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2071c235fe5a9244e9a04e8a1327c9effcfe5b93 | 1,649 | py | Python | rating/__init__.py | thegreenwebfoundation/green-spider | 68f22886178bbe5b476a4591a6812ee25cb5651b | [
"Apache-2.0"
] | 19 | 2018-04-20T11:03:41.000Z | 2022-01-12T20:58:56.000Z | rating/__init__.py | thegreenwebfoundation/green-spider | 68f22886178bbe5b476a4591a6812ee25cb5651b | [
"Apache-2.0"
] | 160 | 2018-04-05T16:12:59.000Z | 2022-03-01T13:01:27.000Z | rating/__init__.py | thegreenwebfoundation/green-spider | 68f22886178bbe5b476a4591a6812ee25cb5651b | [
"Apache-2.0"
] | 8 | 2018-11-05T13:07:57.000Z | 2021-06-11T11:46:43.000Z | """
The rating module contains the functionality to get calculate score for certain
criteria based on information gather by checks before.
"""
import logging
from rating import canonical_url
from rating import contact_link
from rating import favicon
from rating import feeds
from rating import https
from rating import... | 27.483333 | 79 | 0.729533 |
45a02f33302c0767f60b774f68f87b8b49b0c476 | 518 | py | Python | Beginner/03. Python/Computer Graphics Algos/DDA.py | ankita080208/Hacktoberfest | 2be849e89285260e7b6672f42979943ad6bbec78 | [
"MIT"
] | 3 | 2021-03-16T16:44:04.000Z | 2021-06-07T17:32:51.000Z | Beginner/03. Python/Computer Graphics Algos/DDA.py | ankita080208/Hacktoberfest | 2be849e89285260e7b6672f42979943ad6bbec78 | [
"MIT"
] | null | null | null | Beginner/03. Python/Computer Graphics Algos/DDA.py | ankita080208/Hacktoberfest | 2be849e89285260e7b6672f42979943ad6bbec78 | [
"MIT"
] | 2 | 2020-10-12T15:58:02.000Z | 2020-10-20T05:31:11.000Z | #DDA Algo
#from graphics import *
win = GraphWin("CG Algorithms", 600, 600)
#text
label = Text(Point(290, 24), 'DDA Line Algo')
label.setSize(24)
label.draw(win)
#Input points
print("Enter x1, y1, x2, y2 - ")
x0 = int(input())
y0 = int(input())
x1 = int(input())
y1 = int(input())
dx = x1 - x0
dy = y1 - y0
steps =... | 14 | 45 | 0.590734 |
45b7934e6bec93014706c97e9e07e7343722be7f | 1,010 | py | Python | Python/pandas/15_pivot_reshaping.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | Python/pandas/15_pivot_reshaping.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | Python/pandas/15_pivot_reshaping.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | import numpy as np
import pandas as pd
df = pd.DataFrame({
"group": ['cat', 'dog', 'cat', 'cat', 'dog'],
"group2": ['a', 'a', 'b', 'c', 'b'],
"A": ['a', 'b', 'c', 'd', 'x'],
"B": ['e', 'f', 'g', 'h', 'y'],
"C": np.random.randn(5),
})
# PivotTable
#! Achtung doppelte Indizes nicht erlaubt
# Values ... | 24.047619 | 84 | 0.545545 |
b32717343495dad169ecdc04d743ac6b8ccde520 | 6,020 | py | Python | research/cv/siamRPN/src/tracker.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | research/cv/siamRPN/src/tracker.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | research/cv/siamRPN/src/tracker.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 24 | 2021-10-15T08:32:45.000Z | 2022-03-24T18:45:20.000Z | # Copyright 2021 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 44.592593 | 115 | 0.581063 |
2fb4bceb127d2e9831ab4ddba3b1b08fe66f2726 | 785 | py | Python | ev3/sysroot/home/robot/roborinth/app/testMqtt.py | icebear8/roboRinth | c0789a9faf978f31b0ed020d26fee2b04fb298ee | [
"MIT"
] | null | null | null | ev3/sysroot/home/robot/roborinth/app/testMqtt.py | icebear8/roboRinth | c0789a9faf978f31b0ed020d26fee2b04fb298ee | [
"MIT"
] | null | null | null | ev3/sysroot/home/robot/roborinth/app/testMqtt.py | icebear8/roboRinth | c0789a9faf978f31b0ed020d26fee2b04fb298ee | [
"MIT"
] | 1 | 2019-10-22T07:47:51.000Z | 2019-10-22T07:47:51.000Z | #!/usr/bin/env python3
from classes.SimpleMqtt import SimpleMqtt
from classes.JsonConfig import loadJsonFile
configFile = '../config/config.json'
def main():
print("test mqtt")
config = loadJsonFile(configFile)
mqtt = SimpleMqtt(config['mqtt'], config['robot']['id'])
def echoMessage(topic, payload):
print('ec... | 25.322581 | 74 | 0.746497 |
ff95621d6c854910a967ce735fe067c9b05bb852 | 611 | py | Python | 20-fs-ias-lec/groups/06-longFi/localEther/sendEtherTest.py | Kyrus1999/BACnet | 5be8e1377252166041bcd0b066cce5b92b077d06 | [
"MIT"
] | 8 | 2020-03-17T21:12:18.000Z | 2021-12-12T15:55:54.000Z | 20-fs-ias-lec/groups/06-longFi/localEther/sendEtherTest.py | Kyrus1999/BACnet | 5be8e1377252166041bcd0b066cce5b92b077d06 | [
"MIT"
] | 2 | 2021-07-19T06:18:43.000Z | 2022-02-10T12:17:58.000Z | 20-fs-ias-lec/groups/06-longFi/localEther/sendEtherTest.py | Kyrus1999/BACnet | 5be8e1377252166041bcd0b066cce5b92b077d06 | [
"MIT"
] | 25 | 2020-03-20T09:32:45.000Z | 2021-07-18T18:12:59.000Z | '''
sendEther.py
Faris Ahmetasevic, Marco Banholzer, Nderim Shatri
This code sends raw ethernet packets to a network by using the scapy library.
'''
from scapy.all import sendp, Raw
from scapy.layers.l2 import Ether
from scapy.all import hexdump
import sys
import time
x = hex(3)
packet = x
ether = Ether(type=0x70... | 20.366667 | 87 | 0.733224 |
80ff5c77128dd0645f8ecdeededb123c325410cd | 2,707 | py | Python | test/test_npu/test_network_ops/test_upsample_nearest2d_backward.py | Ascend/pytorch | 39849cf72dafe8d2fb68bd1679d8fd54ad60fcfc | [
"BSD-3-Clause"
] | 1 | 2021-12-02T03:07:35.000Z | 2021-12-02T03:07:35.000Z | test/test_npu/test_network_ops/test_upsample_nearest2d_backward.py | Ascend/pytorch | 39849cf72dafe8d2fb68bd1679d8fd54ad60fcfc | [
"BSD-3-Clause"
] | 1 | 2021-11-12T07:23:03.000Z | 2021-11-12T08:28:13.000Z | test/test_npu/test_network_ops/test_upsample_nearest2d_backward.py | Ascend/pytorch | 39849cf72dafe8d2fb68bd1679d8fd54ad60fcfc | [
"BSD-3-Clause"
] | null | null | null | # Copyright (c) 2020, Huawei Technologies.All rights reserved.
#
# Licensed under the BSD 3-Clause License (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://opensource.org/licenses/BSD-3-Clause
#
# Unless required by applicable law... | 42.296875 | 89 | 0.631696 |
a67bdc9a57b92a560411e60c49a32c143d470f23 | 1,089 | py | Python | src/test/tests/plugins/operatorsVsInstall.py | visit-dav/vis | c08bc6e538ecd7d30ddc6399ec3022b9e062127e | [
"BSD-3-Clause"
] | 226 | 2018-12-29T01:13:49.000Z | 2022-03-30T19:16:31.000Z | src/test/tests/plugins/operatorsVsInstall.py | visit-dav/vis | c08bc6e538ecd7d30ddc6399ec3022b9e062127e | [
"BSD-3-Clause"
] | 5,100 | 2019-01-14T18:19:25.000Z | 2022-03-31T23:08:36.000Z | src/test/tests/plugins/operatorsVsInstall.py | visit-dav/vis | c08bc6e538ecd7d30ddc6399ec3022b9e062127e | [
"BSD-3-Clause"
] | 84 | 2019-01-24T17:41:50.000Z | 2022-03-10T10:01:46.000Z | # ----------------------------------------------------------------------------
# CLASSES: nightly
#
# Test Case: operatorsVsInstall.py
#
# Tests: Building operator plugins against an installed version of VisIt
#
#
# Programmer: Kathleen Biagas
# Date: November 8, 2018
#
# Modificat... | 37.551724 | 112 | 0.599633 |
75024ee4dd5eb5b41a52477e5baf05ba52ac5312 | 3,268 | py | Python | SVMSift.py | saikat-d/DIP2018-Midterm | 06c3a74ae4fefc2ec6d47d970bf86ab8062df1bf | [
"BSD-2-Clause"
] | null | null | null | SVMSift.py | saikat-d/DIP2018-Midterm | 06c3a74ae4fefc2ec6d47d970bf86ab8062df1bf | [
"BSD-2-Clause"
] | null | null | null | SVMSift.py | saikat-d/DIP2018-Midterm | 06c3a74ae4fefc2ec6d47d970bf86ab8062df1bf | [
"BSD-2-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Sun Sep 30 12:22:06 2018
@author: Saikat
"""
import numpy as np
import cv2
from cv2 import ml
from matplotlib import pyplot as plt
from sklearn.metrics import roc_curve, auc
from os.path import isfile,join
DB_path = 'images\\SVM\\train\\'
TEST_path = 'images\\SVM\\tes... | 28.417391 | 69 | 0.623929 |
341c8745eea43f050a66103e798ceb91ba7dfdb1 | 2,030 | py | Python | Python/numpy/np_vector.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | Python/numpy/np_vector.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | Python/numpy/np_vector.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | import numpy as np
X = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10])
Y = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10])
print(42 + X)
print(42 * X)
print(2 ** X)
print(f"X + Y: {X + Y}")
print(f"X * Y: {X * Y}")
# Matrizen
X = np.array(
[
[1, 2, 3],
[4, 5, 6],
[7, 8, 9],
]
)
Y = np.array(
... | 20.09901 | 81 | 0.536946 |
cad158bf92e8501209c95937b876059d7fd0e42f | 1,267 | py | Python | tradingbot/core/bot.py | stefaniuk/trading-bot | 403abd2b53caf686a6d2456e7eab124c670e7340 | [
"MIT"
] | 3 | 2018-05-10T13:51:42.000Z | 2020-07-05T16:43:45.000Z | tradingbot/core/bot.py | stefaniuk/trading-bot | 403abd2b53caf686a6d2456e7eab124c670e7340 | [
"MIT"
] | null | null | null | tradingbot/core/bot.py | stefaniuk/trading-bot | 403abd2b53caf686a6d2456e7eab124c670e7340 | [
"MIT"
] | 1 | 2020-04-22T09:06:17.000Z | 2020-04-22T09:06:17.000Z | from tradingAPI import API
from getpass import getpass
from .color import *
from .config import Configurer
from .algorithm import *
class Bot(object):
def __init__(self):
self.api = API()
self.config = Configurer("data.ini")
self.pivot = Pivot(self.api, self.config)
def conf(self):
... | 36.2 | 65 | 0.546172 |
1b4825e884ee448679fe43e667c92267ac70e27d | 416 | py | Python | gestionTomaDatos/migrations/0002_auto_20210116_2025.py | AnuTor/UniNeuroLab | 5825f440d4663650f038083f3da05229cc5ada4f | [
"Apache-2.0"
] | 1 | 2021-01-09T01:20:45.000Z | 2021-01-09T01:20:45.000Z | gestionTomaDatos/migrations/0002_auto_20210116_2025.py | AnuTor/UniNeuroLab | 5825f440d4663650f038083f3da05229cc5ada4f | [
"Apache-2.0"
] | 1 | 2021-01-09T00:53:55.000Z | 2021-01-09T00:53:55.000Z | gestionTomaDatos/migrations/0002_auto_20210116_2025.py | AnuTor/UniNeuroLab | 5825f440d4663650f038083f3da05229cc5ada4f | [
"Apache-2.0"
] | 1 | 2021-01-07T23:57:28.000Z | 2021-01-07T23:57:28.000Z | # Generated by Django 2.2.17 on 2021-01-16 20:25
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('gestionTomaDatos', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='participantes',
name='email... | 21.894737 | 75 | 0.612981 |
8476b6a4824a0d65fd7b51222719b8fef4e8874f | 6,493 | py | Python | src/test/tests/operators/threshold.py | visit-dav/vis | c08bc6e538ecd7d30ddc6399ec3022b9e062127e | [
"BSD-3-Clause"
] | 226 | 2018-12-29T01:13:49.000Z | 2022-03-30T19:16:31.000Z | src/test/tests/operators/threshold.py | visit-dav/vis | c08bc6e538ecd7d30ddc6399ec3022b9e062127e | [
"BSD-3-Clause"
] | 5,100 | 2019-01-14T18:19:25.000Z | 2022-03-31T23:08:36.000Z | src/test/tests/operators/threshold.py | visit-dav/vis | c08bc6e538ecd7d30ddc6399ec3022b9e062127e | [
"BSD-3-Clause"
] | 84 | 2019-01-24T17:41:50.000Z | 2022-03-10T10:01:46.000Z | # ----------------------------------------------------------------------------
# CLASSES: nightly
#
# Test Case: threshold.py
#
# Tests: mesh - 3D unstructured, single domain,
# 3D rectilinear, multiple domain,
# 2D curvilinear, multiple domain
# ... | 23.610909 | 78 | 0.710611 |
849207911c51fff559fb7f19f9cb9e5aa7ad47e2 | 2,017 | py | Python | app/t1health_app/static/fusioncharts-suite-xt/integrations/django/samples/fusioncharts/samples/chart_update_onclick.py | siyaochen/Tier1Health | 536591a7534bbb3fb27fe889bfed9de152ec1864 | [
"MIT"
] | 14 | 2016-11-03T19:06:21.000Z | 2021-11-24T09:05:09.000Z | app/t1health_app/static/fusioncharts-suite-xt/integrations/django/samples/fusioncharts/samples/chart_update_onclick.py | siyaochen/Tier1Health | 536591a7534bbb3fb27fe889bfed9de152ec1864 | [
"MIT"
] | 10 | 2022-02-16T07:17:49.000Z | 2022-03-08T12:43:51.000Z | asset/integrations/django/samples/fusioncharts/samples/chart_update_onclick.py | Piusshungu/catherine-junior-school | 5356f4ff5a5c8383849d32e22a60d638c35b1a48 | [
"MIT"
] | 17 | 2016-05-19T13:16:34.000Z | 2021-04-30T14:38:42.000Z | from django.shortcuts import render
from django.http import HttpResponse
# Include the `fusioncharts.py` file which has required functions to embed the charts in html page
from ..fusioncharts import FusionCharts
# Loading Data from a Static JSON String
# It is a example to show a Column 2D chart where data is passed ... | 41.163265 | 168 | 0.554784 |
ca5a7c402119c4a030cb719aae478ae5e5f53aa8 | 1,341 | py | Python | migrations/versions/62e071b0da50_.py | DanielGrams/gsevp | e94034f7b64de76f38754b56455e83092378261f | [
"MIT"
] | 1 | 2021-06-01T14:49:18.000Z | 2021-06-01T14:49:18.000Z | migrations/versions/62e071b0da50_.py | DanielGrams/gsevp | e94034f7b64de76f38754b56455e83092378261f | [
"MIT"
] | 286 | 2020-12-04T14:13:00.000Z | 2022-03-09T19:05:16.000Z | migrations/versions/62e071b0da50_.py | DanielGrams/gsevpt | a92f71694388e227e65ed1b24446246ee688d00e | [
"MIT"
] | null | null | null | """empty message
Revision ID: 62e071b0da50
Revises: dcd0b71650b0
Create Date: 2020-07-30 13:13:44.694716
"""
import sqlalchemy as sa
import sqlalchemy_utils
from alembic import op
from project import dbtypes
# revision identifiers, used by Alembic.
revision = "62e071b0da50"
down_revision = "dcd0b71650b0"
branch_lab... | 27.9375 | 86 | 0.680089 |
edf02fa2a513ecd992bf773828aef2b065225acd | 30,804 | py | Python | tests/onegov/ballot/models/test_vote.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/ballot/models/test_vote.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/ballot/models/test_vote.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | from datetime import date
from freezegun import freeze_time
from onegov.ballot import Ballot
from onegov.ballot import BallotResult
from onegov.ballot import ComplexVote
from onegov.ballot import Vote
def test_vote(session):
vote = Vote(
title="Universal Healthcare",
domain='federation',
d... | 27.284322 | 78 | 0.574601 |
94af1436edb56b31d321470bf77eda5a654ddbbe | 799 | py | Python | algorithms/ar-isrt/python3/insertion_sort.py | NuclearCactus/FOSSALGO | eb66f3bdcd6c42c66e8fc7110a32ac021596ca66 | [
"MIT"
] | 59 | 2018-09-11T17:40:25.000Z | 2022-03-03T14:40:39.000Z | algorithms/ar-isrt/python3/insertion_sort.py | RitvikDayal/FOSSALGO | ae225a5fffbd78d0dff83fd7b178ba47bfd7a769 | [
"MIT"
] | 468 | 2018-08-28T17:04:29.000Z | 2021-12-03T15:16:34.000Z | algorithms/ar-isrt/python3/insertion_sort.py | RitvikDayal/FOSSALGO | ae225a5fffbd78d0dff83fd7b178ba47bfd7a769 | [
"MIT"
] | 253 | 2018-08-28T17:08:51.000Z | 2021-11-01T12:30:39.000Z | def insertion_sort(array):
if not array or len(array) == 1: return array # the inputted array has nothing inside or has one element
sorted_list = []
for item in array: # looping through the main array
# iterating through the list and comparing each item
for i in sorted_list: # comparing eve... | 34.73913 | 129 | 0.64831 |
78180e882cb43b76bbb488e598c936137024a18f | 1,812 | py | Python | code/examples/Events.py | SaschaMzH/hucon | 830b6c5e21c2c7316c61e8afdf708066374b9b62 | [
"BSD-3-Clause"
] | 2 | 2019-09-25T13:39:22.000Z | 2019-09-26T10:06:13.000Z | code/examples/Events.py | SaschaMzH/hucon | 830b6c5e21c2c7316c61e8afdf708066374b9b62 | [
"BSD-3-Clause"
] | 44 | 2019-09-25T14:35:48.000Z | 2021-08-20T17:26:12.000Z | code/examples/Events.py | SaschaMzH/hucon | 830b6c5e21c2c7316c61e8afdf708066374b9b62 | [
"BSD-3-Clause"
] | 8 | 2019-09-25T13:53:07.000Z | 2022-02-24T19:23:44.000Z | """ Register four events into the event system and run an endless loop to catch all.
Register also a fifth callback to call the stop function of the event system.
Set an eye on every callback to show the event catch.
Copyright (C) 2019 Basler AG
All rights reserved.
This software may be modified a... | 22.936709 | 84 | 0.676049 |
7865eb74917ae485480c397670808e65675e7901 | 1,946 | py | Python | virtex-master/virtex.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | 2 | 2021-11-17T03:35:03.000Z | 2021-12-08T06:00:31.000Z | virtex-master/virtex.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | null | null | null | virtex-master/virtex.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | 2 | 2021-11-05T18:07:48.000Z | 2022-02-24T21:25:07.000Z | # Author: Rizky
# github: https://github.com/hekelpro
"""
Mau ngapain kontol?
Ganti author? ganti logo?
lemah lu tolol, buat sendiri ngapa
"""
import requests as r
import os
clear = lambda : os.system('clear')
def unduh(link, out):
print '! Sedang Mengunduh...'
a = r.get(link)
with open(out+'.txt', 'wb') as sv:
... | 29.938462 | 127 | 0.683453 |
01d90efe8d018d4bbe870e0d75083fd1b5d47cc6 | 7,167 | py | Python | model.py | saliAlavi/SegAN | 2b1ec5003e523a883ea9ae123765da1a529676f9 | [
"MIT"
] | 1 | 2022-01-17T18:08:01.000Z | 2022-01-17T18:08:01.000Z | model.py | saliAlavi/SegAN | 2b1ec5003e523a883ea9ae123765da1a529676f9 | [
"MIT"
] | null | null | null | model.py | saliAlavi/SegAN | 2b1ec5003e523a883ea9ae123765da1a529676f9 | [
"MIT"
] | 2 | 2020-07-31T07:15:40.000Z | 2022-02-27T11:09:12.000Z | import torch.nn.functional as F
import torch.nn as nn
import torch
from math import sqrt
LEAKAGE = 0.001
class GConvBlock(nn.Module):
def __init__(self, in_dim, out_dim, kernel_size):
super(GConvBlock, self).__init__()
pad0 = (kernel_size[0] - 1) / 2
pad1 = (kernel_size[1] - 1) / 2
... | 37.721053 | 102 | 0.558114 |
179bd6041d74c3cc213f50199c88c2346f25ee1b | 2,977 | py | Python | WiSe-2122/Wiederholung/Gruppe-A/Wiederholung-komplett.py | jonasrdt/Wirtschaftsinformatik2 | 30d5d896808b98664c55cb6fbb3b30a7f1904d9f | [
"MIT"
] | 1 | 2022-03-23T09:40:39.000Z | 2022-03-23T09:40:39.000Z | WiSe-2122/Wiederholung/Gruppe-A/Wiederholung-komplett.py | jonasrdt/Wirtschaftsinformatik2 | 30d5d896808b98664c55cb6fbb3b30a7f1904d9f | [
"MIT"
] | null | null | null | WiSe-2122/Wiederholung/Gruppe-A/Wiederholung-komplett.py | jonasrdt/Wirtschaftsinformatik2 | 30d5d896808b98664c55cb6fbb3b30a7f1904d9f | [
"MIT"
] | null | null | null | # Entwickeln Sie ein Programm, welches eine Einkaufsliste erstellt.
# Der Nutzer soll die Möglichkeit haben, Waren und deren Menge zu der Einkaufsliste hinzuzufügen.
# Ist die Ware bereits auf der Einkaufsliste vorhanden, so soll dies zuerst ausgegeben und gefragt werden,
# ob die Menge geändert werden soll.
# Variabl... | 39.693333 | 176 | 0.695331 |
e5aa779cab02dc7f871586d914d48e189f68b53f | 4,557 | py | Python | backend/apps/accounts/db_stats.py | match4healthcare/match4healthcare | acf69e3b781d715f0a947c2a9df6646e94f1ca6b | [
"MIT"
] | 2 | 2020-03-28T13:56:39.000Z | 2020-03-29T10:16:12.000Z | backend/apps/accounts/db_stats.py | match4healthcare/match4healthcare | acf69e3b781d715f0a947c2a9df6646e94f1ca6b | [
"MIT"
] | 76 | 2020-03-27T21:53:04.000Z | 2020-03-30T20:27:43.000Z | backend/apps/accounts/db_stats.py | match4healthcare/match4healthcare | acf69e3b781d715f0a947c2a9df6646e94f1ca6b | [
"MIT"
] | null | null | null | import datetime
from django.db.models import Count
from django.utils.translation import gettext_lazy as _
from apps.iamstudent.forms import form_labels
from apps.iamstudent.models import AUSBILDUNGS_TYPEN_COLUMNS, EmailToHospital, EmailToSend, Student
from apps.ineedstudent.models import Hospital
from .models import... | 35.053846 | 100 | 0.657889 |
c10ad3ce5f8c6b513a3a6fb5d03ae0165bd97ae5 | 871 | py | Python | extender/launcher/conanfile.py | gifted-nguvu/darkstar-dts-converter | aa17a751a9f3361ca9bbb400ee4c9516908d1297 | [
"MIT"
] | 2 | 2020-03-18T18:23:27.000Z | 2020-08-02T15:59:16.000Z | extender/launcher/conanfile.py | gifted-nguvu/darkstar-dts-converter | aa17a751a9f3361ca9bbb400ee4c9516908d1297 | [
"MIT"
] | 5 | 2019-07-07T16:47:47.000Z | 2020-08-10T16:20:00.000Z | extender/launcher/conanfile.py | gifted-nguvu/darkstar-dts-converter | aa17a751a9f3361ca9bbb400ee4c9516908d1297 | [
"MIT"
] | 1 | 2020-03-18T18:23:30.000Z | 2020-03-18T18:23:30.000Z | from conans import ConanFile, CMake, tools
import os.path
import glob
# conan install . -s arch=x86
class LocalConanFile(ConanFile):
name = "starsiege-launcher"
version = "0.5.1"
build_requires = "cmake/3.22.0"
settings = "os", "compiler", "build_type", "arch"
requires = "detours/4.0.1@microsoft/st... | 31.107143 | 98 | 0.641791 |
c156b0a474a4569dd60e76db09b92b4d27d2681f | 10,405 | py | Python | TestBot/test_cogs/pokerouletteFunctions/__init__.py | austinmh12/DiscordBots | 55550b68a7ad6423de55e62dbbff93fd88f08ff2 | [
"MIT"
] | null | null | null | TestBot/test_cogs/pokerouletteFunctions/__init__.py | austinmh12/DiscordBots | 55550b68a7ad6423de55e62dbbff93fd88f08ff2 | [
"MIT"
] | null | null | null | TestBot/test_cogs/pokerouletteFunctions/__init__.py | austinmh12/DiscordBots | 55550b68a7ad6423de55e62dbbff93fd88f08ff2 | [
"MIT"
] | null | null | null | from datetime import datetime as dt
from sqlite3 import connect
from discord import Embed, Colour
import asyncio
import pandas as pd
import logging
log = logging.getLogger(__name__)
log.setLevel(logging.DEBUG)
stream_handler = logging.StreamHandler()
stream_format = logging.Formatter('[%(asctime)s - %(name)s - %(level... | 19.894837 | 120 | 0.622489 |
c1e4dd2b4b2d3031a380cbb10b061c98e30849cc | 4,332 | py | Python | src/visitpy/visit_flow/flow/src/core/errors.py | visit-dav/vis | c08bc6e538ecd7d30ddc6399ec3022b9e062127e | [
"BSD-3-Clause"
] | 226 | 2018-12-29T01:13:49.000Z | 2022-03-30T19:16:31.000Z | src/visitpy/visit_flow/flow/src/core/errors.py | visit-dav/vis | c08bc6e538ecd7d30ddc6399ec3022b9e062127e | [
"BSD-3-Clause"
] | 5,100 | 2019-01-14T18:19:25.000Z | 2022-03-31T23:08:36.000Z | src/visitpy/visit_flow/flow/src/core/errors.py | visit-dav/vis | c08bc6e538ecd7d30ddc6399ec3022b9e062127e | [
"BSD-3-Clause"
] | 84 | 2019-01-24T17:41:50.000Z | 2022-03-10T10:01:46.000Z | # Copyright (c) Lawrence Livermore National Security, LLC and other VisIt
# Project developers. See the top-level LICENSE file for dates and other
# details. No copyright assignment is required to contribute to VisIt.
"""
file: errors.py
author: Cyrus Harrison <cyrush@llnl.gov>
created: 3/24/2012
description:
... | 31.852941 | 80 | 0.662281 |
a9feb78005ac4d90c2f136d4cf4b1bb8baf5edfe | 4,680 | py | Python | test/test_npu/common/util_test_new.py | Ascend/pytorch | 39849cf72dafe8d2fb68bd1679d8fd54ad60fcfc | [
"BSD-3-Clause"
] | 1 | 2021-12-02T03:07:35.000Z | 2021-12-02T03:07:35.000Z | test/test_npu/common/util_test_new.py | Ascend/pytorch | 39849cf72dafe8d2fb68bd1679d8fd54ad60fcfc | [
"BSD-3-Clause"
] | 1 | 2021-11-12T07:23:03.000Z | 2021-11-12T08:28:13.000Z | test/test_npu/common/util_test_new.py | Ascend/pytorch | 39849cf72dafe8d2fb68bd1679d8fd54ad60fcfc | [
"BSD-3-Clause"
] | null | null | null | # Copyright (c) 2020 Huawei Technologies Co., Ltd
# Copyright (c) 2019, Facebook CORPORATION.
# All rights reserved.
#
# Licensed under the BSD 3-Clause License (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://opensource.org/licen... | 36.27907 | 118 | 0.685043 |
e70bac611bf0cb576fdd47ff1cffe53ad81bfa65 | 1,700 | py | Python | python/course/leetcode/1~27/20. Valid Parentheses.py | TimVan1596/ACM-ICPC | 07f7d728db1ecd09c5a3d0f05521930b14eb9883 | [
"Apache-2.0"
] | 1 | 2019-05-22T07:12:34.000Z | 2019-05-22T07:12:34.000Z | python/course/leetcode/1~27/20. Valid Parentheses.py | TimVan1596/ACM-ICPC | 07f7d728db1ecd09c5a3d0f05521930b14eb9883 | [
"Apache-2.0"
] | 3 | 2021-12-10T01:13:54.000Z | 2021-12-14T21:18:42.000Z | python/course/leetcode/1~27/20. Valid Parentheses.py | TimVan1596/ACM-ICPC | 07f7d728db1ecd09c5a3d0f05521930b14eb9883 | [
"Apache-2.0"
] | null | null | null | # -*- coding:utf-8 -*-
# @Time:2020/6/21 16:22
# @Author:TimVan
# @File:20. Valid Parentheses.py
# @Software:PyCharm
# 20. Valid Parentheses.py
# Given a string containing just the characters '(', ')', '{', '}', '[' and ']',
# determine if the input string is valid.
# An input string is valid if:
# Open brackets must ... | 22.972973 | 80 | 0.510588 |
6b4e74df8c0ca01ed1b087e594089b3c2e8e830a | 1,262 | py | Python | Python/Machine_Learning/Regression/Data_Preprocessing/dataPreprocessing.py | saurabhpal007/hacktoberfest2021-1 | 5abad37ab426a7b34fc7bcd98ded885fd6ce02ef | [
"CC0-1.0"
] | 81 | 2021-10-01T13:19:13.000Z | 2021-10-06T08:43:35.000Z | Python/Machine_Learning/Regression/Data_Preprocessing/dataPreprocessing.py | saurabhpal007/hacktoberfest2021-1 | 5abad37ab426a7b34fc7bcd98ded885fd6ce02ef | [
"CC0-1.0"
] | 67 | 2021-10-01T13:43:46.000Z | 2021-10-06T13:55:49.000Z | Python/Machine_Learning/Regression/Data_Preprocessing/dataPreprocessing.py | saurabhpal007/hacktoberfest2021-1 | 5abad37ab426a7b34fc7bcd98ded885fd6ce02ef | [
"CC0-1.0"
] | 394 | 2021-10-01T11:55:24.000Z | 2021-10-06T13:45:57.000Z | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
#reading data from the csv file
dataset=pd.read_csv("Data.csv")
#Seperating dataset into dependent and independent variables
X=dataset.iloc[:,:-1].values
Y=dataset.iloc[:,-1].values
#removing NULL values from the dataset
from sklearn.impute impo... | 23.811321 | 92 | 0.767036 |
6b5014ae5010e502ae8f3d0c45433814324a5b02 | 3,064 | py | Python | 2DNet/src/prepare_data.py | BhaveshJP25/RSNA | 48d85faf82651b1ae4fdcd829ce2d4978a858d3f | [
"MIT"
] | null | null | null | 2DNet/src/prepare_data.py | BhaveshJP25/RSNA | 48d85faf82651b1ae4fdcd829ce2d4978a858d3f | [
"MIT"
] | null | null | null | 2DNet/src/prepare_data.py | BhaveshJP25/RSNA | 48d85faf82651b1ae4fdcd829ce2d4978a858d3f | [
"MIT"
] | null | null | null | import joblib
import PIL
from glob import glob
import pydicom
import numpy as np
import pandas as pd
import os
import cv2
import json
import matplotlib.pyplot as plt
import seaborn as sns
from collections import Counter
from PIL import Image
import math
import seaborn as sns
from collections import defaultdict
from pat... | 30.64 | 113 | 0.715731 |
cf1bc5af057c789c8b0591b0b7ee17ced072da47 | 1,073 | py | Python | frappe-bench/apps/erpnext/erpnext/patches/v8_0/create_address_doc_from_address_field_in_company.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | 1 | 2021-04-29T14:55:29.000Z | 2021-04-29T14:55:29.000Z | frappe-bench/apps/erpnext/erpnext/patches/v8_0/create_address_doc_from_address_field_in_company.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/apps/erpnext/erpnext/patches/v8_0/create_address_doc_from_address_field_in_company.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | 1 | 2021-04-29T14:39:01.000Z | 2021-04-29T14:39:01.000Z | # Copyright (c) 2017, Frappe and Contributors
# License: GNU General Public License v3. See license.txt
from __future__ import unicode_literals
import frappe
def execute():
# new field address_html is created in place of address field for the company's address in PR #8754 (without patch)
# so here is the patch for ... | 31.558824 | 116 | 0.696179 |
d8fa581493dd44f7b64fb3da8f619882135f58a3 | 2,310 | py | Python | Curso_Python/Secao7-Bases-de-dado-com-Python/155_crud/main.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | Curso_Python/Secao7-Bases-de-dado-com-Python/155_crud/main.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | Curso_Python/Secao7-Bases-de-dado-com-Python/155_crud/main.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | import pymysql.cursors
from contextlib import contextmanager
@contextmanager
def conectar():
conexao = pymysql.connect(
host='127.0.0.1',
user='root',
# password='cursopython@123',
db='clientes',
charset='utf8mb4',
cursorclass=pymysql.cursors.DictCursor
)
tr... | 28.170732 | 93 | 0.587013 |
9947e0defac21a888bdffeb6a512580a5c24ba55 | 329 | py | Python | src/bo4e/enum/mengenoperator.py | bo4e/BO4E-python | 28b12f853c8a496d14b133759b7aa2d6661f79a0 | [
"MIT"
] | 1 | 2022-03-02T12:49:44.000Z | 2022-03-02T12:49:44.000Z | src/bo4e/enum/mengenoperator.py | bo4e/BO4E-python | 28b12f853c8a496d14b133759b7aa2d6661f79a0 | [
"MIT"
] | 21 | 2022-02-04T07:38:46.000Z | 2022-03-28T14:01:53.000Z | src/bo4e/enum/mengenoperator.py | bo4e/BO4E-python | 28b12f853c8a496d14b133759b7aa2d6661f79a0 | [
"MIT"
] | null | null | null | # pylint: disable=missing-module-docstring
from bo4e.enum.strenum import StrEnum
class Mengenoperator(StrEnum):
"""
Angabe, wie eine Menge in Bezug auf einen Wert zu bilden ist.
"""
KLEINER_ALS = "KLEINER_ALS" #: KLEINER_ALS
GROESSER_ALS = "GROESSER_ALS" #: GROESSER_ALS
GLEICH = "GLEICH" #... | 25.307692 | 65 | 0.693009 |
41d487d92d032294cf36ca7319c7f3952fefd1cb | 2,797 | py | Python | cbm/ipycbm/ipy_view/view_code.py | CsabaWirnhardt/cbm | 1822addd72881057af34ac6a7c2a1f02ea511225 | [
"BSD-3-Clause"
] | 17 | 2021-01-18T07:27:01.000Z | 2022-03-10T12:26:21.000Z | cbm/ipycbm/ipy_view/view_code.py | CsabaWirnhardt/cbm | 1822addd72881057af34ac6a7c2a1f02ea511225 | [
"BSD-3-Clause"
] | 4 | 2021-04-29T11:20:44.000Z | 2021-12-06T10:19:17.000Z | cbm/ipycbm/ipy_view/view_code.py | CsabaWirnhardt/cbm | 1822addd72881057af34ac6a7c2a1f02ea511225 | [
"BSD-3-Clause"
] | 47 | 2021-01-21T08:25:22.000Z | 2022-03-21T14:28:42.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# This file is part of CbM (https://github.com/ec-jrc/cbm).
# Author : Konstantinos Anastasakis
# Credits : GTCAP Team
# Copyright : 2021 European Commission, Joint Research Centre
# License : 3-Clause BSD
import glob
def code(path):
from ipywidgets import ... | 32.905882 | 79 | 0.642832 |
511b619584d8f89e4e193626f66fc995b01a06b8 | 205 | py | Python | production/pygsl-0.9.5/gsl_dist/array_includes.py | juhnowski/FishingRod | 457e7afb5cab424296dff95e1acf10ebf70d32a9 | [
"MIT"
] | 1 | 2019-07-29T02:53:51.000Z | 2019-07-29T02:53:51.000Z | production/pygsl-0.9.5/gsl_dist/array_includes.py | juhnowski/FishingRod | 457e7afb5cab424296dff95e1acf10ebf70d32a9 | [
"MIT"
] | 1 | 2021-09-11T14:30:32.000Z | 2021-09-11T14:30:32.000Z | Dockerfiles/gedlab-khmer-filter-abund/pymodules/python2.7/lib/python/pygsl/gsl_dist/array_includes.py | poojavade/Genomics_Docker | 829b5094bba18bbe03ae97daf925fee40a8476e8 | [
"Apache-2.0"
] | 2 | 2016-12-19T02:27:46.000Z | 2019-07-29T02:53:54.000Z | """
WARNING: File Generated during build. DO NOT MODIFY!!!
"""
array_include_dirs = []
from numpy.distutils.misc_util import get_numpy_include_dirs
array_include_dirs = get_numpy_include_dirs()
| 22.777778 | 62 | 0.756098 |
7a57461c82fce07613036871ec6322818ccfef27 | 1,376 | py | Python | listings/chapter06/char-array.py | SaschaKersken/Daten-Prozessanalyse | 370f07a75b9465329deb3671adbfbef8483f76f6 | [
"Apache-2.0"
] | 2 | 2021-09-20T06:16:41.000Z | 2022-01-17T14:24:43.000Z | listings/chapter06/char-array.py | SaschaKersken/Daten-Prozessanalyse | 370f07a75b9465329deb3671adbfbef8483f76f6 | [
"Apache-2.0"
] | null | null | null | listings/chapter06/char-array.py | SaschaKersken/Daten-Prozessanalyse | 370f07a75b9465329deb3671adbfbef8483f76f6 | [
"Apache-2.0"
] | null | null | null | import re
class CharArray:
CHAR_MAP = {'0': 0, '1': 1, '2': 2, '3': 3, '4': 4, '5': 5,
'6': 6, '7': 7, '8': 8, '9': 9, ' ': 10,
'a': 11, 'b': 12, 'c': 13, 'd': 14, 'e': 15,
'f': 16, 'g': 17, 'h': 18, 'i': 19, 'j': 20,
'k': 21, 'l': 22, 'm': 23, 'n': 24, 'o': 25,
'p': 26, ... | 29.913043 | 96 | 0.491279 |
8fb9f17632ba5d778d8a11cc8b85c7330bed5bab | 9,654 | py | Python | pdftools/pdftool.py | Unam3dd/Train-2018-2020 | afb6ae70fe338cbe55a21b74648d91996b818fa2 | [
"MIT"
] | 4 | 2021-04-23T15:39:17.000Z | 2021-12-27T22:53:24.000Z | pdftools/pdftool.py | Unam3dd/Train-2018-2020 | afb6ae70fe338cbe55a21b74648d91996b818fa2 | [
"MIT"
] | null | null | null | pdftools/pdftool.py | Unam3dd/Train-2018-2020 | afb6ae70fe338cbe55a21b74648d91996b818fa2 | [
"MIT"
] | 2 | 2021-04-19T08:28:54.000Z | 2022-01-19T13:23:29.000Z | #!/usr/bin/python
#-*- coding:utf-8 -*-
import sys
import time
import platform
import os
import json
try:
from datetime import datetime
except ImportError:
sys.exit("[*] Exception datetime Import Error")
try:
from googlesearch import *
except ImportError:
sys.exit("[*] Exception googlesearch Import E... | 40.90678 | 110 | 0.400249 |
85ad3c3afc7a77949a5d36b76b34f3cac5d471fb | 204,088 | py | Python | test/test_npu/test_torch_npu.py | Ascend/pytorch | 39849cf72dafe8d2fb68bd1679d8fd54ad60fcfc | [
"BSD-3-Clause"
] | 1 | 2021-12-02T03:07:35.000Z | 2021-12-02T03:07:35.000Z | test/test_npu/test_torch_npu.py | Ascend/pytorch | 39849cf72dafe8d2fb68bd1679d8fd54ad60fcfc | [
"BSD-3-Clause"
] | 1 | 2021-11-12T07:23:03.000Z | 2021-11-12T08:28:13.000Z | test/test_npu/test_torch_npu.py | Ascend/pytorch | 39849cf72dafe8d2fb68bd1679d8fd54ad60fcfc | [
"BSD-3-Clause"
] | null | null | null | # Copyright (c) 2020 Huawei Technologies Co., Ltd
# Copyright (c) 2019, Facebook CORPORATION.
# All rights reserved.
#
# Licensed under the BSD 3-Clause License (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://opensource.org/lice... | 41.422367 | 126 | 0.583077 |
74d73b31797ad2798b05197c3988dbeab7129fee | 534 | py | Python | backend/app/schemas/statistic.py | jinnn-dev/patholearn | b4e6a18cfbf963e71640ed6cac3fc3a618a7ae15 | [
"MIT"
] | 1 | 2021-11-04T17:06:07.000Z | 2021-11-04T17:06:07.000Z | backend/app/schemas/statistic.py | JamesNeumann/learning-by-annotations | c2b5e4b653eeb1c973aa5a7dad35ac8be18cb1ad | [
"MIT"
] | 21 | 2021-11-01T10:13:56.000Z | 2021-12-02T10:02:13.000Z | backend/app/schemas/statistic.py | jinnn-dev/patholearn | b4e6a18cfbf963e71640ed6cac3fc3a618a7ae15 | [
"MIT"
] | 1 | 2021-12-16T18:20:55.000Z | 2021-12-16T18:20:55.000Z | from typing import List, Optional
from pydantic import BaseModel
class WrongImageStatistic(BaseModel):
task_image_id: str
name: str
amount: int
label: Optional[str]
class WrongLabelDetailStatistic(BaseModel):
label: str
amount: int
class WrongLabelStatistic(BaseModel):
... | 20.538462 | 54 | 0.734082 |
7aec17ae9e117aecd063331df70c9e7d84ebcecc | 59,493 | py | Python | exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/tests/unit/modules/storage/netapp/test_netapp_e_volume.py | tr3ck3r/linklight | 5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7 | [
"MIT"
] | null | null | null | exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/tests/unit/modules/storage/netapp/test_netapp_e_volume.py | tr3ck3r/linklight | 5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7 | [
"MIT"
] | null | null | null | exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/tests/unit/modules/storage/netapp/test_netapp_e_volume.py | tr3ck3r/linklight | 5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7 | [
"MIT"
] | null | null | null | # coding=utf-8
# (c) 2018, NetApp Inc.
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
try:
from unittest import mock
except ImportError:
import mock
from ansible_collections.neta... | 68.304248 | 144 | 0.568033 |
706927155592e340f3427061dfd78184059b76a0 | 4,906 | py | Python | Co-Simulation/Sumo/sumo-1.7.0/tools/build/configTemplateToWiki.py | uruzahe/carla | 940c2ab23cce1eda1ef66de35f66b42d40865fb1 | [
"MIT"
] | 4 | 2020-11-13T02:35:56.000Z | 2021-03-29T20:15:54.000Z | Co-Simulation/Sumo/sumo-1.7.0/tools/build/configTemplateToWiki.py | uruzahe/carla | 940c2ab23cce1eda1ef66de35f66b42d40865fb1 | [
"MIT"
] | 9 | 2020-12-09T02:12:39.000Z | 2021-02-18T00:15:28.000Z | Co-Simulation/Sumo/sumo-1.7.0/tools/build/configTemplateToWiki.py | uruzahe/carla | 940c2ab23cce1eda1ef66de35f66b42d40865fb1 | [
"MIT"
] | 1 | 2020-11-20T19:31:26.000Z | 2020-11-20T19:31:26.000Z | #!/usr/bin/env python
# Eclipse SUMO, Simulation of Urban MObility; see https://eclipse.org/sumo
# Copyright (C) 2008-2020 German Aerospace Center (DLR) and others.
# This program and the accompanying materials are made available under the
# terms of the Eclipse Public License 2.0 which is available at
# https://www.ec... | 42.293103 | 102 | 0.519568 |
562e54a27bd20bbaa1013068c46cd60031cba5d5 | 3,414 | py | Python | Unpublished/HeartDisease/HeartDisease.py | stanton119/data-analysis | b6fda815c6cc1798ba13a5d2680369b7e5dfcdf9 | [
"Apache-2.0"
] | null | null | null | Unpublished/HeartDisease/HeartDisease.py | stanton119/data-analysis | b6fda815c6cc1798ba13a5d2680369b7e5dfcdf9 | [
"Apache-2.0"
] | 1 | 2021-02-11T23:44:52.000Z | 2021-02-11T23:44:52.000Z | Unpublished/HeartDisease/HeartDisease.py | stanton119/data-analysis | b6fda815c6cc1798ba13a5d2680369b7e5dfcdf9 | [
"Apache-2.0"
] | 1 | 2021-12-16T01:02:23.000Z | 2021-12-16T01:02:23.000Z | # %% [markdown]
# # Heart Disease Data Exploration
#
# %%
import os
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
sns.set(style="whitegrid")
plt.style.use("seaborn-whitegrid")
# %%
# Fetch data
dir_path = os.path.dirname(os.path.realpath(__file__))
heart_data = pd.read... | 25.288889 | 101 | 0.772994 |
3b50ea05a848d2b02f5c8a36606fb8b6fb6ef83e | 10,414 | py | Python | WikiAnalyser/footballMatchAnalyzer/footballMatch.py | Simocracy/PwrBot | feac80393072f3c79e1978466c54c84a4e74ff85 | [
"MIT"
] | null | null | null | WikiAnalyser/footballMatchAnalyzer/footballMatch.py | Simocracy/PwrBot | feac80393072f3c79e1978466c54c84a4e74ff85 | [
"MIT"
] | null | null | null | WikiAnalyser/footballMatchAnalyzer/footballMatch.py | Simocracy/PwrBot | feac80393072f3c79e1978466c54c84a4e74ff85 | [
"MIT"
] | null | null | null | import re
from datetime import datetime
from collections import OrderedDict
from simocracy import flagConverter
from simocracy import wiki
from footballMatchAnalyzer.footballStatElement import FootballStatElement
class FootballMatch:
"""
Fußballspiel
"""
"""
Team, dessen Statistik erstellt wird, Basierend auf F... | 28.298913 | 347 | 0.643461 |
d9709ac6182f4f24db42c6b116f07e65e3c6d3e2 | 859 | py | Python | python/generator_tricks_for_systemprogrammer/netsend.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | python/generator_tricks_for_systemprogrammer/netsend.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | python/generator_tricks_for_systemprogrammer/netsend.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | # netsend.py
#
# Consume items and send them to a remote machine
import socket, pickle
from broadcast import broadcast
from follow import follow
from apachelog import apache_log
class NetConsumer(object):
def __init__(self, addr):
self.s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
... | 22.605263 | 67 | 0.62631 |
d9903a30804f25cc43696d52e8295be84c3624ff | 845 | py | Python | aoc2020/day_14/part_1.py | en0/aoc2020 | a2f41b909dffe1f366682b3d03fd5fbdbc924ec0 | [
"MIT"
] | null | null | null | aoc2020/day_14/part_1.py | en0/aoc2020 | a2f41b909dffe1f366682b3d03fd5fbdbc924ec0 | [
"MIT"
] | null | null | null | aoc2020/day_14/part_1.py | en0/aoc2020 | a2f41b909dffe1f366682b3d03fd5fbdbc924ec0 | [
"MIT"
] | null | null | null | from aoc2020 import *
import re
class Solution(SolutionABC):
expected = 165
def solve(self) -> any:
memory = dict()
mask = "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX"
for op, val, addr in self.resource_lines("input", self.parse_op):
if op == "mask":
mask = val
... | 31.296296 | 112 | 0.542012 |
79cfe85086a10395dd25b8647f2df14cf478dffc | 1,554 | py | Python | Packs/CortexXDR/Scripts/CortexXDRCloudProviderWidget/CortexXDRCloudProviderWidget.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/CortexXDR/Scripts/CortexXDRCloudProviderWidget/CortexXDRCloudProviderWidget.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/CortexXDR/Scripts/CortexXDRCloudProviderWidget/CortexXDRCloudProviderWidget.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | from CommonServerPython import *
import traceback
COLORS = {'AWS': 'ff0000',
'GCP': '339966',
'Azure': '0000ff'}
HTML_START = """<h1 style="color: #2e6c80; height: 170px; line-height: 170px; text-align: center;">"""
HTML = """<span style="color: #{color};"><strong>{provider} &... | 29.320755 | 122 | 0.668597 |
a50243f262ec6aff92aab4ae05a06c5162cf8e46 | 1,346 | py | Python | Packs/ShiftManagement/Scripts/GetAwayUsers/GetAwayUsers.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 2 | 2021-12-06T21:38:24.000Z | 2022-01-13T08:23:36.000Z | Packs/ShiftManagement/Scripts/GetAwayUsers/GetAwayUsers.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 87 | 2022-02-23T12:10:53.000Z | 2022-03-31T11:29:05.000Z | Packs/ShiftManagement/Scripts/GetAwayUsers/GetAwayUsers.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 2 | 2022-01-05T15:27:01.000Z | 2022-02-01T19:27:43.000Z | from CommonServerPython import *
def main():
try:
users_command_response: Dict = demisto.executeCommand("getUsers", {})
if is_error(users_command_response) or not users_command_response:
raise DemistoException(f'Could not retrieve users\nError details: {get_error(users_command_response... | 40.787879 | 115 | 0.627043 |
c625c2b8788e223e6e51df1e07e6fb428ff1d282 | 304 | py | Python | exercises/pt/solution_01_03_01.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 2,085 | 2019-04-17T13:10:40.000Z | 2022-03-30T21:51:46.000Z | exercises/pt/solution_01_03_01.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 79 | 2019-04-18T14:42:55.000Z | 2022-03-07T08:15:43.000Z | exercises/pt/solution_01_03_01.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 361 | 2019-04-17T13:34:32.000Z | 2022-03-28T04:42:45.000Z | # Importar a classe da língua inglesa (English) e criar um objeto nlp
from spacy.lang.en import English
nlp = English()
# Processar o texto
doc = nlp("I like tree kangaroos and narwhals.")
# Selecionar o primeiro token
first_token = doc[0]
# Imprimir o texto do primeito token
print(first_token.text)
| 23.384615 | 69 | 0.756579 |
ba54bd7775061e56ba8be7c663646e9584d5a4d7 | 1,748 | py | Python | research/cv/DeepID/src/loss.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | research/cv/DeepID/src/loss.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | research/cv/DeepID/src/loss.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 24 | 2021-10-15T08:32:45.000Z | 2022-03-24T18:45:20.000Z | # Copyright 2021 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 28.655738 | 83 | 0.647025 |
88b84d5da36e6e498396c5b25bfdafa88ef34693 | 119 | py | Python | src/onegov/gis/models/__init__.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/gis/models/__init__.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/gis/models/__init__.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | from onegov.gis.models.coordinates import Coordinates, CoordinatesMixin
__all__ = ['Coordinates', 'CoordinatesMixin']
| 29.75 | 71 | 0.815126 |
003294715b1720c7c4bf781efe509a5e2eb12592 | 152 | py | Python | python/datasets/path.py | Obarads/Point_Cloud_Tutorial | faf7ae8abf962ecea414cc7557dc35f4fca0e406 | [
"MIT"
] | 1 | 2021-11-22T10:32:49.000Z | 2021-11-22T10:32:49.000Z | python/datasets/path.py | Obarads/Point_Cloud_Tutorial | faf7ae8abf962ecea414cc7557dc35f4fca0e406 | [
"MIT"
] | 1 | 2021-12-09T14:39:51.000Z | 2021-12-09T14:39:51.000Z | python/datasets/path.py | Obarads/Point_Cloud_Tutorial | faf7ae8abf962ecea414cc7557dc35f4fca0e406 | [
"MIT"
] | null | null | null | import os, sys
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
sys.path.append(os.path.abspath(os.path.join(BASE_DIR, "../"))) # for package path
| 38 | 82 | 0.730263 |
cca9f8b3697b1df39f41f6fda2f5938a98b81f33 | 12,464 | py | Python | bases/base_model.py | kkahloots/Generative-Models-03 | 5399fb8a504543b0a4196a81b182ead79ee247df | [
"MIT"
] | null | null | null | bases/base_model.py | kkahloots/Generative-Models-03 | 5399fb8a504543b0a4196a81b182ead79ee247df | [
"MIT"
] | null | null | null | bases/base_model.py | kkahloots/Generative-Models-03 | 5399fb8a504543b0a4196a81b182ead79ee247df | [
"MIT"
] | null | null | null | import gc
import os
import zipfile as zf
from pydrive.auth import GoogleAuth
from pydrive.drive import GoogleDrive
from google.colab import auth
from oauth2client.client import GoogleCredentials
import numpy as np
import tensorflow as tf
import dask.array as da
from dask_ml.decomposition import PCA
f... | 38.82866 | 145 | 0.507381 |
ccb5ddd84c722ab59aae78a1053a9871b721d6e2 | 2,399 | py | Python | Co-Simulation/Sumo/sumo-1.7.0/tools/build/setup-sumolib.py | uruzahe/carla | 940c2ab23cce1eda1ef66de35f66b42d40865fb1 | [
"MIT"
] | 4 | 2020-11-13T02:35:56.000Z | 2021-03-29T20:15:54.000Z | Co-Simulation/Sumo/sumo-1.7.0/tools/build/setup-sumolib.py | uruzahe/carla | 940c2ab23cce1eda1ef66de35f66b42d40865fb1 | [
"MIT"
] | 9 | 2020-12-09T02:12:39.000Z | 2021-02-18T00:15:28.000Z | Co-Simulation/Sumo/sumo-1.7.0/tools/build/setup-sumolib.py | uruzahe/carla | 940c2ab23cce1eda1ef66de35f66b42d40865fb1 | [
"MIT"
] | 1 | 2020-11-20T19:31:26.000Z | 2020-11-20T19:31:26.000Z | #!/usr/bin/env python
# Eclipse SUMO, Simulation of Urban MObility; see https://eclipse.org/sumo
# Copyright (C) 2017-2020 German Aerospace Center (DLR) and others.
# This program and the accompanying materials are made available under the
# terms of the Eclipse Public License 2.0 which is available at
# https://www.ec... | 38.079365 | 83 | 0.678616 |
881ce638169b32ca665768fff3ce9fa181a8b6ee | 465 | py | Python | Sorting/algos/bubble.py | CandleStein/VAlg | 43aecdd351954d316f132793cf069b70bf2e5cc2 | [
"MIT"
] | null | null | null | Sorting/algos/bubble.py | CandleStein/VAlg | 43aecdd351954d316f132793cf069b70bf2e5cc2 | [
"MIT"
] | null | null | null | Sorting/algos/bubble.py | CandleStein/VAlg | 43aecdd351954d316f132793cf069b70bf2e5cc2 | [
"MIT"
] | 1 | 2020-09-25T18:31:34.000Z | 2020-09-25T18:31:34.000Z | import numpy as np
import matplotlib.pyplot as plt
def bubblesort(arr):
for i in range(len(arr) - 1):
for j in range(0, len(arr) - i - 1):
if arr[j] > arr[j + 1]:
arr[j], arr[j + 1] = arr[j + 1], arr[j]
plt.stem(arr)
plt.pause(1e-10)
plt.clf(... | 22.142857 | 55 | 0.509677 |
ee36ef338ce914c73e4dded507b7c0525686cd37 | 471 | py | Python | Sliding Window/MaximumAverageSubarray-1.py | dileeppandey/hello-interview | 78f6cf4e2da4106fd07f4bd86247026396075c69 | [
"MIT"
] | null | null | null | Sliding Window/MaximumAverageSubarray-1.py | dileeppandey/hello-interview | 78f6cf4e2da4106fd07f4bd86247026396075c69 | [
"MIT"
] | null | null | null | Sliding Window/MaximumAverageSubarray-1.py | dileeppandey/hello-interview | 78f6cf4e2da4106fd07f4bd86247026396075c69 | [
"MIT"
] | 1 | 2020-02-12T16:57:46.000Z | 2020-02-12T16:57:46.000Z | from sys import maxsize
class Solution:
def findMaxAverage(self, nums, k):
result = -maxsize
windowStart = 0
windowSum = 0
if k > len(nums):
return 0
for windowEnd in range(len(nums)):
windowSum += nums[windowEnd]
if windowEnd >= k - 1:
... | 26.166667 | 47 | 0.52017 |
c9d27d30691be2b4442defb0c894dba06e77fb61 | 454 | py | Python | leetcode/020-Valid-Parentheses/Val_Parent_best.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 1 | 2016-12-29T03:26:39.000Z | 2016-12-29T03:26:39.000Z | leetcode/020-Valid-Parentheses/Val_Parent_best.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 1 | 2016-02-09T06:00:07.000Z | 2016-02-09T07:20:13.000Z | leetcode/020-Valid-Parentheses/Val_Parent_best.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 2 | 2019-06-27T09:07:26.000Z | 2019-07-01T04:40:13.000Z | class Solution(object):
def isValid(self, s):
"""
:type s: str
:rtype: bool
"""
stack = []
pairs = {'(': ')', '[': ']', '{': '}'}
for c in s:
if c == ')' or c == ']' or c == '}':
if not stack or pairs[stack.pop()] != c:
... | 25.222222 | 56 | 0.348018 |
a015dbfc7a1d59656cf36aaff3ffc84cd0d75083 | 506 | py | Python | tests/data/conftest.py | scottyellis/fence | 012ba76a58853169e9ee8e3f44a0dc510f4b2543 | [
"Apache-2.0"
] | 31 | 2018-01-05T22:49:33.000Z | 2022-02-02T10:30:23.000Z | tests/data/conftest.py | scottyellis/fence | 012ba76a58853169e9ee8e3f44a0dc510f4b2543 | [
"Apache-2.0"
] | 737 | 2017-12-11T17:42:11.000Z | 2022-03-29T22:42:52.000Z | tests/data/conftest.py | scottyellis/fence | 012ba76a58853169e9ee8e3f44a0dc510f4b2543 | [
"Apache-2.0"
] | 46 | 2018-02-23T09:04:23.000Z | 2022-02-09T18:29:51.000Z | """
Fixtures to support tests/data
"""
import pytest
@pytest.fixture(scope="function", params=("upload", "download"))
def supported_action(request):
"""
return "upload", "download"
"""
return request.param
@pytest.fixture(scope="function", params=("s3", "http", "ftp", "https", "gs", "az"))
def supp... | 21.083333 | 84 | 0.628458 |
4ea3d58812e138d2e8283b57bbfbcb06764c96e9 | 949 | py | Python | site/public/courses/CS-1.2/src/PlaylistLinkedList-StarterCode/Song.py | KitsuneNoctus/makeschool | 5eec1a18146abf70bb78b4ee3d301f6a43c9ede4 | [
"MIT"
] | 1 | 2021-08-24T20:22:19.000Z | 2021-08-24T20:22:19.000Z | site/public/courses/CS-1.2/src/PlaylistLinkedList-StarterCode/Song.py | KitsuneNoctus/makeschool | 5eec1a18146abf70bb78b4ee3d301f6a43c9ede4 | [
"MIT"
] | null | null | null | site/public/courses/CS-1.2/src/PlaylistLinkedList-StarterCode/Song.py | KitsuneNoctus/makeschool | 5eec1a18146abf70bb78b4ee3d301f6a43c9ede4 | [
"MIT"
] | null | null | null | class Song:
def __init__(self, title):
self.__title = title
self.__next_song = None
# TODO: Create a getter method for the title attribute, called get_title
def get_title(self):
pass
# TODO: Create a setter method for the next_song attribute, called set_title. Make sure titl... | 26.361111 | 144 | 0.691254 |
eeac84bc98a764ed3c9d6da7626ab854dac09537 | 1,590 | py | Python | tests/unit/ledger_sync/inbound/rbac_transaction_tests.py | fthornton67/sawtooth-next-directory | 79479afb8d234911c56379bb1d8abf11f28ef86d | [
"Apache-2.0"
] | 75 | 2018-04-06T09:13:34.000Z | 2020-05-18T18:59:47.000Z | tests/unit/ledger_sync/inbound/rbac_transaction_tests.py | fthornton67/sawtooth-next-directory | 79479afb8d234911c56379bb1d8abf11f28ef86d | [
"Apache-2.0"
] | 989 | 2018-04-18T21:01:56.000Z | 2019-10-23T15:37:09.000Z | tests/unit/ledger_sync/inbound/rbac_transaction_tests.py | fthornton67/sawtooth-next-directory | 79479afb8d234911c56379bb1d8abf11f28ef86d | [
"Apache-2.0"
] | 72 | 2018-04-13T18:29:12.000Z | 2020-05-29T06:00:33.000Z | # Copyright 2019 Contributors to Hyperledger Sawtooth
#
# 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 ... | 36.136364 | 82 | 0.68805 |
017ba785e0be21d4b525207ea0569b115ba187c1 | 5,998 | py | Python | Co-Simulation/Sumo/sumo-1.7.0/tools/traci/_poi.py | uruzahe/carla | 940c2ab23cce1eda1ef66de35f66b42d40865fb1 | [
"MIT"
] | 4 | 2020-11-13T02:35:56.000Z | 2021-03-29T20:15:54.000Z | Co-Simulation/Sumo/sumo-1.7.0/tools/traci/_poi.py | uruzahe/carla | 940c2ab23cce1eda1ef66de35f66b42d40865fb1 | [
"MIT"
] | 9 | 2020-12-09T02:12:39.000Z | 2021-02-18T00:15:28.000Z | Co-Simulation/Sumo/sumo-1.7.0/tools/traci/_poi.py | uruzahe/carla | 940c2ab23cce1eda1ef66de35f66b42d40865fb1 | [
"MIT"
] | 1 | 2020-11-20T19:31:26.000Z | 2020-11-20T19:31:26.000Z | # -*- coding: utf-8 -*-
# Eclipse SUMO, Simulation of Urban MObility; see https://eclipse.org/sumo
# Copyright (C) 2008-2020 German Aerospace Center (DLR) and others.
# This program and the accompanying materials are made available under the
# terms of the Eclipse Public License 2.0 which is available at
# https://www.... | 36.13253 | 118 | 0.628376 |
6df89b13a2ade3b9edc974e4b6cb6853aa764eb4 | 316 | py | Python | Kapitel_4/_1_Allgemein.py | Geralonx/Classes_Tutorial | 9499db8159efce1e3c38975b66a9c649631c6727 | [
"MIT"
] | 1 | 2020-12-24T15:42:54.000Z | 2020-12-24T15:42:54.000Z | Kapitel_4/_1_Allgemein.py | Geralonx/Classes_Tutorial | 9499db8159efce1e3c38975b66a9c649631c6727 | [
"MIT"
] | null | null | null | Kapitel_4/_1_Allgemein.py | Geralonx/Classes_Tutorial | 9499db8159efce1e3c38975b66a9c649631c6727 | [
"MIT"
] | null | null | null | class Discriptor:
# owner_cls ist das Klassenobejkt, indem der Descriptor verwendet wird
def __set_name__(self, owner_cls, name):
pass
def __get__(self, instance, owner_cls=None):
pass
def __set__(self, instace, value):
pass
def __delete__(self, instance):
pass | 24.307692 | 74 | 0.658228 |
28dd5c0d4e717d0756b67cf8eb95a17c1ed851c8 | 301 | py | Python | frappe-bench/apps/erpnext/erpnext/patches/v4_2/update_sales_order_invoice_field_name.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | 1 | 2021-04-29T14:55:29.000Z | 2021-04-29T14:55:29.000Z | frappe-bench/apps/erpnext/erpnext/patches/v4_2/update_sales_order_invoice_field_name.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/apps/erpnext/erpnext/patches/v4_2/update_sales_order_invoice_field_name.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | 1 | 2021-04-29T14:39:01.000Z | 2021-04-29T14:39:01.000Z | from __future__ import unicode_literals
import frappe
def execute():
frappe.reload_doc('accounts', 'doctype', 'sales_invoice')
frappe.db.sql("""update `tabSales Invoice` set from_date = invoice_period_from_date,
to_date = invoice_period_to_date, is_recurring = convert_into_recurring_invoice""")
| 37.625 | 85 | 0.800664 |
e90c6f5bc3617608a639a03f48b4c20a3aa944fb | 3,085 | py | Python | prototype/examples/user_support/lab_orchestrator_prototype/user_management.py | LernmodulController/LernmodulController-LernmodulControllerDocumentation | 4d0cb3dcac01676f6a97df8f558095a27a4296af | [
"MIT"
] | null | null | null | prototype/examples/user_support/lab_orchestrator_prototype/user_management.py | LernmodulController/LernmodulController-LernmodulControllerDocumentation | 4d0cb3dcac01676f6a97df8f558095a27a4296af | [
"MIT"
] | null | null | null | prototype/examples/user_support/lab_orchestrator_prototype/user_management.py | LernmodulController/LernmodulController-LernmodulControllerDocumentation | 4d0cb3dcac01676f6a97df8f558095a27a4296af | [
"MIT"
] | 1 | 2021-09-26T12:09:52.000Z | 2021-09-26T12:09:52.000Z | import os
import time
from flask import abort, request, jsonify, g, url_for
import jwt
from sqlalchemy.orm import relationship
from werkzeug.security import generate_password_hash, check_password_hash
import sqlalchemy as sql
from lab_orchestrator_prototype.app import app, db, auth
class User(db.Model):
__tablen... | 30.544554 | 74 | 0.667099 |
a3829319a00a6f0102507411f4432550620e97bb | 713 | py | Python | Python/zzz_training_challenge/Python_Challenge/solutions/ch06_arrays/purearrays/ex03_palindrome_example.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | Python/zzz_training_challenge/Python_Challenge/solutions/ch06_arrays/purearrays/ex03_palindrome_example.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | Python/zzz_training_challenge/Python_Challenge/solutions/ch06_arrays/purearrays/ex03_palindrome_example.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | # Beispielprogramm für das Buch "Python Challenge"
#
# Copyright 2020 by Michael Inden
import numpy as np
from ch06_arrays.solutions.ex03_palindrome import is_palindrome_rec, is_palindrome_iterative
def main():
print(is_palindrome_rec(np.array(["Ein", "Test", " – ", "Test", "Ein"])))
print(is_palindrome_re... | 31 | 92 | 0.660589 |
a3881224f1bcc537e4f2e2b8a0343048436ec2d6 | 2,050 | py | Python | src/bias_lexica.py | krangelie/bias-in-german-nlg | 9fbaf50fde7d41d64692ae90c41beae61bc78d44 | [
"MIT"
] | 14 | 2021-08-24T12:36:37.000Z | 2022-03-18T12:14:36.000Z | src/bias_lexica.py | krangelie/bias-in-german-nlg | 9fbaf50fde7d41d64692ae90c41beae61bc78d44 | [
"MIT"
] | null | null | null | src/bias_lexica.py | krangelie/bias-in-german-nlg | 9fbaf50fde7d41d64692ae90c41beae61bc78d44 | [
"MIT"
] | 1 | 2021-10-21T20:22:55.000Z | 2021-10-21T20:22:55.000Z | from bidict import bidict
# Bias lexica for qualitative appraisal
# Some words are incomplete words or some appear to be only grammatically male
# This is because the matching is done by checking if the lexicon entry is a substring
violence = [
"Terrorist",
"Schwerverbrecher",
"Einbrecher",
"gewalttät... | 18.303571 | 86 | 0.556585 |
666b99b642180eb514bd3473f4a90768ca43e4a9 | 2,063 | py | Python | marsyas-vamp/marsyas/scripts/large-evaluators/sonic.py | jaouahbi/VampPlugins | 27c2248d1c717417fe4d448cdfb4cb882a8a336a | [
"Apache-2.0"
] | null | null | null | marsyas-vamp/marsyas/scripts/large-evaluators/sonic.py | jaouahbi/VampPlugins | 27c2248d1c717417fe4d448cdfb4cb882a8a336a | [
"Apache-2.0"
] | null | null | null | marsyas-vamp/marsyas/scripts/large-evaluators/sonic.py | jaouahbi/VampPlugins | 27c2248d1c717417fe4d448cdfb4cb882a8a336a | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
import os.path
import subprocess
import pipes
import mar_collection
def single_file_generate_default_plugin(filename, basedir, plugin_name):
cmd = "sonic-annotator -d %s %s -w csv --csv-force --csv-basedir %s " % (
plugin_name, pipes.quote(filename), basedir)
subprocess.call(cmd... | 28.652778 | 77 | 0.672807 |
9ffdba95129f4ba5d302b09314b98a2afeea9737 | 516 | py | Python | RDS/circle3_central_services/research_manager/src/lib/Exceptions/ProjectServiceExceptions.py | Sciebo-RDS/Sciebo-RDS | d71cf449ed045a2a7a049e2cb77c99fd5a9195bd | [
"MIT"
] | 10 | 2020-06-24T08:22:24.000Z | 2022-01-13T16:17:36.000Z | RDS/circle3_central_services/research_manager/src/lib/Exceptions/ProjectServiceExceptions.py | Sciebo-RDS/Sciebo-RDS | d71cf449ed045a2a7a049e2cb77c99fd5a9195bd | [
"MIT"
] | 78 | 2020-01-23T14:32:06.000Z | 2022-03-07T14:11:16.000Z | RDS/circle3_central_services/research_manager/src/lib/Exceptions/ProjectServiceExceptions.py | Sciebo-RDS/Sciebo-RDS | d71cf449ed045a2a7a049e2cb77c99fd5a9195bd | [
"MIT"
] | 1 | 2020-06-24T08:33:48.000Z | 2020-06-24T08:33:48.000Z | class NotFoundIDError(Exception):
def __init__(self, user, id, msg=None):
if msg is None:
msg = f"id {id} for user {user} not found."
super(NotFoundIDError, self).__init__(msg)
self.id = id
self.user = user
class NotFoundUserError(Exception):
def __init__(self, user... | 30.352941 | 55 | 0.589147 |
b06e113327d23e1b106d0f307114b7c24f365199 | 34 | py | Python | lib/python3.5/ntpath.py | hwroitzsch/BikersLifeSaver | 469c738fdd6352c44a3f20689b17fa8ac04ad8a2 | [
"MIT"
] | 1 | 2020-08-16T04:04:23.000Z | 2020-08-16T04:04:23.000Z | lib/python3.5/ntpath.py | hwroitzsch/BikersLifeSaver | 469c738fdd6352c44a3f20689b17fa8ac04ad8a2 | [
"MIT"
] | 5 | 2020-06-05T18:53:24.000Z | 2021-12-13T19:49:15.000Z | lib/python3.5/ntpath.py | hwroitzsch/BikersLifeSaver | 469c738fdd6352c44a3f20689b17fa8ac04ad8a2 | [
"MIT"
] | null | null | null | /usr/local/lib/python3.5/ntpath.py | 34 | 34 | 0.794118 |
c6b80b4ac15564104f5c74aa545f0e3723588964 | 9,265 | py | Python | src/onegov/org/forms/extensions.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/org/forms/extensions.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/org/forms/extensions.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | from cached_property import cached_property
from sedate import utcnow, to_timezone
from onegov.core.html_diff import render_html_diff
from onegov.form.extensions import FormExtension
from onegov.form.submissions import prepare_for_submission
from onegov.form.fields import HoneyPotField
from onegov.form.fields import T... | 34.962264 | 79 | 0.544954 |
05f9c9aed4ee3878bd55719ab994d17235b2459b | 1,752 | py | Python | tools/pythonpkg/tests/fast/pandas/test_pandas_object.py | AldoMyrtaj/duckdb | 3aa4978a2ceab8df25e4b20c388bcd7629de73ed | [
"MIT"
] | 2,816 | 2018-06-26T18:52:52.000Z | 2021-04-06T10:39:15.000Z | tools/pythonpkg/tests/fast/pandas/test_pandas_object.py | AldoMyrtaj/duckdb | 3aa4978a2ceab8df25e4b20c388bcd7629de73ed | [
"MIT"
] | 1,310 | 2021-04-06T16:04:52.000Z | 2022-03-31T13:52:53.000Z | tools/pythonpkg/tests/fast/pandas/test_pandas_object.py | AldoMyrtaj/duckdb | 3aa4978a2ceab8df25e4b20c388bcd7629de73ed | [
"MIT"
] | 270 | 2021-04-09T06:18:28.000Z | 2022-03-31T11:55:37.000Z | import pandas as pd
import duckdb
import datetime
from numpy import array
import random
class TestPandasObject(object):
def test_object_to_string(self, duckdb_cursor):
con = duckdb.connect(database=':memory:', read_only=False)
x = pd.DataFrame([[1, 'a', 2],[1, None, 2], [1, 1.1, 2], [1, ... | 50.057143 | 97 | 0.531393 |
af227f8e34b7e119198f35baa27549af56f740b0 | 1,033 | py | Python | Graph/BFS.py | dileeppandey/hello-interview | 78f6cf4e2da4106fd07f4bd86247026396075c69 | [
"MIT"
] | null | null | null | Graph/BFS.py | dileeppandey/hello-interview | 78f6cf4e2da4106fd07f4bd86247026396075c69 | [
"MIT"
] | null | null | null | Graph/BFS.py | dileeppandey/hello-interview | 78f6cf4e2da4106fd07f4bd86247026396075c69 | [
"MIT"
] | 1 | 2020-02-12T16:57:46.000Z | 2020-02-12T16:57:46.000Z | """
BFS traversal of a graph
Credit: https://courses.csail.mit.edu/6.006/fall11/rec/rec13.pdf
"""
from collections import deque, OrderedDict
class BFSResult:
def __init__(self):
self.level = OrderedDict()
self.parent = OrderedDict()
class Graph:
def __init__(self):
self.adj = {}
d... | 21.978723 | 78 | 0.513069 |
ab7dce0b469605fe692eeb66617008f5e2e7aaf6 | 200 | py | Python | zencad/examples/1.GeomPrim/3.prim1d/interpolate.py | Spiritdude/zencad | 4e63b1a6306dd235f4daa2791b10249f7546c95b | [
"MIT"
] | 5 | 2018-04-11T14:11:40.000Z | 2018-09-12T19:03:36.000Z | zencad/examples/1.GeomPrim/3.prim1d/interpolate.py | Spiritdude/zencad | 4e63b1a6306dd235f4daa2791b10249f7546c95b | [
"MIT"
] | null | null | null | zencad/examples/1.GeomPrim/3.prim1d/interpolate.py | Spiritdude/zencad | 4e63b1a6306dd235f4daa2791b10249f7546c95b | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
from zencad import *
m = interpolate([
(0, 0),
(10, 0),
(20, 10),
(0, 5, 10),
],
tangs=[
None,
None,
None,
None
])
disp(m)
show()
| 10 | 22 | 0.435 |
e984ef827803eeaf301a98b21940d3244a9b2099 | 1,640 | py | Python | app/views/parsers/document_parsers.py | zhiyong-lv/flask-login | d8bf0719bae19ba8f7f44ea6d6a8ca65ba22aa63 | [
"MIT"
] | null | null | null | app/views/parsers/document_parsers.py | zhiyong-lv/flask-login | d8bf0719bae19ba8f7f44ea6d6a8ca65ba22aa63 | [
"MIT"
] | null | null | null | app/views/parsers/document_parsers.py | zhiyong-lv/flask-login | d8bf0719bae19ba8f7f44ea6d6a8ca65ba22aa63 | [
"MIT"
] | null | null | null | from flask_restplus import reqparse, fields
def generate_document_input_parser():
document_input_parser = reqparse.RequestParser()
document_input_parser.add_argument('title', location='json', help='The document title')
document_input_parser.add_argument('content', location='json', help='The document conte... | 48.235294 | 118 | 0.712195 |
fb3a6fd49068f554b16b51a213deffc1734c7b65 | 650 | py | Python | haas_lib_bundles/python/docs/examples/auto_control_door/esp32/code/servo.py | wstong999/AliOS-Things | 6554769cb5b797e28a30a4aa89b3f4cb2ef2f5d9 | [
"Apache-2.0"
] | null | null | null | haas_lib_bundles/python/docs/examples/auto_control_door/esp32/code/servo.py | wstong999/AliOS-Things | 6554769cb5b797e28a30a4aa89b3f4cb2ef2f5d9 | [
"Apache-2.0"
] | null | null | null | haas_lib_bundles/python/docs/examples/auto_control_door/esp32/code/servo.py | wstong999/AliOS-Things | 6554769cb5b797e28a30a4aa89b3f4cb2ef2f5d9 | [
"Apache-2.0"
] | null | null | null | """
HaaSPython PWM driver for servo
舵机传感器驱动
"""
from driver import PWM
class SERVO(object):
def __init__(self, pwmObj):
self.pwmObj = None
if not isinstance(pwmObj, PWM):
raise ValueError("parameter is not an PWM object")
self.pwmObj = pwmObj
def setOptionSero(self,data)... | 22.413793 | 71 | 0.606154 |
34d7980c9ee963043154b37dc1caa42c63841cd1 | 342 | py | Python | service/wkb/poseMusic/Piano/setup.py | wangkaibiao/SettlersFinancialData3 | 498249e14f24bfa3186f07e8f66ee624d08c6ff1 | [
"MIT"
] | null | null | null | service/wkb/poseMusic/Piano/setup.py | wangkaibiao/SettlersFinancialData3 | 498249e14f24bfa3186f07e8f66ee624d08c6ff1 | [
"MIT"
] | null | null | null | service/wkb/poseMusic/Piano/setup.py | wangkaibiao/SettlersFinancialData3 | 498249e14f24bfa3186f07e8f66ee624d08c6ff1 | [
"MIT"
] | null | null | null | # coding: utf-8
import os
import platform
# 获取python版本和操作系统类型
version = platform.python_version_tuple()
system = platform.system()
# 拼接命令
if version[0] == '3':
if system == 'Windows':
command = 'pip install'
else:
command = 'pip3 install'
else:
command = 'pip install'
command += ' mp3pla... | 16.285714 | 41 | 0.652047 |
5513b4a111d9c98209968cd9cfedf45026931c1b | 533 | py | Python | dataChange.py | sambabypapapa/CralwerSet | a76e0660c42ce7aac20b8d07ccc454b6636a8a2a | [
"Apache-2.0"
] | 5 | 2020-08-17T08:37:16.000Z | 2021-06-07T05:02:05.000Z | dataChange.py | sambabypapapa/CralwerSet | a76e0660c42ce7aac20b8d07ccc454b6636a8a2a | [
"Apache-2.0"
] | null | null | null | dataChange.py | sambabypapapa/CralwerSet | a76e0660c42ce7aac20b8d07ccc454b6636a8a2a | [
"Apache-2.0"
] | 1 | 2021-06-07T05:02:10.000Z | 2021-06-07T05:02:10.000Z | """
将cm_text 文案转移到cm_text_new库中
"""
import CralwerSet.connect_mysql as connect_mysql
import traceback
conn = connect_mysql.w_shark_erp()
cur = conn.cursor()
try:
for i in range(12950641, 53503537, 100000):
print(i)
sql = f"INSERT INTO cm_text_new(URL_ID,TEXT) SELECT IFNULL(URL_ID, 0),TEXT FROM cm_... | 23.173913 | 132 | 0.65666 |
9b482e5ea2974ae6fd066d085bf39778cf8d9043 | 1,874 | py | Python | test/test_npu/test_sort.py | Ascend/pytorch | 39849cf72dafe8d2fb68bd1679d8fd54ad60fcfc | [
"BSD-3-Clause"
] | 1 | 2021-12-02T03:07:35.000Z | 2021-12-02T03:07:35.000Z | test/test_npu/test_sort.py | Ascend/pytorch | 39849cf72dafe8d2fb68bd1679d8fd54ad60fcfc | [
"BSD-3-Clause"
] | 1 | 2021-11-12T07:23:03.000Z | 2021-11-12T08:28:13.000Z | test/test_npu/test_sort.py | Ascend/pytorch | 39849cf72dafe8d2fb68bd1679d8fd54ad60fcfc | [
"BSD-3-Clause"
] | null | null | null | # Copyright (c) 2020 Huawei Technologies Co., Ltd
# Copyright (c) 2019, Facebook CORPORATION.
# All rights reserved.
#
# Licensed under the BSD 3-Clause License (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://opensource.org/lice... | 36.038462 | 75 | 0.719851 |
fd56c0fb7145de723b3146249863139b1b49080d | 4,883 | py | Python | deprecated/examples/word2vec/eval.py | hutuxian/FleetX | 843c7aa33f5a14680becf058a3aaf0327eefafd4 | [
"Apache-2.0"
] | 170 | 2020-08-12T12:07:01.000Z | 2022-03-07T02:38:26.000Z | deprecated/examples/word2vec/eval.py | hutuxian/FleetX | 843c7aa33f5a14680becf058a3aaf0327eefafd4 | [
"Apache-2.0"
] | 195 | 2020-08-13T03:22:15.000Z | 2022-03-30T07:40:25.000Z | deprecated/examples/word2vec/eval.py | hutuxian/FleetX | 843c7aa33f5a14680becf058a3aaf0327eefafd4 | [
"Apache-2.0"
] | 67 | 2020-08-14T02:07:46.000Z | 2022-03-28T10:05:33.000Z | import paddle
import paddle.fluid as fluid
from conf import *
import logging
import six
import numpy as np
from network import word2vec_infer_net
logging.basicConfig(format='%(asctime)s - %(levelname)s - %(message)s')
logger = logging.getLogger("fluid")
logger.setLevel(logging.INFO)
def native_to_unicode(s):
if ... | 34.387324 | 114 | 0.554168 |
1fe3e29c78468a53b5835c09907d453a938d59c1 | 15,365 | py | Python | src/backend/test.py | tonyLyx1/CSC4001-Better-SIS | 98c69317a2c2ea4bfe45b3fc6f3db4766c4aae91 | [
"MIT"
] | 2 | 2021-04-07T03:12:33.000Z | 2021-05-25T10:01:40.000Z | src/backend/test.py | tonyLyx1/CSC4001-Better-SIS | 98c69317a2c2ea4bfe45b3fc6f3db4766c4aae91 | [
"MIT"
] | null | null | null | src/backend/test.py | tonyLyx1/CSC4001-Better-SIS | 98c69317a2c2ea4bfe45b3fc6f3db4766c4aae91 | [
"MIT"
] | 3 | 2021-04-07T03:12:44.000Z | 2021-04-13T11:21:03.000Z | import unittest
import time
import os
from utils.printing import iter_to_str
from course import Course, Instructor, Session
from student import Student
from schedule import Schedule
from get_instance import get_student, get_course, courses, instructors
from DB.dbModels import db
import DB.dbModels as dbMdl
'''
Un... | 44.025788 | 103 | 0.510901 |
952b1dafd087a620eb515309058ada068f3da878 | 9,136 | py | Python | tests/testbase.py | MePyDo/pygqa | 61cde42ee815968fdd029cc5056ede3badea3d91 | [
"MIT"
] | null | null | null | tests/testbase.py | MePyDo/pygqa | 61cde42ee815968fdd029cc5056ede3badea3d91 | [
"MIT"
] | null | null | null | tests/testbase.py | MePyDo/pygqa | 61cde42ee815968fdd029cc5056ede3badea3d91 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
'''
Use Ghostscript (gs) to convert pdf to png. Solution found in /tests/conftest.py
render_png() shape size A4 210x297mm
Parsing PDF in imagemagick has been disabled
- it can be enabled manually by editing /etc/ImageMagick-7/policy.xml file and removing PDF
from <policy domain="coder" ri... | 34.217228 | 118 | 0.560749 |
1f9861fcba9cfad42f917bf7488d46c4f73bf1f4 | 730 | py | Python | books/PythonAutomate/csv_json_files/csv_writer_obj.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | books/PythonAutomate/csv_json_files/csv_writer_obj.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | books/PythonAutomate/csv_json_files/csv_writer_obj.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | """csv_writer_obj.py
csv 모듈의 write obj 활용
"""
import csv
# 윈도우 OS에서는 newline을 세팅해주지 않으면 2줄 개행이 됨
output_file = open("output.csv", "w", newline="")
output_writer = csv.writer(output_file)
output_writer.writerow(["spam", "eggs", "bacon", "ham"])
output_writer.writerow(["Hello,world!", "eggs", "bacon", "ham"])
output_wr... | 28.076923 | 72 | 0.679452 |
2f1c183a7a25514a5df03d109edd9309f22e112c | 5,163 | py | Python | deprecated/benchmark/ps/distribute_word2vec/tensorflow/word2vec.py | hutuxian/FleetX | 843c7aa33f5a14680becf058a3aaf0327eefafd4 | [
"Apache-2.0"
] | 170 | 2020-08-12T12:07:01.000Z | 2022-03-07T02:38:26.000Z | deprecated/benchmark/ps/distribute_word2vec/tensorflow/word2vec.py | hutuxian/FleetX | 843c7aa33f5a14680becf058a3aaf0327eefafd4 | [
"Apache-2.0"
] | 195 | 2020-08-13T03:22:15.000Z | 2022-03-30T07:40:25.000Z | deprecated/benchmark/ps/distribute_word2vec/tensorflow/word2vec.py | hutuxian/FleetX | 843c7aa33f5a14680becf058a3aaf0327eefafd4 | [
"Apache-2.0"
] | 67 | 2020-08-14T02:07:46.000Z | 2022-03-28T10:05:33.000Z | # Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 40.653543 | 182 | 0.671121 |
2f658e1f94e0ed89d1eb4e2b62ba660190567eb3 | 3,583 | py | Python | src/script/ClientPyChat.py | sera619/PythonSocksChat | 21fbaf3e768a0fa33b110c9b6281a7bb3ff45af7 | [
"MIT"
] | null | null | null | src/script/ClientPyChat.py | sera619/PythonSocksChat | 21fbaf3e768a0fa33b110c9b6281a7bb3ff45af7 | [
"MIT"
] | null | null | null | src/script/ClientPyChat.py | sera619/PythonSocksChat | 21fbaf3e768a0fa33b110c9b6281a7bb3ff45af7 | [
"MIT"
] | null | null | null | import errno
import select
import socket
import sys
print(f"""
.oooooo..o .oooo. ooooooooo. .o .oooo. .oooo.
d8P' `Y8 .dP""Y88b `888 `Y88. .d88 .dP""Y88b .dP""Y88b
Y88bo. ]8P' 888 .d88' .d'888 ]8P' .ooooo. ]8P'
`"Y8888o. <8... | 41.662791 | 96 | 0.461903 |
c86f431dc32dbd98ae81fa3d3d5c153a6c4aab0c | 173 | py | Python | tutorial.py | nikhadif/Advanced-Programming | e5bf4f5014c17c252bc0cb93c9d44c7c615b79c0 | [
"MIT"
] | 1 | 2020-11-21T16:57:40.000Z | 2020-11-21T16:57:40.000Z | tutorial.py | nikhadif/Advanced-Programming | e5bf4f5014c17c252bc0cb93c9d44c7c615b79c0 | [
"MIT"
] | null | null | null | tutorial.py | nikhadif/Advanced-Programming | e5bf4f5014c17c252bc0cb93c9d44c7c615b79c0 | [
"MIT"
] | null | null | null | age = input(input("Enter your age in years: "))
max_heart_rate = 206.9 - (0.67 * age)
target = 0.65 * max_heart_rate
print("Your target fat-burning heart rate is ", target)
| 34.6 | 55 | 0.699422 |
7401c7068e47ee4ad31860223fb6c4608c384e68 | 601 | py | Python | algorithms/ar-lcs/python2/longest_common_subsequence.py | NuclearCactus/FOSSALGO | eb66f3bdcd6c42c66e8fc7110a32ac021596ca66 | [
"MIT"
] | 59 | 2018-09-11T17:40:25.000Z | 2022-03-03T14:40:39.000Z | algorithms/ar-lcs/python2/longest_common_subsequence.py | RitvikDayal/FOSSALGO | ae225a5fffbd78d0dff83fd7b178ba47bfd7a769 | [
"MIT"
] | 468 | 2018-08-28T17:04:29.000Z | 2021-12-03T15:16:34.000Z | algorithms/ar-lcs/python2/longest_common_subsequence.py | RitvikDayal/FOSSALGO | ae225a5fffbd78d0dff83fd7b178ba47bfd7a769 | [
"MIT"
] | 253 | 2018-08-28T17:08:51.000Z | 2021-11-01T12:30:39.000Z | def LongestCommonSubsequence(A, B):
row, col = len(A), len(B)
# constructing the dp matrix intialized with zeros
dp = []
for _ in range(row + 1):
dp.append([0] * (col + 1))
for i in range(1, row + 1):
for j in range(1, col + 1):
if A[i - 1] == B[j - 1]:
d... | 28.619048 | 67 | 0.490849 |
a823ca0fae215d503e16e9e0582b3c4d77ce9f88 | 1,043 | py | Python | WiSe-2122/Uebung-8/U8-A2_Warteschlange-2.py | jonasrdt/Wirtschaftsinformatik2 | 30d5d896808b98664c55cb6fbb3b30a7f1904d9f | [
"MIT"
] | 1 | 2022-03-23T09:40:39.000Z | 2022-03-23T09:40:39.000Z | WiSe-2122/Uebung-8/U8-A2_Warteschlange-2.py | jonasrdt/Wirtschaftsinformatik2 | 30d5d896808b98664c55cb6fbb3b30a7f1904d9f | [
"MIT"
] | null | null | null | WiSe-2122/Uebung-8/U8-A2_Warteschlange-2.py | jonasrdt/Wirtschaftsinformatik2 | 30d5d896808b98664c55cb6fbb3b30a7f1904d9f | [
"MIT"
] | null | null | null | # Im Einwohnermeldeamt soll ein neues System implementiert werden.
# Ankommende Besucher müssen sich mit ihrem Namen anmelden. Jeder weitere Besucher stellt sich danach
# „hinten“ an. Es entsteht ein Warteschlange (Liste). Die Besucher werden der Reihe nach aufgerufen
# und verlassen die Warteschlange (First-In-First-O... | 33.645161 | 101 | 0.765101 |
a8377986f797a2478ccd0b06f31e178ebdf2b25d | 1,041 | py | Python | pyconuk/migrations/0004_scheduleslot.py | OddBloke/2016.pyconuk.org | 831d510a83c9cab8541198005c8024003b5049f5 | [
"MIT"
] | null | null | null | pyconuk/migrations/0004_scheduleslot.py | OddBloke/2016.pyconuk.org | 831d510a83c9cab8541198005c8024003b5049f5 | [
"MIT"
] | null | null | null | pyconuk/migrations/0004_scheduleslot.py | OddBloke/2016.pyconuk.org | 831d510a83c9cab8541198005c8024003b5049f5 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.9.7 on 2016-08-11 10:06
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('pyconuk', '0003_sponsor'),
]
operations = [
... | 32.53125 | 125 | 0.573487 |
b55bc243af609d4ee25eb75a0aca1d035380bc5e | 246 | py | Python | Online-Judges/LeetCode/1662.Check_If_Two_String_Arrays_are_Equivalent.py | shihab4t/Competitive-Programming | e8eec7d4f7d86bfa1c00b7fbbedfd6a1518f19be | [
"Unlicense"
] | 3 | 2021-06-15T01:19:23.000Z | 2022-03-16T18:23:53.000Z | Online-Judges/LeetCode/1662.Check_If_Two_String_Arrays_are_Equivalent.py | shihab4t/Competitive-Programming | e8eec7d4f7d86bfa1c00b7fbbedfd6a1518f19be | [
"Unlicense"
] | null | null | null | Online-Judges/LeetCode/1662.Check_If_Two_String_Arrays_are_Equivalent.py | shihab4t/Competitive-Programming | e8eec7d4f7d86bfa1c00b7fbbedfd6a1518f19be | [
"Unlicense"
] | null | null | null | class Solution:
def arrayStringsAreEqual(self, word1: List[str], word2: List[str]) -> bool:
st1, st2 = "", ""
for ith in word1:
st1 += ith
for ith in word2:
st2 += ith
return st1 == st2
| 27.333333 | 79 | 0.504065 |
b5b39cd942049af5561d97c7b4777c9bf0777f7b | 2,103 | py | Python | Licence 1/I21/TP4/tris.py | axelcoezard/licence | 1ed409c4572dea080169171beb7e8571159ba071 | [
"MIT"
] | 8 | 2020-11-26T20:45:12.000Z | 2021-11-29T15:46:22.000Z | Licence 1/I21/TP4/tris.py | axelcoezard/licence | 1ed409c4572dea080169171beb7e8571159ba071 | [
"MIT"
] | null | null | null | Licence 1/I21/TP4/tris.py | axelcoezard/licence | 1ed409c4572dea080169171beb7e8571159ba071 | [
"MIT"
] | 6 | 2020-10-23T15:29:24.000Z | 2021-05-05T19:10:45.000Z | from random import randint
import matplotlib.pyplot as plt
def rand_table(n, a, b):
return [randint(a, b) for i in range(n)]
def tri_insertion(l):
tri = [i for i in l]
index = 1
count = 0
while index < len(tri):
j = index - 1
k = tri[index]
while j >= 0 and k < tri[j]:
... | 21.459184 | 45 | 0.471232 |
a96d2ac8635cf9b90096d5e33147508838a13548 | 3,028 | py | Python | deprecated/benchmark/ps/distribute_ctr/tensorflow/data_dnn_process.py | hutuxian/FleetX | 843c7aa33f5a14680becf058a3aaf0327eefafd4 | [
"Apache-2.0"
] | 170 | 2020-08-12T12:07:01.000Z | 2022-03-07T02:38:26.000Z | deprecated/benchmark/ps/distribute_ctr/tensorflow/data_dnn_process.py | hutuxian/FleetX | 843c7aa33f5a14680becf058a3aaf0327eefafd4 | [
"Apache-2.0"
] | 195 | 2020-08-13T03:22:15.000Z | 2022-03-30T07:40:25.000Z | deprecated/benchmark/ps/distribute_ctr/tensorflow/data_dnn_process.py | hutuxian/FleetX | 843c7aa33f5a14680becf058a3aaf0327eefafd4 | [
"Apache-2.0"
] | 67 | 2020-08-14T02:07:46.000Z | 2022-03-28T10:05:33.000Z | # Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appli... | 37.85 | 93 | 0.6179 |
f5388e8b40c07ce591a14185c06b7bbbe3943e96 | 400 | py | Python | tests/test_pycharmbug.py | mcarans/pycharmbug | 656f92d2ac8c07a027a4cca95a929a8f1ff4875d | [
"MIT"
] | null | null | null | tests/test_pycharmbug.py | mcarans/pycharmbug | 656f92d2ac8c07a027a4cca95a929a8f1ff4875d | [
"MIT"
] | null | null | null | tests/test_pycharmbug.py | mcarans/pycharmbug | 656f92d2ac8c07a027a4cca95a929a8f1ff4875d | [
"MIT"
] | 1 | 2021-08-14T05:41:22.000Z | 2021-08-14T05:41:22.000Z | # -*- coding: UTF-8 -*-
"""Dataset Title Helper Tests"""
from datetime import datetime
from hdx.data.dataset_title_helper import DatasetTitleHelper
class TestDatasetTitleHelper:
def test_get_date_from_title(self):
assert DatasetTitleHelper.get_dates_from_title('Myanmar Town 2019 July') == \
... | 33.333333 | 92 | 0.6975 |
191a6341e2b9a4f9fdb9c23ec334791fe7a52f5b | 642 | py | Python | params.py | abhisheksharma026/AutoML | cc30d38e9e1a8a885ded15d40ed1584b3a4d6d34 | [
"MIT"
] | null | null | null | params.py | abhisheksharma026/AutoML | cc30d38e9e1a8a885ded15d40ed1584b3a4d6d34 | [
"MIT"
] | null | null | null | params.py | abhisheksharma026/AutoML | cc30d38e9e1a8a885ded15d40ed1584b3a4d6d34 | [
"MIT"
] | null | null | null | from libraries import *
hyperparameter_space = [space.Integer(3, 10, name = 'depth'),
space.Real(0.005, 0.01, name = 'learning_rate'),
space.Real(0.1, 0.9, name = 'bagging_temperature'),
space.Integer(1, 10, name = 'l2_leaf_reg'),
... | 40.125 | 75 | 0.484424 |
1935493c3abbfb0cba7d0bd41d5a3e87821ef720 | 3,060 | py | Python | shinrl/solvers/discrete_pi/_step_mixin.py | omron-sinicx/ShinRL | 09f4ae274a33d1fc1d9d542f816aef40014af6b5 | [
"MIT"
] | 34 | 2021-12-09T07:12:57.000Z | 2022-03-11T08:17:20.000Z | shinrl/solvers/discrete_pi/_step_mixin.py | omron-sinicx/ShinRL | 09f4ae274a33d1fc1d9d542f816aef40014af6b5 | [
"MIT"
] | null | null | null | shinrl/solvers/discrete_pi/_step_mixin.py | omron-sinicx/ShinRL | 09f4ae274a33d1fc1d9d542f816aef40014af6b5 | [
"MIT"
] | 4 | 2021-12-11T07:48:01.000Z | 2022-03-01T23:50:33.000Z | """MixIns to execute one-step update.
Author: Toshinori Kitamura
Affiliation: NAIST & OSX
"""
from copy import deepcopy
from typing import Optional
import gym
import shinrl as srl
from .config import PiConfig
class TabularDpStepMixIn:
def step(self):
# Update Policy & Q tables
self.data["LogPol... | 31.22449 | 82 | 0.606209 |
27170410a8c505784a2ae51a8711922d293a70ef | 1,625 | py | Python | Crossbar/crossbar_test/argparseExample.py | cartellefo/projet | 23c67e847b415fb47f71e830b89a227fffed109b | [
"MIT"
] | null | null | null | Crossbar/crossbar_test/argparseExample.py | cartellefo/projet | 23c67e847b415fb47f71e830b89a227fffed109b | [
"MIT"
] | null | null | null | Crossbar/crossbar_test/argparseExample.py | cartellefo/projet | 23c67e847b415fb47f71e830b89a227fffed109b | [
"MIT"
] | null | null | null | # if __name__ == '__main__' :
# ApplicationRunner(
# url = 'wss://demo.crossbar.io/ws', # Même routeur que le composant JS
# realm = 'realm1', # Même namespace que le composant JS
# extra = {'msg' : 'Mouarfarfarf !'} # Paramètres passés au composant Python
# ).run(SexyComponent)
import argparse
import analysis.csv a... | 28.017241 | 129 | 0.668923 |
27ab0e93b35dce09da4f6375b943db35f54bf441 | 406 | py | Python | app/decorators.py | marwanad/music_bot | c7a9c704f510d455fc6d1d7c057d5cfa31dcd7cf | [
"MIT"
] | 1 | 2020-12-07T13:30:59.000Z | 2020-12-07T13:30:59.000Z | app/decorators.py | marwanad/music_bot | c7a9c704f510d455fc6d1d7c057d5cfa31dcd7cf | [
"MIT"
] | null | null | null | app/decorators.py | marwanad/music_bot | c7a9c704f510d455fc6d1d7c057d5cfa31dcd7cf | [
"MIT"
] | null | null | null | from app import db
def check_state(*wargs):
def wrap(fn):
def wrapper(*args, **kwargs):
game = args[1]
if game.state in wargs:
fn(*args, **kwargs)
db.session.commit()
else:
from handlers import handler
hand... | 22.555556 | 64 | 0.512315 |
27f640d6d716673d654feabf7680e5891cbbc1d3 | 606 | py | Python | comp/microsoft/has_solution/005_longest_substr_without_2_contiguous_occur_of_letter.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 1 | 2015-12-16T04:01:03.000Z | 2015-12-16T04:01:03.000Z | comp/microsoft/has_solution/005_longest_substr_without_2_contiguous_occur_of_letter.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 1 | 2016-02-09T06:00:07.000Z | 2016-02-09T07:20:13.000Z | comp/microsoft/has_solution/005_longest_substr_without_2_contiguous_occur_of_letter.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 2 | 2019-06-27T09:07:26.000Z | 2019-07-01T04:40:13.000Z | class Solution:
def longest_substr(self, s):
res = []
ac, bc = 0, 0
start = 0
for i, l in enumerate(s):
if l == 'a':
ac += 1
bc = 0
elif l == 'b':
bc += 1
ac = 0
if ac == 3 or bc == 3 ... | 31.894737 | 95 | 0.334983 |
7e00f0c41469d77210eabb5ccb0e1c6a470b4cf2 | 5,883 | py | Python | Online-Courses/gans/utils.py | gopala-kr/ds-notebooks | bc35430ecdd851f2ceab8f2437eec4d77cb59423 | [
"MIT"
] | 1 | 2019-05-10T09:16:23.000Z | 2019-05-10T09:16:23.000Z | Online-Courses/gans/utils.py | gopala-kr/ds-notebooks | bc35430ecdd851f2ceab8f2437eec4d77cb59423 | [
"MIT"
] | null | null | null | Online-Courses/gans/utils.py | gopala-kr/ds-notebooks | bc35430ecdd851f2ceab8f2437eec4d77cb59423 | [
"MIT"
] | 1 | 2019-10-14T07:30:18.000Z | 2019-10-14T07:30:18.000Z | import os
import numpy as np
import errno
import torchvision.utils as vutils
from tensorboardX import SummaryWriter
from IPython import display
from matplotlib import pyplot as plt
import torch
'''
TensorBoard Data will be stored in './runs' path
'''
class Logger:
def __init__(self, model_name, data_name):
... | 34.00578 | 114 | 0.570287 |
7e0c7360cb4fc3b74d3575fe05bf3a83e6c59a89 | 5,932 | py | Python | mltrain-nips-2017/ben_athiwaratkun/pytorch-bayesgan/models/discriminators.py | gopala-kr/ds-notebooks | bc35430ecdd851f2ceab8f2437eec4d77cb59423 | [
"MIT"
] | 1 | 2019-05-10T09:16:23.000Z | 2019-05-10T09:16:23.000Z | mltrain-nips-2017/ben_athiwaratkun/pytorch-bayesgan/models/discriminators.py | gopala-kr/ds-notebooks | bc35430ecdd851f2ceab8f2437eec4d77cb59423 | [
"MIT"
] | null | null | null | mltrain-nips-2017/ben_athiwaratkun/pytorch-bayesgan/models/discriminators.py | gopala-kr/ds-notebooks | bc35430ecdd851f2ceab8f2437eec4d77cb59423 | [
"MIT"
] | 1 | 2019-10-14T07:30:18.000Z | 2019-10-14T07:30:18.000Z | import torch
import torch.nn as nn
class _netD64(nn.Module):
def __init__(self, ngpu, num_classes=1, nc=3, ndf=64):
super(_netD64, self).__init__()
self.ngpu = ngpu
self.num_classes = num_classes
self.main = nn.Sequential(
# input is (nc) x 64 x 64
nn.Conv2d(... | 37.308176 | 82 | 0.538604 |
fd7caeff762b3f3a98cc43be879b2a2d83cbf6c3 | 1,274 | py | Python | code/logic/bt_test_sm.py | dieterpl/iDogstra | 62ee246763e107335b9caf0a4f96239fa0953234 | [
"MIT"
] | null | null | null | code/logic/bt_test_sm.py | dieterpl/iDogstra | 62ee246763e107335b9caf0a4f96239fa0953234 | [
"MIT"
] | null | null | null | code/logic/bt_test_sm.py | dieterpl/iDogstra | 62ee246763e107335b9caf0a4f96239fa0953234 | [
"MIT"
] | null | null | null | from logic.statemachine import *
from utils.functions import current_time_millis
from sensors.bluetooth import bluetooth, bluetooth_pipelines
from sensors import pipeline
from sensors.camera import camera, camera_pipelines
from sensors.ultrasonic import ultrasonic_pipelines, ultrasonic
from sensors.infrared import infr... | 28.954545 | 110 | 0.732339 |
8b75968313293cb53eda5e5c8c07b0a8a2eef443 | 575 | py | Python | python/tests/test_constructing.py | Obarads/Point_Cloud_Tutorial | faf7ae8abf962ecea414cc7557dc35f4fca0e406 | [
"MIT"
] | 1 | 2021-11-22T10:32:49.000Z | 2021-11-22T10:32:49.000Z | python/tests/test_constructing.py | Obarads/Point_Cloud_Tutorial | faf7ae8abf962ecea414cc7557dc35f4fca0e406 | [
"MIT"
] | 1 | 2021-12-09T14:39:51.000Z | 2021-12-09T14:39:51.000Z | python/tests/test_constructing.py | Obarads/Point_Cloud_Tutorial | faf7ae8abf962ecea414cc7557dc35f4fca0e406 | [
"MIT"
] | null | null | null | import os
from os.path import join as opj
import numpy as np
from tutlibs.constructing import mesh_to_point, point_to_voxel
from tutlibs.io import Mesh, Points
from tutlibs.visualization import JupyterVisualizer as jv
def test_mesh_to_point(data_dir_path: str):
vertices, triangles, data = Mesh.read(opj(data_dir_... | 28.75 | 77 | 0.763478 |
47f39cdbc0d0cc0c919d70614483d6dded664514 | 4,529 | py | Python | RevIP-main/revip.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | 2 | 2021-11-17T03:35:03.000Z | 2021-12-08T06:00:31.000Z | RevIP-main/revip.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | null | null | null | RevIP-main/revip.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | 2 | 2021-11-05T18:07:48.000Z | 2022-02-24T21:25:07.000Z | from urllib3.util.retry import Retry
import requests
from requests.adapters import HTTPAdapter
import sys
import random
import requests, threading, os
import os.path
import threading
import json
from multiprocessing.dummy import Pool as ThreadPool
from colorama import Fore, init, Style
init(autoreset=True)
os.system('c... | 33.798507 | 133 | 0.488408 |
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