xszheng2020/the_stack_dedup_python_hits_5 · Datasets at Hugging Face

8d1809383e9a137745210b95643a74ebc802a0c2

4,586

py

Python

pointpats/tests/test_distance_statistics.py

sugam45/pointpats

bceba7f70deb2a27ac1cf08fe5c7013926714431

[ "BSD-3-Clause" ]

null

pointpats/tests/test_distance_statistics.py

sugam45/pointpats

bceba7f70deb2a27ac1cf08fe5c7013926714431

[ "BSD-3-Clause" ]

null

pointpats/tests/test_distance_statistics.py

sugam45/pointpats

bceba7f70deb2a27ac1cf08fe5c7013926714431

[ "BSD-3-Clause" ]

null

import unittest import numpy as np from ..distance_statistics import * from ..pointpattern import PointPattern class TestDistanceStatistics(unittest.TestCase): def setUp(self): self.points = [[66.22, 32.54], [22.52, 22.39], [31.01, 81.21], [9.47, 31.02], [30.78, 60.10], [75.21, 58.93], [79.26, 7.68], [8.23, 39.93], [98.73, 77.17], [89.78, 42.53], [65.19, 92.08], [54.46, 8.48]] self.pp = PointPattern(self.points) def test_distance_statistics_G(self): g = G(self.pp, intervals=20) distance_domain_sequence = [ 0.0, 1.73156208378, 3.46312416757, 5.19468625135, 6.92624833514, 8.65781041892, 10.3893725027, 12.1209345865, 13.8524966703, 15.5840587541, 17.3156208378, 19.0471829216, 20.7787450054, 22.5103070892, 24.241869173, 25.9734312568, 27.7049933406, 29.4365554243, 31.1681175081, 32.8996795919, 34.6312416757, 36.3628037595 ] envelop = [ 0.0, 0.0146894910196, 0.0574759094992, 0.124697772575, 0.210831326089, 0.309238901911, 0.413008064625, 0.515735506438, 0.612136108644, 0.698406273989, 0.772327023751, 0.83314205264, 0.881278728773, 0.917991964321, 0.945004075083, 0.964194409454, 0.977368288342, 0.986112304319, 0.991726501147, 0.995214862073, 0.997313134422, 0.998535316975 ] np.testing.assert_array_almost_equal(g.ev, envelop) np.testing.assert_array_almost_equal(g.d, distance_domain_sequence) def test_distance_statistics_F(self): f = F(self.pp, intervals=20) distance_domain_sequence = [ 0.0, 1.73156208378, 3.46312416757, 5.19468625135, 6.92624833514, 8.65781041892, 10.3893725027, 12.1209345865, 13.8524966703, 15.5840587541, 17.3156208378, 19.0471829216, 20.7787450054, 22.5103070892, 24.241869173, 25.9734312568, 27.7049933406, 29.4365554243, 31.1681175081, 32.8996795919, 34.6312416757, 36.3628037595 ] envelop = [ 0.0, 0.0146894910196, 0.0574759094992, 0.124697772575, 0.210831326089, 0.309238901911, 0.413008064625, 0.515735506438, 0.612136108644, 0.698406273989, 0.772327023751, 0.83314205264, 0.881278728773, 0.917991964321, 0.945004075083, 0.964194409454, 0.977368288342, 0.986112304319, 0.991726501147, 0.995214862073, 0.997313134422, 0.998535316975 ] np.testing.assert_array_almost_equal(f.ev, envelop) np.testing.assert_array_almost_equal(f.d, distance_domain_sequence) def test_distance_statistics_J(self): j = J(self.pp, intervals=20) distance_domain_sequence = [ 0.0, 1.73156208378, 3.46312416757, 5.19468625135, 6.92624833514, 8.65781041892, 10.3893725027, 12.1209345865, 13.8524966703, 15.5840587541, 17.3156208378, 19.0471829216, 20.7787450054, 22.5103070892 ] for val in j.ev: np.testing.assert_approx_equal(val, 1.0) for i in range(min(len(j.d), len(distance_domain_sequence))): np.testing.assert_approx_equal(j.d[i], distance_domain_sequence[i]) def test_distance_statistics_K(self): k = K(self.pp, intervals=20) distance_domain_sequence = [ 0. , 1.048125, 2.09625 , 3.144375, 4.1925 , 5.240625, 6.28875 , 7.336875, 8.385 , 9.433125, 10.48125 , 11.529375, 12.5775 , 13.625625, 14.67375 , 15.721875, 16.77 , 17.818125, 18.86625 , 19.914375, 20.9625 , 22.010625] envelope = [0. , 3.45124692, 13.8049877 , 31.06122232, 55.21995079, 86.2811731 , 124.24488927, 169.11109928, 220.87980315, 279.55100086, 345.12469242, 417.60087782, 496.97955708, 583.26073018, 676.44439714, 776.53055794, 883.51921259, 997.41036109, 1118.20400343, 1245.90013963, 1380.49876967, 1521.99989356] np.testing.assert_array_almost_equal(k.ev, envelope) np.testing.assert_array_almost_equal(k.d, distance_domain_sequence) def test_distance_statistics_L(self): l = L(self.pp, intervals=20) distance_domain_sequence = [0. , 1.048125, 2.09625 , 3.144375, 4.1925 , 5.240625, 6.28875 , 7.336875, 8.385 , 9.433125, 10.48125 , 11.529375, 12.5775 , 13.625625, 14.67375 , 15.721875, 16.77 , 17.818125, 18.86625 , 19.914375, 20.9625 , 22.010625] np.testing.assert_array_almost_equal(l.d, distance_domain_sequence)

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py

Python

fullSWOF2DConfiguration.py

unterweg/peanoclaw

2d8b45727e3b26d824f8afc6a8772736176083af

[ "BSD-3-Clause" ]

1

2015-07-14T10:05:52.000Z

fullSWOF2DConfiguration.py

unterweg/peanoclaw

2d8b45727e3b26d824f8afc6a8772736176083af

[ "BSD-3-Clause" ]

null

fullSWOF2DConfiguration.py

unterweg/peanoclaw

2d8b45727e3b26d824f8afc6a8772736176083af

[ "BSD-3-Clause" ]

1

2019-12-03T15:58:53.000Z

fullSWOF2DPath='../FullSWOF_2D' def getFullSWOF2DPath(): return fullSWOF2DPath

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py

Python

CodeWars/7 Kyu/Truncate a string!.py

anubhab-code/Competitive-Programming

de28cb7d44044b9e7d8bdb475da61e37c018ac35

[ "MIT" ]

null

CodeWars/7 Kyu/Truncate a string!.py

anubhab-code/Competitive-Programming

de28cb7d44044b9e7d8bdb475da61e37c018ac35

[ "MIT" ]

null

CodeWars/7 Kyu/Truncate a string!.py

anubhab-code/Competitive-Programming

de28cb7d44044b9e7d8bdb475da61e37c018ac35

[ "MIT" ]

null

def truncate_string(s,n): return s if len(s)<=n else s[:n if n<=3 else n-3]+'...'

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py

Python

socialregistration/contrib/google/admin.py

nypublicradio/legacy-publisher-django-socialregistration

181f75d152f553f77fa899dac895c4276108204f

[ "MIT" ]

63

2015-01-27T16:52:03.000Z

2021-08-29T04:23:51.000Z

socialregistration/contrib/google/admin.py

nypublicradio/legacy-publisher-django-socialregistration

181f75d152f553f77fa899dac895c4276108204f

[ "MIT" ]

3

2016-05-26T07:46:53.000Z

2022-02-16T15:25:16.000Z

socialregistration/contrib/google/admin.py

nypublicradio/legacy-publisher-django-socialregistration

181f75d152f553f77fa899dac895c4276108204f

[ "MIT" ]

23

2015-02-02T13:33:46.000Z

2020-10-25T20:02:53.000Z

from django.contrib import admin from socialregistration.contrib.google.models import GoogleProfile admin.site.register(GoogleProfile)

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py

Python

plugins/orchestrator_ping/icon_orchestrator_ping/triggers/__init__.py

lukaszlaszuk/insightconnect-plugins

8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892

[ "MIT" ]

46

2019-06-05T20:47:58.000Z

2022-03-29T10:18:01.000Z

plugins/orchestrator_ping/icon_orchestrator_ping/triggers/__init__.py

lukaszlaszuk/insightconnect-plugins

8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892

[ "MIT" ]

386

2019-06-07T20:20:39.000Z

2022-03-30T17:35:01.000Z

plugins/orchestrator_ping/icon_orchestrator_ping/triggers/__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 .signal.trigger import Signal

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575480668ab2d00493ca4f969c02b3d28c44927c

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py

Python

__init__.py

emile-bernard/OpenCV-Webcam-Stream

8927fa96273bc65997b4ffe353d8d740f823011b

[ "MIT" ]

1

2020-02-13T19:50:32.000Z

__init__.py

emile-bernard/OpenCV-Webcam-Stream

8927fa96273bc65997b4ffe353d8d740f823011b

[ "MIT" ]

null

__init__.py

emile-bernard/OpenCV-Webcam-Stream

8927fa96273bc65997b4ffe353d8d740f823011b

[ "MIT" ]

null

from model import Model from videoCapture import VideoCapture from canvas import Canvas from rectangle import Rectangle from text import Text

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9e0b0160e46a214d44a5cf9fc21aa375585f1889

119

py

Python

rafiki/container/__init__.py

airlovelq/rafiki

7cb81d4445102b7f8255e703f66c1b4161330d7e

[ "Apache-2.0" ]

null

rafiki/container/__init__.py

airlovelq/rafiki

7cb81d4445102b7f8255e703f66c1b4161330d7e

[ "Apache-2.0" ]

null

rafiki/container/__init__.py

airlovelq/rafiki

7cb81d4445102b7f8255e703f66c1b4161330d7e

[ "Apache-2.0" ]

1

2019-10-14T03:39:18.000Z

from .container_manager import ContainerManager, ContainerService from .docker_swarm import DockerSwarmContainerManager

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py

Python

codeshare/instrumenting_native_android_functions_using_frida.py

FreaxW/frida-repos

3490c18307c9c0f9a7476de66aa8f3ec69ee321f

[ "MIT" ]

4

2021-08-17T02:35:33.000Z

2021-10-22T03:41:38.000Z

codeshare/instrumenting_native_android_functions_using_frida.py

FreaxW/frida-repos

3490c18307c9c0f9a7476de66aa8f3ec69ee321f

[ "MIT" ]

null

codeshare/instrumenting_native_android_functions_using_frida.py

FreaxW/frida-repos

3490c18307c9c0f9a7476de66aa8f3ec69ee321f

[ "MIT" ]

1

2021-07-05T09:37:48.000Z

import frida import sys package_name = "com.devadvance.rootinspector" def get_messages_from_js(message, data): #print(message) print(message['payload']) def instrument_debugger_checks(): hook_code = """ var didHookApis = false; Interceptor.attach(Module.findExportByName(null, 'dlopen'), { onEnter: function(args) { this.path = Memory.readUtf8String(args[0]); console.log(this.path); }, onLeave: function(retval) { if (!retval.isNull() && this.path.indexOf('libnative2.so') !== -1 && !didHookApis) { didHookApis = true; console.log("File loaded hooking"); hooknative2(); // ... } } }); function hooknative2() { Interceptor.attach(Module.findExportByName("libnative2.so", "Java_com_devadvance_rootinspector_Root_checkifstream"), { onLeave: function(retval) { retval.replace(0); } }); Interceptor.attach(Module.findExportByName("libnative2.so", "Java_com_devadvance_rootinspector_Root_checkfopen"), { onLeave: function(retval) { retval.replace(0); } }); Interceptor.attach(Module.findExportByName("libnative2.so", "Java_com_devadvance_rootinspector_Root_checkfopen"), { onLeave: function(retval) { retval.replace(0); } }); Interceptor.attach(Module.findExportByName("libnative2.so", "Java_com_devadvance_rootinspector_Root_statfile"), { onLeave: function(retval) { retval.replace(0); } }); Interceptor.attach(Module.findExportByName("libnative2.so", "Java_com_devadvance_rootinspector_Root_runsu"), { onLeave: function(retval) { retval.replace(0); } }); Interceptor.attach(Module.findExportByName("libnative2.so", "Java_com_devadvance_rootinspector_Root_runls"), { onLeave: function(retval) { retval.replace(0); } }); Interceptor.attach(Module.findExportByName("libnative2.so", "Java_com_devadvance_rootinspector_Root_runpmlist"), { onLeave: function(retval) { retval.replace(0); } }); } """ return hook_code device = frida.get_usb_device() # run package p1 = device.spawn(["com.devadvance.rootinspector"]) process = device.attach(p1) script = process.create_script(instrument_debugger_checks()) script.on('message', get_messages_from_js) script.load() # Extremely important to add this else the app would freeze device.resume(p1) sys.stdin.read()

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py

Python

wechat_django/pay/models/__init__.py

UltraVacuum/wechat-django

0ea243067f5bc5e69cab6c4585d5e46d9399a583

[ "MIT" ]

166

2019-02-23T10:19:33.000Z

2022-02-03T06:50:15.000Z

wechat_django/pay/models/__init__.py

UltraVacuum/wechat-django

0ea243067f5bc5e69cab6c4585d5e46d9399a583

[ "MIT" ]

19

2019-05-07T07:28:32.000Z

2021-06-02T06:56:03.000Z

wechat_django/pay/models/__init__.py

UltraVacuum/wechat-django

0ea243067f5bc5e69cab6c4585d5e46d9399a583

[ "MIT" ]

54

2019-02-27T07:55:57.000Z

2021-09-02T06:47:51.000Z

# -*- coding: utf-8 -*- # flake8: noqa from __future__ import unicode_literals from .app import WeChatPay from .order import UnifiedOrder from .orderresult import UnifiedOrderResult

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py

Python

training/src/hello.py

anvelezec/maderapp

c6c6718ac1022723a335eaa2686997ec68ffc404

[ "MIT" ]

null

training/src/hello.py

anvelezec/maderapp

c6c6718ac1022723a335eaa2686997ec68ffc404

[ "MIT" ]

null

training/src/hello.py

anvelezec/maderapp

c6c6718ac1022723a335eaa2686997ec68ffc404

[ "MIT" ]

null

# src/hello.py print("Hello world!")

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py

Python

proj-flask_app_basic/basicapp/scripts/launcher.py

HarmonicHemispheres/LearnPythonThruRef

33abb6a83c63f1200a1bd911368f9fac460d432e

[ "MIT" ]

null

proj-flask_app_basic/basicapp/scripts/launcher.py

HarmonicHemispheres/LearnPythonThruRef

33abb6a83c63f1200a1bd911368f9fac460d432e

[ "MIT" ]

null

proj-flask_app_basic/basicapp/scripts/launcher.py

HarmonicHemispheres/LearnPythonThruRef

33abb6a83c63f1200a1bd911368f9fac460d432e

[ "MIT" ]

null

from basicapp.client.app import create_app def main(): print("------launching------") create_app()

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py

Python

qkd/protocols/b92/__init__.py

stephendiadamo/qkd_error_recon

cb21f4764ab4bd3dad4db7f0d61164d2457731c5

[ "MIT" ]

null

qkd/protocols/b92/__init__.py

stephendiadamo/qkd_error_recon

cb21f4764ab4bd3dad4db7f0d61164d2457731c5

[ "MIT" ]

null

qkd/protocols/b92/__init__.py

stephendiadamo/qkd_error_recon

cb21f4764ab4bd3dad4db7f0d61164d2457731c5

[ "MIT" ]

3

2021-07-22T14:12:28.000Z

2021-09-08T12:33:53.000Z

from .b92_realistic import KeySenderProtocol, KeyReceiverProtocol

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f572daa1ba023aab8aa85fe74eafcf4aa91b8c3f

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py

Python

test/test_server/server.py

thecodesome/libwebler

038f1cf9d42fbf3c35122c0648069b770246bb7f

[ "MIT" ]

null

test/test_server/server.py

thecodesome/libwebler

038f1cf9d42fbf3c35122c0648069b770246bb7f

[ "MIT" ]

null

test/test_server/server.py

thecodesome/libwebler

038f1cf9d42fbf3c35122c0648069b770246bb7f

[ "MIT" ]

1

2018-08-22T09:40:20.000Z

from flask import Flask,request,jsonify,render_template,request,jsonify,make_response,redirect app = Flask(__name__) port = 3000 def getPrefix(arr): s = '' for a in arr[:-1]: s += a + '/' s += arr[-1] return s @app.route("/first/") def first_link(): return render_template('first_page.html',port=port) @app.route("/intermediate/<p1>/") def p0_link(p1): return render_template('intermediate_page.html',port=port,prefix=getPrefix([p1])) @app.route("/intermediate/<p1>/<p2>/") def p1_link(p1,p2): return render_template('intermediate_page.html',port=port,prefix=getPrefix([p1,p2])) @app.route("/intermediate/<p1>/<p2>/<p3>/") def p2_link(p1,p2,p3): return render_template('intermediate_page.html',port=port,prefix=getPrefix([p1,p2,p3])) @app.route("/intermediate/<p1>/<p2>/<p3>/<p4>/") def p3_link(p1,p2,p3,p4): return render_template('intermediate_page.html',port=port,prefix=getPrefix([p1,p2,p3,p4])) @app.route("/intermediate/<p1>/<p2>/<p3>/<p4>/<p5>/") def p4_link(p1,p2,p3,p4,p5): return render_template('intermediate_page.html',port=port,prefix=getPrefix([p1,p2,p3,p4,p5])) @app.route("/intermediate/<p1>/<p2>/<p3>/<p4>/<p5>/<p6>/") def p5_link(p1,p2,p3,p4,p5,p6): return render_template('intermediate_page.html',port=port,prefix=getPrefix([p1,p2,p3,p4,p5,p6])) @app.route("/intermediate/<p1>/<p2>/<p3>/<p4>/<p5>/<p6>/<p7>/") def p6_link(p1,p2,p3,p4,p5,p6,p7): return render_template('intermediate_page.html',port=port,prefix=getPrefix([p1,p2,p3,p4,p5,p6,p7])) @app.route("/intermediate/<p1>/<p2>/<p3>/<p4>/<p5>/<p6>/<p7>/<p8>/") def p7_link(p1,p2,p3,p4,p5,p6,p7,p8): return render_template('intermediate_page.html',port=port,prefix=getPrefix([p1,p2,p3,p4,p5,p6,p7,p8])) @app.route("/intermediate/<p1>/<p2>/<p3>/<p4>/<p5>/<p6>/<p7>/<p8>/<p9>/") def p8_link(p1,p2,p3,p4,p5,p6,p7,p8,p9): return render_template('intermediate_page.html',port=port,prefix=getPrefix([p1,p2,p3,p4,p5,p6,p7,p8,p9])) @app.route("/intermediate/<p1>/<p2>/<p3>/<p4>/<p5>/<p6>/<p7>/<p8>/<p9>/<p10>/") def p9_link(p1,p2,p3,p4,p5,p6,p7,p8,p9,p10): return render_template('final_page.html',port=port,prefix=getPrefix([p1,p2,p3,p4,p5,p6,p7,p8,p9,p10])) if __name__ == "__main__": app.run(port=port,debug=True)

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2,263

59

110

38.355932

0.623147

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0.045455

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0

0.022727

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0.568182

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null

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1

0

1

0

null

0

1

0

1

0

5

19160a5b5f63c1a752523ad768b27de7167748a1

57

py

Python

PythonScript/PythonIntermedio/cap_6/sustitucionEnPython.py

FranklinA/CoursesAndSelfStudy

63a699d6df7eef52190b608e2dd5728f7aa7264a

[ "MIT" ]

null

PythonScript/PythonIntermedio/cap_6/sustitucionEnPython.py

FranklinA/CoursesAndSelfStudy

63a699d6df7eef52190b608e2dd5728f7aa7264a

[ "MIT" ]

null

PythonScript/PythonIntermedio/cap_6/sustitucionEnPython.py

FranklinA/CoursesAndSelfStudy

63a699d6df7eef52190b608e2dd5728f7aa7264a

[ "MIT" ]

null

# import re print(re.sub(r"\d","*","mpang8uera990",2))

9.5

42

0.596491

9

57

3.777778

0.888889

0

0.098039

0.105263

57

5

43

11.4

0.568627

0

0.290909

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

1921b72dee8eed1087850c4e9d30d9be66b5a2d2

857

py

Python

sdk/python/pulumi_hcloud/__init__.py

akoenig/pulumi-hcloud

fdbc21754c69f9bcffac6a880ab9cc7c4a1a0319

[ "ECL-2.0", "Apache-2.0" ]

10

2019-04-27T00:52:33.000Z

2020-04-28T18:57:11.000Z

sdk/python/pulumi_hcloud/__init__.py

akoenig/pulumi-hcloud

fdbc21754c69f9bcffac6a880ab9cc7c4a1a0319

[ "ECL-2.0", "Apache-2.0" ]

1

2019-10-02T15:48:55.000Z

sdk/python/pulumi_hcloud/__init__.py

akoenig/pulumi-hcloud

fdbc21754c69f9bcffac6a880ab9cc7c4a1a0319

[ "ECL-2.0", "Apache-2.0" ]

1

2019-12-17T15:45:22.000Z

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import importlib # Make subpackages available: __all__ = ['config'] for pkg in __all__: if pkg != 'config': importlib.import_module(f'{__name__}.{pkg}') # Export this package's modules as members: from .floating_ip import * from .floating_ip_assignment import * from .rdns import * from .server import * from .ssh_key import * from .volume import * from .volume_attachment import * from .get_datacenter import * from .get_datacenters import * from .get_floating_ip import * from .get_image import * from .get_location import * from .get_locations import * from .get_server import * from .get_ssh_key import * from .get_volume import * from .provider import *

28.566667

87

0.738623

124

857

4.870968

0.516129

0.264901

0.193709

0.066225

0

0.001397

0.164527

857

29

88

29.551724

0.842179

0.288215

0

1

0

0.046358

0

1

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false

0

0.863636

0

0.863636

0

null

1

0

1

0

null

0

1

0

1

0

5

194ea5f5fc15f152f0ae643574fa02707ad7057d

42

py

Python

tests/__init__.py

research2use/game_control

96a6d9e01a7d629423687b5632f9c8dbc03b3141

[ "MIT" ]

null

tests/__init__.py

research2use/game_control

96a6d9e01a7d629423687b5632f9c8dbc03b3141

[ "MIT" ]

null

tests/__init__.py

research2use/game_control

96a6d9e01a7d629423687b5632f9c8dbc03b3141

[ "MIT" ]

null

"""Unit test package for game_control."""

21

41

0.714286

6

42

4.833333

1

0

0.119048

42

1

42

0.783784

0.833333

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

198b987f3e3abf8570911372e6c197ea5ff084cd

108

py

Python

06/00/iter.py

pylangstudy/201708

126b1af96a1d1f57522d5a1d435b58597bea2e57

[ "CC0-1.0" ]

null

06/00/iter.py

pylangstudy/201708

126b1af96a1d1f57522d5a1d435b58597bea2e57

[ "CC0-1.0" ]

39

2017-07-31T22:54:01.000Z

2017-08-31T00:19:03.000Z

06/00/iter.py

pylangstudy/201708

126b1af96a1d1f57522d5a1d435b58597bea2e57

[ "CC0-1.0" ]

null

d = {}; print(len(d)) d = {'k1':'v1', 'k2':'v2'}; print(len(d)) print(iter(d)) for i in iter(d): print(i)

15.428571

41

0.509259

22

108

2.5

0.5

0.327273

0

0.043956

0.157407

108

6

42

18

0.56044

0

0.075472

0

1

0

false

0

1

0

null

1

0

1

0

null

0

1

0

5

198c14395a26fe708119766541f7ca63f196c861

25

py

Python

ptdg/__init__.py

cniemira/ptdg

02818ff02798ce5595a40af9f1ee3c30f2c29d76

[ "MIT" ]

null

ptdg/__init__.py

cniemira/ptdg

02818ff02798ce5595a40af9f1ee3c30f2c29d76

[ "MIT" ]

null

ptdg/__init__.py

cniemira/ptdg

02818ff02798ce5595a40af9f1ee3c30f2c29d76

[ "MIT" ]

null

from .server import main

12.5

24

0.8

4

25

5

1

0

0.16

25

1

25

0.952381

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

5fd8e93c661fe6d10f6d958596c386ab9a602be2

87

py

Python

pynetbox/core/util.py

jsenecal/pynetbox

5cc08971bb37add2d086a65ff90ce684f7cb8936

[ "Apache-2.0" ]

264

2017-06-29T10:25:15.000Z

2021-04-13T09:14:57.000Z

pynetbox/core/util.py

jixianbo/pynetbox

4c3b0f820be2d9d9fb53c52e5ab3b2d541f16e68

[ "Apache-2.0" ]

278

2017-07-17T17:46:16.000Z

2021-04-16T17:22:27.000Z

pynetbox/core/util.py

jixianbo/pynetbox

4c3b0f820be2d9d9fb53c52e5ab3b2d541f16e68

[ "Apache-2.0" ]

129

2017-07-07T21:56:46.000Z

2021-03-12T20:19:18.000Z

class Hashabledict(dict): def __hash__(self): return hash(frozenset(self))

21.75

36

0.678161

10

87

5.5

0.8

0

0.206897

87

3

37

29

0.797101

0

1

0.333333

false

0

0.333333

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

5fd92e26196f5316628c59f013b23ec0d54bd94b

13

py

Python

tests/connection_integration_tests/data/__init__.py

ZacharyATanenbaum/service_framework

b5dde4407998350d1b7ad09284110b986fd4e12a

[ "MIT" ]

1

2020-03-20T21:33:56.000Z

tests/connection_integration_tests/data/__init__.py

ZacharyATanenbaum/service_framework

b5dde4407998350d1b7ad09284110b986fd4e12a

[ "MIT" ]

1

2020-03-22T03:48:45.000Z

tests/connection_integration_tests/data/__init__.py

ZacharyATanenbaum/service_framework

b5dde4407998350d1b7ad09284110b986fd4e12a

[ "MIT" ]

null

""" SIGH """

6.5

12

0.307692

1

13

4

1

0

0.230769

13

1

13

0.4

0.307692

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

5ff2eb6cbb0af1daca9dfb8eda35180456cf40bc

40

py

Python

Warmup/Q09 - Birthday Cake Candles/python.py

utkarshg6/SMVDU-HackerRank

1f8764be28cd8170841b134bcf9c68e349ba79bc

[ "MIT" ]

2

2018-07-01T21:12:59.000Z

2018-09-05T16:05:24.000Z

Warmup/Q09 - Birthday Cake Candles/python.py

utkarshg6/SMVDU-HackerRank

1f8764be28cd8170841b134bcf9c68e349ba79bc

[ "MIT" ]

4

2018-02-20T06:45:49.000Z

2018-03-29T20:55:53.000Z

Warmup/Q09 - Birthday Cake Candles/python.py

utkarshg6/SMVDU-HackerRank

1f8764be28cd8170841b134bcf9c68e349ba79bc

[ "MIT" ]

3

2018-02-19T11:35:30.000Z

2018-03-27T15:23:18.000Z

#Q09 - Birthday Cake Candles || Warmup

40

0.7

5

40

5.6

1

0

0.0625

0.2

40

1

40

0.8125

0.975

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

270c9d833b0a4ad9519f7c5994f800528f9b8595

213

py

Python

weather/templatetags/tags.py

javitocor/Weather-App-Django

e816485663047950c622b6f6596d4b82941017c3

[ "MIT" ]

2

2021-09-07T11:51:47.000Z

2021-09-07T18:40:24.000Z

weather/templatetags/tags.py

javitocor/Weather-App-Django

e816485663047950c622b6f6596d4b82941017c3

[ "MIT" ]

null

weather/templatetags/tags.py

javitocor/Weather-App-Django

e816485663047950c622b6f6596d4b82941017c3

[ "MIT" ]

null

from django import template register = template.Library() @register.filter('timestamp_to_time') def timestamp_to_time(timestamp): import datetime return datetime.date.fromtimestamp(int(timestamp))

30.428571

54

0.769953

25

213

6.4

0.64

0.1375

0.1875

0

0.140845

213

7

54

30.428571

0.874317

0

0.079439

0

1

0.166667

false

0

0.333333

0

0.666667

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

27322b13fda5feae91ae1cfc420e1e9c690b295d

195

py

Python

cap-4/__name__==__main__/foo.py

igoradriano/manipulacao-dados-python-bd

e3e47f15529d98e5c5887ebbb93c48924fceb665

[ "MIT" ]

null

cap-4/__name__==__main__/foo.py

igoradriano/manipulacao-dados-python-bd

e3e47f15529d98e5c5887ebbb93c48924fceb665

[ "MIT" ]

null

cap-4/__name__==__main__/foo.py

igoradriano/manipulacao-dados-python-bd

e3e47f15529d98e5c5887ebbb93c48924fceb665

[ "MIT" ]

null

if __name__ == '__main__': print("Estou sendo Executado diretamente no terminal") print(__name__) else: print("Estou sendo importado e executado por outro código") print(__name__)

32.5

63

0.723077

24

195

5.208333

0.666667

0.16

0.24

0

0.184615

195

6

64

32.5

0.786164

0

0.333333

0

0.52551

0

1

0

true

0

0.166667

0

0.166667

0.666667

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

2735593e97d553bea867b1bb3068a7aa5d43539f

156

py

Python

slide_11.py

JakeRoggenbuck/strategy_presentation_numpy

6f5303c65c3a73cae1a0e0283a88c4f57694a08c

[ "MIT" ]

null

slide_11.py

JakeRoggenbuck/strategy_presentation_numpy

6f5303c65c3a73cae1a0e0283a88c4f57694a08c

[ "MIT" ]

null

slide_11.py

JakeRoggenbuck/strategy_presentation_numpy

6f5303c65c3a73cae1a0e0283a88c4f57694a08c

[ "MIT" ]

null

# Not runnable end_point = "team/frc254" url = f"https://www.thebluealliance.com/api/v3/{end_point}" "https://www.thebluealliance.com/api/v3/team/frc254"

22.285714

59

0.737179

24

156

4.708333

0.583333

0.141593

0.40708

0.460177

0.548673

0

0.055556

0.076923

156

6

60

26

0.729167

0.076923

0

0.78169

0

1

0

false

0

1

0

null

0

1

0

1

0

1

0

null

0

5

274022d47c87deea456958ab2e9b2122c30d30aa

783

py

Python

Practice/frontend/myapp/models.py

TanmayHiremath/Traffic-Man

2c44780b336fd99fc6d4a4914a1c0a9716b19d3f

[ "MIT" ]

null

Practice/frontend/myapp/models.py

TanmayHiremath/Traffic-Man

2c44780b336fd99fc6d4a4914a1c0a9716b19d3f

[ "MIT" ]

null

Practice/frontend/myapp/models.py

TanmayHiremath/Traffic-Man

2c44780b336fd99fc6d4a4914a1c0a9716b19d3f

[ "MIT" ]

1

2020-06-27T14:15:55.000Z

from django.db import models # Create your models here. class Image(models.Model): picture=models.ImageField() sn=models.IntegerField(default=1) def __str__(self): return str(self.sn) class CurrentImages(models.Model): img0=models.IntegerField(default=1) img1=models.IntegerField(default=1) img2=models.IntegerField(default=1) img3=models.IntegerField(default=1) programStarted = models.BooleanField(default=False) class TrafficLight(models.Model): color=models.CharField(default='white',max_length=20) sn=models.IntegerField(default=0) greenTime=models.FloatField(default=0) yellowTime=models.FloatField(default=0) def __str__(self): return str(self.sn)

34.043478

59

0.681992

91

783

5.769231

0.43956

0.205714

0.285714

0.247619

0.095238

0

0.022617

0.209451

783

23

60

34.043478

0.825525

0.030651

0

0.210526

0

0.006596

0

1

0.105263

false

0

0.052632

0.105263

1

0

null

1

0

null

0

1

0

5

2758cc69acd6610c0bcef6c410c914e30f100410

53

py

Python

walkmate/__init__.py

JoelLefkowitz/walker

a6019cd15425df807dc368716aa5f868a11fe139

[ "MIT" ]

2

2021-02-03T02:32:30.000Z

2021-08-03T17:34:11.000Z

walkmate/__init__.py

JoelLefkowitz/walker

a6019cd15425df807dc368716aa5f868a11fe139

[ "MIT" ]

1

2021-06-02T04:08:24.000Z

walkmate/__init__.py

JoelLefkowitz/walkmate

a6019cd15425df807dc368716aa5f868a11fe139

[ "MIT" ]

null

from .files import get_child_files, walk_child_files

26.5

52

0.867925

9

53

4.666667

0.666667

0.47619

0

0.09434

53

1

53

0.875

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

27828b24f0a52b56fd68e148d71b56d3c6208fee

153

py

Python

nsz/gui/GuiPath.py

teknoraver/nsz

5c22eeccafec29a6d456a58a23006dddb9d620e7

[ "MIT" ]

418

2019-10-13T06:01:45.000Z

2022-03-30T13:56:39.000Z

nsz/gui/GuiPath.py

teknoraver/nsz

5c22eeccafec29a6d456a58a23006dddb9d620e7

[ "MIT" ]

95

2019-10-11T14:02:11.000Z

2022-01-13T14:34:19.000Z

nsz/gui/GuiPath.py

teknoraver/nsz

5c22eeccafec29a6d456a58a23006dddb9d620e7

[ "MIT" ]

56

2019-10-13T03:05:19.000Z

2022-02-09T14:03:53.000Z

from pathlib import Path guiPath = Path(__file__).parent.resolve() def getGuiPath(relativePath): return str(guiPath.joinpath(relativePath).resolve())

21.857143

53

0.79085

18

153

6.5

0.777778

0

0.091503

153

6

54

25.5

0.841727

0

1

0.25

false

0

0.25

0.75

0

1

0

null

0

1

0

null

0

1

0

1

0

5

2798ddaa5071b073352997f714ed819d27a7c134

174

py

Python

setup.py

teonistor/py-beams

2b954bc000607cc2b4cd56ac080da90c889f1643

[ "MIT" ]

3

2019-11-11T13:25:34.000Z

2021-02-04T14:15:12.000Z

setup.py

teonistor/beamr

2b954bc000607cc2b4cd56ac080da90c889f1643

[ "MIT" ]

null

setup.py

teonistor/beamr

2b954bc000607cc2b4cd56ac080da90c889f1643

[ "MIT" ]

null

''' Created on 6 Mar 2018 @author: Teodor G Nistor ''' from setuptools import setup, find_packages from beamr import setup_arg setup(packages=find_packages(), **setup_arg)

17.4

44

0.764368

26

174

4.961538

0.653846

0.170543

0

0.033333

0.137931

174

9

45

19.333333

0.826667

0.270115

0

1

0

true

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27a57cd4f4b795c2dfe3ca647398eda26ed43554

1,039

py

Python

app.py

stuartmunn/socket_control

96c3321fd5c7c27027ef22424d4aa3f392da4d72

[ "Unlicense" ]

null

app.py

stuartmunn/socket_control

96c3321fd5c7c27027ef22424d4aa3f392da4d72

[ "Unlicense" ]

1

2016-02-03T17:36:07.000Z

2016-02-04T21:45:31.000Z

app.py

stuartmunn/socket_control

96c3321fd5c7c27027ef22424d4aa3f392da4d72

[ "Unlicense" ]

null

from flask import Flask, render_template import RPi.GPIO as GPIO import time from energenie import switch_on, switch_off app = Flask(__name__) @app.route('/') def index(): return render_template('index.html') @app.route('/on1/') def on1(): switch_on(1) return render_template('index.html') @app.route('/on2/') def on2(): switch_on(2) return render_template('index.html') @app.route('/on3/') def on3(): switch_on(3) return render_template('index.html') @app.route('/on4/') def on4(): switch_on(4) return render_template('index.html') @app.route('/off1/') def off1(): switch_off(1) return render_template('index.html') @app.route('/off2/') def off2(): switch_off(2) return render_template('index.html') @app.route('/off3/') def off3(): switch_off(3) return render_template('index.html') @app.route('/off4/') def off4(): switch_off(4) return render_template('index.html') if __name__ == '__main__': app.run(debug=True, host='0.0.0.0') #, port=int("5001"))

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py

Python

enthought/traits/ui/item.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

3

2016-12-09T06:05:18.000Z

2018-03-01T13:00:29.000Z

enthought/traits/ui/item.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

1

2020-12-02T00:51:32.000Z

2020-12-02T08:48:55.000Z

enthought/traits/ui/item.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

null

# proxy module from traitsui.item import *

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27ce086d51c68688e9df87411eb5c2983af02434

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py

Python

pq/__init__.py

quantmind/pulsar-queue

26ec8cbc291a830bd338c31f8a129cbd15f87a69

[ "BSD-3-Clause" ]

64

2015-09-25T19:28:17.000Z

2022-02-15T20:52:03.000Z

pq/__init__.py

quantmind/pulsar-queue

26ec8cbc291a830bd338c31f8a129cbd15f87a69

[ "BSD-3-Clause" ]

16

2015-09-23T13:35:10.000Z

2017-11-25T09:32:15.000Z

pq/__init__.py

quantmind/pulsar-queue

26ec8cbc291a830bd338c31f8a129cbd15f87a69

[ "BSD-3-Clause" ]

11

2015-10-01T14:39:36.000Z

2021-12-31T06:57:49.000Z

"""Asynchronous task queue""" from .utils.version import get_version VERSION = (0, 6, 0, 'final', 0) __version__ = get_version(VERSION, __file__)

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py

Python

optim/optimizer.py

cuongpxu/continual-learning

0f799ddc0efe7e6df7038d2e97303add8d5e01fd

[ "MIT" ]

null

optim/optimizer.py

cuongpxu/continual-learning

0f799ddc0efe7e6df7038d2e97303add8d5e01fd

[ "MIT" ]

null

optim/optimizer.py

cuongpxu/continual-learning

0f799ddc0efe7e6df7038d2e97303add8d5e01fd

[ "MIT" ]

null

import torch import math from torch.optim.optimizer import Optimizer class AdLR(Optimizer): r"""Implements the algorithm proposed in the paper "A novel adaptive learning rate algorithm for CNN training" Author: S.V. Georgakopoulos and V.P. Plagianakos Args: params (iterable): iterable of parameters to optimize or dicts defining parameter groups lr (float): learning rate (required) gamma1: meta-learning rate 1 gamma2: meta-learning rate 2 gamma3: meta-learning rate 3 """ def __init__(self, params, lr=0.01, gamma1=0.01, gamma2=0.001, gamma3=0.01, device='cpu'): if not 0.0 <= lr: raise ValueError("Invalid learning rate: {}".format(lr)) defaults = dict(lr=lr, gamma1=gamma1, gamma2=gamma2, gamma3=gamma3) super(AdLR, self).__init__(params, defaults) self.init_lr = lr self.device = device # Initialize previous grad for k, p in enumerate(self.param_groups[0]['params']): if k == 0: self.prev_grad1 = torch.zeros(p.view(-1).size()).to(device) else: self.prev_grad1 = torch.cat((self.prev_grad1, torch.zeros(p.view(-1).size()).to(self.device))) self.prev_grad2 = self.prev_grad1.detach().clone().to(self.device) def __setstate__(self, state): super(AdLR, self).__setstate__(state) @torch.no_grad() def step(self, closure=None): """ Performs a single optimization step. Arguments: closure (callable, optional): A closure that reevaluates the model and returns the loss. """ loss = None if closure is not None: with torch.enable_grad(): loss = closure() for group in self.param_groups: for k, p in enumerate(group['params']): if p.grad is None: continue grad = p.grad if k == 0: all_grad = torch.flatten(p.grad) else: all_grad = torch.cat((all_grad, torch.flatten(p.grad))) # Update weight p.add_(grad, alpha=-group['lr']) # Update learning rate group['lr'] = group['lr'] + \ group['gamma1'] * torch.dot(self.prev_grad1, all_grad.to(self.device)) + \ group['gamma2'] * torch.dot(self.prev_grad2, self.prev_grad1) if group['lr'] < 0: group['lr'] = group['gamma3'] * self.init_lr # Store prev grad self.prev_grad2 = self.prev_grad1.detach().clone().to(self.device) self.prev_grad1 = all_grad.detach().clone().to(self.device) return loss class eAdLR(Optimizer): r"""Implements the algorithm proposed in the paper "Efficient learning rate adaptation for CNN training" Author: S.V. Georgakopoulos and V.P. Plagianakos Args: params (iterable): iterable of parameters to optimize or dicts defining parameter groups lr (float): learning rate (required) gamma1: meta-learning rate 1 gamma2: meta-learning rate 2 gamma3: meta-learning rate 3 """ def __init__(self, params, lr=0.01, gamma1=0.01, gamma2=0.001, gamma3=0.01, device='cpu'): if not 0.0 <= lr: raise ValueError("Invalid learning rate: {}".format(lr)) defaults = dict(lr=lr, gamma1=gamma1, gamma2=gamma2, gamma3=gamma3) super(eAdLR, self).__init__(params, defaults) self.init_lr = lr self.iter = 0 self.device = device # Initialize previous grad self.prev_grad1 = dict({}) self.prev_grad2 = dict({}) for k, p in enumerate(self.param_groups[0]['params']): self.prev_grad1[k] = torch.zeros(p.size()).to(self.device) self.prev_grad2[k] = torch.zeros(p.size()).to(self.device) def __setstate__(self, state): super(eAdLR, self).__setstate__(state) @torch.no_grad() def step(self, closure=None): """ Performs a single optimization step. Arguments: closure (callable, optional): A closure that reevaluates the model and returns the loss. """ loss = None if closure is not None: with torch.enable_grad(): loss = closure() for group in self.param_groups: for k, p in enumerate(group['params']): if p.grad is None: continue grad = p.grad # Update weight p.add_(grad, alpha=-group['lr']) # Update learning rate if self.iter >= 3: group['lr'] = group['lr'] + \ group['gamma1'] * torch.dot(torch.flatten(self.prev_grad1[k]), torch.flatten(grad).to(self.device)) +\ group['gamma2'] * torch.dot(torch.flatten(self.prev_grad2[k]), torch.flatten(self.prev_grad1[k])) if group['lr'] < 0: group['lr'] = group['gamma3'] * self.init_lr # Store prev grad self.prev_grad2[k] = self.prev_grad1[k].detach().clone().to(self.device) self.prev_grad1[k] = grad.detach().clone().to(self.device) self.iter += 1 return loss class AdamAdLR(Optimizer): r"""Integrating the algorithm proposed in the paper "Efficient learning rate adaptation for CNN training" Author: S.V. Georgakopoulos and V.P. Plagianakos with ADAM optimizer Args: params (iterable): iterable of parameters to optimize or dicts defining parameter groups lr (float): learning rate (required) gamma1: meta-learning rate 1 gamma2: meta-learning rate 2 gamma3: meta-learning rate 3 """ def __init__(self, params, lr=0.01, gamma1=0.01, gamma2=0.001, gamma3=0.01, betas=(0.9, 0.999), eps=1e-8, weight_decay=0, amsgrad=False, device='cpu'): if not 0.0 <= lr: raise ValueError("Invalid learning rate: {}".format(lr)) if not 0.0 <= eps: raise ValueError("Invalid epsilon value: {}".format(eps)) if not 0.0 <= betas[0] < 1.0: raise ValueError("Invalid beta parameter at index 0: {}".format(betas[0])) if not 0.0 <= betas[1] < 1.0: raise ValueError("Invalid beta parameter at index 1: {}".format(betas[1])) if not 0.0 <= weight_decay: raise ValueError("Invalid weight_decay value: {}".format(weight_decay)) defaults = dict(lr=lr, gamma1=gamma1, gamma2=gamma2, gamma3=gamma3, betas=betas, eps=eps, weight_decay=weight_decay, amsgrad=amsgrad) super(AdamAdLR, self).__init__(params, defaults) self.init_lr = lr self.iter = 0 self.device = device # Initialize previous grad self.prev_grad1 = dict({}) self.prev_grad2 = dict({}) for k, p in enumerate(self.param_groups[0]['params']): self.prev_grad1[k] = torch.zeros(p.size()).to(self.device) self.prev_grad2[k] = torch.zeros(p.size()).to(self.device) def __setstate__(self, state): super(AdamAdLR, self).__setstate__(state) for group in self.param_groups: group.setdefault('amsgrad', False) @torch.no_grad() def step(self, closure=None): """ Performs a single optimization step. Arguments: closure (callable, optional): A closure that reevaluates the model and returns the loss. """ loss = None if closure is not None: with torch.enable_grad(): loss = closure() for group in self.param_groups: for k, p in enumerate(group['params']): if p.grad is None: continue grad = p.grad # Update weight if grad.is_sparse: raise RuntimeError('Adam does not support sparse gradients, please consider SparseAdam instead') amsgrad = group['amsgrad'] state = self.state[p] # State initialization if len(state) == 0: state['step'] = 0 # Exponential moving average of gradient values state['exp_avg'] = torch.zeros_like(p, memory_format=torch.preserve_format).to(self.device) # Exponential moving average of squared gradient values state['exp_avg_sq'] = torch.zeros_like(p, memory_format=torch.preserve_format).to(self.device) if amsgrad: # Maintains max of all exp. moving avg. of sq. grad. values state['max_exp_avg_sq'] = torch.zeros_like(p, memory_format=torch.preserve_format).to(self.device) exp_avg, exp_avg_sq = state['exp_avg'], state['exp_avg_sq'] if amsgrad: max_exp_avg_sq = state['max_exp_avg_sq'] beta1, beta2 = group['betas'] state['step'] += 1 bias_correction1 = 1 - beta1 ** state['step'] bias_correction2 = 1 - beta2 ** state['step'] if group['weight_decay'] != 0: grad = grad.add(p, alpha=group['weight_decay']) # Decay the first and second moment running average coefficient exp_avg.mul_(beta1).add_(grad, alpha=1 - beta1) exp_avg_sq.mul_(beta2).addcmul_(grad, grad, value=1 - beta2) if amsgrad: # Maintains the maximum of all 2nd moment running avg. till now torch.max(max_exp_avg_sq, exp_avg_sq, out=max_exp_avg_sq) # Use the max. for normalizing running avg. of gradient denom = (max_exp_avg_sq.sqrt() / math.sqrt(bias_correction2)).add_(group['eps']) else: denom = (exp_avg_sq.sqrt() / math.sqrt(bias_correction2)).add_(group['eps']) step_size = group['lr'] / bias_correction1 p.addcdiv_(exp_avg, denom, value=-step_size) # Update learning rate if self.iter >= 3: group['lr'] = group['lr'] + \ group['gamma1'] * torch.dot(torch.flatten(self.prev_grad1[k]), torch.flatten(grad).to(self.device)) +\ group['gamma2'] * torch.dot(torch.flatten(self.prev_grad2[k]), torch.flatten(self.prev_grad1[k])) if group['lr'] < 0: group['lr'] = group['gamma3'] * self.init_lr # Store prev grad self.prev_grad2[k] = self.prev_grad1[k].detach().clone().to(self.device) self.prev_grad1[k] = grad.detach().clone().to(self.device) self.iter += 1 return loss

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27ffe5d90c2d24711e625c2273a760cf9fd39e9c

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py

Python

src/icemac/ab/importer/tests/test_importer.py

icemac/icemac.ab.importer

05a80bf28a389a32acfdf4ba4a8a9add4e8fd3b5

[ "BSD-2-Clause" ]

1

2020-04-25T08:19:21.000Z

src/icemac/ab/importer/tests/test_importer.py

icemac/icemac.ab.importer

05a80bf28a389a32acfdf4ba4a8a9add4e8fd3b5

[ "BSD-2-Clause" ]

2

2020-02-22T08:31:50.000Z

2020-02-22T08:33:04.000Z

src/icemac/ab/importer/tests/test_importer.py

icemac/icemac.ab.importer

05a80bf28a389a32acfdf4ba4a8a9add4e8fd3b5

[ "BSD-2-Clause" ]

null

import zope.interface.verify import icemac.ab.importer.interfaces import icemac.ab.importer.importer def test_importer__Importer__1(): """It fulfills the `IImporter` interface.""" assert zope.interface.verify.verifyObject( icemac.ab.importer.interfaces.IImporter, icemac.ab.importer.importer.Importer())

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7e08a9724a3ea755a67a44f149f711cf34fb1f73

95

py

Python

django/FishTank/FishTankApp/admin.py

joshvillbrandt/FishTankApp

beb04400f612905a6df84f1eb4c565301301f868

[ "Apache-2.0" ]

2

2015-10-01T22:09:58.000Z

2017-05-03T14:24:36.000Z

django/FishTank/FishTankApp/admin.py

joshvillbrandt/FishTankApp

beb04400f612905a6df84f1eb4c565301301f868

[ "Apache-2.0" ]

null

django/FishTank/FishTankApp/admin.py

joshvillbrandt/FishTankApp

beb04400f612905a6df84f1eb4c565301301f868

[ "Apache-2.0" ]

null

from django.contrib import admin from FishTankApp.models import * admin.site.register(DataLog)

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194

py

Python

discodo/client/__init__.py

eunwoo1104/discodo

699250d4fb62d970acd2573a5d967966872b7403

[ "MIT" ]

105

2020-06-21T23:37:20.000Z

2022-02-11T14:27:07.000Z

discodo/client/__init__.py

eunwoo1104/discodo

699250d4fb62d970acd2573a5d967966872b7403

[ "MIT" ]

116

2020-07-12T03:55:24.000Z

2022-03-31T23:02:54.000Z

discodo/client/__init__.py

eunwoo1104/discodo

699250d4fb62d970acd2573a5d967966872b7403

[ "MIT" ]

32

2020-07-12T03:38:35.000Z

2022-02-02T23:03:29.000Z

from . import models from .node import Node, Nodes from .voice_client import VoiceClient try: import discord except ModuleNotFoundError: pass else: from .DPYClient import DPYClient

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py

Python

misc/benchmarks/simpleLoopAddition/simpleLoop.py

maxywb/Anvil

793793bdaf280e3eb461c22cb175c492424fb3cb

[ "MIT" ]

3

2015-11-07T11:55:25.000Z

2016-06-02T12:15:53.000Z

misc/benchmarks/simpleLoopAddition/simpleLoop.py

maxywb/Anvil

793793bdaf280e3eb461c22cb175c492424fb3cb

[ "MIT" ]

null

misc/benchmarks/simpleLoopAddition/simpleLoop.py

maxywb/Anvil

793793bdaf280e3eb461c22cb175c492424fb3cb

[ "MIT" ]

null

x = 0; for i in range(1000000): x = x + 1;

6.857143

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null

0

5

fdc5a2124901d1befa647d5894cc202081df4df5

55

py

Python

talk2car/modules/__init__.py

ThierryDeruyttere/VL-BERT-Talk2Car

7002f2159d4974af62e56e9be2f43ac45b70d04a

[ "MIT" ]

1

2021-09-18T16:57:29.000Z

talk2car/modules/__init__.py

ThierryDeruyttere/VL-BERT-Talk2Car

7002f2159d4974af62e56e9be2f43ac45b70d04a

[ "MIT" ]

null

talk2car/modules/__init__.py

ThierryDeruyttere/VL-BERT-Talk2Car

7002f2159d4974af62e56e9be2f43ac45b70d04a

[ "MIT" ]

null

from .resnet_vlbert_for_talk2car import ResNetVLBERT

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py

Python

venv/lib/python3.8/site-packages/numpy/typing/tests/data/pass/array_like.py

GiulianaPola/select_repeats

17a0d053d4f874e42cf654dd142168c2ec8fbd11

[ "MIT" ]

2

2022-03-13T01:58:52.000Z

2022-03-31T06:07:54.000Z

venv/lib/python3.8/site-packages/numpy/typing/tests/data/pass/array_like.py

DesmoSearch/Desmobot

b70b45df3485351f471080deb5c785c4bc5c4beb

[ "MIT" ]

19

2021-11-20T04:09:18.000Z

2022-03-23T15:05:55.000Z

venv/lib/python3.8/site-packages/numpy/typing/tests/data/pass/array_like.py

DesmoSearch/Desmobot

b70b45df3485351f471080deb5c785c4bc5c4beb

[ "MIT" ]

null

/home/runner/.cache/pip/pool/eb/24/d4/e0bb6ceef7d3aa0d220e6106359356da3ec729da820102f8ba8ea7efac

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fdfce7ad62fa155ab3abbfd4456211927dbc6bfc

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py

Python

backend/src/__init__.py

aar015/2048-deep-rl

9c8a9c5b43378658b4ff375bb53771213ee046b4

[ "MIT" ]

null

backend/src/__init__.py

aar015/2048-deep-rl

9c8a9c5b43378658b4ff375bb53771213ee046b4

[ "MIT" ]

null

backend/src/__init__.py

aar015/2048-deep-rl

9c8a9c5b43378658b4ff375bb53771213ee046b4

[ "MIT" ]

null

"""Source code for 2048 deep reinforcement player.""" from .index import app # noqa

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py

Python

scripts/convert_absolute_urls_to_relative.py

spencerc99/hugo-website

f58c9ea888ac80b24871b70dfcf329365f31d463

[ "MIT" ]

1

2020-04-29T04:19:49.000Z

scripts/convert_absolute_urls_to_relative.py

spencerc99/hugo-website

f58c9ea888ac80b24871b70dfcf329365f31d463

[ "MIT" ]

null

scripts/convert_absolute_urls_to_relative.py

spencerc99/hugo-website

f58c9ea888ac80b24871b70dfcf329365f31d463

[ "MIT" ]

null

# TODO: use the regexes in find_linked_articles to convert absolute urls to this site to relative.

49.5

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99

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0.939759

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0

null

0

1

0

1

0

5

e32080debd1cdcb499693cecfa2aee66e7ba853c

112

py

Python

runserver.py

rahulrrixe/libcloud.repl

b70f8d742af08e42afe1f5a9e91f329518b45f00

[ "Apache-2.0" ]

1

2015-04-15T09:56:42.000Z

runserver.py

rahulrrixe/libcloud.repl

b70f8d742af08e42afe1f5a9e91f329518b45f00

[ "Apache-2.0" ]

null

runserver.py

rahulrrixe/libcloud.repl

b70f8d742af08e42afe1f5a9e91f329518b45f00

[ "Apache-2.0" ]

null

# Import your application as: # from app import application # Example: from app import app app.run(debug=True)

16

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0.758929

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0.588235

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112

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30

18.666667

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0

1

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5

e3458fa7c24bdd13203299066333e7deec1de0dc

150

py

Python

finnhub/__init__.py

b3ll4t0r/finnhub-python

c4ef8d47042e62b6dd22494545172acf36c58d9c

[ "Apache-2.0" ]

298

2020-06-06T16:24:59.000Z

2022-03-27T05:02:43.000Z

finnhub/__init__.py

b3ll4t0r/finnhub-python

c4ef8d47042e62b6dd22494545172acf36c58d9c

[ "Apache-2.0" ]

37

2020-06-20T16:18:55.000Z

2022-02-19T15:23:46.000Z

finnhub/__init__.py

b3ll4t0r/finnhub-python

c4ef8d47042e62b6dd22494545172acf36c58d9c

[ "Apache-2.0" ]

56

2020-06-24T19:03:42.000Z

2022-03-29T18:12:37.000Z

from __future__ import absolute_import from finnhub.client import Client from finnhub.exceptions import FinnhubAPIException, FinnhubRequestException

30

75

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150

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150

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37.5

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0

5

e377e6b2ec7fa3a234e68b2e4f20345be00d4a01

149

py

Python

Python/MVC/Django/SimpleMessageBoardDone/board/admin.py

UndreamtMayhem/Back-End-Dev

742849277303a379947706bc39295c1897f66c85

[ "MIT" ]

null

Python/MVC/Django/SimpleMessageBoardDone/board/admin.py

UndreamtMayhem/Back-End-Dev

742849277303a379947706bc39295c1897f66c85

[ "MIT" ]

null

Python/MVC/Django/SimpleMessageBoardDone/board/admin.py

UndreamtMayhem/Back-End-Dev

742849277303a379947706bc39295c1897f66c85

[ "MIT" ]

null

from django.contrib import admin # Register your models here. from .models import Topic, Post admin.site.register(Topic) admin.site.register(Post)

21.285714

32

0.791946

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149

5.363636

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0.152542

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0.120805

149

7

33

21.285714

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0.174497

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1

0

null

0

1

0

1

0

5

8b72f075f7c5ef64e8a6488eb32ed11c3efb7a65

113

py

Python

django_crossdb_foreignkey/__init__.py

varuna-sd/django-crossdb-foreignkey

39cf8e5fc47b1cd1bb92f5455561b82cabcf7188

[ "MIT" ]

null

django_crossdb_foreignkey/__init__.py

varuna-sd/django-crossdb-foreignkey

39cf8e5fc47b1cd1bb92f5455561b82cabcf7188

[ "MIT" ]

null

django_crossdb_foreignkey/__init__.py

varuna-sd/django-crossdb-foreignkey

39cf8e5fc47b1cd1bb92f5455561b82cabcf7188

[ "MIT" ]

1

2021-06-03T12:03:53.000Z

"""Initialize django-crossdb-foreignkey package.""" from .fields import CrossDBForeignKey, CrossDBOneToOneField

28.25

59

0.823009

10

113

9.3

1

0

0.079646

113

3

60

37.666667

0.894231

0.39823

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

8b817348375dc659c32eaac6f6c44fa22ce1899c

259

py

Python

experiment/core/losses/__init__.py

ngxingyu/Domain-Transfer-for-Punctuation-Retrieval

f5aa0ea0946c68aaf7fcf49a5085e6c823766a2f

[ "Apache-2.0" ]

1

2021-05-06T11:51:33.000Z

experiment/core/losses/__init__.py

ngxingyu/Domain-Transfer-for-Punctuation-Retrieval

f5aa0ea0946c68aaf7fcf49a5085e6c823766a2f

[ "Apache-2.0" ]

null

experiment/core/losses/__init__.py

ngxingyu/Domain-Transfer-for-Punctuation-Retrieval

f5aa0ea0946c68aaf7fcf49a5085e6c823766a2f

[ "Apache-2.0" ]

null

from core.losses.cross_entropy_loss import CrossEntropyLoss from core.losses.dice_loss import FocalDiceLoss from core.losses.linear_chain_crf import LinearChainCRF from core.losses.aggregator import AggregatorLoss from core.losses.focal_loss import FocalLoss

43.166667

59

0.88417

36

259

6.194444

0.5

0.179372

0.313901

0

0.07722

259

5

60

51.8

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1

0

1

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1

0

5

8ba8742804bdc50f76f505734cac3470916b495d

141

py

Python

commands/__init__.py

bcbwilla/bcbbot

4dbfd011aed270464391c33129a46f4c362999d8

[ "MIT" ]

1

2016-03-03T17:37:27.000Z

commands/__init__.py

bcbwilla/bcbbot

4dbfd011aed270464391c33129a46f4c362999d8

[ "MIT" ]

null

commands/__init__.py

bcbwilla/bcbbot

4dbfd011aed270464391c33129a46f4c362999d8

[ "MIT" ]

null

from command_base import CommandBase from bcbcommand import BcbCommand from echo import Echo from test import Test from lights import Lights

23.5

36

0.858156

21

141

5.714286

0.428571

0

0.141844

141

5

37

28.2

0.991736

0

1

0

true

0

1

0

1

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0

null

0

1

0

1

0

1

0

5

4759bf55fd2405d2ce1726380d9f3eeb14cc16b5

255

py

Python

python/training/image_adapter.py

sergiuiacob1/monet-photos

4c11048cfba2f3a9f1df370b075b2abb8de0ab75

[ "MIT" ]

null

python/training/image_adapter.py

sergiuiacob1/monet-photos

4c11048cfba2f3a9f1df370b075b2abb8de0ab75

[ "MIT" ]

null

python/training/image_adapter.py

sergiuiacob1/monet-photos

4c11048cfba2f3a9f1df370b075b2abb8de0ab75

[ "MIT" ]

1

2020-10-27T07:18:26.000Z

class ImageAdapter: @staticmethod def to_network_input(dataset): return (dataset - 127.5) / 127.5 @staticmethod def to_image(normalized_images): images = normalized_images * 127.5 + 127.5 return images.astype(int)

25.5

50

0.658824

31

255

5.258065

0.516129

0.09816

0.208589

0.09816

0

0.08377

0.25098

255

9

51

28.333333

0.769634

0

0.25

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1

0.25

false

0

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0.625

0

null

0

1

0

1

0

null

0

1

0

1

0

5

47652570f76d6f059892821f01016d31ca532642

163

py

Python

hasker/qa/context_processors.py

kochnev/hacker

17d95aa794c78251c9765ac6878d216aec85bbb4

[ "MIT" ]

null

hasker/qa/context_processors.py

kochnev/hacker

17d95aa794c78251c9765ac6878d216aec85bbb4

[ "MIT" ]

null

hasker/qa/context_processors.py

kochnev/hacker

17d95aa794c78251c9765ac6878d216aec85bbb4

[ "MIT" ]

null

from .models import Question def hot_questions(request): questions = Question.objects.all().order_by('-rating')[:20] return {'hot_questions': questions}

23.285714

63

0.723926

20

163

5.75

0.75

0.208696

0

0.014184

0.134969

163

6

64

27.166667

0.801418

0

0.122699

0

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0.25

false

0

0.25

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0.75

0

1

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null

1

0

1

0

null

0

1

0

1

0

5

47656cbec7d231cf69a7bcd1116481b2abd70d8a

42

py

Python

slackpdb/exceptions.py

coddingtonbear/slack-pdb

651ca7e716c2c596c9cb1d382d9ad5aad7869cc3

[ "BSD-2-Clause" ]

2

2017-06-08T00:46:01.000Z

2020-01-22T22:26:29.000Z

slackpdb/exceptions.py

coddingtonbear/slack-pdb

651ca7e716c2c596c9cb1d382d9ad5aad7869cc3

[ "BSD-2-Clause" ]

null

slackpdb/exceptions.py

coddingtonbear/slack-pdb

651ca7e716c2c596c9cb1d382d9ad5aad7869cc3

[ "BSD-2-Clause" ]

null

class SlackpdbError(Exception): pass

10.5

31

0.738095

4

42

7.75

1

0

0.190476

42

3

32

14

0.911765

0

1

0

true

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

5

47bae9b22e186a47d023ba0480bc084fba9de459

434

py

Python

tests/test_linalg/test_solvers/cases/stopping_criteria.py

probabilistic-numerics/probnum

93c26c935282b48cca4c4db72616f1e4ebad2266

[ "MIT" ]

226

2019-11-01T09:44:09.000Z

2022-03-30T23:17:17.000Z

tests/test_linalg/test_solvers/cases/stopping_criteria.py

probabilistic-numerics/probnum

93c26c935282b48cca4c4db72616f1e4ebad2266

[ "MIT" ]

590

2019-11-21T08:32:30.000Z

2022-03-31T12:37:37.000Z

tests/test_linalg/test_solvers/cases/stopping_criteria.py

probabilistic-numerics/probnum

93c26c935282b48cca4c4db72616f1e4ebad2266

[ "MIT" ]

39

2020-01-13T16:29:45.000Z

2022-03-28T16:16:54.000Z

"""Stopping criteria test cases.""" from pytest_cases import parametrize from probnum.linalg.solvers import stopping_criteria def case_maxiter(): return stopping_criteria.MaxIterationsStopCrit() def case_residual_norm(): return stopping_criteria.ResidualNormStopCrit() @parametrize("qoi", ["x", "Ainv", "A"]) def case_posterior_contraction(qoi: str): return stopping_criteria.PosteriorContractionStopCrit(qoi=qoi)

22.842105

66

0.78341

48

434

6.875

0.5625

0.242424

0.2

0

0.112903

434

18

67

24.111111

0.857143

0.06682

0

0.022556

0

1

0.333333

false

0

0.222222

0.333333

0.888889

0

null

1

0

null

0

1

0

1

0

5

47e0253e3a655cf3341d1a7207d4348b500eaf74

6,322

py

Python

boa3_test/tests/test_arithmetic.py

jplippi/neo3-boa

052be4adebb665113715bb80067d954f7ad85ad5

[ "Apache-2.0" ]

null

boa3_test/tests/test_arithmetic.py

jplippi/neo3-boa

052be4adebb665113715bb80067d954f7ad85ad5

[ "Apache-2.0" ]

null

boa3_test/tests/test_arithmetic.py

jplippi/neo3-boa

052be4adebb665113715bb80067d954f7ad85ad5

[ "Apache-2.0" ]

null

from boa3.boa3 import Boa3 from boa3.exception.CompilerError import MismatchedTypes, NotSupportedOperation, UnresolvedReference from boa3.neo.vm.opcode.Opcode import Opcode from boa3_test.tests.boa_test import BoaTest class TestArithmetic(BoaTest): def test_addition_operation(self): expected_output = ( Opcode.INITSLOT + b'\x00' + b'\x02' + Opcode.LDARG0 + Opcode.LDARG1 + Opcode.ADD + Opcode.RET ) path = '%s/boa3_test/example/arithmetic_test/Addition.py' % self.dirname output = Boa3.compile(path) self.assertEqual(expected_output, output) def test_subtraction_operation(self): expected_output = ( Opcode.INITSLOT + b'\x00' + b'\x02' + Opcode.LDARG0 + Opcode.LDARG1 + Opcode.SUB + Opcode.RET ) path = '%s/boa3_test/example/arithmetic_test/Subtraction.py' % self.dirname output = Boa3.compile(path) self.assertEqual(expected_output, output) def test_multiplication_operation(self): expected_output = ( Opcode.INITSLOT + b'\x00' + b'\x02' + Opcode.LDARG0 + Opcode.LDARG1 + Opcode.MUL + Opcode.RET ) path = '%s/boa3_test/example/arithmetic_test/Multiplication.py' % self.dirname output = Boa3.compile(path) self.assertEqual(expected_output, output) def test_division_operation(self): path = '%s/boa3_test/example/arithmetic_test/Division.py' % self.dirname with self.assertRaises(UnresolvedReference): output = Boa3.compile(path) def test_integer_division_operation(self): expected_output = ( Opcode.INITSLOT + b'\x00' + b'\x02' + Opcode.LDARG0 + Opcode.LDARG1 + Opcode.DIV + Opcode.RET ) path = '%s/boa3_test/example/arithmetic_test/IntegerDivision.py' % self.dirname output = Boa3.compile(path) self.assertEqual(expected_output, output) def test_modulo_operation(self): expected_output = ( Opcode.INITSLOT + b'\x00' + b'\x02' + Opcode.LDARG0 + Opcode.LDARG1 + Opcode.MOD + Opcode.RET ) path = '%s/boa3_test/example/arithmetic_test/Modulo.py' % self.dirname output = Boa3.compile(path) self.assertEqual(expected_output, output) def test_positive_operation(self): expected_output = ( Opcode.INITSLOT + b'\x00' + b'\x01' + Opcode.LDARG0 + Opcode.RET ) path = '%s/boa3_test/example/arithmetic_test/Positive.py' % self.dirname output = Boa3.compile(path) self.assertEqual(expected_output, output) def test_negative_operation(self): expected_output = ( Opcode.INITSLOT + b'\x00' + b'\x01' + Opcode.LDARG0 + Opcode.NEGATE + Opcode.RET ) path = '%s/boa3_test/example/arithmetic_test/Negative.py' % self.dirname output = Boa3.compile(path) self.assertEqual(expected_output, output) def test_concatenation_operation(self): path = '%s/boa3_test/example/arithmetic_test/Concatenation.py' % self.dirname with self.assertRaises(NotSupportedOperation): output = Boa3.compile(path) def test_exponentiation_operation(self): path = '%s/boa3_test/example/arithmetic_test/Exponentiation.py' % self.dirname with self.assertRaises(UnresolvedReference): output = Boa3.compile(path) def test_mismatched_type_binary_operation(self): path = '%s/boa3_test/example/arithmetic_test/MismatchedOperandBinary.py' % self.dirname with self.assertRaises(MismatchedTypes): output = Boa3.compile(path) def test_mismatched_type_unary_operation(self): path = '%s/boa3_test/example/arithmetic_test/MismatchedOperandUnary.py' % self.dirname with self.assertRaises(MismatchedTypes): output = Boa3.compile(path) def test_sequence_addition(self): expected_output = ( Opcode.INITSLOT + b'\x00' + b'\x02' + Opcode.PUSH4 + Opcode.LDARG1 + Opcode.ADD + Opcode.LDARG0 + Opcode.ADD + Opcode.RET ) path = '%s/boa3_test/example/arithmetic_test/AdditionThreeElements.py' % self.dirname output = Boa3.compile(path) self.assertEqual(expected_output, output) def test_mixed_operations(self): expected_output = ( Opcode.INITSLOT + b'\x00' + b'\x05' + Opcode.LDARG0 + Opcode.LDARG2 + Opcode.LDARG4 + Opcode.MUL # multiplicative operations + Opcode.ADD # additive operations + Opcode.LDARG3 + Opcode.NEGATE # parentheses + Opcode.LDARG1 + Opcode.DIV # multiplicative + Opcode.SUB # additive + Opcode.RET ) path = '%s/boa3_test/example/arithmetic_test/MixedOperations.py' % self.dirname output = Boa3.compile(path) self.assertEqual(expected_output, output) def test_mixed_operations_with_parentheses(self): expected_output = ( Opcode.INITSLOT + b'\x00' + b'\x05' + Opcode.LDARG0 + Opcode.LDARG2 + Opcode.LDARG4 + Opcode.LDARG3 + Opcode.NEGATE # inside parentheses + Opcode.SUB # parentheses + Opcode.MUL # multiplicative operations + Opcode.LDARG1 + Opcode.DIV # multiplicative + Opcode.ADD # additive operations + Opcode.RET ) path = '%s/boa3_test/example/arithmetic_test/WithParentheses.py' % self.dirname output = Boa3.compile(path) self.assertEqual(expected_output, output)

29.962085

100

0.572445

610

6,322

5.786885

0.127869

0.07932

0.038244

0.055241

0.798017

0.758074

0.717564

0.709632

0.547309

0

0.024053

0.335811

6,322

210

101

30.104762

0.816623

0.027365

0

0.714286

0

0.143532

0.130499

0

0.089286

1

0.089286

false

0

0.02381

0

0.119048

0

null

0

1

0

1

0

null

0

5

9a1bcf1422368cbc8f0d7e849a9b3a5cbf86438b

50

py

Python

code_icc/scripts/cluster/baselines/__init__.py

ThmCuong/IIC-Python3

5a02b40ffa07b159fa7e89cf5b4ed781f4798ff1

[ "MIT" ]

null

code_icc/scripts/cluster/baselines/__init__.py

ThmCuong/IIC-Python3

5a02b40ffa07b159fa7e89cf5b4ed781f4798ff1

[ "MIT" ]

null

code_icc/scripts/cluster/baselines/__init__.py

ThmCuong/IIC-Python3

5a02b40ffa07b159fa7e89cf5b4ed781f4798ff1

[ "MIT" ]

null

from . import triplets_greyscale, triplets_sobel

25

49

0.84

6

50

6.666667

0.833333

0

0.12

50

1

50

0.909091

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

d0163cbff8720511c44a5519484d70321366ca59

259

py

Python

Sloth/__init__.py

NewKnowledge/sloth

ed6c9011962f76a1ad1498a03af8b31ac75c6576

[ "MIT" ]

null

Sloth/__init__.py

NewKnowledge/sloth

ed6c9011962f76a1ad1498a03af8b31ac75c6576

[ "MIT" ]

2

2018-11-26T23:17:15.000Z

2019-04-17T21:39:20.000Z

Sloth/__init__.py

NewKnowledge/sloth

ed6c9011962f76a1ad1498a03af8b31ac75c6576

[ "MIT" ]

null

from Sloth.cluster import KMeans from Sloth.classify import Shapelets from Sloth.classify import Knn from Sloth.predict import Arima __version__ = '2.0.6' __all__ = [ 'KMeans', 'Shapelets', 'Knn', 'Arima', ]

18.5

36

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29

259

5.137931

0.517241

0.241611

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0.308725

0

0.016575

0.301158

259

13

37

19.923077

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false

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0

1

0

null

1

0

null

0

1

0

5

d02ac6d4dae428b3b35339148a6541cc1822c538

767

py

Python

test/test.py

lyon916/pyecharts

40efd119ec7bccb4bc3d5dab985ec7aca2936911

[ "MIT" ]

null

test/test.py

lyon916/pyecharts

40efd119ec7bccb4bc3d5dab985ec7aca2936911

[ "MIT" ]

null

test/test.py

lyon916/pyecharts

40efd119ec7bccb4bc3d5dab985ec7aca2936911

[ "MIT" ]

null

from test.test_bar import test_bar from test.test_custom import test_custom from test.test_effectscatter import test_effectscatter from test.test_funnel import test_funnel from test.test_gauge import test_gague from test.test_geo import test_geo from test.test_graph import test_graph from test.test_grid import test_grid from test.test_heatmap import test_heatmap from test.test_kline import test_kline from test.test_line import test_line from test.test_liquid import test_liquid from test.test_map import test_map from test.test_parallel import test_parallel from test.test_pie import test_pie from test.test_polar import test_polar from test.test_radar import test_radar from test.test_scatter import test_scatter from test.test_wordcloud import test_wordcloud

34.863636

54

0.873533

133

767

4.75188

0.172932

0.240506

0.360759

0

0.101695

767

21

55

36.52381

0.917271

0

1

0

true

0

1

0

1

0

null

1

0

null

0

1

0

1

0

1

0

5

d04998d074817f05bfca5645ca3cf057fc9877bb

42

py

Python

blm/__init__.py

famura/blm

64710e108865f4fbb056bd53e00d1a0865139f5a

[ "MIT" ]

3

2021-04-01T15:27:10.000Z

2022-03-12T08:24:15.000Z

blm/__init__.py

famura/blm

64710e108865f4fbb056bd53e00d1a0865139f5a

[ "MIT" ]

null

blm/__init__.py

famura/blm

64710e108865f4fbb056bd53e00d1a0865139f5a

[ "MIT" ]

null

from .backlash_model import BacklashModel

21

41

0.880952

5

42

7.2

1

0

0.095238

42

1

42

0.947368

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

d07c042fc729457af1f7069537ba484c48f4dc03

124

py

Python

lib/cmd.py

sergei-dyshel/tmux-clost

699723565cfecc2ef2d6ededb258d57d467792f4

[ "MIT" ]

null

lib/cmd.py

sergei-dyshel/tmux-clost

699723565cfecc2ef2d6ededb258d57d467792f4

[ "MIT" ]

null

lib/cmd.py

sergei-dyshel/tmux-clost

699723565cfecc2ef2d6ededb258d57d467792f4

[ "MIT" ]

null

class Command(object): def get_option(self, name): pass def run(self, ): raise NotImplementedError

17.714286

33

0.620968

14

124

5.428571

0.857143

0

0.290323

124

6

34

20.666667

0.863636

0

1

0.4

false

0.2

0

0.6

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

d080680a9127553cc14776784d89d4200920468e

134

py

Python

ABC_A/ABC083_A.py

ryosuke0825/atcoder_python

185cdbe7db44ecca1aaf357858d16d31ce515ddb

[ "MIT" ]

null

ABC_A/ABC083_A.py

ryosuke0825/atcoder_python

185cdbe7db44ecca1aaf357858d16d31ce515ddb

[ "MIT" ]

null

ABC_A/ABC083_A.py

ryosuke0825/atcoder_python

185cdbe7db44ecca1aaf357858d16d31ce515ddb

[ "MIT" ]

null

a, b, c, d = map(int, input().split()) if a+b > c+d: print("Left") elif a+b < c+d: print("Right") else: print("Balanced")

16.75

38

0.522388

25

134

2.8

0.6

0.085714

0.128571

0.171429

0.257143

0

0.231343

134

7

39

19.142857

0.679612

0

0.126866

0

1

0

true

0

0.428571

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

d0931755a0f0a46ab72259218ed4670fd2f630b3

36

py

Python

broccoli_server/interface/api/__init__.py

KTachibanaM/broccoli-platform

31d3ee4246a3c035ed3d1ce8657fa7d4567c3092

[ "Apache-2.0" ]

7

2018-02-19T20:12:59.000Z

2018-06-11T11:14:26.000Z

broccoli_server/interface/api/__init__.py

KTachibanaM/broccoli-platform

31d3ee4246a3c035ed3d1ce8657fa7d4567c3092

[ "Apache-2.0" ]

50

2020-06-05T22:55:49.000Z

2022-03-18T05:15:29.000Z

broccoli_server/interface/api/__init__.py

k-t-corp/broccoli-server

16f3966e8391326a5cd5125bb0d5c7306f9e1490

[ "Apache-2.0" ]

1

2018-02-20T08:33:08.000Z

from .api_handler import ApiHandler

18

35

0.861111

5

36

6

1

0

0.111111

36

1

36

0.9375

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

d09a318b5bb85c9350fe31fa692737b32476f9c2

172

py

Python

api/shipments/admin.py

VidroX/stockii

237f30aa4b3b061bc0e9a1362c7ab66375feb59e

[ "Apache-2.0" ]

null

api/shipments/admin.py

VidroX/stockii

237f30aa4b3b061bc0e9a1362c7ab66375feb59e

[ "Apache-2.0" ]

null

api/shipments/admin.py

VidroX/stockii

237f30aa4b3b061bc0e9a1362c7ab66375feb59e

[ "Apache-2.0" ]

null

from django.contrib import admin from shipments.models import Provider, Shipment # Register your models here. admin.site.register(Provider) admin.site.register(Shipment)

21.5

47

0.819767

23

172

6.130435

0.565217

0.12766

0.241135

0

0.104651

172

7

48

24.571429

0.915584

0.151163

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

d0ae7a4ca53cde8fe7a553156492c435b1124096

173

py

Python

linuxmachinebeta/review/apps.py

linux-machine/linuxmachinebeta

78225eb8fdf4f0850f0c091c102e9da7876cfeed

[ "MIT" ]

null

linuxmachinebeta/review/apps.py

linux-machine/linuxmachinebeta

78225eb8fdf4f0850f0c091c102e9da7876cfeed

[ "MIT" ]

null

linuxmachinebeta/review/apps.py

linux-machine/linuxmachinebeta

78225eb8fdf4f0850f0c091c102e9da7876cfeed

[ "MIT" ]

null

from django.apps import AppConfig class ReviewConfig(AppConfig): name = 'linuxmachinebeta.review' def ready(self): import linuxmachinebeta.review.signals

19.222222

46

0.739884

18

173

7.111111

0.777778

0.34375

0

0.184971

173

8

47

21.625

0.907801

0

0.132948

0

1

0.2

false

0

0.4

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

d0c487b5daf2a1f115a9a17f77450c315daaac3c

270

py

Python

second/core/non_max_suppression/__init__.py

kylevedder/second.pytorch

d3995825b7106595df02e586dc2e206d940dda5a

[ "MIT" ]

null

second/core/non_max_suppression/__init__.py

kylevedder/second.pytorch

d3995825b7106595df02e586dc2e206d940dda5a

[ "MIT" ]

null

second/core/non_max_suppression/__init__.py

kylevedder/second.pytorch

d3995825b7106595df02e586dc2e206d940dda5a

[ "MIT" ]

null

from second.core.non_max_suppression.nms_cpu import nms_jit, soft_nms_jit import torch if torch.cuda.is_available(): from second.core.non_max_suppression.nms_gpu import (nms_gpu, rotate_iou_gpu, rotate_nms_gpu)

38.571429

79

0.666667

38

270

4.342105

0.5

0.109091

0.169697

0.206061

0.412121

0

0.274074

270

6

80

45

0.841837

0

1

0

true

0

0.6

0

0.6

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

5

d0dc58bdf06fe10b63605c9bb7b643de6ba85cee

53

py

Python

Attack_SplitNN/build/lib/attacksplitnn/attack/labelleakage/labelleakage.py

EduardaChagas/Cybersecurity-FL

52db1a31e71e021f2ce57231a27341c4c080ad3b

[ "MIT" ]

10

2021-04-16T00:38:34.000Z

2022-02-11T01:28:52.000Z

Attack_SplitNN/build/lib/attacksplitnn/attack/labelleakage/labelleakage.py

EduardaChagas/Cybersecurity-FL

52db1a31e71e021f2ce57231a27341c4c080ad3b

[ "MIT" ]

7

2021-03-27T04:49:06.000Z

2021-06-20T06:16:32.000Z

Attack_SplitNN/build/lib/attacksplitnn/attack/labelleakage/labelleakage.py

EduardaChagas/Cybersecurity-FL

52db1a31e71e021f2ce57231a27341c4c080ad3b

[ "MIT" ]

3

2021-07-07T21:55:52.000Z

2022-03-17T21:17:51.000Z

from ...splitnn.model import Client, Server, SplitNN

26.5

52

0.773585

7

53

5.857143

0.857143

0

0.113208

53

1

53

0.87234

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

d0dce7ff32eb8e0ac410e1ac9e04108947700f4b

331

py

Python

tests/base.py

Kolumbs/membank

6cdfa8afc3b87ab9aafeca5fc95137ec897b6db6

[ "BSD-3-Clause" ]

null

tests/base.py

Kolumbs/membank

6cdfa8afc3b87ab9aafeca5fc95137ec897b6db6

[ "BSD-3-Clause" ]

null

tests/base.py

Kolumbs/membank

6cdfa8afc3b87ab9aafeca5fc95137ec897b6db6

[ "BSD-3-Clause" ]

null

""" Common methods and constants for all tests """ import os import unittest TEST_DATABASE_PATH = "tests/data/test_database.db" class TestCase(unittest.TestCase): """ Generic TestCase class """ relative_path = f"sqlite://{TEST_DATABASE_PATH }" absolute_path = f"sqlite://{os.getcwd()}/{TEST_DATABASE_PATH}"

19.470588

66

0.703927

42

331

5.333333

0.547619

0.214286

0

0.163142

331

16

67

20.6875

0.808664

0.196375

0

0.411523

0.403292

0

1

0

false

0

0.333333

0

0.833333

0

null

1

0

1

null

0

1

0

1

0

5

d0ebea6360fc9c4e89dc6f787410d7270be9e89f

2,060

py

Python

verify_lights.py

andrewevans0102/weather-lamp

fb4d1a764b01fd3c50c0e69f9f9765dcedb8ccbc

[ "MIT" ]

null

verify_lights.py

andrewevans0102/weather-lamp

fb4d1a764b01fd3c50c0e69f9f9765dcedb8ccbc

[ "MIT" ]

null

verify_lights.py

andrewevans0102/weather-lamp

fb4d1a764b01fd3c50c0e69f9f9765dcedb8ccbc

[ "MIT" ]

1

2021-03-30T18:07:27.000Z

import RPi.GPIO as GPIO import time white_light=21 green_light=20 yellow_light=16 blue_light=14 red_light=18 red_2=17 blue_2=27 yellow_2=22 green_2=10 white_2=9 GPIO.setmode(GPIO.BCM) GPIO.setwarnings(False) GPIO.setup(white_light,GPIO.OUT) print("LED on") GPIO.output(white_light,GPIO.HIGH) time.sleep(1) print("LED off") GPIO.output(white_light,GPIO.LOW) GPIO.setmode(GPIO.BCM) GPIO.setwarnings(False) GPIO.setup(green_light,GPIO.OUT) print("LED on") GPIO.output(green_light,GPIO.HIGH) time.sleep(1) print("LED off") GPIO.output(green_light,GPIO.LOW) GPIO.setmode(GPIO.BCM) GPIO.setwarnings(False) GPIO.setup(yellow_light,GPIO.OUT) print("LED on") GPIO.output(yellow_light,GPIO.HIGH) time.sleep(1) print("LED off") GPIO.output(yellow_light,GPIO.LOW) GPIO.setmode(GPIO.BCM) GPIO.setwarnings(False) GPIO.setup(blue_light,GPIO.OUT) print("LED on") GPIO.output(blue_light,GPIO.HIGH) time.sleep(1) print("LED off") GPIO.output(blue_light,GPIO.LOW) GPIO.setmode(GPIO.BCM) GPIO.setwarnings(False) GPIO.setup(red_light,GPIO.OUT) print("LED on") GPIO.output(red_light,GPIO.HIGH) time.sleep(1) print("LED off") GPIO.output(red_light,GPIO.LOW) GPIO.setmode(GPIO.BCM) GPIO.setwarnings(False) GPIO.setup(red_2,GPIO.OUT) print("LED on") GPIO.output(red_2,GPIO.HIGH) time.sleep(1) print("LED off") GPIO.output(red_2,GPIO.LOW) GPIO.setmode(GPIO.BCM) GPIO.setwarnings(False) GPIO.setup(blue_2,GPIO.OUT) print("LED on") GPIO.output(blue_2,GPIO.HIGH) time.sleep(1) print("LED off") GPIO.output(blue_2,GPIO.LOW) GPIO.setmode(GPIO.BCM) GPIO.setwarnings(False) GPIO.setup(yellow_2,GPIO.OUT) print("LED on") GPIO.output(yellow_2,GPIO.HIGH) time.sleep(1) print("LED off") GPIO.output(yellow_2,GPIO.LOW) GPIO.setmode(GPIO.BCM) GPIO.setwarnings(False) GPIO.setup(green_2,GPIO.OUT) print("LED on") GPIO.output(green_2,GPIO.HIGH) time.sleep(1) print("LED off") GPIO.output(green_2,GPIO.LOW) GPIO.setmode(GPIO.BCM) GPIO.setwarnings(False) GPIO.setup(white_2,GPIO.OUT) print("LED on") GPIO.output(white_2,GPIO.HIGH) time.sleep(1) print("LED off") GPIO.output(white_2,GPIO.LOW)

19.807692

35

0.772816

377

2,060

4.116711

0.098143

0.103093

0.096649

0.115979

0.91817

0.914948

0.69201

0

0.025349

0.06165

2,060

103

36

20

0.777548

0

0.543478

0

0.063107

0

1

0

false

0

0.021739

0

0.021739

0.217391

0

null

0

1

0

1

0

null

0

5

d0fd601b9b4cdd119030008a16dabb28df3eed1b

25

py

Python

version.py

barcesat/adam_io

c9b36a696dca2338de02925cc9af78bc59b55fce

[ "MIT" ]

1

2021-12-12T22:42:11.000Z

version.py

barcesat/adam_io

c9b36a696dca2338de02925cc9af78bc59b55fce

[ "MIT" ]

3

2020-11-30T11:26:04.000Z

2020-12-15T11:34:01.000Z

version.py

barcesat/adam_io

c9b36a696dca2338de02925cc9af78bc59b55fce

[ "MIT" ]

1

2021-12-01T12:33:49.000Z

__version__='2.1238.1003'

25

0.8

4

25

4

1

0

0.36

0

25

1

25

0.28

0

0.423077

0

1

0

false

0

1

0

null

0

1

0

1

0

1

0

null

0

5

1901e41a1f7bd155497a260a173f827ec5403565

370

py

Python

09-functional-programming/higherorderfunctions/higher-order2.py

johnehunt/PythonCleanCode

b0ade446cc98cdc1379f06ad20cc3c6de772a2bb

[ "Apache-2.0" ]

1

2020-05-11T13:58:29.000Z

09-functional-programming/higherorderfunctions/higher-order2.py

johnehunt/PythonCleanCode

b0ade446cc98cdc1379f06ad20cc3c6de772a2bb

[ "Apache-2.0" ]

null

09-functional-programming/higherorderfunctions/higher-order2.py

johnehunt/PythonCleanCode

b0ade446cc98cdc1379f06ad20cc3c6de772a2bb

[ "Apache-2.0" ]

null

def mult_by_two(num): return num * 2 def mult_by_five(num): return num * 5 def square(num): return num * num def add_one(num): return num + 1 def apply(num, func): return func(num) result = apply(10, mult_by_two) print(result) print(apply(10, mult_by_five)) print(apply(10, square)) print(apply(10, add_one)) print(apply(10, mult_by_two))

13.214286

31

0.672973

65

370

3.646154

0.276923

0.126582

0.202532

0.164557

0.232068

0

0.043771

0.197297

370

27

32

13.703704

0.754209

0

1

0.3125

false

0

0.3125

0.625

0.3125

0

null

0

1

0

null

0

1

0

1

0

5

ef78f8b7e365309673a677f9012562ffce66a72e

7,430

py

Python

Code/tg_offer_stats.py

fmott/two_goal_task

b2a7948ced432b48566d8d00e97e83a65fba7ca5

[ "MIT" ]

null

Code/tg_offer_stats.py

fmott/two_goal_task

b2a7948ced432b48566d8d00e97e83a65fba7ca5

[ "MIT" ]

null

Code/tg_offer_stats.py

fmott/two_goal_task

b2a7948ced432b48566d8d00e97e83a65fba7ca5

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Created on Mon Oct 21 11:27:40 2019 @author: ott """ #%% Load stuff import numpy as np import pandas as pd import matplotlib.pyplot as plt from tg_set_globalplotting import tg_set_globalplotting dat = pd.read_csv('../Results/preprocessed_results.csv') tg_set_globalplotting(style='frontiers') #%% Offers statistics n_trials = np.sum( (dat['phase'] > 1) & (dat['subject'] == 1) ) # whole experiment n_offer = np.zeros(4) for o in range(4): n_offer[o] = np.sum( (dat['offer'] == o+1) & (dat['phase'] > 1) & (dat['subject'] == 1) ) # trialwise n_offer_t = np.zeros((4,15)) for o in range(4): for t in range(15): n_offer_t[o,t] = np.sum( (dat['offer'] == o+1) & (dat['phase'] > 1) & (dat['subject'] == 1) & (dat['trial'] == t+1)) # miniblockwise n_offer_b = np.zeros((4,60)) for o in range(4): idx_b = 0 for b in range(20): for p in range(3): n_offer_b[o,idx_b] = np.sum( (dat['offer'] == o+1) & (dat['phase'] == p+2) & (dat['subject'] == 1) & (dat['block'] == b+1)) idx_b+=1 # difficulty-wise n_offer_j = np.zeros((4,3)) for o in range(4): for j in range(2,-1,-1): n_offer_j[o,j] = np.sum( (dat['offer'] == o+1) & (dat['phase'] > 1) & (dat['subject'] == 1) & ( (dat['start_condition'] == 1 + 2*j)|(dat['start_condition'] == 2 + 2*j)) ) # difficulty-wise & trialwise n_offer_jt = np.zeros((4,3,15)) for o in range(4): for j in range(2,-1,-1): for t in range(15): n_offer_jt[o,j,t] = np.sum( (dat['offer'] == o+1) & (dat['phase'] > 1) & (dat['subject'] == 1) & ( (dat['start_condition'] == 1 + 2*j)|(dat['start_condition'] == 2 + 2*j)) & (dat['trial'] == t+1) ) # difficulty-wise & blockwise n_offer_jb = np.zeros((4,3,20)) for o in range(4): for j in range(2,-1,-1): idx_b = 0 idx_z = 0 for b in range(20): for p in range(3): if np.sum( (dat['offer'] == o+1) & (dat['phase'] == p + 2) & (dat['subject'] == 1) & ( (dat['start_condition'] == 1 + 2*j)|(dat['start_condition'] == 2 + 2*j)) & (dat['block'] == b+1) ) > 0: n_offer_jb[o,j,idx_z] = np.sum( (dat['offer'] == o+1) & (dat['phase'] == p + 2) & (dat['subject'] == 1) & ( (dat['start_condition'] == 1 + 2*j)|(dat['start_condition'] == 2 + 2*j)) & (dat['block'] == b+1) ) idx_z+=1 idx_b+=1 #%% Draw histograms #%% n_offer titles = ['A','B','Ab','aB'] fig,axes = plt.subplots(ncols = 1,nrows = 1, figsize = (3.3,2.3)) axes.bar(range(4), n_offer) axes.spines['top'].set_visible(False) axes.spines['right'].set_visible(False) axes.xaxis.set_tick_params(top='off', direction='out', width=1) axes.yaxis.set_tick_params(right='off', direction='out', width=1) axes.set_ylim(0,250) axes.set_yticks(range(0,250,25)) axes.set_xticks(range(4)) axes.set_xticklabels(titles ) axes.set_ylabel('Number') axes.set_xlabel('Offer') plt.tight_layout() #fig.savefig('n_offer.png', dpi=300, bbox_inches='tight', transparent=True) #%% n_offer_t titles = ['A','B','Ab','aB'] fig,ax = plt.subplots(ncols = 2,nrows = 2, figsize = (7,4)) for i, axes in enumerate(ax.flat): axes.bar(range(15), n_offer_t[i,:]) axes.set_title(titles[i]) axes.spines['top'].set_visible(False) axes.spines['right'].set_visible(False) axes.xaxis.set_tick_params(top='off', direction='out', width=1) axes.yaxis.set_tick_params(right='off', direction='out', width=1) axes.set_ylim(0,25) axes.set_xticks(range(0,15,2)) axes.set_xticklabels(range(1,16,2) ) axes.set_ylabel('Number') axes.set_xlabel('Trial') plt.tight_layout() #fig.savefig('n_offer_t.png', dpi=300, bbox_inches='tight', transparent=True) #%% n_offer_b titles = ['A','B','Ab','aB'] k=1 fig,ax = plt.subplots(ncols = 2,nrows = 2, figsize = (7*k,4*k)) for i, axes in enumerate(ax.flat): axes.bar(range(60), n_offer_b[i,:],width = 0.6) axes.set_title(titles[i]) axes.spines['top'].set_visible(False) axes.spines['right'].set_visible(False) axes.xaxis.set_tick_params(top='off', direction='out', width=1) axes.yaxis.set_tick_params(right='off', direction='out', width=1) axes.set_ylim(0,8) axes.set_xlim(0,61) axes.set_xticks(range(4,64,5)) axes.set_xticklabels(range(5,65,5) ) axes.set_ylabel('Number') axes.set_xlabel('Miniblock') plt.tight_layout() #fig.savefig('n_offer_b.png', dpi=300, bbox_inches='tight', transparent=True) #%% n_offer_j titles = ['A','B','Ab','aB'] conds = ['easy', 'medium', 'hard'] k=1 fig,ax = plt.subplots(ncols = 3,nrows = 1, figsize = (7*k,1.8*k)) for i, axes in enumerate(ax.flat): axes.bar(range(4), n_offer_j[:,i]) axes.set_title(conds[i]) axes.spines['top'].set_visible(False) axes.spines['right'].set_visible(False) axes.xaxis.set_tick_params(top='off', direction='out', width=1) axes.yaxis.set_tick_params(right='off', direction='out', width=1) axes.set_ylim(0,85) axes.set_xticks(range(4)) axes.set_xticklabels(titles) axes.set_ylabel('Number') axes.set_xlabel('Offer') plt.tight_layout() #fig.savefig('n_offer_j.png', dpi=300, bbox_inches='tight', transparent=True) #%% n_offer_jt titles = ['A','B','Ab','aB'] colors =['red', 'green', 'blue'] fig,ax = plt.subplots(ncols = 4,nrows = 3, figsize = (7,4)) idx = 0 for i, axes in enumerate(ax.flat): if i < 4: axes.bar(range(15), n_offer_jt[i,0,:]) axes.set_title(titles[i]) elif (i >=4) & (i < 8) : axes.bar(range(15), n_offer_jt[i-4,1,:]) else: axes.bar(range(15), n_offer_jt[i-8,2,:]) axes.set_xlabel('Trial') if i == 0: axes.set_ylabel('easy\nNumber') elif i == 4: axes.set_ylabel('medium\nNumber') elif i == 8: axes.set_ylabel('hard\nNumber') axes.spines['top'].set_visible(False) axes.spines['right'].set_visible(False) axes.xaxis.set_tick_params(top='off', direction='out', width=1) axes.yaxis.set_tick_params(right='off', direction='out', width=1) axes.set_ylim(0,12) axes.set_xticks(range(0,15,2)) axes.set_xticklabels(range(1,16,2) ) plt.tight_layout() #fig.savefig('n_offer_jt.png', dpi=300, bbox_inches='tight', transparent=True) #%% n_offer_jb titles = ['A','B','Ab','aB'] colors =['red', 'green', 'blue'] fig,ax = plt.subplots(ncols = 4,nrows = 3, figsize = (7,4)) idx = 0 for i, axes in enumerate(ax.flat): if i < 4: axes.bar(range(20), n_offer_jb[i,0,:]) axes.set_title(titles[i]) elif (i >=4) & (i < 8) : axes.bar(range(20), n_offer_jb[i-4,1,:]) else: axes.bar(range(20), n_offer_jb[i-8,2,:]) axes.set_xlabel('Miniblock') if i == 0: axes.set_ylabel('easy\nNumber') elif i == 4: axes.set_ylabel('medium\nNumber') elif i == 8: axes.set_ylabel('hard\nNumber') axes.spines['top'].set_visible(False) axes.spines['right'].set_visible(False) axes.xaxis.set_tick_params(top='off', direction='out', width=1) axes.yaxis.set_tick_params(right='off', direction='out', width=1) axes.set_ylim(0,12) axes.set_xticks(range(0,20,2)) axes.set_xticklabels(range(1,21,2) ) plt.tight_layout() #fig.savefig('n_offer_jb.png', dpi=300, bbox_inches='tight', transparent=True)

32.731278

239

0.595962

1,218

7,430

3.490148

0.122332

0.067514

0.042343

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null

0

1

0

1

0

null

0

5

efa349e794ce48c2524d7dccac32b4d6d5a6de73

181

py

Python

donation_page/admin.py

NiyeSadece/charity_donation

24c7e7c343c5d4989a94e42f3cf22c201394b0f1

[ "MIT" ]

null

donation_page/admin.py

NiyeSadece/charity_donation

24c7e7c343c5d4989a94e42f3cf22c201394b0f1

[ "MIT" ]

null

donation_page/admin.py

NiyeSadece/charity_donation

24c7e7c343c5d4989a94e42f3cf22c201394b0f1

[ "MIT" ]

null

from django.contrib import admin from .models import Category, Donation, Institution admin.site.register(Category) admin.site.register(Donation) admin.site.register(Institution)

20.111111

51

0.823204

23

181

6.478261

0.478261

0.181208

0.342282

0

0.088398

181

8

52

22.625

0.90303

0

1

0

true

0

0.4

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0.4

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1

0

null

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1

0

1

0

null

0

1

0

1

0

5

4bda2046ac157eddf33b3b57808e541d3956c44c

381

py

Python

app/txdb/parser.py

tildecross/tildex-txdb

bc32e1875c55cedfbf4ce7d00174b4b7bf68525f

[ "BSD-3-Clause" ]

null

app/txdb/parser.py

tildecross/tildex-txdb

bc32e1875c55cedfbf4ce7d00174b4b7bf68525f

[ "BSD-3-Clause" ]

1

2017-10-15T01:11:11.000Z

2019-10-18T20:02:32.000Z

app/txdb/parser.py

tildecross/tildex-txdb

bc32e1875c55cedfbf4ce7d00174b4b7bf68525f

[ "BSD-3-Clause" ]

null

import json from app.txdb.core import TxDBCore class TxDBParser: def __init__(self, db): if isinstance(db, TxDBCore): self.db = db else: self.db = None def _encode(self, data): return json.dumps(data) def _decode(self, data): return json.loads(data) def operation(self, jOp): pass

20.052632

36

0.55643

46

381

4.478261

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0.087379

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0

0.354331

381

18

37

21.166667

0.837398

0

1

0.285714

false

0.071429

0.142857

0.642857

0

null

0

1

0

null

0

1

0

1

0

1

0

5

ef102608ddc4ae5a6874a5057d0747c5ec995dc8

164

py

Python

apps/home/admin.py

AntMenG/ss

c7e98d512476619b7f2d72d3a11140345a593c3b

[ "Apache-2.0" ]

null

apps/home/admin.py

AntMenG/ss

c7e98d512476619b7f2d72d3a11140345a593c3b

[ "Apache-2.0" ]

null

apps/home/admin.py

AntMenG/ss

c7e98d512476619b7f2d72d3a11140345a593c3b

[ "Apache-2.0" ]

null

from django.contrib import admin from .models import Empleado, Archivo # Register your models here. admin.site.register(Empleado) admin.site.register(Archivo)

27.333333

38

0.792683

22

164

5.909091

0.545455

0.138462

0.261538

0

0.128049

164

6

39

27.333333

0.909091

0.158537

0

1

0

true

0

0.5

0

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0

1

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null

0

1

0

1

0

null

0

1

0

1

0

5

ef31e0abb865a9dd7b4caf8cf77f9b42f5681acd

144

py

Python

engine/crud/task.py

thegrafico/annoying-app

7631af99885d9a68216bced6e8595c221950cd20

[ "MIT" ]

null

engine/crud/task.py

thegrafico/annoying-app

7631af99885d9a68216bced6e8595c221950cd20

[ "MIT" ]

null

engine/crud/task.py

thegrafico/annoying-app

7631af99885d9a68216bced6e8595c221950cd20

[ "MIT" ]

null

""" CRUD system for Task Create, Read, Update, Delete """ # Create Task def create_task(): """ Create a task into the database """

13.090909

35

0.618056

19

144

4.631579

0.684211

0.227273

0

0.25

144

11

36

13.090909

0.814815

0.652778

0

1

true

0

1

0

1

0

null

1

0

null

0

1

0

1

0

5

ef36e62f949bd10b7f7f113621326effcad2f59b

71

py

Python

db_credentials/test/__init__.py

damonsauve/-db-credentials

c157854b77270be63097e09f741a27aef3236463

[ "MIT" ]

null

db_credentials/test/__init__.py

damonsauve/-db-credentials

c157854b77270be63097e09f741a27aef3236463

[ "MIT" ]

null

db_credentials/test/__init__.py

damonsauve/-db-credentials

c157854b77270be63097e09f741a27aef3236463

[ "MIT" ]

null

# http://bugs.python.org/issue15881#msg170215 # import multiprocessing

17.75

45

0.802817

8

71

7.125

1

0

0.166667

0.070423

71

3

46

23.666667

0.69697

0.591549

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

ef59efd41a46f3a5753119d29975587c446a0b04

38

py

Python

ftpcli/__init__.py

nanato12/ftpy

b8de28ea51db487e759c6c226e8dc5c1c9890633

[ "MIT" ]

null

ftpcli/__init__.py

nanato12/ftpy

b8de28ea51db487e759c6c226e8dc5c1c9890633

[ "MIT" ]

null

ftpcli/__init__.py

nanato12/ftpy

b8de28ea51db487e759c6c226e8dc5c1c9890633

[ "MIT" ]

1

2019-12-12T03:20:04.000Z

# coding: utf-8 from .ftp import FTP

9.5

20

0.684211

7

38

3.714286

0.857143

0

0.033333

0.210526

38

3

21

12.666667

0.833333

0.342105

0

1

0

true

0

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null

0

1

0

null

0

1

0

1

0

5

3256cf5b2f618fb900e801616d1e1b70ae667844

78

py

Python

coremltools/converters/mil/backend/mil/__init__.py

tonybove-apple/coremltools

22a8877beec7bad136ba5612d5aacd8e323ecdfc

[ "BSD-3-Clause" ]

2,740

2017-10-03T23:19:01.000Z

2022-03-30T15:16:39.000Z

coremltools/converters/mil/backend/mil/__init__.py

tonybove-apple/coremltools

22a8877beec7bad136ba5612d5aacd8e323ecdfc

[ "BSD-3-Clause" ]

1,057

2017-10-05T22:47:01.000Z

2022-03-31T23:51:15.000Z

coremltools/converters/mil/backend/mil/__init__.py

tonybove-apple/coremltools

22a8877beec7bad136ba5612d5aacd8e323ecdfc

[ "BSD-3-Clause" ]

510

2017-10-04T19:22:28.000Z

2022-03-31T12:16:52.000Z

19.5

53

0.730769

12

78

4.75

0.916667

0

0.0625

0.179487

78

3

54

26

0.828125

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0

1

0

true

0

1

0

1

0

1

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null

0

1

0

null

0

1

0

1

0

1

0

5

327aef11f5c7f61226570d42124a01b489231720

125

py

Python

src/0/general.py

burgerdev/bearded-wookie

4dbdd34d9bffb73e1d995145167b3d6ef082a73a

[ "MIT" ]

null

src/0/general.py

burgerdev/bearded-wookie

4dbdd34d9bffb73e1d995145167b3d6ef082a73a

[ "MIT" ]

null

src/0/general.py

burgerdev/bearded-wookie

4dbdd34d9bffb73e1d995145167b3d6ef082a73a

[ "MIT" ]

null

#!/usr/bin/python # The general way to solve problems in python, seriously! from packages import solution print(solution)

15.625

57

0.768

18

125

5.333333

0.888889

0

0.152

125

7

58

17.857143

0.90566

0.576

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

32890000a713023a771718c358d7e0518522b6f9

423

py

Python

Codebase/Code/test_flask.py

gitkage01/csiaustin

e7a106a3df81f6f67cda2bba1d735f9e90afb758

[ "CC-BY-3.0" ]

null

Codebase/Code/test_flask.py

gitkage01/csiaustin

e7a106a3df81f6f67cda2bba1d735f9e90afb758

[ "CC-BY-3.0" ]

null

Codebase/Code/test_flask.py

gitkage01/csiaustin

e7a106a3df81f6f67cda2bba1d735f9e90afb758

[ "CC-BY-3.0" ]

1

2019-08-25T20:07:25.000Z

from flask import Flask, render_template, request app = Flask(__name__) @app.route('/') def load(): return render_template('index.html') @app.route('/autopsy',methods = ['POST', 'GET']) def autopsy(): return render_template('autopsy-report.html') @app.route('/incident',methods = ['POST', 'GET']) def incident(): return render_template('police-report.html') if __name__ == '__main__': app.run(debug = True)

23.5

49

0.687943

54

423

5.092593

0.481481

0.203636

0.218182

0.123636

0

0.125296

423

18

50

23.5

0.743243

0

0.205189

0

1

0.230769

false

0

0.076923

0.230769

0.538462

0

null

1

0

null

0

1

0

1

0

5

0891f7cd52ee1970a4d0d2378dbbef48e6fe8c7b

135

py

Python

kubesys/__init__.py

kubesys/client-python

2edf93f23a5eddf79b09bdb414b82620182217cf

[ "Apache-2.0" ]

2

2021-09-28T06:04:58.000Z

2021-11-08T14:11:25.000Z

kubesys/__init__.py

kubesys/client-python

2edf93f23a5eddf79b09bdb414b82620182217cf

[ "Apache-2.0" ]

null

kubesys/__init__.py

kubesys/client-python

2edf93f23a5eddf79b09bdb414b82620182217cf

[ "Apache-2.0" ]

1

2022-03-02T06:04:36.000Z

from urllib3.connectionpool import InsecureRequestWarning from urllib3 import disable_warnings disable_warnings(InsecureRequestWarning)

45

57

0.918519

13

135

9.384615

0.538462

0.180328

0

0.015748

0.059259

135

3

58

45

0.944882

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

0892bb1da7981edbc68565e313fe581632e3125d

86

wsgi

Python

sipd.wsgi

awkz/sipd

ada3f6e9d10ddcfdf23fa3da36f3825257db7986

[ "MIT" ]

1

2021-09-16T04:29:12.000Z

sipd.wsgi

awkz/sipd

ada3f6e9d10ddcfdf23fa3da36f3825257db7986

[ "MIT" ]

null

sipd.wsgi

awkz/sipd

ada3f6e9d10ddcfdf23fa3da36f3825257db7986

[ "MIT" ]

null

import sys sys.path.append('/home/bara/sipd/') from aplikasi import app as application

28.666667

39

0.790698

14

86

4.857143

0.857143

0

0.093023

86

3

39

28.666667

0.871795

0

0.183908

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

08c310aa82a43be95ca58c103c2ecbe47a2eb7b7

26

py

Python

stockTwitFetchAPI/__init__.py

bilardi/stockTwitsAPI

4e115f8dae0208430535fc6a4a333b88696219bb

[ "MIT" ]

null

stockTwitFetchAPI/__init__.py

bilardi/stockTwitsAPI

4e115f8dae0208430535fc6a4a333b88696219bb

[ "MIT" ]

null

stockTwitFetchAPI/__init__.py

bilardi/stockTwitsAPI

4e115f8dae0208430535fc6a4a333b88696219bb

[ "MIT" ]

1

2021-09-20T17:20:31.000Z

name = 'stockTwitFetchAPI'

26

0.807692

2

26

10.5

1

0

0.076923

26

1

26

0.875

0

0.62963

0

1

0

false

0

1

null

0

1

0

1

0

null

0

5

3e9aa7e5da0e00be42f985ace24d14bcd286380d

119

py

Python

SolarSystem.py

Simcrafter/WorldBuilder

efb017a58d5477d9c4fc79d809dfd48931f97d4d

[ "MIT" ]

3

2020-08-01T11:34:42.000Z

2020-09-17T04:37:26.000Z

SolarSystem.py

tofu-7/WorldBuilder

cd1d5047aa89bf4d2de65336b850790810cce0d2

[ "Unlicense" ]

null

SolarSystem.py

tofu-7/WorldBuilder

cd1d5047aa89bf4d2de65336b850790810cce0d2

[ "Unlicense" ]

1

2020-07-31T22:00:19.000Z

# Take one at Solar System Generation import numpy as np # i wrote a few lines and lost motivation for the night lmao

23.8

60

0.773109

22

119

4.181818

1

0

0.210084

119

5

60

23.8

0.978723

0.789916

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

3ed007a8ca1f2951e8867e33e172bce63ce5a92c

29

py

Python

devel/lib/python2.7/dist-packages/hongfu_bms_msg/msg/__init__.py

FProgrammerLIU/caster_man_ros

a75b503fad3a470f985072a2b3953e89074f3223

[ "MIT" ]

null

devel/lib/python2.7/dist-packages/hongfu_bms_msg/msg/__init__.py

FProgrammerLIU/caster_man_ros

a75b503fad3a470f985072a2b3953e89074f3223

[ "MIT" ]

null

devel/lib/python2.7/dist-packages/hongfu_bms_msg/msg/__init__.py

FProgrammerLIU/caster_man_ros

a75b503fad3a470f985072a2b3953e89074f3223

[ "MIT" ]

null

from ._HongfuStatus import *

14.5

28

0.793103

3

29

7.333333

1

0

0.137931

29

1

29

0.88

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

3edd40cdf03a1acb054b0556f8c032b620802a22

1,035

py

Python

test/test_coverages.py

AYLIEN/aylien_newsapi_python

ab4e667e718e8f919b894d4e4ec76e5d37b2fe74

[ "Apache-2.0" ]

13

2016-04-30T12:08:24.000Z

2021-09-14T13:57:46.000Z

test/test_coverages.py

AYLIEN/aylien_newsapi_python

ab4e667e718e8f919b894d4e4ec76e5d37b2fe74

[ "Apache-2.0" ]

3

2016-09-02T08:22:28.000Z

2018-07-03T10:59:31.000Z

test/test_coverages.py

AYLIEN/aylien_newsapi_python

ab4e667e718e8f919b894d4e4ec76e5d37b2fe74

[ "Apache-2.0" ]

5

2016-12-20T08:17:47.000Z

2022-01-11T22:44:43.000Z

# coding: utf-8 """ AYLIEN News API The AYLIEN News API is the most powerful way of sourcing, searching and syndicating analyzed and enriched news content. It is accessed by sending HTTP requests to our server, which returns information to your client. # noqa: E501 The version of the OpenAPI document: 3.0 Contact: support@aylien.com Generated by: https://openapi-generator.tech """ from __future__ import absolute_import import unittest import aylien_news_api from aylien_news_api.models.coverages import Coverages # noqa: E501 from aylien_news_api.rest import ApiException class TestCoverages(unittest.TestCase): """Coverages unit test stubs""" def setUp(self): pass def tearDown(self): pass def testCoverages(self): """Test Coverages""" # FIXME: construct object with mandatory attributes with example values # model = aylien_news_api.models.coverages.Coverages() # noqa: E501 pass if __name__ == '__main__': unittest.main()

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4114e49b570fac9dcae2fa8f7b4a5926f39c250b

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py

Python

hathor/transaction/storage/__init__.py

khengleng/khathor

8728c7032e6785eaf560a9592df02856dc97900d

[ "Apache-2.0" ]

null

hathor/transaction/storage/__init__.py

khengleng/khathor

8728c7032e6785eaf560a9592df02856dc97900d

[ "Apache-2.0" ]

null

hathor/transaction/storage/__init__.py

khengleng/khathor

8728c7032e6785eaf560a9592df02856dc97900d

[ "Apache-2.0" ]

null

from hathor.transaction.storage.binary_storage import TransactionBinaryStorage from hathor.transaction.storage.cache_storage import TransactionCacheStorage from hathor.transaction.storage.compact_storage import TransactionCompactStorage from hathor.transaction.storage.memory_storage import TransactionMemoryStorage from hathor.transaction.storage.remote_storage import TransactionRemoteStorage, create_transaction_storage_server from hathor.transaction.storage.subprocess_storage import TransactionSubprocessStorage from hathor.transaction.storage.transaction_storage import TransactionStorage try: from hathor.transaction.storage.rocksdb_storage import TransactionRocksDBStorage except ImportError: pass __all__ = [ 'TransactionStorage', 'TransactionMemoryStorage', 'TransactionCompactStorage', 'TransactionCacheStorage', 'TransactionBinaryStorage', 'TransactionSubprocessStorage', 'TransactionRemoteStorage', 'TransactionRocksDBStorage', 'create_transaction_storage_server', ]

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1

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1

0

null

0

1

0

5

f5fa505977a7e51209d6949477a74f37827907ba

159

py

Python

crowd_evacuation/wall_agent.py

mrcabo/MultiAgentSystems

4d88af3b8c1dac359e0eb8344b335d9bb2733c20

[ "MIT" ]

1

2019-10-01T13:47:41.000Z

crowd_evacuation/wall_agent.py

mrcabo/MultiAgentSystems

4d88af3b8c1dac359e0eb8344b335d9bb2733c20

[ "MIT" ]

1

2019-10-13T14:51:26.000Z

crowd_evacuation/wall_agent.py

mrcabo/MultiAgentSystems

4d88af3b8c1dac359e0eb8344b335d9bb2733c20

[ "MIT" ]

2

2019-10-13T20:08:55.000Z

2021-05-31T13:30:51.000Z

from mesa import Agent class WallAgent(Agent): """ A wall agent.""" def __init__(self, unique_id, model): super().__init__(unique_id, model)

19.875

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4.47619

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0

null

0

1

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1

0

5

eb063c5b9e0040b04116ba4eb2362bd97aee83e1

59

py

Python

TrieDecoder/Feature.py

X-Crux/sova-asr

338480b185181b77bc026af732f46db9842f1fd6

[ "Apache-2.0" ]

null

TrieDecoder/Feature.py

X-Crux/sova-asr

338480b185181b77bc026af732f46db9842f1fd6

[ "Apache-2.0" ]

null

TrieDecoder/Feature.py

X-Crux/sova-asr

338480b185181b77bc026af732f46db9842f1fd6

[ "Apache-2.0" ]

null

#!/usr/bin/env python3 from TrieDecoder._feature import *

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5.5

1

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59

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35

19.666667

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0

1

0

true

0

1

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0

1

0

null

0

1

0

1

0

1

0

5

de3fcf7481de3686231dda65389163af72ff651a

55

py

Python

python_packages/shift_operation/__init__.py

prabhat-123/ML_Intern_LeapFrog

3912bd5b72f045063f70cd280739fe797d387221

[ "MIT" ]

null

python_packages/shift_operation/__init__.py

prabhat-123/ML_Intern_LeapFrog

3912bd5b72f045063f70cd280739fe797d387221

[ "MIT" ]

null

python_packages/shift_operation/__init__.py

prabhat-123/ML_Intern_LeapFrog

3912bd5b72f045063f70cd280739fe797d387221

[ "MIT" ]

null

from list_shift_operation import rotateLeft,rotateRight

55

0.927273

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55

7

1

0

0.054545

55

1

55

0.942308

0

1

0

true

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1

0

1

0

1

0

null

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1

0

null

0

1

0

1

0

1

0

5

de7a564e126eba5c30ea89d4f14cf5fcc14f65b3

88

py

Python

enthought/traits/trait_errors.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

3

2016-12-09T06:05:18.000Z

2018-03-01T13:00:29.000Z

enthought/traits/trait_errors.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

1

2020-12-02T00:51:32.000Z

2020-12-02T08:48:55.000Z

enthought/traits/trait_errors.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

null

# proxy module from __future__ import absolute_import from traits.trait_errors import *

22

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12

88

5.666667

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0

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88

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39

29.333333

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0

1

0

true

0

1

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1

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1

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null

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1

0

null

0

1

0

1

0

1

0

5

de8a4d5238aa4b68bfe4ccb8d43182f543a48511

291

py

Python

project/todos/models.py

TheRayOfSeasons/django-aws-boilerplate

da58fee7aab3b7cade2a6c4065214be4fb1b7c7d

[ "MIT" ]

null

project/todos/models.py

TheRayOfSeasons/django-aws-boilerplate

da58fee7aab3b7cade2a6c4065214be4fb1b7c7d

[ "MIT" ]

null

project/todos/models.py

TheRayOfSeasons/django-aws-boilerplate

da58fee7aab3b7cade2a6c4065214be4fb1b7c7d

[ "MIT" ]

null

from django.db import models # Create your models here. class Todo(models.Model): """ Data for a todo-list """ name = models.CharField(max_length=128, blank=True) content = models.CharField(max_length=1000, blank=True) def __str__(self): return self.name

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14

60

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0

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1

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false

0

0.166667

1

0

null

0

1

0

null

0

1

0

1

0

5

de9bf8b68180e4d022a20695cb123c6519839f85

115

py

Python

api/admin.py

kuenane/stunning-chainsaw

613ea45184b209cf2b49a67a7fe5309e71376e37

[ "Apache-2.0" ]

null

api/admin.py

kuenane/stunning-chainsaw

613ea45184b209cf2b49a67a7fe5309e71376e37

[ "Apache-2.0" ]

null

api/admin.py

kuenane/stunning-chainsaw

613ea45184b209cf2b49a67a7fe5309e71376e37

[ "Apache-2.0" ]

null

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

16.428571

32

0.791304

17

115

5.352941

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0

0.13913

115

6

33

19.166667

0.919192

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0

1

0

true

0

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0

0.666667

0

1

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null

0

1

0

null

0

1

0

1

0

1

0

5

dea0f64bc3887f47468ed9051cc385707022515a

128

py

Python

include/tclap-1.4.0-rc1/tests/test47.py

SpaceKatt/cpp-cli-poc

02ffefea2fc6e999fa2b27d08a8b3be6830b1b97

[ "BSL-1.0" ]

62

2021-09-21T18:58:02.000Z

2022-03-07T02:17:43.000Z

third_party/tclap-1.4.0-rc1/tests/test47.py

Vertexwahn/FlatlandRT

37d09fde38b25eff5f802200b43628efbd1e3198

[ "Apache-2.0" ]

null

third_party/tclap-1.4.0-rc1/tests/test47.py

Vertexwahn/FlatlandRT

37d09fde38b25eff5f802200b43628efbd1e3198

[ "Apache-2.0" ]

null

#!/usr/bin/python import simple_test simple_test.test("test8", ["-s=bill", "-i=9", "-i=8", "-B", "homer", "marge", "bart", ])

21.333333

88

0.570313

20

128

3.55

0.8

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0

0.026316

0.109375

128

5

89

25.6

0.596491

0.125

0

0.324324

0

1

0

true

0

0.5

0

0.5

0

1

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1

0

1

0

null

0

1

0

1

0

5

dea2e683e2cffd09bcb7838411d4dd92d0229f47

43

py

Python

tests/__init__.py

CoderOJ/RLJ

20bb7ffd1581bf8cf820e0f594b63d2760ea721c

[ "MIT" ]

45

2017-11-19T06:54:07.000Z

2022-03-21T14:44:42.000Z

tests/__init__.py

CoderOJ/RLJ

20bb7ffd1581bf8cf820e0f594b63d2760ea721c

[ "MIT" ]

6

2017-12-12T05:33:16.000Z

2018-08-28T12:30:50.000Z

tests/__init__.py

CoderOJ/RLJ

20bb7ffd1581bf8cf820e0f594b63d2760ea721c

[ "MIT" ]

12

2017-12-12T04:43:04.000Z

2022-02-23T00:13:47.000Z

' Auto tests of RLJ. ' from tests import *

14.333333

22

0.674419

7

43

4.142857

0.857143

0

0.232558

43

2

23

21.5

0.878788

0.418605

0

0.465116

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

5

decea81b8e4f0393e0b658f01a71440b5b97e8b2

42

py

Python

python/testData/selectWord/insideEscapeSequence/after1.py

truthiswill/intellij-community

fff88cfb0dc168eea18ecb745d3e5b93f57b0b95

[ "Apache-2.0" ]

2

2018-12-29T09:53:39.000Z

2018-12-29T09:53:42.000Z

python/testData/selectWord/insideEscapeSequence/after1.py

truthiswill/intellij-community

fff88cfb0dc168eea18ecb745d3e5b93f57b0b95

[ "Apache-2.0" ]

173

2018-07-05T13:59:39.000Z

2018-08-09T01:12:03.000Z

python/testData/selectWord/insideEscapeSequence/after1.py

truthiswill/intellij-community

fff88cfb0dc168eea18ecb745d3e5b93f57b0b95

[ "Apache-2.0" ]

2

2020-03-15T08:57:37.000Z

2020-04-07T04:48:14.000Z

s = 'Hello<selection>\n</selection>World!'

42

0.714286

6

42

5

0.833333

0

0.047619

42

1

42

0.75

0

0.837209

0

1

0

false

0

1

0

null

0

1

0

1

null

0

5

ded2560e6fc20749aa0a1efa0615519a54020555

26

py

Python

bocpd/__init__.py

IbarakikenYukishi/two-stage-MDL

7faf99f36ac012799602f32b359dcda089bcd119

[ "MIT" ]

2

2022-01-06T09:34:44.000Z

2022-01-07T08:07:13.000Z

bocpd/__init__.py

IbarakikenYukishi/two-stage-MDL

7faf99f36ac012799602f32b359dcda089bcd119

[ "MIT" ]

null

bocpd/__init__.py

IbarakikenYukishi/two-stage-MDL

7faf99f36ac012799602f32b359dcda089bcd119

[ "MIT" ]

null

from bocpd.bocpd import *

13

25

0.769231

4

26

5

0.75

0

0.153846

26

1

26

0.909091

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

7208bc91963a76d6de8802b9f2ecb888bb79df39

158

py

Python

less100.py

anokata/pythonPetProjects

245c3ff11ae560b17830970061d8d60013948fd7

[ "MIT" ]

3

2017-04-30T17:44:53.000Z

2018-02-03T06:02:11.000Z

less100.py

anokata/pythonPetProjects

245c3ff11ae560b17830970061d8d60013948fd7

[ "MIT" ]

10

2021-03-18T20:17:19.000Z

2022-03-11T23:14:19.000Z

less100.py

anokata/pythonPetProjects

245c3ff11ae560b17830970061d8d60013948fd7

[ "MIT" ]

null

#!/usr/bin/env python3 i = 1 for x in range(-10000, 10000): for y in range(-10000, 10000): if (abs(x)+abs(y)) < 100: i += 1 print(i)

17.555556

34

0.512658

28

158

2.892857

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0.296296

0.419753

0

0.236364

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158

8

35

19.75

0.5

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0

1

0

false

0

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1

0

null

0

1

0

1

0

1

0

null

0

5

723b36b6c34338ae155f46bfd965ca6ebc144da1

213

py

Python

ecstools/lib/config.py

skout23/ecs-tools

99b7b588a6ee12b9467dff3f97127ad845671723

[ "MIT" ]

9

2018-04-23T22:29:35.000Z

2020-11-18T05:22:54.000Z

ecstools/lib/config.py

skout23/ecs-tools

99b7b588a6ee12b9467dff3f97127ad845671723

[ "MIT" ]

26

2018-03-08T00:50:47.000Z

2021-02-06T00:13:02.000Z

ecstools/lib/config.py

skout23/ecs-tools

99b7b588a6ee12b9467dff3f97127ad845671723

[ "MIT" ]

7

2018-02-20T06:03:43.000Z

2021-02-06T01:09:14.000Z

import os import configparser config = configparser.ConfigParser() config_file = os.path.expanduser('~/.ecstools') config_file_local = os.path.realpath('.ecstools') config.read([config_file, config_file_local])

23.666667

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213

6

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0

0.079812

213

8

50

26.625

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0

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0.333333

0

1

0

null

1

0

1

0

null

0

1

0

5

7244f261eb41e81fdb0a712003a463476f03cbf1

19

py

Python

gym/version.py

felixonmars/gym

70ca46a9685de333493722ee74d0cd51782b2b44

[ "Python-2.0", "OLDAP-2.7" ]

266

2015-02-13T18:14:08.000Z

2022-03-29T22:03:33.000Z

gym/version.py

felixonmars/gym

70ca46a9685de333493722ee74d0cd51782b2b44

[ "Python-2.0", "OLDAP-2.7" ]

77

2015-02-13T00:22:11.000Z

2022-02-20T07:56:14.000Z

gym/version.py

felixonmars/gym

70ca46a9685de333493722ee74d0cd51782b2b44

[ "Python-2.0", "OLDAP-2.7" ]

95

2015-03-18T23:28:57.000Z

2022-02-20T23:28:58.000Z

VERSION = '0.10.8'

9.5

18

0.578947

4

19

2.75

1

0

0.25

0.157895

19

1

19

0.4375

0

0.315789

0

1

0

false

0

1

0

null

0

1

0

1

0

1

0

null

0

5

9d09b9fffdbb80dd9ee155e55701ca852b6ce53e

152

py

Python

dtc/enums/partial_fill_handling_enum.py

jseparovic/python-ws-dtc-client

fd3952cdaf7ab8c9d5a26ccf53b5e9acb3a9ea0f

[ "Apache-2.0" ]

15

2020-04-26T05:25:53.000Z

2022-02-11T19:38:42.000Z

dtc/enums/partial_fill_handling_enum.py

jseparovic/python-ws-dtc-client

fd3952cdaf7ab8c9d5a26ccf53b5e9acb3a9ea0f

[ "Apache-2.0" ]

2

2021-01-08T19:58:08.000Z

2021-11-29T06:08:48.000Z

dtc/enums/partial_fill_handling_enum.py

jseparovic/python-ws-dtc-client

fd3952cdaf7ab8c9d5a26ccf53b5e9acb3a9ea0f

[ "Apache-2.0" ]

4

2020-11-23T13:38:01.000Z

2021-12-27T13:21:06.000Z

class PartialFillHandlingEnum: PARTIAL_FILL_UNSET = 0 PARTIAL_FILL_HANDLING_REDUCE_QUANTITY = 1 PARTIAL_FILL_HANDLING_IMMEDIATE_CANCEL = 2

25.333333

46

0.815789

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152

6.333333

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0.289474

0.333333

0

0.023438

0.157895

152

5

47

30.4

0.867188

0

1

0

false

0

1

0

1

0

null

1

0

1

0

null

0

1

0

5

9d0d69abff53baebcaa478f3995cb321933250f0

91

py

Python

test/test.py

bachmann87/iemployee

778301f1d62f27992608721cb6e5d35ccbd7dfe5

[ "MIT" ]

null

test/test.py

bachmann87/iemployee

778301f1d62f27992608721cb6e5d35ccbd7dfe5

[ "MIT" ]

null

test/test.py

bachmann87/iemployee

778301f1d62f27992608721cb6e5d35ccbd7dfe5

[ "MIT" ]

null

#!/usr/bin/env python # Test if Python responses print('[Python3 started] - Status: [ok]')

22.75

41

0.692308

13

91

4.846154

0.923077

0

0.012658

0.131868

91

4

41

22.75

0.78481

0.494505

0

0.711111

0

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0

true

0

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0

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0

1

0

1

0

null

0

1

0

1

0

5

9d0e0f5013e310279bfbe4a486810c4e4163c7d2

162

py

Python

model-optimizer/mo/__main__.py

monroid/openvino

8272b3857ef5be0aaa8abbf7bd0d5d5615dc40b6

[ "Apache-2.0" ]

2,406

2020-04-22T15:47:54.000Z

2022-03-31T10:27:37.000Z

model-optimizer/mo/__main__.py

thomas-yanxin/openvino

031e998a15ec738c64cc2379d7f30fb73087c272

[ "Apache-2.0" ]

4,948

2020-04-22T15:12:39.000Z

2022-03-31T18:45:42.000Z

model-optimizer/mo/__main__.py

thomas-yanxin/openvino

031e998a15ec738c64cc2379d7f30fb73087c272

[ "Apache-2.0" ]

991

2020-04-23T18:21:09.000Z

2022-03-31T18:40:57.000Z

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py

Python

PyViCare/PyViCareInstallation.py

michelde/PyViCare

053690f77970a7c1a846a241f54370f91904014c

[ "Apache-2.0" ]

null

PyViCare/PyViCareInstallation.py

michelde/PyViCare

053690f77970a7c1a846a241f54370f91904014c

[ "Apache-2.0" ]

null

PyViCare/PyViCareInstallation.py

michelde/PyViCare

053690f77970a7c1a846a241f54370f91904014c

[ "Apache-2.0" ]

1

2021-01-21T21:53:17.000Z

# TODO will the be the representation of an installation

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