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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
dc9e80b17d900ec90393870f8906fe436c356ec1 | 1,488 | py | Python | DataStructures/Tree/SwapNodes.py | baby5/HackerRank | 1e68a85f40499adb9b52a4da16936f85ac231233 | [
"MIT"
] | null | null | null | DataStructures/Tree/SwapNodes.py | baby5/HackerRank | 1e68a85f40499adb9b52a4da16936f85ac231233 | [
"MIT"
] | null | null | null | DataStructures/Tree/SwapNodes.py | baby5/HackerRank | 1e68a85f40499adb9b52a4da16936f85ac231233 | [
"MIT"
] | null | null | null | #coding:utf-8
class Node(object):
def __init__(self, data=None, left=None, right=None):
self.data = data
self.left = left
self.right = right
'''
def Inorder(root):
if root:
Inorder(root.left)
print root.data,
Inorder(root.right)
'''
def Inorder(root):
stack =... | 21.882353 | 57 | 0.531586 |
f492bed62e1882e3e6396c6cfee470471ba493a9 | 1,834 | py | Python | Python/Buch_ATBS/Teil_1/Kapitel_06_Stringbearbeitung/02_string_manipulation.py | Apop85/Scripts | e71e1c18539e67543e3509c424c7f2d6528da654 | [
"MIT"
] | null | null | null | Python/Buch_ATBS/Teil_1/Kapitel_06_Stringbearbeitung/02_string_manipulation.py | Apop85/Scripts | e71e1c18539e67543e3509c424c7f2d6528da654 | [
"MIT"
] | 6 | 2020-12-24T15:15:09.000Z | 2022-01-13T01:58:35.000Z | Python/Buch_ATBS/Teil_1/Kapitel_06_Stringbearbeitung/02_string_manipulation.py | Apop85/Scripts | 1d8dad316c55e1f1343526eac9e4b3d0909e4873 | [
"MIT"
] | null | null | null | # Manipulation von Strings
teststring='das ist EIN TEsTsTRInG'
low='lower'
upp='UPPER'
print('Stirings wie dieser:['+teststring+'] Können auch manipuliert werden')
print()
input()
print('Man kann z.b. mit upper() den kompletten Inhalt des Strings\nin Grossbuchstaben schreiben.')
print('Beispiel:', teststring.upper())... | 33.962963 | 202 | 0.700109 |
f498818387aca8d1ffbc362c5834f282b3df40c7 | 1,979 | py | Python | src/wrapped/spotify_access.py | willfurtado/SMAS | d094c9e021cd863e7f59ec171f0e46572aff4944 | [
"MIT"
] | null | null | null | src/wrapped/spotify_access.py | willfurtado/SMAS | d094c9e021cd863e7f59ec171f0e46572aff4944 | [
"MIT"
] | null | null | null | src/wrapped/spotify_access.py | willfurtado/SMAS | d094c9e021cd863e7f59ec171f0e46572aff4944 | [
"MIT"
] | null | null | null | import spotipy
from secrets import CLIENT_ID, CLIENT_SECRET, REDIRECT_URI
from spotipy.oauth2 import SpotifyOAuth
class SpotifyAccess:
"Spotify API abstraction"
def __init__(self, username, scope):
self.name = username
self.client_id = CLIENT_ID
self.client_secret = CLIENT_SECRET
... | 30.446154 | 82 | 0.48762 |
87558778217907e7ad6e2757d46f7b63f196d6c0 | 614 | py | Python | Python/zzz_training_challenge/Python_Challenge/solutions/ch03_recursion/solutions/ex03_gcd.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | Python/zzz_training_challenge/Python_Challenge/solutions/ch03_recursion/solutions/ex03_gcd.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | Python/zzz_training_challenge/Python_Challenge/solutions/ch03_recursion/solutions/ex03_gcd.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | # Beispielprogramm für das Buch "Python Challenge"
#
# Copyright 2020 by Michael Inden
def gcd(a, b):
# rekursiver Abbruch
if b == 0:
return a
# rekursiver Abstieg
return gcd(b, a % b)
def gcd_iterative(a, b):
while b != 0:
remainder = a % b
a = b
b = remainder
... | 14.619048 | 50 | 0.54886 |
0d8798a4459cff7883b93d07ec3abd2396710c2a | 3,301 | py | Python | bin/oblique.py | username4gh/dotfiles | 6ab3e6a7eecb82f01fadfa40a961164df34af091 | [
"Unlicense"
] | 5 | 2017-04-18T20:21:06.000Z | 2020-12-28T05:44:39.000Z | bin/oblique.py | username4gh/dotfiles | 6ab3e6a7eecb82f01fadfa40a961164df34af091 | [
"Unlicense"
] | 35 | 2016-09-21T18:04:51.000Z | 2020-03-11T02:39:20.000Z | bin/oblique.py | username4gh/dotfiles | 6ab3e6a7eecb82f01fadfa40a961164df34af091 | [
"Unlicense"
] | 2 | 2018-12-17T03:16:35.000Z | 2020-10-18T10:09:01.000Z | #! /usr/bin/env python
# coding=UTF-8
# https://en.wikipedia.org/wiki/Oblique_Strategies
# https://traviscj.com/blog/oblique_programming_strategies.html
import random
import sys
strategies = [
'Solve the easiest possible problem in the dumbest possible way.',
'Write a test for it.',
'Is there... | 60.018182 | 235 | 0.690094 |
1d9f3242b01e5f1f01dbd28ac9421ff8c1a43857 | 3,805 | py | Python | frappe-bench/apps/erpnext/erpnext/agriculture/doctype/crop_cycle/crop_cycle.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/apps/erpnext/erpnext/agriculture/doctype/crop_cycle/crop_cycle.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/apps/erpnext/erpnext/agriculture/doctype/crop_cycle/crop_cycle.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright (c) 2017, Frappe Technologies Pvt. Ltd. and contributors
# For license information, please see license.txt
from __future__ import unicode_literals
import frappe
from frappe import _
from frappe.model.document import Document
import ast
class CropCycle(Document):
def validate(self)... | 36.586538 | 93 | 0.731143 |
d5226c97411f131e717abc22e12c0b3d226b34e1 | 3,446 | py | Python | test/test_npu/test_network_ops/test_split_with_sizes.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_split_with_sizes.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_split_with_sizes.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... | 41.518072 | 104 | 0.600406 |
6357cce4d583c7224a83f27e093a4b38c493a752 | 2,772 | py | Python | u1.py | watsondeservescredit/BIOINF101-Aufgabe-1 | d366195be0ee663ec1b7aae50230f9d64e7c7a6a | [
"MIT"
] | null | null | null | u1.py | watsondeservescredit/BIOINF101-Aufgabe-1 | d366195be0ee663ec1b7aae50230f9d64e7c7a6a | [
"MIT"
] | null | null | null | u1.py | watsondeservescredit/BIOINF101-Aufgabe-1 | d366195be0ee663ec1b7aae50230f9d64e7c7a6a | [
"MIT"
] | null | null | null | from itertools import product
#quick hack script. replace K in kmer function and DNA in check_mer_count function with your data.
#returns the most occured mers and their reverse also the maximum count these achieved in the line below
#this function reverses the sequence (c) bioinfo 101
def reverse(input_sequence):
... | 47.793103 | 883 | 0.762987 |
8931bf1a634ff1fdeb557edf81ff16bd5adbb4e3 | 102 | py | Python | packages/watchmen-pipeline-surface/src/watchmen_pipeline_surface/__init__.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | packages/watchmen-pipeline-surface/src/watchmen_pipeline_surface/__init__.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | packages/watchmen-pipeline-surface/src/watchmen_pipeline_surface/__init__.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | from .main import get_pipeline_surface_routers
from .surface import pipeline_surface, PipelineSurface
| 34 | 54 | 0.882353 |
f6efa192a45c3642639edc2fbe191fe680a1e3ad | 811 | py | Python | utils/set_logger.py | UESTC-Liuxin/SkmtSeg | 1251de57fae967aca395644d1c70a9ba0bb52271 | [
"Apache-2.0"
] | 2 | 2020-12-22T08:40:05.000Z | 2021-03-30T08:09:44.000Z | utils/set_logger.py | UESTC-Liuxin/SkmtSeg | 1251de57fae967aca395644d1c70a9ba0bb52271 | [
"Apache-2.0"
] | null | null | null | utils/set_logger.py | UESTC-Liuxin/SkmtSeg | 1251de57fae967aca395644d1c70a9ba0bb52271 | [
"Apache-2.0"
] | null | null | null | import os
import datetime
import logging
def get_logger(logdir):
logger = logging.getLogger()
logger.setLevel(logging.INFO)
ts = str(datetime.datetime.now()).split('.')[0].replace(' ', '_')
ts = ts.replace(':', '_').replace('-', '_')
file_path = os.path.join(logdir, 'run_{}.log'.format(ts))
h... | 25.34375 | 74 | 0.678175 |
121808267cd88566be6d48f7e597d5d6a0929315 | 6,919 | py | Python | test/test_projects.py | ekut-es/autojail | bc16e40e6df55c0a28a3059715851ffa59b14ba8 | [
"MIT"
] | 6 | 2020-08-12T08:16:15.000Z | 2022-03-05T02:25:53.000Z | test/test_projects.py | ekut-es/autojail | bc16e40e6df55c0a28a3059715851ffa59b14ba8 | [
"MIT"
] | 1 | 2021-03-30T10:34:51.000Z | 2021-06-09T11:24:00.000Z | test/test_projects.py | ekut-es/autojail | bc16e40e6df55c0a28a3059715851ffa59b14ba8 | [
"MIT"
] | 1 | 2021-11-21T09:30:58.000Z | 2021-11-21T09:30:58.000Z | import filecmp
import os
import shutil
import stat
import subprocess
from pathlib import Path
import pytest
from cleo import CommandTester
from ruamel.yaml import YAML
from autojail.main import AutojailApp
project_folder = os.path.join(os.path.dirname(__file__), "test_data")
autojail_root_folder = Path(__file__).par... | 28.356557 | 85 | 0.658043 |
f677f647ebf8811bcbaaad98110ca329e748efa8 | 214 | py | Python | python/testlint/test/example.py | mpsonntag/snippets | fc3cc42ea49b885c1f29c0aef1379055a931a978 | [
"BSD-3-Clause"
] | null | null | null | python/testlint/test/example.py | mpsonntag/snippets | fc3cc42ea49b885c1f29c0aef1379055a931a978 | [
"BSD-3-Clause"
] | null | null | null | python/testlint/test/example.py | mpsonntag/snippets | fc3cc42ea49b885c1f29c0aef1379055a931a978 | [
"BSD-3-Clause"
] | null | null | null | def add_up(a, b):
return a + b
def test_add_up_succeed():
assert add_up(1, 2) == 3
def test_add_up_fail():
assert add_up(1, 2) == 4
def ignore_me():
assert "I will be" == "completely ignored"
| 14.266667 | 46 | 0.616822 |
2c2eaacdbe05595ce43fe9776180f59f5a25e7c8 | 3,279 | py | Python | KnowledgeQuizTool/MillionHeroAssistant/core/baiduzhidao.py | JianmingXia/StudyTest | 66d688ad41bbce619f44359ea126ff07a923f97b | [
"MIT"
] | null | null | null | KnowledgeQuizTool/MillionHeroAssistant/core/baiduzhidao.py | JianmingXia/StudyTest | 66d688ad41bbce619f44359ea126ff07a923f97b | [
"MIT"
] | 68 | 2020-09-05T04:22:49.000Z | 2022-03-25T18:47:08.000Z | KnowledgeQuizTool/MillionHeroAssistant/core/baiduzhidao.py | JianmingXia/StudyTest | 66d688ad41bbce619f44359ea126ff07a923f97b | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Baidu zhidao searcher
"""
from concurrent.futures import ThreadPoolExecutor
from concurrent.futures import as_completed
import requests
from lxml import html
def zhidao_search(keyword, default_answer_select, timeout=2):
"""
Search BaiDu zhidao net
:param keyword:
... | 27.099174 | 149 | 0.57853 |
d39eef683e28c026412fcde0ec7a621230d23f23 | 373 | py | Python | src/tango_sdp_subarray/SDPSubarray/release.py | ska-telescope/sdp-prototype | 8c6cbda04a83b0e16987019406ed6ec7e1058a31 | [
"BSD-3-Clause"
] | 2 | 2019-07-15T09:49:34.000Z | 2019-10-14T16:04:17.000Z | src/tango_sdp_subarray/SDPSubarray/release.py | ska-telescope/sdp-prototype | 8c6cbda04a83b0e16987019406ed6ec7e1058a31 | [
"BSD-3-Clause"
] | 17 | 2019-07-15T14:51:50.000Z | 2021-06-02T00:29:43.000Z | src/tango_sdp_subarray/SDPSubarray/release.py | ska-telescope/sdp-configuration-prototype | 8c6cbda04a83b0e16987019406ed6ec7e1058a31 | [
"BSD-3-Clause"
] | 1 | 2019-10-10T08:16:48.000Z | 2019-10-10T08:16:48.000Z | # -*- coding: utf-8 -*-
"""Release information for Python Package."""
# Consider change to: ska-tangods-sdpsubarray ?
NAME = "ska-sdp-subarray"
# For version names see: https://www.python.org/dev/peps/pep-0440/
VERSION = "0.7.0"
VERSION_INFO = VERSION.split(".")
AUTHOR = "ORCA team, Sim Team"
LICENSE = 'License :: OSI... | 31.083333 | 66 | 0.689008 |
e238eb32ae178f2903389d762bb3cfb34a7a3943 | 2,273 | py | Python | LFA/class_factory.py | joao-frohlich/BCC | 9ed74eb6d921d1280f48680677a2140c5383368d | [
"Apache-2.0"
] | 10 | 2020-12-08T20:18:15.000Z | 2021-06-07T20:00:07.000Z | LFA/class_factory.py | joao-frohlich/BCC | 9ed74eb6d921d1280f48680677a2140c5383368d | [
"Apache-2.0"
] | 2 | 2021-06-28T03:42:13.000Z | 2021-06-28T16:53:13.000Z | LFA/class_factory.py | joao-frohlich/BCC | 9ed74eb6d921d1280f48680677a2140c5383368d | [
"Apache-2.0"
] | 2 | 2021-01-14T19:59:20.000Z | 2021-06-15T11:53:21.000Z | from class_assembly_line import Assembly_Line
class Factory:
errors = 0
closed = False
def __init__(self, assembly_type, max_errors):
self.line = Assembly_Line(assembly_type)
self.name = self.line.type
self.lines = [Assembly_Line(assembly_type) for lines in range(len(self.line))]... | 29.141026 | 86 | 0.529256 |
e287a0457d5207c6452dd8cebc2b4c0bb4c0e738 | 28,372 | py | Python | multisensor.py | ClimberWue/greenhouse | e6ebcb1456cfb2727522925d83a66d105594526d | [
"Unlicense"
] | null | null | null | multisensor.py | ClimberWue/greenhouse | e6ebcb1456cfb2727522925d83a66d105594526d | [
"Unlicense"
] | null | null | null | multisensor.py | ClimberWue/greenhouse | e6ebcb1456cfb2727522925d83a66d105594526d | [
"Unlicense"
] | null | null | null | #!/usr/bin/python
# -*- coding:utf-8 -*-
import paho.mqtt.client as mqtt
import os
import io
import glob
import time
import datetime
import sys
from ctypes import c_short
from ctypes import c_byte
from ctypes import c_ubyte
import tkinter
from tkinter import *
from tkinter import ttk
import board
import busio
import... | 33.029104 | 527 | 0.587551 |
2c3e667abd99e930482c8e8cef703c288102caa7 | 1,914 | py | Python | src/assets/experiences/sortierroboter/libs/berrytemplates.py | TU-Blueberry/bluestberry | fbde8dbcd730fe5c4e69ba15a1208a5c0903aa7d | [
"MIT"
] | 1 | 2022-03-28T17:23:03.000Z | 2022-03-28T17:23:03.000Z | src/assets/experiences/sortierroboter/libs/berrytemplates.py | TU-Blueberry/bluestberry | fbde8dbcd730fe5c4e69ba15a1208a5c0903aa7d | [
"MIT"
] | null | null | null | src/assets/experiences/sortierroboter/libs/berrytemplates.py | TU-Blueberry/bluestberry | fbde8dbcd730fe5c4e69ba15a1208a5c0903aa7d | [
"MIT"
] | null | null | null | import os
import numpy as np
import pandas as pd
from skimage import io
from skimage import transform
from sklearn import metrics
from sklearn.ensemble import RandomForestClassifier
path = "BlueberryData/TrainingData/"
def load_images():
labels = []
samples = []
for file in os.listdir(path):
res... | 33 | 120 | 0.666144 |
2c5aaef3311d500de5b9190f6ad53c422b1093d0 | 83 | py | Python | lanz/apps.py | linemax/lanz | c7f6eb150c260f088faa8255f0b15fcc9435c4af | [
"Apache-2.0"
] | null | null | null | lanz/apps.py | linemax/lanz | c7f6eb150c260f088faa8255f0b15fcc9435c4af | [
"Apache-2.0"
] | null | null | null | lanz/apps.py | linemax/lanz | c7f6eb150c260f088faa8255f0b15fcc9435c4af | [
"Apache-2.0"
] | null | null | null | from django.apps import AppConfig
class LanzConfig(AppConfig):
name = 'lanz'
| 13.833333 | 33 | 0.73494 |
3944578d8286250ff00f6c926ac4e5a4339602bb | 448 | py | Python | BIZa/2014/Tskipu_a_k/task_1_28.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | BIZa/2014/Tskipu_a_k/task_1_28.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | BIZa/2014/Tskipu_a_k/task_1_28.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | # Задача 1. Вариант 0.
# Напишите программу, которая будет сообщать род деятельности и псевдоним под которым скрывается Эдсон Арантис ду Насименту. После вывода информации программа должна дожидаться пока пользователь нажмет Enter для выхода.
# Krasnikov A. S.
# Цкипуришвили Александр
# 01.02.2016
print("Норма Бе... | 34.461538 | 219 | 0.792411 |
1a9bd64a56d2b4ec6de5f16589f26b1830724b61 | 183 | py | Python | c++filt_perf.py | ligang945/pyMisc | 3107c80f7f53ffc797b289ec73d1ef4db80f0b63 | [
"MIT"
] | null | null | null | c++filt_perf.py | ligang945/pyMisc | 3107c80f7f53ffc797b289ec73d1ef4db80f0b63 | [
"MIT"
] | null | null | null | c++filt_perf.py | ligang945/pyMisc | 3107c80f7f53ffc797b289ec73d1ef4db80f0b63 | [
"MIT"
] | null | null | null | import os
file = 'perf.log'
with open(file) as f:
for line in f:
if 'libdecode.so' in line:
cmd = 'c++filt %s' % line.split()[2]
os.system(cmd)
| 18.3 | 49 | 0.508197 |
64915ff5a35a2793d7aedc73dc95311668c1712e | 827 | py | Python | RedBook/ch2/parse_image.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | RedBook/ch2/parse_image.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | RedBook/ch2/parse_image.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | from urllib.request import urlopen
from html.parser import HTMLParser
class ImageParser(HTMLParser):
def handle_starttag(self, tag, attrs):
if tag != 'img':
return
if not hasattr(self, 'result'):
self.result = []
for name, value in attrs:
if name == 'src'... | 23.628571 | 48 | 0.588875 |
809beefea9164b42b3043627eddace8595d6c694 | 7,519 | py | Python | src/balldetection/Ball.py | florianletsch/kinect-juggling | f320cc0b55adf65d338d25986a03106a7e3f46ef | [
"Unlicense",
"MIT"
] | 7 | 2015-11-27T09:53:32.000Z | 2021-01-13T17:35:54.000Z | src/balldetection/Ball.py | florianletsch/kinect-juggling | f320cc0b55adf65d338d25986a03106a7e3f46ef | [
"Unlicense",
"MIT"
] | null | null | null | src/balldetection/Ball.py | florianletsch/kinect-juggling | f320cc0b55adf65d338d25986a03106a7e3f46ef | [
"Unlicense",
"MIT"
] | null | null | null | from src.Util import getcolour
class Ball(object):
def __init__(self, position, radius=10, meta=None, max_history=2):
"""Represents a single ball mid-air, with its positions being updated every frame."""
self.colour = getcolour()
self.position = position
self.radius = radius
... | 32.409483 | 94 | 0.583322 |
205c4f5006de32509c2ebf5478f3b17df6e65c0a | 3,409 | py | Python | scripts/generate_tpcds_schema.py | AldoMyrtaj/duckdb | 3aa4978a2ceab8df25e4b20c388bcd7629de73ed | [
"MIT"
] | 2,816 | 2018-06-26T18:52:52.000Z | 2021-04-06T10:39:15.000Z | scripts/generate_tpcds_schema.py | AldoMyrtaj/duckdb | 3aa4978a2ceab8df25e4b20c388bcd7629de73ed | [
"MIT"
] | 1,310 | 2021-04-06T16:04:52.000Z | 2022-03-31T13:52:53.000Z | scripts/generate_tpcds_schema.py | AldoMyrtaj/duckdb | 3aa4978a2ceab8df25e4b20c388bcd7629de73ed | [
"MIT"
] | 270 | 2021-04-09T06:18:28.000Z | 2022-03-31T11:55:37.000Z | import os
import subprocess
duckdb_program = '/Users/myth/Programs/duckdb-bugfix/build/release/duckdb'
struct_def = '''struct $STRUCT_NAME {
static constexpr char *Name = "$NAME";
static const char *Columns[];
static constexpr idx_t ColumnCount = $COLUMN_COUNT;
static const LogicalType Types[];
static constexpr ... | 32.466667 | 167 | 0.683485 |
45665b29494df65951d81b30841b182a36eb842d | 867 | py | Python | reverse/HolyGrenade/HolyGrenade.py | killua4564/2019-AIS3-preexam | b13b5c9d3a2ec8beef7cca781154655bb51605e3 | [
"MIT"
] | 1 | 2019-06-15T11:45:41.000Z | 2019-06-15T11:45:41.000Z | reverse/HolyGrenade/HolyGrenade.py | killua4564/2019-AIS3-preexam | b13b5c9d3a2ec8beef7cca781154655bb51605e3 | [
"MIT"
] | null | null | null | reverse/HolyGrenade/HolyGrenade.py | killua4564/2019-AIS3-preexam | b13b5c9d3a2ec8beef7cca781154655bb51605e3 | [
"MIT"
] | null | null | null | # uncompyle6 version 3.3.3
# Python bytecode 3.7 (3394)
# Decompiled from: Python 2.7.16 (default, Mar 4 2019, 09:01:38)
# [GCC 4.2.1 Compatible Apple LLVM 10.0.0 (clang-1000.11.45.5)]
# Embedded file name: HolyGrenade.py
# Size of source mod 2**32: 829 bytes
from secret import flag
from hashlib import md5
def OO0o(... | 29.896552 | 66 | 0.61707 |
45b1793519009229cd66f10c162d926a05e3b58b | 1,799 | py | Python | src/network/conversations/block_broadcasting.py | TimmMoetz/blockchain-lab | 02bb55cc201586dbdc8fdc252a32381f525e83ff | [
"RSA-MD"
] | 2 | 2021-11-08T12:00:02.000Z | 2021-11-12T18:37:52.000Z | src/network/conversations/block_broadcasting.py | TimmMoetz/blockchain-lab | 02bb55cc201586dbdc8fdc252a32381f525e83ff | [
"RSA-MD"
] | null | null | null | src/network/conversations/block_broadcasting.py | TimmMoetz/blockchain-lab | 02bb55cc201586dbdc8fdc252a32381f525e83ff | [
"RSA-MD"
] | 1 | 2022-03-28T13:49:37.000Z | 2022-03-28T13:49:37.000Z | from .block_download import Block_download
from ..bo.messages.get_blocks import Get_blocks
from ..bo.messages.block_message import Block_message
import os
import sys
sys.path.append("..")
from src.db.mapper import Mapper
from src.blockchain.block import Block
class Block_broadcasting():
def __init__(self, node) -... | 36.714286 | 111 | 0.654252 |
ff27b6f9ec2e89a4fdaa12005c4ca5d1c836ac12 | 47,692 | py | Python | python/course/leetcode/53. Maximum Subarray.py | TimVan1596/ACM-ICPC | 07f7d728db1ecd09c5a3d0f05521930b14eb9883 | [
"Apache-2.0"
] | 1 | 2019-05-22T07:12:34.000Z | 2019-05-22T07:12:34.000Z | python/course/leetcode/53. Maximum Subarray.py | TimVan1596/ACM-ICPC | 07f7d728db1ecd09c5a3d0f05521930b14eb9883 | [
"Apache-2.0"
] | 3 | 2021-12-10T01:13:54.000Z | 2021-12-14T21:18:42.000Z | python/course/leetcode/53. Maximum Subarray.py | TimVan1596/ACM-ICPC | 07f7d728db1ecd09c5a3d0f05521930b14eb9883 | [
"Apache-2.0"
] | null | null | null | # -*- coding:utf-8 -*-
# @Time:2020/6/29 18:52
# @Author:TimVan
# @File:53. Maximum Subarray.py
# @Software:PyCharm
# 53. Maximum Subarray
# Given an integer array nums, find the contiguous subarray (containing at least one number)
# which has the largest sum and return its sum.
#
# Example:
# Input: [-2,1,-3,4,-1,2,1... | 104.358862 | 120 | 0.417701 |
caac73a15a8be8420cc3018ebf3c70bf80421433 | 2,073 | py | Python | tarefas-poo/lista-03/balde/view/paineis/painel_manipula_baldes.py | victoriaduarte/POO_UFSC | 0c65b4f26383d1e3038d8469bd91fd2c0cb98c1a | [
"MIT"
] | null | null | null | tarefas-poo/lista-03/balde/view/paineis/painel_manipula_baldes.py | victoriaduarte/POO_UFSC | 0c65b4f26383d1e3038d8469bd91fd2c0cb98c1a | [
"MIT"
] | null | null | null | tarefas-poo/lista-03/balde/view/paineis/painel_manipula_baldes.py | victoriaduarte/POO_UFSC | 0c65b4f26383d1e3038d8469bd91fd2c0cb98c1a | [
"MIT"
] | null | null | null | # --------------------------
# UFSC - CTC - INE - INE5663
# Exercício do Balde
# --------------------------
# Classe que permite manipular os baldes.
#
from view.menu import Menu
from model.balde import Balde
class PainelManipulaBaldes:
def __init__(self):
opcoes = {
0: 'Voltar',
1... | 32.390625 | 59 | 0.4959 |
942e89a9a1c8ae591995de386de5dd738b0b5bd9 | 660 | py | Python | Curso_Python/Secao3-Python-Intermediario-Programacao-Procedural/59_exercicio/exercicio.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | Curso_Python/Secao3-Python-Intermediario-Programacao-Procedural/59_exercicio/exercicio.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | Curso_Python/Secao3-Python-Intermediario-Programacao-Procedural/59_exercicio/exercicio.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | lista_inteiros = [
[1, 2, 3, 4, 5, 6, 7, 8, 9, 10],
[9, 1, 8, 9, 9, 7, 2, 1, 6, 8],
[1, 3, 2, 2, 8, 6, 5, 9,6, 7],
[3, 8, 2, 8, 6, 7, 7, 3, 1, 9],
[4, 8, 8, 8, 5, 1, 10, 3, 1, 7],
[1, 3, 7, 2, 2, 1, 5, 1, 9, 9],
[10, 2, 2, 1, 3, 5, 1, 9, 9],
[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
]
def encont... | 23.571429 | 39 | 0.506061 |
ca52c9ae898ef39b3b29c0708676ba0da8e0937f | 368 | py | Python | 012-C108-BellCurve/__main__.py | somePythonProgrammer/PythonCode | fb2b2245db631cefd916a960768f411969b0e78f | [
"MIT"
] | 2 | 2021-09-28T13:55:20.000Z | 2021-11-15T10:08:49.000Z | 012-C108-BellCurve/__main__.py | somePythonProgrammer/PythonCode | fb2b2245db631cefd916a960768f411969b0e78f | [
"MIT"
] | null | null | null | 012-C108-BellCurve/__main__.py | somePythonProgrammer/PythonCode | fb2b2245db631cefd916a960768f411969b0e78f | [
"MIT"
] | 1 | 2022-01-20T03:02:20.000Z | 2022-01-20T03:02:20.000Z | # 012-C108-BellCurve
# This is a python script made by @somePythonProgrammer
# for a WhiteHat Junior project.
import pandas as pd
import plotly.figure_factory as ff
df = pd.read_csv('012-C108-BellCurve/csv/data.csv')
figure = ff.create_distplot([df['Rating'].tolist()],['Rating'], show_hist=False,)
figure.write_html('... | 33.454545 | 81 | 0.763587 |
f3fc8364ac9e9c09cc222faa4c67f6365e9be7b8 | 1,144 | py | Python | Problems/Depth-First Search/medium/ArrayNesting/array_nesting.py | dolong2110/Algorithm-By-Problems-Python | 31ecc7367aaabdd2b0ac0af7f63ca5796d70c730 | [
"MIT"
] | 1 | 2021-08-16T14:52:05.000Z | 2021-08-16T14:52:05.000Z | Problems/Depth-First Search/medium/ArrayNesting/array_nesting.py | dolong2110/Algorithm-By-Problems-Python | 31ecc7367aaabdd2b0ac0af7f63ca5796d70c730 | [
"MIT"
] | null | null | null | Problems/Depth-First Search/medium/ArrayNesting/array_nesting.py | dolong2110/Algorithm-By-Problems-Python | 31ecc7367aaabdd2b0ac0af7f63ca5796d70c730 | [
"MIT"
] | null | null | null | from typing import List
def arrayNesting(self, nums: List[int]) -> int:
res, seen = 0, set()
for i in nums:
j, l = i, 0
while j not in seen:
seen.add(j)
j = nums[j]
l += 1
if l > res:
res = l
if l > len(nums) - len(seen): # early... | 23.346939 | 52 | 0.444056 |
b6a5cabcd0af6dfd5329f5cfe8a6a89b5fb46a01 | 6,075 | py | Python | biowardrobe_airflow_advanced/utils/initialize.py | Barski-lab/biowardrobe-airflow-advanced | e43aa268fd05635e8356788b8e814279b698263f | [
"Apache-2.0"
] | null | null | null | biowardrobe_airflow_advanced/utils/initialize.py | Barski-lab/biowardrobe-airflow-advanced | e43aa268fd05635e8356788b8e814279b698263f | [
"Apache-2.0"
] | 1 | 2018-09-30T16:57:06.000Z | 2018-09-30T16:57:06.000Z | biowardrobe_airflow_advanced/utils/initialize.py | Barski-lab/biowardrobe-airflow-advanced | e43aa268fd05635e8356788b8e814279b698263f | [
"Apache-2.0"
] | null | null | null | import os
import logging
import subprocess
from json import dumps, loads
from airflow.settings import DAGS_FOLDER
from airflow.bin.cli import api_client
from biowardrobe_airflow_advanced.templates.outputs import TEMPLATES
from biowardrobe_airflow_advanced.utils.utilities import (validate_locations,
... | 46.730769 | 133 | 0.617613 |
94d7b47a20db36530cab4c2967c969681e17940a | 2,224 | py | Python | python/game-of-life/src/board.py | enolive/learning | 075b714bd7bea6de58a8da16cf142fc6c8535e11 | [
"MIT"
] | 8 | 2016-10-18T09:30:12.000Z | 2021-12-08T13:28:28.000Z | python/game-of-life/src/board.py | enolive/learning | 075b714bd7bea6de58a8da16cf142fc6c8535e11 | [
"MIT"
] | 29 | 2019-12-28T06:09:07.000Z | 2022-03-02T03:44:19.000Z | python/game-of-life/src/board.py | enolive/learning | 075b714bd7bea6de58a8da16cf142fc6c8535e11 | [
"MIT"
] | 4 | 2018-07-23T22:20:58.000Z | 2020-09-19T09:46:41.000Z | from itertools import product
class Board(object):
def __init__(self, cell_array):
self.living_cells = set()
for p in self.__get_only_living_cells(cell_array):
self.set_alive_at(p)
def count_living_neighbours_of(self, position):
(x, y) = position
all_neighbours = [... | 33.19403 | 87 | 0.617806 |
bfa7b094bd252f96cca44b38bd5cf048e4f776bc | 11,769 | py | Python | tests/test_experiments.py | Matheus158257/projects | 26a6148046533476e625a872a2950c383aa975a8 | [
"Apache-2.0"
] | null | null | null | tests/test_experiments.py | Matheus158257/projects | 26a6148046533476e625a872a2950c383aa975a8 | [
"Apache-2.0"
] | null | null | null | tests/test_experiments.py | Matheus158257/projects | 26a6148046533476e625a872a2950c383aa975a8 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from json import dumps
from unittest import TestCase
from projects.api.main import app
from projects.controllers.utils import uuid_alpha
from projects.database import engine
from projects.object_storage import BUCKET_NAME
EXPERIMENT_ID = str(uuid_alpha())
NAME = "foo"
PROJECT_ID = str(uuid_alp... | 40.582759 | 198 | 0.57592 |
1572ef7362f0874b11201d2353bf0efd88af5413 | 1,482 | py | Python | Apps/Model Evaluation/corpus_stats.py | RGreinacher/bachelor-thesis | 60dbc03ce40e3ec42f2538d67a6aabfea6fbbfc8 | [
"MIT"
] | 1 | 2021-04-13T10:00:46.000Z | 2021-04-13T10:00:46.000Z | Apps/Model Evaluation/corpus_stats.py | RGreinacher/bachelor-thesis | 60dbc03ce40e3ec42f2538d67a6aabfea6fbbfc8 | [
"MIT"
] | null | null | null | Apps/Model Evaluation/corpus_stats.py | RGreinacher/bachelor-thesis | 60dbc03ce40e3ec42f2538d67a6aabfea6fbbfc8 | [
"MIT"
] | null | null | null | from itertools import repeat
from nltk import Tree
from nltk.chunk.api import ChunkParserI
from os import listdir
from os.path import isfile, join
from pprint import pprint as pp
import csv
import json
import nltk
import pickle
import ner_pipeline
TEXT_SET = 'NER-de-train'
def read_germeval():
total_annotation_co... | 27.444444 | 107 | 0.612011 |
159242fd716e8dfc6893e64d2936389428fbd757 | 210 | py | Python | exercises/fr/solution_01_02_02.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 2,085 | 2019-04-17T13:10:40.000Z | 2022-03-30T21:51:46.000Z | exercises/fr/solution_01_02_02.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 79 | 2019-04-18T14:42:55.000Z | 2022-03-07T08:15:43.000Z | exercises/fr/solution_01_02_02.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 361 | 2019-04-17T13:34:32.000Z | 2022-03-28T04:42:45.000Z | # Importe la classe de langue "English"
from spacy.lang.en import English
# Crée l'objet nlp
nlp = English()
# Traite un texte
doc = nlp("This is a sentence.")
# Affiche le texte du document
print(doc.text)
| 17.5 | 39 | 0.719048 |
172a78087505ee3ad01da87d77290f9d3a87e3dd | 30,973 | py | Python | labeldcm/module/app.py | hyh520/label-dcm | 07f8257dcc52b827fcb6d1dec311b532c3ae8925 | [
"MIT"
] | 1 | 2021-12-20T11:06:42.000Z | 2021-12-20T11:06:42.000Z | labeldcm/module/app.py | hyh520/label-dcm | 07f8257dcc52b827fcb6d1dec311b532c3ae8925 | [
"MIT"
] | null | null | null | labeldcm/module/app.py | hyh520/label-dcm | 07f8257dcc52b827fcb6d1dec311b532c3ae8925 | [
"MIT"
] | null | null | null | from labeldcm.module import static
from labeldcm.module.config import config
from labeldcm.module.mode import LabelMode
from labeldcm.ui.form import Ui_Form
from PyQt5.QtCore import pyqtBoundSignal, QCoreApplication, QEvent, QObject, QPointF, QRectF, QSize, Qt
from PyQt5.QtGui import QColor, QCursor, QFont, QIcon, QMou... | 38.285538 | 119 | 0.588383 |
bdfb629621674223dd543633dd0f525b0de89455 | 4,201 | py | Python | tests/onegov/translator_directory/test_collections.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/translator_directory/test_collections.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/translator_directory/test_collections.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | from onegov.translator_directory.collections.language import LanguageCollection
from onegov.translator_directory.collections.translator import \
TranslatorCollection
from onegov.translator_directory.constants import INTERPRETING_TYPES, \
PROFESSIONAL_GUILDS
from tests.onegov.translator_directory.shared import c... | 35.905983 | 79 | 0.712687 |
97c79deb52086a69f6295b76053c75a7863ee135 | 3,894 | py | Python | examples/rasa_demo/actions/actions.py | ajay-cz/chatbot-engine | df58f3e7e899151feedb847e56d9fc699e66f60c | [
"MIT"
] | null | null | null | examples/rasa_demo/actions/actions.py | ajay-cz/chatbot-engine | df58f3e7e899151feedb847e56d9fc699e66f60c | [
"MIT"
] | 1 | 2021-12-20T07:05:33.000Z | 2021-12-29T01:35:37.000Z | examples/rasa_demo/actions/actions.py | ajay-cz/chatbot-engine | df58f3e7e899151feedb847e56d9fc699e66f60c | [
"MIT"
] | null | null | null | import os
from mailchimp3 import MailChimp
from mailchimp3.mailchimpclient import MailChimpError
from rasa_sdk import Action
from typing import Text
class ActionAboutMe(Action):
def name(self):
return "action_about_me"
def run(self, dispatcher, tracker, domain):
message = {
"type":... | 32.181818 | 97 | 0.541089 |
c19d0cf43ece4171691192bd4d15debabda2a0a8 | 78 | py | Python | open_archives.py | EmanuelDms/automation | 25a0f370f40aa955225d7c3a1e28c2d8cc988689 | [
"MIT"
] | null | null | null | open_archives.py | EmanuelDms/automation | 25a0f370f40aa955225d7c3a1e28c2d8cc988689 | [
"MIT"
] | null | null | null | open_archives.py | EmanuelDms/automation | 25a0f370f40aa955225d7c3a1e28c2d8cc988689 | [
"MIT"
] | null | null | null | arquivo = open('argv.py', 'r')
for line in arquivo:
print(line.rstrip())
| 15.6 | 30 | 0.628205 |
a9e1c83b048b08de68f1fd0dda0a5a9caf861ea9 | 973 | py | Python | PMIa/2014/KUCHERYAVENKO_A_I/task_6_38.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | PMIa/2014/KUCHERYAVENKO_A_I/task_6_38.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | PMIa/2014/KUCHERYAVENKO_A_I/task_6_38.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | # Задача 6. Вариант 38.
#Создайте игру, в которой компьютер загадывает имя одной из девяти муз в
#древнегреческой мифологии, а игрок должен его угадать.
# Kucheryavenko A. I.
# 14.04.2016
import random
muza = random.randint(1,9)
print("Программа случайным образом загадывает имя одной из девяти муз в древнегреческо... | 22.113636 | 128 | 0.638232 |
e7cfa98d5137209be1a30c32430d74089b87cf0a | 2,054 | py | Python | homepage/pelicanconf.py | ecs-org/ecs-docs | 0d685db17731a35c90852d7f75fbdf3791bd696c | [
"Apache-2.0"
] | 1 | 2020-01-04T05:51:39.000Z | 2020-01-04T05:51:39.000Z | homepage/pelicanconf.py | ecs-org/ecs-docs | 0d685db17731a35c90852d7f75fbdf3791bd696c | [
"Apache-2.0"
] | null | null | null | homepage/pelicanconf.py | ecs-org/ecs-docs | 0d685db17731a35c90852d7f75fbdf3791bd696c | [
"Apache-2.0"
] | 1 | 2021-11-23T15:41:01.000Z | 2021-11-23T15:41:01.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*- #
from __future__ import unicode_literals
import os
from datetime import datetime
AUTHOR = (
datetime.now().strftime("%Y")
+ " Medizinische Universität Wien, Medizinische Universität Innsbruck, Medizinische Universität Graz, Johannes Kepler Universität Linz, Karl L... | 25.358025 | 236 | 0.72298 |
99f35a1b101c11e72ff82ce426bd6f75cd636f82 | 2,842 | py | Python | Prototype/main prototype/TempWidget.py | fowado/BauphysikSE1 | eb8805196c8fbf99a879c40c5e0725d740c5a0de | [
"CC-BY-4.0"
] | 4 | 2019-12-03T16:13:09.000Z | 2019-12-11T23:22:58.000Z | Prototype/main prototype/TempWidget.py | fowado/BauphysikSE1 | eb8805196c8fbf99a879c40c5e0725d740c5a0de | [
"CC-BY-4.0"
] | 65 | 2019-12-08T17:43:59.000Z | 2020-08-14T15:26:21.000Z | Prototype/main prototype/TempWidget.py | fowado/BauphysikSE1 | eb8805196c8fbf99a879c40c5e0725d740c5a0de | [
"CC-BY-4.0"
] | null | null | null | # This Python file uses the following encoding: utf-8
from PyQt5 import QtCore
from PyQt5 import QtWidgets
from CustomMiniWidgets import MyDoubleSpinBox
class TempWidget(QtWidgets.QWidget):
def __init__(self):
QtWidgets.QWidget.__init__(self)
#layout
tempLayout = QtWidgets.QGridLayout()
... | 38.405405 | 73 | 0.711471 |
68d09f1a8cb5d48ac305b586bd15eed139cbf565 | 345 | py | Python | Python/M01_ProgrammingBasics/L05_WhileLoop/Exercises/Solutions/P06_Cake.py | todorkrastev/softuni-software-engineering | cfc0b5eaeb82951ff4d4668332ec3a31c59a5f84 | [
"MIT"
] | null | null | null | Python/M01_ProgrammingBasics/L05_WhileLoop/Exercises/Solutions/P06_Cake.py | todorkrastev/softuni-software-engineering | cfc0b5eaeb82951ff4d4668332ec3a31c59a5f84 | [
"MIT"
] | null | null | null | Python/M01_ProgrammingBasics/L05_WhileLoop/Exercises/Solutions/P06_Cake.py | todorkrastev/softuni-software-engineering | cfc0b5eaeb82951ff4d4668332ec3a31c59a5f84 | [
"MIT"
] | 1 | 2022-02-23T13:03:14.000Z | 2022-02-23T13:03:14.000Z | width = int(input())
lenght = int(input())
count = width * lenght
while count > 0:
line = input()
if line == "STOP":
break
else:
new_pieces = int(line)
count = count - new_pieces
if count > 0:
print(f"{count} pieces are left.")
else:
print(f"No more cake left! You need {ab... | 19.166667 | 67 | 0.57971 |
6bf8c3921bd21176630543d5abaa7bb8dead2c28 | 1,912 | py | Python | experiments/Non_RL.py | june6723/sumo-rl-offset | 775cddc8d168fb7c4959610a96a791d746fa0afd | [
"MIT"
] | 4 | 2020-10-11T01:30:13.000Z | 2021-04-27T16:03:41.000Z | experiments/Non_RL.py | june6723/sumo-rl-offset | 775cddc8d168fb7c4959610a96a791d746fa0afd | [
"MIT"
] | null | null | null | experiments/Non_RL.py | june6723/sumo-rl-offset | 775cddc8d168fb7c4959610a96a791d746fa0afd | [
"MIT"
] | null | null | null | import argparse
import os
import sys
if 'SUMO_HOME' in os.environ:
tools = os.path.join(os.environ['SUMO_HOME'], 'tools')
sys.path.append(tools)
else:
sys.exit("Please declare the environment variable 'SUMO_HOME'")
import pandas as pd
import ray
from ray.rllib.agents.dqn.dqn import DQNTrainer
from ray.rllib... | 36.769231 | 110 | 0.544456 |
cf0f8c321f820512301141ab6ebc985c3606b464 | 1,078 | py | Python | Python/Buch_Python3_Das_umfassende_Praxisbuch/Kapitel_06_Funktionen/12_chapter_06_repetition_task_5_turtle_figures.py | Apop85/Scripts | e71e1c18539e67543e3509c424c7f2d6528da654 | [
"MIT"
] | null | null | null | Python/Buch_Python3_Das_umfassende_Praxisbuch/Kapitel_06_Funktionen/12_chapter_06_repetition_task_5_turtle_figures.py | Apop85/Scripts | e71e1c18539e67543e3509c424c7f2d6528da654 | [
"MIT"
] | 6 | 2020-12-24T15:15:09.000Z | 2022-01-13T01:58:35.000Z | Python/Buch_Python3_Das_umfassende_Praxisbuch/Kapitel_06_Funktionen/12_chapter_06_repetition_task_5_turtle_figures.py | Apop85/Scripts | 1d8dad316c55e1f1343526eac9e4b3d0909e4873 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding:utf-8 -*-
###
# File: 12_chapter_06_repetition_task_5_turtle_figures.py
# Project: Kapitel_06_Funktionen
# Created Date: Sunday 24.02.2019, 16:38
# Author: Apop85
# -----
# Last Modified: Tuesday 26.02.2019, 10:57
# -----
# Copyright (c) 2019 Apop85
# This software is published under... | 17.966667 | 88 | 0.628015 |
d8d2741472f0ce94802ba1d021af9c447fa28883 | 1,639 | py | Python | lab2/argparser.py | B0mM3L6000/CI | 3b55ef8e6017a596e7b22e20a16ca7659bc73204 | [
"MIT"
] | 1 | 2018-04-18T19:55:42.000Z | 2018-04-18T19:55:42.000Z | lab2/argparser.py | B0mM3L6000/CI | 3b55ef8e6017a596e7b22e20a16ca7659bc73204 | [
"MIT"
] | null | null | null | lab2/argparser.py | B0mM3L6000/CI | 3b55ef8e6017a596e7b22e20a16ca7659bc73204 | [
"MIT"
] | null | null | null | import argparse
parser = argparse.ArgumentParser(
description = "Parse TSP files and calculate paths using simple "
"algorithms.")
parser.add_argument (
"-n"
, "--nearest"
, action = "store_true"
, dest = "need_nearest_neighbor"
, default = False
, help = "ca... | 23.414286 | 79 | 0.591214 |
998081c4931a275b5bbe547b62f81755c8b87241 | 3,130 | py | Python | python/system/gen_algo_core.py | Nekel-Seyew/SRN | 806384cd11aff044b02b36e820940036c2352798 | [
"Apache-2.0"
] | 1 | 2016-08-30T18:25:08.000Z | 2016-08-30T18:25:08.000Z | python/system/gen_algo_core.py | Nekel-Seyew/SRN | 806384cd11aff044b02b36e820940036c2352798 | [
"Apache-2.0"
] | null | null | null | python/system/gen_algo_core.py | Nekel-Seyew/SRN | 806384cd11aff044b02b36e820940036c2352798 | [
"Apache-2.0"
] | null | null | null | import pt_rand
def reproduce(a,b, mutate_func, numkids = 10, mutate_chance=0.001):
kids = []
agenes = a.get_genes()
bgenes = b.get_genes()
#half-and-half -> 2
a1 = agenes[:len(agenes)/2]
a2 = agenes[len(agenes)/2:]
b1 = bgenes[:len(bgenes)/2]
b2 = bgenes[len(bgenes)/2:]
kids.append(organism(a1+b2))
kids.appe... | 28.198198 | 98 | 0.685304 |
5af3249a53fbc3a531538ae7c9ac5bd47c4436ca | 3,524 | py | Python | 21-fs-ias-lec/FrontEnd/socialgraph/utils/jsonUtils.py | Kyrus1999/BACnet | 5be8e1377252166041bcd0b066cce5b92b077d06 | [
"MIT"
] | 8 | 2020-03-17T21:12:18.000Z | 2021-12-12T15:55:54.000Z | 21-fs-ias-lec/FrontEnd/socialgraph/utils/jsonUtils.py | Kyrus1999/BACnet | 5be8e1377252166041bcd0b066cce5b92b077d06 | [
"MIT"
] | 2 | 2021-07-19T06:18:43.000Z | 2022-02-10T12:17:58.000Z | 21-fs-ias-lec/FrontEnd/socialgraph/utils/jsonUtils.py | Kyrus1999/BACnet | 5be8e1377252166041bcd0b066cce5b92b077d06 | [
"MIT"
] | 25 | 2020-03-20T09:32:45.000Z | 2021-07-18T18:12:59.000Z | import json
import os
def extract_connections(data, text):
index = text.index(" ")
id = text[0:index]
hops = int(text[index+1:])
nodes = data['nodes']
links = data['links']
connections = []
for x in range(len(links)):
s = links[x]['source']
t = links[x]['target']
... | 23.337748 | 78 | 0.458002 |
5cce56d4b59061c632b5ce82ab74819bc6dada71 | 590 | py | Python | Automate your Morning Routine/Play Youtube.py | Akshu-on-github/MLH-INIT-2022 | cf3fbbc8abd3eae3b958d3d482ed1fa1467f559e | [
"MIT"
] | 1 | 2021-07-05T14:30:34.000Z | 2021-07-05T14:30:34.000Z | Automate your Morning Routine/Play Youtube.py | Akshu-on-github/MLH-INIT-2022 | cf3fbbc8abd3eae3b958d3d482ed1fa1467f559e | [
"MIT"
] | 1 | 2021-07-02T15:36:02.000Z | 2021-07-02T15:37:25.000Z | Automate your Morning Routine/Play Youtube.py | Akshu-on-github/MLH-INIT-2022 | cf3fbbc8abd3eae3b958d3d482ed1fa1467f559e | [
"MIT"
] | 1 | 2021-07-02T15:15:17.000Z | 2021-07-02T15:15:17.000Z | from WakeyCore import youtubePlayList, playerVLC
from tkinter import *
# GlobalVars
filePath = "c:\\logs\\" # Windows Path
# MainWindow
root = Tk()
root.title("Youtube Player")
# Playlist Entry Box
v = StringVar()
e = Entry(root, textvariable=v, width=60)
e.pack()
# YouTube Callback(WakeyCore)
def youTube(event):... | 18.4375 | 48 | 0.708475 |
7a460777e0253ac93482a0df5e7ab9eb081be3b2 | 2,590 | py | Python | listings/chapter05/naive_salesman.py | SaschaKersken/Daten-Prozessanalyse | 370f07a75b9465329deb3671adbfbef8483f76f6 | [
"Apache-2.0"
] | 2 | 2021-09-20T06:16:41.000Z | 2022-01-17T14:24:43.000Z | listings/chapter05/naive_salesman.py | SaschaKersken/Daten-Prozessanalyse | 370f07a75b9465329deb3671adbfbef8483f76f6 | [
"Apache-2.0"
] | null | null | null | listings/chapter05/naive_salesman.py | SaschaKersken/Daten-Prozessanalyse | 370f07a75b9465329deb3671adbfbef8483f76f6 | [
"Apache-2.0"
] | null | null | null | from itertools import permutations
# Brute-Force-Ansatz für das Problem des Handlungsreisenden
def generate_distances():
source_distances = {
("Berlin", "Kopenhagen"): 355, ("Berlin", "Warschau"): 517,
("Berlin", "Prag"): 280, ("Berlin", "Wien"): 524,
("Berlin", "Bern"): 753, ("Berlin", "P... | 40.46875 | 116 | 0.568726 |
711f71885dae50ce9d4c7ad8e5845a836e13dd20 | 5,404 | py | Python | tw_map.py | subkultur/teilwas_bot | dbdf5a65ce5056c6ffa159dd8fe3a96da1e8a074 | [
"MIT"
] | null | null | null | tw_map.py | subkultur/teilwas_bot | dbdf5a65ce5056c6ffa159dd8fe3a96da1e8a074 | [
"MIT"
] | null | null | null | tw_map.py | subkultur/teilwas_bot | dbdf5a65ce5056c6ffa159dd8fe3a96da1e8a074 | [
"MIT"
] | null | null | null | import staticmaps
import cairo
import s2sphere
import io
# https://github.com/flopp/py-staticmaps/blob/master/examples/custom_objects.py
class TextLabel(staticmaps.Object):
def __init__(self, latlng: s2sphere.LatLng, text: str) -> None:
staticmaps.Object.__init__(self)
self._latlng = latlng
... | 33.565217 | 109 | 0.536825 |
855ba6e229e44a9086582d6c4444528564430686 | 332 | py | Python | tools/pythonpkg/tests/fast/api/test_dbapi04.py | AldoMyrtaj/duckdb | 3aa4978a2ceab8df25e4b20c388bcd7629de73ed | [
"MIT"
] | 2,816 | 2018-06-26T18:52:52.000Z | 2021-04-06T10:39:15.000Z | tools/pythonpkg/tests/fast/api/test_dbapi04.py | AldoMyrtaj/duckdb | 3aa4978a2ceab8df25e4b20c388bcd7629de73ed | [
"MIT"
] | 1,310 | 2021-04-06T16:04:52.000Z | 2022-03-31T13:52:53.000Z | tools/pythonpkg/tests/fast/api/test_dbapi04.py | AldoMyrtaj/duckdb | 3aa4978a2ceab8df25e4b20c388bcd7629de73ed | [
"MIT"
] | 270 | 2021-04-09T06:18:28.000Z | 2022-03-31T11:55:37.000Z | #simple DB API testcase
class TestSimpleDBAPI(object):
def test_regular_selection(self, duckdb_cursor):
duckdb_cursor.execute('SELECT * FROM integers')
result = duckdb_cursor.fetchall()
assert result == [(0,), (1,), (2,), (3,), (4,), (5,), (6,), (7,), (8,), (9,), (None,)], "Incorrect resul... | 36.888889 | 123 | 0.605422 |
8581899fa611131e70c08071b3cdf9b73659dc5b | 901 | py | Python | opencv_tutorial/opencv_python_tutorials/Image_Processing/image_processing.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | opencv_tutorial/opencv_python_tutorials/Image_Processing/image_processing.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | opencv_tutorial/opencv_python_tutorials/Image_Processing/image_processing.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Thu Mar 28 16:10:12 2019
@author: jone
"""
import cv2
import numpy as np
# Camera 객체를 생성 후 사이즈로 320 x 240으로 조정
cap = cv2.VideoCapture(0)
cap.set(3, 320)
cap.set(4, 240)
while(1):
# camera에서 frame capture
ret, frame = cap.read()
if ret:
# BGR -> HSV로 변환... | 21.452381 | 55 | 0.551609 |
859d1cd548c1779a34d8dee902b3966ef89b0db1 | 353 | py | Python | python/en/archive/books/jump2python/j2p-05_2-module.py | aimldl/coding | 70ddbfaa454ab92fd072ee8dc614ecc330b34a70 | [
"MIT"
] | null | null | null | python/en/archive/books/jump2python/j2p-05_2-module.py | aimldl/coding | 70ddbfaa454ab92fd072ee8dc614ecc330b34a70 | [
"MIT"
] | null | null | null | python/en/archive/books/jump2python/j2p-05_2-module.py | aimldl/coding | 70ddbfaa454ab92fd072ee8dc614ecc330b34a70 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
p.212
05-2.모듈
@author: aimldl
"""
# mod1.py
def sum(a,b):
return a+b
def safe_sum(a,b):
if type(a) != type(b):
print("Different types!")
return
else:
result = sum(a,b)
return result
print( safe_sum('a',1) )
print( safe_... | 15.347826 | 33 | 0.535411 |
2d1a1ce3dc32764d0032a039e350c60e1237d086 | 997 | py | Python | GZP_GTO_QGIS/INSTALLATION/GeoTaskOrganizer/mActionGTOopenfile.py | msgis/swwat-gzp-template | 080afbe9d49fb34ed60ba45654383d9cfca01e24 | [
"MIT"
] | 3 | 2019-06-18T15:28:09.000Z | 2019-07-11T07:31:45.000Z | GZP_GTO_QGIS/INSTALLATION/GeoTaskOrganizer/mActionGTOopenfile.py | msgis/swwat-gzp-template | 080afbe9d49fb34ed60ba45654383d9cfca01e24 | [
"MIT"
] | 2 | 2019-07-11T14:03:25.000Z | 2021-02-08T16:14:04.000Z | GZP_GTO_QGIS/INSTALLATION/GeoTaskOrganizer/mActionGTOopenfile.py | msgis/swwat-gzp-template | 080afbe9d49fb34ed60ba45654383d9cfca01e24 | [
"MIT"
] | 1 | 2019-06-12T11:07:37.000Z | 2019-06-12T11:07:37.000Z | #!/usr/bin/python
# -*- coding: utf-8 -*-
from builtins import str
from qgis.core import QgsProject
import os
def run(id, gtotool, config, debug):
try:
#init
iface = gtotool.iface
info = gtotool.info
#metadata
layer = config['layer']
field = config['field']
... | 26.945946 | 73 | 0.51655 |
74a04c83aadbdc1884746415fc7b8496e6ab8206 | 996 | py | Python | game1/Players.py | JordanG8/Bahr | 03911f3ac7275f46abc510cf85c8850c31572203 | [
"MIT"
] | null | null | null | game1/Players.py | JordanG8/Bahr | 03911f3ac7275f46abc510cf85c8850c31572203 | [
"MIT"
] | null | null | null | game1/Players.py | JordanG8/Bahr | 03911f3ac7275f46abc510cf85c8850c31572203 | [
"MIT"
] | null | null | null | class player_class:
number = 0
name = ""
HP = 10
live = True
raceWeapon = ""
comp = False
real_player_list = []
def addRealPlayers():
n = 0
real_player_list.append(player_class())
print("Enter the first player's name:")
real_player_list[n].name = input()
real_p... | 26.918919 | 71 | 0.543173 |
776a42827dbcedebf2a318afa9aebf089adeb9d2 | 4,753 | py | Python | NN-modelSave2.py | bailejor/Behav_Interventions | 8ef238ed913ee9b2744787a0bb2a67318df3fd3d | [
"MIT"
] | null | null | null | NN-modelSave2.py | bailejor/Behav_Interventions | 8ef238ed913ee9b2744787a0bb2a67318df3fd3d | [
"MIT"
] | null | null | null | NN-modelSave2.py | bailejor/Behav_Interventions | 8ef238ed913ee9b2744787a0bb2a67318df3fd3d | [
"MIT"
] | null | null | null | import numpy as np
import pandas
from keras.models import Sequential
from keras.layers import Dense, Dropout, Activation
from keras.optimizers import SGD
from math import sqrt
from numpy.random import seed
from keras.regularizers import l1
import random
from keras.models import model_from_json
import os
import tensorfl... | 43.209091 | 167 | 0.680202 |
778e7868fad1486d1910460c266cb53f41a39a90 | 2,789 | py | Python | tests/views/test_root.py | DanielGrams/gsevp | e94034f7b64de76f38754b56455e83092378261f | [
"MIT"
] | 1 | 2021-06-01T14:49:18.000Z | 2021-06-01T14:49:18.000Z | tests/views/test_root.py | DanielGrams/gsevp | e94034f7b64de76f38754b56455e83092378261f | [
"MIT"
] | 286 | 2020-12-04T14:13:00.000Z | 2022-03-09T19:05:16.000Z | tests/views/test_root.py | DanielGrams/gsevpt | a92f71694388e227e65ed1b24446246ee688d00e | [
"MIT"
] | null | null | null | import os
from project import dump_path
def test_home(client, seeder, utils):
url = utils.get_url("home")
utils.get_ok(url)
url = utils.get_url("home", src="infoscreen")
response = client.get(url)
utils.assert_response_redirect(response, "home")
def test_organizations(client, seeder, utils):
... | 26.561905 | 63 | 0.684833 |
247c1a22827c11203217b99c29919e0f08c34ce6 | 162 | py | Python | reverse/MasterPiece/script.py | killua4564/2019-AIS3-preexam | b13b5c9d3a2ec8beef7cca781154655bb51605e3 | [
"MIT"
] | 1 | 2019-06-15T11:45:41.000Z | 2019-06-15T11:45:41.000Z | reverse/MasterPiece/script.py | killua4564/2019-AIS3-preexam | b13b5c9d3a2ec8beef7cca781154655bb51605e3 | [
"MIT"
] | null | null | null | reverse/MasterPiece/script.py | killua4564/2019-AIS3-preexam | b13b5c9d3a2ec8beef7cca781154655bb51605e3 | [
"MIT"
] | null | null | null |
data = open("data-14006B000", "r").read()
a = []
index = 0
for _ in range(266504):
index = data.find("dup(", index) + 4
a.append(int(data[index]))
print(a)
| 13.5 | 41 | 0.598765 |
24e0b2d4837ab5dd9943937938b6187617c6cf17 | 848 | py | Python | 30 Days of Code/30DoC-day-14/30DoC_day_14.py | nirobio/puzzles | fda8c84d8eefd93b40594636fb9b7f0fde02b014 | [
"MIT"
] | null | null | null | 30 Days of Code/30DoC-day-14/30DoC_day_14.py | nirobio/puzzles | fda8c84d8eefd93b40594636fb9b7f0fde02b014 | [
"MIT"
] | null | null | null | 30 Days of Code/30DoC-day-14/30DoC_day_14.py | nirobio/puzzles | fda8c84d8eefd93b40594636fb9b7f0fde02b014 | [
"MIT"
] | null | null | null | # class constructor takes an array of integers as a parameter and saves it to the __elements instance variable.
class Difference:
def __init__(self, a):
self.__elements = a
def computeDifference(self):
maxDiff = 0
# computeDifference method that finds the maximum absolute difference betwee... | 27.354839 | 165 | 0.666274 |
704bd52ef8843f83305e2e04d15495f302b727e3 | 966 | py | Python | Contrib-Microsoft/Olympus_rack_manager/python-ocs/commonapi/models/user_role.py | opencomputeproject/Rack-Manager | e1a61d3eeeba0ff655fe9c1301e8b510d9b2122a | [
"MIT"
] | 5 | 2019-11-11T07:57:26.000Z | 2022-03-28T08:26:53.000Z | Contrib-Microsoft/Olympus_rack_manager/python-ocs/commonapi/models/user_role.py | opencomputeproject/Rack-Manager | e1a61d3eeeba0ff655fe9c1301e8b510d9b2122a | [
"MIT"
] | 3 | 2019-09-05T21:47:07.000Z | 2019-09-17T18:10:45.000Z | Contrib-Microsoft/Olympus_rack_manager/python-ocs/commonapi/models/user_role.py | opencomputeproject/Rack-Manager | e1a61d3eeeba0ff655fe9c1301e8b510d9b2122a | [
"MIT"
] | 11 | 2019-07-20T00:16:32.000Z | 2022-01-11T14:17:48.000Z | # Copyright (C) Microsoft Corporation. All rights reserved.
# This program is free software; you can redistribute it
# and/or modify it under the terms of the GNU General Public License
# as published by the Free Software Foundation; either version 2
# of the License, or (at your option) any later version.
# -*- codi... | 27.6 | 68 | 0.60559 |
561185359411f00e5f3b001c6373cc97191aff53 | 191 | py | Python | main_qr_scanner.py | Themishau/AGI_QR_CODE_PROJEKT | 390bcd4d211e66f0520646591d7e542edc683ad6 | [
"MIT"
] | null | null | null | main_qr_scanner.py | Themishau/AGI_QR_CODE_PROJEKT | 390bcd4d211e66f0520646591d7e542edc683ad6 | [
"MIT"
] | null | null | null | main_qr_scanner.py | Themishau/AGI_QR_CODE_PROJEKT | 390bcd4d211e66f0520646591d7e542edc683ad6 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#from GUI_rasp_noasyn import *
from GUI import *
if __name__ == '__main__':
print("start")
menu = Controller(['update_process'], 'controller')
menu.run()
| 21.222222 | 55 | 0.633508 |
568ee2e81e13d10d2ab110904919a0a24f58d7eb | 2,572 | py | Python | 2-resources/__DATA-Structures/Code-Challenges/cc71meanMedianMode/meanMedianMode.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | null | null | null | 2-resources/__DATA-Structures/Code-Challenges/cc71meanMedianMode/meanMedianMode.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | null | null | null | 2-resources/__DATA-Structures/Code-Challenges/cc71meanMedianMode/meanMedianMode.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | null | null | null | # cc71 meanMedianMode https://repl.it/student/submissions/1871422
'''
Write a function that, given a list of numbers, calculates the
mean, median, and mode of those numbers. Return a dictionary with
properties for the mean, median and mode.
For example:
mmm_dict = meanMedianMode([1,2,3,4,5,6,7,8,9,10,10])
print(mmm_di... | 48.528302 | 520 | 0.634526 |
d917fa47c8a01e532ee22f07c029dc93c2ec783b | 616 | py | Python | 697-degree-of-an-array/697-degree-of-an-array.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | 2 | 2021-12-05T14:29:06.000Z | 2022-01-01T05:46:13.000Z | 697-degree-of-an-array/697-degree-of-an-array.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | null | null | null | 697-degree-of-an-array/697-degree-of-an-array.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | null | null | null | class Solution:
def findShortestSubArray(self, nums: List[int]) -> int:
max_cnt = 0
for num in set(nums):
cur_cnt = nums.count(num)
if cur_cnt > max_cnt:
max_cnt=cur_cnt
max_num = [num]
elif cur_cnt == max_cnt:
max_n... | 34.222222 | 75 | 0.517857 |
d99062f3972070691aa56b50d43f312be1bf3393 | 6,324 | py | Python | stiff_ode_solvers.py | patcher1/numerik | ad24c8522d61970a3a881e034a7940d43ba486be | [
"BSD-3-Clause"
] | null | null | null | stiff_ode_solvers.py | patcher1/numerik | ad24c8522d61970a3a881e034a7940d43ba486be | [
"BSD-3-Clause"
] | null | null | null | stiff_ode_solvers.py | patcher1/numerik | ad24c8522d61970a3a881e034a7940d43ba486be | [
"BSD-3-Clause"
] | 1 | 2019-10-01T14:36:03.000Z | 2019-10-01T14:36:03.000Z | import numpy as np
import numpy.linalg
import scipy
import scipy.linalg
import scipy.optimize
import matplotlib.pyplot as plt
from ode_solvers import *
from scipy.linalg import expm
from numpy.linalg import solve, norm
from numpy import *
def exp_euler_long(f, Df, y0, t0, T, N):
"""
Exponentielles... | 26.460251 | 109 | 0.502214 |
8de845bfa833cfc074c6fa3cb0f50088a38251b6 | 129 | py | Python | nz_crawl_demo/day3/demo2.py | gaohj/nzflask_bbs | 36a94c380b78241ed5d1e07edab9618c3e8d477b | [
"Apache-2.0"
] | null | null | null | nz_crawl_demo/day3/demo2.py | gaohj/nzflask_bbs | 36a94c380b78241ed5d1e07edab9618c3e8d477b | [
"Apache-2.0"
] | 27 | 2020-02-12T07:55:58.000Z | 2022-03-12T00:19:09.000Z | nz_crawl_demo/day3/demo2.py | gaohj/nzflask_bbs | 36a94c380b78241ed5d1e07edab9618c3e8d477b | [
"Apache-2.0"
] | 2 | 2020-02-18T01:54:55.000Z | 2020-02-21T11:36:28.000Z | from lxml import etree
html = etree.parse('tencent.html') #读取外部文件
result = etree.tostring(html,pretty_print=True)
print(result) | 21.5 | 47 | 0.775194 |
5c1c779cd3f8953665f6406dded8e3885de8e2eb | 4,150 | py | Python | vae2gan/vae_train.py | x6rulin/AiLab | b810590d4da645915b8472554794d0c6908109e3 | [
"MIT"
] | null | null | null | vae2gan/vae_train.py | x6rulin/AiLab | b810590d4da645915b8472554794d0c6908109e3 | [
"MIT"
] | null | null | null | vae2gan/vae_train.py | x6rulin/AiLab | b810590d4da645915b8472554794d0c6908109e3 | [
"MIT"
] | null | null | null | import sys
import os
import torch
import torchvision
rootpath = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
sys.path.append(rootpath)
from dnnlib.miscs import ArgParse, Trainer
from dnnlib.util import Logger
from vae2gan.core.loss import G_loss, D_loss
class Args(ArgParse):
def __init__(self):
... | 45.604396 | 125 | 0.620964 |
308b4ed278155160def59d59484fc2cb5ee8c724 | 2,833 | py | Python | src/onegov/foundation6/cli.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/foundation6/cli.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/foundation6/cli.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | import os
import shutil
import sys
from pathlib import Path
import click
from subprocess import check_output
from onegov.core.cli import command_group
from onegov.core.utils import module_path
cli = command_group()
def pre_checks():
node_version = check_output('node --version', shell=True)
if 'v10' not in no... | 30.793478 | 76 | 0.643487 |
ccf73f0d1b8f873f11d2b58f0be1e4399a8c6dee | 1,651 | py | Python | Packs/MicrosoftGraphDeviceManagement/Integrations/MicrosoftGraphDeviceManagement/MicrosoftGraphDeviceManagement_test.py | jrauen/content | 81a92be1cbb053a5f26a6f325eff3afc0ca840e0 | [
"MIT"
] | 1 | 2021-11-02T05:36:38.000Z | 2021-11-02T05:36:38.000Z | Packs/MicrosoftGraphDeviceManagement/Integrations/MicrosoftGraphDeviceManagement/MicrosoftGraphDeviceManagement_test.py | jrauen/content | 81a92be1cbb053a5f26a6f325eff3afc0ca840e0 | [
"MIT"
] | 61 | 2021-10-07T08:54:38.000Z | 2022-03-31T10:25:35.000Z | Packs/MicrosoftGraphDeviceManagement/Integrations/MicrosoftGraphDeviceManagement/MicrosoftGraphDeviceManagement_test.py | jrauen/content | 81a92be1cbb053a5f26a6f325eff3afc0ca840e0 | [
"MIT"
] | null | null | null | import pytest
import json
from CommonServerPython import DemistoException
from MicrosoftGraphDeviceManagement import MsGraphClient, build_device_object, try_parse_integer, find_managed_devices_command
with open('test_data/raw_device.json', 'r') as json_file:
data: dict = json.load(json_file)
raw_device = data.... | 34.395833 | 126 | 0.701393 |
15f013c2f580e0e4533d7434c3d7a954c320f8ae | 2,072 | py | Python | logya/main.py | yaph/logya | 9647f58a0b8653b56ad64332e235a76cab3acda9 | [
"MIT"
] | 12 | 2015-03-04T03:23:56.000Z | 2020-11-17T08:09:17.000Z | logya/main.py | elaOnMars/logya | a9f256ac8840e21b348ac842b35683224e25b613 | [
"MIT"
] | 78 | 2015-01-05T11:40:41.000Z | 2022-01-23T21:05:39.000Z | logya/main.py | elaOnMars/logya | a9f256ac8840e21b348ac842b35683224e25b613 | [
"MIT"
] | 6 | 2015-04-20T06:58:42.000Z | 2022-01-31T00:36:29.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import argparse
from logya import __version__
from logya.create import create
from logya.generate import generate
from logya.server import serve
def main():
parent = argparse.ArgumentParser(add_help=False)
parent.add_argument('--verbose', '-v', action='store_true... | 44.085106 | 139 | 0.707529 |
ba7f4030ae455e9f7ae26ae173007edd78136a9d | 135 | py | Python | setting.py | MaliziaGrimm/pbd2lodas | a2447084177c87d1f2e8d1e2a7c0c4607bbbde74 | [
"MIT"
] | null | null | null | setting.py | MaliziaGrimm/pbd2lodas | a2447084177c87d1f2e8d1e2a7c0c4607bbbde74 | [
"MIT"
] | null | null | null | setting.py | MaliziaGrimm/pbd2lodas | a2447084177c87d1f2e8d1e2a7c0c4607bbbde74 | [
"MIT"
] | null | null | null | Flask_Server_Name = 'localhost:1701'
Version_Titel = 'Tool pbd2lodas V0.3b'
Version_Program = 'Lohnabrechnungsdatenerfassung V0.3a'
| 33.75 | 56 | 0.8 |
307f46a0c84c6008055ac28c59d8daa035ed83a8 | 12,914 | py | Python | ev3/sysroot/home/robot/roborinth/app/robo/Io.py | icebear8/roboRinth | c0789a9faf978f31b0ed020d26fee2b04fb298ee | [
"MIT"
] | null | null | null | ev3/sysroot/home/robot/roborinth/app/robo/Io.py | icebear8/roboRinth | c0789a9faf978f31b0ed020d26fee2b04fb298ee | [
"MIT"
] | null | null | null | ev3/sysroot/home/robot/roborinth/app/robo/Io.py | icebear8/roboRinth | c0789a9faf978f31b0ed020d26fee2b04fb298ee | [
"MIT"
] | 1 | 2019-10-22T07:47:51.000Z | 2019-10-22T07:47:51.000Z | #!/usr/bin/env python3
import threading
from time import sleep
from ev3dev2.sensor.lego import TouchSensor
from ev3dev2.sensor.lego import ColorSensor
from ev3dev2.sensor.lego import UltrasonicSensor
from ev3dev2.sensor.lego import GyroSensor
from ev3dev2.motor import MediumMotor
from ev3dev2.motor import MoveSteeri... | 27.653105 | 109 | 0.736178 |
234b02195d5d0a10461a732ea220e1e57ba24840 | 8,047 | py | Python | src/main/python/gps/gpsmap.py | BikeAtor/WoMoAtor | 700cc8b970dcfdd5af2f471df1a223d2a38cb1bf | [
"Apache-2.0"
] | null | null | null | src/main/python/gps/gpsmap.py | BikeAtor/WoMoAtor | 700cc8b970dcfdd5af2f471df1a223d2a38cb1bf | [
"Apache-2.0"
] | null | null | null | src/main/python/gps/gpsmap.py | BikeAtor/WoMoAtor | 700cc8b970dcfdd5af2f471df1a223d2a38cb1bf | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
import sys
import logging
import PIL.Image
import PIL.ImageDraw
import PIL.ImageTk
# GUI
import tkinter as tk
import tkinter.font as tkFont
# OSM
import smopy
# GPS
import pynmea2
class GPSMap(tk.Frame):
zoom = 13
font = None
spdLabel = None
mapLabel = None
lastGpsPosition ... | 40.034826 | 130 | 0.553001 |
001d01a64ab29960f6d6b58a05cef6b8e3e80ab0 | 4,339 | py | Python | setup.py | spaeth/docassemble-onboarding | f4adc1d4123675a7ea564babb75e6c8f9723a593 | [
"MIT"
] | null | null | null | setup.py | spaeth/docassemble-onboarding | f4adc1d4123675a7ea564babb75e6c8f9723a593 | [
"MIT"
] | null | null | null | setup.py | spaeth/docassemble-onboarding | f4adc1d4123675a7ea564babb75e6c8f9723a593 | [
"MIT"
] | null | null | null | import os
import sys
from setuptools import setup, find_packages
from fnmatch import fnmatchcase
from distutils.util import convert_path
standard_exclude = ('*.pyc', '*~', '.*', '*.bak', '*.swp*')
standard_exclude_directories = ('.*', 'CVS', '_darcs', './build', './dist', 'EGG-INFO', '*.egg-info')
def find_package_dat... | 71.131148 | 1,958 | 0.649228 |
cc40739c2f2da1ea2067e7244a419440bb8562f5 | 247 | py | Python | rev/VerytriVialreVersing/gen.py | NoXLaw/RaRCTF2021-Challenges-Public | 1a1b094359b88f8ebbc83a6b26d27ffb2602458f | [
"MIT"
] | null | null | null | rev/VerytriVialreVersing/gen.py | NoXLaw/RaRCTF2021-Challenges-Public | 1a1b094359b88f8ebbc83a6b26d27ffb2602458f | [
"MIT"
] | null | null | null | rev/VerytriVialreVersing/gen.py | NoXLaw/RaRCTF2021-Challenges-Public | 1a1b094359b88f8ebbc83a6b26d27ffb2602458f | [
"MIT"
] | null | null | null | flag = "rarctf{See,ThatWasn'tSoHard-1eb519ed}"
out = []
key = [0x13, 0x37]
for c in flag:
c = ord(c)
out.append((c ^ key[0]) + key[1])
key = key[::-1]
# print(', '.join([chr(c) for c in out]))
print(', '.join([hex(c) for c in out]))
| 20.583333 | 46 | 0.54251 |
d1d8ae1f41bdb41e7d29727dc4f5b6a469563ef4 | 16 | py | Python | flask_rabbitmq/exception/__init__.py | NimzyMaina/flask-rabbitmq | 0005577f9ad2ec4a692d117b25c01246862437bd | [
"MIT"
] | 55 | 2018-12-29T13:36:01.000Z | 2022-01-13T09:49:44.000Z | schemas/__init__.py | pushyzheng/docker-oj-web | 119abae3763cd2e53c686a320af7f4f5af1f16ca | [
"MIT"
] | 3 | 2019-04-25T14:57:42.000Z | 2020-03-29T09:27:42.000Z | flask_rabbitmq/exception/__init__.py | PushyZqin/flask-rabbitmq | 5d6f4b16e56dcd818953ba875ab838bfb1fc5529 | [
"MIT"
] | 14 | 2019-02-12T12:38:50.000Z | 2020-11-29T09:23:32.000Z | # encoding:utf-8 | 16 | 16 | 0.75 |
ae24fe4a14e5fd6f88af92fca4a5980dc9a34c1b | 1,702 | py | Python | frappe-bench/apps/erpnext/erpnext/patches/v8_0/update_student_groups_from_student_batches.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/update_student_groups_from_student_batches.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/apps/erpnext/erpnext/patches/v8_0/update_student_groups_from_student_batches.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
from frappe.model.utils.rename_field import *
from frappe.model.mapper import get_mapped_doc
def execute():
if frappe.db.table_exists("Student Batch"):
stud... | 43.641026 | 105 | 0.740306 |
ee4075c33fd77c8c28f8ff666551a31823214bc6 | 3,765 | py | Python | app/user/forms.py | IoTServ/FlaskSimpleCMS | db0fc4464c6d514db14972156ca3e002a60a4876 | [
"MIT"
] | null | null | null | app/user/forms.py | IoTServ/FlaskSimpleCMS | db0fc4464c6d514db14972156ca3e002a60a4876 | [
"MIT"
] | 4 | 2020-08-29T16:11:12.000Z | 2022-03-12T00:47:03.000Z | app/user/forms.py | IoTServ/FlaskSimpleCMS | db0fc4464c6d514db14972156ca3e002a60a4876 | [
"MIT"
] | null | null | null | # coding:utf-8
from flask_wtf import Form
from wtforms import SelectField, StringField, TextAreaField, SubmitField, PasswordField,IntegerField,FileField
from wtforms.validators import DataRequired, Length, Email, EqualTo
class CommonForm(Form):
types = SelectField(u'博文分类', coerce=int, validators=[DataRequired()])... | 39.631579 | 110 | 0.726428 |
c9dc36d1051433a3833f90b43ab519958948fa3f | 599 | py | Python | tf/clasificador2/probador.py | alffore/lokroids-python | ac3bbc328140e53ab181034d2e3d5d5d17dc9203 | [
"MIT"
] | null | null | null | tf/clasificador2/probador.py | alffore/lokroids-python | ac3bbc328140e53ab181034d2e3d5d5d17dc9203 | [
"MIT"
] | null | null | null | tf/clasificador2/probador.py | alffore/lokroids-python | ac3bbc328140e53ab181034d2e3d5d5d17dc9203 | [
"MIT"
] | null | null | null | # coding=UTF-8
import cv2
import sys
import tensorflow as tf
CATEGORIAS = ['dormido', 'despierto', 'otro']
def preparaimg(filepath):
IMG_SIZE = 70
img_array = cv2.imread(filepath, cv2.IMREAD_GRAYSCALE)
new_array = cv2.resize(img_array, (IMG_SIZE, IMG_SIZE))
return new_array.reshape(-1, IMG_SIZE, IMG_... | 24.958333 | 97 | 0.709516 |
11c582fc493a90df167f7ad1d3230c9bf0b4c766 | 631 | py | Python | frappe-bench/apps/erpnext/erpnext/patches/v6_6/remove_fiscal_year_from_leave_allocation.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/v6_6/remove_fiscal_year_from_leave_allocation.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/apps/erpnext/erpnext/patches/v6_6/remove_fiscal_year_from_leave_allocation.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_doctype("Leave Allocation")
if frappe.db.has_column("Leave Allocation", "fiscal_year"):
for leave_allocation in frappe.db.sql("select name, fiscal_year from `tabLeave Allocation`", as_dict=True):
dates = frappe.db.get_value("Fisc... | 35.055556 | 109 | 0.73851 |
11f7128f323718ee073335dd0c6aa3a87c371403 | 11,512 | py | Python | tests/onegov/core/test_upgrade.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/core/test_upgrade.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/core/test_upgrade.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | import os.path
import pytest
import textwrap
from click.testing import CliRunner
from onegov.core.cli import cli
from onegov.core.upgrade import get_tasks, upgrade_task, get_module_order_key
from unittest.mock import patch
def test_upgrade_task_registration():
class MyUpgradeModule(object):
@upgrade_ta... | 32.066852 | 79 | 0.562804 |
ee934c93a62c2d23a14f93d8d3b9f0fe16d29f7a | 439 | py | Python | us2/python/imports.py | chrbeckm/anfaenger-praktikum | 51764ff23901de1bc3d16dc935acfdc66bb2b2b7 | [
"MIT"
] | 2 | 2019-12-10T10:25:11.000Z | 2021-01-26T13:59:40.000Z | us1/python/imports.py | chrbeckm/anfaenger-praktikum | 51764ff23901de1bc3d16dc935acfdc66bb2b2b7 | [
"MIT"
] | null | null | null | us1/python/imports.py | chrbeckm/anfaenger-praktikum | 51764ff23901de1bc3d16dc935acfdc66bb2b2b7 | [
"MIT"
] | 1 | 2020-12-06T21:24:58.000Z | 2020-12-06T21:24:58.000Z | import numpy as np
import matplotlib.pyplot as plt
from uncertainties import ufloat
import uncertainties.unumpy as unp
from scipy import optimize
import scipy.constants as const
from scipy.stats import sem
np.genfromtxt('python/*.txt', unpack=True)
np.savetxt('build/*.txt', np.column_stack([*, *]), header='*')
param... | 29.266667 | 78 | 0.767654 |
e12381001b2d923bee7e3222971790c087ba30d1 | 85 | py | Python | v2/test.py | timm/py | 28be3bb63433895e2bcab27ad82cb0b0cc994f37 | [
"Unlicense"
] | 1 | 2021-03-31T03:41:06.000Z | 2021-03-31T03:41:06.000Z | v2/test.py | timm/py | 28be3bb63433895e2bcab27ad82cb0b0cc994f37 | [
"Unlicense"
] | null | null | null | v2/test.py | timm/py | 28be3bb63433895e2bcab27ad82cb0b0cc994f37 | [
"Unlicense"
] | null | null | null |
def kk():
class B(A): pass
from fred import jj
B()
jj()
class A: pass
kk()
| 8.5 | 21 | 0.552941 |
09a720a5da9143b12d040c70979b514811400002 | 1,044 | py | Python | autojail/utils/draw_tree.py | ekut-es/autojail | bc16e40e6df55c0a28a3059715851ffa59b14ba8 | [
"MIT"
] | 6 | 2020-08-12T08:16:15.000Z | 2022-03-05T02:25:53.000Z | autojail/utils/draw_tree.py | ekut-es/autojail | bc16e40e6df55c0a28a3059715851ffa59b14ba8 | [
"MIT"
] | 1 | 2021-03-30T10:34:51.000Z | 2021-06-09T11:24:00.000Z | autojail/utils/draw_tree.py | ekut-es/autojail | bc16e40e6df55c0a28a3059715851ffa59b14ba8 | [
"MIT"
] | 1 | 2021-11-21T09:30:58.000Z | 2021-11-21T09:30:58.000Z | # Adapted from https://rosettacode.org/wiki/Visualize_a_tree#Simple_decorated-outline_tree
from itertools import chain, repeat, starmap
from operator import add
def draw_tree(trees, nest=lambda x: x.children, str=str):
"""ASCII diagram of a tree."""
res = []
for tree in trees:
res += draw_node(tre... | 27.473684 | 90 | 0.516284 |
1147c8f2c6c02528184acd3929699f1cf35822e7 | 709 | py | Python | Praxisseminar/run.py | EnjoyFitness92/Praxisseminar-SS2020 | b5baba5d1512a5fad3391efc42f3ab232d79c4e2 | [
"MIT"
] | null | null | null | Praxisseminar/run.py | EnjoyFitness92/Praxisseminar-SS2020 | b5baba5d1512a5fad3391efc42f3ab232d79c4e2 | [
"MIT"
] | 2 | 2020-06-24T13:01:22.000Z | 2020-06-24T13:10:07.000Z | Praxisseminar/run.py | EnjoyFitness92/Praxisseminar-SS2020 | b5baba5d1512a5fad3391efc42f3ab232d79c4e2 | [
"MIT"
] | null | null | null | """
Praxisseminar run.py
"""
from mininet.net import Mininet
from mininet.cli import CLI
from minicps.mcps import MiniCPS
from topo import CbTopo
import sys
class PraxisseminarCPS(MiniCPS):
"""Main container used to run the simulation."""
def __init__(self, name, net):
self.name = name
se... | 16.880952 | 52 | 0.605078 |
fed9ad1bc5a5b7035112e3428b4d466ea7d4b8ea | 594 | py | Python | sdiff/__init__.py | KeepSafe/html-structure-diff | 83ea2b8ad4b78b140bb5f69e3f2966c9fda01a89 | [
"Apache-2.0"
] | 3 | 2016-05-10T13:57:14.000Z | 2016-09-29T21:01:53.000Z | sdiff/__init__.py | KeepSafe/html-structure-diff | 83ea2b8ad4b78b140bb5f69e3f2966c9fda01a89 | [
"Apache-2.0"
] | 3 | 2015-10-20T22:29:37.000Z | 2022-01-18T18:20:06.000Z | sdiff/__init__.py | KeepSafe/html-structure-diff | 83ea2b8ad4b78b140bb5f69e3f2966c9fda01a89 | [
"Apache-2.0"
] | 1 | 2016-11-05T04:23:05.000Z | 2016-11-05T04:23:05.000Z | from typing import Type
from .parser import parse, MdParser, ZendeskHelpMdParser # noqa
from .renderer import TextRenderer
from .compare import diff_struct, diff_links # noqa
def diff(md1, md2, renderer=TextRenderer(), parser_cls: Type[MdParser] = MdParser):
tree1 = parse(md1, parser_cls)
tree2 = parse(md2... | 31.263158 | 83 | 0.739057 |
fef9ff0a45e015d4033dd22ca2db4e79d3d4d848 | 1,913 | py | Python | source/data/streaming/kafkaStream.py | aaarl/Spotify-Auswertung-Big-Data-Plattform | 47684db8eb3a8764568c1365dd02a8c2b3975dba | [
"Apache-2.0"
] | 1 | 2021-12-29T20:06:54.000Z | 2021-12-29T20:06:54.000Z | source/data/streaming/kafkaStream.py | aaarl/Spotify-Auswertung-Big-Data-Plattform | 47684db8eb3a8764568c1365dd02a8c2b3975dba | [
"Apache-2.0"
] | null | null | null | source/data/streaming/kafkaStream.py | aaarl/Spotify-Auswertung-Big-Data-Plattform | 47684db8eb3a8764568c1365dd02a8c2b3975dba | [
"Apache-2.0"
] | null | null | null | from pyspark import SparkConf, SparkContext
from pyspark.sql import SparkSession
from pyspark.sql.functions import explode, split
def foreachBatch(dataframe, _id):
dataframe.write\
.mode("overwrite") \
.format("jdbc") \
.option("truncate", "true") \
.option("driver", "com.mysql.jdb... | 35.425926 | 152 | 0.652901 |
fefce893892fb66773e36fecf31825621dd9927e | 2,866 | py | Python | marsyas-vamp/marsyas/scripts/large-evaluators/tempo-reference-implementation/evaluate_bpms.py | jaouahbi/VampPlugins | 27c2248d1c717417fe4d448cdfb4cb882a8a336a | [
"Apache-2.0"
] | null | null | null | marsyas-vamp/marsyas/scripts/large-evaluators/tempo-reference-implementation/evaluate_bpms.py | jaouahbi/VampPlugins | 27c2248d1c717417fe4d448cdfb4cb882a8a336a | [
"Apache-2.0"
] | null | null | null | marsyas-vamp/marsyas/scripts/large-evaluators/tempo-reference-implementation/evaluate_bpms.py | jaouahbi/VampPlugins | 27c2248d1c717417fe4d448cdfb4cb882a8a336a | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
import sys
import mar_collection
def exact_accuracy(bpm_detected, bpm_ground):
tolerance = 0.04
diff = abs(bpm_detected - bpm_ground)
if diff <= tolerance * bpm_ground:
return True
return False
def major_extended_harmonic_accuracy(bpm_detected, bpm_ground):
toleranc... | 29.546392 | 75 | 0.592463 |
28af0f0dfc6dd3b88bd3053f57afc1c1a5468139 | 9,024 | py | Python | Liquid-optimizer/serve_lstm.py | PasaLab/YAO | 2e70203197cd79f9522d65731ee5dc0eb236b005 | [
"Apache-2.0"
] | 2 | 2021-08-30T14:12:09.000Z | 2022-01-20T02:14:22.000Z | Liquid-optimizer/serve_lstm.py | PasaLab/YAO | 2e70203197cd79f9522d65731ee5dc0eb236b005 | [
"Apache-2.0"
] | null | null | null | Liquid-optimizer/serve_lstm.py | PasaLab/YAO | 2e70203197cd79f9522d65731ee5dc0eb236b005 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
from threading import Thread
from threading import Lock
from http.server import BaseHTTPRequestHandler, HTTPServer
import cgi
import json
from urllib import parse
import pandas as pd
import csv
from pandas import DataFrame
from pandas import Series
from pandas import concat
from pandas imp... | 29.016077 | 98 | 0.653812 |
e92f9a8ff441e9c69572dfa4d665798b467df68d | 386 | py | Python | INBa/2015/SHEMYAKIN_A_V/task_1_31.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | INBa/2015/SHEMYAKIN_A_V/task_1_31.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | INBa/2015/SHEMYAKIN_A_V/task_1_31.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | # Задача 1. Вариант 31.
# Напишите программу, которая будет сообщать род деятельности и псевдоним под которым скрывается Эмиль Эрзог.
# Shemyakin A.V.
# 29.02.2016
input ("Андре Моруа, более известный как Эмиль Саломон Вильгельм Эрзог, французский писатель и член Французской академии. Примечание: впоследствии псевдон... | 55.142857 | 188 | 0.787565 |
3ac26ba81bff5703bf1f9963084b393544e98106 | 1,631 | py | Python | checklisten/tests/test_views.py | mribrgr/StuRa-Mitgliederdatenbank | 87a261d66c279ff86056e315b05e6966b79df9fa | [
"MIT"
] | 8 | 2019-11-26T13:34:46.000Z | 2021-06-21T13:41:57.000Z | src/checklisten/tests/test_views.py | Sumarbrander/Stura-Mitgliederdatenbank | 691dbd33683b2c2d408efe7a3eb28e083ebcd62a | [
"MIT"
] | 93 | 2019-12-16T09:29:10.000Z | 2021-04-24T12:03:33.000Z | src/checklisten/tests/test_views.py | Sumarbrander/Stura-Mitgliederdatenbank | 691dbd33683b2c2d408efe7a3eb28e083ebcd62a | [
"MIT"
] | 2 | 2020-12-03T12:43:19.000Z | 2020-12-22T21:48:47.000Z | from django.test import TestCase, Client
from django.urls import reverse
from django.contrib.auth import get_user_model
class TestViews(TestCase):
def setUp(self):
self.client = Client()
# Hinzufügen von Admin
user = get_user_model().objects.create_superuser(
username='testluk... | 35.456522 | 79 | 0.676885 |
c91fad73bc202f2f6ca2596c7f29b7587f9b2084 | 418 | py | Python | code/fetch_nowcasts/fetch-LMU.py | Stochastik-TU-Ilmenau/hospitalization-nowcast-hub | df1b2f52060cfa5c275c8c25a0cf2d7b6ad5df0d | [
"MIT"
] | null | null | null | code/fetch_nowcasts/fetch-LMU.py | Stochastik-TU-Ilmenau/hospitalization-nowcast-hub | df1b2f52060cfa5c275c8c25a0cf2d7b6ad5df0d | [
"MIT"
] | null | null | null | code/fetch_nowcasts/fetch-LMU.py | Stochastik-TU-Ilmenau/hospitalization-nowcast-hub | df1b2f52060cfa5c275c8c25a0cf2d7b6ad5df0d | [
"MIT"
] | null | null | null | import os
import pandas as pd
today = pd.to_datetime('today').date()
filename = f'data-processed/LMU_StaBLab-GAM_nowcast/{today}-LMU_StaBLab-GAM_nowcast.csv'
if os.path.exists(filename):
print(f'Nowcast for today ({today}) has already been added.')
else:
df = pd.read_csv('https://raw.githubusercontent.com/Max... | 34.833333 | 113 | 0.739234 |
a33607aa70c8061cf5f69960b1add31ab9a798b6 | 432 | py | Python | oldp/apps/cases/processing/processing_steps/assign_topics.py | ImgBotApp/oldp | 575dc6f711dde3470d910e21c9440ee9b79a69ed | [
"MIT"
] | 3 | 2020-06-27T08:19:35.000Z | 2020-12-27T17:46:02.000Z | oldp/apps/cases/processing/processing_steps/assign_topics.py | ImgBotApp/oldp | 575dc6f711dde3470d910e21c9440ee9b79a69ed | [
"MIT"
] | null | null | null | oldp/apps/cases/processing/processing_steps/assign_topics.py | ImgBotApp/oldp | 575dc6f711dde3470d910e21c9440ee9b79a69ed | [
"MIT"
] | null | null | null | import logging
from oldp.apps.cases.models import Case
from oldp.apps.cases.processing.processing_steps import CaseProcessingStep
logger = logging.getLogger(__name__)
class AssignTopics(CaseProcessingStep):
description = 'Assign topics'
# default_court = Court.objects.get(pk=Court.DEFAULT_ID)
def __ini... | 24 | 74 | 0.74537 |
95504bdf9712bfdfd314c59e6f807636cd8d722f | 1,762 | py | Python | solution/graph_traversal/2206/main.py | gkgg123/baekjoon | 4ff8a1238a5809e4958258b5f2eeab7b22105ce9 | [
"MIT"
] | 2,236 | 2019-08-05T00:36:59.000Z | 2022-03-31T16:03:53.000Z | solution/graph_traversal/2206/main.py | juy4556/baekjoon | bc0b0a0ebaa45a5bbd32751f84c458a9cfdd9f92 | [
"MIT"
] | 225 | 2020-12-17T10:20:45.000Z | 2022-01-05T17:44:16.000Z | solution/graph_traversal/2206/main.py | juy4556/baekjoon | bc0b0a0ebaa45a5bbd32751f84c458a9cfdd9f92 | [
"MIT"
] | 602 | 2019-08-05T00:46:25.000Z | 2022-03-31T13:38:23.000Z | # Authored by : kis03160
# Co-authored by : tony9402
# Link : http://boj.kr/2cb5e18deb964794bec3e960225ad83e
from collections import deque
import sys
def input():
return sys.stdin.readline().rstrip()
def answer(row, col):
global m, n
shortest = 10000001
q = deque()
direction = [(1, 0), (0, 1), (-... | 25.171429 | 74 | 0.494325 |
6c8ce6b17de9741630222627955901ecc88f2264 | 1,471 | py | Python | research/cv/LightCNN/src/get_list.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | research/cv/LightCNN/src/get_list.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | research/cv/LightCNN/src/get_list.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... | 33.431818 | 78 | 0.67981 |
66a4c20641c6bdb09005a56ab1de9c436a1e1ca9 | 1,262 | py | Python | 02.Sort/M/B2578-M.py | SP2021-2/Algorithm | 2e629eb5234212fad8bbc11491aad068e5783780 | [
"MIT"
] | 1 | 2021-11-21T06:03:06.000Z | 2021-11-21T06:03:06.000Z | 02.Sort/M/B2578-M.py | SP2021-2/Algorithm | 2e629eb5234212fad8bbc11491aad068e5783780 | [
"MIT"
] | 2 | 2021-10-13T07:21:09.000Z | 2021-11-14T13:53:08.000Z | 02.Sort/M/B2578-M.py | SP2021-2/Algorithm | 2e629eb5234212fad8bbc11491aad068e5783780 | [
"MIT"
] | null | null | null | array = [list(map(int, input().split())) for i in range(5)]
check = [list(map(int, input().split())) for i in range(5)]
def checkBingo(arr):
bingoNum = 0
rightSlide = 0
leftSlide = 0
for i in range(5):
colZeroNum = 0
verZeroNum = 0
for j in range(5):
if... | 24.745098 | 59 | 0.434231 |
dd4528d88f39cfca7fdec8f69f522d848fe2f268 | 2,308 | py | Python | WebApp/WebApp/urls.py | wallamejorge/PepqaWebApp | 20896a1224d1a2cea3a137950c4f0306f0269db7 | [
"Apache-2.0"
] | null | null | null | WebApp/WebApp/urls.py | wallamejorge/PepqaWebApp | 20896a1224d1a2cea3a137950c4f0306f0269db7 | [
"Apache-2.0"
] | null | null | null | WebApp/WebApp/urls.py | wallamejorge/PepqaWebApp | 20896a1224d1a2cea3a137950c4f0306f0269db7 | [
"Apache-2.0"
] | null | null | null | """WebApp URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/1.8/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: url(r'^$', views.home, name='home')
Class-base... | 39.118644 | 132 | 0.694974 |
dd844e63e96defa0bb0844fd4a4da33befd17415 | 617 | py | Python | api/celeb.py | Solutions-Incorporated/beige-as-a-service | dd832bff2b9add83b0ce53c028ce533396b73cf8 | [
"MIT"
] | null | null | null | api/celeb.py | Solutions-Incorporated/beige-as-a-service | dd832bff2b9add83b0ce53c028ce533396b73cf8 | [
"MIT"
] | null | null | null | api/celeb.py | Solutions-Incorporated/beige-as-a-service | dd832bff2b9add83b0ce53c028ce533396b73cf8 | [
"MIT"
] | null | null | null | import random
import re
BORING_COLOURS = [
"red",
"blue",
"green",
"yellow",
"pink",
"orange",
"purple",
"white",
]
def load_names():
with open("famous_names.txt") as f:
names = []
for line in f:
_, name, *_ = line.split(",")
names.append(nam... | 18.147059 | 51 | 0.570502 |
05b57339627f5649ef93cf286cd6996df52242c0 | 1,184 | py | Python | Python/zzz_training_challenge/Python_Challenge/solutions/ch08_binary_trees/solutions/ex04_lca.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | Python/zzz_training_challenge/Python_Challenge/solutions/ch08_binary_trees/solutions/ex04_lca.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | Python/zzz_training_challenge/Python_Challenge/solutions/ch08_binary_trees/solutions/ex04_lca.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | # Beispielprogramm für das Buch "Python Challenge"
#
# Copyright 2020 by Michael Inden
from ch08_binary_trees.util import TreeUtils
from ch08_binary_trees.intro.intro_binary_tree_node import BinaryTreeNode
from ch08_binary_trees.intro.intro_binary_search_tree import insert
def create_lca_example_tree():
_6 = Bi... | 23.215686 | 73 | 0.706081 |
bb83eda8aec15b8b1e6b12caec27e31f2991c933 | 3,340 | py | Python | tests/addons/reqs2reqs/test_empty_guard.py | ihatov08/jumeaux | 7d983474df4b6dcfa57ea1a66901fbc99ebababa | [
"MIT"
] | 11 | 2017-10-02T01:29:12.000Z | 2022-03-31T08:37:22.000Z | tests/addons/reqs2reqs/test_empty_guard.py | ihatov08/jumeaux | 7d983474df4b6dcfa57ea1a66901fbc99ebababa | [
"MIT"
] | 79 | 2017-07-16T14:47:17.000Z | 2022-03-31T08:49:14.000Z | tests/addons/reqs2reqs/test_empty_guard.py | ihatov08/jumeaux | 7d983474df4b6dcfa57ea1a66901fbc99ebababa | [
"MIT"
] | 2 | 2019-01-28T06:11:58.000Z | 2021-01-25T07:21:21.000Z | #!/usr/bin/env python
# -*- coding:utf-8 -*-
from unittest.mock import patch
import pytest
from owlmixin import TOption
from owlmixin.util import load_yaml
from jumeaux.addons.reqs2reqs.empty_guard import Executor
from jumeaux.domain.config.vo import Config as JumeauxConfig
from jumeaux.models import Reqs2ReqsAddOnPa... | 28.067227 | 96 | 0.526946 |
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