xszheng2020/the_stack_dedup_python_hits_0 · Datasets at Hugging Face

be30c6f12931ff680481e45af1a532c7eab58cb2

1,089

py

Python

pyvmu/messages.py

JosephRedfern/VarienseVMU

e27c05a83124e024cd049b10f7d682f7f41a5c73

[ "MIT" ]

5

2017-10-23T13:13:09.000Z

2018-05-07T14:38:47.000Z

pyvmu/messages.py

JosephRedfern/VarienseVMU

e27c05a83124e024cd049b10f7d682f7f41a5c73

[ "MIT" ]

2

2018-04-18T08:15:52.000Z

2018-05-17T11:32:47.000Z

pyvmu/messages.py

JosephRedfern/VarienseVMU

e27c05a83124e024cd049b10f7d682f7f41a5c73

[ "MIT" ]

3

2017-09-06T18:05:21.000Z

2018-11-21T13:08:16.000Z

from collections import namedtuple Accelerometer = namedtuple('Accelerometer', ["timestamp", "x", "y", "z"]) Magnetometer = namedtuple('Magnetometer', ['timestamp', 'x', 'y', 'z']) Gyroscope = namedtuple('Gyroscope', ['timestamp', 'x', 'y', 'z']) Euler = namedtuple('Euler', ['timestamp', 'x', 'y', 'z']) Quaternion = ...

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0

be313f1e475a00f009ff53d9286703681a5859de

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py

Python

scripts/Caesar-Cipher/CaesarCipher.py

Pythobit/python-projects

1a6ee3f0f417846626dfa021af49c999771a0199

[ "MIT" ]

2

2021-10-19T06:17:33.000Z

2021-10-19T06:17:37.000Z

scripts/Caesar-Cipher/CaesarCipher.py

Pythobit/Python-Projects

1a6ee3f0f417846626dfa021af49c999771a0199

[ "MIT" ]

4

2021-10-19T06:04:36.000Z

2021-10-19T11:42:57.000Z

scripts/Caesar-Cipher/CaesarCipher.py

Pythobit/Python-Projects

1a6ee3f0f417846626dfa021af49c999771a0199

[ "MIT" ]

1

2021-10-19T06:55:26.000Z

from __future__ import print_function import os import string import argparse try: maketrans = string.maketrans # python2 except AttributeError: maketrans = str.maketrans # python3 def caeser_cipher(string_: str, offset: int, decode: bool, file_: string) -> None: """Caeser Cipher implementation, reads ...

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null

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null

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be31bc2fba335d1b861c92be573990bfd80133fd

8,217

py

Python

onadata/libs/permissions.py

BuildAMovement/whistler-kobocat

7f61dd0761bb0aa5b27c909bcff8c29453d3311d

[ "BSD-2-Clause" ]

38

2017-02-28T05:39:40.000Z

2019-01-16T04:39:04.000Z

onadata/libs/permissions.py

BuildAMovement/whistler-kobocat

7f61dd0761bb0aa5b27c909bcff8c29453d3311d

[ "BSD-2-Clause" ]

20

2017-04-27T09:14:27.000Z

2019-01-17T06:35:52.000Z

onadata/libs/permissions.py

BuildAMovement/whistler-kobocat

7f61dd0761bb0aa5b27c909bcff8c29453d3311d

[ "BSD-2-Clause" ]

5

2017-02-22T12:25:19.000Z

2019-01-15T11:16:40.000Z

from collections import defaultdict from django.contrib.contenttypes.models import ContentType from guardian.shortcuts import ( assign_perm, remove_perm, get_perms, get_users_with_perms) from onadata.apps.api.models import OrganizationProfile from onadata.apps.main.models.user_profile import UserProfi...

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null

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be330b0c9754c05467f2b02c3762c1390226f3d3

10,078

py

Python

lanelines.py

gauborg/lane-finding-gborgaonkar

466313a0da7c245e25f0987afa953300501d5322

[ "MIT" ]

null

lanelines.py

gauborg/lane-finding-gborgaonkar

466313a0da7c245e25f0987afa953300501d5322

[ "MIT" ]

null

lanelines.py

gauborg/lane-finding-gborgaonkar

466313a0da7c245e25f0987afa953300501d5322

[ "MIT" ]

null

# Self-Driving Car Engineer Nanodegree # # ## Project: **Finding Lane Lines on the Road** # ## Import Packages #importing some useful packages import matplotlib.pyplot as plt import matplotlib.image as mpimg import numpy as np import cv2 import math import moviepy image = mpimg.imread('test_images/solidWhiteRight...

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be368e6b255149306c28292dd49ca28ab1a75535

553

py

Python

network/pytorch2onnx.py

MRsoymilk/toy-car

5bd51bf231781a17e1d7acb4654c3d4b6adbed41

[ "MIT" ]

null

network/pytorch2onnx.py

MRsoymilk/toy-car

5bd51bf231781a17e1d7acb4654c3d4b6adbed41

[ "MIT" ]

null

network/pytorch2onnx.py

MRsoymilk/toy-car

5bd51bf231781a17e1d7acb4654c3d4b6adbed41

[ "MIT" ]

null

import Net import configparser import torch from PIL import Image config = configparser.ConfigParser() config.read('./config.ini') MODEL = config.get("Network", "Model") transformations = Net.transformations net = Net.Net() net.eval() net.load_state_dict(torch.load(MODEL)) image = Image.open("./html/rwby.jpg") imag...

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be385b749f1c26b913c643d471ca79a2fd89e72b

724

py

Python

var/spack/repos/builtin/packages/r-gridextra/package.py

player1537-forks/spack

822b7632222ec5a91dc7b7cda5fc0e08715bd47c

[ "ECL-2.0", "Apache-2.0", "MIT-0", "MIT" ]

11

2015-10-04T02:17:46.000Z

2018-02-07T18:23:00.000Z

var/spack/repos/builtin/packages/r-gridextra/package.py

player1537-forks/spack

822b7632222ec5a91dc7b7cda5fc0e08715bd47c

[ "ECL-2.0", "Apache-2.0", "MIT-0", "MIT" ]

22

2017-08-01T22:45:10.000Z

2022-03-10T07:46:31.000Z

var/spack/repos/builtin/packages/r-gridextra/package.py

player1537-forks/spack

822b7632222ec5a91dc7b7cda5fc0e08715bd47c

[ "ECL-2.0", "Apache-2.0", "MIT-0", "MIT" ]

4

2016-06-10T17:57:39.000Z

2018-09-11T04:59:38.000Z

# Copyright 2013-2022 Lawrence Livermore National Security, LLC and other # Spack Project Developers. See the top-level COPYRIGHT file for details. # # SPDX-License-Identifier: (Apache-2.0 OR MIT) from spack import * class RGridextra(RPackage): """Miscellaneous Functions for "Grid" Graphics. Provides a numb...

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be387cca53cfcab985ce1dca7b42033320d21418

2,707

py

Python

tuframework/training/network_training/competitions_with_custom_Trainers/MMS/nnUNetTrainerV2_MMS.py

Magnety/tuFramework

b31cb34d476ef306b52da955021f93c91c14ddf4

[ "Apache-2.0" ]

null

tuframework/training/network_training/competitions_with_custom_Trainers/MMS/nnUNetTrainerV2_MMS.py

Magnety/tuFramework

b31cb34d476ef306b52da955021f93c91c14ddf4

[ "Apache-2.0" ]

null

tuframework/training/network_training/competitions_with_custom_Trainers/MMS/nnUNetTrainerV2_MMS.py

Magnety/tuFramework

b31cb34d476ef306b52da955021f93c91c14ddf4

[ "Apache-2.0" ]

null

import torch from tuframework.network_architecture.generic_UNet import Generic_UNet from tuframework.network_architecture.initialization import InitWeights_He from tuframework.training.network_training.tuframework_variants.data_augmentation.tuframeworkTrainerV2_insaneDA import \ tuframeworkTrainerV2_insaneDA from t...

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be3baf27f812f65c9b958afcfa252dbaf8d5e093

3,088

py

Python

ansible/playbooks/roles/repository/files/download-requirements/src/command/yum.py

romsok24/epiphany

f058984939561fc8d51288765976118ae12e6c32

[ "Apache-2.0" ]

null

ansible/playbooks/roles/repository/files/download-requirements/src/command/yum.py

romsok24/epiphany

f058984939561fc8d51288765976118ae12e6c32

[ "Apache-2.0" ]

null

ansible/playbooks/roles/repository/files/download-requirements/src/command/yum.py

romsok24/epiphany

f058984939561fc8d51288765976118ae12e6c32

[ "Apache-2.0" ]

null

from typing import List from src.command.command import Command class Yum(Command): """ Interface for `yum` """ def __init__(self, retries: int): super().__init__('yum', retries) def update(self, enablerepo: str, package: str = None, disablerepo...

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be4037367a1afa83a7501ca75f082c616c63c62c

625

py

Python

ros_tf_publisher.py

BrightLamp/PyLearningCodes

ed237528c41ab2a9832b88806732097ffae0a0ed

[ "MIT" ]

null

ros_tf_publisher.py

BrightLamp/PyLearningCodes

ed237528c41ab2a9832b88806732097ffae0a0ed

[ "MIT" ]

null

ros_tf_publisher.py

BrightLamp/PyLearningCodes

ed237528c41ab2a9832b88806732097ffae0a0ed

[ "MIT" ]

null

# encoding=utf-8 import rospy import tf if __name__ == '__main__': rospy.init_node('py_tf_broadcaster') br = tf.TransformBroadcaster() x = 0.0 y = 0.0 z = 0.0 roll = 0 pitch = 0 yaw = 1.57 rate = rospy.Rate(1) while not rospy.is_shutdown(): yaw = yaw + 0.1 roll...

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be40e740adf7c24c5c205687723b024d4eaf9752

2,674

py

Python

dataset_manager/technical_indicators.py

NightingaleV/bakalarska_prace-ann-algotrading

07866e092cb527a7e1d9d7050790d9ffd611dc83

[ "MIT" ]

null

dataset_manager/technical_indicators.py

NightingaleV/bakalarska_prace-ann-algotrading

07866e092cb527a7e1d9d7050790d9ffd611dc83

[ "MIT" ]

null

dataset_manager/technical_indicators.py

NightingaleV/bakalarska_prace-ann-algotrading

07866e092cb527a7e1d9d7050790d9ffd611dc83

[ "MIT" ]

null

# Imports import numpy as np class TechnicalIndicators: cci_constant = 0.015 def __init__(self): self.df = None # Exponentially-weighted moving average def ewma(self, periods): indicator = 'EWMA{}'.format(periods) self.df[indicator] = self.df['close'].ewm(span=periods).mean()...

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be44513cd298d38b88ee6e7730ed73cc8a97d105

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py

Python

parlai/agents/drqa/config.py

shagunsodhani/ParlAI

5b634b844807372adfb0f6d6e5c42341ac8138f0

[ "BSD-3-Clause" ]

1

2017-06-26T07:46:33.000Z

parlai/agents/drqa/config.py

shagunsodhani/ParlAI

5b634b844807372adfb0f6d6e5c42341ac8138f0

[ "BSD-3-Clause" ]

null

parlai/agents/drqa/config.py

shagunsodhani/ParlAI

5b634b844807372adfb0f6d6e5c42341ac8138f0

[ "BSD-3-Clause" ]

null

# Copyright (c) 2017-present, Facebook, Inc. # All rights reserved. # This source code is licensed under the BSD-style license found in the # LICENSE file in the root directory of this source tree. An additional grant # of patent rights can be found in the PATENTS file in the same directory. import os import sys import...

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be451a5cb8b5c7262021b6003b4a6ffdd2ef5a5f

424

py

Python

run.py

pome-ta/CodeMirror

ef39c3032ea128d988c263ed97851860db9f977c

[ "MIT" ]

null

run.py

pome-ta/CodeMirror

ef39c3032ea128d988c263ed97851860db9f977c

[ "MIT" ]

null

run.py

pome-ta/CodeMirror

ef39c3032ea128d988c263ed97851860db9f977c

[ "MIT" ]

null

""" Pythonista3 app CodeMirror """ import pythonista.wkwebview as wkwebview import ui import pathlib uri = pathlib.Path('./main_index.html') class View(ui.View): def __init__(self): self.wv = wkwebview.WKWebView(flex='WH') self.wv.load_url(str(uri)) self.add_subview(self.wv) def will_close(self): ...

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be47dbc95464f47bb2c554b62349cf2699343260

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py

Python

search/tests/test_read_similarities.py

cotsog/pathways-backend

9231731359fc97833dbdbca33ac23eebeac4f715

[ "BSD-3-Clause" ]

null

search/tests/test_read_similarities.py

cotsog/pathways-backend

9231731359fc97833dbdbca33ac23eebeac4f715

[ "BSD-3-Clause" ]

null

search/tests/test_read_similarities.py

cotsog/pathways-backend

9231731359fc97833dbdbca33ac23eebeac4f715

[ "BSD-3-Clause" ]

null

from django.test import TestCase from search.read_similarities import build_manual_similarity_map from common.testhelpers.random_test_values import a_string, a_float class TestReadingManualTaskSimilarities(TestCase): def test_convert_matrix_to_map_from_topic_to_array_of_services(self): data = [ ...

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be47eadfdaf03e7261eb7070f1efcdf27e299506

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py

Python

fortuna/fortuna.py

Zabamund/HackCPH18

3855547824c6277ca6f4e7b97c3ad0b3829e266b

[ "MIT" ]

3

2018-06-09T08:03:31.000Z

2018-11-23T20:18:06.000Z

fortuna/fortuna.py

Zabamund/HackCPH18

3855547824c6277ca6f4e7b97c3ad0b3829e266b

[ "MIT" ]

1

2020-03-30T20:23:17.000Z

fortuna/fortuna.py

Zabamund/HackCPH18

3855547824c6277ca6f4e7b97c3ad0b3829e266b

[ "MIT" ]

2

2018-06-09T06:45:53.000Z

2018-06-09T15:36:36.000Z

""" Fortuna Python project to visualize uncertatinty in probabilistic exploration models. Created on 09/06/2018 @authors: Natalia Shchukina, Graham Brew, Marco van Veen, Behrooz Bashokooh, Tobias Stål, Robert Leckenby """ # Import libraries import numpy as np import glob from matplotlib import pyplot as plt import...

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be47eb6ac22a5716a180d2587e75ad448943ea4f

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py

Python

resize.py

Linx3/6.867-Final-Project

374d7093159be0bc524b291bacad52741f6bdc95

[ "MIT" ]

3

2019-12-27T12:18:29.000Z

2020-02-10T22:40:36.000Z

resize.py

Linx3/6.867-Final-Project

374d7093159be0bc524b291bacad52741f6bdc95

[ "MIT" ]

null

resize.py

Linx3/6.867-Final-Project

374d7093159be0bc524b291bacad52741f6bdc95

[ "MIT" ]

2

2019-12-29T02:11:29.000Z

2020-02-10T19:49:41.000Z

from PIL import Image # open an image file (.bmp,.jpg,.png,.gif) you have in the working folder # //imageFile = "03802.png" import os arr=os.listdir() for imageFile in arr: if "png" in imageFile: im1 = Image.open(imageFile) # adjust width and height to your needs width = 416 heigh...

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null

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null

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be4ff442cd8f9b517de533a73d5af1571d1d4790

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py

Python

src/pipeline/sentence-retrieval/run.py

simonepri/fever-transformers

3e9c57b0b4e781f318438d48589a56db709124c4

[ "MIT" ]

8

2020-05-03T08:40:24.000Z

2022-01-25T18:47:44.000Z

src/pipeline/sentence-retrieval/run.py

simonepri/fever-transformers

3e9c57b0b4e781f318438d48589a56db709124c4

[ "MIT" ]

null

src/pipeline/sentence-retrieval/run.py

simonepri/fever-transformers

3e9c57b0b4e781f318438d48589a56db709124c4

[ "MIT" ]

3

2020-05-02T20:21:45.000Z

2022-01-25T18:48:28.000Z

#!/usr/bin/env python3 import argparse import bisect import csv import json import os from collections import defaultdict from functools import reduce from tqdm import tqdm def get_best_evidence(scores_file, max_sentences_per_claim): weighted_claim_evidence = defaultdict(lambda: []) with open(scores_file, "...

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null

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null

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be514c5db015a36e1e21cf77afc4f28e841509a0

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py

Python

bot/__main__.py

KOTBOTS/Telegram-CloneBot

446d66ba46817f784e8de2b8bd2966865ee1965f

[ "MIT" ]

1

2021-11-10T05:06:00.000Z

bot/__main__.py

KOTBOTS/Telegram-CloneBot

446d66ba46817f784e8de2b8bd2966865ee1965f

[ "MIT" ]

null

bot/__main__.py

KOTBOTS/Telegram-CloneBot

446d66ba46817f784e8de2b8bd2966865ee1965f

[ "MIT" ]

1

2022-01-30T08:50:28.000Z

from telegram.ext import CommandHandler, run_async from bot.gDrive import GoogleDriveHelper from bot.fs_utils import get_readable_file_size from bot import LOGGER, dispatcher, updater, bot from bot.config import BOT_TOKEN, OWNER_ID, GDRIVE_FOLDER_ID from bot.decorators import is_authorised, is_owner from telegram.error...

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0

null

0

null

0

1

0

be520ba7720ed297f3538b6906896f4c66ca61d8

8,180

py

Python

src/pyfinlab/risk_models.py

AnaSan27/pyfinlab

509cc9544af5e1a5b2b642eca9ae02d383dd743c

[ "BSD-3-Clause" ]

1

2021-10-05T19:34:34.000Z

src/pyfinlab/risk_models.py

AnaSan27/pyfinlab

509cc9544af5e1a5b2b642eca9ae02d383dd743c

[ "BSD-3-Clause" ]

null

src/pyfinlab/risk_models.py

AnaSan27/pyfinlab

509cc9544af5e1a5b2b642eca9ae02d383dd743c

[ "BSD-3-Clause" ]

null

import pandas as pd import numpy as np from portfoliolab.utils import RiskMetrics from portfoliolab.estimators import RiskEstimators from pypfopt import risk_models as risk_models_ """ Available covariance risk models in PortfolioLab library. https://hudson-and-thames-portfoliolab-pro.readthedocs-hosted.com/en/latest...

49.575758

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0

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null

0

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0

be55e1c8b12cbd1b4bd83120c737d0990e906ce2

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py

Python

citywok_ms/employee/routes.py

fossabot/CityWok-Manager

ccd31eb684ddeec5c741c9520c779d98eb0e3cc6

[ "MIT" ]

null

citywok_ms/employee/routes.py

fossabot/CityWok-Manager

ccd31eb684ddeec5c741c9520c779d98eb0e3cc6

[ "MIT" ]

null

citywok_ms/employee/routes.py

fossabot/CityWok-Manager

ccd31eb684ddeec5c741c9520c779d98eb0e3cc6

[ "MIT" ]

null

from citywok_ms.file.models import EmployeeFile, File import citywok_ms.employee.messages as employee_msg import citywok_ms.file.messages as file_msg from citywok_ms.employee.forms import EmployeeForm from citywok_ms.file.forms import FileForm from flask import Blueprint, flash, redirect, render_template, url_for from ...

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0.025974

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null

0

null

0

1

0

be5634f2d2873fa0b75fded2fda0cc44792517a3

9,041

py

Python

kitsune/customercare/cron.py

safwanrahman/Ford

87e91dea1cc22b1759eea81cef069359ccb5cd0b

[ "BSD-3-Clause" ]

1

2017-07-03T12:11:03.000Z

kitsune/customercare/cron.py

feer56/Kitsune1

0b39cbc41cb7a067699ce8401d80205dd7c5138d

[ "BSD-3-Clause" ]

8

2020-06-05T18:42:14.000Z

2022-03-11T23:26:51.000Z

kitsune/customercare/cron.py

safwanrahman/Ford

87e91dea1cc22b1759eea81cef069359ccb5cd0b

[ "BSD-3-Clause" ]

null

import calendar from datetime import datetime, timedelta import json import logging import re import rfc822 from django.conf import settings from django.db.utils import IntegrityError import cronjobs from multidb.pinning import pin_this_thread from statsd import statsd from twython import Twython from kitsune.custom...

32.289286

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0.213018

0

null

0

null

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1

0

be5b35007ab39510b966782ec2dccb27e2f0b068

2,429

py

Python

checkAnnotation.py

ZZIDZZ/pytorch-ssd

8d3ad092825d6f05b8a3fa7c25be7b541bf86ed9

[ "MIT" ]

null

checkAnnotation.py

ZZIDZZ/pytorch-ssd

8d3ad092825d6f05b8a3fa7c25be7b541bf86ed9

[ "MIT" ]

null

checkAnnotation.py

ZZIDZZ/pytorch-ssd

8d3ad092825d6f05b8a3fa7c25be7b541bf86ed9

[ "MIT" ]

null

import argparse import sys import cv2 import os import os.path as osp import numpy as np if sys.version_info[0] == 2: import xml.etree.cElementTree as ET else: import xml.etree.ElementTree as ET parser = argparse.ArgumentParser( description='Single Shot MultiBox Detector ...

29.987654

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0

0.010463

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0.125

0

null

0

null

0

1

0

be5d745da0aee12618b5456e7d8cbede2e23e222

656

py

Python

venv/lib/python3.7/site-packages/convertdate/dublin.py

vchiapaikeo/prophet

e8c250ca7bfffc280baa7dabc80a2c2d1f72c6a7

[ "MIT" ]

null

venv/lib/python3.7/site-packages/convertdate/dublin.py

vchiapaikeo/prophet

e8c250ca7bfffc280baa7dabc80a2c2d1f72c6a7

[ "MIT" ]

null

venv/lib/python3.7/site-packages/convertdate/dublin.py

vchiapaikeo/prophet

e8c250ca7bfffc280baa7dabc80a2c2d1f72c6a7

[ "MIT" ]

null

# -*- coding: utf-8 -*- # This file is part of convertdate. # http://github.com/fitnr/convertdate # Licensed under the MIT license: # http://opensource.org/licenses/MIT # Copyright (c) 2016, fitnr <fitnr@fakeisthenewreal> '''Convert to and from the Dublin day count''' from . import daycount EPOCH = 2415020 # Juli...

19.878788

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0

1

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false

0

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0

0.090909

0

null

0

null

0

1

0

be5e4769d08439109a7dee5ae6c729de8b3ba612

1,232

py

Python

code/generate_thought_vectors.py

midas-research/text2facegan

3770333f16234fc9328d8254d1c1112fad15a16c

[ "MIT" ]

23

2020-04-09T19:17:46.000Z

2021-04-13T13:46:06.000Z

code/generate_thought_vectors.py

midas-research/text2facegan

3770333f16234fc9328d8254d1c1112fad15a16c

[ "MIT" ]

3

2020-02-16T16:21:38.000Z

2021-05-22T13:18:57.000Z

code/generate_thought_vectors.py

midas-research/text2facegan

3770333f16234fc9328d8254d1c1112fad15a16c

[ "MIT" ]

7

2020-02-27T22:27:33.000Z

2021-03-16T06:03:32.000Z

import os from os.path import join, isfile import re import numpy as np import pickle import argparse import skipthoughts import h5py def main(): parser = argparse.ArgumentParser() #parser.add_argument('--caption_file', type=str, default='Data/sample_captions.txt', # help='caption file') parser.add_argumen...

30.8

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0

0.005576

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null

0

null

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1

0

be5f92734068facbaab6ebcd59a70aae8bdb395f

415

py

Python

venv/Lib/site-packages/mcipc/rcon/response_types/difficulty.py

Svesnav2/Discord-Bot-Minecraft-server-status

ee34948e741930567a3adb557197523f9d32ace1

[ "Unlicense" ]

null

venv/Lib/site-packages/mcipc/rcon/response_types/difficulty.py

Svesnav2/Discord-Bot-Minecraft-server-status

ee34948e741930567a3adb557197523f9d32ace1

[ "Unlicense" ]

null

venv/Lib/site-packages/mcipc/rcon/response_types/difficulty.py

Svesnav2/Discord-Bot-Minecraft-server-status

ee34948e741930567a3adb557197523f9d32ace1

[ "Unlicense" ]

null

"""Parsing responses from the difficulty command.""" from mcipc.rcon.functions import boolmap __all__ = ['parse'] SET = 'The difficulty has been set to (\\w+)' UNCHANGED = 'The difficulty did not change; it is already set to (\\w+)' def parse(text: str) -> bool: """Parses a boolean value from the text re...

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0.5

0

null

0

null

0

1

0

be6134b8d63935100cb7803033cbd22148a4202a

1,558

py

Python

eth/beacon/aggregation.py

Bhargavasomu/py-evm

ee8f72d5a70805575a967cde0a43942e1526264e

[ "MIT" ]

null

eth/beacon/aggregation.py

Bhargavasomu/py-evm

ee8f72d5a70805575a967cde0a43942e1526264e

[ "MIT" ]

null

eth/beacon/aggregation.py

Bhargavasomu/py-evm

ee8f72d5a70805575a967cde0a43942e1526264e

[ "MIT" ]

null

from typing import ( Iterable, Tuple, ) from cytoolz import ( pipe ) from eth._utils import bls from eth._utils.bitfield import ( set_voted, ) from eth.beacon.enums import SignatureDomain from eth.beacon.typing import ( BLSPubkey, BLSSignature, Bitfield, CommitteeIndex, ) def verify_v...

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69

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0

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0.04

false

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0

0.2

0

null

0

null

0

1

0

be6143e65d151cdd084aada126448567dcd0c1d7

7,090

py

Python

src/server/bos/controllers/v1/components.py

Cray-HPE/bos

a4a7fc58c884d951b6051093e1a4e2aeaba6740f

[ "MIT" ]

1

2022-03-15T18:17:11.000Z

src/server/bos/controllers/v1/components.py

Cray-HPE/bos

a4a7fc58c884d951b6051093e1a4e2aeaba6740f

[ "MIT" ]

null

src/server/bos/controllers/v1/components.py

Cray-HPE/bos

a4a7fc58c884d951b6051093e1a4e2aeaba6740f

[ "MIT" ]

1

2022-03-06T12:47:06.000Z

# Copyright 2021 Hewlett Packard Enterprise Development LP # # Permission is hereby granted, free of charge, to any person obtaining a # copy of this software and associated documentation files (the "Software"), # to deal in the Software without restriction, including without limitation # the rights to use, copy, modif...

36.173469

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0

null

0

null

0

1

0

be644a96343b814a2cf63e0bf374f535055ecf7e

6,856

py

Python

test/mitmproxy/addons/test_proxyserver.py

KarlParkinson/mitmproxy

fd5caf40c75ca73c4b767170497abf6a5bf016a0

[ "MIT" ]

24,939

2015-01-01T17:13:21.000Z

2022-03-31T17:50:04.000Z

test/mitmproxy/addons/test_proxyserver.py

KarlParkinson/mitmproxy

fd5caf40c75ca73c4b767170497abf6a5bf016a0

[ "MIT" ]

3,655

2015-01-02T12:31:43.000Z

2022-03-31T20:24:57.000Z

test/mitmproxy/addons/test_proxyserver.py

KarlParkinson/mitmproxy

fd5caf40c75ca73c4b767170497abf6a5bf016a0

[ "MIT" ]

3,712

2015-01-06T06:47:06.000Z

2022-03-31T10:33:27.000Z

import asyncio from contextlib import asynccontextmanager import pytest from mitmproxy import exceptions from mitmproxy.addons.proxyserver import Proxyserver from mitmproxy.connection import Address from mitmproxy.proxy import layers, server_hooks from mitmproxy.proxy.layers.http import HTTPMode from mitmproxy.test i...

35.895288

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6,856

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false

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0

0.111111

0

null

0

null

0

1

0

be64e074af6729b6171d5eed328bc46d2d983abb

19,608

py

Python

tensorflow_probability/python/distributions/masked.py

mederrata/probability

bc6c411b0fbd83141f303f91a27343fe3c43a797

[ "Apache-2.0" ]

1

2022-03-22T11:56:31.000Z

tensorflow_probability/python/distributions/masked.py

robot0102/probability

89d248c420b8ecabfd9d6de4a1aa8d3886920049

[ "Apache-2.0" ]

null

tensorflow_probability/python/distributions/masked.py

robot0102/probability

89d248c420b8ecabfd9d6de4a1aa8d3886920049

[ "Apache-2.0" ]

null

# Copyright 2021 The TensorFlow Probability Authors. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law o...

41.719149

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19,608

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0

null

0

null

0

1

0

be665e63998c0015bc21386a7c5b3385196a6cfb

5,403

py

Python

heuristic/improvement/reopt/disruption_updater.py

annalunde/master

2552d43713e8ebca0b0e57bc5bebd1eaeeac1875

[ "MIT" ]

1

2022-03-17T15:40:00.000Z

heuristic/improvement/reopt/disruption_updater.py

annalunde/master

2552d43713e8ebca0b0e57bc5bebd1eaeeac1875

[ "MIT" ]

null

heuristic/improvement/reopt/disruption_updater.py

annalunde/master

2552d43713e8ebca0b0e57bc5bebd1eaeeac1875

[ "MIT" ]

null

import copy import pandas as pd from decouple import config from heuristic.construction.construction import ConstructionHeuristic from config.construction_config import * from simulation.simulator import Simulator from heuristic.improvement.reopt.new_request_updater import NewRequestUpdater class DisruptionUpdater: ...

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false

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0

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0

null

0

null

0

1

0

be6ac11cc08ea3cf2a70097fa4537b051b80fea9

834

py

Python

tests/test_pyqrcodeng_issue13.py

dbajar/segno

f7d5669537b12d3ebb914ae6d0a0a1e14f8d25f5

[ "BSD-3-Clause" ]

254

2016-09-25T21:32:00.000Z

2022-03-30T09:56:14.000Z

tests/test_pyqrcodeng_issue13.py

dbajar/segno

f7d5669537b12d3ebb914ae6d0a0a1e14f8d25f5

[ "BSD-3-Clause" ]

102

2016-08-04T12:18:44.000Z

2022-03-23T09:09:51.000Z

tests/test_pyqrcodeng_issue13.py

dbajar/segno

f7d5669537b12d3ebb914ae6d0a0a1e14f8d25f5

[ "BSD-3-Clause" ]

34

2016-09-25T21:34:42.000Z

2022-03-30T08:19:03.000Z

# -*- coding: utf-8 -*- # # Copyright (c) 2016 - 2020 -- Lars Heuer # All rights reserved. # # License: BSD License # """\ Test against issue <https://github.com/pyqrcode/pyqrcodeNG/pull/13/>. The initial test was created by Mathieu <https://github.com/albatros69>, see the above mentioned pull request. Adapted for Se...

21.947368

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37

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false

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null

0

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1

0

be6f25ab250ddab2ab944a4c759bdf74b87010ce

12,251

py

Python

usaspending_api/download/lookups.py

lenjonemcse/usaspending-api

cbffc4e0a0c2b1339c7a8bfe6b0d687b3731b6ce

[ "CC0-1.0" ]

1

2022-01-28T16:08:04.000Z

usaspending_api/download/lookups.py

lenjonemcse/usaspending-api

cbffc4e0a0c2b1339c7a8bfe6b0d687b3731b6ce

[ "CC0-1.0" ]

null

usaspending_api/download/lookups.py

lenjonemcse/usaspending-api

cbffc4e0a0c2b1339c7a8bfe6b0d687b3731b6ce

[ "CC0-1.0" ]

null

""" This file defines a series of constants that represent the values used in the API's "helper" tables. Rather than define the values in the db setup scripts and then make db calls to lookup the surrogate keys, we'll define everything here, in a file that can be used by the db setup scripts *and* the application code...

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null

0

null

0

1

0

be7401e08d215565703c4b9fa33b7d5e7ca05a69

8,827

py

Python

src/evaluation_utils.py

philipp-hess/deep-learning-for-heavy-rainfall

dbec03245dd8db0c5f2f53af014b8dd8d80f245c

[ "MIT" ]

null

src/evaluation_utils.py

philipp-hess/deep-learning-for-heavy-rainfall

dbec03245dd8db0c5f2f53af014b8dd8d80f245c

[ "MIT" ]

null

src/evaluation_utils.py

philipp-hess/deep-learning-for-heavy-rainfall

dbec03245dd8db0c5f2f53af014b8dd8d80f245c

[ "MIT" ]

null

import numpy as np import pandas as pd from scipy.stats import spearmanr from sklearn.metrics import f1_score, precision_score, recall_score from IPython.display import display, clear_output from sklearn.metrics import confusion_matrix import scipy.stats as st def continuous_to_categorical_with_quantiles(data: np.nda...

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0.299363

0.038217

0

null

0

null

0

1

0

be74846aa8bb878ca4aaee267b213fd10335d381

1,709

py

Python

poloniex_apis/api_models/deposit_withdrawal_history.py

xJuggl3r/anapolo

5ffd87594c75575c5a19b9f47bf1b6606cfcdd1b

[ "MIT" ]

null

poloniex_apis/api_models/deposit_withdrawal_history.py

xJuggl3r/anapolo

5ffd87594c75575c5a19b9f47bf1b6606cfcdd1b

[ "MIT" ]

null

poloniex_apis/api_models/deposit_withdrawal_history.py

xJuggl3r/anapolo

5ffd87594c75575c5a19b9f47bf1b6606cfcdd1b

[ "MIT" ]

null

from collections import defaultdict from poloniex_apis.api_models.ticker_price import TickerData class DWHistory: def __init__(self, history): self.withdrawals = defaultdict(float) self.deposits = defaultdict(float) self.history = history def get_dw_history(self): for deposit...

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0

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0.222222

0

null

0

null

0

1

0

be748f98db9ba8c29d78f47f7af4dd25c01061b7

7,320

py

Python

app/handler.py

vnrag/aws-pipeline-dashboard

679af73f8e777990840bc829a014e205f0c94ac0

[ "BSD-3-Clause" ]

null

app/handler.py

vnrag/aws-pipeline-dashboard

679af73f8e777990840bc829a014e205f0c94ac0

[ "BSD-3-Clause" ]

null

app/handler.py

vnrag/aws-pipeline-dashboard

679af73f8e777990840bc829a014e205f0c94ac0

[ "BSD-3-Clause" ]

null

from datetime import datetime,timezone import sys import boto3 import json def pipeline_event(event, context): state = get_final_state(event) if state is None: return event_time = datetime.strptime(event['time'], '%Y-%m-%dT%H:%M:%SZ').replace(tzinfo=timezone.utc) metric_data = [] if eve...

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0.006329

0

null

0

null

0

1

0

be74f9e10e7b3e7db834044fe7d0389031a09884

4,507

py

Python

cogs/commands.py

sudo-do/discord-chatbot

970af7d8b9275a518396648ebe5c33c291370d6a

[ "MIT" ]

1

2021-05-14T08:01:53.000Z

cogs/commands.py

sudo-do/discord-chatbot

970af7d8b9275a518396648ebe5c33c291370d6a

[ "MIT" ]

null

cogs/commands.py

sudo-do/discord-chatbot

970af7d8b9275a518396648ebe5c33c291370d6a

[ "MIT" ]

null

import discord import sqlite3 from discord.ext import commands conn= sqlite3.connect("dbs/main.db") class Commands(commands.Cog): def __init__(self, bot): self.bot = bot @commands.command() @commands.cooldown(1, 30, commands.BucketType.guild) @commands.has_permissions(manage_channels=True) async def setchann...

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0

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0

0.102041

0

null

0

null

0

1

0

be75b53bc3cf75e488408e710557a7588ee69c9c

6,210

py

Python

poetry/console/commands/self/update.py

mgasner/poetry

44221689e05feb0cc93c231096334f8eefbf86fc

[ "MIT" ]

null

poetry/console/commands/self/update.py

mgasner/poetry

44221689e05feb0cc93c231096334f8eefbf86fc

[ "MIT" ]

null

poetry/console/commands/self/update.py

mgasner/poetry

44221689e05feb0cc93c231096334f8eefbf86fc

[ "MIT" ]

null

import hashlib import os import shutil import subprocess import sys import tarfile from functools import cmp_to_key from gzip import GzipFile try: from urllib.error import HTTPError from urllib.request import urlopen except ImportError: from urllib2 import HTTPError from urllib2 import urlopen from c...

27.972973

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0.311927

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0.026914

0.023923

0.163278

0.129785

0.102871

0

0.005939

0.349275

6,210

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0

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0

0.139394

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0.278788

0

null

0

null

0

1

0

be7730b08647563bbdf351876a21f2fa9df7d7f9

3,765

py

Python

main.py

rohit-k-das/crowdstrike-alerts

48c23357f819f90134f76cefb58f1355967363d4

[ "MIT" ]

3

2019-07-10T17:05:56.000Z

2019-10-18T22:34:08.000Z

main.py

rohit-k-das/crowdstrike-alerts

48c23357f819f90134f76cefb58f1355967363d4

[ "MIT" ]

1

2020-01-09T14:43:58.000Z

2020-02-06T11:24:04.000Z

main.py

rohit-k-das/crowdstrike-alerts

48c23357f819f90134f76cefb58f1355967363d4

[ "MIT" ]

2

2019-07-10T17:05:57.000Z

2019-10-18T22:34:09.000Z

import requests import crowdstrike_detection as crowdstrike import logging import click import urllib.parse import ConfigParser import os logging.basicConfig(level=logging.INFO, format='%(asctime)s %(name)-15s [%(levelname)-8s]: %(message)s', datefmt='%m/%d/%Y %I:%M:%S %p') logger = logging.get...

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0.004913

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0

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0

0.130435

0

null

0

null

0

1

0

be775d3a62274c2c57f452dafb16e1035b3dff0c

4,593

py

Python

Test3/yandexAPI3.py

klepik1990/YandexTestAPI

ded41ff607c0b209b51efbcaa13c8008156a5e0a

[ "MIT" ]

null

Test3/yandexAPI3.py

klepik1990/YandexTestAPI

ded41ff607c0b209b51efbcaa13c8008156a5e0a

[ "MIT" ]

null

Test3/yandexAPI3.py

klepik1990/YandexTestAPI

ded41ff607c0b209b51efbcaa13c8008156a5e0a

[ "MIT" ]

null

import requests import json HEADERS = {"Authorization": "OAuth AgAAAAA00Se2AAW1W1yCegavqkretMXBGkoUUQk", "Accept": "*/*"} URL = "https://cloud-api.yandex.net:443/v1/disk/" def get_folder_info(folder_name_1, folder_name_2, url=None, headers=None): """Получение информации о статусе папок на диске Args: ...

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0.434095

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0

0.4

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null

0

null

0

1

0

be78c46e8b283fc835a189209cd53b3fea610e40

3,208

py

Python

app/users/operator/views.py

trinanda/AQUR

2a415b05ba4c0113b05b6fa14fb454af2bad52ec

[ "MIT" ]

null

app/users/operator/views.py

trinanda/AQUR

2a415b05ba4c0113b05b6fa14fb454af2bad52ec

[ "MIT" ]

null

app/users/operator/views.py

trinanda/AQUR

2a415b05ba4c0113b05b6fa14fb454af2bad52ec

[ "MIT" ]

null

import os from collections import defaultdict from flask import render_template from flask_login import login_required from sqlalchemy import and_ from app import db from app.decorators import operator_required from app.models import Student, MonthNameList, Course, PaymentStatus, Payment, Teacher, Schedule from app.u...

40.1

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0.049587

0.035813

0.040404

0.342975

0.224977

0.162534

0.137741

0.096419

0.065197

0

0.00079

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3,208

79

119

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0

0.186441

0

null

0

null

0

1

0

be7e9dc9b18c9759a533f45fd2110a059eb361f0

19,192

py

Python

pfile/accessor.py

thorwhalen/ut

353a4629c35a2cca76ef91a4d5209afe766433b4

[ "MIT" ]

4

2016-12-17T20:06:10.000Z

2021-11-19T04:45:29.000Z

pfile/accessor.py

thorwhalen/ut

353a4629c35a2cca76ef91a4d5209afe766433b4

[ "MIT" ]

11

2021-01-06T05:35:11.000Z

2022-03-11T23:28:31.000Z

pfile/accessor.py

thorwhalen/ut

353a4629c35a2cca76ef91a4d5209afe766433b4

[ "MIT" ]

3

2015-06-12T10:44:16.000Z

2021-07-26T18:39:47.000Z

"""File access utils""" __author__ = 'thorwhalen' # from ut.datapath import datapath import pickle import os from ut.util.importing import get_environment_variable import pandas as pd import ut.pfile.to as file_to import ut.pfile.name as pfile_name import ut.pstr.to as pstr_to from ut.serialize.local import Local from...

41.90393

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0.036127

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0.039363

0.538838

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0.363366

0.324615

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0

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19,192

457

126

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0.003401

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0.013605

0

null

0

null

0

1

0

be7ea94dc71a3948ab59fd9c3e80bde2599bb1f1

4,309

py

Python

scripts/statistics.py

cstenkamp/MastersThesisText

d026f9c19819c83d99dfff12b594db9d061bfb31

[ "CC0-1.0" ]

null

scripts/statistics.py

cstenkamp/MastersThesisText

d026f9c19819c83d99dfff12b594db9d061bfb31

[ "CC0-1.0" ]

null

scripts/statistics.py

cstenkamp/MastersThesisText

d026f9c19819c83d99dfff12b594db9d061bfb31

[ "CC0-1.0" ]

null

import subprocess import git from os.path import dirname, join, abspath import pandas as pd from matplotlib import pyplot as plt import requests import io import zipfile import tempfile from datetime import timedelta FILENAME = join(dirname(__file__), "..", "thesis.tex") DISP_PAGESMAX = 80 DISP_WORDSMAX = 10000 def ...

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0.015117

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0.023432

0

0.013486

0.191228

4,309

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145

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0.745768

0.042933

0

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0

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0

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0

1

0.078652

false

0

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0.011236

0

null

0

null

0

1

0

be7ef9e5cafc81c92530c829cae514f567ffa39a

1,966

py

Python

setup.py

TheFraserLab/enrich_pvalues

6c5065da5e6367cc39a045afbdfa1e78322857a6

[ "MIT" ]

1

2019-03-25T17:38:47.000Z

setup.py

TheFraserLab/enrich_pvalues

6c5065da5e6367cc39a045afbdfa1e78322857a6

[ "MIT" ]

null

setup.py

TheFraserLab/enrich_pvalues

6c5065da5e6367cc39a045afbdfa1e78322857a6

[ "MIT" ]

null

"""Installation instructions for enrich_pvalues.""" import os from setuptools import setup import enrich_pvalues # For version VERSION=enrich_pvalues.__version__ GITHUB='https://github.com/MikeDacre/enrich_pvalues' with open('requirements.txt') as fin: REQUIREMENTS = [ i[0] for i in [j.split('>=') for j...

28.085714

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0.579439

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0.063131

0

0.005442

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1,966

69

78

28.492754

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0

0.08

0

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0

1

0.02

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0

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0

0.1

0

null

0

null

0

1

0

be8016a800ed48d86a67fbff5afe5ec6d0a2e6a3

2,173

py

Python

examples/source/benchmarks/googlenet_model.py

ably77/dcos-tensorflow-tools

d434ff6c0cee6db9f62be583723dc2bee46ebbf2

[ "Apache-2.0" ]

7

2017-11-02T18:21:37.000Z

2019-06-20T20:46:51.000Z

scripts/tf_cnn_benchmarks/googlenet_model.py

Aetf/tf_benchmarks

b473961620de1b03cb34902960c820e195bea678

[ "Apache-2.0" ]

7

2017-10-19T20:45:25.000Z

2020-03-24T15:28:52.000Z

scripts/tf_cnn_benchmarks/googlenet_model.py

Aetf/tf_benchmarks

b473961620de1b03cb34902960c820e195bea678

[ "Apache-2.0" ]

4

2017-10-19T09:57:17.000Z

2019-01-22T05:33:25.000Z

# Copyright 2017 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applica...

37.465517

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0.61942

339

2,173

3.908555

0.433628

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0.10566

0.030189

0.181132

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0.128302

0.113208

0.076981

0

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0.199724

2,173

57

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38.122807

0.627372

0.42752

0

0.214286

0

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false

0

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0.178571

0

null

0

null

0

1

0

be82ffa5bc528b97777e4e4160bb45aca2d0d6ec

12,669

py

Python

process_ops.py

gcosne/generative_inpainting

1ae50277e5815a4f0c1e339ede0dbfae8e5036d1

[ "MIT" ]

11

2018-11-16T04:29:06.000Z

2019-07-25T08:11:47.000Z

process_ops.py

Yukariin/PEPSI

91aea1ae6f528d92ee19007ed132d3482b3a98cc

[ "MIT" ]

null

process_ops.py

Yukariin/PEPSI

91aea1ae6f528d92ee19007ed132d3482b3a98cc

[ "MIT" ]

1

2019-07-16T18:52:49.000Z

import cv2 import numpy as np try: import scipy # scipy.ndimage cannot be accessed until explicitly imported from scipy import ndimage except ImportError: scipy = None def flip_axis(x, axis): x = np.asarray(x).swapaxes(axis, 0) x = x[::-1, ...] x = x.swapaxes(0, axis) return x def r...

38.861963

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4.26046

0.120801

0.03361

0.022822

0.03112

0.575242

0.539972

0.529046

0.513416

0.477593

0

0.019158

0.311943

12,669

325

128

38.981538

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0

0.278947

0

0.03255

0

1

0.052632

false

0

0.042105

0

0.147368

0

null

0

null

0

1

0

be84323ccf5c7d5239ba7b3bf5eba0ad7152ce2f

2,927

py

Python

fasm2bels/database/connection_db_utils.py

mithro/symbiflow-xc-fasm2bels

9ed029558bedca4e726969427dc4e62ecd6d5733

[ "ISC" ]

null

fasm2bels/database/connection_db_utils.py

mithro/symbiflow-xc-fasm2bels

9ed029558bedca4e726969427dc4e62ecd6d5733

[ "ISC" ]

null

fasm2bels/database/connection_db_utils.py

mithro/symbiflow-xc-fasm2bels

9ed029558bedca4e726969427dc4e62ecd6d5733

[ "ISC" ]

null

import functools def create_maybe_get_wire(conn): c = conn.cursor() @functools.lru_cache(maxsize=None) def get_tile_type_pkey(tile): c.execute('SELECT pkey, tile_type_pkey FROM phy_tile WHERE name = ?', (tile, )) return c.fetchone() @functools.lru_cache(maxsize=None...

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null

0

null

0

1

0

be84a1cf98701b670f1ef999229373bd7e2f389c

2,443

py

Python

ppr-api/src/services/payment_service.py

bcgov/ppr-deprecated

c8925b6f6b0d7fb3f4e267dfe25650a1045ef2e3

[ "Apache-2.0" ]

1

2019-11-15T19:07:25.000Z

ppr-api/src/services/payment_service.py

bryan-gilbert/ppr

c8925b6f6b0d7fb3f4e267dfe25650a1045ef2e3

[ "Apache-2.0" ]

6

2021-03-03T05:18:35.000Z

2022-02-10T21:55:45.000Z

ppr-api/src/services/payment_service.py

bcgov/ppr-deprecated

c8925b6f6b0d7fb3f4e267dfe25650a1045ef2e3

[ "Apache-2.0" ]

null

"""A module that provides functionality for accessing the Payments API.""" import enum import http import logging import requests from fastapi import Depends, Header, HTTPException from fastapi.security.http import HTTPAuthorizationCredentials import auth.authentication import config import schemas.payment logger ...

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0

null

0

null

0

1

0

be87bd0c5c2ff868bb6a502f0a693e022ddbbafe

1,049

py

Python

logger_decorator.py

jbhayback/reconciliation-manager

5de10a0ec89e397a4937d1764976c94cde06beee

[ "MIT" ]

null

logger_decorator.py

jbhayback/reconciliation-manager

5de10a0ec89e397a4937d1764976c94cde06beee

[ "MIT" ]

null

logger_decorator.py

jbhayback/reconciliation-manager

5de10a0ec89e397a4937d1764976c94cde06beee

[ "MIT" ]

null

from datetime import datetime import inspect def log_time(msg=None): def decorator(f): nonlocal msg if msg is None: msg = '{} time spent: '.format(f.__name__) def inner(*args, **kwargs): # check if the object has a logger global logger if ar...

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0

null

0

null

0

1

0

be8a2d82d13baa6e60ff4dbca25351bcb2190394

1,418

py

Python

critical/tasks.py

lenarother/django-critical-css

15c12ea02f7ea049e59efba4d963c35f41f26d78

[ "MIT" ]

2

2020-06-06T06:50:38.000Z

2022-02-03T08:54:28.000Z

critical/tasks.py

lenarother/django-critical-css

15c12ea02f7ea049e59efba4d963c35f41f26d78

[ "MIT" ]

5

2018-12-17T11:12:20.000Z

2020-11-27T10:28:51.000Z

critical/tasks.py

lenarother/django-critical-css

15c12ea02f7ea049e59efba4d963c35f41f26d78

[ "MIT" ]

1

2021-08-19T06:02:44.000Z

import logging from django.utils.safestring import mark_safe from django_rq import job from inline_static.css import transform_css_urls logger = logging.getLogger(__name__) @job def calculate_critical_css(critical_id, original_path): from .exceptions import CriticalException from .models import Critical ...

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95

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0

null

0

null

0

1

0

be8c87105d1db21be6f93eb2ae080ad460d99a47

1,837

py

Python

test.py

wei2912/bce-simulation

65c19051417c871bce4585481eb06c5ba986a96f

[ "MIT" ]

null

test.py

wei2912/bce-simulation

65c19051417c871bce4585481eb06c5ba986a96f

[ "MIT" ]

1

2016-11-06T11:50:45.000Z

2016-11-06T11:53:49.000Z

test.py

wei2912/bce-simulation

65c19051417c871bce4585481eb06c5ba986a96f

[ "MIT" ]

null

#!/usr/bin/env python # coding=utf-8 """ This script tests the simulations of the experiments. """ import math from utils import coin_var, needle_var def main(): needle_var_vals = [ (1.1, 1.0), (1.4, 1.0), (2.0, 1.0), (2.9, 1.0), (3.3, 1.0), (5.0, 1.0) ] ...

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null

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null

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0

be8d24f272fa353fa6c9d0869d13de96b4754241

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py

Python

python/530.minimum-absolute-difference-in-bst.py

vermouth1992/Leetcode

0d7dda52b12f9e01d88fc279243742cd8b4bcfd1

[ "MIT" ]

null

python/530.minimum-absolute-difference-in-bst.py

vermouth1992/Leetcode

0d7dda52b12f9e01d88fc279243742cd8b4bcfd1

[ "MIT" ]

null

python/530.minimum-absolute-difference-in-bst.py

vermouth1992/Leetcode

0d7dda52b12f9e01d88fc279243742cd8b4bcfd1

[ "MIT" ]

null

# # @lc app=leetcode id=530 lang=python3 # # [530] Minimum Absolute Difference in BST # # https://leetcode.com/problems/minimum-absolute-difference-in-bst/description/ # # algorithms # Easy (55.23%) # Total Accepted: 115.5K # Total Submissions: 209K # Testcase Example: '[4,2,6,1,3]' # # Given the root of a Binary S...

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null

0

null

0

1

0

be8d50256f2d9fce8a7ed11893b6cad92bc5a14b

2,769

py

Python

tensorflow/python/eager/remote_cloud_tpu_test.py

abhaikollara/tensorflow

4f96df3659696990cb34d0ad07dc67843c4225a9

[ "Apache-2.0" ]

26

2019-11-10T15:33:34.000Z

2022-03-24T19:56:57.000Z

tensorflow/python/eager/remote_cloud_tpu_test.py

abhaikollara/tensorflow

4f96df3659696990cb34d0ad07dc67843c4225a9

[ "Apache-2.0" ]

6

2022-01-15T07:17:47.000Z

2022-02-14T15:28:22.000Z

tensorflow/python/eager/remote_cloud_tpu_test.py

abhaikollara/tensorflow

4f96df3659696990cb34d0ad07dc67843c4225a9

[ "Apache-2.0" ]

6

2020-03-29T11:10:53.000Z

2021-06-14T05:39:14.000Z

# Copyright 2019 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable ...

36.434211

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null

0

null

0

1

0

be8db6395c3bc7d6f2f0df95f16ef512dceb29b7

1,418

py

Python

test/functional/bsv-blocksize-params.py

gbtn/bitcoin-sv-gbtn

8b09d1aa072da819fb3309b0be85dae0f1ac9549

[ "MIT" ]

3

2018-12-03T03:55:08.000Z

2019-08-13T07:50:45.000Z

test/functional/bsv-blocksize-params.py

Chihuataneo/bitcoin-sv

d9b12a23dbf0d2afc5f488fa077d762b302ba873

[ "MIT" ]

1

2020-02-09T11:35:45.000Z

test/functional/bsv-blocksize-params.py

Chihuataneo/bitcoin-sv

d9b12a23dbf0d2afc5f488fa077d762b302ba873

[ "MIT" ]

1

2018-11-25T03:18:52.000Z

#!/usr/bin/env python3 # Copyright (c) 2015-2016 The Bitcoin Core developers # Copyright (c) 2017 The Bitcoin developers # Distributed under the MIT software license, see the accompanying # file COPYING or http://www.opensource.org/licenses/mit-license.php. """ Test that the blockmaxsize and excessiveblocksize paramete...

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0.051724

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0

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0

null

0

null

0

1

0

be8eb4d6e0f2ba30a5412f64a491cd5cc3dcacad

1,750

py

Python

yotta/test/cli/outdated.py

headlessme/yotta

947ab074b629c8f18ca91ab84ebaa29096b011c6

[ "Apache-2.0" ]

null

yotta/test/cli/outdated.py

headlessme/yotta

947ab074b629c8f18ca91ab84ebaa29096b011c6

[ "Apache-2.0" ]

null

yotta/test/cli/outdated.py

headlessme/yotta

947ab074b629c8f18ca91ab84ebaa29096b011c6

[ "Apache-2.0" ]

null

#!/usr/bin/env python # Copyright 2015 ARM Limited # # Licensed under the Apache License, Version 2.0 # See LICENSE file for details. # standard library modules, , , import unittest # internal modules: from . import util from . import cli Test_Outdated = { 'module.json':'''{ "name": "test-outdated", "version": "...

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0

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0

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0.023256

0

null

0

null

0

1

0

be8fca7576bb080c666d1d705dca421abd5cb1da

2,453

py

Python

A_Stocker/Stocker.py

Allen1218/Python_Project_Interesting

55d5e58e70e21d45c4bb9dc4d4c219f3a8385834

[ "Apache-2.0" ]

1

2021-02-03T12:08:06.000Z

A_Stocker/Stocker.py

Allen1218/Python_Project_Interesting

55d5e58e70e21d45c4bb9dc4d4c219f3a8385834

[ "Apache-2.0" ]

null

A_Stocker/Stocker.py

Allen1218/Python_Project_Interesting

55d5e58e70e21d45c4bb9dc4d4c219f3a8385834

[ "Apache-2.0" ]

null

import threading import tushare as ts import pandas as pd import datetime STOCK = {#'002594':[1,170.15], ## 比亚迪 / 几手，成本价 '601012':[11,99.9], ## 隆基股份 '002340':[12,8.72], ## 格林美 '603259':[1,141.7], ## 药明康德 '002346':[10,10.68], ## 柘中股份 #'600438':[9,42.96], ## ...

30.6625

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0

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1

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0

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0.115385

0

null

0

null

0

1

0

be9026a8dcf2d835f2e8c702efdeeb3e278299c1

1,011

py

Python

tests/extractors/test_etrade.py

mkazin/StatementRenamer

ef03c71f0e627a15a4bba08e45bfa90ecacd28fc

[ "Apache-2.0" ]

null

tests/extractors/test_etrade.py

mkazin/StatementRenamer

ef03c71f0e627a15a4bba08e45bfa90ecacd28fc

[ "Apache-2.0" ]

15

2018-05-01T12:48:30.000Z

2021-05-14T02:52:48.000Z

tests/extractors/test_etrade.py

mkazin/StatementRenamer

ef03c71f0e627a15a4bba08e45bfa90ecacd28fc

[ "Apache-2.0" ]

1

2019-07-09T22:59:50.000Z

from datetime import datetime from statement_renamer.extractors.etrade import ETradeDateExtractor as EXTRACTOR_UNDER_TEST from statement_renamer.extractors.factory import ExtractorFactory TESTDATA = ( """ PAGE 1 OF 6 February 1, 2019 - March 31, 2019AccountNumber:####-####AccountType:ROTH IRA PAGE 5 OF ...

32.612903

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1,011

6.288136

0.516949

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0.072776

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0.053908

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1,011

30

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0

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0

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1

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false

0

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0

0.333333

0

null

0

null

0

1

0

be986d230ef62a7e44ef6996ed58eb548aa4181b

4,004

py

Python

SciDataTool/Methods/VectorField/plot_3D_Data.py

BenjaminGabet/SciDataTool

7994441de4c54921d43750cacd8df761ba4bd421

[ "Apache-2.0" ]

null

SciDataTool/Methods/VectorField/plot_3D_Data.py

BenjaminGabet/SciDataTool

7994441de4c54921d43750cacd8df761ba4bd421

[ "Apache-2.0" ]

null

SciDataTool/Methods/VectorField/plot_3D_Data.py

BenjaminGabet/SciDataTool

7994441de4c54921d43750cacd8df761ba4bd421

[ "Apache-2.0" ]

null

def plot_3D_Data( self, *arg_list, is_norm=False, unit="SI", component_list=None, save_path=None, x_min=None, x_max=None, y_min=None, y_max=None, z_min=None, z_max=None, z_range=None, is_auto_ticks=True, is_auto_range=False, is_2D_view=False, is_same_s...

29.880597

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0.610889

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4,004

3.794362

0.237148

0.052448

0.028846

0.04021

0.27229

0.134178

0.049388

0.035839

0

0.008151

0.325924

4,004

133

100

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0.83957

0.434815

0

0.008321

0

1

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false

0

0.013514

0

null

0

null

0

1

0

be9aae87c4295f41e5dad9ea47ddb818dd41be55

1,246

py

Python

mileage.py

vwfinley/mileage

eb880107c8c38d33706eac74d01a0d0516716cc7

[ "MIT" ]

null

mileage.py

vwfinley/mileage

eb880107c8c38d33706eac74d01a0d0516716cc7

[ "MIT" ]

null

mileage.py

vwfinley/mileage

eb880107c8c38d33706eac74d01a0d0516716cc7

[ "MIT" ]

null

#!/usr/bin/env python # Some helpful links # https://docs.python.org/3/library/tkinter.html # https://www.python-course.eu/tkinter_entry_widgets.php import tkinter as tk class Application(tk.Frame): def __init__(self, root=None): super().__init__(root) self.root = root ...

28.318182

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0.578652

168

1,246

4.220238

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0.078984

0.062059

0.06347

0.06488

0

0.021763

0.26244

1,246

43

91

28.976744

0.749728

0.113162

0

0.043478

0

1

0.12

false

0

0.04

0

0.2

0

null

0

null

0

1

0

be9bd5f7d840a39915f5c547fcf6ced95fe85e75

1,087

py

Python

rankings/elo.py

ulternate/table_tennis_league

1762c5b606f149b27d9c06c82e825c948c47b56f

[ "MIT" ]

null

rankings/elo.py

ulternate/table_tennis_league

1762c5b606f149b27d9c06c82e825c948c47b56f

[ "MIT" ]

7

2017-08-18T04:15:16.000Z

2017-08-28T00:54:25.000Z

rankings/elo.py

mohamed-yahya-zakria/table-tennis-league

07cc6fe46100a4d4279c8a6ae5eea26984df4664

[ "MIT" ]

1

2017-08-18T11:24:00.000Z

def elo(winner_rank, loser_rank, weighting): """ :param winner: The Player that won the match. :param loser: The Player that lost the match. :param weighting: The weighting factor to suit your comp. :return: (winner_new_rank, loser_new_rank) Tuple. This follows the ELO ranking method. """ ...

37.482759

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0.720331

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1,087

5

0.304054

0.175676

0.087838

0.102703

0.078378

0

0.032184

0.199632

1,087

28

74

38.821429

0.818391

0.25299

0

0.030769

0

1

0.071429

false

0

0.142857

0

null

0

null

0

1

0

be9c9dcbecf6ee782a06508d51f148623da5f942

3,766

py

Python

src/samplics/regression/glm.py

samplics-org/samplics

b5f49d075194cc24208f567e6a00e86aa24bec26

[ "MIT" ]

14

2021-05-03T19:59:58.000Z

2022-03-27T18:58:36.000Z

src/samplics/regression/glm.py

samplics-org/samplics

b5f49d075194cc24208f567e6a00e86aa24bec26

[ "MIT" ]

8

2021-06-17T01:13:01.000Z

2022-03-27T18:31:15.000Z

src/samplics/regression/glm.py

samplics-org/samplics

b5f49d075194cc24208f567e6a00e86aa24bec26

[ "MIT" ]

1

2022-03-28T06:58:55.000Z

from __future__ import annotations from typing import Any, Callable, Optional, Union import numpy as np # import pandas as pd import statsmodels.api as sm from samplics.estimation.expansion import TaylorEstimator from samplics.utils.formats import dict_to_dataframe, fpc_as_dict, numpy_array, remove_nans from sampli...

32.747826

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0.573022

522

3,766

3.963602

0.245211

0.047849

0.024166

0.0145

0.142098

0.071532

0.025133

0.018366

0

0.008853

0.310143

3,766

114

98

33.035088

0.787529

0.019118

0

0.111111

0

0.023319

0

0.022222

1

0.044444

false

0

0.077778

0

0.166667

0

null

0

null

0

1

0

be9e12d7ef9f5aeb6611304d96bd16eabcc64477

2,563

py

Python

tests/test_scopes.py

leg100/scopes

6a31908acf44b9f65f25668230197ed13229a80d

[ "MIT" ]

null

tests/test_scopes.py

leg100/scopes

6a31908acf44b9f65f25668230197ed13229a80d

[ "MIT" ]

1

2021-11-15T17:47:40.000Z

tests/test_scopes.py

leg100/scopes

6a31908acf44b9f65f25668230197ed13229a80d

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- """Tests for `scopes` package.""" import os print(os.getenv('PYTHONPATH')) import pytest from click.testing import CliRunner from scopes.tasks import tasks, bolt, spout, builder from scopes.graph import G, build, topological_sort, traverse from scopes import cli @py...

22.286957

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2,563

3.982405

0.357771

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0.017673

0.030928

0.07511

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0.022763

0.262973

2,563

114

79

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0

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0

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false

0

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0.016393

0

null

0

null

0

1

0

be9e3afec2b413ef97912bf7c25f3305c1a3ab7c

1,055

py

Python

timeparse/LunarSolarConverter/__init__.py

tornadoyi/timeparse

1e44dbc6acdb07d6c023806d55034642c7ec0de9

[ "Apache-2.0" ]

null

timeparse/LunarSolarConverter/__init__.py

tornadoyi/timeparse

1e44dbc6acdb07d6c023806d55034642c7ec0de9

[ "Apache-2.0" ]

null

timeparse/LunarSolarConverter/__init__.py

tornadoyi/timeparse

1e44dbc6acdb07d6c023806d55034642c7ec0de9

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- __author__ = 'isee15' import LunarSolarConverter converter = LunarSolarConverter.LunarSolarConverter() def LunarToSolar(year, month, day, isleap = False): lunar = LunarSolarConverter.Lunar(year, month, day, isleap) solar = converter.LunarToSolar(lunar) return (solar.solarYear, sol...

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0

null

0

1

0

be9f7ef00ae244d09a69281d387b6fc00e3b787b

4,345

py

Python

examples/hello-pt/custom/cifar10validator.py

ArnovanHilten/NVFlare

bb45e7d606849c6bc8f7542347459c6ba1be00c4

[ "Apache-2.0" ]

155

2021-08-05T18:05:09.000Z

2022-03-27T15:32:56.000Z

examples/hello-pt/custom/cifar10validator.py

ArnovanHilten/NVFlare

bb45e7d606849c6bc8f7542347459c6ba1be00c4

[ "Apache-2.0" ]

216

2021-12-01T06:07:12.000Z

2022-03-30T23:34:02.000Z

examples/hello-pt/custom/cifar10validator.py

ArnovanHilten/NVFlare

bb45e7d606849c6bc8f7542347459c6ba1be00c4

[ "Apache-2.0" ]

44

2021-11-24T16:03:29.000Z

2022-03-24T23:28:39.000Z

# Copyright (c) 2021, NVIDIA CORPORATION. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to...

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0

null

0

null

0

1

0

be9f9cd98cdf38a09e9b5c7bf41b9142f3bd6c42

4,220

py

Python

lambda/enable-traffic-mirroring.py

wrharding/aws-infra

5e913f8342b3a3b3a4599648c4a914f828b5bc18

[ "MIT" ]

1

2022-01-14T18:03:29.000Z

lambda/enable-traffic-mirroring.py

wrharding/aws-infra

5e913f8342b3a3b3a4599648c4a914f828b5bc18

[ "MIT" ]

null

lambda/enable-traffic-mirroring.py

wrharding/aws-infra

5e913f8342b3a3b3a4599648c4a914f828b5bc18

[ "MIT" ]

null

# MIT License # Copyright (c) 2020-2021 Chris Farris (https://www.chrisfarris.com) # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the righ...

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0.020604

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0

0.008831

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39.439252

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0

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0

0.118644

0

null

0

null

0

1

0

be9fea8e8fc13061760196f0e3818adcd5989d77

9,088

py

Python

src/value_function.py

wu6u3/async_trpo

b6e3dd56775464b58f7433773e8b04d88cf3fdbc

[ "MIT" ]

6

2018-02-02T19:53:08.000Z

2021-12-06T19:48:19.000Z

src/value_function.py

wu6u3/async_trpo

b6e3dd56775464b58f7433773e8b04d88cf3fdbc

[ "MIT" ]

null

src/value_function.py

wu6u3/async_trpo

b6e3dd56775464b58f7433773e8b04d88cf3fdbc

[ "MIT" ]

2

2018-07-26T06:22:04.000Z

2019-03-06T10:05:18.000Z

""" State-Value Function Written by Patrick Coady (pat-coady.github.io) Modified by Tin-Yin Lai (wu6u3) into asynchronous version """ import tensorflow as tf import numpy as np from sklearn.utils import shuffle #import os class NNValueFunction(object): """ NN-based state-value function """ def __init__(self...

42.666667

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9,088

4.061425

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0.038717

0.023997

0.580964

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0.497076

0.490421

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0.016859

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9,088

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122

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0.007937

0

null

0

null

0

1

0

bea186d9537f0999c2f3875648b97a7c001cd71a

10,439

py

Python

gbe/views/make_bid_view.py

bethlakshmi/gbe-divio-djangocms-python2.7

6e9b2c894162524bbbaaf73dcbe927988707231d

[ "Apache-2.0" ]

1

2021-03-14T11:56:47.000Z

gbe/views/make_bid_view.py

bethlakshmi/gbe-divio-djangocms-python2.7

6e9b2c894162524bbbaaf73dcbe927988707231d

[ "Apache-2.0" ]

180

2019-09-15T19:52:46.000Z

2021-11-06T23:48:01.000Z

gbe/views/make_bid_view.py

bethlakshmi/gbe-divio-djangocms-python2.7

6e9b2c894162524bbbaaf73dcbe927988707231d

[ "Apache-2.0" ]

null

from django.views.generic import View from django.utils.decorators import method_decorator from django.contrib.auth.decorators import login_required from django.views.decorators.cache import never_cache from django.contrib import messages from django.http import HttpResponseRedirect from django.urls import reverse from...

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0

null

0

null

0

1

0

bea1d1375a8d223083e55cf97bff2f2ce8f4f7ba

6,977

py

Python

epicteller/core/dao/character.py

KawashiroNitori/epicteller

264b11e7e6eb58beb0f67ecbbb811d268a533f7a

[ "MIT" ]

null

epicteller/core/dao/character.py

KawashiroNitori/epicteller

264b11e7e6eb58beb0f67ecbbb811d268a533f7a

[ "MIT" ]

null

epicteller/core/dao/character.py

KawashiroNitori/epicteller

264b11e7e6eb58beb0f67ecbbb811d268a533f7a

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- import time from collections import defaultdict from typing import List, Optional, Iterable, Dict import base62 from sqlalchemy import select, and_ from sqlalchemy.dialects.mysql import insert as mysql_insert from epicteller.core.model.character import Character from epi...

36.528796

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0.642826

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0.014863

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0

0.184049

0

null

0

null

0

1

0

bea22b520ab74130906570943260ba5b3628befe

4,313

py

Python

examples/sentence_classfication/task_sentiment_classification_roformer_v2.py

Tongjilibo/bert4torch

71d5ffb3698730b16e5a252b06644a136787711e

[ "MIT" ]

49

2022-03-15T07:28:16.000Z

2022-03-31T07:16:15.000Z

examples/sentence_classfication/task_sentiment_classification_roformer_v2.py

Tongjilibo/bert4torch

71d5ffb3698730b16e5a252b06644a136787711e

[ "MIT" ]

null

examples/sentence_classfication/task_sentiment_classification_roformer_v2.py

Tongjilibo/bert4torch

71d5ffb3698730b16e5a252b06644a136787711e

[ "MIT" ]

null

#! -*- coding:utf-8 -*- # 情感分类例子，RoPE相对位置编码 # 官方项目：https://github.com/ZhuiyiTechnology/roformer-v2 # pytorch参考项目：https://github.com/JunnYu/RoFormer_pytorch from bert4torch.tokenizers import Tokenizer from bert4torch.models import build_transformer_model, BaseModel from bert4torch.snippets import sequence_padding, Call...

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0.206801

0.179736

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0.012987

0

null

0

null

0

1

0

bea43752768259680c29953a0cec72ec71c5a8eb

1,329

py

Python

code_week12_713_719/is_graph_bipartite_hard.py

dylanlee101/leetcode

b059afdadb83d504e62afd1227107de0b59557af

[ "Apache-2.0" ]

null

code_week12_713_719/is_graph_bipartite_hard.py

dylanlee101/leetcode

b059afdadb83d504e62afd1227107de0b59557af

[ "Apache-2.0" ]

null

code_week12_713_719/is_graph_bipartite_hard.py

dylanlee101/leetcode

b059afdadb83d504e62afd1227107de0b59557af

[ "Apache-2.0" ]

null

''' 给定一个无向图graph，当这个图为二分图时返回true。如果我们能将一个图的节点集合分割成两个独立的子集A和B，并使图中的每一条边的两个节点一个来自A集合，一个来自B集合，我们就将这个图称为二分图。 graph将会以邻接表方式给出，graph[i]表示图中与节点i相连的所有节点。每个节点都是一个在0到graph.length-1之间的整数。这图中没有自环和平行边： graph[i] 中不存在i，并且graph[i]中没有重复的值。示例 1: 输入: [[1,3], [0,2], [1,3], [0,2]] 输出: true 解释: 无向图如下: 0----1 | | | | 3----2 我们可以将...

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0.25

0

null

0

null

0

1

0

bea493d4dc7e2d4506520e5f797ce4cb0a9a2a6e

1,417

py

Python

data_preprocessing/decision_tree_regression.py

Frost199/Machine_Learning

8cf77c6cbbae7781ac6f2ffcc9218ad79472d287

[ "MIT" ]

null

data_preprocessing/decision_tree_regression.py

Frost199/Machine_Learning

8cf77c6cbbae7781ac6f2ffcc9218ad79472d287

[ "MIT" ]

null

data_preprocessing/decision_tree_regression.py

Frost199/Machine_Learning

8cf77c6cbbae7781ac6f2ffcc9218ad79472d287

[ "MIT" ]

1

2020-05-23T16:46:52.000Z

# -*- coding: utf-8 -*- """ Created on Tue Apr 17 06:44:47 2018 @author: Eleam Emmanuel """ import pandas as pd import numpy as np import matplotlib.pyplot as plt from sklearn.tree import DecisionTreeRegressor # importing the dataset dataset = pd.read_csv('Position_Salaries.csv') # take all the columns but leave the...

30.804348

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0.013752

0.021611

0.08055

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0.222222

0

null

0

null

0

1

0

bea4e663116d7a61eb7a7e77d69904ecfbbff62c

1,786

py

Python

user_messages/apps.py

everaccountable/django-user-messages

101d539b785bdb440bf166fb16ad25eb66e4174a

[ "MIT" ]

null

user_messages/apps.py

everaccountable/django-user-messages

101d539b785bdb440bf166fb16ad25eb66e4174a

[ "MIT" ]

null

user_messages/apps.py

everaccountable/django-user-messages

101d539b785bdb440bf166fb16ad25eb66e4174a

[ "MIT" ]

null

from django.apps import AppConfig from django.conf import settings from django.core import checks from django.template import engines from django.template.backends.django import DjangoTemplates from django.utils.text import capfirst from django.utils.translation import gettext_lazy as _ @checks.register() def check_c...

33.698113

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1,786

5.758974

0.394872

0.062333

0.081923

0.058771

0.227961

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0.138914

0.0748

0

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1,786

52

80

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0

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1

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false

0

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0

0.295455

0

null

0

null

0

1

0

bea66694bcf52b9fffd500768ba31f40d22d16ce

4,908

py

Python

server-python3/server.py

Aaron-Ming/websocket_terminal

42c24391d51c275eabf1f879fb312b9a3614f51e

[ "MIT" ]

40

2016-11-20T09:48:27.000Z

2021-04-02T00:29:14.000Z

server-python3/server.py

Aaron-Ming/websocket_terminal

42c24391d51c275eabf1f879fb312b9a3614f51e

[ "MIT" ]

6

2018-01-07T03:43:22.000Z

2022-03-21T08:43:33.000Z

server-python3/server.py

glensc/websocket_terminal

42c24391d51c275eabf1f879fb312b9a3614f51e

[ "MIT" ]

20

2016-12-02T06:00:27.000Z

2021-08-15T11:40:34.000Z

import os import urllib.parse import eventlet import eventlet.green.socket # eventlet.monkey_patch() import eventlet.websocket import eventlet.wsgi import wspty.pipe from flask import Flask, request, redirect from wspty.EchoTerminal import EchoTerminal from wspty.EncodedTerminal import EncodedTerminal from wspty.Webso...

31.261146

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5.231293

0.284014

0.032185

0.021456

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0.03251

0

0.00267

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false

0.02459

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0.393443

0.016393

0

null

0

null

0

1

0

bea71c525e82317994bbd637b8bebff771fe81eb

3,406

py

Python

tests/unit/test_roger_promote.py

seomoz/roger-mesos-tools

88b4cb3550a4b49d0187cfb5e6a22246ff6b9765

[ "Apache-2.0" ]

null

tests/unit/test_roger_promote.py

seomoz/roger-mesos-tools

88b4cb3550a4b49d0187cfb5e6a22246ff6b9765

[ "Apache-2.0" ]

47

2016-05-26T22:09:56.000Z

2018-08-08T20:33:39.000Z

tests/unit/test_roger_promote.py

seomoz/roger-mesos-tools

88b4cb3550a4b49d0187cfb5e6a22246ff6b9765

[ "Apache-2.0" ]

3

2017-09-20T22:39:03.000Z

2017-11-07T22:29:29.000Z

# -*- encoding: utf-8 -*- """ Unit test for roger_promote.py """ import tests.helper import unittest import os import os.path import pytest import requests from mockito import mock, Mock, when from cli.roger_promote import RogerPromote from cli.appconfig import AppConfig from cli.settings import Settings from cl...

28.383333

76

0.645919

401

3,406

5.239402

0.197007

0.04712

0.039981

0.034269

0.152308

0.088529

0.034269

0

0.00039

0.24633

3,406

119

77

28.621849

0.818076

0.016148

0

0.046512

0

0.13465

0.037403

0

0.069767

1

0.093023

false

0.046512

0.162791

0.011628

0.27907

0

null

0

null

0

1

0

bea77828d8025fc0087d40bc8239898137482a39

7,097

py

Python

data/collectors.py

papb/COVID-19

2dc8e683f55c494ca894727aca56f90e53b161f3

[ "MIT" ]

6

2020-03-24T22:03:34.000Z

2020-03-25T21:08:02.000Z

data/collectors.py

papb/COVID-19

2dc8e683f55c494ca894727aca56f90e53b161f3

[ "MIT" ]

null

data/collectors.py

papb/COVID-19

2dc8e683f55c494ca894727aca56f90e53b161f3

[ "MIT" ]

1

2020-03-27T20:25:03.000Z

import json import pandas as pd import requests def load_dump_covid_19_data(): COVID_19_BY_CITY_URL='https://raw.githubusercontent.com/wcota/covid19br/master/cases-brazil-cities-time.csv' by_city=(pd.read_csv(COVID_19_BY_CITY_URL) .query('country == "Brazil"') .drop(columns=['c...

32.856481

121

0.479217

710

7,097

4.546479

0.269014

0.070632

0.018587

0.012392

0.288724

0.262701

0.247831

0.223668

0.197026

0

0.011582

0.391715

7,097

215

122

33.009302

0.736159

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0

0.240437

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0.069162

0

0.004651

0

1

0.04918

false

0.005464

0.016393

0

0.098361

0.04918

0

null

0

null

0

1

0

beaa8784fc43c71bc8bb5120744ac9a157c4e2a7

2,387

py

Python

PathPlanning/run.py

CandleStein/VAlg

43aecdd351954d316f132793cf069b70bf2e5cc2

[ "MIT" ]

null

PathPlanning/run.py

CandleStein/VAlg

43aecdd351954d316f132793cf069b70bf2e5cc2

[ "MIT" ]

null

PathPlanning/run.py

CandleStein/VAlg

43aecdd351954d316f132793cf069b70bf2e5cc2

[ "MIT" ]

1

2020-09-25T18:31:34.000Z

from planning_framework import path import cv2 as cv import numpy as np import argparse import matplotlib.pyplot as plt parser = argparse.ArgumentParser(description="Path Planning Visualisation") parser.add_argument( "-n", "--n_heuristic", default=2, help="Heuristic for A* Algorithm (default = 2). 0 f...

26.820225

86

0.607038

368

2,387

3.88587

0.304348

0.008392

0.011189

0.202797

0.177622

0.158042

0

0.055586

0.238793

2,387

88

87

27.125

0.731425

0.049016

0

0.239437

0

0.126711

0

0.005298

0

1

0.014085

false

0

0.070423

0

0.084507

0

null

0

null

0

1

0

beaf6a34e9709a7f3a490a80d9b84b4126151d38

186

py

Python

Codeforces/problems/0136/A/136A.py

object-oriented-human/competitive

9e761020e887d8980a39a64eeaeaa39af0ecd777

[ "MIT" ]

2

2021-07-27T10:46:47.000Z

2021-07-27T10:47:57.000Z

Codeforces/problems/0136/A/136A.py

foooop/competitive

9e761020e887d8980a39a64eeaeaa39af0ecd777

[ "MIT" ]

null

Codeforces/problems/0136/A/136A.py

foooop/competitive

9e761020e887d8980a39a64eeaeaa39af0ecd777

[ "MIT" ]

null

n = int(input()) line = list(map(int, input().split())) l = {} res = "" for i, j in enumerate(line): l[j] = i+1 for k in range(n): res += str(l[k+1]) + " " print(res.rstrip())

15.5

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186

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15.5

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1

0

false

0

0.111111

0

null

0

null

0

1

0

beb013240bc0b9610971205973878d44dedde94f

323

py

Python

generatey.py

YiLisa/DSCI560-hw2

9cf4a40a6e4755ea1b0b68248e553fb4b6b7fdf4

[ "Apache-2.0" ]

null

generatey.py

YiLisa/DSCI560-hw2

9cf4a40a6e4755ea1b0b68248e553fb4b6b7fdf4

[ "Apache-2.0" ]

null

generatey.py

YiLisa/DSCI560-hw2

9cf4a40a6e4755ea1b0b68248e553fb4b6b7fdf4

[ "Apache-2.0" ]

null

import pandas as pd def main(): input = pd.read_csv('random_x.csv', header=None) x=input[0].tolist() y = [] for n in x: y.append(3*int(n)+6) df = pd.DataFrame(y) df.to_csv('output_y.csv', index=False, header=False) if __name__ == '__main__': main() print('generating y = 3x+6.....

21.533333

56

0.582043

53

323

3.320755

0.641509

0

0.020243

0.235294

323

15

57

21.533333

0.692308

0

0.166667

0

1

0.083333

false

0

0.083333

0

0.166667

0.083333

0

null

0

null

0

1

0

beb0a9e7bb5a51ebb9a999b6f45ac4bb5d9df106

1,002

py

Python

setup.py

burn874/mtg

cef47f6ec0ca110bdcb885ec09d6f5aca517c3b2

[ "Apache-2.0" ]

null

setup.py

burn874/mtg

cef47f6ec0ca110bdcb885ec09d6f5aca517c3b2

[ "Apache-2.0" ]

null

setup.py

burn874/mtg

cef47f6ec0ca110bdcb885ec09d6f5aca517c3b2

[ "Apache-2.0" ]

null

import re from pkg_resources import parse_requirements import pathlib from setuptools import find_packages, setup README_FILE = 'README.md' REQUIREMENTS_FILE = 'requirements.txt' VERSION_FILE = 'mtg/_version.py' VERSION_REGEXP = r'^__version__ = \'(\d+\.\d+\.\d+)\'' r = re.search(VERSION_REGEXP, open(VERSION_FILE).r...

31.3125

94

0.739521

139

1,002

5.122302

0.539568

0.08427

0.053371

0.08427

0

0.002302

0.132735

1,002

31

95

32.322581

0.817031

0

0.260479

0

1

0

false

0

0.153846

0

0.153846

0

null

0

null

0

1

0

beb1a4b08f2fc3818a575158bc7a69b7e5f252c7

1,399

py

Python

avilla/core/resource/interface.py

RF-Tar-Railt/Avilla

0b6eff0e253d4c04a5c82f4f252b6a11b7d81e04

[ "MIT" ]

null

avilla/core/resource/interface.py

RF-Tar-Railt/Avilla

0b6eff0e253d4c04a5c82f4f252b6a11b7d81e04

[ "MIT" ]

1

2021-12-19T07:43:30.000Z

avilla/core/resource/interface.py

RF-Tar-Railt/Avilla

0b6eff0e253d4c04a5c82f4f252b6a11b7d81e04

[ "MIT" ]

null

from __future__ import annotations from dataclasses import dataclass from avilla.core.platform import Base from avilla.core.resource import Resource, ResourceProvider @dataclass class ResourceMatchPrefix: resource_type: type[Resource] keypath: str | None = None platform: Base | None = None class Resou...

29.765957

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0.647605

143

1,399

6.202797

0.272727

0.10823

0.047351

0.060879

0.184893

0.146561

0.10372

0

0.277341

1,399

46

98

30.413043

0.877349

0

0.216216

0

1

0.081081

false

0

0.108108

0

0.378378

0

null

0

null

0

1

0

beb317bf51c8d955452bb7ade64a00caeb647030

8,722

py

Python

autotest/test_gwf_buy_lak01.py

scharlton2/modflow6

83ac72ee3b6f580aaffef6352cf15c1697d3ce66

[ "CC0-1.0" ]

3

2019-07-10T21:16:57.000Z

2021-10-08T00:56:20.000Z

autotest/test_gwf_buy_lak01.py

scharlton2/modflow6

83ac72ee3b6f580aaffef6352cf15c1697d3ce66

[ "CC0-1.0" ]

null

autotest/test_gwf_buy_lak01.py

scharlton2/modflow6

83ac72ee3b6f580aaffef6352cf15c1697d3ce66

[ "CC0-1.0" ]

3

2019-11-28T16:26:50.000Z

2020-02-05T11:08:37.000Z

# Test the buoyancy package and the variable density flows between the lake # and the gwf model. This model has 4 layers and a lake incised within it. # The model is transient and has heads in the aquifer higher than the initial # stage in the lake. As the model runs, the lake and aquifer equalize and # should end up...

29.073333

90

0.576015

1,192

8,722

4.143456

0.300336

0.006884

0.037862

0.040089

0.189917

0.178781

0.142134

0.03523

0.021462

0

0.057552

0.278835

8,722

299

91

29.170569

0.727663

0.184132

0

0.073733

0

0.101019

0

0.003344

0.013825

1

0.018433

false

0

0.032258

0

0.0553

0.046083

0

null

0

null

0

1

0

beb37d345ad255de414b430caeba23a0fa10d2d1

441

py

Python

lesson-08/roll_dice_v1.0.py

hemiaoio/pylearning

4b3885ed7177db4e6e03da80dd9ed69719c8d866

[ "MIT" ]

1

2018-11-11T03:44:02.000Z

lesson-08/roll_dice_v1.0.py

hemiaoio/learn-python

4b3885ed7177db4e6e03da80dd9ed69719c8d866

[ "MIT" ]

null

lesson-08/roll_dice_v1.0.py

hemiaoio/learn-python

4b3885ed7177db4e6e03da80dd9ed69719c8d866

[ "MIT" ]

null

""" 功能：模拟掷骰子版本：1.0 """ import random def roll_dice(): roll = random.randint(1, 6) return roll def main(): total_times = 100000 result_list = [0] * 6 for i in range(total_times): roll = roll_dice() result_list[roll-1] += 1 for i, x in enumerate(result_list): ...

15.206897

63

0.569161

65

441

3.6

0.492308

0.17094

0

0.046875

0.274376

441

28

64

15.75

0.684375

0.034014

0

0.058537

0

1

0.133333

false

0

0.066667

0

0.266667

0.133333

0

null

0

null

0

1

0

beb557aa11e275e2f9691dee969a012dab3f26db

759

py

Python

composer/dataflow-python3/main.py

gxercavins/gcp-snippets

a90e4e9c922370face876aa7c56db610896e1a6f

[ "Apache-2.0" ]

2

2022-02-07T07:53:35.000Z

2022-02-23T18:46:03.000Z

composer/dataflow-python3/main.py

gxercavins/gcp-snippets

a90e4e9c922370face876aa7c56db610896e1a6f

[ "Apache-2.0" ]

1

2019-10-26T19:03:34.000Z

2019-10-26T19:03:48.000Z

composer/dataflow-python3/main.py

gxercavins/gcp-snippets

a90e4e9c922370face876aa7c56db610896e1a6f

[ "Apache-2.0" ]

6

2020-03-19T23:58:46.000Z

2022-02-07T07:53:37.000Z

import argparse import logging import apache_beam as beam from apache_beam.options.pipeline_options import PipelineOptions from apache_beam.options.pipeline_options import SetupOptions def run(argv=None, save_main_session=True): """Dummy pipeline to test Python3 operator.""" parser = argparse.ArgumentParser() ...

27.107143

78

0.777339

101

759

5.544554

0.475248

0.160714

0.117857

0.075

0.15

0

0.006033

0.126482

759

27

79

28.111111

0.838612

0.079051

0

0.030303

0

1

0.058824

false

0

0.294118

0

0.352941

0

null

0

null

0

1

0

beb69b31ba90004b6f8731fea0065e0f64e36216

1,412

py

Python

backend/garpix_page/setup.py

griviala/garpix_page

55f1d9bc6d1de29d18e15369bebcbef18811b5a4

[ "MIT" ]

null

backend/garpix_page/setup.py

griviala/garpix_page

55f1d9bc6d1de29d18e15369bebcbef18811b5a4

[ "MIT" ]

null

backend/garpix_page/setup.py

griviala/garpix_page

55f1d9bc6d1de29d18e15369bebcbef18811b5a4

[ "MIT" ]

null

from setuptools import setup, find_packages from os import path here = path.join(path.abspath(path.dirname(__file__)), 'garpix_page') with open(path.join(here, 'README.rst'), encoding='utf-8') as f: long_description = f.read() setup( name='garpix_page', version='2.23.0', description='', long_desc...

32.090909

69

0.607649

163

1,412

5.153374

0.564417

0.047619

0.119048

0.092857

0

0.035023

0.231586

1,412

43

70

32.837209

0.739171

0

0.05

0

0.478754

0.043909

0

1

0

false

0

0.05

0

0.05

0

null

0

null

0

1

0

beb76b3debe06f273a8ef3ec32c53943cd031a3b

20,225

py

Python

.kodi/addons/plugin.video.p2p-streams/resources/core/livestreams.py

C6SUMMER/allinclusive-kodi-pi

8baf247c79526849c640c6e56ca57a708a65bd11

[ "Apache-2.0" ]

null

.kodi/addons/plugin.video.p2p-streams/resources/core/livestreams.py

C6SUMMER/allinclusive-kodi-pi

8baf247c79526849c640c6e56ca57a708a65bd11

[ "Apache-2.0" ]

null

.kodi/addons/plugin.video.p2p-streams/resources/core/livestreams.py

C6SUMMER/allinclusive-kodi-pi

8baf247c79526849c640c6e56ca57a708a65bd11

[ "Apache-2.0" ]

2

2018-04-17T17:34:39.000Z

2020-07-26T03:43:33.000Z

# -*- coding: utf-8 -*- """ p2p-streams (c) 2014 enen92 fightnight This file contains the livestream addon engine. It is mostly based on divingmule work on livestreams addon! Functions: xml_lists_menu() -> main menu for the xml list category addlista() -> add a new list. It'll ask for local or rem...

38.745211

303

0.514907

2,180

20,225

4.715138

0.155963

0.021792

0.021403

0.023154

0.506956

0.443623

0.419691

0.393715

0.330966

0.305283

0

0.021257

0.348727

20,225

521

304

38.819578

0.75911

0.059135

0

0.524138

0

0.002299

0.110133

0.006525

0

1

0.032184

false

0.032184

0.018391

0.002299

0.052874

0.006897

0

null

0

null

0

1

0

beb987a1f2b8198bf13096fe552301ac5d99117d

889

py

Python

api-reference-examples/python/te-tag-query/api-example-update.py

b-bold/ThreatExchange

6f8d0dc803faccf576c9398569bb52d54a4f9a87

[ "BSD-3-Clause" ]

997

2015-03-13T18:04:03.000Z

2022-03-30T12:09:10.000Z

api-reference-examples/python/te-tag-query/api-example-update.py

b-bold/ThreatExchange

6f8d0dc803faccf576c9398569bb52d54a4f9a87

[ "BSD-3-Clause" ]

444

2015-03-26T17:28:49.000Z

2022-03-28T19:34:05.000Z

api-reference-examples/python/te-tag-query/api-example-update.py

b-bold/ThreatExchange

6f8d0dc803faccf576c9398569bb52d54a4f9a87

[ "BSD-3-Clause" ]

294

2015-03-13T22:19:43.000Z

2022-03-30T08:42:45.000Z

#!/usr/bin/env python # ================================================================ # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved # ================================================================ import sys import json import TE TE.Net.setAppTokenFromEnvName("TX_ACCESS_TOKEN") postPar...

26.147059

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0.620922

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889

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0.065693

0

0.023286

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889

33

87

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0.68564

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0

0.095238

0

0.122222

0

1

0

false

0

0.142857

0

0.142857

0.047619

0

null

0

null

0

1

0

beb9a541895990f03cef5c41fda543323a1a2725

12,362

py

Python

loaner/web_app/backend/api/shelf_api_test.py

Bottom-Feeders/GrabNGO

5a467362e423700a5a7276a7fa9a47040033cfcf

[ "Apache-2.0" ]

null

loaner/web_app/backend/api/shelf_api_test.py

Bottom-Feeders/GrabNGO

5a467362e423700a5a7276a7fa9a47040033cfcf

[ "Apache-2.0" ]

null

loaner/web_app/backend/api/shelf_api_test.py

Bottom-Feeders/GrabNGO

5a467362e423700a5a7276a7fa9a47040033cfcf

[ "Apache-2.0" ]

null

# Copyright 2018 Google Inc. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or a...

41.905085

86

0.729494

1,535

12,362

5.612378

0.183062

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0.051074

0.037145

0.543587

0.50888

0.437028

0.36123

0.312362

0.279745

0

0.013983

0.166963

12,362

294

87

42.047619

0.822587

0.079113

0

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0

0.065626

0.033166

0

0.14876

1

0.070248

false

0

0.061983

0

0.136364

0.004132

0

null

0

null

0

1

0

bebb042aa5530a31d011f0dddb5b720502bac701

11,710

py

Python

ahrs/filters/complementary.py

jaluebbe/ahrs

4b4a33b1006e0d455a71ac8379a2697202361758

[ "MIT" ]

null

ahrs/filters/complementary.py

jaluebbe/ahrs

4b4a33b1006e0d455a71ac8379a2697202361758

[ "MIT" ]

null

ahrs/filters/complementary.py

jaluebbe/ahrs

4b4a33b1006e0d455a71ac8379a2697202361758

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Complementary Filter ==================== Attitude quaternion obtained with gyroscope and accelerometer-magnetometer measurements, via complementary filter. First, the current orientation is estimated at time :math:`t`, from a previous orientation at time :math:`t-1`, and a given ...

41.232394

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0.566695

1,644

11,710

3.965328

0.145377

0.034515

0.038349

0.042184

0.433809

0.353122

0.283019

0.23025

0.218592

0.192668

0

0.016172

0.255423

11,710

283

220

41.378092

0.731506

0.662254

0

0.035088

0

0.052731

0

1

0.087719

false

0.035088

0

0.22807

0

null

0

null

0

1

0

bebb7eff935771339795abf6b86ab3ed10b32cc3

3,550

py

Python

tests/common/models/test_execution.py

angry-tony/ceph-lcm-decapod

535944d3ee384c3a7c4af82f74041b0a7792433f

[ "Apache-2.0" ]

41

2016-11-03T16:40:17.000Z

2019-05-23T08:39:17.000Z

tests/common/models/test_execution.py

Mirantis/ceph-lcm

fad9bad0b94f2ef608362953583b10a54a841d24

[ "Apache-2.0" ]

30

2016-10-14T10:54:46.000Z

2017-10-20T15:58:01.000Z

tests/common/models/test_execution.py

angry-tony/ceph-lcm-decapod

535944d3ee384c3a7c4af82f74041b0a7792433f

[ "Apache-2.0" ]

28

2016-09-17T01:17:36.000Z

2019-07-05T03:32:54.000Z

# -*- coding: utf-8 -*- # Copyright (c) 2016 Mirantis Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable ...

33.809524

77

0.719155

452

3,550

5.338496

0.29646

0.174057

0.096975

0.047244

0.343556

0.299627

0.298798

0.260671

0.056361

0

0.005498

0.180282

3,550

104

78

34.134615

0.823711

0.174366

0

0.164179

0

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0

0.268657

1

0.089552

false

0

0.029851

0

0.119403

0

null

0

null

0

1

0

bebf0f2b55c9070eb2aa8dd30568a2e408a3e498

842

py

Python

Problems/Study Plans/Dynamic Programming/Dynamic Programming I/07_delete_and_earn.py

andor2718/LeetCode

59874f49085818e6da751f1cc26867b31079d35d

[ "BSD-3-Clause" ]

1

2022-01-17T19:51:15.000Z

Problems/Study Plans/Dynamic Programming/Dynamic Programming I/07_delete_and_earn.py

andor2718/LeetCode

59874f49085818e6da751f1cc26867b31079d35d

[ "BSD-3-Clause" ]

null

Problems/Study Plans/Dynamic Programming/Dynamic Programming I/07_delete_and_earn.py

andor2718/LeetCode

59874f49085818e6da751f1cc26867b31079d35d

[ "BSD-3-Clause" ]

null

# https://leetcode.com/problems/delete-and-earn/ class Solution: def deleteAndEarn(self, nums: list[int]) -> int: num_profits = dict() for num in nums: num_profits[num] = num_profits.get(num, 0) + num sorted_nums = sorted(num_profits.keys()) second_last_profit = 0 ...

42.1

76

0.609264

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842

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0

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842

19

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false

0

0.176471

0

null

0

null

0

1

0

bec160209ec5f54fda5f5e3628b149076a57302b

7,019

py

Python

pytorch_keras_converter/API.py

sonibla/pytorch_keras_converter

21925b67b6eb3cbbfa8eb6d33f682d57dafd357d

[ "MIT" ]

17

2019-10-01T14:14:18.000Z

2021-04-25T13:32:24.000Z

pytorch_keras_converter/API.py

sonibla/pytorch_keras_converter

21925b67b6eb3cbbfa8eb6d33f682d57dafd357d

[ "MIT" ]

null

pytorch_keras_converter/API.py

sonibla/pytorch_keras_converter

21925b67b6eb3cbbfa8eb6d33f682d57dafd357d

[ "MIT" ]

2

2019-10-01T14:02:43.000Z

2019-10-01T14:14:19.000Z

""" Simple API to convert models between PyTorch and Keras (Conversions from Keras to PyTorch aren't implemented) """ from . import utility from . import tests from . import io_utils as utils import tensorflow def convert(model, input_shape, weights=True, quiet=True, i...

33.42381

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false

0

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0.096386

0

null

0

null

0

1

0

bec1a22fa74c5c4f594a0551d336d70522ed93f7

1,734

py

Python

examples/enable_notifications.py

kjwill/bleak

7e0fdae6c0f6a78713e5984c2840666e0c38c3f3

[ "MIT" ]

null

examples/enable_notifications.py

kjwill/bleak

7e0fdae6c0f6a78713e5984c2840666e0c38c3f3

[ "MIT" ]

null

examples/enable_notifications.py

kjwill/bleak

7e0fdae6c0f6a78713e5984c2840666e0c38c3f3

[ "MIT" ]

1

2021-09-15T18:53:58.000Z

# -*- coding: utf-8 -*- """ Notifications ------------- Example showing how to add notifications to a characteristic and handle the responses. Updated on 2019-07-03 by hbldh <henrik.blidh@gmail.com> """ import sys import logging import asyncio import platform from bleak import BleakClient from bleak import _logger...

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bec37dd307106b82f4f0bcaf14227eb2f2a4ba93

1,974

py

Python

dialogflow/history2xls.py

ray-hrst/temi-tools

8efb1e1af93a41bd98fe0ee8c1fd6fb44e788341

[ "MIT" ]

1

2020-06-04T19:30:57.000Z

dialogflow/history2xls.py

ray-hrst/temi-tools

8efb1e1af93a41bd98fe0ee8c1fd6fb44e788341

[ "MIT" ]

1

2020-01-14T04:16:12.000Z

dialogflow/history2xls.py

ray-hrst/temi-tools

8efb1e1af93a41bd98fe0ee8c1fd6fb44e788341

[ "MIT" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Convert Dialogflow history to spreadsheet User must manually copy the history from the browser and save this in a text file. This reads the textfile, parses the data, and saves it to a spreadsheet. Example training sample: USER サワディカ Nov 4, 11:19 PM AGENT No matc...

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bec393e2a78f7bd8032716c650f164a7178aab68

25,176

py

Python

recognition/views.py

usathe71-u/Attendance-System-Face-Recognition

c73f660a6089e8ca9dd5c473efcf2bc78f13a207

[ "Apache-2.0" ]

3

2021-05-31T21:11:38.000Z

2021-07-22T18:29:47.000Z

recognition/views.py

usathe71-u/Attendance-System-Face-Recognition

c73f660a6089e8ca9dd5c473efcf2bc78f13a207

[ "Apache-2.0" ]

null

recognition/views.py

usathe71-u/Attendance-System-Face-Recognition

c73f660a6089e8ca9dd5c473efcf2bc78f13a207

[ "Apache-2.0" ]

null

from django.shortcuts import render,redirect from .forms import usernameForm,DateForm,UsernameAndDateForm, DateForm_2 from django.contrib import messages from django.contrib.auth.models import User import cv2 import dlib import imutils from imutils import face_utils from imutils.video import VideoStream from imutils.fa...

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null

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bec698afd2c5801e7a05fe6be1339638668af844

856

py

Python

2018/05.py

GillesArcas/Advent_of_Code

1f57eb1686875df2684b0d56916b1d20724e9fb9

[ "MIT" ]

null

2018/05.py

GillesArcas/Advent_of_Code

1f57eb1686875df2684b0d56916b1d20724e9fb9

[ "MIT" ]

null

2018/05.py

GillesArcas/Advent_of_Code

1f57eb1686875df2684b0d56916b1d20724e9fb9

[ "MIT" ]

null

import re import string DATA = '05.txt' def react(polymer): pairs = '|'.join([a + b + '|' + b + a for a, b in zip(string.ascii_lowercase, string.ascii_uppercase)]) length = len(polymer) while 1: polymer = re.sub(pairs, '', polymer) if len(polymer) == length: retu...

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null

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null

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bec79a34dea2c5eb7b1cdd952dbf003070a952c4

1,746

py

Python

WebServer.py

i3uex/CompareML

3d53d58117507db11ad08ca0b1c883ec0997840e

[ "MIT" ]

null

WebServer.py

i3uex/CompareML

3d53d58117507db11ad08ca0b1c883ec0997840e

[ "MIT" ]

null

WebServer.py

i3uex/CompareML

3d53d58117507db11ad08ca0b1c883ec0997840e

[ "MIT" ]

null

import json import cherrypy import engine class WebServer(object): @cherrypy.expose def index(self): return open('public/index.html', encoding='utf-8') @cherrypy.expose class GetOptionsService(object): @cherrypy.tools.accept(media='text/plain') def GET(self): return json.dumps({ ...

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null

0

null

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1

0

bec831a08a3c7355e5ebc6786562ec7da94bccbd

2,421

py

Python

cptk/core/fetcher.py

RealA10N/cptk

e500d948e91bb70661adc3c2539b149704c734a1

[ "Apache-2.0" ]

5

2021-12-25T01:49:45.000Z

2022-03-27T10:30:14.000Z

cptk/core/fetcher.py

RealA10N/cptk

e500d948e91bb70661adc3c2539b149704c734a1

[ "Apache-2.0" ]

39

2021-12-24T16:35:07.000Z

2022-03-18T23:15:14.000Z

cptk/core/fetcher.py

RealA10N/cptk

e500d948e91bb70661adc3c2539b149704c734a1

[ "Apache-2.0" ]

2

2022-01-12T19:13:20.000Z

2022-01-12T19:32:05.000Z

from __future__ import annotations from typing import TYPE_CHECKING import pkg_resources from bs4 import BeautifulSoup from requests import session from cptk.scrape import PageInfo from cptk.scrape import Website from cptk.utils import cptkException if TYPE_CHECKING: from cptk.scrape import Problem class Inva...

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null

0

null

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1

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bec8b40804691cfab7d99feee2707b808f11aaed

15,006

py

Python

machine_learning/deep_reinforcement_learning_grasping/drlgrasp/drlgrasp/pybullet_envs/kuka_reach_with_visual.py

Hinson-A/guyueclass

e59129526729542dccefa6c7232378a00dc0175a

[ "Apache-2.0" ]

227

2021-01-20T05:34:32.000Z

2022-03-29T12:43:05.000Z

machine_learning/deep_reinforcement_learning_grasping/drlgrasp/drlgrasp/pybullet_envs/kuka_reach_with_visual.py

passYYYY/guyueclass

2054ccec2f5e6c002727a5561b494a1046484504

[ "Apache-2.0" ]

1

2021-04-22T05:56:00.000Z

2021-05-26T06:00:17.000Z

machine_learning/deep_reinforcement_learning_grasping/drlgrasp/drlgrasp/pybullet_envs/kuka_reach_with_visual.py

passYYYY/guyueclass

2054ccec2f5e6c002727a5561b494a1046484504

[ "Apache-2.0" ]

239

2021-01-28T02:59:53.000Z

2022-03-29T08:02:17.000Z

import pybullet as p import pybullet_data import gym from gym import spaces from gym.utils import seeding import numpy as np from math import sqrt import random import time import math import cv2 import torch import os def random_crop(imgs, out): """ args: imgs: shape (B,C,H,W) ...

36.159036

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null

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null

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1

0

bec8c0835477d8b4651705098efe6f5b0368b832

6,581

py

Python

tests/ut/cpp/python_input/gtest_input/pre_activate/ir_fusion_test.py

GeekHee/mindspore

896b8e5165dd0a900ed5a39e0fb23525524bf8b0

[ "Apache-2.0" ]

null

tests/ut/cpp/python_input/gtest_input/pre_activate/ir_fusion_test.py

GeekHee/mindspore

896b8e5165dd0a900ed5a39e0fb23525524bf8b0

[ "Apache-2.0" ]

null

tests/ut/cpp/python_input/gtest_input/pre_activate/ir_fusion_test.py

GeekHee/mindspore

896b8e5165dd0a900ed5a39e0fb23525524bf8b0

[ "Apache-2.0" ]

null

# Copyright 2019 Huawei Technologies Co., Ltd # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to...

33.576531

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null

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null

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fe1f4c025bf53ebda91717d8cd83c5c619dbfc64

7,044

py

Python

app.py

PolinaRomanchenko/Victorious_Secret_DSCI_532

e83bc19169a1736618ac55f2ade40741583089fd

[ "MIT" ]

null

app.py

PolinaRomanchenko/Victorious_Secret_DSCI_532

e83bc19169a1736618ac55f2ade40741583089fd

[ "MIT" ]

null

app.py

PolinaRomanchenko/Victorious_Secret_DSCI_532

e83bc19169a1736618ac55f2ade40741583089fd

[ "MIT" ]

null

import dash import dash_core_components as dcc import dash_html_components as html import dash_bootstrap_components as dbc import pandas as pd import numpy as np import altair as alt import vega_datasets alt.data_transformers.enable('default') alt.data_transformers.disable_max_rows() app = dash.Dash(__name__, assets_f...

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null

0

null

0

1

0

fe2074c1f1219a5f9d1c7d8eeb8c9be145ffb2ea

5,982

py

Python

train.py

hjl-yul154/autodeeplab

1bd8399ac830fcafd506a4207b75e05682d1e260

[ "MIT" ]

1

2020-07-27T07:08:47.000Z

train.py

hjl-yul154/autodeeplab

1bd8399ac830fcafd506a4207b75e05682d1e260

[ "MIT" ]

null

train.py

hjl-yul154/autodeeplab

1bd8399ac830fcafd506a4207b75e05682d1e260

[ "MIT" ]

null

import os import pdb import warnings import numpy as np import torch import torch.nn as nn import torch.utils.data import torch.backends.cudnn import torch.optim as optim import dataloaders from utils.utils import AverageMeter from utils.loss import build_criterion from utils.metrics import Evaluator from utils.step_...

38.844156

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0

null

0

null

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1

0

fe21c2ef055f99448891893a1c18824fdde9d61e

1,883

py

Python

test.py

xxaxdxcxx/miscellaneous-code

cdb88783f39e1b9a89fdb12f7cddfe62619e4357

[ "MIT" ]

null

test.py

xxaxdxcxx/miscellaneous-code

cdb88783f39e1b9a89fdb12f7cddfe62619e4357

[ "MIT" ]

null

test.py

xxaxdxcxx/miscellaneous-code

cdb88783f39e1b9a89fdb12f7cddfe62619e4357

[ "MIT" ]

null

class Solution: # dictionary keys are tuples, storing results # structure of the tuple: # (level, prev_sum, val_to_include) # value is number of successful tuples def fourSumCount(self, A, B, C, D, prev_sum=0, level=0, sums={}): """ :type A: List[int] :type B: List[int] ...

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