

from django.apps import AppConfig class CheeseappConfig(AppConfig): name = 'cheeseapp'

15.5

33

0.763441

10

93

7.1

0.9

0

0.16129

93

5

34

18.6

0.910256

0

0.096774

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

39f09fb1463e67e1254ff69ee6f2f1b48e78e076

1,108

py

Python

gs/login/easylogin.py

groupserver/gs.login

ba5e171cec6ebfeb03a51ad3ef743f111572fee7

[ "ZPL-2.1" ]

null

gs/login/easylogin.py

groupserver/gs.login

ba5e171cec6ebfeb03a51ad3ef743f111572fee7

[ "ZPL-2.1" ]

null

gs/login/easylogin.py

groupserver/gs.login

ba5e171cec6ebfeb03a51ad3ef743f111572fee7

[ "ZPL-2.1" ]

null

# -*- coding: utf-8 -*- ############################################################################## # # Copyright © 2013 OnlineGroups.net and Contributors. # All Rights Reserved. # # This software is subject to the provisions of the Zope Public License, # Version 2.1 (ZPL). A copy of the ZPL should accompany this distribution. # THIS SOFTWARE IS PROVIDED "AS IS" AND ANY AND ALL EXPRESS OR IMPLIED # WARRANTIES ARE DISCLAIMED, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED # WARRANTIES OF TITLE, MERCHANTABILITY, AGAINST INFRINGEMENT, AND FITNESS # FOR A PARTICULAR PURPOSE. # ############################################################################## from __future__ import absolute_import from gs.viewlet import SiteViewlet from .util import seedGenerator class EasyLogin(SiteViewlet): @property def show(self): retval = self.loggedInUser.anonymous assert type(retval) == bool return retval def passwordsEncrypted(self): return bool(self.context.acl_users.encrypt_passwords) @property def encryptionSeed(self): return seedGenerator()

32.588235

78

0.628159

121

1,108

5.702479

0.68595

0.034783

0.04058

0

0.0076

0.168773

1,108

33

79

33.575758

0.740499

0.429603

0

0.142857

0

0.071429

1

0.214286

false

0.142857

0.214286

0.142857

0.714286

0

null

0

null

0

1

0

1

0

1

0

4

f2f9a1b2326a5c2754f6640290e6b97e72d39abb

139

py

Python

test/__init__.py

AnziiLuo/point_set_platform

fece24332c3e044f4ad892b8e8f446dc41d562b3

[ "MIT" ]

null

test/__init__.py

AnziiLuo/point_set_platform

fece24332c3e044f4ad892b8e8f446dc41d562b3

[ "MIT" ]

null

test/__init__.py

AnziiLuo/point_set_platform

fece24332c3e044f4ad892b8e8f446dc41d562b3

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: UTF-8 -*- """ @Project: point_set_platform @Author: anzii.Luo @Describe: @Date: 2021/8/3 """

15.444444

30

0.589928

19

139

4.210526

0.947368

0

0.061947

0.18705

139

8

31

17.375

0.646018

0.856115

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

8416ff5eb8cb61d12679ef47be36cefaaac4d98c

59

py

Python

tests/hardware_usage_notifier/cli/config/notifiers_test_instances/multiple_classes_in_file.py

ovidiupw/HardwareUsageNotifier

b5f600fa66c1ede1a2337c4a39fc6ec8a209dcf5

[ "MIT" ]

null

tests/hardware_usage_notifier/cli/config/notifiers_test_instances/multiple_classes_in_file.py

ovidiupw/HardwareUsageNotifier

b5f600fa66c1ede1a2337c4a39fc6ec8a209dcf5

[ "MIT" ]

null

tests/hardware_usage_notifier/cli/config/notifiers_test_instances/multiple_classes_in_file.py

ovidiupw/HardwareUsageNotifier

b5f600fa66c1ede1a2337c4a39fc6ec8a209dcf5

[ "MIT" ]

null

class Notifier: pass class AnotherNotifier: pass

8.428571

22

0.694915

6

59

6.833333

0.666667

0

0.271186

59

6

23

9.833333

0.953488

0

0.5

0

1

0

true

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

4

84191d8721df23d467577b2d696e5f68aacd9184

3,503

py

Python

typingwarmup/layout.py

againagainst/typingwarmup

ac9ccdc910245049b085c39e02d703bf0fc8e621

[ "Unlicense" ]

null

typingwarmup/layout.py

againagainst/typingwarmup

ac9ccdc910245049b085c39e02d703bf0fc8e621

[ "Unlicense" ]

null

typingwarmup/layout.py

againagainst/typingwarmup

ac9ccdc910245049b085c39e02d703bf0fc8e621

[ "Unlicense" ]

null

from enum import Enum class Finger(Enum): left_pinky = "left pinky" left_ring = "left ring" left_middle = "left middle" left_index = "left index" any_thumb = "thumb" right_index = "right index" right_middle = "right middle" right_ring = "right ring" right_pinky = "right pinky" other = "other" ISO = { "`": Finger.left_pinky, "~": Finger.left_pinky, "1": Finger.left_pinky, "!": Finger.left_pinky, "q": Finger.left_pinky, "a": Finger.left_pinky, "z": Finger.left_pinky, "Q": Finger.left_pinky, "A": Finger.left_pinky, "Z": Finger.left_pinky, "2": Finger.left_ring, "@": Finger.left_ring, "w": Finger.left_ring, "W": Finger.left_ring, "s": Finger.left_ring, "S": Finger.left_ring, "x": Finger.left_ring, "X": Finger.left_ring, "3": Finger.left_middle, "#": Finger.left_middle, "e": Finger.left_middle, "E": Finger.left_middle, "d": Finger.left_middle, "D": Finger.left_middle, "c": Finger.left_middle, "C": Finger.left_middle, "4": Finger.left_index, "$": Finger.left_index, "r": Finger.left_index, "R": Finger.left_index, "f": Finger.left_index, "F": Finger.left_index, "v": Finger.left_index, "V": Finger.left_index, "5": Finger.left_index, "%": Finger.left_index, "t": Finger.left_index, "T": Finger.left_index, "g": Finger.left_index, "G": Finger.left_index, "b": Finger.left_index, "B": Finger.left_index, "6": Finger.right_index, "^": Finger.right_index, "y": Finger.right_index, "Y": Finger.right_index, "h": Finger.right_index, "H": Finger.right_index, "n": Finger.right_index, "N": Finger.right_index, "7": Finger.right_index, "&": Finger.right_index, "u": Finger.right_index, "U": Finger.right_index, "j": Finger.right_index, "J": Finger.right_index, "m": Finger.right_index, "M": Finger.right_index, "8": Finger.right_middle, "*": Finger.right_middle, "i": Finger.right_middle, "I": Finger.right_middle, "k": Finger.right_middle, "K": Finger.right_middle, ",": Finger.right_middle, "<": Finger.right_middle, "9": Finger.right_ring, "(": Finger.right_ring, "o": Finger.right_ring, "O": Finger.right_ring, "l": Finger.right_ring, "L": Finger.right_ring, ".": Finger.right_ring, ">": Finger.right_ring, "0": Finger.right_pinky, ")": Finger.right_pinky, "p": Finger.right_pinky, "P": Finger.right_pinky, ";": Finger.right_pinky, ":": Finger.right_pinky, "/": Finger.right_pinky, "?": Finger.right_pinky, "-": Finger.right_pinky, "_": Finger.right_pinky, "=": Finger.right_pinky, "+": Finger.right_pinky, "[": Finger.right_pinky, "{": Finger.right_pinky, "]": Finger.right_pinky, "}": Finger.right_pinky, "\\": Finger.right_pinky, "|": Finger.right_pinky, "'": Finger.right_pinky, '"': Finger.right_pinky, " ": Finger.any_thumb, # Special keys "\t": Finger.left_pinky, "⎀": Finger.left_pinky, "⏎": Finger.right_pinky, "⌫": Finger.right_pinky, "\n": Finger.right_pinky, "\x1b": Finger.right_pinky, # Extra keys "⇧": Finger.other, "⇩": Finger.other, "⇦": Finger.other, "⇨": Finger.other, "⇤": Finger.other, "⇥": Finger.other, "⌦": Finger.other, "⤒": Finger.other, "⤓": Finger.other, "⎊": Finger.other, }

26.537879

33

0.596346

450

3,503

4.424444

0.151111

0.309392

0.192868

0.198895

0.748368

0.638373

0.195379

0

0.004029

0.220668

3,503

131

34

26.740458

0.720513

0.006566

0

0.060685

0

1

0

false

0

0.008

0

0.096

0

null

1

0

1

0

null

0

4

842dee7e7b4fdfdbbdda6b708fde5a51f847fe2c

147

py

Python

plugins/wikipedia/__init__.py

su226/IdhagnBot

a5db1b6ab69fdf67fd6e53a63b34c6bc863d6609

[ "MIT" ]

2

2022-02-14T06:37:05.000Z

2022-03-30T12:18:15.000Z

plugins/wikipedia/__init__.py

su226/IdhagnBot

a5db1b6ab69fdf67fd6e53a63b34c6bc863d6609

[ "MIT" ]

null

plugins/wikipedia/__init__.py

su226/IdhagnBot

a5db1b6ab69fdf67fd6e53a63b34c6bc863d6609

[ "MIT" ]

null

from .config import CONFIG from nonebot.log import logger if CONFIG.zim: from . import plugin as _ else: logger.info("没有提供ZIM文件，将不会加载维基百科插件")

18.375

38

0.761905

21

147

5.285714

0.666667

0

0.156463

147

7

39

21

0.895161

0

0.142857

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

4

fff8a34faf99c49f2230c34da9642c0e52ba77e9

3,470

py

Python

acceptance_tests/utilities/notify_helper.py

ONSdigital/ssdc-rm-acceptance-tests

eb842405a58ce24acd3c2972d39221cbcf0cbdf8

[ "MIT" ]

null

acceptance_tests/utilities/notify_helper.py

ONSdigital/ssdc-rm-acceptance-tests

eb842405a58ce24acd3c2972d39221cbcf0cbdf8

[ "MIT" ]

50

2021-06-21T06:52:19.000Z

2021-11-20T15:54:16.000Z

acceptance_tests/utilities/notify_helper.py

ONSdigital/ssdc-rm-acceptance-tests

eb842405a58ce24acd3c2972d39221cbcf0cbdf8

[ "MIT" ]

null

import json import requests from tenacity import retry, stop_after_delay, wait_fixed from acceptance_tests.utilities.test_case_helper import test_helper from config import Config def check_sms_fulfilment_response(sms_fulfilment_response, template): expect_uac_hash_and_qid_in_response = any( template_item in json.loads(template) for template_item in ['__qid__', '__uac__']) if expect_uac_hash_and_qid_in_response: test_helper.assertTrue(sms_fulfilment_response['uacHash'], f"sms_fulfilment_response uacHash not found: {sms_fulfilment_response}") test_helper.assertTrue(sms_fulfilment_response['qid'], f"sms_fulfilment_response qid not found: {sms_fulfilment_response}") else: test_helper.assertFalse( sms_fulfilment_response) # Empty JSON is expected response for non-UAC/QID template def check_email_fulfilment_response(email_fulfilment_response, template): expect_uac_hash_and_qid_in_response = any( template_item in json.loads(template) for template_item in ['__qid__', '__uac__']) if expect_uac_hash_and_qid_in_response: test_helper.assertTrue(email_fulfilment_response['uacHash'], f"email_fulfilment_response uacHash not found: {email_fulfilment_response}") test_helper.assertTrue(email_fulfilment_response['qid'], f"email_fulfilment_response qid not found: {email_fulfilment_response}") else: test_helper.assertFalse( email_fulfilment_response) # Empty JSON is expected response for non-UAC/QID template @retry(wait=wait_fixed(1), stop=stop_after_delay(30)) def check_notify_api_called_with_correct_notify_template_id(phone_number, notify_template_id): response = requests.get(f'{Config.NOTIFY_STUB_SERVICE}/log/sms') test_helper.assertEqual(response.status_code, 200, "Unexpected status code") response_json = response.json() test_helper.assertEqual(len(response_json), 1, f"Incorrect number of responses, response json {response_json}") test_helper.assertEqual(response_json[0]["phone_number"], phone_number, "Incorrect phone number, " f'response json {response_json}') test_helper.assertEqual(response_json[0]["template_id"], notify_template_id, f"Incorrect Gov Notify template Id, response json {response_json}") return response_json[0] @retry(wait=wait_fixed(1), stop=stop_after_delay(30)) def check_notify_api_called_with_correct_email_and_notify_template_id(email, notify_template_id): response = requests.get(f'{Config.NOTIFY_STUB_SERVICE}/log/email') test_helper.assertEqual(response.status_code, 200, "Unexpected status code") response_json = response.json() test_helper.assertEqual(len(response_json), 1, f"Incorrect number of responses, response json {response_json}") test_helper.assertEqual(response_json[0]["email_address"], email, "Incorrect email, " f'response json {response_json}') test_helper.assertEqual(response_json[0]["template_id"], notify_template_id, f"Incorrect Gov Notify template Id, response json {response_json}") return response_json[0] def reset_notify_stub(): requests.get(f'{Config.NOTIFY_STUB_SERVICE}/reset')

51.029412

115

0.712968

430

3,470

5.365116

0.174419

0.124837

0.081925

0.083225

0.815345

0.74599

0.708713

0.631123

0

0.007241

0.204035

3,470

67

116

51.791045

0.828023

0.032565

0

0.509804

0

0.257603

0.091831

0

0.27451

1

0.098039

false

0

0.098039

0

0.235294

0

null

0

1

0

1

0

null

0

4

08064ae9fc61ee88d3b7f688312ed8057b76e1ad

305

py

Python

test/test_day_03.py

jacobogomez/adventofcode2021

ce04ebfce991ce3fcdd8891ed19111c4f50a40ef

[ "MIT" ]

null

test/test_day_03.py

jacobogomez/adventofcode2021

ce04ebfce991ce3fcdd8891ed19111c4f50a40ef

[ "MIT" ]

null

test/test_day_03.py

jacobogomez/adventofcode2021

ce04ebfce991ce3fcdd8891ed19111c4f50a40ef

[ "MIT" ]

null

import pytest from adventofcode2021 import day_03 from .utils import load_file @pytest.fixture def input_file(): return load_file("input/day_03.txt") def test_day_03_part_one(input_file): part_one_answer = day_03.calculate_power_consumption(input_file) assert part_one_answer == 3958484

19.0625

68

0.793443

47

305

4.765957

0.489362

0.089286

0.116071

0

0.072243

0.137705

305

15

69

20.333333

0.779468

0

0.052459

0

0.111111

1

0.222222

false

0

0.333333

0.111111

0.666667

0

null

0

null

0

1

0

1

0

4

0811bd2006046d19deea3fdf6bee40a65398753e

215

py

Python

SolotNet/trainers/train_factory.py

ASolot/light_obj_detection

ca141bbd1c9d4b79278130531f33a54a0052768d

[ "MIT" ]

1

2019-07-10T10:45:02.000Z

SolotNet/trainers/train_factory.py

ASolot/light_obj_detection

ca141bbd1c9d4b79278130531f33a54a0052768d

[ "MIT" ]

null

SolotNet/trainers/train_factory.py

ASolot/light_obj_detection

ca141bbd1c9d4b79278130531f33a54a0052768d

[ "MIT" ]

null

from __future__ import absolute_import from __future__ import division from __future__ import print_function from .ctdet import CtdetTrainer train_factory = { 'ctdet': CtdetTrainer, # 'yolo' : YOLOTrainer, }

17.916667

38

0.786047

24

215

6.416667

0.541667

0.194805

0.311688

0

0.153488

215

11

39

19.545455

0.846154

0.097674

0

0.026042

0

1

0

false

0

0.571429

0

0.571429

0.142857

1

0

null

0

1

0

null

0

1

0

1

0

4

0831b0ebdba057fa0d6fca8e235e59c6e256c7f2

61

py

Python

curami/preprocess/__init__.py

EBIBioSamples/curami-v2

671ec5f1d48b866c6ccb24fcddfb80610c377e07

[ "Apache-2.0" ]

null

curami/preprocess/__init__.py

EBIBioSamples/curami-v2

671ec5f1d48b866c6ccb24fcddfb80610c377e07

[ "Apache-2.0" ]

2

2020-07-02T13:56:03.000Z

2021-06-01T23:51:49.000Z

curami/preprocess/__init__.py

EBIBioSamples/curami-v2

671ec5f1d48b866c6ccb24fcddfb80610c377e07

[ "Apache-2.0" ]

null

if __name__ == "__main__": print("Preprocessing data")

12.2

31

0.655738

6

61

5.333333

1

0

0.196721

61

4

32

15.25

0.653061

0

0.440678

0

1

0

true

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

4

083cb7950977ead5e5f962ddee6bd4ca9da95dc1

33

py

Python

snippets/python/network/puppeteer/query_selector.py

c6401/Snippets

a88d97005658eeda99f1a2766e3d069a64e142cb

[ "MIT" ]

null

snippets/python/network/puppeteer/query_selector.py

c6401/Snippets

a88d97005658eeda99f1a2766e3d069a64e142cb

[ "MIT" ]

null

snippets/python/network/puppeteer/query_selector.py

c6401/Snippets

a88d97005658eeda99f1a2766e3d069a64e142cb

[ "MIT" ]

null

await (await page.J('')).click()

16.5

32

0.606061

5

33

4

0.8

0

0.090909

33

1

33

0.666667

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

4

0841d2621825699ef9f4ac1ffa4d6d3a698896a9

104

py

Python

board/sv6266_evb/ucube.py

ghsecuritylab/store

8e87ddd4a5046a4e8c7e344e935b246430f43bdf

[ "Apache-2.0" ]

4

2019-11-22T04:28:29.000Z

2021-07-06T10:45:10.000Z

board/sv6266_evb/ucube.py

ghsecuritylab/store

8e87ddd4a5046a4e8c7e344e935b246430f43bdf

[ "Apache-2.0" ]

1

2019-04-02T10:03:10.000Z

board/sv6266_evb/ucube.py

ghsecuritylab/store

8e87ddd4a5046a4e8c7e344e935b246430f43bdf

[ "Apache-2.0" ]

6

2019-08-30T09:43:03.000Z

2021-04-05T04:20:41.000Z

linux_only_targets="athostapp coapapp helloworld http2app meshapp modbus_demo mqttapp tls udataapp yts"

52

103

0.875

14

104

6.285714

1

0

0.010638

0.096154

104

1

104

0.925532

0

0.788462

0

1

0

false

0

1

0

null

0

1

0

1

0

1

0

null

0

4

f23b46dae229b87a478d914c551d49cd22a75caa

62,274

py

Python

create_coco_tf_record.py

missingstuffedbun/detr

a510b053e4b18592319705b7012bdcb744bd40f2

[ "Apache-2.0" ]

null

create_coco_tf_record.py

missingstuffedbun/detr

a510b053e4b18592319705b7012bdcb744bd40f2

[ "Apache-2.0" ]

null

create_coco_tf_record.py

missingstuffedbun/detr

a510b053e4b18592319705b7012bdcb744bd40f2

[ "Apache-2.0" ]

null

警告：您目前连接的是 GPU 运行时，但是没有使用 GPU。 vit vit_ See code at https://github.com/google-research/vision_transformer/ See papers at Vision Transformer: https://arxiv.org/abs/2010.11929 MLP-Mixer: https://arxiv.org/abs/2105.01601 How to train your ViT: https://arxiv.org/abs/2106.10270 When Vision Transformers Outperform ResNets without Pretraining or Strong Data Augmentations: https://arxiv.org/abs/2106.01548 This Colab allows you to run the JAX implementation of the Vision Transformer. If you just want to load a pre-trained checkpoint from a large repository and directly use it for inference, you probably want to go the other Colab https://colab.sandbox.google.com/github/google-research/vision_transformer/blob/linen/vit_jax_augreg.ipynb [2] %%bash pip install oss2 pip install tensorflow-object-detection-api [3] 26 秒 import os from google.colab import drive import oss2 drive.mount('/content/drive',force_remount=True) os.chdir("/content/drive/MyDrive/Colab Notebooks") Mounted at /content/drive [4] 1 分钟 %%bash # git clone https://github.com/missingstuffedbun/detr.git # git clone https://github.com/tensorflow/models.git # git clone --depth=1 https://github.com/google-research/vision_transformer pip install -qr vision_transformer/vit_jax/requirements.txt ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. yellowbrick 1.3.post1 requires numpy<1.20,>=1.16.0, but you have numpy 1.21.5 which is incompatible. datascience 0.10.6 requires folium==0.2.1, but you have folium 0.8.3 which is incompatible. albumentations 0.1.12 requires imgaug<0.2.7,>=0.2.5, but you have imgaug 0.2.9 which is incompatible. [5] 0 秒 # %%bash # gsutil ls -lh gs://vit_models/imagenet* # gsutil ls -lh gs://vit_models/sam # gsutil ls -lh gs://mixer_models/* [6] 0 秒 # # Download a pre-trained model. # # Note: you can really choose any of the above, but this Colab has been tested # # with the models of below selection... # model_name = 'Mixer-B_16' #@param ["ViT-B_32", "Mixer-B_16"] # if model_name.startswith('ViT'): # ![ -e "$model_name".npz ] || gsutil cp gs://vit_models/imagenet21k/"$model_name".npz . # if model_name.startswith('Mixer'): # ![ -e "$model_name".npz ] || gsutil cp gs://mixer_models/imagenet21k/"$model_name".npz . # import os # assert os.path.exists(f'{model_name}.npz') [7] 0 秒 os.environ['DATAPATH'] = '/content' [8] 7 秒 %%bash mkdir -p /content/input mkdir -p /content/working mkdir -p /content/input/sarship mkdir -p /content/input/sarship/train mkdir -p /content/input/sarship/val mkdir -p /content/input/sarship/test tar -C /content/input/sarship/train -xf ./sarship/train.tar tar -C /content/input/sarship/val -xf ./sarship/val.tar tar -C /content/input/sarship/test -xf ./sarship/test.tar mkdir /content/input/tf [9] 7 秒 ali_key = 'LTAI5tDZzxHjQET1nQa1z1Pg' ali_token = 'kYoV38UUEHK5ha2UTiVa0bm6s38aMF' auth = oss2.Auth(ali_key, ali_token) bucket = oss2.Bucket(auth, 'https://oss-cn-shenzhen.aliyuncs.com', 'missingstuffedbun-shelter227') bucket.get_object_to_file('custom_train.json', '{}/working/custom_train.json'.format(os.environ['DATAPATH'])) bucket.get_object_to_file('custom_val.json', '{}/working/custom_val.json'.format(os.environ['DATAPATH'])) bucket.get_object_to_file('custom_test.json', '{}/working/custom_test.json'.format(os.environ['DATAPATH'])) <oss2.models.GetObjectResult at 0x7f89394a3ed0> [19] 2 秒 ! rm -rf detr && git clone https://github.com/missingstuffedbun/detr.git Cloning into 'detr'... remote: Enumerating objects: 296, done. remote: Counting objects: 100% (12/12), done. remote: Compressing objects: 100% (12/12), done. remote: Total 296 (delta 6), reused 0 (delta 0), pack-reused 284 Receiving objects: 100% (296/296), 12.86 MiB | 17.46 MiB/s, done. Resolving deltas: 100% (162/162), done. [31] 22 秒 %%bash python detr/create_coco_tf_record.py --logtostderr \ --train_image_dir=$DATAPATH/input/sarship/train/train \ --val_image_dir=$DATAPATH/input/sarship/val/val \ --test_image_dir=$DATAPATH/input/sarship/test/test \ --train_annotations_file=$DATAPATH/working/custom_train.json \ --val_annotations_file=$DATAPATH/working/custom_val.json \ --test_annotations_file=$DATAPATH/working/custom_test.json \ --output_dir=$DATAPATH/input/tf INFO:tensorflow:Found groundtruth annotations. Building annotations index. I0209 07:29:29.604328 140107823540096 create_coco_tf_record.py:209] Found groundtruth annotations. Building annotations index. INFO:tensorflow:0 images are missing annotations. I0209 07:29:29.628294 140107823540096 create_coco_tf_record.py:222] 0 images are missing annotations. INFO:tensorflow:On image 0 of 30674 I0209 07:29:29.628699 140107823540096 create_coco_tf_record.py:227] On image 0 of 30674 INFO:tensorflow:On image 100 of 30674 I0209 07:29:29.693423 140107823540096 create_coco_tf_record.py:227] On image 100 of 30674 INFO:tensorflow:On image 200 of 30674 I0209 07:29:29.739282 140107823540096 create_coco_tf_record.py:227] On image 200 of 30674 INFO:tensorflow:On image 300 of 30674 I0209 07:29:29.788515 140107823540096 create_coco_tf_record.py:227] On image 300 of 30674 INFO:tensorflow:On image 400 of 30674 I0209 07:29:29.836873 140107823540096 create_coco_tf_record.py:227] On image 400 of 30674 INFO:tensorflow:On image 500 of 30674 I0209 07:29:29.885482 140107823540096 create_coco_tf_record.py:227] On image 500 of 30674 INFO:tensorflow:On image 600 of 30674 I0209 07:29:29.933938 140107823540096 create_coco_tf_record.py:227] On image 600 of 30674 INFO:tensorflow:On image 700 of 30674 I0209 07:29:29.982747 140107823540096 create_coco_tf_record.py:227] On image 700 of 30674 INFO:tensorflow:On image 800 of 30674 I0209 07:29:30.032539 140107823540096 create_coco_tf_record.py:227] On image 800 of 30674 INFO:tensorflow:On image 900 of 30674 I0209 07:29:30.083466 140107823540096 create_coco_tf_record.py:227] On image 900 of 30674 INFO:tensorflow:On image 1000 of 30674 I0209 07:29:30.131664 140107823540096 create_coco_tf_record.py:227] On image 1000 of 30674 INFO:tensorflow:On image 1100 of 30674 I0209 07:29:30.180252 140107823540096 create_coco_tf_record.py:227] On image 1100 of 30674 INFO:tensorflow:On image 1200 of 30674 I0209 07:29:30.228890 140107823540096 create_coco_tf_record.py:227] On image 1200 of 30674 INFO:tensorflow:On image 1300 of 30674 I0209 07:29:30.277408 140107823540096 create_coco_tf_record.py:227] On image 1300 of 30674 INFO:tensorflow:On image 1400 of 30674 I0209 07:29:30.326297 140107823540096 create_coco_tf_record.py:227] On image 1400 of 30674 INFO:tensorflow:On image 1500 of 30674 I0209 07:29:30.376172 140107823540096 create_coco_tf_record.py:227] On image 1500 of 30674 INFO:tensorflow:On image 1600 of 30674 I0209 07:29:30.424551 140107823540096 create_coco_tf_record.py:227] On image 1600 of 30674 INFO:tensorflow:On image 1700 of 30674 I0209 07:29:30.473644 140107823540096 create_coco_tf_record.py:227] On image 1700 of 30674 INFO:tensorflow:On image 1800 of 30674 I0209 07:29:30.522514 140107823540096 create_coco_tf_record.py:227] On image 1800 of 30674 INFO:tensorflow:On image 1900 of 30674 I0209 07:29:30.570660 140107823540096 create_coco_tf_record.py:227] On image 1900 of 30674 INFO:tensorflow:On image 2000 of 30674 I0209 07:29:30.625664 140107823540096 create_coco_tf_record.py:227] On image 2000 of 30674 INFO:tensorflow:On image 2100 of 30674 I0209 07:29:30.678481 140107823540096 create_coco_tf_record.py:227] On image 2100 of 30674 INFO:tensorflow:On image 2200 of 30674 I0209 07:29:30.726355 140107823540096 create_coco_tf_record.py:227] On image 2200 of 30674 INFO:tensorflow:On image 2300 of 30674 I0209 07:29:30.773896 140107823540096 create_coco_tf_record.py:227] On image 2300 of 30674 INFO:tensorflow:On image 2400 of 30674 I0209 07:29:30.822477 140107823540096 create_coco_tf_record.py:227] On image 2400 of 30674 INFO:tensorflow:On image 2500 of 30674 I0209 07:29:30.871159 140107823540096 create_coco_tf_record.py:227] On image 2500 of 30674 INFO:tensorflow:On image 2600 of 30674 I0209 07:29:30.919014 140107823540096 create_coco_tf_record.py:227] On image 2600 of 30674 INFO:tensorflow:On image 2700 of 30674 I0209 07:29:30.969668 140107823540096 create_coco_tf_record.py:227] On image 2700 of 30674 INFO:tensorflow:On image 2800 of 30674 I0209 07:29:31.022307 140107823540096 create_coco_tf_record.py:227] On image 2800 of 30674 INFO:tensorflow:On image 2900 of 30674 I0209 07:29:31.073893 140107823540096 create_coco_tf_record.py:227] On image 2900 of 30674 INFO:tensorflow:On image 3000 of 30674 I0209 07:29:31.125197 140107823540096 create_coco_tf_record.py:227] On image 3000 of 30674 INFO:tensorflow:On image 3100 of 30674 I0209 07:29:31.180253 140107823540096 create_coco_tf_record.py:227] On image 3100 of 30674 INFO:tensorflow:On image 3200 of 30674 I0209 07:29:31.235112 140107823540096 create_coco_tf_record.py:227] On image 3200 of 30674 INFO:tensorflow:On image 3300 of 30674 I0209 07:29:31.288720 140107823540096 create_coco_tf_record.py:227] On image 3300 of 30674 INFO:tensorflow:On image 3400 of 30674 I0209 07:29:31.340614 140107823540096 create_coco_tf_record.py:227] On image 3400 of 30674 INFO:tensorflow:On image 3500 of 30674 I0209 07:29:31.393158 140107823540096 create_coco_tf_record.py:227] On image 3500 of 30674 INFO:tensorflow:On image 3600 of 30674 I0209 07:29:31.442740 140107823540096 create_coco_tf_record.py:227] On image 3600 of 30674 INFO:tensorflow:On image 3700 of 30674 I0209 07:29:31.491904 140107823540096 create_coco_tf_record.py:227] On image 3700 of 30674 INFO:tensorflow:On image 3800 of 30674 I0209 07:29:31.539294 140107823540096 create_coco_tf_record.py:227] On image 3800 of 30674 INFO:tensorflow:On image 3900 of 30674 I0209 07:29:31.587508 140107823540096 create_coco_tf_record.py:227] On image 3900 of 30674 INFO:tensorflow:On image 4000 of 30674 I0209 07:29:31.641140 140107823540096 create_coco_tf_record.py:227] On image 4000 of 30674 INFO:tensorflow:On image 4100 of 30674 I0209 07:29:31.706291 140107823540096 create_coco_tf_record.py:227] On image 4100 of 30674 INFO:tensorflow:On image 4200 of 30674 I0209 07:29:31.756948 140107823540096 create_coco_tf_record.py:227] On image 4200 of 30674 INFO:tensorflow:On image 4300 of 30674 I0209 07:29:31.805401 140107823540096 create_coco_tf_record.py:227] On image 4300 of 30674 INFO:tensorflow:On image 4400 of 30674 I0209 07:29:31.855589 140107823540096 create_coco_tf_record.py:227] On image 4400 of 30674 INFO:tensorflow:On image 4500 of 30674 I0209 07:29:31.914511 140107823540096 create_coco_tf_record.py:227] On image 4500 of 30674 INFO:tensorflow:On image 4600 of 30674 I0209 07:29:31.963276 140107823540096 create_coco_tf_record.py:227] On image 4600 of 30674 INFO:tensorflow:On image 4700 of 30674 I0209 07:29:32.013589 140107823540096 create_coco_tf_record.py:227] On image 4700 of 30674 INFO:tensorflow:On image 4800 of 30674 I0209 07:29:32.061713 140107823540096 create_coco_tf_record.py:227] On image 4800 of 30674 INFO:tensorflow:On image 4900 of 30674 I0209 07:29:32.108964 140107823540096 create_coco_tf_record.py:227] On image 4900 of 30674 INFO:tensorflow:On image 5000 of 30674 I0209 07:29:32.158765 140107823540096 create_coco_tf_record.py:227] On image 5000 of 30674 INFO:tensorflow:On image 5100 of 30674 I0209 07:29:32.206059 140107823540096 create_coco_tf_record.py:227] On image 5100 of 30674 INFO:tensorflow:On image 5200 of 30674 I0209 07:29:32.253255 140107823540096 create_coco_tf_record.py:227] On image 5200 of 30674 INFO:tensorflow:On image 5300 of 30674 I0209 07:29:32.301648 140107823540096 create_coco_tf_record.py:227] On image 5300 of 30674 INFO:tensorflow:On image 5400 of 30674 I0209 07:29:32.349104 140107823540096 create_coco_tf_record.py:227] On image 5400 of 30674 INFO:tensorflow:On image 5500 of 30674 I0209 07:29:32.397424 140107823540096 create_coco_tf_record.py:227] On image 5500 of 30674 INFO:tensorflow:On image 5600 of 30674 I0209 07:29:32.445731 140107823540096 create_coco_tf_record.py:227] On image 5600 of 30674 INFO:tensorflow:On image 5700 of 30674 I0209 07:29:32.498605 140107823540096 create_coco_tf_record.py:227] On image 5700 of 30674 INFO:tensorflow:On image 5800 of 30674 I0209 07:29:32.550360 140107823540096 create_coco_tf_record.py:227] On image 5800 of 30674 INFO:tensorflow:On image 5900 of 30674 I0209 07:29:32.603603 140107823540096 create_coco_tf_record.py:227] On image 5900 of 30674 INFO:tensorflow:On image 6000 of 30674 I0209 07:29:32.663421 140107823540096 create_coco_tf_record.py:227] On image 6000 of 30674 INFO:tensorflow:On image 6100 of 30674 I0209 07:29:32.715036 140107823540096 create_coco_tf_record.py:227] On image 6100 of 30674 INFO:tensorflow:On image 6200 of 30674 I0209 07:29:32.766527 140107823540096 create_coco_tf_record.py:227] On image 6200 of 30674 INFO:tensorflow:On image 6300 of 30674 I0209 07:29:32.817535 140107823540096 create_coco_tf_record.py:227] On image 6300 of 30674 INFO:tensorflow:On image 6400 of 30674 I0209 07:29:32.868805 140107823540096 create_coco_tf_record.py:227] On image 6400 of 30674 INFO:tensorflow:On image 6500 of 30674 I0209 07:29:32.917942 140107823540096 create_coco_tf_record.py:227] On image 6500 of 30674 INFO:tensorflow:On image 6600 of 30674 I0209 07:29:32.966505 140107823540096 create_coco_tf_record.py:227] On image 6600 of 30674 INFO:tensorflow:On image 6700 of 30674 I0209 07:29:33.017308 140107823540096 create_coco_tf_record.py:227] On image 6700 of 30674 INFO:tensorflow:On image 6800 of 30674 I0209 07:29:33.070329 140107823540096 create_coco_tf_record.py:227] On image 6800 of 30674 INFO:tensorflow:On image 6900 of 30674 I0209 07:29:33.121753 140107823540096 create_coco_tf_record.py:227] On image 6900 of 30674 INFO:tensorflow:On image 7000 of 30674 I0209 07:29:33.172006 140107823540096 create_coco_tf_record.py:227] On image 7000 of 30674 INFO:tensorflow:On image 7100 of 30674 I0209 07:29:33.221570 140107823540096 create_coco_tf_record.py:227] On image 7100 of 30674 INFO:tensorflow:On image 7200 of 30674 I0209 07:29:33.272365 140107823540096 create_coco_tf_record.py:227] On image 7200 of 30674 INFO:tensorflow:On image 7300 of 30674 I0209 07:29:33.323337 140107823540096 create_coco_tf_record.py:227] On image 7300 of 30674 INFO:tensorflow:On image 7400 of 30674 I0209 07:29:33.374330 140107823540096 create_coco_tf_record.py:227] On image 7400 of 30674 INFO:tensorflow:On image 7500 of 30674 I0209 07:29:33.427039 140107823540096 create_coco_tf_record.py:227] On image 7500 of 30674 INFO:tensorflow:On image 7600 of 30674 I0209 07:29:33.480286 140107823540096 create_coco_tf_record.py:227] On 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140107823540096 create_coco_tf_record.py:227] On image 8400 of 30674 INFO:tensorflow:On image 8500 of 30674 I0209 07:29:33.957587 140107823540096 create_coco_tf_record.py:227] On image 8500 of 30674 INFO:tensorflow:On image 8600 of 30674 I0209 07:29:34.009991 140107823540096 create_coco_tf_record.py:227] On image 8600 of 30674 INFO:tensorflow:On image 8700 of 30674 I0209 07:29:34.062829 140107823540096 create_coco_tf_record.py:227] On image 8700 of 30674 INFO:tensorflow:On image 8800 of 30674 I0209 07:29:34.113940 140107823540096 create_coco_tf_record.py:227] On image 8800 of 30674 INFO:tensorflow:On image 8900 of 30674 I0209 07:29:34.162796 140107823540096 create_coco_tf_record.py:227] On image 8900 of 30674 INFO:tensorflow:On image 9000 of 30674 I0209 07:29:34.212890 140107823540096 create_coco_tf_record.py:227] On image 9000 of 30674 INFO:tensorflow:On image 9100 of 30674 I0209 07:29:34.262891 140107823540096 create_coco_tf_record.py:227] On image 9100 of 30674 INFO:tensorflow:On 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I0209 07:29:45.072056 140107823540096 create_coco_tf_record.py:234] Finished writing, skipped 652 annotations. INFO:tensorflow:Found groundtruth annotations. Building annotations index. I0209 07:29:45.282140 140107823540096 create_coco_tf_record.py:209] Found groundtruth annotations. Building annotations index. INFO:tensorflow:0 images are missing annotations. I0209 07:29:45.285487 140107823540096 create_coco_tf_record.py:222] 0 images are missing annotations. 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I0209 07:29:47.582033 140107823540096 create_coco_tf_record.py:234] Finished writing, skipped 103 annotations. Load dataset [ ] dataset = 'cifar10' batch_size = 512 config = common_config.with_dataset(common_config.get_config(), dataset) num_classes = input_pipeline.get_dataset_info(dataset, 'train')['num_classes'] config.batch = batch_size config.pp.crop = 224 INFO:absl:Load pre-computed DatasetInfo (eg: splits, num examples,...) from GCS: cifar10/3.0.2 INFO:absl:Load dataset info from /tmp/tmp8pyec2amtfds INFO:absl:Field info.citation from disk and from code do not match. Keeping the one from code. [ ] # For details about setting up datasets, see input_pipeline.py on the right. ds_train = input_pipeline.get_data_from_tfds(config=config, mode='train') ds_test = input_pipeline.get_data_from_tfds(config=config, mode='test') del config # Only needed to instantiate datasets. [ ] # Fetch a batch of test images for illustration purposes. batch = next(iter(ds_test.as_numpy_iterator())) # Note the shape : [num_local_devices, local_batch_size, h, w, c] batch['image'].shape (1, 512, 224, 224, 3) [ ] # Show some imags with their labels. images, labels = batch['image'][0][:9], batch['label'][0][:9] titles = map(make_label_getter(dataset), labels.argmax(axis=1)) show_img_grid(images, titles) [ ] # Same as above, but with train images. # Note how images are cropped/scaled differently. # Check out input_pipeline.get_data() in the editor at your right to see how the # images are preprocessed differently. batch = next(iter(ds_train.as_numpy_iterator())) images, labels = batch['image'][0][:9], batch['label'][0][:9] titles = map(make_label_getter(dataset), labels.argmax(axis=1)) show_img_grid(images, titles) Load pre-trained [ ] model_config = models_config.MODEL_CONFIGS[model_name] model_config classifier: token hidden_size: 768 name: ViT-B_32 patches: size: !!python/tuple - 32 - 32 representation_size: null transformer: attention_dropout_rate: 0.0 dropout_rate: 0.0 mlp_dim: 3072 num_heads: 12 num_layers: 12 [ ] # Load model definition & initialize random parameters. # This also compiles the model to XLA (takes some minutes the first time). if model_name.startswith('Mixer'): model = models.MlpMixer(num_classes=num_classes, **model_config) else: model = models.VisionTransformer(num_classes=num_classes, **model_config) variables = jax.jit(lambda: model.init( jax.random.PRNGKey(0), # Discard the "num_local_devices" dimension of the batch for initialization. batch['image'][0, :1], train=False, ), backend='cpu')() [ ] # Load and convert pretrained checkpoint. # This involves loading the actual pre-trained model results, but then also also # modifying the parameters a bit, e.g. changing the final layers, and resizing # the positional embeddings. # For details, refer to the code and to the methods of the paper. params = checkpoint.load_pretrained( pretrained_path=f'{model_name}.npz', init_params=variables['params'], model_config=model_config, ) INFO:absl:Inspect extra keys: {'pre_logits/bias', 'pre_logits/kernel'} INFO:absl:load_pretrained: drop-head variant Evaluate [ ] # So far, all our data is in the host memory. Let's now replicate the arrays # into the devices. # This will make every array in the pytree params become a ShardedDeviceArray # that has the same data replicated across all local devices. # For TPU it replicates the params in every core. # For a single GPU this simply moves the data onto the device. # For CPU it simply creates a copy. params_repl = flax.jax_utils.replicate(params) print('params.cls:', type(params['head']['bias']).__name__, params['head']['bias'].shape) print('params_repl.cls:', type(params_repl['head']['bias']).__name__, params_repl['head']['bias'].shape) params.cls: DeviceArray (10,) params_repl.cls: ShardedDeviceArray (1, 10) /usr/local/lib/python3.7/dist-packages/jax/lib/xla_bridge.py:317: UserWarning: jax.host_count has been renamed to jax.process_count. This alias will eventually be removed; please update your code. "jax.host_count has been renamed to jax.process_count. This alias " /usr/local/lib/python3.7/dist-packages/jax/lib/xla_bridge.py:304: UserWarning: jax.host_id has been renamed to jax.process_index. This alias will eventually be removed; please update your code. "jax.host_id has been renamed to jax.process_index. This alias " [ ] # Then map the call to our model's forward pass onto all available devices. vit_apply_repl = jax.pmap(lambda params, inputs: model.apply( dict(params=params), inputs, train=False)) [ ] def get_accuracy(params_repl): """Returns accuracy evaluated on the test set.""" good = total = 0 steps = input_pipeline.get_dataset_info(dataset, 'test')['num_examples'] // batch_size for _, batch in zip(tqdm.trange(steps), ds_test.as_numpy_iterator()): predicted = vit_apply_repl(params_repl, batch['image']) is_same = predicted.argmax(axis=-1) == batch['label'].argmax(axis=-1) good += is_same.sum() total += len(is_same.flatten()) return good / total [ ] # Random performance without fine-tuning. get_accuracy(params_repl) INFO:absl:Load dataset info from /root/tensorflow_datasets/cifar10/3.0.2 100%|██████████| 19/19 [01:07<00:00, 3.58s/it] DeviceArray(0.10063734, dtype=float32) Fine-tune [ ] # 100 Steps take approximately 15 minutes in the TPU runtime. total_steps = 100 warmup_steps = 5 decay_type = 'cosine' grad_norm_clip = 1 # This controls in how many forward passes the batch is split. 8 works well with # a TPU runtime that has 8 devices. 64 should work on a GPU. You can of course # also adjust the batch_size above, but that would require you to adjust the # learning rate accordingly. accum_steps = 8 base_lr = 0.03 [ ] # Check out train.make_update_fn in the editor on the right side for details. lr_fn = utils.create_learning_rate_schedule(total_steps, base_lr, decay_type, warmup_steps) update_fn_repl = train.make_update_fn( apply_fn=model.apply, accum_steps=accum_steps, lr_fn=lr_fn) # We use a momentum optimizer that uses half precision for state to save # memory. It als implements the gradient clipping. opt = momentum_clip.Optimizer(grad_norm_clip=grad_norm_clip).create(params) opt_repl = flax.jax_utils.replicate(opt) /usr/local/lib/python3.7/dist-packages/jax/lib/xla_bridge.py:317: UserWarning: jax.host_count has been renamed to jax.process_count. This alias will eventually be removed; please update your code. "jax.host_count has been renamed to jax.process_count. This alias " /usr/local/lib/python3.7/dist-packages/jax/lib/xla_bridge.py:304: UserWarning: jax.host_id has been renamed to jax.process_index. This alias will eventually be removed; please update your code. "jax.host_id has been renamed to jax.process_index. This alias " [ ] # Initialize PRNGs for dropout. update_rng_repl = flax.jax_utils.replicate(jax.random.PRNGKey(0)) /usr/local/lib/python3.7/dist-packages/jax/lib/xla_bridge.py:317: UserWarning: jax.host_count has been renamed to jax.process_count. This alias will eventually be removed; please update your code. "jax.host_count has been renamed to jax.process_count. This alias " /usr/local/lib/python3.7/dist-packages/jax/lib/xla_bridge.py:304: UserWarning: jax.host_id has been renamed to jax.process_index. This alias will eventually be removed; please update your code. "jax.host_id has been renamed to jax.process_index. This alias " [ ] losses = [] lrs = [] # Completes in ~20 min on the TPU runtime. for step, batch in zip( tqdm.trange(1, total_steps + 1), ds_train.as_numpy_iterator(), ): opt_repl, loss_repl, update_rng_repl = update_fn_repl( opt_repl, flax.jax_utils.replicate(step), batch, update_rng_repl) losses.append(loss_repl[0]) lrs.append(lr_fn(step)) plt.plot(losses) plt.figure() plt.plot(lrs) [ ] # Should be ~96.7% for Mixer-B/16 or 97.7% for ViT-B/32 on CIFAR10 (both @224) get_accuracy(opt_repl.target) INFO:absl:Load dataset info from /root/tensorflow_datasets/cifar10/3.0.2 100%|██████████| 19/19 [00:32<00:00, 1.73s/it] DeviceArray(0.9762541, dtype=float32) Inference [ ] # Download a pre-trained model. if model_name.startswith('Mixer'): # Download model trained on imagenet2012 ![ -e "$model_name"_imagenet2012.npz ] || gsutil cp gs://mixer_models/imagenet1k/"$model_name".npz "$model_name"_imagenet2012.npz model = models.MlpMixer(num_classes=1000, **model_config) else: # Download model pre-trained on imagenet21k and fine-tuned on imagenet2012. ![ -e "$model_name"_imagenet2012.npz ] || gsutil cp gs://vit_models/imagenet21k+imagenet2012/"$model_name".npz "$model_name"_imagenet2012.npz model = models.VisionTransformer(num_classes=1000, **model_config) import os assert os.path.exists(f'{model_name}_imagenet2012.npz') [ ] # Load and convert pretrained checkpoint. params = checkpoint.load(f'{model_name}_imagenet2012.npz') params['pre_logits'] = {} # Need to restore empty leaf for Flax. [ ] # Get imagenet labels. !wget https://storage.googleapis.com/bit_models/ilsvrc2012_wordnet_lemmas.txt imagenet_labels = dict(enumerate(open('ilsvrc2012_wordnet_lemmas.txt'))) --2021-06-20 16:44:59-- https://storage.googleapis.com/bit_models/ilsvrc2012_wordnet_lemmas.txt Resolving storage.googleapis.com (storage.googleapis.com)... 74.125.142.128, 74.125.20.128, 74.125.197.128, ... Connecting to storage.googleapis.com (storage.googleapis.com)|74.125.142.128|:443... connected. HTTP request sent, awaiting response... 200 OK Length: 21675 (21K) [text/plain] Saving to: ‘ilsvrc2012_wordnet_lemmas.txt.1’ ilsvrc2012_wordnet_ 100%[===================>] 21.17K --.-KB/s in 0s 2021-06-20 16:44:59 (135 MB/s) - ‘ilsvrc2012_wordnet_lemmas.txt.1’ saved [21675/21675] [ ] # Get a random picture with the correct dimensions. resolution = 224 if model_name.startswith('Mixer') else 384 !wget https://picsum.photos/$resolution -O picsum.jpg import PIL img = PIL.Image.open('picsum.jpg') img [ ] # Predict on a batch with a single item (note very efficient TPU usage...) logits, = model.apply(dict(params=params), (np.array(img) / 128 - 1)[None, ...], train=False) [ ] preds = flax.nn.softmax(logits) for idx in preds.argsort()[:-11:-1]: print(f'{preds[idx]:.5f} : {imagenet_labels[idx]}', end='') 0.13330 : sandbar, sand_bar 0.09332 : seashore, coast, seacoast, sea-coast 0.05257 : jeep, landrover 0.05188 : Arabian_camel, dromedary, Camelus_dromedarius 0.01251 : horned_viper, cerastes, sand_viper, horned_asp, Cerastes_cornutus 0.00753 : tiger_beetle 0.00744 : dung_beetle 0.00711 : sidewinder, horned_rattlesnake, Crotalus_cerastes 0.00703 : leatherback_turtle, leatherback, leathery_turtle, Dermochelys_coriacea 0.00647 : pole 11511311411011111210810910710510610410310210110099989796959493 image_height = image['height'] image_width = image['width'] filename = image['file_name'] image_id = image['id'] full_path = os.path.join(image_dir, filename) with tf.io.gfile.GFile(full_path, 'rb') as fid: encoded_jpg = fid.read() encoded_jpg_io = io.BytesIO(encoded_jpg) image = PIL.Image.open(encoded_jpg_io) check 22 秒完成时间：15:29

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py

Python

Ago-Dic-2021/hernandez-saucedo-damian-rafael/calculadora/calculadora.py

AnhellO/DAS_Sistemas

07b4eca78357d02d225d570033d05748d91383e3

[ "MIT" ]

41

2017-09-26T09:36:32.000Z

2022-03-19T18:05:25.000Z

Ago-Dic-2021/hernandez-saucedo-damian-rafael/calculadora/calculadora.py

AnhellO/DAS_Sistemas

07b4eca78357d02d225d570033d05748d91383e3

[ "MIT" ]

67

2017-09-11T05:06:12.000Z

2022-02-14T04:44:04.000Z

Ago-Dic-2021/hernandez-saucedo-damian-rafael/calculadora/calculadora.py

AnhellO/DAS_Sistemas

07b4eca78357d02d225d570033d05748d91383e3

[ "MIT" ]

210

2017-09-01T00:10:08.000Z

2022-03-19T18:05:12.000Z

class Calculator: def __init__(self, a: int, b: int) -> None: self.a = a self.b = b def suma(self) -> int: return self.a + self.b def resta(self) -> int: return self.a - self.b def multi(self) -> int: return self.a * self.b def divicion(self): if self.b != 0: return self.a / self.b else: return "indeterminado" def potencia(self): return self.a ** self.b def raiz(self): if self.a < 0: cube_root = "indeterminado" else: if self.b > 0: cube_root = pow(self.a,1/self.b) else: cube_root = "indeterminado" return cube_root

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f275e47eff2f401f6bcd09f46a09d258c4e3aabc

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py

Python

Examples/motion_driver-5.1.3/motion_driver-5.1.3/simple_apps/msp430/motion-driver-client/motion-driver-client.py

lucyannofrota/Motion_Tracking

5a38e18f2b2261b408abb1e9adc59e53b0b71dae

[ "Apache-2.0" ]

null

Examples/motion_driver-5.1.3/motion_driver-5.1.3/simple_apps/msp430/motion-driver-client/motion-driver-client.py

lucyannofrota/Motion_Tracking

5a38e18f2b2261b408abb1e9adc59e53b0b71dae

[ "Apache-2.0" ]

null

Examples/motion_driver-5.1.3/motion_driver-5.1.3/simple_apps/msp430/motion-driver-client/motion-driver-client.py

lucyannofrota/Motion_Tracking

5a38e18f2b2261b408abb1e9adc59e53b0b71dae

[ "Apache-2.0" ]

null

#!/usr/bin/python # motion-driver-client.py # A PC application for use with Motion Driver. # Copyright 2012 InvenSense, Inc. All Rights Reserved. import serial, sys, time, string, pygame from ponycube import * # Sensor sensitivities ACCEL_SENS = 16384.0 GYRO_SENS = 16.375 QUAT_SENS = 1073741824.0 # Tap direction enums TAP_X_UP = 1 TAP_X_DOWN = 2 TAP_Y_UP = 3 TAP_Y_DOWN = 4 TAP_Z_UP = 5 TAP_Z_DOWN = 6 # Orientation bits ORIENTATION_X_UP = 0x01 ORIENTATION_X_DOWN = 0x02 ORIENTATION_Y_UP = 0x04 ORIENTATION_Y_DOWN = 0x08 ORIENTATION_Z_UP = 0x10 ORIENTATION_Z_DOWN = 0x20 ORIENTATION_FLIP = 0x40 ORIENTATION_ALL = 0x3F # Android orientation enums ANDROID_PORTRAIT = 0 ANDROID_LANDSCAPE = 1 ANDROID_R_PORTRAIT = 2 ANDROID_R_LANDSCAPE = 3 class motion_driver_packet_reader: def __init__(self, port, quat_delegate=None, debug_delegate=None, data_delegate=None ): self.s = serial.Serial(port,115200) self.s.setTimeout(0.1) self.s.setWriteTimeout(0.2) if quat_delegate: self.quat_delegate = quat_delegate else: self.quat_delegate = empty_packet_delegate() if debug_delegate: self.debug_delegate = debug_delegate else: self.debug_delegate = empty_packet_delegate() if data_delegate: self.data_delegate = data_delegate else: self.data_delegate = empty_packet_delegate() self.packets = [] self.length = 0 self.previous = None def read(self): NUM_BYTES = 23 MAX_PACKET_TYPES = 8 p = None if self.s.inWaiting(): c = self.s.read(1) if ord(c) == ord('$'): # Found the start of a valid packet (maybe). c = self.s.read(1) if ord(c) < MAX_PACKET_TYPES: d = None p = None if ord(c) == 0 or ord(c) == 1: rs = self.s.read(6) d = data_packet(ord(c),rs) elif ord(c) == 2: rs = self.s.read(16) p = quat_packet(rs) self.quat_delegate.dispatch(p) # Currently, we don't print quaternion data (it's really # meant for the cube display only. If you'd like to # change this behavior, uncomment the following line. # # d = data_packet(ord(c),rs) elif ord(c) == 3: rs = self.s.read(2) d = data_packet(ord(c),rs) elif ord(c) == 4: rs = self.s.read(1) d = data_packet(ord(c),rs) elif ord(c) == 5: rs = self.s.read(8) d = data_packet(ord(c),rs) elif ord(c) == 6: rs = self.s.read(4) d = data_packet(ord(c),rs) if d != None: self.data_delegate.dispatch(d) else: print "invalid packet type.." def write(self,a): self.s.write(a) def close(self): self.s.close() def write_log(self,fname): f = open(fname,'w') for p in self.packets: f.write(p.logfile_line()) f.close() # =========== PACKET DELEGATES ========== class packet_delegate(object): def loop(self,event): print "generic packet_delegate loop w/event",event def dispatch(self,p): print "generic packet_delegate dispatched",p class empty_packet_delegate(packet_delegate): def loop(self,event): pass def dispatch(self,p): pass class cube_packet_viewer (packet_delegate): def __init__(self): self.screen = Screen(480,400,scale=1.5) self.cube = Cube(30,60,10) self.q = Quaternion(1,0,0,0) self.previous = None # previous quaternion self.latest = None # latest packet (get in dispatch, use in loop) def loop(self,event): packet = self.latest if packet: q = packet.to_q().normalized() self.cube.erase(self.screen) self.cube.draw(self.screen,q) pygame.display.flip() self.latest = None def dispatch(self,p): if isinstance(p,quat_packet): self.latest = p class debug_packet_viewer (packet_delegate): def loop(self,event): pass def dispatch(self,p): assert isinstance(p,debug_packet); p.display() class data_packet_viewer (packet_delegate): def loop(self,event): pass def dispatch(self,p): assert isinstance(p,data_packet); p.display() # =============== PACKETS ================= # For 16-bit signed integers. def two_bytes(d1,d2): d = ord(d1)*256 + ord(d2) if d > 32767: d -= 65536 return d # For 32-bit signed integers. def four_bytes(d1, d2, d3, d4): d = ord(d1)*(1<<24) + ord(d2)*(1<<16) + ord(d3)*(1<<8) + ord(d4) if d > 2147483648: d-= 4294967296 return d class debug_packet (object): # body of packet is a debug string def __init__(self,l): sss = [] for c in l[3:21]: if ord(c) != 0: sss.append(c) self.s = "".join(sss) def display(self): sys.stdout.write(self.s) class data_packet (object): def __init__(self, type, l): self.data = [0,0,0,0] self.type = type if self.type == 0: # accel self.data[0] = two_bytes(l[0],l[1]) / ACCEL_SENS self.data[1] = two_bytes(l[2],l[3]) / ACCEL_SENS self.data[2] = two_bytes(l[4],l[5]) / ACCEL_SENS elif self.type == 1: # gyro self.data[0] = two_bytes(l[0],l[1]) / GYRO_SENS self.data[1] = two_bytes(l[2],l[3]) / GYRO_SENS self.data[2] = two_bytes(l[4],l[5]) / GYRO_SENS elif self.type == 2: # quaternion self.data[0] = four_bytes(l[0],l[1],l[2],l[3]) / QUAT_SENS self.data[1] = four_bytes(l[4],l[5],l[6],l[7]) / QUAT_SENS self.data[2] = four_bytes(l[8],l[9],l[10],l[11]) / QUAT_SENS self.data[3] = four_bytes(l[12],l[13],l[14],l[15]) / QUAT_SENS elif self.type == 3: # tap self.data[0] = ord(l[0]) self.data[1] = ord(l[1]) elif self.type == 4: # Android orient self.data[0] = ord(l[0]) elif self.type == 5: # pedometer self.data[0] = four_bytes(l[0],l[1],l[2],l[3]) self.data[1] = four_bytes(l[4],l[5],l[6],l[7]) elif self.type == 6: # misc self.data[0] = ord(l[0]) if self.data[0] == ord('t'): # test event self.data[1] = ord(l[1]) else: # unsupported pass def display(self): if self.type == 0: print 'accel: %7.3f %7.3f %7.3f' % \ (self.data[0], self.data[1], self.data[2]) elif self.type == 1: print 'gyro: %9.5f %9.5f %9.5f' % \ (self.data[0], self.data[1], self.data[2]) elif self.type == 2: print 'quat: %7.4f %7.4f %7.4f %7.4f' % \ (self.data[0], self.data[1], self.data[2], self.data[3]) elif self.type == 3: if self.data[0] == TAP_X_UP: s = "+ X" elif self.data[0] == TAP_X_DOWN: s = "- X" elif self.data[0] == TAP_Y_UP: s = "+ Y" elif self.data[0] == TAP_Y_DOWN: s = "- Y" elif self.data[0] == TAP_Z_UP: s = "+ Z" elif self.data[0] == TAP_Z_DOWN: s = "- Z" print 'Detected %s-axis tap x%d' % (s, self.data[1]) elif self.type == 4: if self.data[0] == ANDROID_PORTRAIT: s = "Portrait" elif self.data[0] == ANDROID_LANDSCAPE: s = "Landscape" elif self.data[0] == ANDROID_R_PORTRAIT: s = "Reverse portrait" elif self.data[0] == ANDROID_R_LANDSCAPE: s = "Reverse landscape" print 'Screen orientation: %s' % s elif self.type == 5: print 'Walked %d steps over %d milliseconds.' % \ (self.data[0], self.data[1]) elif self.type == 6: if self.data[0] == ord('t'): if self.data[1] == 7: print 'Self test passed.' else: print 'Self test failed.' pass else: print 'what?' class quat_packet (object): def __init__(self, l): self.l = l self.q0 = four_bytes(l[0],l[1],l[2],l[3]) / QUAT_SENS self.q1 = four_bytes(l[4],l[5],l[6],l[7]) / QUAT_SENS self.q2 = four_bytes(l[8],l[9],l[10],l[11]) / QUAT_SENS self.q3 = four_bytes(l[12],l[13],l[14],l[15]) / QUAT_SENS def display_raw(self): l = self.l print "".join( [ str(ord(l[0])), " "] + \ [ str(ord(l[1])), " "] + \ [ str(ord(a)).ljust(4) for a in [ l[2], l[3], l[4], l[5], l[6], l[7], l[8], l[9], l[10] ] ] + \ [ str(ord(a)).ljust(4) for a in [ l[8], l[9], l[10] , l[11], l[12], l[13]] ] ) def display(self): if 1: print "qs " + " ".join([str(s).ljust(15) for s in [ self.q0, self.q1, self.q2, self.q3 ]]) def to_q(self): return Quaternion(self.q0, self.q1, self.q2, self.q3) # =============== MAIN ====================== if __name__ == "__main__": if len(sys.argv) == 2: comport = int(sys.argv[1]) - 1 else: print "usage: " + sys.argv[0] + " port" sys.exit(-1) pygame.init() viewer = cube_packet_viewer() debug = debug_packet_viewer() data = data_packet_viewer() reader = motion_driver_packet_reader(comport, quat_delegate = viewer, debug_delegate = debug, data_delegate = data) while 1: event = pygame.event.poll() # TODO: Allow exit via keystroke. if event.type == pygame.QUIT: viewer.close() break if event.type == pygame.KEYDOWN: reader.write(pygame.key.name(event.key)) reader.read() viewer.loop(event) debug.loop(event) data.loop(event) # TODO: If system load is too high, increase this sleep time. pygame.time.delay(0)

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1

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4

f2a697b1d7c386a766a02a1c2651c6b9b6a06e4e

193

py

Python

_celery/__init__.py

bobruk76/E8

5baac811530075b7b0f1e6c7673b33d814675c75

[ "MIT" ]

null

_celery/__init__.py

bobruk76/E8

5baac811530075b7b0f1e6c7673b33d814675c75

[ "MIT" ]

null

_celery/__init__.py

bobruk76/E8

5baac811530075b7b0f1e6c7673b33d814675c75

[ "MIT" ]

null

import os nsq_host = str(os.environ.get("NSQ_HOST", "localhost")) nsq_port = int(os.environ.get("NSQ_PORT", 4151)) broker_host = str(os.environ.get("BROKER_HOST", 'redis://localhost:6379/0'))

32.166667

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null

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4b4627fc08967ff503dab6747cc5e43cca48d741

98

py

Python

request_vars/apps.py

kindlycat/django-request-vars

81290d309147274c9b2a9cf1953f5bdb6f69a5f0

[ "BSD-3-Clause" ]

1

2018-06-02T12:42:45.000Z

request_vars/apps.py

kindlycat/django-request-vars

81290d309147274c9b2a9cf1953f5bdb6f69a5f0

[ "BSD-3-Clause" ]

1

2020-04-15T23:56:53.000Z

request_vars/apps.py

kindlycat/django-request-vars

81290d309147274c9b2a9cf1953f5bdb6f69a5f0

[ "BSD-3-Clause" ]

null

from django.apps import AppConfig class RequestVarsConfig(AppConfig): name = 'request_vars'

16.333333

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null

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1

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4b7295a1ca79281d192eef8b41bb346239917812

60

py

Python

alpaca_handler/stream.py

benlevitas/alpaca_handler

e542e7acfce3d3aac0e2332cfdba4e25e4011214

[ "MIT" ]

1

2020-11-10T15:11:25.000Z

alpaca_handler/stream.py

benlevitas/alpaca_handler

e542e7acfce3d3aac0e2332cfdba4e25e4011214

[ "MIT" ]

1

2020-12-22T19:45:07.000Z

2020-12-23T08:23:32.000Z

alpaca_handler/stream.py

benlevitas/alpaca_handler

e542e7acfce3d3aac0e2332cfdba4e25e4011214

[ "MIT" ]

null

class Stream: def __init__(self, symbols): pass

15

32

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1

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0.3

60

3

33

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0.785714

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false

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null

0

1

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1

0

4

4b80e4a5371b70d83f78ac2a415b8e885ec9bc78

203

py

Python

lectures/cap-4/unification.py

luv-sic/composing-programs

27391ac844df045b865524f1936682a0872569b5

[ "MIT" ]

1

2021-11-27T08:53:01.000Z

lectures/cap-4/unification.py

luvsic3/composing-programs

27391ac844df045b865524f1936682a0872569b5

[ "MIT" ]

null

lectures/cap-4/unification.py

luvsic3/composing-programs

27391ac844df045b865524f1936682a0872569b5

[ "MIT" ]

null

18.454545

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4.913043

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203

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0.714286

0.901478

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

1

0

1

0

null

0

1

0

4

4b93b9d031ca09a648765f7546d1168c6b0788dc

550

py

Python

tests/test_common/test_utils/test_functional.py

tenkeyless/imagemodel

360c672117b5ccb1bfb3d6771b0720fa1a1f513c

[ "MIT" ]

null

tests/test_common/test_utils/test_functional.py

tenkeyless/imagemodel

360c672117b5ccb1bfb3d6771b0720fa1a1f513c

[ "MIT" ]

null

tests/test_common/test_utils/test_functional.py

tenkeyless/imagemodel

360c672117b5ccb1bfb3d6771b0720fa1a1f513c

[ "MIT" ]

null

from unittest import TestCase from imagemodel.common.utils.functional import compose, compose_left class FunctionalTest(TestCase): def testCompose(self): def f1(value: int): return value + 1 def f2(value: int): return value * 2 def f3(value: int): return value * 3 result = f1(1) result = f2(result) result = f3(result) self.assertEqual(compose(f3, f2, f1)(1), result) self.assertEqual(compose_left(f1, f2, f3)(1), compose(f3, f2, f1)(1))

23.913043

77

0.592727

70

550

4.628571

0.371429

0.074074

0.12963

0.175926

0.08642

0

0.056995

0.298182

550

22

78

25

0.782383

0

0.133333

1

0.266667

false

0

0.133333

0.2

0.666667

0

null

0

1

0

null

0

1

0

1

0

4

298aac27a5063b6ca971b67cb2d5a07f8ad62562

37

py

Python

python_base/day_5/test_package/demo.py

sven820/python

ddb13ffdab45bdb2c8ca8038cfa0c47f2502e554

[ "Apache-2.0" ]

null

python_base/day_5/test_package/demo.py

sven820/python

ddb13ffdab45bdb2c8ca8038cfa0c47f2502e554

[ "Apache-2.0" ]

null

python_base/day_5/test_package/demo.py

sven820/python

ddb13ffdab45bdb2c8ca8038cfa0c47f2502e554

[ "Apache-2.0" ]

null

__author__ = "JJ.sven" print('demo')

12.333333

22

0.675676

5

37

4.2

1

0

0.108108

37

3

23

12.333333

0.636364

0

0.289474

0

1

0

false

0

0.5

1

0

null

0

1

0

null

0

1

0

4

2990cc7c2af3c3f4bd9eca618083407a1ca09a6c

294

py

Python

madoka/utils/__init__.py

korepwx/madoka

56675bd8220935c6a9c1571a886a84bed235fd3b

[ "MIT" ]

null

madoka/utils/__init__.py

korepwx/madoka

56675bd8220935c6a9c1571a886a84bed235fd3b

[ "MIT" ]

null

madoka/utils/__init__.py

korepwx/madoka

56675bd8220935c6a9c1571a886a84bed235fd3b

[ "MIT" ]

null

# -*- coding: utf-8 -*- from . import datasets from .configattr import * from .configparser import * from .constant import * from .datatuple import * from .datautils import * from .misc import * from .pathlock import * from .tempdir import * from .tfsummary import * from .trainstore import *

21

27

0.727891

36

294

5.944444

0.444444

0.420561

0

0.004098

0.170068

294

13

28

22.615385

0.872951

0.071429

0

1

0

true

0

1

0

1

0

null

1

0

null

0

1

0

1

0

1

0

4

29ae4ab2dfe31c8b7a0f1fcdae0cc80b8ba8369e

94

py

Python

Code_examples/python/helloworld.py

bodacea/datasciencecodingfordevelopment

0a00546e6038adb9ee902776cbf96ff271c30fe3

[ "CC0-1.0" ]

5

2016-08-02T12:10:34.000Z

2021-04-07T19:33:51.000Z

Code_examples/python/helloworld.py

bodacea/datasciencefordevelopment

0a00546e6038adb9ee902776cbf96ff271c30fe3

[ "CC0-1.0" ]

1

2021-12-26T06:18:05.000Z

Code_examples/python/helloworld.py

bodacea/datasciencecodingfordevelopment

0a00546e6038adb9ee902776cbf96ff271c30fe3

[ "CC0-1.0" ]

1

2015-04-19T18:38:58.000Z

#!/usr/bin/python # -*- coding: utf-8 -*- #this is a comment print('Hello World!') #English

13.428571

30

0.617021

14

94

4.142857

1

0

0.012658

0.159574

94

6

31

15.666667

0.721519

0.659574

0

0.444444

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

4

29b6bc9a278004501dd61ece445369a6050a0ab1

106

py

Python

pyservices/store/tests/unit/test_crud.py

makkalot/eskit-example-microservice

5873ee27d1486ebb4617bf3026c2d983ff300a05

[ "BSD-2-Clause" ]

null

pyservices/store/tests/unit/test_crud.py

makkalot/eskit-example-microservice

5873ee27d1486ebb4617bf3026c2d983ff300a05

[ "BSD-2-Clause" ]

null

pyservices/store/tests/unit/test_crud.py

makkalot/eskit-example-microservice

5873ee27d1486ebb4617bf3026c2d983ff300a05

[ "BSD-2-Clause" ]

null

import unittest class TestCrud(unittest.TestCase): def test(self): print("Unit placeholder")

17.666667

34

0.698113

12

106

6.166667

0.916667

0

0.198113

106

6

35

17.666667

0.870588

0

0.149533

0

1

0.25

false

0

0.25

0

0.75

0.25

1

0

null

0

1

0

null

0

1

0

1

0

4

29d7c7ce70b05f37ecbdf25f768df6d7b782dd7f

630

py

Python

Config.py

6ixBit/Personal-Website

0f51563b06c1955775ba2ac4e78786cad21cdefa

[ "MIT" ]

null

Config.py

6ixBit/Personal-Website

0f51563b06c1955775ba2ac4e78786cad21cdefa

[ "MIT" ]

1

2021-06-02T00:29:28.000Z

Config.py

6ixBit/Personal-Website

0f51563b06c1955775ba2ac4e78786cad21cdefa

[ "MIT" ]

null

import os class Config(object): FLASK_ENV = os.environ.get('FLASK_ENV') or 'development' FLASK_APP = os.environ.get('FLASK_APP') or 'run.py' SECRET_KEY = os.environ.get('SECRET_KEY') SQLALCHEMY_DATABASE_URI = os.environ.get('DATABASE_URL') SQLALCHEMY_TRACK_MODIFICATIONS = False MAIL_PORT = os.environ.get('MAILGUN_SMTP_PORT') or 587 MAIL_USERNAME = os.environ.get('MAILGUN_SMTP_LOGIN') MAIL_PASSWORD = os.environ.get('MAILGUN_SMTP_PASSWORD') MAIL_SERVER = os.environ.get('MAILGUN_SMTP_SERVER') GIT_KEY = os.environ.get('GIT_KEY') REDIS_URL = os.environ.get('REDIS_URL')

30

60

0.712698

91

630

4.637363

0.373626

0.21327

0.28436

0.180095

0.218009

0

0.005682

0.161905

630

21

61

30

0.793561

0

0.234548

0.033281

0

1

0

false

0.076923

0

1

0

null

1

0

null

0

1

0

4

29ebbd9b5a7660e0a64e74f1beaf90b8ba4d2978

21

py

Python

env/lib/python3.9/site-packages/spline/tools/__init__.py

AdnanKhan27/nicstestbed

d3136e23fda8bd09706eb55d9a8c44ff0ad90730

[ "MIT" ]

30

2017-12-05T11:12:06.000Z

2021-11-06T18:27:58.000Z

env/lib/python3.9/site-packages/spline/tools/__init__.py

AdnanKhan27/nicstestbed

d3136e23fda8bd09706eb55d9a8c44ff0ad90730

[ "MIT" ]

112

2017-10-15T12:13:38.000Z

2021-01-12T22:29:58.000Z

engine/tools/__init__.py

Nachtfeuer/engine

c7d86877b84f648b229c8c958078b899ad9eeeaf

[ "MIT" ]

6

2018-08-12T17:01:52.000Z

2021-08-17T06:05:24.000Z

"""Package tools."""

10.5

20

0.571429

2

21

6

1

0

0.095238

21

1

21

0.631579

0.666667

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

null

0

1

0

4

29f0264f30b61a7afffbbb1a31e77795bab9496c

198

py

Python

src/tengi/command/handler_pool.py

luckybots/tengi

1eef42596fb59035a43d6e1fa7b2aa552b52dffc

[ "Apache-2.0" ]

2

2021-08-09T18:02:59.000Z

2022-01-15T15:11:02.000Z

src/tengi/command/handler_pool.py

luckybots/tengi

1eef42596fb59035a43d6e1fa7b2aa552b52dffc

[ "Apache-2.0" ]

null

src/tengi/command/handler_pool.py

luckybots/tengi

1eef42596fb59035a43d6e1fa7b2aa552b52dffc

[ "Apache-2.0" ]

null

from typing import List from tengi.command.command_handler import CommandHandler class CommandHandlerPool: def __init__(self, handlers: List[CommandHandler]): self.handlers = handlers

24.75

56

0.782828

22

198

6.818182

0.636364

0.16

0

0.156566

198

7

57

28.285714

0.898204

0

1

0.2

false

0

0.4

0

0.8

0

1

0

null

0

1

0

null

0

1

0

1

0

4

29f03766594c65365066ed4d9170e2c5e3343198

468

py

Python

item_engine/__init__.py

GabrielAmare/ItemEngine

10277626c3724ad9ae7b934f53e11e305dc34da5

[ "MIT" ]

null

item_engine/__init__.py

GabrielAmare/ItemEngine

10277626c3724ad9ae7b934f53e11e305dc34da5

[ "MIT" ]

null

item_engine/__init__.py

GabrielAmare/ItemEngine

10277626c3724ad9ae7b934f53e11e305dc34da5

[ "MIT" ]

null

""" item_engine : generic engine maker for parsing """ from .constants import * from .rules import * from .items import * from .elements import * #from .ParserConfig import ParserConfig from .build import * # Optional = Optional.make # Repeat = Repeat.make # All = All.make # Any = Any.make # BranchSet = BranchSet.make def include(group: Group) -> Match: return Match(group, INCLUDE) def exclude(group: Group) -> Match: return Match(group, EXCLUDE)

18

39

0.702991

59

468

5.559322

0.440678

0.121951

0.091463

0.128049

0.189024

0

0.185897

468

25

40

18.72

0.860892

0.410256

0

1

0.222222

false

0

0.555556

0.222222

1

0

null

0

null

0

1

0

1

0

4

29f33e1041c3c73c892a81854cffef29464c6286

30

py

Python

replacer/settings/__init__.py

FirinKinuo/plex-anime-replacer

71cda0f11ee69a9080e38c0ebb1018c919158c26

[ "MIT" ]

2

2022-01-26T20:55:58.000Z

2022-01-26T20:56:01.000Z

replacer/settings/__init__.py

FirinKinuo/plex-anime-replacer

71cda0f11ee69a9080e38c0ebb1018c919158c26

[ "MIT" ]

null

replacer/settings/__init__.py

FirinKinuo/plex-anime-replacer

71cda0f11ee69a9080e38c0ebb1018c919158c26

[ "MIT" ]

null

"""Project settings module"""

15

29

0.7

3

30

7

1

0

0.1

30

1

30

0.777778

0.766667

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

null

0

1

0

4

4b0d396f62a160a8d38d1ca9b1c67b6c5493c653

249

py

Python

profiles/schema/__init__.py

abdellatifLabr/MyStore

6a1db004d7372c236be72077aa55260927a46135

[ "MIT" ]

null

profiles/schema/__init__.py

abdellatifLabr/MyStore

6a1db004d7372c236be72077aa55260927a46135

[ "MIT" ]

null

profiles/schema/__init__.py

abdellatifLabr/MyStore

6a1db004d7372c236be72077aa55260927a46135

[ "MIT" ]

null

import graphene from .queries import ProfileQuery from .mutations import UpdateProfileMutation class Query( ProfileQuery, graphene.ObjectType ): pass class Mutation(graphene.ObjectType): update_profile = UpdateProfileMutation.Field()

19.153846

50

0.795181

24

249

8.208333

0.625

0.182741

0

0.144578

249

12

51

20.75

0.924883

0

1

0

false

0.111111

0.333333

0

0.666667

0

1

0

null

0

null

0

1

0

1

0

4

4b16854c5c57c755d2b377a316de2412cc38d048

829

py

Python

zork/data/attributes.py

Pyzyryab/Zork

ee48685996b7f6025e11e562ccbb59803670dc6e

[ "MIT" ]

null

zork/data/attributes.py

Pyzyryab/Zork

ee48685996b7f6025e11e562ccbb59803670dc6e

[ "MIT" ]

1

2022-02-02T20:37:33.000Z

zork/data/attributes.py

Pyzyryab/Zork

ee48685996b7f6025e11e562ccbb59803670dc6e

[ "MIT" ]

null

from dataclasses import dataclass """[summary] Classes for store constant data about the internal configuration (elected by design) of the program attributes and properties """ @dataclass class CompilerAttribute: """ Represents the structure of the compiler attribute """ identifier: str mandatory: bool properties: list @dataclass class LanguageAttribute: """ Represents the structure of the language property """ identifier: str mandatory: bool properties: list @dataclass class BuildAttribute: """ Represents the structure of the build property """ identifier: str mandatory: bool properties: list @dataclass class ExecutableAttribute: """ Holds the configuration for generate an executable """ identifier: str mandatory: bool properties: list

21.25641

69

0.720145

87

829

6.862069

0.494253

0.033501

0.147404

0.174204

0.500838

0.365159

0.298157

0.207705

0

0.214717

829

38

70

21.815789

0.917051

0.242461

0

0.761905

0

1

0

true

0

0.047619

0

0.809524

0

null

0

1

0

1

0

null

0

1

0

1

0

4

4b17c9b3c7cd755965512c58373ce8d298780a6c

193

py

Python

playing_with_nbdev/core.py

uberparagon/test_nbdev

450a3d706b15782e2bd2986a36efbe86ab13fcb2

[ "Apache-2.0" ]

null

playing_with_nbdev/core.py

uberparagon/test_nbdev

450a3d706b15782e2bd2986a36efbe86ab13fcb2

[ "Apache-2.0" ]

null

playing_with_nbdev/core.py

uberparagon/test_nbdev

450a3d706b15782e2bd2986a36efbe86ab13fcb2

[ "Apache-2.0" ]

null

# AUTOGENERATED! DO NOT EDIT! File to edit: 00_core.ipynb (unless otherwise specified). __all__ = ['square'] # Cell def square(x): """Returns the square of $x$, or $x^2$""" return x*x

24.125

87

0.65285

30

193

4.033333

0.766667

0

0.019231

0.19171

193

8

88

24.125

0.75641

0.658031

0

1

0

0.1

0

1

0.333333

false

0

0.666667

0

null

0

1

0

1

0

null

0

1

0

1

0

4

d9a6ca4b44d1ad3826b55b03d02cf177293b3eca

89

py

Python

fissix/tests/data/fixers/bad_order.py

orsinium/fissix-py35

48914fcb69842c9fe3c97652870c7610a2cc639b

[ "PSF-2.0" ]

32

2018-07-07T23:55:16.000Z

2022-01-31T03:47:51.000Z

fissix/tests/data/fixers/bad_order.py

orsinium/fissix-py35

48914fcb69842c9fe3c97652870c7610a2cc639b

[ "PSF-2.0" ]

35

2018-09-18T22:58:16.000Z

2021-11-13T23:28:21.000Z

fissix/tests/data/fixers/bad_order.py

orsinium/fissix-py35

48914fcb69842c9fe3c97652870c7610a2cc639b

[ "PSF-2.0" ]

18

2018-09-21T11:46:32.000Z

2021-11-26T18:08:37.000Z

from fissix.fixer_base import BaseFix class FixBadOrder(BaseFix): order = "crazy"

12.714286

37

0.741573

11

89

5.909091

0.909091

0

0.179775

89

6

38

14.833333

0.890411

0

0.05618

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

d9ab2a07fdfef571cbc12d449072878931bcf53a

684

bzl

Python

source/bazel/deps/tomlplusplus/get.bzl

luxe/CodeLang-compiler

78837d90bdd09c4b5aabbf0586a5d8f8f0c1e76a

[ "MIT" ]

1

2019-01-06T08:45:46.000Z

source/bazel/deps/tomlplusplus/get.bzl

luxe/CodeLang-compiler

78837d90bdd09c4b5aabbf0586a5d8f8f0c1e76a

[ "MIT" ]

264

2015-11-30T08:34:00.000Z

2018-06-26T02:28:41.000Z

source/bazel/deps/tomlplusplus/get.bzl

UniLang/compiler

c338ee92994600af801033a37dfb2f1a0c9ca897

[ "MIT" ]

null

# Do not edit this file directly. # It was auto-generated by: code/programs/reflexivity/reflexive_refresh load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive") load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_file") def tomlplusplus(): http_archive( name = "tomlplusplus", build_file = "//bazel/deps/tomlplusplus:build.BUILD", sha256 = "a522eaa80a33d8c457a0b9cb3509f2e7c7a61d8e102f3c14696d5a7606a4e874", strip_prefix = "tomlplusplus-983e22978e8792f6248695047ad7cb892c112e18", urls = [ "https://github.com/Unilang/tomlplusplus/archive/983e22978e8792f6248695047ad7cb892c112e18.tar.gz", ], )

40.235294

110

0.723684

67

684

7.238806

0.61194

0.037113

0.057732

0.078351

0.17732

0

0.184028

0.157895

684

16

111

42.75

0.657986

0.147661

0

1

0

0.637931

0.417241

0

1

0.083333

true

0

0.083333

0

null

0

1

0

1

null

0

1

0

4

d9ba2ddb5ddb3bd724eb5a8e4cbfe428e2191af2

315

py

Python

forms.py

glts/django-progress

b3f9bd653a5f8cb112168c2d51043a9a2a3f1291

[ "MIT" ]

1

2019-06-19T00:25:23.000Z

forms.py

glts/django-progress

b3f9bd653a5f8cb112168c2d51043a9a2a3f1291

[ "MIT" ]

null

forms.py

glts/django-progress

b3f9bd653a5f8cb112168c2d51043a9a2a3f1291

[ "MIT" ]

null

from django.forms.models import modelform_factory from .models import Task, Challenge, Routine TaskForm = modelform_factory(Task, fields=('name', 'description')) ChallengeForm = modelform_factory(Challenge, fields=('name', 'description')) RoutineForm = modelform_factory(Routine, fields=('name', 'description'))

35

76

0.780952

34

315

7.117647

0.470588

0.264463

0.260331

0

0.088889

315

8

77

39.375

0.843206

0

0.142857

0

1

0

false

0

0.4

0

0.4

0

null

1

0

1

0

null

0

1

0

4

d9c198fe3c1657602e2bd99b6661c55d412701fa

474

py

Python

fastreid/modeling/backbones/__init__.py

xiaomingzhid/SSKD

806d6db5c5dea4e018e49ee30d7bfc7b95977ffe

[ "Apache-2.0" ]

19

2021-09-10T02:16:29.000Z

2022-03-27T12:47:46.000Z

fastreid/modeling/backbones/__init__.py

liuwuhomepage/sskd

806d6db5c5dea4e018e49ee30d7bfc7b95977ffe

[ "Apache-2.0" ]

5

2021-09-27T03:52:12.000Z

2021-12-29T09:13:40.000Z

fastreid/modeling/backbones/__init__.py

liuwuhomepage/sskd

806d6db5c5dea4e018e49ee30d7bfc7b95977ffe

[ "Apache-2.0" ]

3

2021-12-23T16:44:44.000Z

2022-03-27T12:47:47.000Z

# encoding: utf-8 """ @author: liaoxingyu @contact: sherlockliao01@gmail.com """ from .build import build_backbone, BACKBONE_REGISTRY from .resnet import build_resnet_backbone from .osnet import build_osnet_backbone from .resnest import build_resnest_backbone from .resnext import build_resnext_backbone from .regnet import build_regnet_backbone, build_effnet_backbone from .shufflenet import build_shufflenetv2_backbone from .vision_transformer import build_vit_backbone

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d9de02d0d573b0519261702e0661d48749b69c51

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py

Python

python/apsis/service/__init__.py

alexhsamuel/apsis

7a038a39e5002637b60f73147728b4cc53692da3

[ "BSD-3-Clause" ]

1

2021-06-03T15:35:31.000Z

python/apsis/service/__init__.py

alexhsamuel/apsis

7a038a39e5002637b60f73147728b4cc53692da3

[ "BSD-3-Clause" ]

93

2018-08-17T20:32:09.000Z

2022-03-23T17:34:37.000Z

python/apsis/service/__init__.py

alexhsamuel/apsis

7a038a39e5002637b60f73147728b4cc53692da3

[ "BSD-3-Clause" ]

null

DEFAULT_PORT = 5000

10

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1

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null

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4

d9e674f4dbf7e1588367cb298f191585aeb7cde9

206

py

Python

src/organizations/serializers.py

earth-emoji/citizens4

eb5f5b0191f7c8690037c9adac07eb4affb40de4

[ "MIT" ]

null

src/organizations/serializers.py

earth-emoji/citizens4

eb5f5b0191f7c8690037c9adac07eb4affb40de4

[ "MIT" ]

10

2020-02-12T00:46:48.000Z

2022-03-11T23:51:27.000Z

src/organizations/serializers.py

earth-emoji/citizens4

eb5f5b0191f7c8690037c9adac07eb4affb40de4

[ "MIT" ]

null

from rest_framework import serializers from .models import Organization class OrganizationSerializer(serializers.ModelSerializer): class Meta: model = Organization fields = '__all__'

20.6

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0.752427

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206

7.894737

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9

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null

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1

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4

d9ecd5471aa4a7a917ba61bc2a3dd3edf236dd27

1,470

py

Python

6 - template method & bridge/trading-after.py

mickeybeurskens/betterpython

1b095061b4c11bba39ba4723a23bce495b5ea06a

[ "MIT" ]

523

2021-02-22T09:44:36.000Z

2022-03-30T06:20:23.000Z

6 - template method & bridge/trading-after.py

mickeybeurskens/betterpython

1b095061b4c11bba39ba4723a23bce495b5ea06a

[ "MIT" ]

5

2021-03-03T14:54:41.000Z

2021-12-24T15:58:40.000Z

6 - template method & bridge/trading-after.py

mickeybeurskens/betterpython

1b095061b4c11bba39ba4723a23bce495b5ea06a

[ "MIT" ]

146

2021-03-12T23:10:38.000Z

2022-03-30T11:30:16.000Z

from abc import ABC, abstractmethod from typing import List class TradingBot(ABC): def connect(self): print(f"Connecting to Crypto exchange...") def get_market_data(self, coin: str) -> List[float]: return [10, 12, 18, 14] def check_prices(self, coin: str): self.connect() prices = self.get_market_data(coin) should_buy = self.should_buy(prices) should_sell = self.should_sell(prices) if should_buy: print(f"You should buy {coin}!") elif should_sell: print(f"You should sell {coin}!") else: print(f"No action needed for {coin}.") @abstractmethod def should_buy(self, prices: List[float]) -> bool: pass @abstractmethod def should_sell(self, prices: List[float]) -> bool: pass class AverageTrader(TradingBot): def list_average(self, l: List[float]) -> float: return sum(l) / len(l) def should_buy(self, prices: List[float]) -> bool: return prices[-1] < self.list_average(prices) def should_sell(self, prices: List[float]) -> bool: return prices[-1] > self.list_average(prices) class MinMaxTrader(TradingBot): def should_buy(self, prices: List[float]) -> bool: return prices[-1] == min(prices) def should_sell(self, prices: List[float]) -> bool: return prices[-1] == max(prices) application = MinMaxTrader() application.check_prices("BTC/USD")

27.735849

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0.626531

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1,470

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0.08

0.093333

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1,470

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null

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null

0

1

0

1

0

1

0

4

8a023954c7833ea528861163b01e8a0cb7cdfc7e

242

py

Python

run.py

breadada/mieSys

4f89c870473b6f0c28bce7a23ed9df393fae2907

[ "Apache-2.0" ]

51

2016-07-07T03:11:29.000Z

2021-04-21T12:44:05.000Z

run.py

breadada/mieSys

4f89c870473b6f0c28bce7a23ed9df393fae2907

[ "Apache-2.0" ]

1

2016-11-21T04:00:35.000Z

2019-06-03T15:23:26.000Z

run.py

breadada/mieSys

4f89c870473b6f0c28bce7a23ed9df393fae2907

[ "Apache-2.0" ]

27

2016-07-15T05:11:33.000Z

2021-01-08T08:23:03.000Z

import os import behaviroal_targeting import ctr import time def main(): while True: behaviroal_targeting.main() ctr.main() print "UPDATE." time.sleep(2) if __name__ == "__main__": main()

17.285714

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242

4.925926

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0

0.006024

0.31405

242

14

37

17.285714

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null

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0.333333

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0.083333

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null

1

0

null

0

1

0

1

0

4

8a1cae16f1ed17d3681c3bea61f5acb9242e12c3

31

py

Python

homeassistant/components/automatic/__init__.py

itewk/home-assistant

769cf19052f8c9ef374d8ba8ae7705ccc7bf4cf4

[ "Apache-2.0" ]

23

2017-11-15T21:03:53.000Z

2021-03-29T21:33:48.000Z

homeassistant/components/automatic/__init__.py

itewk/home-assistant

769cf19052f8c9ef374d8ba8ae7705ccc7bf4cf4

[ "Apache-2.0" ]

39

2016-12-16T12:40:34.000Z

2017-02-13T17:53:42.000Z

homeassistant/components/automatic/__init__.py

itewk/home-assistant

769cf19052f8c9ef374d8ba8ae7705ccc7bf4cf4

[ "Apache-2.0" ]

10

2018-01-01T00:12:51.000Z

2021-12-21T23:08:05.000Z

"""The automatic component."""

15.5

30

0.677419

3

31

7

1

0

0.096774

31

1

31

0.75

0.774194

0

null

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true

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null

1

0

null

0

1

0

null

0

1

0

4

8a235ee7d859ead8ed766e57eda501571ad99581

795

py

Python

setup.py

williamfzc/pycallback

bc927676a40b77b781b7388a75f6a22ee87df6c6

[ "MIT" ]

1

2020-11-13T14:06:33.000Z

setup.py

williamfzc/pycallback

bc927676a40b77b781b7388a75f6a22ee87df6c6

[ "MIT" ]

null

setup.py

williamfzc/pycallback

bc927676a40b77b781b7388a75f6a22ee87df6c6

[ "MIT" ]

1

2020-11-13T14:06:38.000Z

from setuptools import setup, find_packages from pycallback import ( __AUTHOR__, __AUTHOR_EMAIL__, __URL__, __LICENSE__, __VERSION__, __PROJECT_NAME__, __DESCRIPTION__, ) setup( name=__PROJECT_NAME__, version=__VERSION__, description=__DESCRIPTION__, author=__AUTHOR__, author_email=__AUTHOR_EMAIL__, url=__URL__, packages=find_packages(), include_package_data=True, license=__LICENSE__, classifiers=[ "License :: OSI Approved :: MIT License", "Programming Language :: Python", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7", "Programming Language :: Python :: 3.8", ], python_requires=">=3.6", )

24.84375

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795

6.026667

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0.210177

0.276549

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0.240252

795

31

50

25.645161

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true

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0

null

1

0

null

0

1

0

4

8a2be00f66b19525bf3c5d02d1e92ba40fe17d36

369

py

Python

main.py

juliusml/building_ai_project

27fe70b4fc8b51a6de03d8d4f43283056c6fc696

[ "CC-BY-2.0" ]

null

main.py

juliusml/building_ai_project

27fe70b4fc8b51a6de03d8d4f43283056c6fc696

[ "CC-BY-2.0" ]

null

main.py

juliusml/building_ai_project

27fe70b4fc8b51a6de03d8d4f43283056c6fc696

[ "CC-BY-2.0" ]

null

# Early experimentation from transvec.transformers import TranslationWordVectorizer as TWV import gensim.downloader as gsd def model_import(): """Imports all needed models.""" # "load" only downloads it if it isn't already on the PC locally #en_model = gsd.load('en§§') #se_model = gsd.load('se§§') #en_se_model = TWV(en_model, se_model).fit(train)

30.75

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369

4.660714

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0.091954

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0.168022

369

12

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null

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1

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0

4

8a3453cf5dd6bced1ef72c202cec1e16780557c9

4,077

py

Python

cfgov/v1/migrations/0202_add_research_hub_filterable_page.py

Colin-Seifer/consumerfinance.gov

a1a943f7170b498707d642d6be97b9a97a2b52e3

[ "CC0-1.0" ]

156

2015-01-16T15:16:46.000Z

2020-08-04T04:48:01.000Z

cfgov/v1/migrations/0202_add_research_hub_filterable_page.py

Colin-Seifer/consumerfinance.gov

a1a943f7170b498707d642d6be97b9a97a2b52e3

[ "CC0-1.0" ]

3,604

2015-01-05T22:09:12.000Z

2020-08-14T17:09:19.000Z

cfgov/v1/migrations/0202_add_research_hub_filterable_page.py

Colin-Seifer/consumerfinance.gov

a1a943f7170b498707d642d6be97b9a97a2b52e3

[ "CC0-1.0" ]

102

2015-01-28T14:51:18.000Z

2020-08-10T00:00:39.000Z

# Generated by Django 3.2.13 on 2022-04-19 16:09 from django.db import migrations, models import django.db.models.deletion import v1.models.filterable_list_mixins class Migration(migrations.Migration): dependencies = [ ('v1', '0201_remove_well_with_ask_search'), ] operations = [ migrations.CreateModel( name='ResearchHubPage', fields=[ ('sublandingfilterablepage_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='v1.sublandingfilterablepage')), ], options={ 'abstract': False, }, bases=(v1.models.filterable_list_mixins.CategoryFilterableMixin, 'v1.sublandingfilterablepage'), ), migrations.AlterField( model_name='cfgovpagecategory', name='name', field=models.CharField(choices=[('Administrative adjudication docket', (('administrative-adjudication', 'Administrative adjudication'), ('stipulation-and-constent-order', 'Stipulation and consent order'))), ('Amicus Brief', (('us-supreme-court', 'U.S. Supreme Court'), ('fed-circuit-court', 'Federal Circuit Court'), ('fed-district-court', 'Federal District Court'), ('state-court', 'State Court'))), ('Blog', (('at-the-cfpb', 'At the CFPB'), ('directors-notebook', "Director's notebook"), ('policy_compliance', 'Policy and compliance'), ('data-research-reports', 'Data, research, and reports'), ('info-for-consumers', 'Info for consumers'))), ('Consumer Reporting Companies', (('nationwide', 'Nationwide'), ('employment-screening', 'Employment screening'), ('tenant-screening', 'Tenant screening'), ('check-bank-screening', 'Check and bank screening'), ('personal-property-insurance', 'Personal property insurance'), ('medical', 'Medical'), ('low-income-and-subprime', 'Low-income and subprime'), ('supplementary-reports', 'Supplementary reports'), ('utilities', 'Utilities'), ('retail', 'Retail'), ('gaming', 'Gaming'))), ('Enforcement Action', (('administrative-proceeding', 'Administrative Proceeding'), ('civil-action', 'Civil Action'))), ('Final rule', (('interim-final-rule', 'Interim final rule'), ('final-rule', 'Final rule'))), ('FOIA Frequently Requested Record', (('report', 'Report'), ('log', 'Log'), ('record', 'Record'))), ('Newsroom', (('consumer-advisories', 'Consumer advisories'), ('directors-statement', "Director's statement"), ('op-ed', 'Op-ed'), ('press-release', 'Press release'), ('speech', 'Speech'), ('testimony', 'Testimony'))), ('Notice and Opportunity for Comment', (('notice-proposed-rule', 'Advance notice of proposed rulemaking'), ('proposed-rule', 'Proposed rule'), ('interim-final-rule-2', 'Interim final rule'), ('request-comment-info', 'Request for comment or information'), ('proposed-policy', 'Proposed policy'), ('intent-preempt-determ', 'Intent to make preemption determination'), ('info-collect-activity', 'Information collection activities'), ('notice-privacy-act', 'Notice related to Privacy Act'))), ('Research Hub', (('data-point', 'Data point'), ('industry-markets', 'Industry and markets'))), ('Research Report', (('consumer-complaint', 'Consumer complaint'), ('super-highlight', 'Supervisory Highlights'), ('data-point', 'Data point'), ('industry-markets', 'Industry and markets'), ('consumer-edu-empower', 'Consumer education and empowerment'), ('to-congress', 'To Congress'), ('data-spotlight', 'Data spotlight'))), ('Rule Under Development', (('notice-proposed-rule-2', 'Advance notice of proposed rulemaking'), ('proposed-rule-2', 'Proposed rule'))), ('Story', (('auto-loans', 'Auto loans'), ('bank-accts-services', 'Bank accounts and services'), ('credit-cards', 'Credit cards'), ('credit-reports-scores', 'Credit reports and scores'), ('debt-collection', 'Debt collection'), ('money-transfers', 'Money transfers'), ('mortgages', 'Mortgages'), ('payday-loans', 'Payday loans'), ('prepaid-cards', 'Prepaid cards'), ('student-loans', 'Student loans')))], max_length=255), ), ]

131.516129

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1

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null

0

4

8a379ade02a88906b755e4acf0368207448ef34f

53

py

Python

spruned/application/networks/__init__.py

darosior/spruned

558b93f32ee24c01255ef34cdaa59491caa08049

[ "MIT" ]

152

2018-03-03T20:49:37.000Z

2021-03-07T07:32:44.000Z

spruned/application/networks/__init__.py

darosior/spruned

558b93f32ee24c01255ef34cdaa59491caa08049

[ "MIT" ]

106

2018-02-11T22:30:05.000Z

2021-05-17T21:47:03.000Z

spruned/application/networks/__init__.py

darosior/spruned

558b93f32ee24c01255ef34cdaa59491caa08049

[ "MIT" ]

26

2018-04-12T18:07:10.000Z

2021-05-09T22:41:54.000Z

from . import bitcoin as _bitcoin bitcoin = _bitcoin

17.666667

33

0.792453

7

53

5.714286

0.571429

0.7

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0.169811

53

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null

0

1

0

4

8a42d6b4c6e318ef3cd8c03c7d8c1f76acb3992c

205

py

Python

pysster/__init__.py

stella-gao/pysster

43b20f311303859ed3cddf9b78035b4ce456584e

[ "MIT" ]

null

pysster/__init__.py

stella-gao/pysster

43b20f311303859ed3cddf9b78035b4ce456584e

[ "MIT" ]

null

pysster/__init__.py

stella-gao/pysster

43b20f311303859ed3cddf9b78035b4ce456584e

[ "MIT" ]

1

2018-09-03T20:49:05.000Z

from .Model import * from .Data import * from .Grid_Search import * from .utils import * from .Alphabet_Encoder import * from .Motif import * from .One_Hot_Encoder import * __version__ = '1.1.2'

20.5

32

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4.724138

0.517241

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10

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null

0

1

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4

8a4730786db3269957d06a604a155c0c1a4e4eb6

7,706

py

Python

tests/permifrost/core/permissions/test_snowflake_spec_loader.py

cmccann020/permifrost_test

ce3f822d5966f90f8d3caaffc4b4b1122cee4b85

[ "MIT" ]

null

tests/permifrost/core/permissions/test_snowflake_spec_loader.py

cmccann020/permifrost_test

ce3f822d5966f90f8d3caaffc4b4b1122cee4b85

[ "MIT" ]

null

tests/permifrost/core/permissions/test_snowflake_spec_loader.py

cmccann020/permifrost_test

ce3f822d5966f90f8d3caaffc4b4b1122cee4b85

[ "MIT" ]

1

2020-11-04T05:50:14.000Z

import pytest import os from permifrost.core.permissions import SpecLoadingError from permifrost.core.permissions.snowflake_spec_loader import SnowflakeSpecLoader from permifrost_test_utils.snowflake_schema_builder import SnowflakeSchemaBuilder from permifrost_test_utils.snowflake_connector import MockSnowflakeConnector @pytest.fixture def test_dir(request): return request.fspath.dirname @pytest.fixture def mock_connector(): return MockSnowflakeConnector() class TestSnowflakeSpecLoader: def test_check_entities_on_snowflake_server_no_warehouses( self, test_dir, mocker, mock_connector ): mocker.patch.object(mock_connector, "show_warehouses") SnowflakeSpecLoader( os.path.join(test_dir, "specs", "snowflake_spec_blank.yml"), mock_connector ) mock_connector.show_warehouses.assert_not_called() def test_check_entities_on_snowflake_server_no_databases( self, test_dir, mocker, mock_connector ): mocker.patch.object(mock_connector, "show_databases") SnowflakeSpecLoader( os.path.join(test_dir, "specs", "snowflake_spec_blank.yml"), mock_connector ) mock_connector.show_databases.assert_not_called() def test_check_entities_on_snowflake_server_no_schemas( self, test_dir, mocker, mock_connector ): mocker.patch.object(mock_connector, "show_schemas") SnowflakeSpecLoader( os.path.join(test_dir, "specs", "snowflake_spec_blank.yml"), mock_connector ) mock_connector.show_schemas.assert_not_called() def test_check_entities_on_snowflake_server_no_tables( self, test_dir, mocker, mock_connector ): mocker.patch.object(mock_connector, "show_tables") mocker.patch.object(mock_connector, "show_views") SnowflakeSpecLoader( os.path.join(test_dir, "specs", "snowflake_spec_blank.yml"), mock_connector ) mock_connector.show_tables.assert_not_called() mock_connector.show_views.assert_not_called() def test_check_entities_on_snowflake_server_no_roles( self, test_dir, mocker, mock_connector ): mocker.patch.object(mock_connector, "show_roles") SnowflakeSpecLoader( os.path.join(test_dir, "specs", "snowflake_spec_blank.yml"), mock_connector ) mock_connector.show_roles.assert_not_called() def test_check_entities_on_snowflake_server_no_users( self, test_dir, mocker, mock_connector ): mocker.patch.object(mock_connector, "show_users") SnowflakeSpecLoader( os.path.join(test_dir, "specs", "snowflake_spec_blank.yml"), mock_connector ) mock_connector.show_users.assert_not_called() def test_check_permissions_on_snowflake_server_as_securityadmin( self, test_dir, mocker, mock_connector ): mocker.patch.object( MockSnowflakeConnector, "get_current_role", return_value="securityadmin" ) SnowflakeSpecLoader( os.path.join(test_dir, "specs", "snowflake_spec_blank.yml"), mock_connector ) mock_connector.get_current_role.assert_called() def test_check_permissions_on_snowflake_server_not_as_securityadmin( self, test_dir, mocker, mock_connector ): mocker.patch.object( MockSnowflakeConnector, "get_current_role", return_value="notsecurityadmin" ) with pytest.raises(SpecLoadingError) as context: SnowflakeSpecLoader( os.path.join(test_dir, "specs", "snowflake_spec_blank.yml"), mock_connector, ) mock_connector.get_current_role.assert_called() def test_check_permissions_on_snowflake_server_gets_current_user_info( self, test_dir, mocker, mock_connector ): mocker.patch.object(mock_connector, "get_current_user") SnowflakeSpecLoader( os.path.join(test_dir, "specs", "snowflake_spec_blank.yml"), mock_connector ) mock_connector.get_current_user.assert_called() def test_load_spec_loads_file(self, mocker, mock_connector): mock_open = mocker.patch( "builtins.open", mocker.mock_open(read_data="""version: "1.0" """) ) filepath = "filepath to open" SnowflakeSpecLoader(filepath, mock_connector) mock_open.assert_called_once_with(filepath, "r") @pytest.mark.parametrize( "spec_file_data,method,return_value", [ ( SnowflakeSchemaBuilder().add_db(owner="user").build(), "show_databases", ["testdb"], ), ( SnowflakeSchemaBuilder().add_role(owner="user").build(), "show_roles", ["testrole"], ), ( SnowflakeSchemaBuilder().add_user(owner="user").build(), "show_users", ["testusername"], ), ( SnowflakeSchemaBuilder().add_warehouse(owner="user").build(), "show_warehouses", ["testwarehouse"], ), ( SnowflakeSchemaBuilder().require_owner().add_db(owner="user").build(), "show_databases", ["testdb"], ), ( SnowflakeSchemaBuilder().require_owner().add_role(owner="user").build(), "show_roles", ["testrole"], ), ( SnowflakeSchemaBuilder().require_owner().add_user(owner="user").build(), "show_users", ["testusername"], ), ( SnowflakeSchemaBuilder() .require_owner() .add_warehouse(owner="user") .build(), "show_warehouses", ["testwarehouse"], ), ], ) def test_load_spec_with_owner( self, spec_file_data, method, return_value, mocker, mock_connector ): print("Spec file is: ") print(spec_file_data) mocker.patch("builtins.open", mocker.mock_open(read_data=spec_file_data)) mocker.patch.object(mock_connector, method, return_value=return_value) SnowflakeSpecLoader("", mock_connector) @pytest.mark.parametrize( "spec_file_data,method,return_value", [ ( SnowflakeSchemaBuilder().require_owner().add_db().build(), "show_databases", ["testdb"], ), ( SnowflakeSchemaBuilder().require_owner().add_role().build(), "show_roles", ["testrole"], ), ( SnowflakeSchemaBuilder().require_owner().add_user().build(), "show_users", ["testusername"], ), ( SnowflakeSchemaBuilder().require_owner().add_warehouse().build(), "show_warehouses", ["testwarehouse"], ), ], ) def test_load_spec_owner_required_with_no_owner( self, spec_file_data, method, return_value, mocker, mock_connector ): print("Spec file is: ") print(spec_file_data) mocker.patch("builtins.open", mocker.mock_open(read_data=spec_file_data)) mocker.patch.object(mock_connector, method, return_value=return_value) with pytest.raises(SpecLoadingError) as context: SnowflakeSpecLoader("", mock_connector) assert "Spec Error: Owner not defined" in str(context.value)

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8a4d2daba468886781f97dcfd97a4011c90b52d2

186

py

Python

server/recipients/apps.py

tombushmitz86/vims

1dcf1bf655ef8e33092f8e3e4cfbd11e11239e3e

[ "MIT" ]

null

server/recipients/apps.py

tombushmitz86/vims

1dcf1bf655ef8e33092f8e3e4cfbd11e11239e3e

[ "MIT" ]

null

server/recipients/apps.py

tombushmitz86/vims

1dcf1bf655ef8e33092f8e3e4cfbd11e11239e3e

[ "MIT" ]

null

from django.apps import AppConfig from django.utils.translation import ugettext_lazy as _ class RecipientsConfig(AppConfig): name = 'recipients' verbose_name = _('Recipients')

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8a515eef84a11584606de17b937dc26b661d3854

373

py

Python

Lektion_3/5_Kivy_Style/5_Kivy_Style.py

tvotan/dhbw_python_kivy

41d363d41a79e1881128be54dc30b5d0c58afb70

[ "MIT" ]

1

2020-10-27T15:27:06.000Z

Lektion_3/5_Kivy_Style/5_Kivy_Style.py

tvotan/dhbw_python_kivy

41d363d41a79e1881128be54dc30b5d0c58afb70

[ "MIT" ]

null

Lektion_3/5_Kivy_Style/5_Kivy_Style.py

tvotan/dhbw_python_kivy

41d363d41a79e1881128be54dc30b5d0c58afb70

[ "MIT" ]

null

import kivy from kivy.app import App from kivy.uix.label import Label from kivy.uix.gridlayout import GridLayout from kivy.uix.textinput import TextInput from kivy.uix.button import Button from kivy.uix.widget import Widget class MyGrid(Widget): pass class Five_App(App): def build(self): return MyGrid() if __name__ == "__main__": Five_App().run()

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8a8e72faa1fb599a7bbbf76772927f97d13f04f0

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py

Python

01_Data_Types_And_Variables/04_long_lists.py

DetainedDeveloper/Pimp-My-Python

8c0749013581bebd65b3df67f92605c4ecd8e685

[ "MIT" ]

1

2021-07-01T10:54:45.000Z

01_Data_Types_And_Variables/04_long_lists.py

DetainedDeveloper/Pimp-My-Python

8c0749013581bebd65b3df67f92605c4ecd8e685

[ "MIT" ]

null

01_Data_Types_And_Variables/04_long_lists.py

DetainedDeveloper/Pimp-My-Python

8c0749013581bebd65b3df67f92605c4ecd8e685

[ "MIT" ]

null

# print([3, 3.14159, "hi", True, [1, 2, 3]]) # print(type([3, 3.14159, "hi", True, [1, 2, 3]])) # START # my_list = list() # print(my_list) # my_list.append(3) # my_list.append(3.14159) # my_list.append(True) # my_list.append([1, 2, 3]) # print(my_list) # my_list.remove(3) # print(my_list) # my_list.remove("Jay") # print(my_list) # my_list.pop() # print(my_list) # END # START # my_list = [3, 4, 2, 67, 1] # my_list.sort() # print(my_list) # END # START # my_list = ["X", "M", "Z", "L", "I"] # my_list.sort() # print(my_list) # END # START # my_list = [[6, 8, 5], [2, 1, 4, 3]] # my_list[0].sort() # my_list[1].sort() # my_list.sort() # print(my_list) # END # START # my_list = ["Jim", "Bob", "Alice", "John", "David", "Tim"] # print(len(my_list)) # print(my_list[0]) # print(my_list[3]) # print(my_list[-3]) # print(my_list[2:]) # print(my_list[:2]) # print(my_list[-2:]) # print(my_list[:-2]) # print(my_list[2:4]) # print(my_list[-2:-4]) # print(my_list[4:2]) # print(my_list[-4:-2]) # my_list[3] = "Jay" # print(my_list) # END

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8a90059b9d3c9cc33cfb0bea7deffb0bdebd907f

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py

Python

tech_project/lib/python2.7/site-packages/formtools/models.py

priyamshah112/Project-Descripton-Blog

8e01016c6be79776c4f5ca75563fa3daa839e39e

[ "MIT" ]

331

2015-01-09T01:25:47.000Z

2019-10-01T01:18:13.000Z

tech_project/lib/python2.7/site-packages/formtools/models.py

priyamshah112/Project-Descripton-Blog

8e01016c6be79776c4f5ca75563fa3daa839e39e

[ "MIT" ]

97

2015-01-07T11:33:19.000Z

2019-09-29T16:41:56.000Z

tech_project/lib/python2.7/site-packages/formtools/models.py

priyamshah112/Project-Descripton-Blog

8e01016c6be79776c4f5ca75563fa3daa839e39e

[ "MIT" ]

99

2015-01-20T13:17:28.000Z

2019-09-29T02:26:30.000Z

# This file is required to pretend formtools has models. # Otherwise test models cannot be registered.

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8a98356ef32662fbf31380cc09c16cd9f1f42eb8

66

py

Python

pkgs/ops-pkg/src/genie/libs/ops/fdb/fdb.py

miott/genielibs

6464642cdd67aa2367bdbb12561af4bb060e5e62

[ "Apache-2.0" ]

null

pkgs/ops-pkg/src/genie/libs/ops/fdb/fdb.py

miott/genielibs

6464642cdd67aa2367bdbb12561af4bb060e5e62

[ "Apache-2.0" ]

null

pkgs/ops-pkg/src/genie/libs/ops/fdb/fdb.py

miott/genielibs

6464642cdd67aa2367bdbb12561af4bb060e5e62

[ "Apache-2.0" ]

null

from genie.ops.base import Base class Fdb(Base): exclude = []

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8aac2b107b82626a9406f0554f0f415897f390ec

687

py

Python

samples/ner_sample/ner_sample/evaluation/evaluation_metrics.py

katyamust/ml-expr-fw

5ede3ff1f777430cf25e8731e4798fc37387fb9d

[ "MIT" ]

1

2022-03-06T21:52:01.000Z

samples/ner_sample/ner_sample/evaluation/evaluation_metrics.py

omri374/FabricML

a545f1ee907b1b89ca9766a873c5944ec88e54e9

[ "MIT" ]

null

samples/ner_sample/ner_sample/evaluation/evaluation_metrics.py

omri374/FabricML

a545f1ee907b1b89ca9766a873c5944ec88e54e9

[ "MIT" ]

null

from abc import abstractmethod from ner_sample import LoggableObject class EvaluationMetrics(LoggableObject): """ Class which holds the evaluation output for one model run. For example, precision or recall, MSE, accuracy etc. """ @abstractmethod def get_metrics(self): """ Return the evaluation result's metrics you wish to be stored in the experiment logging system like one for each epoch or for each threshold value :return: A dictionary with names of values of metrics to store """ pass def get_params(self): # Evaluation results are not likely to have params, just metrics return None

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8ad6c7c4bfddfe3bcab39d693be6ad52678639ea

75

py

Python

app/datahand/__init__.py

OpenHill/OpenHi

92279362b6513e066dd10f6ccbff8ab8a30b066e

[ "Apache-2.0" ]

null

app/datahand/__init__.py

OpenHill/OpenHi

92279362b6513e066dd10f6ccbff8ab8a30b066e

[ "Apache-2.0" ]

null

app/datahand/__init__.py

OpenHill/OpenHi

92279362b6513e066dd10f6ccbff8ab8a30b066e

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -* # There is Mr. Wang's creation # 数据处理主要序列化和反序列化data

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76db30c460581b426c3f4d2e5831a7a3afa4d675

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py

Python

head_first_design_patterns/hofs_dinamics/croak_behaviors.py

incolumepy-cursos/poop

e4ac26b8d2a8c263a93fd9642fab52aafda53d80

[ "MIT" ]

null

head_first_design_patterns/hofs_dinamics/croak_behaviors.py

incolumepy-cursos/poop

e4ac26b8d2a8c263a93fd9642fab52aafda53d80

[ "MIT" ]

null

head_first_design_patterns/hofs_dinamics/croak_behaviors.py

incolumepy-cursos/poop

e4ac26b8d2a8c263a93fd9642fab52aafda53d80

[ "MIT" ]

null

__author__ = '@britodfbr' def quack(): m = "Quack!" print(m) return m def squeak(): m = "Squeak!" print(m) return m def mute_quack(): m = "<< silence >>" print(m) return m

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