xszheng2020/the_stack_dedup_python_hits_0 · Datasets at Hugging Face

cf07119cf6e3bdb2abce6a77371ad7da0041ab09

2,260

py

Python

muk_utils/tests/test_search_parents.py

juazisco/gestion_rifa

bce6b75f17cb5ab2df7e2f7dd5141fc85a1a5bfb

[ "MIT" ]

null

muk_utils/tests/test_search_parents.py

juazisco/gestion_rifa

bce6b75f17cb5ab2df7e2f7dd5141fc85a1a5bfb

[ "MIT" ]

null

muk_utils/tests/test_search_parents.py

juazisco/gestion_rifa

bce6b75f17cb5ab2df7e2f7dd5141fc85a1a5bfb

[ "MIT" ]

null

########################################################################## # # Copyright (C) 2017 MuK IT GmbH # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU Affero General Public License as # published by the Free Software Foundation, either ve...

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cf07d61453467fdaf7a52e8c01b18b42bfc7226e

4,514

py

Python

daal4py/df_regr.py

PivovarA/scikit-learn_bench

52e96f28eda3ca25d0f51594041fd06ee3f8d4c2

[ "MIT" ]

null

daal4py/df_regr.py

PivovarA/scikit-learn_bench

52e96f28eda3ca25d0f51594041fd06ee3f8d4c2

[ "MIT" ]

null

daal4py/df_regr.py

PivovarA/scikit-learn_bench

52e96f28eda3ca25d0f51594041fd06ee3f8d4c2

[ "MIT" ]

2

2020-08-07T16:19:32.000Z

2020-08-07T16:22:12.000Z

# Copyright (C) 2018-2020 Intel Corporation # # SPDX-License-Identifier: MIT import argparse from bench import ( parse_args, measure_function_time, load_data, print_output, rmse_score, float_or_int, getFPType ) from daal4py import ( decision_forest_regression_training, decision_forest_regression_predi...

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null

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0

cf0923f79d25f11e0f15404bd9b6b8cdac76eb86

8,658

py

Python

src/feature/eme_data_loader.py

0shimax/Pytorch-DRN

a5e70784d0097069e9e1cf958a446f819dbdb7f1

[ "MIT" ]

null

src/feature/eme_data_loader.py

0shimax/Pytorch-DRN

a5e70784d0097069e9e1cf958a446f819dbdb7f1

[ "MIT" ]

null

src/feature/eme_data_loader.py

0shimax/Pytorch-DRN

a5e70784d0097069e9e1cf958a446f819dbdb7f1

[ "MIT" ]

null

from pathlib import Path import pandas as pd import numpy as np import random import torch from torch.utils.data import Dataset from sklearn.model_selection import train_test_split def get_id_columns(df): user_and_target_id_columns = ["user_id", "target_user_id"] return df[user_and_target_id_column...

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null

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0

cf09fa6ef4f4a3fb801b920743bebb3502eaa28b

2,320

py

Python

mp/plot_process.py

RawPikachu/valor

02e1eb0e599904d3f0c49b52534fcb6c3762951d

[ "MIT" ]

null

mp/plot_process.py

RawPikachu/valor

02e1eb0e599904d3f0c49b52534fcb6c3762951d

[ "MIT" ]

null

mp/plot_process.py

RawPikachu/valor

02e1eb0e599904d3f0c49b52534fcb6c3762951d

[ "MIT" ]

null

from sql import ValorSQL from util import guild_name_from_tag import matplotlib.pyplot as plt import matplotlib.dates as md from scipy.interpolate import make_interp_spline from matplotlib.ticker import MaxNLocator import numpy as np from datetime import datetime import time def plot_process(lock, opt, query): a =...

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0

null

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0

cf0d0e8e618571c35cece51daafa83cd4f90bede

47,627

py

Python

bot.py

SHIA1204/kyaru

c76a5df7c26fb30136ac473bd3f1ca90a2b65739

[ "Apache-2.0" ]

null

bot.py

SHIA1204/kyaru

c76a5df7c26fb30136ac473bd3f1ca90a2b65739

[ "Apache-2.0" ]

null

bot.py

SHIA1204/kyaru

c76a5df7c26fb30136ac473bd3f1ca90a2b65739

[ "Apache-2.0" ]

null

import os import shutil from os import system import discord import asyncio import os.path import linecache import datetime import urllib import requests from bs4 import BeautifulSoup from discord.utils import get from discord.ext import commands from discord.ext.commands import CommandNotFound import logging imp...

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null

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null

0

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0

cf0ef43a8bc52fd3f88dd05dc9e8f4a26b23551b

760

py

Python

deploy.py

ksksksks-dev/Solidity-Demo

572f26efdfcaeb8721cf9f98c08205dd344848b3

[ "MIT" ]

null

deploy.py

ksksksks-dev/Solidity-Demo

572f26efdfcaeb8721cf9f98c08205dd344848b3

[ "MIT" ]

null

deploy.py

ksksksks-dev/Solidity-Demo

572f26efdfcaeb8721cf9f98c08205dd344848b3

[ "MIT" ]

1

2021-10-02T07:23:28.000Z

import json import solcx from solcx import compile_standard # solcx.install_solc() with open("./SimpleStorage.sol", "r") as file: simple_storage_file = file.read() compiled_sol = compile_standard( { "language": "Solidity", "sources": {"SimpleStorage.sol": {"content": simple_storage_file}}, ...

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null

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null

0

1

0

cf10b831b724d9102e64bddbd11566c602b17ffc

2,185

py

Python

test_clouddb/test_instance.py

adregner/python-clouddb

6c77261a0e9cda221980c9240c7fffc93a78f7f7

[ "X11" ]

1

2018-05-21T23:09:36.000Z

test_clouddb/test_instance.py

adregner/python-clouddb

6c77261a0e9cda221980c9240c7fffc93a78f7f7

[ "X11" ]

null

test_clouddb/test_instance.py

adregner/python-clouddb

6c77261a0e9cda221980c9240c7fffc93a78f7f7

[ "X11" ]

null

"""Primary testing suite for clouddb.models.instance. This code is licensed under the MIT license. See COPYING for more details.""" import time import unittest import clouddb import test_clouddb CLOUDDB_TEST_INSTANCE_OBJECT = None CLOUDDB_TEST_BASELINE_INSTANCE_COUNT = None CLOUDDB_TEST_INSTANCE_NAME = "testsuite...

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0

cf12d221f01553d46a5821f0b5720d8d94341b9e

3,327

py

Python

examples/tensorflow/nlp/bert_large_squad/tune_squad.py

kevinintel/neural-compressor

b57645566aeff8d3c18dc49d2739a583c072f940

[ "Apache-2.0" ]

100

2020-12-01T02:40:12.000Z

2021-09-09T08:14:22.000Z

examples/tensorflow/nlp/bert_large_squad/tune_squad.py

kevinintel/neural-compressor

b57645566aeff8d3c18dc49d2739a583c072f940

[ "Apache-2.0" ]

25

2021-01-05T00:16:17.000Z

2021-09-10T03:24:01.000Z

examples/tensorflow/nlp/bert_large_squad/tune_squad.py

kevinintel/neural-compressor

b57645566aeff8d3c18dc49d2739a583c072f940

[ "Apache-2.0" ]

25

2020-12-01T19:07:08.000Z

2021-08-30T14:20:07.000Z

#!/usr/bin/env python # coding=utf-8 # Copyright 2018 The Google AI Language Team 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 ...

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null

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cf18350dca3c8a011e1f04f49243469e79dd2045

1,484

py

Python

run.py

wallarelvo/SmallCartography

007e621386eb86d904fefef3f518b1d5f1dc7fe6

[ "Apache-2.0" ]

null

run.py

wallarelvo/SmallCartography

007e621386eb86d904fefef3f518b1d5f1dc7fe6

[ "Apache-2.0" ]

null

run.py

wallarelvo/SmallCartography

007e621386eb86d904fefef3f518b1d5f1dc7fe6

[ "Apache-2.0" ]

null

import carto import argparse def main(): parser = argparse.ArgumentParser( description="Runs programs for the carto MapReduce library" ) parser.add_argument( "--host", dest="host", type=str, default="localhost", help="Host of the program" ) parser.add_argument( "...

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null

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null

0

1

0

cf1bdfaeda3c9d3dd53a3e8c1108702ddef142c8

3,623

py

Python

microservices_miner/control/issue_mgr.py

IBM/microservices-miner

b7befa1c97930b1e7347c9e386a4bb5c5f2d2198

[ "MIT" ]

null

microservices_miner/control/issue_mgr.py

IBM/microservices-miner

b7befa1c97930b1e7347c9e386a4bb5c5f2d2198

[ "MIT" ]

4

2021-06-08T22:11:29.000Z

2022-01-14T21:21:04.000Z

microservices_miner/control/issue_mgr.py

IBM/microservices-miner

b7befa1c97930b1e7347c9e386a4bb5c5f2d2198

[ "MIT" ]

1

2020-08-06T14:53:05.000Z

# (C) Copyright IBM Corporation 2017, 2018, 2019 # U.S. Government Users Restricted Rights: Use, duplication or disclosure restricted # by GSA ADP Schedule Contract with IBM Corp. # # Author: Leonardo P. Tizzei <ltizzei@br.ibm.com> from microservices_miner.control.database_conn import IssueConn, UserConn, RepositoryCo...

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1

0

cf1d3c9ee4fa3f3a46513695b9bd7c1714c7aef5

10,893

py

Python

custom_components/skyq/config_flow.py

TomBrien/Home_Assistant_SkyQ_MediaPlayer

50f9ad0d3b7a3bc2acc652415ff59740bf3ace10

[ "MIT" ]

null

custom_components/skyq/config_flow.py

TomBrien/Home_Assistant_SkyQ_MediaPlayer

50f9ad0d3b7a3bc2acc652415ff59740bf3ace10

[ "MIT" ]

null

custom_components/skyq/config_flow.py

TomBrien/Home_Assistant_SkyQ_MediaPlayer

50f9ad0d3b7a3bc2acc652415ff59740bf3ace10

[ "MIT" ]

null

"""Configuration flow for the skyq platform.""" import ipaddress import json import logging import re from operator import attrgetter import homeassistant.helpers.config_validation as cv import pycountry import voluptuous as vol from homeassistant import config_entries, exceptions from homeassistant.const import CONF_...

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null

0

null

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1

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cf1e1fc048aed029497d762bdbe8c8befabdb682

2,045

py

Python

tradssat/out/soilni.py

shreyayadav/traDSSAT

cc9650f896910c0d0a7a382aff36bef89aba70f2

[ "MIT" ]

null

tradssat/out/soilni.py

shreyayadav/traDSSAT

cc9650f896910c0d0a7a382aff36bef89aba70f2

[ "MIT" ]

null

tradssat/out/soilni.py

shreyayadav/traDSSAT

cc9650f896910c0d0a7a382aff36bef89aba70f2

[ "MIT" ]

null

from tradssat.tmpl.output import OutFile from tradssat.tmpl.var import FloatVar, IntegerVar class SoilNiOut(OutFile): """ Reader for DSSAT soil nitrogen (SOILNI.OUT) files. """ filename = 'SoilNi.Out' def _get_var_info(self): return vars_ vars_ = { IntegerVar('YEAR', 4, info='Year')...

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null

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0

cf1edbd7a30a852f3ca1224c69d6e47997c186c3

4,888

py

Python

project/scripts/run-cooja.py

nfi/multitrace

7a043f4c3f580ca87c39f23337322b98594f3a51

[ "BSD-3-Clause" ]

4

2021-12-20T12:25:56.000Z

2022-03-23T20:39:16.000Z

project/scripts/run-cooja.py

nfi/multitrace

7a043f4c3f580ca87c39f23337322b98594f3a51

[ "BSD-3-Clause" ]

null

project/scripts/run-cooja.py

nfi/multitrace

7a043f4c3f580ca87c39f23337322b98594f3a51

[ "BSD-3-Clause" ]

null

#!/usr/bin/env python3 import argparse import sys import os import time import traceback import subprocess from subprocess import PIPE, STDOUT, CalledProcessError # Find path to this script SELF_PATH = os.path.dirname(os.path.abspath(__file__)) # Find path to Contiki-NG relative to this script CONTIKI_PATH = os.path....

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cf1f3cd2308c871fbca4d806dda3a4b0a43ddbe0

711

py

Python

Recent Excel Documents.lbaction/Contents/Scripts/default.py

nriley/LBOfficeMRU

e2df583cdb32a066f3ab002d4182fa40759839a6

[ "Apache-2.0" ]

13

2016-08-21T12:18:42.000Z

2022-02-01T22:03:45.000Z

Recent Excel Documents.lbaction/Contents/Scripts/default.py

nriley/LBOfficeMRU

e2df583cdb32a066f3ab002d4182fa40759839a6

[ "Apache-2.0" ]

1

2017-02-11T10:46:12.000Z

2017-03-31T04:20:01.000Z

Recent Excel Documents.lbaction/Contents/Scripts/default.py

nriley/LBOfficeMRU

e2df583cdb32a066f3ab002d4182fa40759839a6

[ "Apache-2.0" ]

null

#!/usr/bin/env python3 import json, operator import mruservice, mruuserdata APP_NAME = 'Excel' APP_BUNDLE_ID = 'com.microsoft.Excel' APP_URL_PREFIX = 'ms-excel:ofe|u|' EXTENSION_TO_ICON_NAME = dict( slk='XLS8', dif='XLS8', ods='ODS', xls='XLS8', xlsx='XLSX', xltx='XLTX', xlsm='XLSM', xltm='XLTM', xlsb='XLSB',...

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null

0

null

0

1

0

cf1f9a3ecc8549d804dcf2f5aef38297dc7945b8

2,458

py

Python

3sum_medium.py

victorsemenov1980/LeetCodeDailyFun

f66273a9868ede5e2337f586e21eaf9e771b9b48

[ "MIT" ]

null

3sum_medium.py

victorsemenov1980/LeetCodeDailyFun

f66273a9868ede5e2337f586e21eaf9e771b9b48

[ "MIT" ]

null

3sum_medium.py

victorsemenov1980/LeetCodeDailyFun

f66273a9868ede5e2337f586e21eaf9e771b9b48

[ "MIT" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Sat May 22 12:03:16 2021 @author: user """ ''' Given an integer array nums, return all the triplets [nums[i], nums[j], nums[k]] such that i != j, i != k, and j != k, and nums[i] + nums[j] + nums[k] == 0. Notice that the solution set must not contain dupli...

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null

0

null

0

1

0

cf20204aba78a60c893f6561c24e36c3ce30077f

651

py

Python

tests/test_loss.py

MartinXPN/abcde

13192c5f7dfb32a461b9205aed4b0b21e79d8285

[ "MIT" ]

4

2021-01-20T09:15:37.000Z

2022-03-03T13:58:18.000Z

tests/test_loss.py

MartinXPN/abcde

13192c5f7dfb32a461b9205aed4b0b21e79d8285

[ "MIT" ]

null

tests/test_loss.py

MartinXPN/abcde

13192c5f7dfb32a461b9205aed4b0b21e79d8285

[ "MIT" ]

null

from unittest import TestCase from torch import Tensor from abcde.loss import PairwiseRankingCrossEntropyLoss class TestPairwiseRankingLoss(TestCase): def test_simple_case(self): loss = PairwiseRankingCrossEntropyLoss() res = loss(pred_betweenness=Tensor([[0.5], [0.7], [3]]), target_betweenness=...

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cf27715d55b617221f21406b94ab34e0ac04baac

5,981

py

Python

lib/surface/compute/instance_groups/managed/abandon_instances.py

eyalev/gcloud

421ee63a0a6d90a097e8530d53a6df5b905a0205

[ "Apache-2.0" ]

null

lib/surface/compute/instance_groups/managed/abandon_instances.py

eyalev/gcloud

421ee63a0a6d90a097e8530d53a6df5b905a0205

[ "Apache-2.0" ]

null

lib/surface/compute/instance_groups/managed/abandon_instances.py

eyalev/gcloud

421ee63a0a6d90a097e8530d53a6df5b905a0205

[ "Apache-2.0" ]

2

2020-11-04T03:08:21.000Z

2020-11-05T08:14:41.000Z

# Copyright 2015 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 ag...

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null

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cf289c374ee47f4952cddf28f571e3c1c464ba43

1,185

py

Python

day:22/isBinaryTreeSymmetric.py

hawaijar/FireLeetcode

e981e96f6a38a3b08e9b7ef59aec65f6e0e5728a

[ "MIT" ]

1

2020-10-21T12:28:23.000Z

day:22/isBinaryTreeSymmetric.py

hawaijar/FireLeetcode

e981e96f6a38a3b08e9b7ef59aec65f6e0e5728a

[ "MIT" ]

null

day:22/isBinaryTreeSymmetric.py

hawaijar/FireLeetcode

e981e96f6a38a3b08e9b7ef59aec65f6e0e5728a

[ "MIT" ]

1

2020-10-21T12:28:24.000Z

# Definition for a binary tree node. # class TreeNode: # def __init__(self, val=0, left=None, right=None): # self.val = val # self.left = left # self.right = right class Solution: def isSymmetric(self, root: TreeNode) -> bool: #base case(s) if(root is None): return True; ...

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null

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cf296e88d03c596024b49c000c2c21fe1354248f

3,991

py

Python

main.py

prjavidi/C-

76e7c7720a921e48726ad652cfc0f1000f9a2b3e

[ "MIT" ]

null

main.py

prjavidi/C-

76e7c7720a921e48726ad652cfc0f1000f9a2b3e

[ "MIT" ]

null

main.py

prjavidi/C-

76e7c7720a921e48726ad652cfc0f1000f9a2b3e

[ "MIT" ]

null

'''chane the below arguments to check different tasks''' TRAINSIZE = 5000 TESTSIZE = 500 '''To check TASK 3 put Normalize=1 otherwise 0''' Nomalize = 1 learningRate = 0.01 threshold = 85 import numpy as np import matplotlib import matplotlib.pyplot as plt @np.vectorize def sigmoid(x): return 1 / (1 + np.e ** -x)...

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0

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null

0

null

0

1

0

cf2c4d8068a5e81799ce759db7c058c410706010

6,269

py

Python

polyaxon/scheduler/spawners/tensorboard_spawner.py

elyase/polyaxon

1c19f059a010a6889e2b7ea340715b2bcfa382a0

[ "MIT" ]

null

polyaxon/scheduler/spawners/tensorboard_spawner.py

elyase/polyaxon

1c19f059a010a6889e2b7ea340715b2bcfa382a0

[ "MIT" ]

null

polyaxon/scheduler/spawners/tensorboard_spawner.py

elyase/polyaxon

1c19f059a010a6889e2b7ea340715b2bcfa382a0

[ "MIT" ]

null

import json import random from django.conf import settings from polyaxon_k8s.exceptions import PolyaxonK8SError from scheduler.spawners.project_job_spawner import ProjectJobSpawner from scheduler.spawners.templates import constants, ingresses, services from scheduler.spawners.templates.pod_environment import ( ge...

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null

0

null

0

1

0

cf2cdf5265503bfa5f46413c8c8ff1d4149197dd

4,651

py

Python

iot/rooms/__init__.py

joh90/iot

4a571be7e0760445dd2d5be858ecb4372b5d59b4

[ "MIT" ]

6

2018-11-06T02:07:21.000Z

2021-12-15T07:56:14.000Z

iot/rooms/__init__.py

joh90/iot

4a571be7e0760445dd2d5be858ecb4372b5d59b4

[ "MIT" ]

7

2019-06-17T15:50:22.000Z

2021-03-14T19:24:16.000Z

iot/rooms/__init__.py

joh90/iot

4a571be7e0760445dd2d5be858ecb4372b5d59b4

[ "MIT" ]

1

2020-05-26T09:32:56.000Z

import logging from iot.constants import ROOM_LIST_MESSAGE from iot.utils import return_mac from iot.devices import DeviceType from iot.devices.broadlink import ( BroadlinkDeviceFactory, BroadlinkDeviceTypes ) from iot.devices.errors import ( DeviceTypeNotFound, BrandNotFound, SendCommandError ) from ...

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0

null

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null

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cf2d6649ae78a91eff025de10e3d668a7dec13c5

2,919

py

Python

start.py

mutageneral/fossdiscord

54111e6e6ff8ee64f54241a11b9da52db4776223

[ "MIT" ]

null

start.py

mutageneral/fossdiscord

54111e6e6ff8ee64f54241a11b9da52db4776223

[ "MIT" ]

null

start.py

mutageneral/fossdiscord

54111e6e6ff8ee64f54241a11b9da52db4776223

[ "MIT" ]

null

import os, ctypes, sys, subprocess, config, globalconfig, shutil from git import Repo from shutil import copyfile commands = ["--help", "--updatebot", "--start", "--credits"] def startbot(): print("Attempting to start the bot...") print("REMEMBER: YOU MUST RUN THE COMMAND '" + config.prefix + "shutdownbot' TO...

42.304348

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0

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2,919

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0.1

0

null

0

null

0

1

0

cf2ebd0be605b85c733e5e7a385de095a11ecc48

932

py

Python

QTM/MixQC/1.0.0/plt.py

binggu56/qmd

e2628710de15f8a8b9a1280fcf92f9e87559414c

[ "MIT" ]

null

QTM/MixQC/1.0.0/plt.py

binggu56/qmd

e2628710de15f8a8b9a1280fcf92f9e87559414c

[ "MIT" ]

null

QTM/MixQC/1.0.0/plt.py

binggu56/qmd

e2628710de15f8a8b9a1280fcf92f9e87559414c

[ "MIT" ]

null

##!/usr/bin/python import numpy as np import pylab as pl #with open("traj.dat") as f: # data = f.read() # # data = data.split('\n') # # x = [row.split(' ')[0] for row in data] # y = [row.split(' ')[1] for row in data] # # fig = plt.figure() # # ax1 = fig.add_subplot(111) # # ax1.set_title("Plot t...

19.416667

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0.031496

0.047244

0

0.030831

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932

47

50

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0

1

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0

0.166667

0

null

0

null

0

1

0

cf2ee0d6951dff87d2cc119417466bb9ccb36246

2,753

py

Python

generator/generator.py

zbelateche/ee272_cgra

4cf2e3cf4a4bdf585d87a9209a5bf252666bc6a2

[ "BSD-3-Clause" ]

1

2020-07-23T02:57:12.000Z

generator/generator.py

zbelateche/ee272_cgra

4cf2e3cf4a4bdf585d87a9209a5bf252666bc6a2

[ "BSD-3-Clause" ]

null

generator/generator.py

zbelateche/ee272_cgra

4cf2e3cf4a4bdf585d87a9209a5bf252666bc6a2

[ "BSD-3-Clause" ]

1

2021-04-27T23:13:43.000Z

from abc import ABC, abstractmethod from ordered_set import OrderedSet import magma from common.collections import DotDict from generator.port_reference import PortReference, PortReferenceBase import warnings class Generator(ABC): def __init__(self): self.ports = DotDict() self.wires = [] @ab...

30.588889

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0.029178

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0.210875

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0.020101

0.349437

2,753

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0

0.03814

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0.013333

0.08

0

0.32

0

null

0

null

0

1

0

cf33c0f359af61ed23f396ff759a9bbdc5a2e5ec

7,118

py

Python

app/gws/web/wrappers.py

ewie/gbd-websuite

6f2814c7bb64d11cb5a0deec712df751718fb3e1

[ "Apache-2.0" ]

null

app/gws/web/wrappers.py

ewie/gbd-websuite

6f2814c7bb64d11cb5a0deec712df751718fb3e1

[ "Apache-2.0" ]

null

app/gws/web/wrappers.py

ewie/gbd-websuite

6f2814c7bb64d11cb5a0deec712df751718fb3e1

[ "Apache-2.0" ]

null

import os import gzip import io import werkzeug.utils import werkzeug.wrappers import werkzeug.wsgi from werkzeug.utils import cached_property import gws import gws.tools.date import gws.tools.json2 import gws.tools.net import gws.tools.vendor.umsgpack as umsgpack import gws.web.error import gws.types as t _JSON =...

31.635556

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0.027149

0.015718

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7,118

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0.451807

0

null

0

null

0

1

0

cf34a3f0197c3f6dc8a1f65c74ae293fb179d4ac

3,299

py

Python

mozinor/example/toto_stack_model_script.py

Jwuthri/Mozinor

5a2cd4f0447a96425d899a8e063668741a091a8b

[ "MIT" ]

3

2017-08-17T21:32:05.000Z

2018-07-30T11:30:09.000Z

mozinor/example/toto_stack_model_script.py

Jwuthri/Mozinor

5a2cd4f0447a96425d899a8e063668741a091a8b

[ "MIT" ]

null

mozinor/example/toto_stack_model_script.py

Jwuthri/Mozinor

5a2cd4f0447a96425d899a8e063668741a091a8b

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Created on July 2017 @author: JulienWuthrich """ import pandas as pd import numpy as np from sklearn.preprocessing import PolynomialFeatures from sklearn.metrics import mean_absolute_error, accuracy_score, r2_score from sklearn.model_selection import train_test_split from sklearn.ensembl...

35.095745

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0.041563

0

0.023734

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null

0

null

0

1

0

cf36336bd222b8046304d99fe89eeed7d9b73ede

4,330

py

Python

Detection and Tracking/main.py

Jay-Nehra/Object-Detection

f91085ecf709d21bf7ffd3b2e370fc36ae5e88f2

[ "BSD-3-Clause" ]

1

2021-01-23T09:11:59.000Z

Detection and Tracking/main.py

Jay-Nehra/Object-Detection

f91085ecf709d21bf7ffd3b2e370fc36ae5e88f2

[ "BSD-3-Clause" ]

null

Detection and Tracking/main.py

Jay-Nehra/Object-Detection

f91085ecf709d21bf7ffd3b2e370fc36ae5e88f2

[ "BSD-3-Clause" ]

null

""" this program takes in a checkerboard image from a camera and calibrates the image to remove camera radial and tangential distortion. """ import cv2 import YOLO as odYOLO # object detection using YOLO import HOG as odHOG # object detection using an svm and HOG features import data import numpy as np """ Uncomment ...

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null

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null

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cf39abdd7b9db220323875a0a137611f84fce21d

1,646

py

Python

functions/07.py

luan-gomes/python-basic-exercises

213844b421b27ab3e9c09be24d4efb37cc6fce08

[ "MIT" ]

null

functions/07.py

luan-gomes/python-basic-exercises

213844b421b27ab3e9c09be24d4efb37cc6fce08

[ "MIT" ]

null

functions/07.py

luan-gomes/python-basic-exercises

213844b421b27ab3e9c09be24d4efb37cc6fce08

[ "MIT" ]

null

""" 1) Faça um programa que use a função valorPagamento para determinar o valor a ser pago por uma prestação de uma conta. 2) O programa deverá solicitar ao usuário o valor da prestação e o número de dias em atraso e passar estes valores para a função valorPagamento, que calculará o valor a ser pago e devolverá est...

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0.186513

1,646

46

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0.173913

0

null

0

null

0

1

0

cf3a73df976f6a84385fb7762c36292debe844b3

1,814

py

Python

common/login.py

zhaopiandehuiyiforsang/python_test

7a6ef77afd3b436f798ca68c77b9ac8669e00094

[ "MIT" ]

null

common/login.py

zhaopiandehuiyiforsang/python_test

7a6ef77afd3b436f798ca68c77b9ac8669e00094

[ "MIT" ]

null

common/login.py

zhaopiandehuiyiforsang/python_test

7a6ef77afd3b436f798ca68c77b9ac8669e00094

[ "MIT" ]

null

# -*- conding:utf-8 -*- from init_env import BASE_DIR from common.HttpUtils import HttpUtils from common.env_config import ServerCC from common.DateUtils import currentTimeMillis, DateTime import json import os token_json_path = BASE_DIR + '/resources/token.json' """ 获取接口调用凭证token工具 """ URL_AUTH = 'https://rasdev9.z...

25.914286

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0

0.006276

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1,814

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61

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0.799861

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0

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0.020408

0

null

0

null

0

1

0

cf3bbae06f3088b31cf43074001976c60e15c3b8

262

py

Python

wbb/utils/filter_groups.py

Imran95942/userbotisl

1614af1d1ba904dfd5e28dfd5b3e21d5e24bb55c

[ "MIT" ]

1

2021-11-17T13:25:25.000Z

wbb/utils/filter_groups.py

Imran95942/userbotisl

1614af1d1ba904dfd5e28dfd5b3e21d5e24bb55c

[ "MIT" ]

null

wbb/utils/filter_groups.py

Imran95942/userbotisl

1614af1d1ba904dfd5e28dfd5b3e21d5e24bb55c

[ "MIT" ]

null

chat_filters_group = 1 chatbot_group = 2 karma_positive_group = 3 karma_negative_group = 4 regex_group = 5 welcome_captcha_group = 6 antiflood_group = 7 blacklist_filters_group = 8 taglog_group = 9 chat_watcher_group = 10 flood_group = 11 autocorrect_group = 12

20.153846

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0

1

0

false

0

null

0

null

0

1

0

cf3e620c460aed9e0fba7d56f5f6161f6fb1dbd6

3,162

py

Python

my_pilz_sandbox/scripts/pause.py

ct2034/my_pilz_sandbox

40400c6469918f56d384580d41f61b2cca3b49c9

[ "BSD-3-Clause" ]

null

my_pilz_sandbox/scripts/pause.py

ct2034/my_pilz_sandbox

40400c6469918f56d384580d41f61b2cca3b49c9

[ "BSD-3-Clause" ]

null

my_pilz_sandbox/scripts/pause.py

ct2034/my_pilz_sandbox

40400c6469918f56d384580d41f61b2cca3b49c9

[ "BSD-3-Clause" ]

null

#!/usr/bin/env python from geometry_msgs.msg import Pose, Point, PoseArray, Quaternion import math import numpy as np from pilz_robot_programming import * import random import rospy import time __REQUIRED_API_VERSION__ = "1" # API version SLOW_VEL_SCALE = .1 ACC_SCALE = .1 GRIPPER_POSE_CLOSED = 0.001 GRIPPER_POSE_OP...

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cf3f13905a5ccf5bc9884a2805ccfdf8e0e29624

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py

Python

feed-runner.py

quandram/podcatcher

b1d14b10b3e1afd1947e09ddf2006dac37c6fae7

[ "MIT" ]

null

feed-runner.py

quandram/podcatcher

b1d14b10b3e1afd1947e09ddf2006dac37c6fae7

[ "MIT" ]

null

feed-runner.py

quandram/podcatcher

b1d14b10b3e1afd1947e09ddf2006dac37c6fae7

[ "MIT" ]

null

import configparser import os from podcatcher import podcatcher import configKeys def update_last_processed_date(config, configSection, lastDownloadedDate): config.set(configSection, configKeys.LAST_DOWNLOADED_DATE, lastDownloadedDate.strftime("%Y-%m-%d %H:%M:%S %Z")) with open(os.path.join(os.path.dirname(__...

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py

Python

cli/train.py

breid1313/nlp_hw3_text_fcn_pytorch

a4234e90d37e94a3043d9715c90bac7543f4b0ae

[ "Apache-2.0" ]

null

cli/train.py

breid1313/nlp_hw3_text_fcn_pytorch

a4234e90d37e94a3043d9715c90bac7543f4b0ae

[ "Apache-2.0" ]

null

cli/train.py

breid1313/nlp_hw3_text_fcn_pytorch

a4234e90d37e94a3043d9715c90bac7543f4b0ae

[ "Apache-2.0" ]

null

# Copyright 2020 Vladislav Lialin and Skillfactory LLC # # 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 # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable la...

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cf483c36d559d50ef56df32e2b8c8288a4ddb79b

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py

Python

src/profile.py

SimonPerche/PersonalitiesWars

495803a5be5e9fde572c3f39086d8a3510c75f58

[ "MIT" ]

null

src/profile.py

SimonPerche/PersonalitiesWars

495803a5be5e9fde572c3f39086d8a3510c75f58

[ "MIT" ]

null

src/profile.py

SimonPerche/PersonalitiesWars

495803a5be5e9fde572c3f39086d8a3510c75f58

[ "MIT" ]

1

2022-03-08T22:07:50.000Z

from datetime import datetime, timedelta import asyncio import math from collections import defaultdict import discord from discord.ext import commands, pages from discord.commands import slash_command, Option from database import DatabaseDeck, DatabasePersonality from roll import min_until_next_claim import utils ...

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py

Python

aids/strings/is_palindrome.py

ueg1990/aids

bb543c6f53983d59edbc6a522ca10d64efd9c42e

[ "MIT" ]

null

aids/strings/is_palindrome.py

ueg1990/aids

bb543c6f53983d59edbc6a522ca10d64efd9c42e

[ "MIT" ]

null

aids/strings/is_palindrome.py

ueg1990/aids

bb543c6f53983d59edbc6a522ca10d64efd9c42e

[ "MIT" ]

null

''' In this module, we determine if a given string is a palindrome ''' def is_palindrome(string): ''' Return True if given string is a palindrome ''' if len(string) < 2: return True if string[0] == string[-1]: return is_palindrome(string[1:-1]) return False

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cf4dc6fb0422c61d631abfb411ae82187b6217d2

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py

Python

Chapter08/python/ab-env/lib/python3.8/site-packages/numpy-1.16.4-py3.8-macosx-10.16-x86_64.egg/numpy/core/_dtype_ctypes.py

PacktPublishing/Supercharge-Your-Applications-with-GraalVM

bfb068e445f0325be9c7d526b6e07324dff9d1d2

[ "MIT" ]

9

2021-06-27T07:22:14.000Z

2022-02-25T18:05:01.000Z

Chapter08/python/ab-env/lib/python3.8/site-packages/numpy-1.16.4-py3.8-macosx-10.16-x86_64.egg/numpy/core/_dtype_ctypes.py

PacktPublishing/Supercharge-Your-Applications-with-GraalVM

bfb068e445f0325be9c7d526b6e07324dff9d1d2

[ "MIT" ]

null

Chapter08/python/ab-env/lib/python3.8/site-packages/numpy-1.16.4-py3.8-macosx-10.16-x86_64.egg/numpy/core/_dtype_ctypes.py

PacktPublishing/Supercharge-Your-Applications-with-GraalVM

bfb068e445f0325be9c7d526b6e07324dff9d1d2

[ "MIT" ]

8

2021-05-28T15:45:12.000Z

2022-02-01T10:21:37.000Z

""" Conversion from ctypes to dtype. In an ideal world, we could acheive this through the PEP3118 buffer protocol, something like:: def dtype_from_ctypes_type(t): # needed to ensure that the shape of `t` is within memoryview.format class DummyStruct(ctypes.Structure): _fields_ = [('a',...

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py

Python

tests/test_micromagnetic_zeeman.py

computationalmodelling/fidimag

07a275c897a44ad1e0d7e8ef563f10345fdc2a6e

[ "BSD-2-Clause" ]

53

2016-02-27T09:40:21.000Z

2022-01-19T21:37:44.000Z

tests/test_micromagnetic_zeeman.py

computationalmodelling/fidimag

07a275c897a44ad1e0d7e8ef563f10345fdc2a6e

[ "BSD-2-Clause" ]

132

2016-02-26T13:18:58.000Z

2021-12-01T21:52:42.000Z

tests/test_micromagnetic_zeeman.py

computationalmodelling/fidimag

07a275c897a44ad1e0d7e8ef563f10345fdc2a6e

[ "BSD-2-Clause" ]

32

2016-02-26T13:21:40.000Z

2022-03-08T08:54:51.000Z

from fidimag.micro import Zeeman from fidimag.common import CuboidMesh from fidimag.micro import Sim import numpy as np def varying_field(pos): return (1.2 * pos[0], 2.3 * pos[1], 0) def test_H0_is_indexable_or_callable(): """ Test that an exception is raised if H0 is not indexable, and that an exce...

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null

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cf50585745c7b40989b43625db650caccd9e042a

13,058

py

Python

rule_learner_both_classes.py

mgbarsky/classification_rules

699969b87bd7a9080a7e937025fd26398c11a60d

[ "MIT" ]

null

rule_learner_both_classes.py

mgbarsky/classification_rules

699969b87bd7a9080a7e937025fd26398c11a60d

[ "MIT" ]

null

rule_learner_both_classes.py

mgbarsky/classification_rules

699969b87bd7a9080a7e937025fd26398c11a60d

[ "MIT" ]

null

import pandas as pd import numpy as np class Rule: def __init__(self, class_label): self.conditions = [] # list of conditions self.class_label = class_label # rule class def add_condition(self, condition): self.conditions.append(condition) def set_params(self, accuracy, coverag...

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null

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null

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cf5251ba997fd509524b5ed305550da937b3de70

5,314

py

Python

packager/rpm/build.py

csdms/packagebuilder

a72f1d264d9219acfb422864fbcd57dfd6cfd51b

[ "MIT" ]

null

packager/rpm/build.py

csdms/packagebuilder

a72f1d264d9219acfb422864fbcd57dfd6cfd51b

[ "MIT" ]

null

packager/rpm/build.py

csdms/packagebuilder

a72f1d264d9219acfb422864fbcd57dfd6cfd51b

[ "MIT" ]

null

#! /usr/bin/env python # # Builds binary and source RPMs for a CSDMS model or tool. # # Create the executable script `build_rpm` with: # $ cd path/to/packagebuilder # $ sudo python setup.py install # # Examples: # $ build_rpm --help # $ build_rpm --version # $ build_rpm hydrotrend # $ build_rpm babel --tag ...

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cf528e1ce597b280628a646ef42b416b3143745b

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py

Python

setup.py

dwhall/sx127x_ahsm

71605ddb218636cb86f628441c2f1aee904bd271

[ "MIT" ]

1

2019-09-07T08:59:41.000Z

setup.py

dwhall/sx127x_ahsm

71605ddb218636cb86f628441c2f1aee904bd271

[ "MIT" ]

1

2020-06-15T14:25:28.000Z

2020-06-15T22:55:40.000Z

setup.py

dwhall/sx127x_ahsm

71605ddb218636cb86f628441c2f1aee904bd271

[ "MIT" ]

1

2020-06-14T16:35:47.000Z

import setuptools with open("README.md", "r") as fh: long_description = fh.read() setuptools.setup( name="sx127x_ahsm", version="0.1.0", author="Dean Hall", author_email="dwhall256@gmail.com", description="A driver for the Semtech SX127X radio data modem.", long_description=long_descriptio...

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0

0.04

0

null

0

null

0

1

0

cf545cb8f22abd776b690122d22917eb5c3778ef

5,756

py

Python

Preprocessing/reversegeo.py

salathegroup/Semester_Project

2de38eef4ae6b3c350f8b742021ff098ecb376c4

[ "MIT" ]

null

Preprocessing/reversegeo.py

salathegroup/Semester_Project

2de38eef4ae6b3c350f8b742021ff098ecb376c4

[ "MIT" ]

1

2018-02-20T15:25:22.000Z

Preprocessing/reversegeo.py

salathegroup/Semester_Project

2de38eef4ae6b3c350f8b742021ff098ecb376c4

[ "MIT" ]

2

2017-11-07T09:12:11.000Z

2019-04-12T16:07:40.000Z

import reverse_geocoder as rg import csv import multiprocessing as mp import multiprocessing.pool import glob import re mx_ca_us_state_abbrev = { 'Alabama': '1', 'Alaska': '2', 'Arizona': '3', 'Arkansas': '4', 'California': '5', 'Colorado': '6', 'Connecticut': '7', 'Delaware': '8', ...

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null

0

null

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1

0

cf54c232a75d4a7341295831e0d07ef22dddb9f7

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py

Python

Trainer.py

Gorilla-Lab-SCUT/OrthDNNs

7391b1751334c485feea212a80abc4dc8430dc1e

[ "BSD-3-Clause" ]

4

2021-07-15T07:34:30.000Z

2022-03-30T08:23:46.000Z

Trainer.py

Gorilla-Lab-SCUT/OrthDNNs

7391b1751334c485feea212a80abc4dc8430dc1e

[ "BSD-3-Clause" ]

1

2020-02-11T10:55:46.000Z

Trainer.py

Yuxin-Wen/OrthDNNs

7391b1751334c485feea212a80abc4dc8430dc1e

[ "BSD-3-Clause" ]

1

2021-11-23T03:31:09.000Z

from __future__ import division import time import numpy as np import math import random import torch import torch.nn as nn import torch.nn.parallel import torch.nn.functional as F import torch.optim as optim from torch.autograd import Variable import torchvision from Utility import Average_meter from Utility import ...

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py

Python

src/utils/login_to_spotify.py

SecondThundeR/spotichecker

05787bae85cb0d9c5832939c72bad526eb419705

[ "MIT" ]

null

src/utils/login_to_spotify.py

SecondThundeR/spotichecker

05787bae85cb0d9c5832939c72bad526eb419705

[ "MIT" ]

null

src/utils/login_to_spotify.py

SecondThundeR/spotichecker

05787bae85cb0d9c5832939c72bad526eb419705

[ "MIT" ]

null

"""Utils for logging to Spotify. This module contains functions for connecting to Spotify API. This file can also be imported as a module and contains the following functions: * login_to_spotify - connect to Spotify and return OAuth object """ import spotipy from spotipy.oauth2 import SpotifyOAuth SCOPES = "u...

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null

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cf556fe0579840dc64ac6b121230f3d881ae21c9

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py

Python

prostate_cancer_nomograms/statistical_analysis/nomograms_performance_evaluation/decision_curve_analysis/__init__.py

MaxenceLarose/ProstateCancerNomograms

4ff15dccd1f2dbde58d3a21a2e680e909e2e408a

[ "Apache-2.0" ]

1

2021-10-04T18:03:10.000Z

prostate_cancer_nomograms/statistical_analysis/nomograms_performance_evaluation/decision_curve_analysis/__init__.py

MaxenceLarose/ProstateCancerNomograms

4ff15dccd1f2dbde58d3a21a2e680e909e2e408a

[ "Apache-2.0" ]

null

prostate_cancer_nomograms/statistical_analysis/nomograms_performance_evaluation/decision_curve_analysis/__init__.py

MaxenceLarose/ProstateCancerNomograms

4ff15dccd1f2dbde58d3a21a2e680e909e2e408a

[ "Apache-2.0" ]

null

import pandas as pd from .algo import * from .validate import * from .validate import DCAError __all__ = ['DecisionCurveAnalysis'] # only public member should be the class class DecisionCurveAnalysis: """DecisionCurveAnalysis(...) DecisionCurveAnalysis(algorithm='dca', **kwargs) Create an object of...

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null

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py

Python

pyxmp/xmp.py

jeslyvarghese/pyxmp

94e9f97574230f04b47fbcc7ed2caaa26e125ec4

[ "MIT" ]

null

pyxmp/xmp.py

jeslyvarghese/pyxmp

94e9f97574230f04b47fbcc7ed2caaa26e125ec4

[ "MIT" ]

null

pyxmp/xmp.py

jeslyvarghese/pyxmp

94e9f97574230f04b47fbcc7ed2caaa26e125ec4

[ "MIT" ]

null

import xml.etree.ElementTree as ET from .__keysearch import keysearch from .__attribute import Attribute class XMP(object): def __init__(self, filepath, **namespaces): self.filepath = filepath with open(self.filepath, 'rb') as f: data = f.read() xmp_start = data.find(b'<x:xmpmet...

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0

null

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1

0

cf58a225d1a16173cd170707ce55c8de870dc56f

568

py

Python

sparse/utils.py

ContinuumIO/sparse

10da2d31f0228f192b3064ab253bc828b3cf1a50

[ "BSD-3-Clause" ]

2

2017-09-17T21:22:21.000Z

2019-08-26T02:28:10.000Z

sparse/utils.py

ContinuumIO/sparse

10da2d31f0228f192b3064ab253bc828b3cf1a50

[ "BSD-3-Clause" ]

null

sparse/utils.py

ContinuumIO/sparse

10da2d31f0228f192b3064ab253bc828b3cf1a50

[ "BSD-3-Clause" ]

4

2019-03-21T05:38:06.000Z

2021-02-23T06:26:48.000Z

import numpy as np from .core import COO def assert_eq(x, y): assert x.shape == y.shape assert x.dtype == y.dtype if isinstance(x, COO): if x.sorted: assert is_lexsorted(x) if isinstance(y, COO): if y.sorted: assert is_lexsorted(y) if hasattr(x, 'todense')...

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0

cf6581484116a18845484669a17d5f8076cfe782

2,612

py

Python

baseline/xray.py

RoliKhanna/Anchor-Free

e3d599b7cbdc988ad7720c1e8324cabe87917d59

[ "MIT" ]

null

baseline/xray.py

RoliKhanna/Anchor-Free

e3d599b7cbdc988ad7720c1e8324cabe87917d59

[ "MIT" ]

null

baseline/xray.py

RoliKhanna/Anchor-Free

e3d599b7cbdc988ad7720c1e8324cabe87917d59

[ "MIT" ]

1

2019-11-25T22:08:19.000Z

from nltk.corpus import reuters import sys import numpy as np from scipy import optimize # Loading data here train_documents, train_categories = zip(*[(reuters.raw(i), reuters.categories(i)) for i in reuters.fileids() if i.startswith('training/')]) test_documents, test_categories = zip(*[(reuters.raw(i), reuters.cate...

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0

cf664ab43e12cf24ecd3e41b3708349ac277b2fd

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py

Python

models/deepset.py

sgvdan/OCTransformer

4bc6861406ea75afd23bdf1608a088dcba99ff14

[ "Apache-2.0" ]

null

models/deepset.py

sgvdan/OCTransformer

4bc6861406ea75afd23bdf1608a088dcba99ff14

[ "Apache-2.0" ]

null

models/deepset.py

sgvdan/OCTransformer

4bc6861406ea75afd23bdf1608a088dcba99ff14

[ "Apache-2.0" ]

null

import torch from torch import nn # Obtained from: https://github.com/manzilzaheer/DeepSets/blob/master/PointClouds/classifier.py#L58 class PermEqui1_mean(nn.Module): def __init__(self, in_dim, out_dim): super().__init__() self.Gamma = nn.Linear(in_dim, out_dim) def forward(self, x): x...

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null

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1

0

cf677d8bfffcaf593d5e10ff7108b260a1cb5b41

2,478

py

Python

pandoc-wrapfig.py

nsheff/pandoc-wrapfig

d4523cf43ebab47024d7efde27d7ccddfd983d2f

[ "MIT" ]

null

pandoc-wrapfig.py

nsheff/pandoc-wrapfig

d4523cf43ebab47024d7efde27d7ccddfd983d2f

[ "MIT" ]

null

pandoc-wrapfig.py

nsheff/pandoc-wrapfig

d4523cf43ebab47024d7efde27d7ccddfd983d2f

[ "MIT" ]

1

2020-08-11T18:35:53.000Z

#! /usr/bin/env python # -*- coding: utf-8 -*- """Pandoc filter to allow variable wrapping of LaTeX/pdf documents through the wrapfig package. Simply add a " {?}" tag to the end of the caption for the figure, where ? is an integer specifying the width of the wrap in inches. 0 will cause the width of the figure to be ...

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null

0

null

0

1

0

cf697a286088c58c3db9ead0e8a7c5dfcff5c956

3,999

py

Python

las2vola.py

moloned/volumetric_accelerator_toolkit

8f5cf226a7d788e4dd4215c181db49d9568c6240

[ "Apache-2.0" ]

6

2019-02-11T14:32:23.000Z

2021-12-07T09:49:41.000Z

las2vola.py

moloned/volumetric_accelerator_toolkit

8f5cf226a7d788e4dd4215c181db49d9568c6240

[ "Apache-2.0" ]

null

las2vola.py

moloned/volumetric_accelerator_toolkit

8f5cf226a7d788e4dd4215c181db49d9568c6240

[ "Apache-2.0" ]

2

2018-10-11T17:29:37.000Z

2021-09-08T12:01:40.000Z

#!/usr/bin/env python3 """ Las2vola: Converts Las files into VOLA format. The ISPRS las format is the standard for LIDAR devices and stores information on the points obtained. This parser uses the las information for the nbit per voxel representation. The data stored is: color, height, number of returns, intensity and...

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null

0

null

0

1

0

cf6a926cdf026b6807d2fbef9356b946cbf88279

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py

Python

pipeline/test_users.py

streamsets/datacollector-tests-external

6f255b5e7496deeef333b57a5e9df4911ba3ef00

[ "Apache-2.0" ]

1

2020-04-14T03:01:51.000Z

pipeline/test_users.py

streamsets/test

1ead70179ee92a4acd9cfaa33c56a5a9e233bf3d

[ "Apache-2.0" ]

1

2019-04-24T11:06:38.000Z

pipeline/test_users.py

anubandhan/datacollector-tests

301c024c66d68353735256b262b681dd05ba16cc

[ "Apache-2.0" ]

2

2019-05-24T06:34:37.000Z

2020-03-30T11:48:18.000Z

# Copyright 2017 StreamSets 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 law or agreed to in writi...

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null

0

null

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1

0

cf6af0cf676fc11ed879ddf07c27b61f75d1ae0d

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py

Python

email_client/email_send.py

geeksLabTech/email-client

0f533f7b33c38d74aec8663ccc6d8116e0a2489d

[ "MIT" ]

1

2021-09-06T16:43:37.000Z

email_client/email_send.py

geeksLabTech/email-client

0f533f7b33c38d74aec8663ccc6d8116e0a2489d

[ "MIT" ]

null

email_client/email_send.py

geeksLabTech/email-client

0f533f7b33c38d74aec8663ccc6d8116e0a2489d

[ "MIT" ]

2

2020-09-13T02:25:50.000Z

2021-01-06T17:25:38.000Z

import smtplib from tools.errors import LoginException from tools.read_config import read_config def send_mail(sender:str, pwd:str, to:str, subject:str, text:str): # Read the email config file config = read_config('./config/config_email.json') # create connection with the smtp server smtpserver = smtp...

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null

0

null

0

1

0

cf70a281c3c891880251c2d76efe8ac3eb44248a

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py

Python

spongeauth/api/tests/test_delete_user.py

felixoi/SpongeAuth

d44ee52d0b35b2e1909c7bf6bad29aa7b4835b26

[ "MIT" ]

10

2016-11-18T12:37:24.000Z

2022-03-04T09:25:25.000Z

spongeauth/api/tests/test_delete_user.py

felixoi/SpongeAuth

d44ee52d0b35b2e1909c7bf6bad29aa7b4835b26

[ "MIT" ]

794

2016-11-19T18:34:37.000Z

2022-03-31T16:49:11.000Z

spongeauth/api/tests/test_delete_user.py

PowerNukkit/OreAuth

96a2926c9601fce6fac471bdb997077f07e8bf9a

[ "MIT" ]

11

2016-11-26T22:30:17.000Z

2022-03-16T17:20:14.000Z

import urllib.parse import django.shortcuts import pytest import faker import accounts.tests.factories import api.models @pytest.fixture def fake(): return faker.Faker() def _make_path(data): return "{}?{}".format(django.shortcuts.reverse("api:users-list"), urllib.parse.urlencode(data)) @pytest.mark.dj...

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0

null

0

null

0

1

0

cf70d57cf63af1b7800f864d1cbbd1296009fe92

2,091

py

Python

tests/rw_all.py

clayne/retrowrite

117dad525114bca695317e14affffd4e3de13cce

[ "MIT" ]

478

2019-06-19T09:33:50.000Z

2022-03-25T09:34:24.000Z

tests/rw_all.py

clayne/retrowrite

117dad525114bca695317e14affffd4e3de13cce

[ "MIT" ]

30

2019-07-12T09:38:43.000Z

2022-03-28T04:53:31.000Z

tests/rw_all.py

clayne/retrowrite

117dad525114bca695317e14affffd4e3de13cce

[ "MIT" ]

62

2019-06-25T16:41:04.000Z

2022-02-22T15:47:35.000Z

import argparse import json import subprocess import os from multiprocessing import Pool def do_test(cmd): print("[!] Running on {}".format(cmd)) try: subprocess.check_call(cmd, shell=True) except subprocess.CalledProcessError: print("[x] Failed {}".format(cmd)) def do_tests(tests, filte...

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0.032787

0

null

0

null

0

1

0

cf73010efaaefc559ce2e5d857ca0b89c2eb9c35

2,753

py

Python

tests/conftest.py

Nonse/monkeys

93681edf18126cc49858992f80df25a7cff931e8

[ "MIT" ]

null

tests/conftest.py

Nonse/monkeys

93681edf18126cc49858992f80df25a7cff931e8

[ "MIT" ]

null

tests/conftest.py

Nonse/monkeys

93681edf18126cc49858992f80df25a7cff931e8

[ "MIT" ]

null

import os import pytest import random import config from monkeygod import create_app, models from monkeygod.models import db as _db TEST_DATABASE_URI = 'postgresql://postgres:postgres@localhost/test_monkeydb' # Adapted from http://goo.gl/KXDq2p @pytest.fixture(scope='session') def app(request): """Session-wide ...

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null

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null

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1

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cf73290c5bcbebb20fd5e98add009b993c971061

8,610

py

Python

src/classifier.py

WattSocialBot/ijcnlp2017-customer-feedback

2dccdcfaf26df832343dbb76b1e31a094c578c0e

[ "MIT" ]

17

2017-10-27T20:48:38.000Z

2020-03-16T15:05:47.000Z

src/classifier.py

WattSocialBot/ijcnlp2017-customer-feedback

2dccdcfaf26df832343dbb76b1e31a094c578c0e

[ "MIT" ]

null

src/classifier.py

WattSocialBot/ijcnlp2017-customer-feedback

2dccdcfaf26df832343dbb76b1e31a094c578c0e

[ "MIT" ]

3

2017-10-28T15:34:26.000Z

2020-03-09T13:56:40.000Z

__author__ = "bplank" import argparse from sklearn.feature_extraction.text import TfidfVectorizer from sklearn.pipeline import Pipeline, FeatureUnion from sklearn.svm import LinearSVC from sklearn.metrics import accuracy_score, classification_report, confusion_matrix, f1_score from sklearn.preprocessing import LabelE...

30.316901

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null

0

null

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1

0

cf73e7f195ff23cb66846fa6c6da7d28660538de

20,029

py

Python

scripts/parser/oldslavdep.py

npedrazzini/jPTDPEarlySlavic

de9d3fa720fb86acadafc923d85473ae3371903f

[ "MIT" ]

6

2021-08-20T20:00:31.000Z

2022-01-03T15:43:50.000Z

scripts/parser/oldslavdep.py

npedrazzini/jPTDPEarlySlavic

de9d3fa720fb86acadafc923d85473ae3371903f

[ "MIT" ]

1

2021-07-30T13:07:36.000Z

scripts/parser/oldslavdep.py

npedrazzini/jPTDPEarlySlavic

de9d3fa720fb86acadafc923d85473ae3371903f

[ "MIT" ]

1

2021-01-23T20:00:25.000Z

# coding=utf-8 from __future__ import absolute_import, division, print_function, unicode_literals from builtins import str from io import open from dynet import * import dynet from utils import read_conll, read_conll_predict, write_conll, load_embeddings_file from operator import itemgetter import utils, time, random...

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0

null

0

null

0

1

0

cf7bf89fc30751bcda78ce1d1f53a0da0361b74d

1,509

py

Python

dashdaemon/keys.py

rGunti/CarPi-DashDaemon

b8b340d35125b6f7fe5bb9647760d37301b07cac

[ "MIT" ]

null

dashdaemon/keys.py

rGunti/CarPi-DashDaemon

b8b340d35125b6f7fe5bb9647760d37301b07cac

[ "MIT" ]

null

dashdaemon/keys.py

rGunti/CarPi-DashDaemon

b8b340d35125b6f7fe5bb9647760d37301b07cac

[ "MIT" ]

null

""" CARPI DASH DAEMON (C) 2018, Raphael "rGunti" Guntersweiler Licensed under MIT """ from redisdatabus.bus import TypedBusListener as Types import gpsdaemon.keys as gpskeys import obddaemon.keys as obdkeys SETTINGS_KEY_BASE = 'carpi.settings.' DASH_KEY_BASE = 'carpi.dashboard.' def _build_key(type, key_base, name...

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0.12828

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0

null

0

null

0

1

0

cf7e16d1f4e90c037eb66831eeffade73df69683

261

py

Python

imdb_movie_review_sentiment_prediction/training_and_evaluation.py

slaily/deep-learning-bits

cb9ce7ec539efbdfcaa023d141466f919bd31b71

[ "MIT" ]

null

imdb_movie_review_sentiment_prediction/training_and_evaluation.py

slaily/deep-learning-bits

cb9ce7ec539efbdfcaa023d141466f919bd31b71

[ "MIT" ]

null

imdb_movie_review_sentiment_prediction/training_and_evaluation.py

slaily/deep-learning-bits

cb9ce7ec539efbdfcaa023d141466f919bd31b71

[ "MIT" ]

null

model.compile( optimizer='rmsprop', loss='binary_crossentropy', metrics=['acc'] ) history = model.fit( x_train, y_train, epochs=10, batch_size=32, validation_data=(x_val, y_val) ) model.save_weights('pre_trained_glove_model.h5')

18.642857

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0

1

0

false

0

null

0

null

0

1

0

cf831543b480d5861c0d351648dc6dd8a55ea5de

460

py

Python

python/controls/choicegroup/choicegroup_with_change_event.py

pglet/pglet-samples

ab47e797a4daccfa4779daa3d1fd1cc27d92e7f9

[ "MIT" ]

null

python/controls/choicegroup/choicegroup_with_change_event.py

pglet/pglet-samples

ab47e797a4daccfa4779daa3d1fd1cc27d92e7f9

[ "MIT" ]

null

python/controls/choicegroup/choicegroup_with_change_event.py

pglet/pglet-samples

ab47e797a4daccfa4779daa3d1fd1cc27d92e7f9

[ "MIT" ]

null

import pglet from pglet import ChoiceGroup, choicegroup, Text with pglet.page("choicegroup-with-change-event") as page: def choicegroup_changed(e): t.value = f"ChoiceGroup value changed to {cg.value}" t.update() cg = ChoiceGroup(label='Select color', on_change=choicegroup_changed, options=[ ...

24.210526

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0

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19

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0

0.214286

0

null

0

null

0

1

0

cf84fe1671965d8bf607c4db0b1fce05cc370700

910

py

Python

raspberrypi/sound1.py

Shadowsith/python

b8878c822e55528e663de16bd1029d330862c8dc

[ "MIT" ]

null

raspberrypi/sound1.py

Shadowsith/python

b8878c822e55528e663de16bd1029d330862c8dc

[ "MIT" ]

null

raspberrypi/sound1.py

Shadowsith/python

b8878c822e55528e663de16bd1029d330862c8dc

[ "MIT" ]

1

2020-05-19T11:32:25.000Z

#!/usr/bin/python #Doppelklatschen import time gpioPort = 40 import RPi.GPIO as GPIO import mysql.connector #MySQL Verbindung statement = "UPDATE Flags SET wert=0 WHERE name='bewegung';" #GPIO Layout verwenden GPIO.setmode(GPIO.BOARD) GPIO.setup(gpioPort, GPIO.IN) lastSound = 0 def mysqlConnect(statement): ...

23.947368

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0

null

0

null

0

1

0

cf85325b7b5d658e0a68da64304ce7b4f2588e9a

7,466

py

Python

apted/all_possible_mappings_ted.py

JoaoFelipe/apted

828b3e3f4c053f7d35f0b55b0d5597e8041719ac

[ "MIT" ]

52

2017-11-14T06:45:45.000Z

2022-03-01T01:14:45.000Z

apted/all_possible_mappings_ted.py

JoaoFelipe/apted

828b3e3f4c053f7d35f0b55b0d5597e8041719ac

[ "MIT" ]

7

2018-11-21T17:21:14.000Z

2021-09-04T09:23:53.000Z

apted/all_possible_mappings_ted.py

JoaoFelipe/apted

828b3e3f4c053f7d35f0b55b0d5597e8041719ac

[ "MIT" ]

7

2017-12-17T16:49:45.000Z

2020-07-16T18:49:44.000Z

# # The MIT License # # Copyright 2017 Joao Felipe Pimentel # 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...

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0.192771

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null

0

null

0

1

0

cf8a7c68901bef8af36175c6396dc707d25c27e2

4,429

py

Python

Antics/AI/AIPlayer.py

sundercode/AI-Homework

423f703685852313bc127338f9cf6b4e862b898e

[ "MIT" ]

null

Antics/AI/AIPlayer.py

sundercode/AI-Homework

423f703685852313bc127338f9cf6b4e862b898e

[ "MIT" ]

null

Antics/AI/AIPlayer.py

sundercode/AI-Homework

423f703685852313bc127338f9cf6b4e862b898e

[ "MIT" ]

null

import random import sys sys.path.append("..") #so other modules can be found in parent dir from Player import * from Constants import * from Construction import CONSTR_STATS from Ant import UNIT_STATS from Move import Move from GameState import * from AIPlayerUtils import * ## #AIPlayer #Description: The responsbili...

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0

null

0

null

0

1

0

d8415d3e67ce2c47d7251854165bcf91208abf86

22,718

py

Python

pysnptools/util/mapreduce1/runner/hpc.py

fastlmm/PySnpTools

ce2ecaa5548e82b64c8ed6a205dbf419701b66b6

[ "Apache-2.0" ]

13

2019-12-23T06:51:08.000Z

2022-01-07T18:14:55.000Z

pysnptools/util/mapreduce1/runner/hpc.py

fastlmm/PySnpTools

ce2ecaa5548e82b64c8ed6a205dbf419701b66b6

[ "Apache-2.0" ]

3

2020-07-30T16:07:43.000Z

2021-07-14T09:00:42.000Z

pysnptools/util/mapreduce1/runner/hpc.py

fastlmm/PySnpTools

ce2ecaa5548e82b64c8ed6a205dbf419701b66b6

[ "Apache-2.0" ]

3

2020-05-22T09:46:16.000Z

2021-01-26T13:27:36.000Z

from pysnptools.util.mapreduce1.runner import * import os import subprocess, sys, os.path import multiprocessing import pysnptools.util as pstutil import pdb import logging try: import dill as pickle except: logging.warning("Can't import dill, so won't be able to clusterize lambda expressions. If you try, you'...

52.832558

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0.61832

2,752

22,718

4.950218

0.165334

0.026426

0.02048

0.017177

0.340527

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0.201864

0.173163

0.147618

0

0.013471

0.264812

22,718

429

266

52.955711

0.802179

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0.146974

0.002882

0

null

0

null

0

1

0

d8424bf36382d1072f3fbfbb2e4fabd3526822c8

496

py

Python

tests/formatters_test.py

MiraGeoscience/mirageoscience-apps

8c445ec8f2391349aa4cac6c705426301b3c31ca

[ "MIT" ]

1

2022-02-18T16:28:22.000Z

tests/formatters_test.py

nwilliams-kobold/geoapps

eb972321316a33628d8ae04613cc403a27d942ee

[ "MIT" ]

null

tests/formatters_test.py

nwilliams-kobold/geoapps

eb972321316a33628d8ae04613cc403a27d942ee

[ "MIT" ]

null

# Copyright (c) 2022 Mira Geoscience Ltd. # # This file is part of geoapps. # # geoapps is distributed under the terms and conditions of the MIT License # (see LICENSE file at the root of this source code package). import pytest from geoapps.utils.formatters import string_name def test_string_name(): char...

23.619048

75

0.681452

80

496

4.0375

0.6

0.123839

0.018576

0.024768

0.06192

0

0.010076

0.199597

496

20

76

24.8

0.803526

0.413306

0

0.282686

0

0.125

1

0.125

false

0

0.25

0

0.375

0

null

0

null

0

1

0

d8455d466c10af2e80eabb1b98ebf27274580915

5,992

py

Python

midonet/neutron/services/l2gateway/plugin.py

NeCTAR-RC/networking-midonet

7a69af3eab25f57e77738fd8398b6f4854346fd9

[ "Apache-2.0" ]

null

midonet/neutron/services/l2gateway/plugin.py

NeCTAR-RC/networking-midonet

7a69af3eab25f57e77738fd8398b6f4854346fd9

[ "Apache-2.0" ]

null

midonet/neutron/services/l2gateway/plugin.py

NeCTAR-RC/networking-midonet

7a69af3eab25f57e77738fd8398b6f4854346fd9

[ "Apache-2.0" ]

null

# Copyright (C) 2015 Midokura SARL # 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...

47.555556

79

0.691255

739

5,992

5.331529

0.301759

0.061675

0.08198

0.046701

0.374112

0.284264

0.236548

0.195939

0.148731

0

0.018157

0.255507

5,992

125

80

47.936

0.865053

0.315921

0

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false

0

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0

0.285714

0

null

0

null

0

1

0

d848f8dd8085e1bf86cb047117735a5685ffbd13

1,781

py

Python

setup.py

mcrowson/wunderpy2

a3a959d1a3569ccb0869adba10e671978609a697

[ "MIT" ]

null

setup.py

mcrowson/wunderpy2

a3a959d1a3569ccb0869adba10e671978609a697

[ "MIT" ]

null

setup.py

mcrowson/wunderpy2

a3a959d1a3569ccb0869adba10e671978609a697

[ "MIT" ]

null

from setuptools import setup, find_packages from codecs import open import os.path import sys script_dir = os.path.abspath(os.path.dirname(__file__)) def read(*paths): """Build a file path from *paths* and return the contents.""" with open(os.path.join(*paths), 'r') as f: return f.read() # argparse i...

36.346939

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0.112309

0.093441

0.048518

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0.021708

0.224031

1,781

48

96

37.104167

0.783647

0.137563

0

0.442408

0

0.006545

0

1

0.025

false

0

0.1

0

0.15

0

null

0

null

0

1

0

d8491385a7cb1fe2a3fcabf28f8d930e00a5e6f3

612

py

Python

mpos/web/manager.py

cackharot/ngen-milk-pos

4814bdbc6bddf02530ff10e1ec842fb316b0fa91

[ "Apache-2.0" ]

null

mpos/web/manager.py

cackharot/ngen-milk-pos

4814bdbc6bddf02530ff10e1ec842fb316b0fa91

[ "Apache-2.0" ]

null

mpos/web/manager.py

cackharot/ngen-milk-pos

4814bdbc6bddf02530ff10e1ec842fb316b0fa91

[ "Apache-2.0" ]

1

2019-04-24T06:11:47.000Z

# Set the path import os import sys from flask_script import Manager, Server sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '..'))) from web import app manager = Manager(app) # Turn on debugger by default and reloader manager.add_command("run", Server( use_debugger=True, use_reloade...

19.741935

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0.691176

92

612

4.391304

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0.069307

0.079208

0.252475

0

0.03373

0.176471

612

31

80

19.741935

0.767857

0.173203

0

0.065737

0

1

0

false

0

0.190476

0

0.190476

0

null

0

null

0

1

0

d84b963aacb5fb2dab3e77cf74727cfedec95c03

323

py

Python

setup.py

khsk/Python-App-Capture

a0b893765558f144399ec31f1f11fb0b30025cc7

[ "MIT" ]

null

setup.py

khsk/Python-App-Capture

a0b893765558f144399ec31f1f11fb0b30025cc7

[ "MIT" ]

null

setup.py

khsk/Python-App-Capture

a0b893765558f144399ec31f1f11fb0b30025cc7

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Created on Tue Oct 03 15:54:20 2017 @author: y-takeuchi """ from cx_Freeze import setup, Executable exe = Executable(script = 'capture.py', base = 'Win32Gui') setup(name = 'AppCapture', version = '0.1', description = 'Save Screen', executables = [ex...

17.944444

60

0.585139

39

323

4.820513

0.923077

0

0.07113

0.260062

323

18

61

17.944444

0.715481

0.244582

0

0.190909

0

1

0

false

0

0.166667

0

0.166667

0

null

0

null

0

1

0

d84bc5b6f7292dc9f40fd92ef12317fa084962da

2,731

py

Python

mosquitto-1.5.4/test/broker/08-ssl-bridge.py

RainaWLK/mqtt-test

cb4175c8bd1e35deed45941ca61c88fdcc6ddeba

[ "MIT" ]

null

mosquitto-1.5.4/test/broker/08-ssl-bridge.py

RainaWLK/mqtt-test

cb4175c8bd1e35deed45941ca61c88fdcc6ddeba

[ "MIT" ]

null

mosquitto-1.5.4/test/broker/08-ssl-bridge.py

RainaWLK/mqtt-test

cb4175c8bd1e35deed45941ca61c88fdcc6ddeba

[ "MIT" ]

1

2021-06-19T17:17:41.000Z

#!/usr/bin/env python import subprocess import socket import ssl import inspect, os, sys # From http://stackoverflow.com/questions/279237/python-import-a-module-from-a-folder cmd_subfolder = os.path.realpath(os.path.abspath(os.path.join(os.path.split(inspect.getfile( inspect.currentframe() ))[0],".."))) if cmd_subfol...

31.390805

168

0.680337

389

2,731

4.606684

0.383033

0.049107

0.027344

0.047433

0.061384

0.046875

0

0.021978

0.166972

2,731

86

169

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0.765714

0.038081

0

0.092308

0

0.125381

0.009527

0

1

0.015385

false

0.015385

0.076923

0

0.092308

0.015385

0

null

0

null

0

1

0

d84c3bb5b6974c0f95b489673269ce950a277333

8,658

py

Python

models/architecture/vaegan/trainer.py

EmmaNguyen/feature_adversarial_with_topology_signatures

efa7db6d0fdf5b2505d67d4341dcdb2ab05a97a7

[ "MIT" ]

1

2018-10-08T09:29:51.000Z

models/architecture/vaegan/trainer.py

EmmaNguyen/feature_adversarial_with_topology_signatures

efa7db6d0fdf5b2505d67d4341dcdb2ab05a97a7

[ "MIT" ]

4

2018-06-30T18:06:47.000Z

2018-08-16T02:01:59.000Z

models/architecture/vaegan/trainer.py

EmmaNguyen/feature_adversarial_with_topology_signatures

efa7db6d0fdf5b2505d67d4341dcdb2ab05a97a7

[ "MIT" ]

null

import numpy as np import torch import torch.nn.functional as F from torch.autograd import Variable from .distributions import rand_circle2d from ot import gromov_wasserstein2, unif def rand_projections(embedding_dim, num_samples=50): """This fn generates `L` random samples from the latent space's unit sphere. ...

46.299465

195

0.71125

1,096

8,658

5.443431

0.211679

0.073248

0.041904

0.029501

0.563024

0.521958

0.501341

0.488099

0.456252

0.422058

0

0.015604

0.208016

8,658

186

196

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0.854455

0.377916

0

0.227273

0

0.008641

0

1

0.125

false

0

0.079545

0.011364

0.329545

0.011364

0

null

0

null

0

1

0

d84cdf2cbca845f67fc205a391078d2af1f1badc

475

py

Python

image_action.py

abhishekchetani/ML_18june

4a6465259c7d0de0cbdc12c1c9f10dd6f925883d

[ "Apache-2.0" ]

null

image_action.py

abhishekchetani/ML_18june

4a6465259c7d0de0cbdc12c1c9f10dd6f925883d

[ "Apache-2.0" ]

null

image_action.py

abhishekchetani/ML_18june

4a6465259c7d0de0cbdc12c1c9f10dd6f925883d

[ "Apache-2.0" ]

null

#!/usr/bin/python import cv2 img = cv2.imread("/home/abhishek/Desktop/tracks.jpeg") cv2.line(img,(0,0),(236,236),(100,54,255),3) cv2.rectangle(img,(199,112),(325,238),(0,0,255),2) cv2.circle(img,(262,175),60,(255,200,0),3) font = cv2.FONT_HERSHEY_SIMPLEX cv2.putText(img,'TRAIN',(210,270),font,1,(90,200,140),cv2.LIN...

23.75

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0.661053

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475

3.839506

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0.057878

0.122187

0

0.189573

0.111579

475

19

66

25

0.547393

0.033684

0

0.172489

0.146288

0

1

0

false

0

0.090909

0

0.090909

0

null

0

null

0

1

0

d84e2e63426049e55a4ce07d524f85ba7b495330

14,662

py

Python

GMM_nDim3.py

Sharut/My-Hybrid-GMM-SVM-Model

68f0ab9b86dbb0ca3d1e63f2df0dcc4c7066e424

[ "MIT" ]

1

2019-06-07T13:22:57.000Z

GMM_nDim3.py

Sharut/My-Hybrid-GMM-SVM-Model

68f0ab9b86dbb0ca3d1e63f2df0dcc4c7066e424

[ "MIT" ]

null

GMM_nDim3.py

Sharut/My-Hybrid-GMM-SVM-Model

68f0ab9b86dbb0ca3d1e63f2df0dcc4c7066e424

[ "MIT" ]

1

2020-08-30T06:49:25.000Z

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Fri May 24 09:08:48 2019 @author: uiet_mac1 """ import numpy as np import random as rd import matplotlib.pyplot as plt from matplotlib.patches import Ellipse #import hungarian as hg def random_parameters(data, K): """ K is the number of gaussians""...

29.033663

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0.010003

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0

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0

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0.143382

0.066176

0

null

0

null

0

1

0

d854e1572c3ce2b3c51dea839fbb388e61fd565b

535

py

Python

li_hang/test/test_knn.py

LucienShui/HelloMachineLearning

b00a4b3791808ace3b1e45112350c2b3c539995e

[ "Apache-2.0" ]

2

2019-07-28T08:25:40.000Z

2019-07-29T05:29:10.000Z

li_hang/test/test_knn.py

LucienShui/HelloMachineLearning

b00a4b3791808ace3b1e45112350c2b3c539995e

[ "Apache-2.0" ]

null

li_hang/test/test_knn.py

LucienShui/HelloMachineLearning

b00a4b3791808ace3b1e45112350c2b3c539995e

[ "Apache-2.0" ]

null

import unittest import logging import numpy from knn import KNN class MyTestCase(unittest.TestCase): def test_something(self): logging.basicConfig() dataset = numpy.array([ [[5, 4], 1], [[9, 6], 1], [[4, 7], 1], [[2, 3], -1], [[8, 1], -1...

18.448276

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535

3.968254

0.492063

0.08

0.088

0

0.063401

0.351402

535

28

53

19.107143

0.657061

0

0.014953

0

0.05

1

0.05

false

0

0.2

0

0.3

0

null

0

null

0

1

0

d8560e6218ec99112b9cb038f1f87fe00535d31f

2,130

py

Python

src/taming.py

dwaybright/g729a_python

a9c78d9a6b2934c9742f63e3ade225fe4aee245e

[ "Unlicense" ]

null

src/taming.py

dwaybright/g729a_python

a9c78d9a6b2934c9742f63e3ade225fe4aee245e

[ "Unlicense" ]

null

src/taming.py

dwaybright/g729a_python

a9c78d9a6b2934c9742f63e3ade225fe4aee245e

[ "Unlicense" ]

null

from basic_op import * from ld8a import * from tab_ld8a import * L_exc_err = [0] * 4 def Init_exc_err() -> None: global L_exc_err for i in range(0, 4): L_exc_err[i] = MAX_INT_14 # Q14 def test_err(T0: int, T0_frac: int) -> int: """ # (o) flag set to 1 if taming is necessary # ...

21.958763

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2,130

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0.077304

0.047572

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0.288404

0

0.059942

0.357746

2,130

96

52

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0

0.387097

0

1

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false

0

0.048387

0

0.112903

0

null

0

null

0

1

0

d85ca52402346be7dfaf6277ede793e7a996a2e4

1,176

py

Python

db_create.py

abmorton/stockhawk

b5f4d188a8f9420898f2390b01741c87a17ebbbd

[ "MIT" ]

7

2015-11-11T22:55:49.000Z

2021-06-03T17:23:59.000Z

db_create.py

abmorton/stockhawk

b5f4d188a8f9420898f2390b01741c87a17ebbbd

[ "MIT" ]

null

db_create.py

abmorton/stockhawk

b5f4d188a8f9420898f2390b01741c87a17ebbbd

[ "MIT" ]

3

2016-01-19T02:23:14.000Z

2018-08-03T12:20:07.000Z

from app import db from models import * import datetime # create the db and tables db.create_all() # prepare data to insert year = 1982 month = 4 day = 3 birthday = datetime.date(year, month, day) now = datetime.datetime.now() today = datetime.date(now.year, now.month, now.day) yesterday = datetime.date(now.year, n...

21.381818

98

0.706633

182

1,176

4.56044

0.412088

0.108434

0.086747

0.045783

0.13494

0.06988

0

0.027723

0.141156

1,176

55

99

21.381818

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0.311224

0

0.173913

0

0.080301

0

1

0

false

0

0.130435

0

0.130435

0

null

0

null

0

1

0

d85fa73be967336630b8bccd9bd0353e0af7dd9d

879

py

Python

test/libraryData_BulkUpdates.py

masqu3rad3/tik_manager

59821670e87a2af753a59cc70924c5f0aad8ad51

[ "BSD-3-Clause" ]

26

2019-05-05T04:52:38.000Z

2022-01-27T19:25:27.000Z

test/libraryData_BulkUpdates.py

masqu3rad3/tik_manager

59821670e87a2af753a59cc70924c5f0aad8ad51

[ "BSD-3-Clause" ]

null

test/libraryData_BulkUpdates.py

masqu3rad3/tik_manager

59821670e87a2af753a59cc70924c5f0aad8ad51

[ "BSD-3-Clause" ]

5

2020-02-14T06:43:07.000Z

2021-08-13T09:58:44.000Z

from tik_manager import assetLibrary reload(assetLibrary) import pprint import time pathList = ["E:\\backup\\_CharactersLibrary", "E:\\backup\\_BalikKrakerAssetLibrary", "E:\\backup\\_AssetLibrary", "M:\\Projects\\_CharactersLibrary", "M:\\Projects\\_BalikKrakerAssetLibrary", "M:\\Projects\\_AssetLibrary"] for path in...

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null

0

null

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0

d862e5191af1e26ac32d9cdf7c011969df1241d6

997

py

Python

video_reader.py

evgenevolkov/Automated-car-tracker-and-plates-reader

5cee11b654bb8cfd20d081198af43b56811d2107

[ "MIT" ]

3

2020-10-15T14:32:36.000Z

2022-03-08T20:56:58.000Z

video_reader.py

evgenevolkov/Automated-car-tracker-and-plates-reader

5cee11b654bb8cfd20d081198af43b56811d2107

[ "MIT" ]

2

2022-02-09T23:51:20.000Z

2022-02-10T02:25:10.000Z

video_reader.py

evgenevolkov/Automated-car-tracker-and-plates-reader

5cee11b654bb8cfd20d081198af43b56811d2107

[ "MIT" ]

2

2021-04-07T11:56:20.000Z

2022-01-28T22:25:36.000Z

# import nesessary packages import cv2 import config DEBUG = config.DEBUG class Reader: def __init__(self, source): if DEBUG: print('[INFO, reader]: reader module loaded') # if source: self.vs = None self.set_source(source) # else: # print('[INFO, r...

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null

0

null

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0

d863b2417d20fc0b71005243f57ab636233f418d

2,605

py

Python

Harry_Poter_Cloak/harry_potter_cloak.py

SusovanGithub/SusovanGithub-OpenCV_projects

bff292a976e0e48c8b4094607878133e70395029

[ "MIT" ]

1

2021-05-18T15:49:54.000Z

Harry_Poter_Cloak/harry_potter_cloak.py

SusovanGithub/SusovanGithub-OpenCV_projects

bff292a976e0e48c8b4094607878133e70395029

[ "MIT" ]

null

Harry_Poter_Cloak/harry_potter_cloak.py

SusovanGithub/SusovanGithub-OpenCV_projects

bff292a976e0e48c8b4094607878133e70395029

[ "MIT" ]

null

import cv2 import numpy as np # function for the empty work def empty(a): pass # * creating the Window windowName = 'Color Detection in HSV Space' # Window Name cv2.namedWindow(windowName) # Window Creation # * Adding the Track pad cv2.createTrackbar('HUE min',windowName,0,179,empty) cv2....

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0

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0

null

0

null

0

1

0

d8644fc985adc50f63489cffe3bfe8417550597e

5,575

py

Python

autosrc.py

pwnwikiorg/AutoSRC

4cee92b2ae0e4f024059840a0b84d49f5e125e94

[ "MIT" ]

44

2021-07-12T05:45:47.000Z

2021-09-24T13:49:39.000Z

autosrc.py

mama2100/AutoSRC

4cee92b2ae0e4f024059840a0b84d49f5e125e94

[ "MIT" ]

null

autosrc.py

mama2100/AutoSRC

4cee92b2ae0e4f024059840a0b84d49f5e125e94

[ "MIT" ]

15

2021-07-12T05:48:25.000Z

2021-09-10T07:56:55.000Z

#!/usr/bin/python # -*- coding: utf-8 -*- import os import subprocess import requests import argparse import base64 import sys import json import codecs def dec_data(byte_data: bytes): try: return byte_data.decode('UTF-8') except UnicodeDecodeError: return byte_data.decode('GB1...

45.696721

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0.206434

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0

null

0

null

0

1

0

d8681174b4934ada560118e7c8363f5ba24fcfa0

4,263

py

Python

gym-kinova-gripper/Old Code/stuff.py

OSUrobotics/KinovaGrasping

f22af60d3683fdc4ffecf49ccff179fbc6750748

[ "Linux-OpenIB" ]

16

2020-05-16T00:40:31.000Z

2022-02-22T11:59:03.000Z

gym-kinova-gripper/Old Code/stuff.py

OSUrobotics/KinovaGrasping

f22af60d3683fdc4ffecf49ccff179fbc6750748

[ "Linux-OpenIB" ]

9

2020-08-10T08:33:55.000Z

2021-08-17T02:10:50.000Z

gym-kinova-gripper/Old Code/stuff.py

OSUrobotics/KinovaGrasping

f22af60d3683fdc4ffecf49ccff179fbc6750748

[ "Linux-OpenIB" ]

7

2020-07-27T09:45:05.000Z

2021-06-21T21:42:50.000Z

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Fri Dec 13 09:59:13 2019 @author: orochi """ import numpy as np import csv from classifier_network import LinearNetwork from classifier_network import ReducedLinearNetwork import torch import torch.nn as nn import torch.nn.functional as F import matplotlib....

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139

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null

0

null

0

1

0

d8693362b05650b4c1b31dbc4438c95cc27c7e7b

3,052

py

Python

src/app.py

davidkowalk/Kalaha

2b00fce97f5559c0527ec1c8addf3c488c46fccf

[ "MIT" ]

1

2021-06-19T16:08:52.000Z

src/app.py

davidkowalk/Kalaha

2b00fce97f5559c0527ec1c8addf3c488c46fccf

[ "MIT" ]

null

src/app.py

davidkowalk/Kalaha

2b00fce97f5559c0527ec1c8addf3c488c46fccf

[ "MIT" ]

null

from Board import Board, code_to_list from sys import argv def print_layout(): print("╔══╦══╦══╦══╦══╦══╦══╦══╗") print("║ ║ 6║ 5║ 4║ 3║ 2║ 1║ ║ <- Player 2") print("║ ╠══╬══╬══╬══╬══╬══╣ ║") print("║ ║ 1║ 2║ 3║ 4║ 5║ 6║ ║ <- Player 1") print("╚══╩══╩══╩══╩══╩══╩══╩══╝") def lpad(str, length...

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null

0

null

0

1

0

d8709d89acee40ccaac332ee9c01a0773827a0af

499

py

Python

python/arrays/0048-rotate-image.py

karolinyoliveira/leetcode-ebbinghaus-practice

5149e06f1c187b87e280fd58541c11d8ab8626d3

[ "MIT" ]

2

2021-05-28T03:41:39.000Z

2021-10-19T16:53:16.000Z

python/arrays/0048-rotate-image.py

karolinyoliveira/leetcode-ebbinghaus-practice

5149e06f1c187b87e280fd58541c11d8ab8626d3

[ "MIT" ]

null

python/arrays/0048-rotate-image.py

karolinyoliveira/leetcode-ebbinghaus-practice

5149e06f1c187b87e280fd58541c11d8ab8626d3

[ "MIT" ]

null

from typing import List def rotate(matrix: List[List[int]]) -> None: for layer in range(len(matrix) // 2): first = layer last = len(matrix) - layer - 1 for i in range(first, last): offset = i - first top = matrix[first][i] matrix[first][i] = matrix[last -...

35.642857

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0.541082

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499

4.21875

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0.088889

0.133333

0.325926

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0

0.005882

0.318637

499

13

71

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0.788235

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1

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0.166667

0

null

0

null

0

1

0

d87268d377955c1f6efb88d6ef67f9df1b77d9d4

6,279

py

Python

py-src/helper/img_transform.py

gabeoh/CarND-P01-LaneLines

5a35a7698f5a2efeff70d5537fedae366c1e51a0

[ "MIT" ]

null

py-src/helper/img_transform.py

gabeoh/CarND-P01-LaneLines

5a35a7698f5a2efeff70d5537fedae366c1e51a0

[ "MIT" ]

null

py-src/helper/img_transform.py

gabeoh/CarND-P01-LaneLines

5a35a7698f5a2efeff70d5537fedae366c1e51a0

[ "MIT" ]

null

import numpy as np import matplotlib.pyplot as plt import cv2 import math def grayscale(img): """Applies the Grayscale transform This will return an image with only one color channel but NOTE: to see the returned image as grayscale (assuming your grayscaled image is called 'gray') you should call ...

38.521472

104

0.672241

992

6,279

4.118952

0.25504

0.017621

0.010768

0.21488

0.174743

0.111601

0.09349

0.077827

0.063632

0

0.023372

0.236821

6,279

162

105

38.759259

0.829299

0.47842

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0.125

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0.140625

false

0.015625

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0

0.3125

0

null

0

null

0

1

0

d8794c7745220a34124f93774d760cb2a2e49b5f

1,581

py

Python

src/prepare_train_valid.py

partham16/demo_classification

d756ab150a1913c220f1048eda552483e88c01c1

[ "MIT" ]

null

src/prepare_train_valid.py

partham16/demo_classification

d756ab150a1913c220f1048eda552483e88c01c1

[ "MIT" ]

null

src/prepare_train_valid.py

partham16/demo_classification

d756ab150a1913c220f1048eda552483e88c01c1

[ "MIT" ]

null

from typing import List, Tuple import h2o import pandas as pd from sklearn.model_selection import train_test_split from .config import Config def get_train_valid(df: pd.DataFrame) -> Tuple[pd.DataFrame]: """Get train - valid - test""" full_train_df, test_df = train_test_split( df, test_size=...

28.745455

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4.486726

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0.069034

0.065089

0.04142

0.110454

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0

0.013699

0.215054

1,581

54

74

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0

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0

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0

0.268293

0

null

0

null

0

1

0

d87c366bf70803b5e5a62ba14bdd8953959d7029

419

py

Python

generate-text-replacements.py

clrcrl/tech-name-fixer

4d5ab36aa28a1e2912e02c5ea33a3f8af8d0e77b

[ "Apache-2.0" ]

null

generate-text-replacements.py

clrcrl/tech-name-fixer

4d5ab36aa28a1e2912e02c5ea33a3f8af8d0e77b

[ "Apache-2.0" ]

null

generate-text-replacements.py

clrcrl/tech-name-fixer

4d5ab36aa28a1e2912e02c5ea33a3f8af8d0e77b

[ "Apache-2.0" ]

null

import csv import plistlib as plist SOURCE_FILE = "tech-names.csv" snippets_array = [] with open(SOURCE_FILE, "rt") as csvfile: reader = csv.DictReader(csvfile) firstline = True for row in reader: snippets_array.append( {"phrase": row["correct_spelling"], "shortcut": row["common_missp...

23.277778

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54

419

5

0.592593

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0

0.210024

419

17

87

24.647059

0.81571

0

0.195704

0

1

0

false

0

0.153846

0

0.153846

0

null

0

null

0

1

0

d87dbe03e3d17cde827cd192191f97d4763ebc9a

4,524

py

Python

cjax/continuation/_perturbed_arc_len_continuation.py

harsh306/continuation-jax

c1452604558764df9cd4770130b60035eea5c5b3

[ "MIT" ]

2

2022-01-26T18:02:51.000Z

2022-02-15T01:36:39.000Z

cjax/continuation/_perturbed_arc_len_continuation.py

harsh306/continuation-jax

c1452604558764df9cd4770130b60035eea5c5b3

[ "MIT" ]

null

cjax/continuation/_perturbed_arc_len_continuation.py

harsh306/continuation-jax

c1452604558764df9cd4770130b60035eea5c5b3

[ "MIT" ]

1

2022-02-15T01:37:50.000Z

from cjax.continuation._arc_len_continuation import PseudoArcLenContinuation from cjax.continuation.states.state_variables import StateWriter from cjax.continuation.methods.predictor.secant_predictor import SecantPredictor from jax.experimental.optimizers import l2_norm from cjax.continuation.methods.corrector.perturbe...

36.192

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0.046875

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0.028571

0

null

0

null

0

1

0

d87e5d6a6c3a210e859a21073e4fe4f95aee7c09

1,345

py

Python

dependencytrack/bom.py

dmuse89/dependency-track-python

462d4a2b7ba5b1b1b0d0ea9066057872f5bd74bb

[ "CNRI-Python" ]

null

dependencytrack/bom.py

dmuse89/dependency-track-python

462d4a2b7ba5b1b1b0d0ea9066057872f5bd74bb

[ "CNRI-Python" ]

null

dependencytrack/bom.py

dmuse89/dependency-track-python

462d4a2b7ba5b1b1b0d0ea9066057872f5bd74bb

[ "CNRI-Python" ]

null

# SPDX-License-Identifier: GPL-2.0+ from .exceptions import DependencyTrackApiError class Bom: """Class dedicated to all "bom" related endpoints""" def upload_bom( self, file_name, project_id=None, project_name=None, project_version=None, auto_create=False, ...

29.888889

67

0.613383

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1,345

5.591549

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0.06801

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0.005314

0.300372

1,345

44

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0

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false

0

0.034483

0

0.137931

0

null

0

null

0

1

0

d87f974916d2df6ce93e6643e73f56fff02c54aa

1,895

py

Python

Contributors/IanDavis/ValidSentence.py

FergusDevelopmentLLC/Coders-Workshop

3513bd5f79eaa85b4d2a648c5f343a224842325d

[ "MIT" ]

33

2019-12-02T23:29:47.000Z

2022-03-24T02:40:36.000Z

Contributors/IanDavis/ValidSentence.py

FergusDevelopmentLLC/Coders-Workshop

3513bd5f79eaa85b4d2a648c5f343a224842325d

[ "MIT" ]

39

2020-01-15T19:28:12.000Z

2021-11-26T05:13:29.000Z

Contributors/IanDavis/ValidSentence.py

FergusDevelopmentLLC/Coders-Workshop

3513bd5f79eaa85b4d2a648c5f343a224842325d

[ "MIT" ]

49

2019-12-02T23:29:53.000Z

2022-03-03T01:11:37.000Z

"""By Ian Davis for Bootcampers Collective Coders Workshop on 2/19/20""" """ This program evaluates a string and determines if it its a real sentence """ validString = 'This is a valid sentence.' twoSpaces = "This isn't valid" firstCharacterNotCapitalized = 'not capitalized' containsProperNoun = 'Only the firs charac...

31.065574

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0.276596

0.191489

0

null

0

null

0

1

0

d87fb2cf3d6c3c5eaead08973e95a1d7f892f80b

1,269

py

Python

MirrorMirror/theme/TextBox.py

RubanSeven/MirrorMirror

47c7a1f458f87c536d068fcf249625f426920cc3

[ "Apache-2.0" ]

2

2021-07-07T13:21:11.000Z

2021-09-24T06:57:16.000Z

MirrorMirror/theme/TextBox.py

RubanSeven/MirrorMirror

47c7a1f458f87c536d068fcf249625f426920cc3

[ "Apache-2.0" ]

null

MirrorMirror/theme/TextBox.py

RubanSeven/MirrorMirror

47c7a1f458f87c536d068fcf249625f426920cc3

[ "Apache-2.0" ]

null

# -*- coding:utf-8 -*- """ @author: RubanSeven @project: MirrorMirror """ from PyQt5.QtWidgets import * class CodeTextEdit(QTextEdit): def __init__(self, *__args): super().__init__(*__args) self.setStyleSheet( """ QTextEdit { background-color: ...

24.403846

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0.408983

98

1,269

4.928571

0.438776

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0.068323

0.093168

0.362319

0.279503

0

0.085329

0.473601

1,269

51

52

24.882353

0.637725

0.050433

0

0.5625

0

1

0.1875

false

0

0.0625

0

0.4375

0

null

0

null

0

1

0

d8819ce394b5003e6d8376f1810f650835d534ec

1,429

py

Python

012getLncRNA_PMID.py

qiufengdiewu/LPInsider

92fcc2ad9e05cb634c4e3f1accd1220b984a027d

[ "Apache-2.0" ]

null

012getLncRNA_PMID.py

qiufengdiewu/LPInsider

92fcc2ad9e05cb634c4e3f1accd1220b984a027d

[ "Apache-2.0" ]

null

012getLncRNA_PMID.py

qiufengdiewu/LPInsider

92fcc2ad9e05cb634c4e3f1accd1220b984a027d

[ "Apache-2.0" ]

null

#!/usr/bin/python # -*- coding: UTF-8 -*- from Bio import Entrez import MySQLdb as mySQLDB Entrez.email="A.N.Other@example.com" def savePID(): returnCount=100000#每次可以最大返回十万条数据。 handle=Entrez.esearch(db="pubmed",term="lncRNA",RetMax=returnCount) ''' 这些参数值目前是够用的，但是不能保证以后一定可以。如果运行错误，则参照官网给出的...

34.02381

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0.028846

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34.02381

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0

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0.16

0

null

0

null

0

1

0

d8836803dce845ee19f76d28736903e2e7b8d35b

11,867

py

Python

scripts/generate_schema/worldbank/generate_worldbank_schema.py

liangmuxin/datamart

495a21588db39c9ad239409208bec701dca07f30

[ "MIT" ]

7

2018-10-02T01:32:23.000Z

2020-10-08T00:42:35.000Z

scripts/generate_schema/worldbank/generate_worldbank_schema.py

liangmuxin/datamart

495a21588db39c9ad239409208bec701dca07f30

[ "MIT" ]

47

2018-10-02T05:41:13.000Z

2021-02-02T21:50:31.000Z

scripts/generate_schema/worldbank/generate_worldbank_schema.py

liangmuxin/datamart

495a21588db39c9ad239409208bec701dca07f30

[ "MIT" ]

19

2018-10-01T22:27:20.000Z

2019-02-28T18:59:53.000Z

import os from argparse import ArgumentParser import requests import json import traceback LOCATIONS = [ "Aruba", "Afghanistan", "Africa", "Angola", "Albania", "Andorra", "Andean Region", "Arab World", "United Arab Emirates", "Argentina", "Armenia", "American Samoa", "Antigua and Barbuda", ...

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0.023625

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0.138096

0.088314

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0.24665

11,867

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null

0

null

0

1

0

d88413a8c6025245623ff27f30f5b74590dab51a

1,546

py

Python

examples/lineplots/devol.py

aengelke/z-plot

63e4e6656355b608487a3e4df5da13b7fad9b108

[ "BSD-3-Clause" ]

22

2016-10-19T15:02:22.000Z

2021-12-23T12:40:37.000Z

examples/lineplots/devol.py

aengelke/z-plot

63e4e6656355b608487a3e4df5da13b7fad9b108

[ "BSD-3-Clause" ]

4

2017-04-16T03:15:48.000Z

2020-10-28T11:36:35.000Z

examples/lineplots/devol.py

aengelke/z-plot

63e4e6656355b608487a3e4df5da13b7fad9b108

[ "BSD-3-Clause" ]

11

2017-01-18T02:41:57.000Z

2021-12-28T02:21:30.000Z

#! /usr/bin/env python from zplot import * import sys import sys ctype = 'eps' if len(sys.argv) < 2 else sys.argv[1] c = canvas(ctype, title='devol', dimensions=['400','340']) t = table(file='devol.data') t.addcolumns(['month','year']) t.update(set='month = substr(date, 1, 2)') t.update(set='year = substr(date, 4, 2...

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null

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null

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0

d88462214366d2d59a4aa76c3e990d20a7d331bd

4,208

py

Python

DLplatform/aggregating/geometric_median.py

chelseajohn/dlplatform

429e42c598039d1e9fd1df3da4247f391915a31b

[ "Apache-2.0" ]

5

2020-05-05T08:54:26.000Z

2021-02-20T07:36:28.000Z

DLplatform/aggregating/geometric_median.py

zagazao/dlplatform

ab32af8f89cfec4b478203bd5d13ce2d30e89ba7

[ "Apache-2.0" ]

1

2020-11-16T14:15:53.000Z

DLplatform/aggregating/geometric_median.py

zagazao/dlplatform

ab32af8f89cfec4b478203bd5d13ce2d30e89ba7

[ "Apache-2.0" ]

4

2020-05-05T08:56:57.000Z

2020-07-22T11:28:52.000Z

from DLplatform.aggregating import Aggregator from DLplatform.parameters import Parameters from typing import List import numpy as np from scipy.spatial.distance import cdist, euclidean class GeometricMedian(Aggregator): ''' Provides a method to calculate an averaged model from n individual models (using the ...

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null

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null

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0

d88610b31c7b5f25ebda49d4c2f961d36945c83b

4,670

py

Python

stock_price_predictor/app.py

abdullahtk/Stock-Market-Predictor

1e97d5d2c647912447b9db8eb548e52c0ad1fe8a

[ "MIT" ]

3

2019-07-25T22:41:38.000Z

2021-04-06T04:37:05.000Z

stock_price_predictor/app.py

abdullahtk/Stock-Market-Predictor

1e97d5d2c647912447b9db8eb548e52c0ad1fe8a

[ "MIT" ]

2

2019-07-13T15:36:06.000Z

2021-06-01T23:56:50.000Z

stock_price_predictor/app.py

abdullahtk/Stock-Market-Predictor

1e97d5d2c647912447b9db8eb548e52c0ad1fe8a

[ "MIT" ]

1

2019-07-25T22:42:03.000Z

from flask import Flask from flask import render_template, request, jsonify from source import StockPredictor as sp from source import ModelsParametersTunning as mpt from datetime import datetime import json from plotly.graph_objs import Scatter from pandas.tseries.offsets import BDay app = Flask(__name__) def insta...

33.357143

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4,670

5.107692

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0.033133

0.042169

0.02259

0.190136

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0.056476

0

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null

0

null

0

1

0

d88917a3681f54f58e6f0236e05d538383e5fe13

1,100

py

Python

src/unittest/python/modules/processing/filter_lt_tests.py

FHNW-CyberCaptain/CyberCaptain

07c989190e997353fbf57eb7a386947d6ab8ffd5

[ "MIT" ]

1

2018-10-01T10:59:55.000Z

src/unittest/python/modules/processing/filter_lt_tests.py

FHNW-CyberCaptain/CyberCaptain

07c989190e997353fbf57eb7a386947d6ab8ffd5

[ "MIT" ]

null

src/unittest/python/modules/processing/filter_lt_tests.py

FHNW-CyberCaptain/CyberCaptain

07c989190e997353fbf57eb7a386947d6ab8ffd5

[ "MIT" ]

1

2021-11-01T00:09:00.000Z

import unittest from cybercaptain.processing.filter import processing_filter class ProcessingFilterLTTest(unittest.TestCase): """ Test the filters for LT """ def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) arguments = {'src': '.', 'filterby':...

32.352941

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0.579091

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1,100

5.37069

0.37931

0.179775

0.128411

0.141252

0.433387

0.327448

0.260032

0

0.019133

0.287273

1,100

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0

0.375

0

null

0

null

0

1

0

d889b29c8ab7230fa4821ccc373f7fe3a359f78f

6,129

py

Python

src/data/clean.py

samatix/ml-asset-managers

27c9c0b3f67fd0350e80c5fb2729e64a13dccbb8

[ "Apache-2.0" ]

2

2022-01-01T11:06:22.000Z

2022-02-19T03:19:18.000Z

src/data/clean.py

samatix/ml-asset-managers

27c9c0b3f67fd0350e80c5fb2729e64a13dccbb8

[ "Apache-2.0" ]

null

src/data/clean.py

samatix/ml-asset-managers

27c9c0b3f67fd0350e80c5fb2729e64a13dccbb8

[ "Apache-2.0" ]

2

2020-08-15T05:38:49.000Z

2022-03-05T07:31:11.000Z

import logging import numpy as np import pandas as pd from sklearn.neighbors.kde import KernelDensity from scipy.optimize import minimize from src.utils import cov2corr class MarcenkoPastur: def __init__(self, points=1000): """ Marcenko-Pastur :param points: :type points: int ...

33.309783

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6,129

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0

0.287129

0

null

0

null

0

1

0

d88d295ec1717480689aae0ec07ffd4cad0afd39

530

py

Python

saleor/core/emails.py

cleobuck/krolocosmetics

4ae97601a18461323606d6e22673bb38cbaa6272

[ "CC-BY-4.0" ]

2

2019-12-04T19:43:51.000Z

2020-07-06T09:56:04.000Z

saleor/core/emails.py

cleobuck/krolocosmetics

4ae97601a18461323606d6e22673bb38cbaa6272

[ "CC-BY-4.0" ]

11

2021-02-02T22:34:37.000Z

2022-02-10T20:20:50.000Z

saleor/core/emails.py

cleobuck/krolocosmetics

4ae97601a18461323606d6e22673bb38cbaa6272

[ "CC-BY-4.0" ]

null

from django.contrib.sites.models import Site from django.templatetags.static import static from ..core.utils import build_absolute_uri def get_email_context(): site: Site = Site.objects.get_current() logo_url = build_absolute_uri(static("images/logo-light.jpg")) send_email_kwargs = {"from_email": site.se...

31.176471

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0.167925

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0

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0.076923

false

0

0.230769

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0.384615

0

null

0

null

0

1

0

d88fb1b1d25ac7b6d5954cd96c458c9d471fb3b6

4,109

py

Python

inb/tests/test_linkedin/test_driver.py

JoshiAyush/LinkedIn-Automator

6341867fb9bb974ecfe388d90d1860e9c85a3b3c

[ "MIT" ]

1

2021-01-05T17:29:02.000Z

inb/tests/test_linkedin/test_driver.py

JoshiAyush/LinkedIn-Automator

6341867fb9bb974ecfe388d90d1860e9c85a3b3c

[ "MIT" ]

null

inb/tests/test_linkedin/test_driver.py

JoshiAyush/LinkedIn-Automator

6341867fb9bb974ecfe388d90d1860e9c85a3b3c

[ "MIT" ]

null

# MIT License # # Copyright (c) 2019 Creative Commons # # 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, modify, me...

40.683168

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null

0

null

0

1

0

d895cb920f81b7b33316df8ee7c07eb1ad364352

3,037

py

Python

example-tests/example_Grid.py

Indomerun/pyHiChi

fdceb238dfed6433ee350d5c593ca5e2cd4fbd2b

[ "MIT" ]

11

2019-08-22T12:47:40.000Z

2022-01-28T16:07:29.000Z

example-tests/example_Grid.py

Indomerun/pyHiChi

fdceb238dfed6433ee350d5c593ca5e2cd4fbd2b

[ "MIT" ]

14

2019-09-02T08:24:55.000Z

2022-02-14T11:40:43.000Z

example-tests/example_Grid.py

Indomerun/pyHiChi

fdceb238dfed6433ee350d5c593ca5e2cd4fbd2b

[ "MIT" ]

9

2019-07-31T13:25:20.000Z

2022-01-28T16:07:45.000Z

import sys sys.path.append("../bin/") import pyHiChi as hichi import numpy as np def valueE(x, y, z): E = hichi.Vector3d(0, np.cos(z), 0) #sin(x) return E def valueEx(x, y, z): Ex = 0 return Ex def valueEy(x, y, z): Ey = np.cos(z) return Ey def valueEz(x, y, z): Ez = 0 return Ez de...

24.103175

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