xszheng2020/the_stack_dedup_python_hits_5 · Datasets at Hugging Face

c6a69086148e6c4e35166fc4f6822348efd80eb6

991

py

Python

service/plugins/BasePluginMetadata.py

liorperry/fuzz

2d49b2ea62b59f2790797a93be6a68aae8a150f7

[ "MIT" ]

1

2020-04-23T08:11:40.000Z

service/plugins/BasePluginMetadata.py

liorperry/fuzz

2d49b2ea62b59f2790797a93be6a68aae8a150f7

[ "MIT" ]

null

service/plugins/BasePluginMetadata.py

liorperry/fuzz

2d49b2ea62b59f2790797a93be6a68aae8a150f7

[ "MIT" ]

null

from abc import ABCMeta, abstractmethod from model.ProgUnderTestStatus import ProgUnderTestStatus class BasePluginMetadata(metaclass=ABCMeta): def __init__(self, managerStatus, logService) -> None: self._init(managerStatus, logService) # add progUnderTest status indication self._managerStatus.add(ProgUnderTestStatus(self.name(), self.args())) @abstractmethod def args(self): pass @abstractmethod def name(self): pass @abstractmethod def generator(self): pass @abstractmethod def logAnalyzer(self): pass @abstractmethod def statsAnalyzer(self): pass @abstractmethod def crashAnalyzer(self): pass @abstractmethod def additionalInfo(self): pass @abstractmethod def driver(self): pass @abstractmethod def swagger(self): pass @abstractmethod def _init(self, managerStatus, logService): pass

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c6b7902aba68e993904536c70bae22d64c48e2c3

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py

Python

fatalwhite/hello.py

FatalWhite/Python3Lab

2d914e41f7c0b2f52c06f27804e28e8648a9e048

[ "Apache-2.0" ]

null

fatalwhite/hello.py

FatalWhite/Python3Lab

2d914e41f7c0b2f52c06f27804e28e8648a9e048

[ "Apache-2.0" ]

null

fatalwhite/hello.py

FatalWhite/Python3Lab

2d914e41f7c0b2f52c06f27804e28e8648a9e048

[ "Apache-2.0" ]

null

# 간단한 인사말 def sayHello(): print( 'Hello, World!!' )

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05a50b1887ff181f8a28e683dfcad288331b60f7

102

py

Python

Common/Test/unittest_base.py

tbarlow12/azure-resource-scanner

3e5f592e016a3f8a633634df3ba502c4901805ef

[ "MIT" ]

null

Common/Test/unittest_base.py

tbarlow12/azure-resource-scanner

3e5f592e016a3f8a633634df3ba502c4901805ef

[ "MIT" ]

null

Common/Test/unittest_base.py

tbarlow12/azure-resource-scanner

3e5f592e016a3f8a633634df3ba502c4901805ef

[ "MIT" ]

null

import unittest class TestCase(unittest.TestCase): def _use_adapters(self): return False

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5

af2e15d61bdb41fe254cc69ca564ad263921c106

198

py

Python

wagtail_honeypot/test/apps.py

tomdyson/wagtail-honeypot

99cc00f5eac3153fedebaf97cb0eb060847c948c

[ "MIT" ]

2

2022-02-25T10:23:59.000Z

2022-02-26T21:18:11.000Z

wagtail_honeypot/test/apps.py

tomdyson/wagtail-honeypot

99cc00f5eac3153fedebaf97cb0eb060847c948c

[ "MIT" ]

2

2022-03-03T21:44:42.000Z

2022-03-04T12:28:27.000Z

wagtail_honeypot/test/apps.py

tomdyson/wagtail-honeypot

99cc00f5eac3153fedebaf97cb0eb060847c948c

[ "MIT" ]

1

2022-03-04T10:28:04.000Z

from django.apps import AppConfig class WagtailHoneypotTestAppConfig(AppConfig): label = "wagtail_honeypot_test" name = "wagtail_honeypot.test" verbose_name = "Wagtail Honeypot tests"

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py

Python

package/tests/__init__.py

s-limo/bleparser

a1f5b55ab1c1185877ac50c45dd3685e11994cb2

[ "MIT" ]

10

2021-08-02T10:17:01.000Z

2022-03-19T07:47:02.000Z

package/tests/__init__.py

s-limo/bleparser

a1f5b55ab1c1185877ac50c45dd3685e11994cb2

[ "MIT" ]

11

2021-08-03T07:33:21.000Z

2022-02-17T18:55:22.000Z

package/tests/__init__.py

s-limo/bleparser

a1f5b55ab1c1185877ac50c45dd3685e11994cb2

[ "MIT" ]

6

2021-08-08T04:13:53.000Z

2022-01-12T09:50:40.000Z

# Tests for bleparser

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af575d52aa3d7f851bf1b4fd86279228ff8a51a7

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py

Python

layers/functions/__init__.py

ouyanghuiyu/RefinedetLite.pytorch

a8d4aff57dccfafa9fc3484b2ac47e742acb88e6

[ "MIT" ]

28

2019-12-26T01:47:45.000Z

2020-12-25T10:28:55.000Z

layers/functions/__init__.py

DayBreak-u/RefinedetLite.pytorch

a8d4aff57dccfafa9fc3484b2ac47e742acb88e6

[ "MIT" ]

4

2020-01-15T11:37:18.000Z

2020-03-31T09:08:13.000Z

layers/functions/__init__.py

ouyanghuiyu/RefinedetLite.pytorch

a8d4aff57dccfafa9fc3484b2ac47e742acb88e6

[ "MIT" ]

8

2020-01-03T07:18:34.000Z

2020-09-24T08:05:39.000Z

from .prior_box import PriorBox from .detection_refinedet import Detect_RefineDet __all__ = [ 'PriorBox', 'Detect_RefineDet']

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af63592d830379a97c615b731bc751fac452b0e7

33

py

Python

src/kernel-graphql/__init__.py

pseudonym117/kernel-graphql

0c0fc05ca84c525f1515953d77d853455db14fb1

[ "MIT" ]

1

2021-03-17T16:35:09.000Z

src/kernel-graphql/__init__.py

pseudonym117/kernel-graphql

0c0fc05ca84c525f1515953d77d853455db14fb1

[ "MIT" ]

1

2021-06-02T00:14:18.000Z

src/kernel-graphql/__init__.py

pseudonym117/kernel-graphql

0c0fc05ca84c525f1515953d77d853455db14fb1

[ "MIT" ]

null

from .startup import create_app

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af87384e2f830f8efe99357135c318927ab06d67

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py

Python

9-days-of-code/day-8/01 Function 1.py

jaredliw/mcc-python-solutions

f54b1d2a044788b2adc1eb19a490422eb92ffe77

[ "MIT" ]

2

2021-04-09T04:03:39.000Z

2021-04-09T04:18:28.000Z

9-days-of-code/day-8/01 Function 1.py

jaredliw/mcc-python-solutions

f54b1d2a044788b2adc1eb19a490422eb92ffe77

[ "MIT" ]

null

9-days-of-code/day-8/01 Function 1.py

jaredliw/mcc-python-solutions

f54b1d2a044788b2adc1eb19a490422eb92ffe77

[ "MIT" ]

null

def pow(a, b): return a ** b a, b = int(input()), int(input()) print(pow(a, b))

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af8ce54eb47350dfb4e1724b951386fe58132e56

36

py

Python

apprentice/explain/__init__.py

pearlfranz20/AL_Core

6592079330c7ec3ca264b86f8414970ddab06c0e

[ "MIT" ]

10

2019-11-01T01:09:57.000Z

2022-02-17T09:15:12.000Z

apprentice/explain/__init__.py

pearlfranz20/AL_Core

6592079330c7ec3ca264b86f8414970ddab06c0e

[ "MIT" ]

40

2019-08-06T18:01:31.000Z

2021-07-15T12:38:56.000Z

apprentice/explain/__init__.py

pearlfranz20/AL_Core

6592079330c7ec3ca264b86f8414970ddab06c0e

[ "MIT" ]

6

2019-08-15T01:45:19.000Z

2021-06-01T19:54:29.000Z

from .explanation import Explanation

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afa324376b519427f81a57d2855dc43e2b63ff2a

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py

Python

what_apps/main/admin.py

SlashRoot/WHAT

69e78d01065142446234e77ea7c8c31e3482af29

[ "MIT" ]

null

what_apps/main/admin.py

SlashRoot/WHAT

69e78d01065142446234e77ea7c8c31e3482af29

[ "MIT" ]

null

what_apps/main/admin.py

SlashRoot/WHAT

69e78d01065142446234e77ea7c8c31e3482af29

[ "MIT" ]

null

from django.contrib import admin from models import Bubble, BubbleMenu admin.site.register(Bubble) admin.site.register(BubbleMenu)

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afc57e0a884bd6732971e5901544125cc8d756a1

119

py

Python

language/syntax/grammar/syntax/grammar/spect/bind/binding.py

jedhsu/language

3772a4a0ff287e1fc5ebefc716b8d91928d04c72

[ "MIT" ]

null

language/syntax/grammar/syntax/grammar/spect/bind/binding.py

jedhsu/language

3772a4a0ff287e1fc5ebefc716b8d91928d04c72

[ "MIT" ]

null

language/syntax/grammar/syntax/grammar/spect/bind/binding.py

jedhsu/language

3772a4a0ff287e1fc5ebefc716b8d91928d04c72

[ "MIT" ]

null

from dataclasses import dataclass from .scope import Scope @dataclass class Binding: name: str scope: Scope

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afd13f7e900a5ed8b84f60732b2076b964799792

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py

Python

6_text/text.py

Coding-for-the-Arts/drawbot-samples-solutions

7191610d6efd7d788056070e7826d255b7ef496b

[ "CC0-1.0" ]

null

6_text/text.py

Coding-for-the-Arts/drawbot-samples-solutions

7191610d6efd7d788056070e7826d255b7ef496b

[ "CC0-1.0" ]

null

6_text/text.py

Coding-for-the-Arts/drawbot-samples-solutions

7191610d6efd7d788056070e7826d255b7ef496b

[ "CC0-1.0" ]

null

""" Text Keine Lösung """

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bb8d30a7550d65c9f8d430fef473b44ad0b48aae

1,097

py

Python

tests/test_import.py

a1eko/treem

41039b0734bfe84fe637783842849038630ecb7f

[ "MIT" ]

1

2020-10-06T13:09:02.000Z

tests/test_import.py

a1eko/treem

41039b0734bfe84fe637783842849038630ecb7f

[ "MIT" ]

null

tests/test_import.py

a1eko/treem

41039b0734bfe84fe637783842849038630ecb7f

[ "MIT" ]

1

2021-09-22T14:17:22.000Z

"""Import tests of the main module treem and it's submodules.""" # pylint: disable=unused-import # pylint: disable=import-outside-toplevel def test_import_treem(): """Tests importing treem.""" import treem def test_import_node(): """Tests importing Node from treem.""" from treem import Node def test_import_morph(): """Tests importing Morph from treem.""" from treem import Morph def test_import_swc(): """Tests importing SWC from treem.""" from treem import SWC def test_import_geom(): """Tests importing geom utils from treem.""" from treem.utils.geom import rotation_matrix from treem.utils.geom import norm from treem.utils.geom import angle_between from treem.utils.geom import rotation from treem.utils.geom import repair_branch from treem.utils.geom import sample def test_import_plot(): """Tests importing plot utils from treem.""" from treem.utils.plot import plot_tree from treem.utils.plot import plot_section from treem.utils.plot import plot_neuron from treem.utils.plot import plot_points

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py

Python

src/__init__.py

delete/cool-compiler

3184c71149aa3cd651bd46950379cd18f9b45e49

[ "MIT" ]

null

src/__init__.py

delete/cool-compiler

3184c71149aa3cd651bd46950379cd18f9b45e49

[ "MIT" ]

9

2015-12-17T20:42:43.000Z

2016-05-04T00:08:13.000Z

src/__init__.py

delete/cool-compiler

3184c71149aa3cd651bd46950379cd18f9b45e49

[ "MIT" ]

1

2016-03-07T12:18:53.000Z

from syntactic import syntactic from semantic import Semant from lexical import MyLex as lex

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a55d795c9cebe294d5b4943626145a7644edd6d6

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py

Python

enthought/pyface/ui/null/action/status_bar_manager.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

3

2016-12-09T06:05:18.000Z

2018-03-01T13:00:29.000Z

enthought/pyface/ui/null/action/status_bar_manager.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

1

2020-12-02T00:51:32.000Z

2020-12-02T08:48:55.000Z

enthought/pyface/ui/null/action/status_bar_manager.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

null

# proxy module from pyface.ui.null.action.status_bar_manager import *

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py

Python

enthought/numerical_modeling/ui/interactor.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

3

2016-12-09T06:05:18.000Z

2018-03-01T13:00:29.000Z

enthought/numerical_modeling/ui/interactor.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

1

2020-12-02T00:51:32.000Z

2020-12-02T08:48:55.000Z

enthought/numerical_modeling/ui/interactor.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

null

# proxy module from __future__ import absolute_import from blockcanvas.numerical_modeling.ui.interactor import *

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py

Python

src/pysomneoctrl/__init__.py

pijiulaoshi/pysomneoctrl

4a45bac5ce6a1f83025bbf6bb5786c32c95b09d4

[ "MIT" ]

null

src/pysomneoctrl/__init__.py

pijiulaoshi/pysomneoctrl

4a45bac5ce6a1f83025bbf6bb5786c32c95b09d4

[ "MIT" ]

null

src/pysomneoctrl/__init__.py

pijiulaoshi/pysomneoctrl

4a45bac5ce6a1f83025bbf6bb5786c32c95b09d4

[ "MIT" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ @author: @pijiulaoshi """ if __name__ != "__main__": from .SomneoDevice import SomneoDevice else: from SomneoDevice import SomneoDevice s = SomneoDevice()

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68

py

Python

Hello World Programs/Python/Hello World.py

nikhilraj44/HacktoberFest2020-Contributions

5828e336beaca3dcf6a1568b22f482392591f030

[ "MIT" ]

null

Hello World Programs/Python/Hello World.py

nikhilraj44/HacktoberFest2020-Contributions

5828e336beaca3dcf6a1568b22f482392591f030

[ "MIT" ]

null

Hello World Programs/Python/Hello World.py

nikhilraj44/HacktoberFest2020-Contributions

5828e336beaca3dcf6a1568b22f482392591f030

[ "MIT" ]

null

#This code will print "Hello world" in python3 Print("Hello World")

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3c0ea570227799061d37c71e912883f4aa778b25

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py

Python

melody/wknp.py

krzys-h/soviet-error

31c7bbc275754575a8356196637a8d17fb467fb6

[ "WTFPL" ]

2

2017-08-22T22:53:11.000Z

2017-08-26T09:56:26.000Z

melody/wknp.py

krzys-h/soviet-error

31c7bbc275754575a8356196637a8d17fb467fb6

[ "WTFPL" ]

null

melody/wknp.py

krzys-h/soviet-error

31c7bbc275754575a8356196637a8d17fb467fb6

[ "WTFPL" ]

null

from base import Melody class WKNPMelody(Melody): @staticmethod def get_bpm(): return 30 @staticmethod def get_notes(): return [ ('D4', 0.3), ('B3', 0.3), ('B3', 0.3), ('C4', 0.3), ('A3', 0.3), ('A3', 0.3), ('G3', 0.3), ('B3', 0.3), ('D4', 0.3), ('D4', 0.3), ('B3', 0.3), ('B3', 0.3), ('C4', 0.3), ('A3', 0.3), ('A3', 0.3), ('G3', 0.3), ('B3', 0.3), ('G3', 0.3), ]

20.129032

25

0.277244

72

624

2.375

0.277778

0.210526

0.140351

0.175439

0.421053

0.374269

0

0.179487

0.5

624

30

26

20.8

0.36859

0

0.740741

0

0.057692

0

1

0.074074

true

0

0.037037

0.074074

0.222222

0

null

1

0

1

0

1

0

1

0

null

0

1

0

5

3c192b360653cdb52c3c1b43602bfccb6e2ff2bd

38

py

Python

tests/py/__init__.py

Parquery/mapry

93515307f9eba8447fe64b0ac7cc68b2d07205a7

[ "MIT" ]

11

2019-06-26T05:56:41.000Z

2021-03-28T16:44:16.000Z

tests/py/__init__.py

Parquery/mapry

93515307f9eba8447fe64b0ac7cc68b2d07205a7

[ "MIT" ]

4

2019-10-18T14:43:59.000Z

2020-04-02T19:12:07.000Z

tests/py/__init__.py

Parquery/mapry

93515307f9eba8447fe64b0ac7cc68b2d07205a7

[ "MIT" ]

3

2019-06-17T07:39:03.000Z

2020-04-01T14:01:23.000Z

"""Test generation of Python code."""

19

37

0.684211

5

38

5.2

1

0

0.131579

38

1

38

0.787879

0.815789

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

3c3de1929222e9570f3ce7cc875a83fba71bd84b

14

py

Python

src4/lengu3.py

FJLEspinha/JavaPracticeHacktoberfest

737ca4e8e74abd575f233ed0c8462c4805e7f9da

[ "Apache-2.0" ]

11

2016-10-27T22:01:11.000Z

2021-10-05T12:12:45.000Z

src4/lengu3.py

FJLEspinha/JavaPracticeHacktoberfest

737ca4e8e74abd575f233ed0c8462c4805e7f9da

[ "Apache-2.0" ]

20

2016-10-25T07:48:36.000Z

2021-10-10T03:43:57.000Z

src4/lengu3.py

FJLEspinha/JavaPracticeHacktoberfest

737ca4e8e74abd575f233ed0c8462c4805e7f9da

[ "Apache-2.0" ]

208

2016-10-25T08:41:36.000Z

2021-11-01T05:06:49.000Z

print("unico")

14

0.714286

2

14

5

1

0

14

1

14

0.714286

0

0.333333

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

3c74a30e3cbfb531d94229a9eec96bea2ac563be

111

py

Python

app/api/__init__.py

michaelsatish/elphy

ac6c66c4b56b304dfd81c62ed5f50951ffc76779

[ "MIT" ]

null

app/api/__init__.py

michaelsatish/elphy

ac6c66c4b56b304dfd81c62ed5f50951ffc76779

[ "MIT" ]

null

app/api/__init__.py

michaelsatish/elphy

ac6c66c4b56b304dfd81c62ed5f50951ffc76779

[ "MIT" ]

null

from flask import Blueprint api = Blueprint('api', __name__) from . import token, project, test # noqa

18.5

43

0.693694

14

111

5.214286

0.714286

0.328767

0

0.216216

111

5

44

22.2

0.83908

0.036036

0

0.03

0

1

0

false

0

0.666667

0

0.666667

1

0

null

1

0

1

0

null

0

1

0

1

0

5

3c93439556696da2eab3169a8d6e68e751235614

45

py

Python

lib/node_types/esp8266/compile/uiot/out.py

ulno/iot-devkit

6e90c1c207f23c4b5bf374f58d3701550e6c70ca

[ "MIT" ]

null

lib/node_types/esp8266/compile/uiot/out.py

ulno/iot-devkit

6e90c1c207f23c4b5bf374f58d3701550e6c70ca

[ "MIT" ]

null

lib/node_types/esp8266/compile/uiot/out.py

ulno/iot-devkit

6e90c1c207f23c4b5bf374f58d3701550e6c70ca

[ "MIT" ]

1

2020-07-23T03:03:38.000Z

import uiot.output Out = uiot.output.Output

11.25

24

0.777778

7

45

5

0.571429

0

0.133333

45

3

25

15

0.897436

0

1

0

false

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

5

3c9df2420c149a849dab4dbd41ac6308a3950c08

1,539

py

Python

t-hash.py

tri-llionaire/tri-llionaire.github.io

5134d3ec0ff1e3b7eab469ea05300b505895212f

[ "MIT" ]

1

2018-04-24T14:53:23.000Z

t-hash.py

tri-llionaire/tri-llionaire.github.io

5134d3ec0ff1e3b7eab469ea05300b505895212f

[ "MIT" ]

null

t-hash.py

tri-llionaire/tri-llionaire.github.io

5134d3ec0ff1e3b7eab469ea05300b505895212f

[ "MIT" ]

1

2018-08-25T21:15:07.000Z

#t-hash algorithm char = {' ': '169', '$': '157', '(': '144', ',': '156', '0': '140', '4': '160', '8': '180', '<': '149', '@': '142', 'D': '110', 'H':'138', 'L': '106', 'P': '167', 'T': '126', 'X': '195', '\\': '124', '`': '151', 'd': '159', 'h': '114', 'l': '119', 'p': '139', 't': '174', 'x': '103', '|': '138', '#': '192', "'": '186', '+': '163', '/': '176', '3': '191', '7': '100', ';': '191', '?': '115', 'C': '121', 'G': '154', 'K': '161', 'O': '172', 'S': '197', 'W': '162', '[': '182', '_': '114', 'c': '159', 'g': '101', 'k': '159', 'o': '134', 's': '121', 'w': '123', '{': '185', '"': '193', '&': '118', '*': '172', '.': '106', '2': '135', '6': '119', ':': '123', '>': '190', 'B': '114', 'F': '180', 'J': '119', 'N': '121', 'R': '119', 'V': '188', 'Z': '102', '^': '133', 'b': '105', 'f': '190', 'j': '113', 'n': '139', 'r': '162', 'v': '152', 'z': '181', '~': '185', '!': '118', '%': '121', ')': '137', '-': '99', '1': '158', '5': '147', '9': '161', '=': '109', 'A': '106', 'E': '179', 'I': '151', 'M': '195', 'Q': '111', 'U': '100', 'Y': '101', ']': '185', 'a': '174', 'e': '172', 'i': '154', 'm': '198', 'q': '145', 'u': '130', 'y': '170', '}':'148'} key = int(raw_input('t-hash 1.2.0\nenter a key (2-100): ')) if key <= 100 and key >= 2: s = raw_input('enter string: ') if len(s) > 32: s = s[:33] else: s = s + (' '*(32-len(s))) n = '' for a in s: if a in char: n = char[a] + n else: n = char[' '] + n print hex(int(n)/key)[2:-1] else: pass

81

1,145

0.338532

225

1,539

2.302222

0.537778

0.023166

0

0.260833

0.220273

1,539

18

1,146

85.5

0.170833

0.010396

0

0.176471

0

0.28318

0

null

0.058824

0

null

0.058824

0

null

0

1

0

1

0

1

0

null

0

1

0

1

0

5

b1b96536b340778e5b7f984adc878e85e0f26a09

70

py

Python

ganutils/api/twilio/__init__.py

Gan-Tu/ganutils

203c703cbba0345f9cfe23b03e1e3981f03e43db

[ "MIT" ]

1

2019-12-26T20:46:48.000Z

ganutils/api/twilio/__init__.py

Gan-Tu/ganutils

203c703cbba0345f9cfe23b03e1e3981f03e43db

[ "MIT" ]

10

2019-12-26T06:43:38.000Z

2020-05-30T06:40:46.000Z

ganutils/api/twilio/__init__.py

Gan-Tu/ganutils

203c703cbba0345f9cfe23b03e1e3981f03e43db

[ "MIT" ]

null

# This directory is a Python package from .client import TwilioClient

23.333333

36

0.814286

10

70

5.7

1

0

0.157143

70

3

37

23.333333

0.966102

0.485714

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

b1bae9ffab7d81f7f38280653c4c556748a4deac

65

py

Python

sklearnbot/sklearn/__init__.py

openml/sklearn-bot

7476dd6e27f087166fc416974fc67a78dd4fa4d2

[ "BSD-3-Clause" ]

1

2020-05-06T14:54:32.000Z

sklearnbot/sklearn/__init__.py

openml/sklearn-bot

7476dd6e27f087166fc416974fc67a78dd4fa4d2

[ "BSD-3-Clause" ]

2

2018-10-07T17:30:03.000Z

2018-10-19T00:06:35.000Z

sklearnbot/sklearn/__init__.py

openml/sklearn-bot

7476dd6e27f087166fc416974fc67a78dd4fa4d2

[ "BSD-3-Clause" ]

1

2019-07-03T20:35:22.000Z

from .deserialize import as_estimator, as_pipeline, as_search_cv

32.5

64

0.861538

10

65

5.2

0.8

0

0.092308

65

1

65

0.881356

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

b1c949e97deb22b2a2524b965d32d3eb543e7921

238

py

Python

main/web/form/upload.py

sotheara-leang/xFlask

b6899d4b6d1bdc4acfd812bfa8807e2cba7e8df0

[ "MIT" ]

2

2020-02-11T08:29:49.000Z

2020-02-17T10:24:36.000Z

main/web/form/upload.py

sotheara-leang/xFlask

b6899d4b6d1bdc4acfd812bfa8807e2cba7e8df0

[ "MIT" ]

null

main/web/form/upload.py

sotheara-leang/xFlask

b6899d4b6d1bdc4acfd812bfa8807e2cba7e8df0

[ "MIT" ]

null

from xflask.wtforms import FileField, FileRequired, EnumField from xflask.wtforms import Form from main.type.file import FileType class UploadForm(Form): file = FileField(validators=[FileRequired()]) type = EnumField(FileType)

23.8

61

0.777311

28

238

6.607143

0.535714

0.108108

0.183784

0.248649

0

0.138655

238

9

62

26.444444

0.902439

0

1

0

false

0

0.5

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

5

b1ef67b91584496b1b81dc2e7cd79674c8221344

116

py

Python

hello_python/chapter02/data_string.py

zachard/python-parent

374ab3fc3d0584adb26db1ff7c124665468d76df

[ "Apache-2.0" ]

null

hello_python/chapter02/data_string.py

zachard/python-parent

374ab3fc3d0584adb26db1ff7c124665468d76df

[ "Apache-2.0" ]

null

hello_python/chapter02/data_string.py

zachard/python-parent

374ab3fc3d0584adb26db1ff7c124665468d76df

[ "Apache-2.0" ]

null

double_quota_string = "这是字符串!" apostrophe_string = '这特么的也是字符串!' print(double_quota_string) print(apostrophe_string)

23.2

32

0.827586

14

116

6.428571

0.5

0.244444

0.377778

0

0.068966

116

5

33

23.2

0.833333

0

0.136752

0

1

0

false

0

0.5

1

0

null

1

0

1

0

null

0

1

0

5

b1f35af5ba3aa8fd38ff57b6980199ff2205ed62

32

py

Python

Conda_Recipe_macOS_Linux/Conda_Build_Recipe_macOS/xinterpdf/__main__.py

curieshicy/OrganicPDFGUI

a200b48786eee185d8a9d860d35518a88242950d

[ "MIT" ]

2

2018-02-02T21:31:58.000Z

2018-06-26T13:44:22.000Z

Conda_Recipe_macOS_Linux/Conda_Build_Recipe_macOS/xinterpdf/__main__.py

curieshicy/OrganicPDFGUI

a200b48786eee185d8a9d860d35518a88242950d

[ "MIT" ]

null

Conda_Recipe_macOS_Linux/Conda_Build_Recipe_macOS/xinterpdf/__main__.py

curieshicy/OrganicPDFGUI

a200b48786eee185d8a9d860d35518a88242950d

[ "MIT" ]

1

2018-06-26T13:44:43.000Z

from xinterpdf import cli cli()

10.666667

25

0.78125

5

32

5

0.8

0

0.15625

32

3

26

10.666667

0.925926

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

5

3ca229fca6f7a0b18a25a21ff831920c1c72373d

176

py

Python

foss_finder/utils/user_defined_info/fields/__init__.py

iotile/foss_finder

0c31530cf2158d4565a8168aecda18ffbcc68f04

[ "MIT" ]

6

2019-03-11T22:36:55.000Z

2019-04-05T17:49:40.000Z

foss_finder/utils/user_defined_info/fields/__init__.py

iotile/foss_finder

0c31530cf2158d4565a8168aecda18ffbcc68f04

[ "MIT" ]

11

2018-09-06T23:10:52.000Z

2020-01-14T20:49:35.000Z

foss_finder/utils/user_defined_info/fields/__init__.py

iotile/foss_finder

0c31530cf2158d4565a8168aecda18ffbcc68f04

[ "MIT" ]

1

2020-07-16T12:21:29.000Z

from .add_packages import AddPackages from .additional_info import AdditionalInfo from .multi_license_selection import MultiLicenseSelection from .overwrites import Overwrites

35.2

58

0.886364

20

176

7.6

0.65

0

0.090909

176

4

59

44

0.95

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

3cea315a8f68aa16950aeda8fef1525ccc900ea0

107

py

Python

conan/tools/microsoft/__init__.py

ssaavedra/conan

e15dc7902fbbeaf469798a3b9948ead1ecfc8e3c

[ "MIT" ]

null

conan/tools/microsoft/__init__.py

ssaavedra/conan

e15dc7902fbbeaf469798a3b9948ead1ecfc8e3c

[ "MIT" ]

null

conan/tools/microsoft/__init__.py

ssaavedra/conan

e15dc7902fbbeaf469798a3b9948ead1ecfc8e3c

[ "MIT" ]

null

# noinspection PyUnresolvedReferences from .toolchain import MSBuildToolchain from .msbuild import MSBuild

26.75

39

0.869159

10

107

9.3

0.7

0

0.102804

107

3

40

35.666667

0.96875

0.327103

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

5966e510b0f0ffe3e755fc42eb67df3b59fa77b9

166

py

Python

dream/policy/return_call.py

icyblade/dream

818e77f1c25e51f8cd966f7aa4eb1bcd4207b208

[ "MIT" ]

null

dream/policy/return_call.py

icyblade/dream

818e77f1c25e51f8cd966f7aa4eb1bcd4207b208

[ "MIT" ]

null

dream/policy/return_call.py

icyblade/dream

818e77f1c25e51f8cd966f7aa4eb1bcd4207b208

[ "MIT" ]

null

from . import BasePolicy from ..game.action import Action class ReturnCall(BasePolicy): def act(self, observation, reward, done): return Action('CALL')

20.75

45

0.710843

20

166

5.9

0.75

0

0.186747

166

7

46

23.714286

0.874074

0

0.024096

0

1

0.2

false

0

0.4

0.2

1

0

1

0

null

0

1

0

null

0

1

0

5

597cb061b99435b935d7a9a599a71c80332d1055

89

py

Python

htcondor_executor/utils.py

JoshKarpel/htcondor-executor

a2a40f55772a4391b57bc1baeb5aa66d9ca0f17d

[ "Apache-2.0" ]

null

htcondor_executor/utils.py

JoshKarpel/htcondor-executor

a2a40f55772a4391b57bc1baeb5aa66d9ca0f17d

[ "Apache-2.0" ]

null

htcondor_executor/utils.py

JoshKarpel/htcondor-executor

a2a40f55772a4391b57bc1baeb5aa66d9ca0f17d

[ "Apache-2.0" ]

null

import enum class StrEnum(enum.Enum): def __str__(self): return self.value

12.714286

25

0.662921

12

89

4.583333

0.75

0

0.247191

89

6

26

14.833333

0.820896

0

1

0.25

false

0

0.25

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

59a0674a53ebd325bc3b2d14eb7e261b83c242af

159

py

Python

Dataset/Leetcode/test/70/482.py

kkcookies99/UAST

fff81885aa07901786141a71e5600a08d7cb4868

[ "MIT" ]

null

Dataset/Leetcode/test/70/482.py

kkcookies99/UAST

fff81885aa07901786141a71e5600a08d7cb4868

[ "MIT" ]

null

Dataset/Leetcode/test/70/482.py

kkcookies99/UAST

fff81885aa07901786141a71e5600a08d7cb4868

[ "MIT" ]

null

class Solution: def XXX(self, n: int) -> int: n += 1 return round(5 ** 0.5 / 5 * (((1 + 5 ** 0.5) / 2) ** n - ((1 - 5 ** 0.5) / 2) ** n))

26.5

92

0.371069

28

159

2.107143

0.464286

0.101695

0.152542

0.135593

0.20339

0

0.148515

0.36478

159

5

93

31.8

0.435644

0

1

0.25

false

0

0.75

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

59ce5c1a8d89aca09499cb4924f2c752b20d5a46

53

py

Python

src/CraftCrypto_Helpers/test.py

Craft-Crypto/CraftCrypto_Helpers

6c3725824778f2b152cb5371e57230cb5237c00d

[ "MIT" ]

null

src/CraftCrypto_Helpers/test.py

Craft-Crypto/CraftCrypto_Helpers

6c3725824778f2b152cb5371e57230cb5237c00d

[ "MIT" ]

null

src/CraftCrypto_Helpers/test.py

Craft-Crypto/CraftCrypto_Helpers

6c3725824778f2b152cb5371e57230cb5237c00d

[ "MIT" ]

null

from KivyRecord import KivyRecord print(KivyRecord())

26.5

33

0.849057

6

53

7.5

0.666667

0

0.075472

53

2

34

26.5

0.918367

0

1

0

true

0

0.5

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

ab9e3c2cec207f0439e49d53bcd863fa9d4e67f4

347

py

Python

src/accounts/utils/__init__.py

loganathanengrr/Django-Rest-Core

928c2d816c0aa48453dde8642ef1b263f76ae39d

[ "MIT" ]

1

2020-02-18T11:09:56.000Z

src/accounts/utils/__init__.py

loganathanengrr/Django-Rest-Core

928c2d816c0aa48453dde8642ef1b263f76ae39d

[ "MIT" ]

8

2020-02-11T23:20:50.000Z

2022-03-11T23:32:18.000Z

src/accounts/utils/__init__.py

loganathanengrr/Django-Rest-Core

928c2d816c0aa48453dde8642ef1b263f76ae39d

[ "MIT" ]

null

from .utils import ( jwt_response_payload_handler, get_secret_key, encode_uid, decode_uid, login_user, logout_user, ActionViewMixin, token_response_payload_handler, ) __all__ = [ 'jwt_response_payload_handler','get_secret_key','encode_uid','decode_uid','logout_user', 'login_user','ActionViewMixin','token_response_payload_handler' ]

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21.6875

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null

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5

abb2da155d67aa11e5639c0d4027584739a7d5b9

45

py

Python

first.py

ja-dir/demorepo

00ead2c4167735204f3f184d883b664e87ca725e

[ "MIT" ]

null

first.py

ja-dir/demorepo

00ead2c4167735204f3f184d883b664e87ca725e

[ "MIT" ]

null

first.py

ja-dir/demorepo

00ead2c4167735204f3f184d883b664e87ca725e

[ "MIT" ]

null

print("Hello World") print("Added new line")

15

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45

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null

0

1

0

1

0

5

abd03ba923e7e353624ee7bfa8e41c386aaa9af7

134

py

Python

tests/test_example.py

3Dsamples/MoeFlow

5c76fd260102bf06db39b2cc36ef501960d60d3c

[ "MIT" ]

120

2017-11-17T23:04:46.000Z

2022-01-17T02:00:48.000Z

tests/test_example.py

3Dsamples/MoeFlow

5c76fd260102bf06db39b2cc36ef501960d60d3c

[ "MIT" ]

2

2018-01-20T09:05:38.000Z

2019-05-24T05:20:20.000Z

tests/test_example.py

freedomofkeima/MoeFlow

5c76fd260102bf06db39b2cc36ef501960d60d3c

[ "MIT" ]

7

2019-01-24T10:32:52.000Z

2021-03-23T16:02:44.000Z

# -*- coding: utf-8 -*- from moeflow.cmds.main import hello_world def test_hello_world(): hello_world(object()) assert True

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5

abf3ac12fc696155f142339651595e6e2e4c9920

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py

Python

tests/test_ops/test_hptuning.py

granularai/polyaxon-schemas

017ae74701f21f12f0b25e75379681ea5d8baa9e

[ "MIT" ]

null

tests/test_ops/test_hptuning.py

granularai/polyaxon-schemas

017ae74701f21f12f0b25e75379681ea5d8baa9e

[ "MIT" ]

null

tests/test_ops/test_hptuning.py

granularai/polyaxon-schemas

017ae74701f21f12f0b25e75379681ea5d8baa9e

[ "MIT" ]

null

# -*- coding: utf-8 -*- from __future__ import absolute_import, division, print_function from unittest import TestCase from marshmallow.exceptions import ValidationError from tests.utils import assert_equal_dict from polyaxon_schemas.ops.group.hptuning import ( AcquisitionFunctions, BOConfig, GaussianProcessConfig, GaussianProcessesKernels, GridSearchConfig, HPTuningConfig, HyperbandConfig, RandomSearchConfig, UtilityFunctionConfig ) from polyaxon_schemas.ops.group.metrics import Optimization, SearchMetricConfig class TestHptuningConfigs(TestCase): def test_grid_search_config(self): config_dict = {'n_experiments': 10} config = GridSearchConfig.from_dict(config_dict) assert_equal_dict(config.to_dict(), config_dict) # Raises for negative values config_dict['n_experiments'] = -5 with self.assertRaises(ValidationError): GridSearchConfig.from_dict(config_dict) config_dict['n_experiments'] = -0.5 with self.assertRaises(ValidationError): GridSearchConfig.from_dict(config_dict) # Add n_experiments percent config_dict['n_experiments'] = 0.5 with self.assertRaises(ValidationError): GridSearchConfig.from_dict(config_dict) config_dict['n_experiments'] = 5 config = GridSearchConfig.from_dict(config_dict) assert_equal_dict(config.to_dict(), config_dict) def test_random_search_config(self): config_dict = {'n_experiments': 10} config = RandomSearchConfig.from_dict(config_dict) assert_equal_dict(config.to_dict(), config_dict) # Raises for negative values config_dict['n_experiments'] = -5 with self.assertRaises(ValidationError): RandomSearchConfig.from_dict(config_dict) config_dict['n_experiments'] = -0.5 with self.assertRaises(ValidationError): RandomSearchConfig.from_dict(config_dict) # Add n_experiments percent config_dict['n_experiments'] = 0.5 with self.assertRaises(ValidationError): RandomSearchConfig.from_dict(config_dict) config_dict['n_experiments'] = 5 config = RandomSearchConfig.from_dict(config_dict) assert_equal_dict(config.to_dict(), config_dict) def test_hyperband_config(self): config_dict = { 'max_iter': 10, 'eta': 3, 'resource': {'name': 'steps', 'type': 'int'}, 'resume': False, 'metric': SearchMetricConfig(name='loss', optimization=Optimization.MINIMIZE).to_dict() } config = HyperbandConfig.from_dict(config_dict) assert_equal_dict(config.to_dict(), config_dict) # Raises for negative values config_dict['max_iter'] = 0 with self.assertRaises(ValidationError): HyperbandConfig.from_dict(config_dict) config_dict['max_iter'] = -0.5 with self.assertRaises(ValidationError): HyperbandConfig.from_dict(config_dict) config_dict['max_iter'] = 3 # Add n_experiments percent config_dict['eta'] = -0.5 with self.assertRaises(ValidationError): HyperbandConfig.from_dict(config_dict) config_dict['eta'] = 2.9 config = HyperbandConfig.from_dict(config_dict) assert_equal_dict(config.to_dict(), config_dict) def test_gaussian_process_config(self): config_dict = { 'kernel': GaussianProcessesKernels.MATERN, 'length_scale': 1.0, 'nu': 1.9, 'n_restarts_optimizer': 2 } config = GaussianProcessConfig.from_dict(config_dict) assert_equal_dict(config.to_dict(), config_dict) def test_utility_function_config(self): config_dict = { 'acquisition_function': AcquisitionFunctions.UCB, } with self.assertRaises(ValidationError): UtilityFunctionConfig.from_dict(config_dict) config_dict = { 'acquisition_function': AcquisitionFunctions.POI, } with self.assertRaises(ValidationError): UtilityFunctionConfig.from_dict(config_dict) config_dict = { 'acquisition_function': AcquisitionFunctions.UCB, 'kappa': 1.2, 'gaussian_process': { 'kernel': GaussianProcessesKernels.MATERN, 'length_scale': 1.0, 'nu': 1.9, 'n_restarts_optimizer': 2 } } config = UtilityFunctionConfig.from_dict(config_dict) assert_equal_dict(config.to_dict(), config_dict) config_dict = { 'acquisition_function': AcquisitionFunctions.EI, 'eps': 1.2, 'gaussian_process': { 'kernel': GaussianProcessesKernels.MATERN, 'length_scale': 1.0, 'nu': 1.9, 'n_restarts_optimizer': 2 } } config = UtilityFunctionConfig.from_dict(config_dict) assert_equal_dict(config.to_dict(), config_dict) def test_bo_config(self): config_dict = { 'metric': SearchMetricConfig(name='loss', optimization=Optimization.MINIMIZE).to_dict(), 'n_initial_trials': 2, 'n_iterations': 19, 'utility_function': { 'acquisition_function': AcquisitionFunctions.UCB, 'kappa': 1.2, 'gaussian_process': { 'kernel': GaussianProcessesKernels.MATERN, 'length_scale': 1.0, 'nu': 1.9, 'n_restarts_optimizer': 2 } } } config = BOConfig.from_dict(config_dict) assert_equal_dict(config.to_dict(), config_dict) def test_hptuning_config_raise_conditions(self): config_dict = { 'concurrency': 2, } config = HPTuningConfig.from_dict(config_dict) assert_equal_dict(config.to_dict(), config_dict) config = HPTuningConfig.from_dict(config.to_dict()) assert_equal_dict(config.to_dict(), config_dict) # Add random_search without matrix should raise config_dict['random_search'] = {'n_experiments': 10} with self.assertRaises(ValidationError): HPTuningConfig.from_dict(config_dict) # Add a matrix definition with 2 methods config_dict['matrix'] = { 'lr': {'values': [1, 2, 3], 'pvalues': [(1, 0.3), (2, 0.3), (3, 0.3)]} } with self.assertRaises(ValidationError): HPTuningConfig.from_dict(config_dict) # Using a distribution with random search should pass config_dict['matrix'] = { 'lr': {'pvalues': [(1, 0.3), (2, 0.3), (3, 0.3)]} } config = HPTuningConfig.from_dict(config_dict) assert_equal_dict(config.to_dict(), config_dict) # Add matrix definition should pass config_dict['matrix'] = { 'lr': {'values': [1, 2, 3]} } config = HPTuningConfig.from_dict(config_dict) assert_equal_dict(config.to_dict(), config_dict) # Add grid_search should raise config_dict['grid_search'] = {'n_experiments': 10} with self.assertRaises(ValidationError): HPTuningConfig.from_dict(config_dict) # Remove random_search should pass del config_dict['random_search'] config = HPTuningConfig.from_dict(config_dict) assert_equal_dict(config.to_dict(), config_dict) # Adding a distribution should raise config_dict['matrix'] = { 'lr': {'pvalues': [(1, 0.3), (2, 0.3), (3, 0.3)]} } with self.assertRaises(ValidationError): HPTuningConfig.from_dict(config_dict) # Updating the matrix should pass config_dict['matrix'] = { 'lr': {'values': [1, 2, 3]} } config = HPTuningConfig.from_dict(config_dict) assert_equal_dict(config.to_dict(), config_dict) # Add hyperband should raise config_dict['hyperband'] = { 'max_iter': 10, 'eta': 3, 'resource': {'name': 'steps', 'type': 'int'}, 'resume': False, 'metric': SearchMetricConfig(name='loss', optimization=Optimization.MINIMIZE).to_dict() } with self.assertRaises(ValidationError): HPTuningConfig.from_dict(config_dict) # Remove grid_search should pass del config_dict['grid_search'] config = HPTuningConfig.from_dict(config_dict) assert_equal_dict(config.to_dict(), config_dict) # Add early stopping config_dict['early_stopping'] = [ { 'metric': 'loss', 'value': 0.1, 'optimization': Optimization.MINIMIZE, 'policy': {'kind': 'median', 'evaluation_interval': 1} }, { 'metric': 'accuracy', 'value': 0.9, 'optimization': Optimization.MAXIMIZE, 'policy': {'kind': 'truncation', 'percent': 50, 'evaluation_interval': 1} } ] config = HPTuningConfig.from_dict(config_dict) assert_equal_dict(config.to_dict(), config_dict) # Add bo should raise config_dict['bo'] = { 'metric': SearchMetricConfig(name='loss', optimization=Optimization.MINIMIZE).to_dict(), 'n_initial_trials': 2, 'n_iterations': 10, 'utility_function': { 'acquisition_function': AcquisitionFunctions.UCB, 'kappa': 1.2, 'gaussian_process': { 'kernel': GaussianProcessesKernels.MATERN, 'length_scale': 1.0, 'nu': 1.9, 'n_restarts_optimizer': 2 } } } with self.assertRaises(ValidationError): HPTuningConfig.from_dict(config_dict) # Remove hyperband should pass del config_dict['hyperband'] config = HPTuningConfig.from_dict(config_dict) assert_equal_dict(config.to_dict(), config_dict) # Using non uniform distribution should raise # Updating the matrix should pass config_dict['matrix'] = { 'lr': {'pvalues': [[0.1, 0.1], [0.2, 0.9]]} } with self.assertRaises(ValidationError): HPTuningConfig.from_dict(config_dict) config_dict['matrix'] = { 'lr': {'normal': [0.1, 0.2]} } with self.assertRaises(ValidationError): HPTuningConfig.from_dict(config_dict) # Using uniform distribution should raise config_dict['matrix'] = { 'lr': {'uniform': {'low': 0.1, 'high': 0.2}} } config = HPTuningConfig.from_dict(config_dict) assert_equal_dict(config.to_dict(), config_dict) def test_random_and_grid_search_without_n_experiments(self): config_dict = { 'concurrency': 1, 'matrix': {'lr': {'values': [1, 2, 3]}}, 'random_search': {}, 'early_stopping': [], 'seed': None } config = HPTuningConfig.from_dict(config_dict) assert config.to_dict() == config_dict

35.823899

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11,392

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0.1079

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0

null

0

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null

0

5

280607ce79f3c653708ac11e07e27d4027dd4442

174

py

Python

Data Scientist Career Path/7. Summary Statistics/8. Associations between Variables/3. Two Categorical/2. frequency.py

myarist/Codecademy

2ba0f104bc67ab6ef0f8fb869aa12aa02f5f1efb

[ "MIT" ]

23

2021-06-06T15:35:55.000Z

2022-03-21T06:53:42.000Z

Data Scientist Career Path/7. Summary Statistics/8. Associations between Variables/3. Two Categorical/2. frequency.py

shivaniverma1/Data-Scientist

f82939a411484311171465591455880c8e354750

[ "MIT" ]

null

Data Scientist Career Path/7. Summary Statistics/8. Associations between Variables/3. Two Categorical/2. frequency.py

shivaniverma1/Data-Scientist

f82939a411484311171465591455880c8e354750

[ "MIT" ]

9

2021-06-08T01:32:04.000Z

2022-03-18T15:38:09.000Z

import pandas as pd import codecademylib3 npi = pd.read_csv("npi_sample.csv") special_authority_freq = pd.crosstab(npi.special, npi.authority) print(special_authority_freq)

24.857143

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0.006289

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null

1

0

1

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null

0

1

0

5

e604c076d8d29f966d41c0bf47e16a6e53e47779

125

py

Python

Hackerrank/Python/np-concatenate.py

PROxZIMA/Competitive-Coding

ba6b365ea130b6fcaa15c5537b530ed363bab793

[ "MIT" ]

1

2021-01-10T13:29:21.000Z

Hackerrank/Python/np-concatenate.py

PROxZIMA/Competitive-Coding

ba6b365ea130b6fcaa15c5537b530ed363bab793

[ "MIT" ]

null

Hackerrank/Python/np-concatenate.py

PROxZIMA/Competitive-Coding

ba6b365ea130b6fcaa15c5537b530ed363bab793

[ "MIT" ]

null

import numpy n, m, p = input().split() print(numpy.array([list(map(int, input().split())) for _ in range(int(n)+int(m))]))

20.833333

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0.624

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125

3.5

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true

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0.333333

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1

0

1

0

null

0

1

0

1

0

5

e607bc6f68eb28c4431b2ec42e9bc1bf78e04482

142

py

Python

tensorcraft/backend/httpapi/routing.py

netrack/bayes

15e0c54b795f4ce527cc5e2c46bbb7da434ac036

[ "Apache-2.0" ]

12

2019-07-15T11:15:23.000Z

2019-12-05T12:19:48.000Z

tensorcraft/backend/httpapi/routing.py

netrack/bayes

15e0c54b795f4ce527cc5e2c46bbb7da434ac036

[ "Apache-2.0" ]

10

2019-06-25T17:42:44.000Z

2019-07-09T13:28:12.000Z

tensorcraft/backend/httpapi/routing.py

netrack/tensorcraft

15e0c54b795f4ce527cc5e2c46bbb7da434ac036

[ "Apache-2.0" ]

1

2019-05-23T13:22:19.000Z

from typing import Callable def urlto(path: str) -> Callable: def _to(func): func.url = path return func return _to

15.777778

33

0.612676

19

142

4.473684

0.631579

0.258824

0

0.309859

142

8

34

17.75

0.867347

0

1

0.333333

false

0

0.166667

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0.833333

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1

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null

1

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1

0

null

0

1

0

1

0

5

e60ec83ca5409438b4671b2ffe57ed263f898f3b

19

py

Python

ellipsefit/__init__.py

RealPolitiX/ellipsefit

815136662b2e9a544b93568a91a1224cd30ea6f2

[ "MIT" ]

null

ellipsefit/__init__.py

RealPolitiX/ellipsefit

815136662b2e9a544b93568a91a1224cd30ea6f2

[ "MIT" ]

null

ellipsefit/__init__.py

RealPolitiX/ellipsefit

815136662b2e9a544b93568a91a1224cd30ea6f2

[ "MIT" ]

null

from .fit import *

9.5

18

0.684211

3

19

4.333333

1

0

0.210526

19

1

19

0.866667

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

e612e308787acddfb4ed9cbb0807701a19c04748

42

py

Python

gonzo/webapp/tests.py

paulcwatts/1hph

407337955121c3f59b4621acb392e6c23b57ae8e

[ "BSD-3-Clause" ]

1

2016-10-03T05:29:12.000Z

gonzo/webapp/tests.py

paulcwatts/1hph

407337955121c3f59b4621acb392e6c23b57ae8e

[ "BSD-3-Clause" ]

null

gonzo/webapp/tests.py

paulcwatts/1hph

407337955121c3f59b4621acb392e6c23b57ae8e

[ "BSD-3-Clause" ]

null

from gonzo.webapp.account.tests import *

14

40

0.785714

6

42

5.5

1

0

0.119048

42

2

41

21

0.891892

0

1

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true

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null

0

1

0

null

0

1

0

1

0

5

e61a0b5c05e09aef96b5e844787d93bb756198bb

192

py

Python

conftest.py

RyusukeYamano/nngen

9ed1f7fb83908794aa94d70287d89545d45fe875

[ "Apache-2.0" ]

232

2015-09-01T16:07:48.000Z

2022-03-28T14:53:28.000Z

conftest.py

RyusukeYamano/nngen

9ed1f7fb83908794aa94d70287d89545d45fe875

[ "Apache-2.0" ]

34

2015-08-21T09:13:03.000Z

2022-03-21T23:52:44.000Z

conftest.py

RyusukeYamano/nngen

9ed1f7fb83908794aa94d70287d89545d45fe875

[ "Apache-2.0" ]

46

2015-09-24T14:39:57.000Z

2022-02-23T21:59:56.000Z

from __future__ import absolute_import from __future__ import print_function import pytest def pytest_addoption(parser): parser.addoption('--sim', default='iverilog', help='Simulator')

21.333333

67

0.791667

23

192

6.130435

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0.141844

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0

0.114583

192

8

68

24

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null

0

1

0

1

0

5

0544a26e6eb38eab2662807867b46a5fb9f188d6

40

py

Python

src/sirak.py

mamo3650/CU_HIN

002cc968d596940c302ce02d3d14f6206382d879

[ "MIT" ]

null

src/sirak.py

mamo3650/CU_HIN

002cc968d596940c302ce02d3d14f6206382d879

[ "MIT" ]

null

src/sirak.py

mamo3650/CU_HIN

002cc968d596940c302ce02d3d14f6206382d879

[ "MIT" ]

null

import numpy as np This is a test file

10

19

0.75

9

40

3.333333

1

0

0.25

40

3

20

13.333333

1

0

null

0

0.5

null

0

1

0

null

0

1

0

null

0

1

0

1

0

5

057020daa993e057feb8474e2550eed3405fe11a

128

py

Python

Challenges/Convert number to reversed array of digits.py

Flixis/Python-Projects

cc995f7fe76e29f30950bb1cd07945b2306c822e

[ "MIT" ]

1

2020-10-03T19:52:59.000Z

Challenges/Convert number to reversed array of digits.py

Flixis/Python-Projects

cc995f7fe76e29f30950bb1cd07945b2306c822e

[ "MIT" ]

5

2020-01-19T00:33:52.000Z

2020-08-28T12:50:20.000Z

Challenges/Convert number to reversed array of digits.py

Flixis/Python-Projects

cc995f7fe76e29f30950bb1cd07945b2306c822e

[ "MIT" ]

null

#failed this one, used solution from codewars.com def digitize(n): return map(int, str(n)[::-1]) print(list(digitize(700)))

25.6

49

0.695313

21

128

4.238095

0.904762

0

0.036036

0.132813

128

5

50

25.6

0.765766

0.375

0

1

0.333333

false

0

0.333333

0.666667

0.333333

1

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null

0

1

0

null

0

1

0

1

0

5

058e82f5f9da185784ff38a3b42cac5415130098

37

py

Python

num1/test.py

qiwk/show-me-the-code

b6ad49a504cb935c25ec3dcfa5334918f53d3bc0

[ "MIT" ]

null

num1/test.py

qiwk/show-me-the-code

b6ad49a504cb935c25ec3dcfa5334918f53d3bc0

[ "MIT" ]

null

num1/test.py

qiwk/show-me-the-code

b6ad49a504cb935c25ec3dcfa5334918f53d3bc0

[ "MIT" ]

null

# -*- coding:utf-8 -*- print('hello')

18.5

22

0.540541

5

37

4

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37

2

23

18.5

0.575758

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1

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null

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1

0

1

0

5

556660c0f2753155fa3d99cdd82a2dde4b6c97bb

49

py

Python

transformer_in_transformer_code/__init__.py

hyukyu/ViT-pytorch

8b1306fec993b1c270a8c7a5e33853ae23a39447

[ "MIT" ]

null

transformer_in_transformer_code/__init__.py

hyukyu/ViT-pytorch

8b1306fec993b1c270a8c7a5e33853ae23a39447

[ "MIT" ]

null

transformer_in_transformer_code/__init__.py

hyukyu/ViT-pytorch

8b1306fec993b1c270a8c7a5e33853ae23a39447

[ "MIT" ]

null

# from transformer_in_transformer.tnt import TNT

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0

null

0

1

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556d0faacab306d037726bd050b7d1f58810c52f

126

py

Python

trisakti/promotions/admin.py

faizrahmathidayat/trisakti-backend

9d01dc5144943007c694fc3a663183696fcb4c60

[ "MIT" ]

null

trisakti/promotions/admin.py

faizrahmathidayat/trisakti-backend

9d01dc5144943007c694fc3a663183696fcb4c60

[ "MIT" ]

null

trisakti/promotions/admin.py

faizrahmathidayat/trisakti-backend

9d01dc5144943007c694fc3a663183696fcb4c60

[ "MIT" ]

null

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

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null

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1

0

1

0

5

5570e305b931a61078b8ff9b626a7d2ac2cfa8de

72

py

Python

hrl/elegant/normalize/__init__.py

sbl1996/hrl

923db4198dd06160df37d9fb3ed0fc966da4462d

[ "Apache-2.0" ]

null

hrl/elegant/normalize/__init__.py

sbl1996/hrl

923db4198dd06160df37d9fb3ed0fc966da4462d

[ "Apache-2.0" ]

null

hrl/elegant/normalize/__init__.py

sbl1996/hrl

923db4198dd06160df37d9fb3ed0fc966da4462d

[ "Apache-2.0" ]

null

from hrl.elegant.normalize.input_normalization import InputNormalization

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null

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1

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1

0

1

0

5

e94c23c39bb8c9f9cf79cb5b461f02d387d6d3b2

180

py

Python

src/inception/image/statadjust/__init__.py

jercytryn/inception

f7489cccdd308b5bb2d6ea04588dc67113e995b5

[ "MIT" ]

6

2015-06-02T02:41:12.000Z

2021-08-16T11:15:58.000Z

src/inception/image/statadjust/__init__.py

jercytryn/inception

f7489cccdd308b5bb2d6ea04588dc67113e995b5

[ "MIT" ]

2

2015-05-20T08:13:07.000Z

src/inception/image/statadjust/__init__.py

jercytryn/inception

f7489cccdd308b5bb2d6ea04588dc67113e995b5

[ "MIT" ]

2

2015-09-11T02:03:11.000Z

2016-07-05T21:13:56.000Z

""" Statistical image lighting adjustment based on "Understanding and Improving the Realism of Image Composites" (Xue et al. 2012) """ from .statadjust import statadjust as adjust

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0

1

0

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0

1

0

1

0

5

e972744aa2f8fced1aedee63f61c0b8ce72bc174

1,805

py

Python

test_suite_auto.py

booherbg/PyAutomata

432555806dd68ff6a8c05b525fa25ab8ac0a80fe

[ "Apache-2.0" ]

1

2018-09-19T07:27:31.000Z

test_suite_auto.py

booherbg/PyAutomata

432555806dd68ff6a8c05b525fa25ab8ac0a80fe

[ "Apache-2.0" ]

null

test_suite_auto.py

booherbg/PyAutomata

432555806dd68ff6a8c05b525fa25ab8ac0a80fe

[ "Apache-2.0" ]

null

''' Same as test_suite.py but it only uses the module, not both python and c++ this can be ran with pypy (which will load python) or cpython (which will use c++) Cpython with c++: the fastest. Chokes on high generations (10,000,000) although technically that shouldn't happen. Cpython with python: the slowest, should never really use. (10x-20x slower) pypy with python: Only half as slow as cpython/c++, efficient memory that doesn't choke on high generations. Increases performance as generations increase due to the caching nature of pypy's JIT compiler. recommended in most cases except when absolute performance is needed and memory is not a concern. ''' import __init__ as pa if pa.__pypy__: print "found pypy: using pure python" else: print "pypy not found: using c++ bindings" a = pa.pyautomata(110, 16) #Python #b = pb.pyautomata(110, 16) #cython a.init_seed() #b.init_seed() #assert a.chunks_FromCurrentGeneration(8) == b.chunks_FromCurrentGeneration(8) print 'chunks_FromCurrentGeneration(8) passes' a.init_seed((42, 42, 42)) #b.init_seed((42, 42, 42)) #assert a.chunks_FromCurrentGeneration(8) == b.chunks_FromCurrentGeneration(8) assert a.chunks_FromCurrentGeneration(8) == [42, 42] print "init_seed([(42, 42, 42)) passes" for i in xrange(10): a.iterateAutomata() #b.iterateAutomata() #assert a.chunks_FromCurrentGeneration(8) == b.chunks_FromCurrentGeneration(8) print '10 generations passes' print "stress test: 1,000,000 generations" for i in xrange(1000000): if i % 50000 == 0: print "%d generations done" % i a.iterateAutomata() #b.iterateAutomata() #assert a.chunks_FromCurrentGeneration(8) == b.chunks_FromCurrentGeneration(8) print '1000000 generations passes' a.printBuffer() print '---------------' #b.printBuffer()

32.818182

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1

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1

0

1

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5

e975f0028fe007694a5b57fcc13393f4918ba02c

6,574

py

Python

tests/loaders/test_data_loader.py

huynhngoc/deoxys

b2e9936b723807e129fda36d8d6131ca00db558f

[ "MIT" ]

1

2021-12-28T15:48:45.000Z

tests/loaders/test_data_loader.py

huynhngoc/deoxys

b2e9936b723807e129fda36d8d6131ca00db558f

[ "MIT" ]

2

2020-06-26T11:03:53.000Z

2020-06-26T11:05:09.000Z

tests/loaders/test_data_loader.py

huynhngoc/deoxys

b2e9936b723807e129fda36d8d6131ca00db558f

[ "MIT" ]

null

# -*- coding: utf-8 -*- __author__ = "Ngoc Huynh Bao" __email__ = "ngoc.huynh.bao@nmbu.no" import pytest import h5py import os import numpy as np from deoxys.loaders import load_data from deoxys.customize import custom_preprocessor from deoxys.data import BasePreprocessor, HDF5Reader, H5Reader from deoxys.utils import read_file, load_json_config, Singleton def setup_data(): # Setup the hdf5 files data = np.arange(25000) data = np.reshape(data, (1000, 5, 5)) target = [1, 2, 3, 4, 5] * 200 return data, target def teardown(filename=''): if os.path.isfile(filename): os.remove(filename) @pytest.fixture(autouse=True) def clear_singleton(): Singleton._instances = {} # clear singleton @pytest.fixture(scope='module', autouse=True) def h5file(): # Create standardized h5 file with 10 folds, named fold_x filename = 'data.h5' data, target = setup_data() hf = h5py.File(filename, 'w') for i in range(10): start, end = i * 100, (i + 1) * 100 group = hf.create_group('fold_{0}'.format(i)) group.create_dataset('input', data=data[start: end]) group.create_dataset('target', data=target[start: end]) hf.close() yield filename teardown(filename) def check_equal_data_generator(actual, expected): assert actual.total_batch == expected.total_batch total_batch = actual.total_batch for i, (actual_batch, expected_batch) in enumerate( zip(actual.generate(), expected.generate())): if i >= total_batch: break assert np.all(actual_batch[0] == expected_batch[0]) assert np.all(actual_batch[1] == expected_batch[1]) def test_load_data(h5file): @custom_preprocessor class PlusOnePreprocessor(BasePreprocessor): def transform(self, x, y): return x + 1, y + 1 actual_dr = load_data(load_json_config( read_file('tests/json/dataset_config.json'))) expected_dr = HDF5Reader( filename=h5file, batch_size=8, preprocessors=PlusOnePreprocessor(), x_name='input', y_name='target', train_folds=[0, 1, 2], val_folds=[3], test_folds=[4, 5] ) assert isinstance(actual_dr, HDF5Reader) assert isinstance(actual_dr.preprocessors[0], PlusOnePreprocessor) actual_train_data = actual_dr.train_generator actual_val_data = actual_dr.val_generator actual_test_data = actual_dr.test_generator expected_train_data = expected_dr.train_generator expected_val_data = expected_dr.val_generator expected_test_data = expected_dr.test_generator check_equal_data_generator(actual_train_data, expected_train_data) check_equal_data_generator(actual_val_data, expected_val_data) check_equal_data_generator(actual_test_data, expected_test_data) def test_load_data_multi_preprocessor(h5file): @custom_preprocessor class PlusOnePreprocessor(BasePreprocessor): def transform(self, x, y): return x + 1, y + 1 actual_dr = load_data(load_json_config( read_file('tests/json/dataset_config_multi_preprocessor.json'))) expected_dr = HDF5Reader( filename=h5file, batch_size=8, preprocessors=[PlusOnePreprocessor(), PlusOnePreprocessor()], x_name='input', y_name='target', train_folds=[0, 1, 2], val_folds=[3], test_folds=[4, 5] ) assert isinstance(actual_dr, HDF5Reader) assert isinstance(actual_dr.preprocessors[0], PlusOnePreprocessor) assert isinstance(actual_dr.preprocessors[1], PlusOnePreprocessor) actual_train_data = actual_dr.train_generator actual_val_data = actual_dr.val_generator actual_test_data = actual_dr.test_generator expected_train_data = expected_dr.train_generator expected_val_data = expected_dr.val_generator expected_test_data = expected_dr.test_generator check_equal_data_generator(actual_train_data, expected_train_data) check_equal_data_generator(actual_val_data, expected_val_data) check_equal_data_generator(actual_test_data, expected_test_data) def test_load_h5_data(h5file): @custom_preprocessor class PlusOnePreprocessor(BasePreprocessor): def transform(self, x, y): return x + 1, y + 1 actual_dr = load_data(load_json_config( read_file('tests/json/h5_dataset_config.json'))) expected_dr = H5Reader( filename=h5file, batch_size=8, preprocessors=PlusOnePreprocessor(), x_name='input', y_name='target', train_folds=[0, 1, 2], val_folds=[3], test_folds=[4, 5] ) assert isinstance(actual_dr, H5Reader) assert isinstance(actual_dr.preprocessors[0], PlusOnePreprocessor) actual_train_data = actual_dr.train_generator actual_val_data = actual_dr.val_generator actual_test_data = actual_dr.test_generator expected_train_data = expected_dr.train_generator expected_val_data = expected_dr.val_generator expected_test_data = expected_dr.test_generator check_equal_data_generator(actual_train_data, expected_train_data) check_equal_data_generator(actual_val_data, expected_val_data) check_equal_data_generator(actual_test_data, expected_test_data) def test_load_h5_data_multi_preprocessor(h5file): @custom_preprocessor class PlusOnePreprocessor(BasePreprocessor): def transform(self, x, y): return x + 1, y + 1 actual_dr = load_data(load_json_config( read_file('tests/json/h5_dataset_config_multi_preprocessor.json'))) expected_dr = H5Reader( filename=h5file, batch_size=8, preprocessors=[PlusOnePreprocessor(), PlusOnePreprocessor()], x_name='input', y_name='target', train_folds=[0, 1, 2], val_folds=[3], test_folds=[4, 5] ) assert isinstance(actual_dr, H5Reader) assert isinstance(actual_dr.preprocessors[0], PlusOnePreprocessor) assert isinstance(actual_dr.preprocessors[1], PlusOnePreprocessor) actual_train_data = actual_dr.train_generator actual_val_data = actual_dr.val_generator actual_test_data = actual_dr.test_generator expected_train_data = expected_dr.train_generator expected_val_data = expected_dr.val_generator expected_test_data = expected_dr.test_generator check_equal_data_generator(actual_train_data, expected_train_data) check_equal_data_generator(actual_val_data, expected_val_data) check_equal_data_generator(actual_test_data, expected_test_data)

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0.02003

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0.191083

0

null

0

1

0

null

0

5

75653f7c13bcc8d527148e5b4beeb332e845b543

49

py

Python

vnpy/database/postgresql/__init__.py

cpu100/vnpy

32e4735a5166191e88dc445bf837963576cdef55

[ "MIT" ]

19

2021-12-17T12:09:53.000Z

2022-02-03T12:42:43.000Z

vnpy/database/postgresql/__init__.py

cpu100/vnpy

32e4735a5166191e88dc445bf837963576cdef55

[ "MIT" ]

1

2021-02-05T08:59:29.000Z

vnpy/database/postgresql/__init__.py

cpu100/vnpy

32e4735a5166191e88dc445bf837963576cdef55

[ "MIT" ]

10

2021-03-14T13:28:18.000Z

2022-02-18T13:38:17.000Z

from .postgresql_database import database_manager

49

0.918367

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49

7.166667

0.833333

0

0.061224

49

1

49

0.934783

0

1

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true

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1

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1

0

1

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1

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null

0

1

0

1

0

5

75b2905b5e161cab9ebd0fffd129e3e38c8d12b3

114

py

Python

DeterministicParticleFlowControl/utils/__init__.py

dimitra-maoutsa/DeterministicParticleFlowControl

106bc9b01d7a4888e4ded18c5fb5a989fe672386

[ "MIT" ]

6

2021-12-13T14:30:31.000Z

2022-01-24T07:54:57.000Z

DeterministicParticleFlowControl/utils/__init__.py

dimitra-maoutsa/DeterministicParticleFlowControl

106bc9b01d7a4888e4ded18c5fb5a989fe672386

[ "MIT" ]

10

2021-12-18T23:04:53.000Z

2022-02-05T02:06:34.000Z

DeterministicParticleFlowControl/utils/__init__.py

dimitra-maoutsa/DeterministicParticleFlowControl

106bc9b01d7a4888e4ded18c5fb5a989fe672386

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Created on Wed Jan 19 02:25:51 2022 @author: maout """ from .utils_pytorch import *

12.666667

35

0.622807

18

114

3.888889

1

0

0.141304

0.192982

114

9

36

12.666667

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0

1

0

true

0

1

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1

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1

0

null

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1

0

null

0

1

0

1

0

1

0

5

75c948b50ba28e36e9593f19e8a6248874adf3de

103

py

Python

pyPILOT.py

grobertson/pyPILOT

20e778fc1c3421e5c0012f609302bb160b37c57f

[ "MIT" ]

null

pyPILOT.py

grobertson/pyPILOT

20e778fc1c3421e5c0012f609302bb160b37c57f

[ "MIT" ]

null

pyPILOT.py

grobertson/pyPILOT

20e778fc1c3421e5c0012f609302bb160b37c57f

[ "MIT" ]

null

import argparse import os, sys, re from lang.core import Runtime from lang.helpers import Commands

20.6

33

0.786408

16

103

5.0625

0.6875

0.197531

0

0.174757

103

5

33

20.6

0.952941

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

75fb8bbd7839e06f271df3fa3fadd5c2840a258e

196

py

Python

ape_ledger/__init__.py

evanblank3/ape-ledger

83b15357715bc881d4c83349ee3b72f60bb8ba33

[ "Apache-2.0" ]

1

2022-01-23T06:30:45.000Z

ape_ledger/__init__.py

evanblank3/ape-ledger

83b15357715bc881d4c83349ee3b72f60bb8ba33

[ "Apache-2.0" ]

4

2021-11-07T19:38:02.000Z

2022-03-05T21:03:28.000Z

ape_ledger/__init__.py

evanblank3/ape-ledger

83b15357715bc881d4c83349ee3b72f60bb8ba33

[ "Apache-2.0" ]

2

2021-09-30T15:34:36.000Z

2021-12-22T00:12:58.000Z

from ape import plugins from ape_ledger.accounts import AccountContainer, LedgerAccount @plugins.register(plugins.AccountPlugin) def account_types(): return AccountContainer, LedgerAccount

21.777778

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196

7.666667

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0.086957

0

0.112245

196

8

64

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0

1

0.2

true

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0

null

0

1

0

null

0

1

0

1

0

5

75fe2feb2ff53eadf8bd82c18eab41feb23c6816

225

py

Python

backend/core/controllers/utilities.py

pahumadad/fittrack

6d27d8f5ba92a550cb3c327f0cc603a73e37fa89

[ "MIT" ]

null

backend/core/controllers/utilities.py

pahumadad/fittrack

6d27d8f5ba92a550cb3c327f0cc603a73e37fa89

[ "MIT" ]

null

backend/core/controllers/utilities.py

pahumadad/fittrack

6d27d8f5ba92a550cb3c327f0cc603a73e37fa89

[ "MIT" ]

null

from flask import Blueprint from flask.json import jsonify utilities = Blueprint("utilities", __name__) @utilities.route("/api/heartbeat/", methods=["GET"]) def heartbeat_state(): return jsonify({"status": "OK"}), 200

22.5

52

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225

5.851852

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0.113924

0

0.015152

0.12

225

9

53

25

0.782828

0

0.155556

0

1

0.166667

false

0

0.333333

0.166667

0.666667

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1

0

null

0

1

0

null

0

1

0

5

f9525797dd460f3289e0e9b48817722672603e3f

33

py

Python

settings/configuration.py

micbase/smartcontrol

64e7937db513ba1b12f945a4dd3f568d1bfd4925

[ "MIT" ]

null

settings/configuration.py

micbase/smartcontrol

64e7937db513ba1b12f945a4dd3f568d1bfd4925

[ "MIT" ]

null

settings/configuration.py

micbase/smartcontrol

64e7937db513ba1b12f945a4dd3f568d1bfd4925

[ "MIT" ]

null

from settings.dev_local import *

16.5

32

0.818182

5

33

5.2

1

0

0.121212

33

1

33

0.896552

0

1

0

true

0

1

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1

0

1

0

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1

0

null

0

1

0

1

0

5

f99cb58e6fc35aa6575935d79c4a2bbb8e0c241c

26

py

Python

fer_pytorch/face_detect/__init__.py

stoneyang159/fer_pytorch

32e0748a084a366c70da1d88608050544e56c4bf

[ "MIT" ]

4

2020-02-20T08:18:49.000Z

2020-12-14T03:41:33.000Z

fer_pytorch/face_detect/__init__.py

stoneyang159/fer_pytorch

32e0748a084a366c70da1d88608050544e56c4bf

[ "MIT" ]

2

2020-03-02T06:54:44.000Z

2020-03-03T01:13:26.000Z

fer_pytorch/face_detect/__init__.py

stoneyang159/fer_pytorch

32e0748a084a366c70da1d88608050544e56c4bf

[ "MIT" ]

3

2020-02-27T15:28:10.000Z

2020-12-22T08:21:10.000Z

from .mtcnn import MTCNN

26

0.769231

4

26

5

0.75

0

0.192308

26

1

26

0.952381

0

1

0

true

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1

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1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

dda4d6fd57262ea3e23de247e997324c944bf45d

33

py

Python

mlaas-fi/faults/__init__.py

filipefalcaos/mlaas-fi

2bb9c2d934b92c141cac39942c33f2bf78495c0c

[ "MIT" ]

null

mlaas-fi/faults/__init__.py

filipefalcaos/mlaas-fi

2bb9c2d934b92c141cac39942c33f2bf78495c0c

[ "MIT" ]

null

mlaas-fi/faults/__init__.py

filipefalcaos/mlaas-fi

2bb9c2d934b92c141cac39942c33f2bf78495c0c

[ "MIT" ]

null

from .faults import inject_fault

16.5

32

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33

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null

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0

null

0

1

0

1

0

5

dda5e7c3f15a69ab560181c4d377902fdcd607fb

50

py

Python

5-playsound-module/run.py

GunarakulanGunaretnam/three-minutes-programming-series

f13ff820ace4229a63f0355707fdfa6ef184e1d6

[ "Apache-2.0" ]

null

5-playsound-module/run.py

GunarakulanGunaretnam/three-minutes-programming-series

f13ff820ace4229a63f0355707fdfa6ef184e1d6

[ "Apache-2.0" ]

null

5-playsound-module/run.py

GunarakulanGunaretnam/three-minutes-programming-series

f13ff820ace4229a63f0355707fdfa6ef184e1d6

[ "Apache-2.0" ]

null

import playsound playsound.playsound("song.mp3")

12.5

31

0.8

6

50

6.666667

0.666667

0.9

0

0.021739

0.08

50

4

31

12.5

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0

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0

1

0

true

0

0.5

0

0.5

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1

0

1

0

null

0

1

0

1

0

5

ddf764b4e509281b9ac9887ff8d2acb85dd879d3

20

py

Python

diogenes/read/__init__.py

dssg/diogenes

52eda2a7adb22044e82779d05f91c927c1b95f3f

[ "MIT" ]

21

2015-09-28T15:04:53.000Z

2017-11-19T22:21:31.000Z

diogenes/read/__init__.py

dssg/diogenes

52eda2a7adb22044e82779d05f91c927c1b95f3f

[ "MIT" ]

28

2015-09-27T09:51:12.000Z

2021-11-08T17:26:39.000Z

diogenes/read/__init__.py

dssg/diogenes

52eda2a7adb22044e82779d05f91c927c1b95f3f

[ "MIT" ]

10

2015-11-21T19:50:14.000Z

2018-05-21T16:16:25.000Z

from read import *

6.666667

18

0.7

3

20

4.666667

1

0

0.25

20

2

19

10

0.933333

0

1

0

true

0

1

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1

0

null

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1

0

null

0

1

0

1

0

5

fb227383cb08ec71c17c1473a6759a9435b607a2

352

py

Python

01_SamplesFromPyalgotrade/23_Homework01/getData.py

UpSea/PyAlgoTradeMid

c8edcbc089d92dbfbb8bb25af92a039146f6c6da

[ "MIT" ]

null

01_SamplesFromPyalgotrade/23_Homework01/getData.py

UpSea/PyAlgoTradeMid

c8edcbc089d92dbfbb8bb25af92a039146f6c6da

[ "MIT" ]

null

01_SamplesFromPyalgotrade/23_Homework01/getData.py

UpSea/PyAlgoTradeMid

c8edcbc089d92dbfbb8bb25af92a039146f6c6da

[ "MIT" ]

1

2021-04-10T06:04:04.000Z

from pyalgotrade.tools import yahoofinance; yahoofinance.download_daily_bars('aeti', 2011, 'aeti-2011-yahoofinance.csv') yahoofinance.download_daily_bars('egan', 2011, 'egan-2011-yahoofinance.csv') yahoofinance.download_daily_bars('glng', 2011, 'glng-2011-yahoofinance.csv') yahoofinance.download_daily_bars('simo', 2011, 'simo-2011-yahoofinance.csv')

70.4

76

0.8125

45

352

6.177778

0.311111

0.28777

0.359712

0.417266

0.517986

0

0.095238

0.045455

352

5

77

70.4

0.732143

0

0.339943

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0

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0.2

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null

1

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1

0

null

0

1

0

5

fb36dad6a3f4bddc08b9baa3ed76ef33288ca098

52

py

Python

lib/airtable/exceptions.py

goztrk/django-htk

c56bf112e5d627780d2f4288460eae5cce80fa9e

[ "MIT" ]

206

2015-10-15T07:05:08.000Z

2021-02-19T11:48:36.000Z

lib/airtable/exceptions.py

goztrk/django-htk

c56bf112e5d627780d2f4288460eae5cce80fa9e

[ "MIT" ]

8

2017-10-16T10:18:31.000Z

2022-03-09T14:24:27.000Z

lib/airtable/exceptions.py

goztrk/django-htk

c56bf112e5d627780d2f4288460eae5cce80fa9e

[ "MIT" ]

61

2015-10-15T08:12:44.000Z

2022-03-10T12:25:06.000Z

class AirtableNoBaseConfigured(Exception): pass

17.333333

42

0.807692

4

52

10.5

1

0

0.134615

52

2

43

26

0.933333

0

1

0

true

0.5

0

0.5

0

1

0

1

null

0

1

0

null

0

1

0

5

348d272e6dff306be0541b637cc5673a8b489034

89

py

Python

cen/experiment/__init__.py

slabbaki/discriminative-subtyping

fc9ce91da79aa35360ad916db19cd73449344335

[ "Apache-2.0" ]

1

2021-11-05T16:20:16.000Z

cen/experiment/__init__.py

slabbaki/discriminative-subtyping

fc9ce91da79aa35360ad916db19cd73449344335

[ "Apache-2.0" ]

null

cen/experiment/__init__.py

slabbaki/discriminative-subtyping

fc9ce91da79aa35360ad916db19cd73449344335

[ "Apache-2.0" ]

null

from .crossval import cross_validate from .eval import evaluate from .train import train

22.25

36

0.831461

13

89

5.615385

0.615385

0

0.134831

89

3

37

29.666667

0.948052

0

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true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

34944b3fa7e3cc6165140b6797687891fdf9578f

81

py

Python

TrainingRestnet18withTinyImagenetDataset/src/train/__init__.py

csharpshooter/DeepLearning

c1d20660c32076468970f7376931e1fcd0d2644e

[ "MIT" ]

null

TrainingRestnet18withTinyImagenetDataset/src/train/__init__.py

csharpshooter/DeepLearning

c1d20660c32076468970f7376931e1fcd0d2644e

[ "MIT" ]

null

TrainingRestnet18withTinyImagenetDataset/src/train/__init__.py

csharpshooter/DeepLearning

c1d20660c32076468970f7376931e1fcd0d2644e

[ "MIT" ]

null

#models from .train_model import TrainModel from .trainhelper import TrainHelper

20.25

36

0.851852

10

81

6.8

0.7

0

0.111111

81

3

37

27

0.944444

0.074074

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

349d07a0053278dad811cfcb99c9da96cbfe612c

25,552

py

Python

build/lib/tests/test_calculate.py

kaylai/VESIcal

3ea18b0ce30b30fb55786346c37ef8f428ee5034

[ "MIT" ]

16

2020-06-22T09:07:32.000Z

2022-01-12T13:42:12.000Z

tests/test_calculate.py

kaylai/VESIcal

3ea18b0ce30b30fb55786346c37ef8f428ee5034

[ "MIT" ]

136

2020-05-22T21:43:23.000Z

2022-03-07T22:06:33.000Z

tests/test_calculate.py

kaylai/VESIcal

3ea18b0ce30b30fb55786346c37ef8f428ee5034

[ "MIT" ]

3

2021-05-18T08:21:02.000Z

2022-03-25T01:08:10.000Z

import unittest import VESIcal as v class TestDissolvedVolatiles(unittest.TestCase): def setUp(self): # Sample with units as wtpt_oxides self.majors_wtpt = {'SiO2': 47.95, 'TiO2': 1.67, 'Al2O3': 17.32, 'FeO': 10.24, 'Fe2O3': 0.1, 'MgO': 5.76, 'CaO': 10.93, 'Na2O': 3.45, 'K2O': 1.99, 'P2O5': 0.51, 'MnO': 0.1} # create Sample object and set default units to wtpt_oxides self.sample_wtpt = v.Sample(self.majors_wtpt) self.sample_wtpt.set_default_units("wtpt_oxides") # create sample and set default units to mol_oxides self.sample_molox = v.Sample(self.majors_wtpt) self.sample_molox.set_default_units("mol_oxides") # BatchFile with test sample as defined above in wtpt_oxides try: self.batch_wtpt = v.BatchFile('BatchTest.xlsx', units='wtpt_oxides') except: self.batch_wtpt = v.BatchFile('tests/BatchTest.xlsx', units='wtpt_oxides') self.batch_wtpt.set_default_units("wtpt_oxides") # BatchFile with test sample as defined above in mol_oxides try: self.batch_molox = v.BatchFile('BatchTest.xlsx') except: self.batch_molox = v.BatchFile('tests/BatchTest.xlsx') self.batch_molox.set_default_units("mol_oxides") # solubilities calculated with VESIcal in wt% and translated externally to mol fraction self.shishkinaMixed_wtpt = {'H2O_liq': 2.24019, 'CO2_liq': 0.028104173} self.shishkinaMixed_molox = {'H2O_liq': 0.07415139, 'CO2_liq': 0.000379788} self.dixonMixed_wtpt = {'H2O_liq': 2.06748958, 'CO2_liq': 0.035434893} self.dixonMixed_molox = {'H2O_liq': 0.0688214, 'CO2_liq': 0.000481216} self.iaconomarzianoMixed_wtpt = {'H2O_liq': 2.0853469, 'CO2_liq': 0.0500067} self.iaconomarzianoMixed_molox ={'H2O_liq': 0.0693591, 'CO2_liq': 0.000680900} self.liuMixed_wtpt = {'H2O_liq': 2.293923234, 'CO2_liq': 0.029485739} self.liuMixed_molox = {'H2O_liq': 0.075793677, 'CO2_liq': 0.000398905} self.magmasat_wtpt = {'H2O_liq': 1.982045999, 'CO2_liq': 0.044939669} self.magmasat_molox = {'H2O_liq': 0.06615768, 'CO2_liq': 0.000614167} self.allisonCarbon_wtpt = 0.06101661 self.allisonCarbon_molox = 0.00089276 self.allisonCarbon_sunset_wtpt = 0.03249080 self.allisonCarbon_sunset_molox = 0.00047558 self.allisonCarbon_sfvf_wtpt = 0.02660018 self.allisonCarbon_sfvf_molox = 0.00038939 self.allisonCarbon_erebus_wtpt = 0.03314730 self.allisonCarbon_erebus_molox = 0.00048519 self.allisonCarbon_vesuvius_wtpt = 0.06101661 self.allisonCarbon_vesuvius_molox = 0.00089276 self.allisonCarbon_etna_wtpt = 0.04799322 self.allisonCarbon_etna_molox = 0.00070234 self.allisonCarbon_stromboli_wtpt = 0.03216744 self.allisonCarbon_stromboli_molox = 0.00047085 self.mooreWater_wtpt = 2.24343860 self.mooreWater_molox = 0.07427734 self.mixed_dict = {"ShishkinaIdealMixing": {'wtpt_oxides': self.shishkinaMixed_wtpt, 'mol_oxides': self.shishkinaMixed_molox}, "Dixon" : {'wtpt_oxides': self.dixonMixed_wtpt, 'mol_oxides': self.dixonMixed_molox}, "IaconoMarziano" : {'wtpt_oxides': self.iaconomarzianoMixed_wtpt, 'mol_oxides': self.iaconomarzianoMixed_molox}, "Liu" : {'wtpt_oxides': self.liuMixed_wtpt, 'mol_oxides': self.liuMixed_molox}, "MagmaSat" : {'wtpt_oxides': self.magmasat_wtpt, 'mol_oxides': self.magmasat_molox} } self.nonmixed_dict = {"AllisonCarbon" : {'wtpt_oxides': self.allisonCarbon_wtpt, 'mol_oxides': self.allisonCarbon_molox}, "AllisonCarbon_sunset" : {'wtpt_oxides': self.allisonCarbon_sunset_wtpt, 'mol_oxides': self.allisonCarbon_sunset_molox}, 'AllisonCarbon_sfvf' : {'wtpt_oxides': self.allisonCarbon_sfvf_wtpt, 'mol_oxides': self.allisonCarbon_sfvf_molox}, 'AllisonCarbon_erebus' : {'wtpt_oxides': self.allisonCarbon_erebus_wtpt, 'mol_oxides': self.allisonCarbon_erebus_molox}, 'AllisonCarbon_vesuvius' : {'wtpt_oxides': self.allisonCarbon_vesuvius_wtpt, 'mol_oxides': self.allisonCarbon_vesuvius_molox}, 'AllisonCarbon_etna' : {'wtpt_oxides': self.allisonCarbon_etna_wtpt, 'mol_oxides': self.allisonCarbon_etna_molox}, 'AllisonCarbon_stromboli' : {'wtpt_oxides': self.allisonCarbon_stromboli_wtpt, 'mol_oxides': self.allisonCarbon_stromboli_molox}, 'MooreWater' : {'wtpt_oxides': self.mooreWater_wtpt, 'mol_oxides': self.mooreWater_molox}, } def test_calculate_single_wtpt_mixed(self): for model in self.mixed_dict.keys(): calcd_result = v.calculate_dissolved_volatiles(self.sample_wtpt, pressure=1000, temperature=1000, X_fluid=0.5, model=model, verbose=False).result known_result = self.mixed_dict[model]['wtpt_oxides'] for k in calcd_result.keys(): self.assertAlmostEqual(calcd_result[k], known_result[k], places=4) # def test_calculate_batch_wtpt_mixed(self): # for model in self.mixed_dict.keys(): # calcd_result = self.batch_wtpt.calculate_dissolved_volatiles(self.sample_wtpt, pressure=1000, temperature=1000, X_fluid=0.5, model=model, verbose=False).result # known_result = self.mixed_dict[model]['wtpt_oxides'] # for k in calcd_result.keys(): # self.assertAlmostEqual(calcd_result[k], known_result[k], places=4) def test_calculate_single__wtpt_nonmixed(self): for model in self.nonmixed_dict.keys(): calcd_result = v.calculate_dissolved_volatiles(self.sample_wtpt, pressure=1000, temperature=1000, X_fluid=0.5, model=model, verbose=False).result known_result = self.nonmixed_dict[model]['wtpt_oxides'] self.assertAlmostEqual(calcd_result, known_result, places=4) def test_calculate_single__molox_mixed(self): for model in self.mixed_dict.keys(): calcd_result = v.calculate_dissolved_volatiles(self.sample_molox, pressure=1000, temperature=1000, X_fluid=0.5, model=model, verbose=False).result known_result = self.mixed_dict[model]['mol_oxides'] for k in calcd_result.keys(): self.assertAlmostEqual(calcd_result[k], known_result[k], places=4) def test_calculate_single__molox_nonmixed(self): for model in self.nonmixed_dict.keys(): calcd_result = v.calculate_dissolved_volatiles(self.sample_molox, pressure=1000, temperature=1000, X_fluid=0.5, model=model, verbose=False).result known_result = self.nonmixed_dict[model]['mol_oxides'] self.assertAlmostEqual(calcd_result, known_result, places=4) class TestSaturationPressure(unittest.TestCase): def setUp(self): # Sample with units as wtpt_oxides self.majors_wtpt = {'SiO2': 47.95, 'TiO2': 1.67, 'Al2O3': 17.32, 'FeO': 10.24, 'Fe2O3': 0.1, 'MgO': 5.76, 'CaO': 10.93, 'Na2O': 3.45, 'K2O': 1.99, 'P2O5': 0.51, 'MnO': 0.1, 'H2O': 2.0, 'CO2': 0.1} # Set conditions of calculation self.temperature = 1000 # create Sample object and set default units to wtpt_oxides self.sample_wtpt = v.Sample(self.majors_wtpt) self.sample_wtpt.set_default_units("wtpt_oxides") # create sample and set default units to mol_oxides self.sample_molox = v.Sample(self.majors_wtpt) self.sample_molox.set_default_units("mol_oxides") # BatchFile with test sample as defined above in wtpt_oxides try: self.batch_wtpt = v.BatchFile('BatchTest.xlsx', units='wtpt_oxides') except: self.batch_wtpt = v.BatchFile('tests/BatchTest.xlsx', units='wtpt_oxides') self.batch_wtpt.set_default_units("wtpt_oxides") # BatchFile with test sample as defined above in mol_oxides try: self.batch_molox = v.BatchFile('BatchTest.xlsx') except: self.batch_molox = v.BatchFile('tests/BatchTest.xlsx') self.batch_molox.set_default_units("mol_oxides") # saturation pressures calculated with VESIcal self.shishkinaMixed = 1903.1192979127836 self.dixonMixed = 1847.1637265676327 self.iaconomarzianoMixed = 1437.268470833670 self.liuMixed = 2157.191497153953 self.magmasat = 1630 # Generated with MagmaSat app self.shishkinaCarbon = 1507.647195272281 self.dixonCarbon = 1375.61109469857 self.iaconomarzianoCarbon = 1215.0221712464863 self.allisonCarbon = 821.9428189121331 self.allisonCarbon_sunset = 1468.1852834512158 self.allisonCarbon_sfvf = 1728.744343059253 self.allisonCarbon_erebus = 1439.8801634549727 self.allisonCarbon_vesuvius = 821.9428189121331 self.allisonCarbon_etna = 1039.5129481979354 self.allisonCarbon_stromboli = 1472.5760950857439 self.liuCarbon = 2246.2067748765 self.shishkinaWater = 395.4721026237296 self.dixonWater = 431.1140172567279 self.iaconomarzianoWater = 459.7132843026062 self.mooreWater = 366.7939178950552 self.liuWater = 374.4357814145504 self.mixed_dict = {"ShishkinaIdealMixing": self.shishkinaMixed, "Dixon" : self.dixonMixed, "IaconoMarziano" : self.iaconomarzianoMixed, "Liu" : self.liuMixed, "MagmaSat" : self.magmasat } self.carbon_dict = {"ShishkinaCarbon" : self.shishkinaCarbon, "DixonCarbon" : self.dixonCarbon, "IaconoMarzianoCarbon" : self.iaconomarzianoCarbon, "AllisonCarbon" : self.allisonCarbon, "AllisonCarbon_sunset" : self.allisonCarbon_sunset, 'AllisonCarbon_sfvf' : self.allisonCarbon_sfvf, 'AllisonCarbon_erebus' : self.allisonCarbon_erebus, 'AllisonCarbon_vesuvius' : self.allisonCarbon_vesuvius, 'AllisonCarbon_etna' : self.allisonCarbon_etna, 'AllisonCarbon_stromboli' : self.allisonCarbon_stromboli, 'LiuCarbon' : self.liuCarbon } self.water_dict = {"ShishkinaWater" : self.shishkinaWater, "DixonWater" : self.dixonWater, "IaconoMarzianoWater" : self.iaconomarzianoWater, "MooreWater" : self.mooreWater, "LiuWater" : self.liuWater } def test_calculate_single_wtpt_mixed(self): for model in self.mixed_dict.keys(): calcd_result = v.calculate_saturation_pressure(self.sample_wtpt, temperature=self.temperature, model=model, verbose=False).result known_result = self.mixed_dict[model] self.assertAlmostEqual(calcd_result, known_result, places=4) def test_calculate_batch_wtpt_mixed(self): for model in self.mixed_dict.keys(): batch_result = self.batch_wtpt.calculate_saturation_pressure(temperature=self.temperature, model=model, verbose=True) calcd_result = batch_result['SaturationP_bars_VESIcal'].loc['test_samp'] known_result = self.mixed_dict[model] #print("Pi* wtpt = " + str(batch_result['PiStar_VESIcal'].loc['test_samp'])) self.assertAlmostEqual(calcd_result, known_result, places=4) def test_calculate_single_wtpt_carbon(self): for model in self.carbon_dict.keys(): calcd_result = v.calculate_saturation_pressure(self.sample_wtpt, temperature=self.temperature, model=model, verbose=False).result known_result = self.carbon_dict[model] self.assertAlmostEqual(calcd_result, known_result, places=4) def test_calculate_batch_wtpt_carbon(self): for model in self.carbon_dict.keys(): batch_result = self.batch_wtpt.calculate_saturation_pressure(temperature=self.temperature, model=model, verbose=False) calcd_result = batch_result['SaturationP_bars_VESIcal'].loc['test_samp'] known_result = self.carbon_dict[model] self.assertAlmostEqual(calcd_result, known_result, places=4) def test_calculate_single_wtpt_water(self): for model in self.water_dict.keys(): calcd_result = v.calculate_saturation_pressure(self.sample_wtpt, temperature=self.temperature, model=model, verbose=False).result known_result = self.water_dict[model] self.assertAlmostEqual(calcd_result, known_result, places=4) def test_calculate_batch_wtpt_water(self): for model in self.water_dict.keys(): batch_result = self.batch_wtpt.calculate_saturation_pressure(temperature=self.temperature, model=model, verbose=False) calcd_result = batch_result['SaturationP_bars_VESIcal'].loc['test_samp'] known_result = self.water_dict[model] self.assertAlmostEqual(calcd_result, known_result, places=4) def test_calculation_single_molox_mixed(self): for model in self.mixed_dict.keys(): calcd_result = v.calculate_saturation_pressure(self.sample_molox, temperature=self.temperature, model=model, verbose=False).result known_result = self.mixed_dict[model] self.assertAlmostEqual(calcd_result, known_result, places=4) def test_calculation_batch_molox_mixed(self): for model in self.mixed_dict.keys(): batch_result = self.batch_molox.calculate_saturation_pressure(temperature=self.temperature, model=model, verbose=True) calcd_result = batch_result['SaturationP_bars_VESIcal'].loc['test_samp'] known_result = self.mixed_dict[model] #print("Pi* molox = " + str(batch_result['PiStar_VESIcal'].loc['test_samp'])) self.assertAlmostEqual(calcd_result, known_result, places=4) def test_calculate_single_molox_carbon(self): for model in self.carbon_dict.keys(): calcd_result = v.calculate_saturation_pressure(self.sample_molox, temperature=self.temperature, model=model, verbose=False).result known_result = self.carbon_dict[model] self.assertAlmostEqual(calcd_result, known_result, places=4) def test_calculate_batch_molox_carbon(self): for model in self.carbon_dict.keys(): batch_result = self.batch_molox.calculate_saturation_pressure(temperature=self.temperature, model=model, verbose=False) calcd_result = batch_result['SaturationP_bars_VESIcal'].loc['test_samp'] known_result = self.carbon_dict[model] self.assertAlmostEqual(calcd_result, known_result, places=4) def test_calculate_single_molox_water(self): for model in self.water_dict.keys(): calcd_result = v.calculate_saturation_pressure(self.sample_molox, temperature=self.temperature, model=model, verbose=False).result known_result = self.water_dict[model] self.assertAlmostEqual(calcd_result, known_result, places=4) def test_calculate_batch_molox_water(self): for model in self.water_dict.keys(): batch_result = self.batch_molox.calculate_saturation_pressure(temperature=self.temperature, model=model, verbose=False) calcd_result = batch_result['SaturationP_bars_VESIcal'].loc['test_samp'] known_result = self.water_dict[model] self.assertAlmostEqual(calcd_result, known_result, places=4) class TestEquilibriumFluidComp(unittest.TestCase): def setUp(self): # Sample with units as wtpt_oxides self.majors_wtpt = {'SiO2': 47.95, 'TiO2': 1.67, 'Al2O3': 17.32, 'FeO': 10.24, 'Fe2O3': 0.1, 'MgO': 5.76, 'CaO': 10.93, 'Na2O': 3.45, 'K2O': 1.99, 'P2O5': 0.51, 'MnO': 0.1, 'H2O': 2.0, 'CO2': 0.1} # Set conditions of calculation self.temperature = 1000 self.pressure = 500 # create Sample object and set default units to wtpt_oxides self.sample_wtpt = v.Sample(self.majors_wtpt) self.sample_wtpt.set_default_units("wtpt_oxides") # create sample and set default units to mol_oxides self.sample_molox = v.Sample(self.majors_wtpt) self.sample_molox.set_default_units("mol_oxides") # equilibrium fluid comps calculated with VESIcal self.shishkinaMixed = {'H2O': 0.7158408854774682, 'CO2': 0.28415911452253184} self.dixonMixed = {'H2O': 0.7750859842655139, 'CO2': 0.2249140157344861} self.iaconomarzianoMixed = {'H2O': 0.8103088488568084, 'CO2': 0.18969115114319157} self.liuMixed = {'H2O': 0.7066707740811572, 'CO2': 0.2933292259188428} self.magmasat = {'CO2': 0.219354223233457, 'H2O': 0.780645776766543} self.shishkinaCarbon = 1.0 self.dixonCarbon = 1.0 self.iaconomarzianoCarbon = 1.0 self.allisonCarbon = 1.0 self.allisonCarbon_sunset = 1.0 self.allisonCarbon_sfvf = 1.0 self.allisonCarbon_erebus = 1.0 self.allisonCarbon_vesuvius = 1.0 self.allisonCarbon_etna = 1.0 self.allisonCarbon_stromboli = 1.0 self.liuCarbon = 0 self.shishkinaWater = 0.0 self.dixonWater = 0.0 self.iaconomarzianoWater = 0.0 self.mooreWater = 0.7002733835379757 self.liuWater = 0.758191771357082 self.mixed_dict = {"ShishkinaIdealMixing": self.shishkinaMixed, "Dixon" : self.dixonMixed, "IaconoMarziano" : self.iaconomarzianoMixed, "Liu" : self.liuMixed, "MagmaSat" : self.magmasat } self.carbon_dict = {"ShishkinaCarbon" : self.shishkinaCarbon, "DixonCarbon" : self.dixonCarbon, "IaconoMarzianoCarbon" : self.iaconomarzianoCarbon, "AllisonCarbon" : self.allisonCarbon, "AllisonCarbon_sunset" : self.allisonCarbon_sunset, 'AllisonCarbon_sfvf' : self.allisonCarbon_sfvf, 'AllisonCarbon_erebus' : self.allisonCarbon_erebus, 'AllisonCarbon_vesuvius' : self.allisonCarbon_vesuvius, 'AllisonCarbon_etna' : self.allisonCarbon_etna, 'AllisonCarbon_stromboli' : self.allisonCarbon_stromboli, 'LiuCarbon' : self.liuCarbon } self.water_dict = {"ShishkinaWater" : self.shishkinaWater, "DixonWater" : self.dixonWater, "IaconoMarzianoWater" : self.iaconomarzianoWater, "MooreWater" : self.mooreWater, "LiuWater" : self.liuWater } def test_calculate_wtpt_mixed(self): for model in self.mixed_dict.keys(): calcd_result = v.calculate_equilibrium_fluid_comp(self.sample_wtpt, temperature=self.temperature, pressure=self.pressure, model=model, verbose=False).result known_result = self.mixed_dict[model] for key in known_result.keys(): self.assertAlmostEqual(calcd_result[key], known_result[key], places=4) def test_calculate_wtpt_carbon(self): for model in self.carbon_dict.keys(): calcd_result = v.calculate_equilibrium_fluid_comp(self.sample_wtpt, temperature=self.temperature, pressure=self.pressure, model=model, verbose=False).result known_result = self.carbon_dict[model] self.assertAlmostEqual(calcd_result, known_result, places=4) def test_calculate_wtpt_water(self): for model in self.water_dict.keys(): calcd_result = v.calculate_equilibrium_fluid_comp(self.sample_wtpt, temperature=self.temperature, pressure=self.pressure, model=model, verbose=False).result known_result = self.water_dict[model] self.assertAlmostEqual(calcd_result, known_result, places=4) def test_calculation_molox_mixed(self): for model in self.mixed_dict.keys(): calcd_result = v.calculate_equilibrium_fluid_comp(self.sample_molox, temperature=self.temperature, pressure=self.pressure, model=model, verbose=False).result known_result = self.mixed_dict[model] for key in known_result.keys(): self.assertAlmostEqual(calcd_result[key], known_result[key], places=4) def test_calculate_molox_carbon(self): for model in self.carbon_dict.keys(): calcd_result = v.calculate_equilibrium_fluid_comp(self.sample_molox, temperature=self.temperature, pressure=self.pressure, model=model, verbose=False).result known_result = self.carbon_dict[model] self.assertAlmostEqual(calcd_result, known_result, places=4) def test_calculate_molox_water(self): for model in self.water_dict.keys(): calcd_result = v.calculate_equilibrium_fluid_comp(self.sample_molox, temperature=self.temperature, pressure=self.pressure, model=model, verbose=False).result known_result = self.water_dict[model] self.assertAlmostEqual(calcd_result, known_result, places=4) if __name__ == '__main__': unittest.main()

56.406181

173

0.562422

2,454

25,552

5.605949

0.095762

0.069201

0.043251

0.023406

0.750091

0.719343

0.718689

0.713455

0

0.069601

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25,552

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174

56.530973

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0.05886

0

0.634877

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0.079309

0.011615

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0.059946

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0.06812

false

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0.00545

0

0.081744

0

null

0

1

0

null

0

5

34e1950394529a3e858ce66cec530bad6bedce80

197

py

Python

lib/JumpScale/clients/itsyouonline/ClientFactory.py

Jumpscale/jumpscale_core8

f80ac9b1ab99b833ee7adb17700dcf4ef35f3734

[ "Apache-2.0" ]

8

2016-04-14T14:04:57.000Z

2020-06-09T00:24:34.000Z

lib/JumpScale/clients/itsyouonline/ClientFactory.py

Jumpscale/jumpscale_core8

f80ac9b1ab99b833ee7adb17700dcf4ef35f3734

[ "Apache-2.0" ]

418

2016-01-25T10:30:00.000Z

2021-09-08T12:29:13.000Z

lib/JumpScale/clients/itsyouonline/ClientFactory.py

Jumpscale/jumpscale_core8

f80ac9b1ab99b833ee7adb17700dcf4ef35f3734

[ "Apache-2.0" ]

9

2016-04-21T07:21:17.000Z

2022-01-24T10:35:54.000Z

from JumpScale.clients.itsyouonline import Client class ClientFactory: def __init__(self): self.__jslocation__ = 'j.clients.itsyouonline' def get(self): return Client()

17.909091

54

0.695431

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197

6.142857

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0.294574

0

0.218274

197

10

55

19.7

0.837662

0

0.111675

0

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0.333333

false

0

0.166667

0.833333

0

1

0

null

1

0

null

0

1

0

1

0

5

550acd72ca7ac10e0f8ebb55e0a30f40ba38f065

18

py

Python

tests/test_nodegraph.py

florianeinfalt/nodegraph

fa117f069bd618d5aa98dfc62f3ce88acc5c77b2

[ "Apache-2.0" ]

1

2018-07-10T09:29:04.000Z

tests/test_nodegraph.py

florianeinfalt/nodegraph

fa117f069bd618d5aa98dfc62f3ce88acc5c77b2

[ "Apache-2.0" ]

null

tests/test_nodegraph.py

florianeinfalt/nodegraph

fa117f069bd618d5aa98dfc62f3ce88acc5c77b2

[ "Apache-2.0" ]

null

# nodegraph tests

9

17

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null

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null

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null

0

1

0

1

0

null

0

1

0

5

550cfef0e1c05ad7387f14a9f99f66729950a988

104

py

Python

07.py

takeoverjp/nlp100

58c677fb9121f8e0b8deb54458a8b54db13aa014

[ "MIT" ]

null

07.py

takeoverjp/nlp100

58c677fb9121f8e0b8deb54458a8b54db13aa014

[ "MIT" ]

null

07.py

takeoverjp/nlp100

58c677fb9121f8e0b8deb54458a8b54db13aa014

[ "MIT" ]

null

#!/usr/bin/python3 def temp(x, y, z): return "{}時の{}は{}".format(x, y, z) print(temp(12, "気温", 22.4))

17.333333

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104

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0.105263

0

0.067416

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5

37

20.8

0.573034

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false

0

0.333333

0.666667

0.333333

1

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null

0

1

0

null

0

1

0

1

0

5

9b4fde69d1d2725bb36b6883b6869003e02c090e

113

py

Python

test.py

chand1012/logdna-xml-transcriber

efc665b10a35e4c728a0362ad5fe208943b23097

[ "MIT" ]

1

2020-10-14T16:09:35.000Z

test.py

chand1012/logdna-xml-transcriber

efc665b10a35e4c728a0362ad5fe208943b23097

[ "MIT" ]

null

test.py

chand1012/logdna-xml-transcriber

efc665b10a35e4c728a0362ad5fe208943b23097

[ "MIT" ]

null

from feed import generate_feed from dna import get_logs logs = get_logs() feed = generate_feed(logs) print(feed)

18.833333

30

0.79646

19

113

4.526316

0.421053

0.27907

0

0.132743

113

6

31

18.833333

0.877551

0

1

0

1

0

false

0

0.4

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0.4

0.2

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0

null

1

0

1

0

1

0

null

0

1

0

5

9b93b3ef3b25c4447d07e04d00f186a70b85747e

1,049

py

Python

main/settings/rest.py

ruslankrivoshein/django-rest-framework-project-skeleton-example

477fbd2bfce0c30c1b8b0fd725f99bcdde5cbb8c

[ "MIT" ]

null

main/settings/rest.py

ruslankrivoshein/django-rest-framework-project-skeleton-example

477fbd2bfce0c30c1b8b0fd725f99bcdde5cbb8c

[ "MIT" ]

8

2021-03-18T23:06:15.000Z

2021-11-10T11:50:08.000Z

main/settings/rest.py

ruslankrivoshein/django-rest-framework-project-skeleton-example

477fbd2bfce0c30c1b8b0fd725f99bcdde5cbb8c

[ "MIT" ]

null

REST_FRAMEWORK = { 'PAGE_SIZE': 10, 'DEFAULT_PAGINATION_CLASS': 'rest_framework_json_api.pagination.JsonApiPageNumberPagination', 'DEFAULT_METADATA_CLASS': 'rest_framework_json_api.metadata.JSONAPIMetadata', 'DEFAULT_FILTER_BACKENDS': ( 'rest_framework_json_api.filters.QueryParameterValidationFilter', 'rest_framework_json_api.filters.OrderingFilter', 'rest_framework_json_api.django_filters.DjangoFilterBackend', 'rest_framework.filters.SearchFilter', ), 'DEFAULT_PARSER_CLASSES': ( 'rest_framework_json_api.parsers.JSONParser', 'rest_framework.parsers.FormParser', 'rest_framework.parsers.MultiPartParser' ), 'EXCEPTION_HANDLER': 'rest_framework_json_api.exceptions.exception_handler', 'SEARCH_PARAM': 'filter[search]', 'TEST_REQUEST_RENDERER_CLASSES': ( 'rest_framework_json_api.renderers.JSONRenderer', ), 'TEST_REQUEST_DEFAULT_FORMAT': 'vnd.api+json', } JSON_API_FORMAT_FIELD_NAMES = 'camelize' JSON_API_FORMAT_TYPES = 'camelize'

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6.850467

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1,049

25

98

41.96

0.814939

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0.125

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1

0

false

0

null

1

0

1

null

0

5

9ba1117915748e046bdf5f5cc70a98a7e021a224

79

py

Python

functions/runtimes-scenarios/python/pythonfunction/handler.py

mabuaisha/terraform-openstack-faas-nomad

d2315e9f8f0700b3db967e385cb804f08902037e

[ "Apache-2.0" ]

null

functions/runtimes-scenarios/python/pythonfunction/handler.py

mabuaisha/terraform-openstack-faas-nomad

d2315e9f8f0700b3db967e385cb804f08902037e

[ "Apache-2.0" ]

null

functions/runtimes-scenarios/python/pythonfunction/handler.py

mabuaisha/terraform-openstack-faas-nomad

d2315e9f8f0700b3db967e385cb804f08902037e

[ "Apache-2.0" ]

null

def handle(event, context): return "Hello From Python Serverless Function"

26.333333

50

0.759494

10

79

6

1

0

0.164557

79

2

51

39.5

0.909091

0

0.468354

0

1

0.5

false

0

0.5

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

32e0e2441f1a059be9c69d68a30221e67fb95092

62

py

Python

prom2teams/exceptions.py

lindhor/prom2teams

32d632f1f8d3d827c5cbba5440b5e3885fddd128

[ "Apache-2.0" ]

null

prom2teams/exceptions.py

lindhor/prom2teams

32d632f1f8d3d827c5cbba5440b5e3885fddd128

[ "Apache-2.0" ]

null

prom2teams/exceptions.py

lindhor/prom2teams

32d632f1f8d3d827c5cbba5440b5e3885fddd128

[ "Apache-2.0" ]

null

class MissingConnectorConfigKeyException(Exception): pass

20.666667

52

0.83871

4

62

13

1

0

0.112903

62

2

53

31

0.945455

0

1

0

true

0.5

0

0.5

0

1

0

1

null

0

1

0

null

0

1

0

5

32f47d11aeb45b72fad50b085358a1c48415112a

97

py

Python

providers/jd.py

AzusaChino/iris-python

92aa6bf23d5bf8f2ac4f3d2b0ee5f36e177d97d2

[ "MIT" ]

null

providers/jd.py

AzusaChino/iris-python

92aa6bf23d5bf8f2ac4f3d2b0ee5f36e177d97d2

[ "MIT" ]

null

providers/jd.py

AzusaChino/iris-python

92aa6bf23d5bf8f2ac4f3d2b0ee5f36e177d97d2

[ "MIT" ]

null

from providers import Provider class Jd(Provider): def __init__(self) -> None: pass

16.166667

31

0.670103

12

97

5.083333

0.916667

0

0.247423

97

6

32

16.166667

0.835616

0

1

0.25

false

0.25

0

0.75

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

fd05c3d41448c66518c67edab4b9da2da4bd3ff0

983

py

Python

util/printer.py

doronfeldman/python-101

a1c7658e0871d161e869ac367b5289917ffac419

[ "MIT" ]

null

util/printer.py

doronfeldman/python-101

a1c7658e0871d161e869ac367b5289917ffac419

[ "MIT" ]

null

util/printer.py

doronfeldman/python-101

a1c7658e0871d161e869ac367b5289917ffac419

[ "MIT" ]

null

from colorama import init, Fore, Back, Style init(autoreset=True) def print_red(message): print(f'{Style.BRIGHT}{Fore.RED}{message}') def print_blue(message): print(f'{Style.BRIGHT}{Fore.BLUE}{message}') def print_cyan(message): print(f'{Style.BRIGHT}{Fore.CYAN}{message}') def print_explanation(message): print_cyan(message) def print_green(message): print(f'{Style.BRIGHT}{Fore.GREEN}{message}') def print_magenta(message): print(f'{Style.BRIGHT}{Fore.MAGENTA}{message}') def print_runtime(message): print_magenta(message) def print_yellow(message): print(f'{Style.BRIGHT}{Fore.YELLOW}{message}') def print_code(message): print_yellow(message) def print_white(message): print(f'{Style.BRIGHT}{Fore.WHITE}{message}') def show_off(message): print_red(message) print_blue(message) print_explanation(message) print_green(message) print_runtime(message) print_code(message) print_white(message)

18.203704

51

0.71414

133

983

5.120301

0.195489

0.299559

0.198238

0.185022

0.287812

0

0.140387

983

53

52

18.54717

0.805917

0

0.24822

0

1

0.366667

false

0

0.033333

0

0.4

0.9

0

null

1

0

null

0

1

0

1

0

5

fd245887ca3b5f1f0c3bca79eb6efe8ad94cf7f5

275

py

Python

lib/computing_flow_layer/computing_flow_op.py

aditya2592/PoseCNN

a763120ce0ceb55cf3432980287ef463728f8052

[ "MIT" ]

655

2018-03-21T19:55:45.000Z

2022-03-25T20:41:21.000Z

lib/computing_flow_layer/computing_flow_op.py

SergioRAgostinho/PoseCNN

da9eaae850eed7521a2a48a4d27474d655caab42

[ "MIT" ]

122

2018-04-04T13:57:49.000Z

2022-03-18T09:28:44.000Z

lib/computing_flow_layer/computing_flow_op.py

SergioRAgostinho/PoseCNN

da9eaae850eed7521a2a48a4d27474d655caab42

[ "MIT" ]

226

2018-03-22T01:40:04.000Z

2022-03-17T11:56:14.000Z

import tensorflow as tf import os.path as osp filename = osp.join(osp.dirname(__file__), 'computing_flow.so') _computing_flow_module = tf.load_op_library(filename) compute_flow = _computing_flow_module.computeflow compute_flow_grad = _computing_flow_module.computeflow_grad

34.375

63

0.847273

40

275

5.325

0.525

0.244131

0.267606

0.28169

0

0.08

275

7

64

39.285714

0.841897

0

0.061818

0

1

0

false

0

0.333333

0

0.333333

0

null

1

0

1

0

null

0

1

0

5

fd2e8cd7ecd1b26ed79a15a422b35f18314a9d6f

43

py

Python

python/c572.py

doyansu/zerojugde

5c7be25c88224ae64ab93c0f52127a9a97d180e8

[ "MIT" ]

2

2021-09-16T22:28:47.000Z

2021-09-17T00:24:40.000Z

python/c572.py

doyansu/zerojugde

5c7be25c88224ae64ab93c0f52127a9a97d180e8

[ "MIT" ]

null

python/c572.py

doyansu/zerojugde

5c7be25c88224ae64ab93c0f52127a9a97d180e8

[ "MIT" ]

1

2021-12-14T04:08:13.000Z

def main(): print('Hello CIA!') main()

10.75

23

0.55814

6

43

4

0.833333

0

0.209302

43

4

24

10.75

0.705882

0

0.227273

0

1

0.333333

true

0

0.333333

1

0

null

0

1

0

null

0

1

0

5

fd32b6f0116cf650b9b705804fef345985be5fbd

36

py

Python

rest_friendship/tests/test_serializer.py

Visitey/Visitey-Server

e91c0ac52e943af9a739c42a6a3fe8603994c6b6

[ "MIT" ]

1

2018-06-06T09:46:00.000Z

rest_friendship/tests/test_serializer.py

Visitey/Visitey-Server

e91c0ac52e943af9a739c42a6a3fe8603994c6b6

[ "MIT" ]

null

rest_friendship/tests/test_serializer.py

Visitey/Visitey-Server

e91c0ac52e943af9a739c42a6a3fe8603994c6b6

[ "MIT" ]

null

# No methods in serializers for now

18

35

0.777778

6

36

4.666667

1

0

0.194444

36

1

36

0.965517

0.916667

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null

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1

0

1

0

null

0

1

0

5

fd46a3d86a2825eae6ec2a45e22504aa9210d223

2,969

py

Python

coms/src/mapmerge/keypoint_merge.py

tylerferrara/coms

5070b65836f0ff3538f787e4cbe46203355270ea

[ "MIT" ]

null

coms/src/mapmerge/keypoint_merge.py

tylerferrara/coms

5070b65836f0ff3538f787e4cbe46203355270ea

[ "MIT" ]

5

2022-02-11T00:22:24.000Z

2022-02-15T01:31:28.000Z

coms/src/mapmerge/keypoint_merge.py

tylerferrara/coms

5070b65836f0ff3538f787e4cbe46203355270ea

[ "MIT" ]

null

# TODO @cjmclaughlin further exception handling and fault detection (through sampling/ensemble method) import numpy as np import cv2 from mapmerge.constants import * from mapmerge.merge_utils import blur_map, apply_warp, distance_transform, median_filter, pad_maps def sift_mapmerge(map1, map2, transform=False): map1, map2 = pad_maps(map1, map2) try: sift = cv2.SIFT_create() merge_map1 = median_filter(blur_map(distance_transform(map1))) if transform else map1 merge_map2 = median_filter(blur_map(distance_transform(map2))) if transform else map2 kp1, desc1 = sift.detectAndCompute(merge_map1, None) # TODO eval with and without blur kp2, desc2 = sift.detectAndCompute(merge_map2, None) index_params = dict(algorithm=0, trees=5) search_params = dict() flann = cv2.FlannBasedMatcher(index_params, search_params) matches = flann.knnMatch(desc1, desc2, k=2) good_matches = [] for m, n in matches: # lowes ratio if m.distance < 0.75 * n.distance: good_matches.append(m) src_pts = np.float32([kp1[m.queryIdx].pt for m in good_matches]).reshape(-1, 1, 2) dst_pts = np.float32([kp2[m.trainIdx].pt for m in good_matches]).reshape(-1, 1, 2) M, mask = cv2.estimateAffine2D(dst_pts, src_pts, confidence=0.999, ransacReprojThreshold=5.0, refineIters=30) return apply_warp(map2, M), M except: # failed merge print("MERGE FAILED: Returning Original Map") return np.ones_like(map2, dtype=np.uint8) * UNKNOWN def orb_mapmerge(map1, map2, transform=False): map1, map2 = pad_maps(map1, map2) try: orb = cv2.ORB_create(nfeatures=1500, ) merge_map1 = median_filter(blur_map(distance_transform(map1))) if transform else map1 merge_map2 = median_filter(blur_map(distance_transform(map2))) if transform else map2 kp1, desc1 = orb.detectAndCompute(merge_map1, None) kp2, desc2 = orb.detectAndCompute(merge_map2, None) index_params = dict(algorithm=6, table_number=12, key_size=10, multi_probe_level=2) search_params = dict() flann = cv2.FlannBasedMatcher(index_params, search_params) matches = flann.knnMatch(desc1, desc2, k=2) good_matches = [] for m, n in matches: # use slightly higher ratio for ORB if m.distance < 0.8 * n.distance: good_matches.append(m) src_pts = np.float32([kp1[m.queryIdx].pt for m in good_matches]).reshape(-1, 1, 2) dst_pts = np.float32([kp2[m.trainIdx].pt for m in good_matches]).reshape(-1, 1, 2) M, mask = cv2.estimateAffine2D(dst_pts, src_pts, confidence=0.999, ransacReprojThreshold=5.0, refineIters=30) return apply_warp(map2, M), M except: # failed merge print("MERGE FAILED: Returning Original Map") return np.ones_like(map2, dtype=np.uint8) * UNKNOWN

47.126984

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null

0

1

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5

fd5d9bffe2ff0f0061b422e27877a390f60739ab

2,422

py

Python

10. circle/circle_solutions.py

jeury301/python-morsels

fdbe0b1c80120e2d1388808816538fea5dab8892

[ "MIT" ]

2

2018-08-21T10:29:57.000Z

2019-04-17T07:05:17.000Z

10. circle/circle_solutions.py

jeury301/python-morsels

fdbe0b1c80120e2d1388808816538fea5dab8892

[ "MIT" ]

null

10. circle/circle_solutions.py

jeury301/python-morsels

fdbe0b1c80120e2d1388808816538fea5dab8892

[ "MIT" ]

null

class V0Circle: """Circle with radius, area, diameter. This answer doesn't really work. Missing two features: - Default radius to 1 - Nice string representation """ def __init__(self, radius): self.radius = radius self.area = math.pi * self.radius ** 2 self.diameter = self.radius * 2 class V1Circle: """Circle with radius, area, diameter. Adding the string representation. Using 'f' for string formatting is only available in python3. Defaulting radius to 1. """ def __init__(self, radius=1): self.radius = radius self.area = math.pi * self.radius ** 2 self.diameter = self.radius * 2 def __repr__(self): return f'Circle({self.radius})' class V2Circle: """Circle with radius, area, and diameter. Making area and diamter a property. """ def __init__(self, radius=1): self.radius = radius def __repr__(self): return f'Circle({self.radius})' @property def area(self): return math.pi * self.radius ** 2 @property def diameter(self): return self.radius * 2 class V3Circle: """Circle with radius, area, and diameter. Updating radius when updating the diameter. Adding a setter to the diameter property. """ def __init__(self, radius=1): self.radius = radius def __repr__(self): return f'Circle({self.radius})' @property def area(self): return math.pi * self.radius ** 2 @property def diameter(self): return self.radius * 2 @diameter.setter def diameter(self, diameter): self.radius = diameter / 2 class V4Circle: """Circle with radius, area, and diameter. Making radius a property. Raising exception for negative values. """ def __init__(self, radius=1): self.radius = radius def __repr__(self): return f'Circle({self.radius})' @property def area(self): return math.pi * self.radius ** 2 @property def diameter(self): return self.radius * 2 @diameter.setter def diameter(self, diameter): self.radius = diameter / 2 @property def radius(self): return self._radius @radius.setter def radius(self, radius): if radius < 0: raise ValueError("Radius cannot be negative") self._radius = radius

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1

0

1

0

null

0

1

0

1

0

5

fd6352b61d0eb377d2660e8f40b9febb40789245

84

py

Python

wikiSite/wikiPage/admin.py

Humein/WikiList

cf97e3bd688ef4e727943bd184e929d9a0edc883

[ "MIT" ]

2

2020-04-26T01:41:31.000Z

2021-07-16T07:49:50.000Z

wikiSite/wikiPage/admin.py

Humein/WikiList

cf97e3bd688ef4e727943bd184e929d9a0edc883

[ "MIT" ]

null

wikiSite/wikiPage/admin.py

Humein/WikiList

cf97e3bd688ef4e727943bd184e929d9a0edc883

[ "MIT" ]

null

from django.contrib import admin from .models import WiKi admin.site.register(WiKi)

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0.107143

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null

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1

0

1

0

1

0

5

b5d15a94bb69b396d39b09770152c14ae58b3df6

150

py

Python

src/players/difference_plus.py

johnjajeh/Sage

e6f7578eb3c077f6eae87c269511a6ccf42842a6

[ "MIT" ]

null

src/players/difference_plus.py

johnjajeh/Sage

e6f7578eb3c077f6eae87c269511a6ccf42842a6

[ "MIT" ]

null

src/players/difference_plus.py

johnjajeh/Sage

e6f7578eb3c077f6eae87c269511a6ccf42842a6

[ "MIT" ]

null

from players.player import Player class PlayerDifferencePlus(Player): def play(self, low: int, high: int) -> int: return high - low + 1;

25

47

0.673333

20

150

5.05

0.7

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0.008547

0.22

150

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1

0.25

false

0

0.25

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

b5d256b081cea68012bb33a9458a8d0585a33dc6

95

py

Python

server/src/testing/testing_message.py

JWen00/socket_chatting

d69cb58056a34118a245cbd39c51e61a77168d28

[ "MIT" ]

1

2020-04-16T08:01:05.000Z

server/src/testing/testing_message.py

JWen00/socket_chatting

d69cb58056a34118a245cbd39c51e61a77168d28

[ "MIT" ]

null

server/src/testing/testing_message.py

JWen00/socket_chatting

d69cb58056a34118a245cbd39c51e61a77168d28

[ "MIT" ]

null

# Test: user doesn't exist # Test: User offline # Test: User Blocked # Test: user online

13.571429

27

0.663158

14

95

4.5

0.571429

0.507937

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0.242105

95

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28

13.571429

0.875

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null

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0

1

0

1

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null

0

1

0

5

b5e959da7e2709292de82ff320cf72a3ca7ceab3

210

py

Python

build/lib/vibhaga/__init__.py

keremkoseoglu/vibhaga

6978ff55e5a6e945098e7127ce49cfef4b0747d0

[ "MIT" ]

null

build/lib/vibhaga/__init__.py

keremkoseoglu/vibhaga

6978ff55e5a6e945098e7127ce49cfef4b0747d0

[ "MIT" ]

3

2020-06-09T04:20:48.000Z

2022-03-31T12:44:59.000Z

vibhaga/__init__.py

keremkoseoglu/vibhaga

6978ff55e5a6e945098e7127ce49cfef4b0747d0

[ "MIT" ]

null

""" Vibhaga initialization module """ from os import path from sys import modules def get_root_path() -> str: """ Returns the root path of Vibhaga """ return path.dirname(modules['__main__'].__file__)

26.25

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210

4.964286

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210

7

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null

0

1

0

1

0

5

b5ff9fb6cc5e7c287c0e1607b40d81cc3b0c34a6

92

py

Python

app/auth/__init__.py

Timoh97/TUK-SMAS-FLASK-APP

3bdb1a37a1c1f441e4116551ae6ad05ef4f566d8

[ "MIT" ]

null

app/auth/__init__.py

Timoh97/TUK-SMAS-FLASK-APP

3bdb1a37a1c1f441e4116551ae6ad05ef4f566d8

[ "MIT" ]

null

app/auth/__init__.py

Timoh97/TUK-SMAS-FLASK-APP

3bdb1a37a1c1f441e4116551ae6ad05ef4f566d8

[ "MIT" ]

null

from flask import Blueprint main = Blueprint('auth', __name__) from . import views,forms

18.4

34

0.75

12

92

5.416667

0.75

0

0.163043

92

5

35

18.4

0.844156

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1

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false

0

0.666667

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0.666667

1

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null

0

1

0

null

0

1

0

1

0

5

950ed3a4a8249d6b09ca04acf80fd606009b8b07

57

py

Python

omnipath/requests.py

TheAustinator/omnipath

c0d61216e3a7d95cdb098ac025f08a9b09e0f8fe

[ "MIT" ]

13

2020-12-02T15:47:54.000Z

2022-03-08T02:39:55.000Z

omnipath/requests.py

TheAustinator/omnipath

c0d61216e3a7d95cdb098ac025f08a9b09e0f8fe

[ "MIT" ]

15

2020-11-10T13:03:09.000Z

2022-03-29T08:51:38.000Z

omnipath/requests.py

michalk8/omnipath

014ddf046d07ad16ce722e2280b39796598ca9a8

[ "MIT" ]

2

2020-11-06T23:08:19.000Z

2022-03-28T21:46:33.000Z

from omnipath._core.requests import * # noqa: F401 F403

28.5

56

0.754386

8

57

5.25

1

0

0.125

0.157895

57

1

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0.75

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0

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true

0

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null

0

1

0

1

0

1

0

5

951ee7042b739ce27a7a794869f38d8ab5b93809

209

py

Python

project_alphavantage/config/base.py

leonardomarcao/projecto-alphavantage

ce46065c7bcb01298867c5ed8562d5a73e0b69fe

[ "MIT" ]

null

project_alphavantage/config/base.py

leonardomarcao/projecto-alphavantage

ce46065c7bcb01298867c5ed8562d5a73e0b69fe

[ "MIT" ]

6

2020-02-16T21:05:51.000Z

2020-02-17T03:23:56.000Z

project_alphavantage/config/base.py

leonardomarcao/projecto-alphavantage

ce46065c7bcb01298867c5ed8562d5a73e0b69fe

[ "MIT" ]

1

2020-02-17T16:03:47.000Z

from .settings import * from os.path import join ALPHA_VANTAGE_API_URL = env('alpha_vantage_api_url') DATABASE_PATH = join(BASE_DIR, env('database_name')) ALPHA_VANTAGE_API_KEY = env('alpha_vantage_api_key')

29.857143

52

0.808612

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209

4.529412

0.470588

0.311688

0.38961

0.233766

0

0.090909

209

6

53

34.833333

0.810526

0

0.263158

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0

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false

0

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0.4

0

null

1

0

1

0

null

0

1

0

5

20fb44b57d7ca2f5a4072fa12316138025255e5e

28

py

Python

PfsenseFauxapi/__version__.py

nefeli/pfsense_fauxapi_client_python

8e706e275232ef0ffd753fda16887299d5092ead

[ "Apache-2.0" ]

11

2019-07-16T16:11:33.000Z

2021-04-06T04:50:10.000Z

PfsenseFauxapi/__version__.py

nefeli/pfsense_fauxapi_client_python

8e706e275232ef0ffd753fda16887299d5092ead

[ "Apache-2.0" ]

6

2019-05-14T17:25:50.000Z

2021-09-27T15:01:09.000Z

PfsenseFauxapi/__version__.py

nefeli/pfsense_fauxapi_client_python

8e706e275232ef0ffd753fda16887299d5092ead

[ "Apache-2.0" ]

12

2019-04-04T12:54:29.000Z

2021-08-24T06:09:51.000Z

__version__ = '20200718.2'

9.333333

26

0.714286

3

28

5.333333

1

0

0.375

0.142857

28

2

27

14

0.291667

0

0.37037

0

1

0

false

0

1

0

null

0

1

0

1

0

1

0

null

0

5

1f10711d8baed7e89a340b280ac6c50677d621df

258

py

Python

pairing_matrix/client/gitlab_client.py

iilei/pairing_matrix

8fb646720c914ff37c1f6a59ad68680fb5130175

[ "BSD-3-Clause" ]

null

pairing_matrix/client/gitlab_client.py

iilei/pairing_matrix

8fb646720c914ff37c1f6a59ad68680fb5130175

[ "BSD-3-Clause" ]

null

pairing_matrix/client/gitlab_client.py

iilei/pairing_matrix

8fb646720c914ff37c1f6a59ad68680fb5130175

[ "BSD-3-Clause" ]

null

from . import BaseClient # from gitlab import Gitlab class GitlabClient(BaseClient): def __init__(self, timespan, **kwargs): self.base = BaseClient.__init__(self, timespan, **kwargs) # def instantiate_client(self): # g = Gitlab()

21.5

65

0.674419

28

258

5.892857

0.535714

0.09697

0.193939

0.266667

0

0.213178

258

11

66

23.454545

0.812808

0.27907

0

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0.25

false

0

0.25

0

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0

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null

0

1

0

null

0

1

0

1

0

5

1f1f1709f9e06901bff5a23fbcbb6f992f2ac59a

1,495

py

Python

plugins/recorded_future/komand_recorded_future/actions/__init__.py

lukaszlaszuk/insightconnect-plugins

8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892

[ "MIT" ]

46

2019-06-05T20:47:58.000Z

2022-03-29T10:18:01.000Z

plugins/recorded_future/komand_recorded_future/actions/__init__.py

lukaszlaszuk/insightconnect-plugins

8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892

[ "MIT" ]

386

2019-06-07T20:20:39.000Z

2022-03-30T17:35:01.000Z

plugins/recorded_future/komand_recorded_future/actions/__init__.py

lukaszlaszuk/insightconnect-plugins

8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892

[ "MIT" ]

43

2019-07-09T14:13:58.000Z

2022-03-28T12:04:46.000Z

# GENERATED BY KOMAND SDK - DO NOT EDIT from .download_IP_addresses_risk_list.action import DownloadIPAddressesRiskList from .download_domain_risk_list.action import DownloadDomainRiskList from .download_hash_risk_list.action import DownloadHashRiskList from .download_url_risk_list.action import DownloadUrlRiskList from .download_vulnerability_risk_list.action import DownloadVulnerabilityRiskList from .list_IP_addresses_risk_rules.action import ListIPAddressesRiskRules from .list_domain_risk_rules.action import ListDomainRiskRules from .list_hash_risk_rules.action import ListHashRiskRules from .list_url_risk_rules.action import ListUrlRiskRules from .list_vulnerability_risk_rules.action import ListVulnerabilityRiskRules from .lookup_IP_address.action import LookupIPAddress from .lookup_alert.action import LookupAlert from .lookup_domain.action import LookupDomain from .lookup_entity_list.action import LookupEntityList from .lookup_hash.action import LookupHash from .lookup_malware.action import LookupMalware from .lookup_url.action import LookupUrl from .lookup_vulnerability.action import LookupVulnerability from .search_IP_addresses.action import SearchIPAddresses from .search_domains.action import SearchDomains from .search_entity_lists.action import SearchEntityLists from .search_hashes.action import SearchHashes from .search_malware.action import SearchMalware from .search_urls.action import SearchUrls from .search_vulnerabilities.action import SearchVulnerabilities

55.37037

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7.010929

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0.074825

0.077942

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5

1f27aae8a285f2e669d6a9f15147d8725c91973f

25

py

Python

src/archive/clay_bricks/PatternBrickLibrary/safetyPaths.py

JonasWard/ClayAdventures

a716445ac690e4792e70658319aa1d5299f9c9e9

[ "MIT" ]

1

2020-03-25T10:55:10.000Z

src/archive/clay_bricks/PatternBrickLibrary/safetyPaths.py

JonasWard/ClayAdventures

a716445ac690e4792e70658319aa1d5299f9c9e9

[ "MIT" ]

null

src/archive/clay_bricks/PatternBrickLibrary/safetyPaths.py

JonasWard/ClayAdventures

a716445ac690e4792e70658319aa1d5299f9c9e9

[ "MIT" ]

null

# safety path definitions

25

0.84

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0.954545

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null

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null

0

1

0

1

0

null

0

1

0

5

1f32ecd6c176fb4aa11c6e86249a990d31335471

5,879

py

Python

models/util/current_element.py

Pauliceia/ws

8966cfd80299f22468afe9a2a1156740bf237270

[ "MIT" ]

null

models/util/current_element.py

Pauliceia/ws

8966cfd80299f22468afe9a2a1156740bf237270

[ "MIT" ]

2

2021-02-08T20:26:34.000Z

2021-04-30T20:43:28.000Z

models/util/current_element.py

Pauliceia/ws

8966cfd80299f22468afe9a2a1156740bf237270

[ "MIT" ]

1

2021-09-08T18:10:58.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- __select_elements__ = "element.id, element.geom, element.visible, element.version, element.fk_changeset_id, element.tags" def get_subquery_current_element_table_if_user_id_is_not_none(element, conditions_of_where, **kwargs): # create the where clause with the conditions where_current_element_table = "WHERE " + " AND ".join(conditions_of_where) # by default, get all elements from a specific user conditions_of_where = ["user_.id = {0}".format(kwargs["user_id"])] # create the where clause with the conditions where_join_user_with_changeset = "WHERE " + " AND ".join(conditions_of_where) # search by project_id current_element_table = """ ( -- get the elements of the changesets of a specific user SELECT {0} FROM ( -- get the changesets of a specific project SELECT changeset.id FROM user_ LEFT JOIN changeset ON user_.id = changeset.fk_user_id {3} ) AS changeset LEFT JOIN current_{1} element ON changeset.id = element.fk_changeset_id {2} ORDER BY id ) AS element """.format(__select_elements__, element, where_current_element_table, where_join_user_with_changeset) return current_element_table def get_subquery_current_element_table_if_layer_id_is_not_none(element, conditions_of_where, **kwargs): # create the where clause with the conditions where_current_element_table = "WHERE " + " AND ".join(conditions_of_where) # by default, get all elements from a specific layer conditions_of_where = ["layer.id = {0}".format(kwargs["layer_id"])] # create the where clause with the conditions where_join_layer_with_changeset = "WHERE " + " AND ".join(conditions_of_where) # search by layer_id current_element_table = """ ( -- get the elements of the changesets of a specific layer SELECT {0} FROM ( -- get the changesets of a specific layer SELECT changeset.id FROM layer LEFT JOIN changeset ON layer.id = changeset.fk_layer_id {3} ) AS changeset LEFT JOIN current_{1} element ON changeset.id = element.fk_changeset_id {2} ORDER BY id ) AS element """.format(__select_elements__, element, where_current_element_table, where_join_layer_with_changeset) return current_element_table def get_subquery_current_element_table_if_changeset_id_is_not_none(element, conditions_of_where, **kwargs): # add the id of changeset in WHERE conditions_of_where.append("changeset.id = {0}".format(kwargs["changeset_id"])) # create the where clause with the conditions where_current_element_table = "WHERE " + " AND ".join(conditions_of_where) # search by changeset_id current_element_table = """ ( SELECT {0} FROM current_{1} element LEFT JOIN changeset ON element.fk_changeset_id = changeset.id {2} ORDER BY id ) AS element """.format(__select_elements__, element, where_current_element_table) return current_element_table def get_subquery_current_element_table_default(element, conditions_of_where, **kwargs): # create the where clause with the conditions where_current_element_table = "WHERE " + " AND ".join(conditions_of_where) # default subquery, get all elements current_element_table = """ ( SELECT {0} FROM current_{1} element {2} ORDER BY id ) AS element """.format(__select_elements__, element, where_current_element_table) return current_element_table # main function def get_subquery_current_element_table(element, **kwargs): # DEFAULT WHERE # by default, get all results that are visible (that exist) conditions_of_where = ["element.visible=TRUE"] # SUBQUERY # create a subquery to get the elements, by a type: if "element_id" in kwargs and kwargs["element_id"] is not None: conditions_of_where.append("element.id = {0}".format(kwargs["element_id"])) current_element_table = get_subquery_current_element_table_default(element, conditions_of_where, **kwargs) elif "user_id" in kwargs and kwargs["user_id"] is not None: # if there is a layer_id current_element_table = get_subquery_current_element_table_if_user_id_is_not_none(element, conditions_of_where, **kwargs) elif "layer_id" in kwargs and kwargs["layer_id"] is not None: # if there is a layer_id current_element_table = get_subquery_current_element_table_if_layer_id_is_not_none(element, conditions_of_where, **kwargs) elif "changeset_id" in kwargs and kwargs["changeset_id"] is not None: # if there is a changeset_id current_element_table = get_subquery_current_element_table_if_changeset_id_is_not_none(element, conditions_of_where, **kwargs) else: # default current_element_table = get_subquery_current_element_table_default(element, conditions_of_where, **kwargs) return current_element_table

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686

5,879

4.900875

0.104956

0.133254

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0.074361

0.767995

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null

0

5

1f812e2d48ec3f887fdda18312d49e4988139a4f

97

py

Python

initiative/admin.py

nim65s/django-initiative

70bbfdadea442d68cf658cbaaea34879e67b89be

[ "BSD-2-Clause" ]

null

initiative/admin.py

nim65s/django-initiative

70bbfdadea442d68cf658cbaaea34879e67b89be

[ "BSD-2-Clause" ]

null

initiative/admin.py

nim65s/django-initiative

70bbfdadea442d68cf658cbaaea34879e67b89be

[ "BSD-2-Clause" ]

null

from django.contrib.admin import site from .models import Initiative site.register(Initiative)

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true

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1

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1

0

1

0

1

0

5

2f1bf782f0c7b407bf6ab096bc7e8bba23b67036

446

py

Python

halls/forms.py

samanvipotnuru/iiit_hall_booking_system

9f9cfde8d757e0eae702d36860c8342d317760f3

[ "MIT" ]

1

2021-12-23T14:08:06.000Z

halls/forms.py

samanvipotnuru/iiit_hall_booking_system

9f9cfde8d757e0eae702d36860c8342d317760f3

[ "MIT" ]

null

halls/forms.py

samanvipotnuru/iiit_hall_booking_system

9f9cfde8d757e0eae702d36860c8342d317760f3

[ "MIT" ]

1

2021-03-10T15:43:09.000Z

from django import forms from .models import Application class ApproveHall1Form(forms.ModelForm): approve = forms.CharField() class Meta: model = Application fields = ['approve'] class ApproveHall2Form(forms.ModelForm): approve = forms.CharField() class Meta: model = Application fields = ['approve'] class ApproveHall3Form(forms.ModelForm): approve = forms.CharField() class Meta: model = Application fields = ['approve']

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446

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446

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1

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null

0

1

0

5

2f30025a7b46580f9ff47a6bdabfd1779057e942

48

py

Python

MillerArrays/millerArrayPrintntensities.py

MooersLab/jupyterlabcctbxsnips

c5f0947b4e8c4e5839b9b6b15c81c62915103155

[ "MIT" ]

null

MillerArrays/millerArrayPrintntensities.py

MooersLab/jupyterlabcctbxsnips

c5f0947b4e8c4e5839b9b6b15c81c62915103155

[ "MIT" ]

null

MillerArrays/millerArrayPrintntensities.py

MooersLab/jupyterlabcctbxsnips

c5f0947b4e8c4e5839b9b6b15c81c62915103155

[ "MIT" ]

null

[print(hkl) for hkl in miller_arrays[1].data()]

24

47

0.708333

9

48

3.666667

0.888889

0

0.023256

0.104167

48

1

48

0.744186

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0

1

0

null

0

1

0

1

0

5

2f39c0f2663cbeb0363155b4a83eddbdaa6f2b83

103

py

Python

util/make_dirs.py

HkkSimple/KREP

3d9c15fe5986aab3ab73e0437bcd33f983f5dbe9

[ "Apache-2.0" ]

null

util/make_dirs.py

HkkSimple/KREP

3d9c15fe5986aab3ab73e0437bcd33f983f5dbe9

[ "Apache-2.0" ]

null

util/make_dirs.py

HkkSimple/KREP

3d9c15fe5986aab3ab73e0437bcd33f983f5dbe9

[ "Apache-2.0" ]

null

import os.path as osp import os def make_dirs(path): if not os.path.exists(path): os.makedirs(path)

17.166667

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0.737864

20

103

3.75

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0.145631

103

6

30

17.166667

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null

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1

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0

5

2f5a11dceb8843ccc79302bb4b8e5faaa20abe9f

73

py

Python

plugins/viper/icon_viper/actions/list_analyses/__init__.py

lukaszlaszuk/insightconnect-plugins

8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892

[ "MIT" ]

46

2019-06-05T20:47:58.000Z

2022-03-29T10:18:01.000Z

plugins/viper/icon_viper/actions/list_analyses/__init__.py

lukaszlaszuk/insightconnect-plugins

8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892

[ "MIT" ]

386

2019-06-07T20:20:39.000Z

2022-03-30T17:35:01.000Z

plugins/viper/icon_viper/actions/list_analyses/__init__.py

lukaszlaszuk/insightconnect-plugins

8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892

[ "MIT" ]

43

2019-07-09T14:13:58.000Z

2022-03-28T12:04:46.000Z

# GENERATED BY KOMAND SDK - DO NOT EDIT from .action import ListAnalyses

24.333333

39

0.780822

11

73

5.181818

1

0

0.178082

73

2

40

36.5

0.95

0.506849

0

1

0

1

0

true

0

1

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1

0

1

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