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value | max_stars_repo_path stringlengths 4 237 | max_stars_repo_name stringlengths 6 72 | max_stars_repo_head_hexsha stringlengths 40 40 | max_stars_repo_licenses list | max_stars_count int64 1 53k ⌀ | max_stars_repo_stars_event_min_datetime stringlengths 24 24 ⌀ | max_stars_repo_stars_event_max_datetime stringlengths 24 24 ⌀ | max_issues_repo_path stringlengths 4 184 | max_issues_repo_name stringlengths 6 72 | max_issues_repo_head_hexsha stringlengths 40 40 | max_issues_repo_licenses list | max_issues_count int64 1 27.1k ⌀ | max_issues_repo_issues_event_min_datetime stringlengths 24 24 ⌀ | max_issues_repo_issues_event_max_datetime stringlengths 24 24 ⌀ | max_forks_repo_path stringlengths 4 184 | max_forks_repo_name stringlengths 6 72 | max_forks_repo_head_hexsha stringlengths 40 40 | max_forks_repo_licenses list | max_forks_count int64 1 12.2k ⌀ | max_forks_repo_forks_event_min_datetime stringlengths 24 24 ⌀ | max_forks_repo_forks_event_max_datetime stringlengths 24 24 ⌀ | content stringlengths 6 782k | avg_line_length float64 2.75 664k | max_line_length int64 5 782k | alphanum_fraction float64 0 1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
6181c9cbfd9cf9f4d3f767e23ef2931a83c6560a | 1,089 | py | Python | Algorithms/5_Searching/8.py | abphilip-codes/Hackerrank_DSA | bb9e233d9d45c5b14c138830602695ad4113fba4 | [
"MIT"
] | 1 | 2021-11-25T13:39:30.000Z | 2021-11-25T13:39:30.000Z | Algorithms/5_Searching/8.py | abphilip-codes/Hackerrank_DSA | bb9e233d9d45c5b14c138830602695ad4113fba4 | [
"MIT"
] | null | null | null | Algorithms/5_Searching/8.py | abphilip-codes/Hackerrank_DSA | bb9e233d9d45c5b14c138830602695ad4113fba4 | [
"MIT"
] | null | null | null | # https://www.hackerrank.com/challenges/gridland-metro/problem
#!/bin/python3
import math
import os
import random
import re
import sys
#
# Complete the 'gridlandMetro' function below.
#
# The function is expected to return an INTEGER.
# The function accepts following parameters:
# 1. INTEGER n
# 2. INTEGER m
# 3.... | 21.78 | 62 | 0.56933 |
dccae90a6f716e3cb12f9ab58f0392b5a828ff7a | 4,771 | py | Python | tests/form.py | DanielGrams/gsevp | e94034f7b64de76f38754b56455e83092378261f | [
"MIT"
] | 1 | 2021-06-01T14:49:18.000Z | 2021-06-01T14:49:18.000Z | tests/form.py | DanielGrams/gsevp | e94034f7b64de76f38754b56455e83092378261f | [
"MIT"
] | 286 | 2020-12-04T14:13:00.000Z | 2022-03-09T19:05:16.000Z | tests/form.py | DanielGrams/cityservice | c487c34b5ba6541dcb441fe903ab2012c2256893 | [
"MIT"
] | null | null | null | import urllib.parse
from werkzeug.datastructures import MultiDict
# see https://www.w3.org/TR/html52/sec-forms.html
class Form:
def __init__(self, form):
assert form.name == "form" # feed me BeautifulSoup <form> tags
self.form = form
self._action = form.get("action", "")
self._m... | 35.340741 | 83 | 0.536994 |
9faf365952bdcd430b0f8cc80c71768b3a91871c | 2,865 | py | Python | b01lers/2021/crypto/Unlucky_Strike/server.py | mystickev/ctf-archives | 89e99a5cd5fb6b2923cad3fe1948d3ff78649b4e | [
"MIT"
] | 6 | 2021-04-10T10:46:01.000Z | 2022-03-15T08:04:53.000Z | b01lers/2021/crypto/Unlucky_Strike/server.py | ruhan-islam/ctf-archives | 8c2bf6a608c821314d1a1cfaa05a6cccef8e3103 | [
"MIT"
] | 1 | 2021-05-20T03:38:52.000Z | 2021-05-20T03:44:55.000Z | b01lers/2021/crypto/Unlucky_Strike/server.py | ruhan-islam/ctf-archives | 8c2bf6a608c821314d1a1cfaa05a6cccef8e3103 | [
"MIT"
] | 3 | 2021-04-10T12:10:01.000Z | 2021-11-05T18:05:44.000Z | from Crypto.Random import get_random_bytes
from Crypto.Cipher import AES
import sys, base64, time
from proprietary_data import *
def pkcs7(msg):
padlen = 16 - (len(msg) & 0xf)
return msg + bytes([padlen]*padlen)
def unpkcs7(padded):
while True:
if (len(padded) & 0xf) != 0 or len(padded) == 0: break
... | 32.931034 | 106 | 0.5637 |
4cc5861d97e032211db2db704324e557ae4b354b | 356 | py | Python | Curso-Em-Video-Python/2Exercicios/055_maior_e_menor_peso.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | Curso-Em-Video-Python/2Exercicios/055_maior_e_menor_peso.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | Curso-Em-Video-Python/2Exercicios/055_maior_e_menor_peso.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | maior = 0
menor =0
for c in range(1, 6):
peso = float(input('Peso da {}° pessoa: '.format(c)))
if c == 1:
maior = peso
menor = peso
else:
if peso > maior:
maior = peso
if peso < menor:
menor = peso
print('O maior peso é {:.2f}'.format(maior))
print('O ... | 23.733333 | 57 | 0.511236 |
e2c6f859b3bdcb7ebdb31584e67072917a228ef9 | 2,988 | py | Python | listGenerator.py | phil1425/gs2quiz | 3d6b40744217be5b4fb634cd65a403042b0132ee | [
"MIT"
] | null | null | null | listGenerator.py | phil1425/gs2quiz | 3d6b40744217be5b4fb634cd65a403042b0132ee | [
"MIT"
] | null | null | null | listGenerator.py | phil1425/gs2quiz | 3d6b40744217be5b4fb634cd65a403042b0132ee | [
"MIT"
] | null | null | null | #program to create a javascript object containing all question of the quiz
import re
questions = open('questions.txt','r')
result = open('myQuestions.txt','w')
question = ''
answerA = ''
answerB = ''
answerC = ''
answerD = ''
ans = ''
result.write('var myQuestions = [\n')
l = questions.readline()
while True:
if... | 29.009709 | 127 | 0.489625 |
1aafa1683a4ef0050bd321a40127a2e58fa69477 | 192 | py | Python | blog/users/urls.py | XksA-me/brief_blog | 6473175f2d91e3f103de4dcb743a00576d0493c0 | [
"MIT"
] | 1 | 2021-09-06T04:21:40.000Z | 2021-09-06T04:21:40.000Z | blog/users/urls.py | XksA-me/brief_blog | 6473175f2d91e3f103de4dcb743a00576d0493c0 | [
"MIT"
] | null | null | null | blog/users/urls.py | XksA-me/brief_blog | 6473175f2d91e3f103de4dcb743a00576d0493c0 | [
"MIT"
] | null | null | null | # 进行users 子应用的视图路由
from django.urls import path
from . import views
urlpatterns = [
# 第一个参数：路由
# 第二个参数：视图函数名
path('register/', views.RegisterView.as_view(), name='register'),
]
| 16 | 69 | 0.677083 |
46f0abf30367974edb939971c051dbd1916920fb | 1,811 | py | Python | plannung.py | caxenie/oom-oop-intro | e70cd2ab8067b4d81001b7491deab9e029eefd3d | [
"MIT"
] | 1 | 2022-02-23T20:18:35.000Z | 2022-02-23T20:18:35.000Z | plannung.py | caxenie/oom-oop-intro | e70cd2ab8067b4d81001b7491deab9e029eefd3d | [
"MIT"
] | null | null | null | plannung.py | caxenie/oom-oop-intro | e70cd2ab8067b4d81001b7491deab9e029eefd3d | [
"MIT"
] | null | null | null | import random
MIN_EBENE = 1.4
MAX_EBENE = 2.5
class StahlProzessPlannung(object):
def __init__(self, a, n, g):
self.prozessGliederAnzahl = a
self.prozessGliederName = n
self.prozessGlieder = g
def getProzessGliederAnzahl(self):
return self.prozessGliederAnzahl
... | 34.169811 | 120 | 0.630591 |
3739ed723351c5b1e4d8bed43757acd3e8c45335 | 8,423 | py | Python | wz/datatable-editor.py | gradgrind/WZ | 672d93a3c9d7806194d16d6d5b9175e4046bd068 | [
"Apache-2.0"
] | null | null | null | wz/datatable-editor.py | gradgrind/WZ | 672d93a3c9d7806194d16d6d5b9175e4046bd068 | [
"Apache-2.0"
] | null | null | null | wz/datatable-editor.py | gradgrind/WZ | 672d93a3c9d7806194d16d6d5b9175e4046bd068 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
datatable-editor.py
Last updated: 2021-10-21
Gui editor for "DataTables".
=+LICENCE=================================
Copyright 2021 Michael Towers
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
Yo... | 35.242678 | 76 | 0.630179 |
373ec7b165b32a3b992ee182cdbf9edf74ec5bd3 | 2,207 | py | Python | biofid-Toolkit/BIOfid-Toolkit.py | texttechnologylab/AbbyyViewer | 83256858202f4c82d11b6d44cc9aac609038bca9 | [
"Apache-2.0"
] | null | null | null | biofid-Toolkit/BIOfid-Toolkit.py | texttechnologylab/AbbyyViewer | 83256858202f4c82d11b6d44cc9aac609038bca9 | [
"Apache-2.0"
] | 6 | 2021-03-10T01:02:38.000Z | 2022-02-26T20:55:19.000Z | biofid-Toolkit/BIOfid-Toolkit.py | texttechnologylab/AbbyyViewer | 83256858202f4c82d11b6d44cc9aac609038bca9 | [
"Apache-2.0"
] | null | null | null | import BlockRemover
import HypernymPredictor
import HypernymTrainingSetCreator
# Print some hints
print("\nBIOfid Toolkit\n")
print("WARNING: This toolkit works only for Abbyy FineReader, Version 8.0\n")
print("This toolkit provides two tools for the work with the Abbyy FineReader")
print("output file format:\n")
pri... | 36.180328 | 183 | 0.666516 |
375b5aa8252cbca339cf0dcea65788228a918bc7 | 1,673 | py | Python | twitter_bot/bot.py | Jonathannsegal/map_tab | 950ee207686fd417484f7fac5b688ee02e6fe7a6 | [
"MIT"
] | 3 | 2020-09-21T17:57:06.000Z | 2021-06-09T01:21:06.000Z | twitter_bot/bot.py | Jonathannsegal/map_tab | 950ee207686fd417484f7fac5b688ee02e6fe7a6 | [
"MIT"
] | 22 | 2020-07-21T11:02:13.000Z | 2022-03-27T02:05:39.000Z | twitter_bot/bot.py | Jonathannsegal/map_tab | 950ee207686fd417484f7fac5b688ee02e6fe7a6 | [
"MIT"
] | null | null | null | import tweepy
import wikipedia
import time
from keys import *
auth = tweepy.OAuthHandler(CONSUMER_KEY, CONSUMER_SECRET)
auth.set_access_token(ACCESS_KEY, ACCESS_SECRET)
api = tweepy.API(auth)
FILE_NAME = 'last_seen_id.txt'
def retrieve_last_seen_id(file_name):
f_read = open(file_name, 'r')
last_seen_id = int... | 33.46 | 120 | 0.642558 |
3774279a613d71531be302fd682950cbf6c8e0e7 | 391 | py | Python | 1_BasicFeatures/Logic/operators.py | felixdittrich92/Python3 | 16b767465e4bdf0adc652c195d15384bb9faa4cf | [
"MIT"
] | 1 | 2022-03-02T07:16:30.000Z | 2022-03-02T07:16:30.000Z | 1_BasicFeatures/Logic/operators.py | felixdittrich92/Python3 | 16b767465e4bdf0adc652c195d15384bb9faa4cf | [
"MIT"
] | null | null | null | 1_BasicFeatures/Logic/operators.py | felixdittrich92/Python3 | 16b767465e4bdf0adc652c195d15384bb9faa4cf | [
"MIT"
] | null | null | null | # boolesche Operatoren: and, or, not
# Vergleichsoperatoren: <, >, <=, =>, ==, !=
# Reihenfolge der Operationen:
# 1.) ()
# 2.) Vergleichsoperationen
# 3.) boolesche Operationen (Reihenfolge beim auswerten: 1. not 2. and 3. or)
a = True
b = False
c = True
statement = a > b and c == a or not a and c
print(statement)
... | 23 | 77 | 0.631714 |
2fb73f435f891ecb007309e6ff4e6cb246db76ee | 11,871 | py | Python | scripts/fig1_and_fig2.py | gavstrik/BC | 2085872f1ff4241dcf4a5ef64eaa0601fb8ac454 | [
"MIT"
] | null | null | null | scripts/fig1_and_fig2.py | gavstrik/BC | 2085872f1ff4241dcf4a5ef64eaa0601fb8ac454 | [
"MIT"
] | null | null | null | scripts/fig1_and_fig2.py | gavstrik/BC | 2085872f1ff4241dcf4a5ef64eaa0601fb8ac454 | [
"MIT"
] | null | null | null | import os
import numpy as np
import pandas as pd
from scipy.stats import mode, ks_2samp, mannwhitneyu, shapiro, pearsonr, kstest
import matplotlib.pyplot as plt
from matplotlib import style
import matplotlib.mlab as mlab
from statsmodels.graphics.gofplots import qqplot
from tabulate import tabulate
import random
from c... | 41.506993 | 161 | 0.621852 |
4435c69a4fa62da9fa875661ed216248e13e23b5 | 3,037 | py | Python | docs/moxing_api_doc/scripts/mox_flowers.py | hellfire0831/ModelArts-Lab | 3e826a5b388244c0588b7bb916184750997ab272 | [
"Apache-2.0"
] | 1,045 | 2019-05-09T02:50:43.000Z | 2022-03-31T06:22:11.000Z | docs/moxing_api_doc/scripts/mox_flowers.py | hellfire0831/ModelArts-Lab | 3e826a5b388244c0588b7bb916184750997ab272 | [
"Apache-2.0"
] | 1,468 | 2019-05-16T00:48:18.000Z | 2022-03-08T04:12:44.000Z | docs/moxing_api_doc/scripts/mox_flowers.py | hellfire0831/ModelArts-Lab | 3e826a5b388244c0588b7bb916184750997ab272 | [
"Apache-2.0"
] | 1,077 | 2019-05-09T02:50:53.000Z | 2022-03-27T11:05:32.000Z | # encoding: utf-8
import sys
import tensorflow as tf
from tensorflow.contrib import slim
import moxing.tensorflow as mox
from moxing.tensorflow.optimizer import learning_rate_scheduler
tf.flags.DEFINE_string('data_url', None, 'Necessary. dataset dir')
tf.flags.DEFINE_string('train_url', None, 'Optional. train_dir')
... | 38.443038 | 106 | 0.636813 |
2b9deb31be915a9d01ea03c60c1f9ab6696e07fd | 6,645 | py | Python | Keith/Geodatenhandling 2 L.py | FabianV1984/TheMostDangerousSwissRoad | e5ffdb6fae39c60d8b5d6247e9d2839f8103df98 | [
"MIT"
] | null | null | null | Keith/Geodatenhandling 2 L.py | FabianV1984/TheMostDangerousSwissRoad | e5ffdb6fae39c60d8b5d6247e9d2839f8103df98 | [
"MIT"
] | null | null | null | Keith/Geodatenhandling 2 L.py | FabianV1984/TheMostDangerousSwissRoad | e5ffdb6fae39c60d8b5d6247e9d2839f8103df98 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
# # Geodatenhandling 2
#
# **Inhalt:** Geopandas für Fortgeschrittene
#
# **Nötige Skills**
# - Basic pandas skills
# - Funktionen und pandas
# - Erste Schritte mit Geopandas
# - Geodatenhandling 1
#
# **Lernziele**
# - Punkte, Linien, Polygone revisited
# - Eigenschaften von g... | 16.44802 | 225 | 0.694658 |
a650296be56e6c33610250a03a63316983bc9251 | 281 | py | Python | 922-sort-array-by-parity-ii/922-sort-array-by-parity-ii.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | 2 | 2021-12-05T14:29:06.000Z | 2022-01-01T05:46:13.000Z | 922-sort-array-by-parity-ii/922-sort-array-by-parity-ii.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | null | null | null | 922-sort-array-by-parity-ii/922-sort-array-by-parity-ii.py | hyeseonko/LeetCode | 48dfc93f1638e13041d8ce1420517a886abbdc77 | [
"MIT"
] | null | null | null | class Solution:
def sortArrayByParityII(self, nums: List[int]) -> List[int]:
even = [num for num in nums if num%2==0]
odd = [num for num in nums if num%2==1]
output=[None]*len(nums)
output[::2]=even
output[1::2]=odd
return output | 35.125 | 64 | 0.565836 |
4722895265b3bfa1962e959de9dfdbe3ced6d1fc | 5,425 | py | Python | Paddle_Industry_Practice_Sample_Library/Football_Action/PaddleVideo/paddlevideo/modeling/weight_init.py | linuxonly801/awesome-DeepLearning | b063757fa130c4d56aea5cce2e592610f1e169f9 | [
"Apache-2.0"
] | 5 | 2022-01-30T07:35:58.000Z | 2022-02-08T05:45:20.000Z | Paddle_Industry_Practice_Sample_Library/Football_Action/PaddleVideo/paddlevideo/modeling/weight_init.py | linuxonly801/awesome-DeepLearning | b063757fa130c4d56aea5cce2e592610f1e169f9 | [
"Apache-2.0"
] | 1 | 2022-01-14T02:33:28.000Z | 2022-01-14T02:33:28.000Z | Paddle_Industry_Practice_Sample_Library/Football_Action/PaddleVideo/paddlevideo/modeling/weight_init.py | linuxonly801/awesome-DeepLearning | b063757fa130c4d56aea5cce2e592610f1e169f9 | [
"Apache-2.0"
] | 1 | 2022-03-07T10:51:21.000Z | 2022-03-07T10:51:21.000Z | # Copyright (c) 2020 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 applic... | 34.335443 | 92 | 0.611982 |
5b5dfb7eae3e70637e3a76e8dbcfdb622ccc1b59 | 279 | py | Python | Tutorials/10 Days of Statistics/Day 6/central_limit_theorem1.py | xuedong/hacker-rank | ce8a60f80c2c6935b427f9409d7e826ee0d26a89 | [
"MIT"
] | 1 | 2021-02-22T17:37:45.000Z | 2021-02-22T17:37:45.000Z | Tutorials/10 Days of Statistics/Day 6/central_limit_theorem1.py | xuedong/hacker-rank | ce8a60f80c2c6935b427f9409d7e826ee0d26a89 | [
"MIT"
] | null | null | null | Tutorials/10 Days of Statistics/Day 6/central_limit_theorem1.py | xuedong/hacker-rank | ce8a60f80c2c6935b427f9409d7e826ee0d26a89 | [
"MIT"
] | null | null | null | #!/bin/python3
import sys
from math import erf, sqrt
def phi(x, mu, std):
return (1.0 + erf((x-mu) / (std*sqrt(2.0)))) / 2.0
total = float(input())
number = float(input())
mu = float(input())
std = float(input())
print(round(phi(total, number*mu, sqrt(number)*std), 4))
| 17.4375 | 56 | 0.620072 |
5ba682d120ac34578c0eb94e49469e4b523b5685 | 348 | py | Python | project/cli/user.py | DanielGrams/cityservice | c487c34b5ba6541dcb441fe903ab2012c2256893 | [
"MIT"
] | null | null | null | project/cli/user.py | DanielGrams/cityservice | c487c34b5ba6541dcb441fe903ab2012c2256893 | [
"MIT"
] | 35 | 2022-01-24T22:15:59.000Z | 2022-03-31T15:01:35.000Z | project/cli/user.py | DanielGrams/cityservice | c487c34b5ba6541dcb441fe903ab2012c2256893 | [
"MIT"
] | null | null | null | import click
from flask.cli import AppGroup
from project import app
from project.services.user import delete_old_anonymous_users
user_cli = AppGroup("user")
@user_cli.command("delete-old-anonymous")
def delete_old_anonymous():
delete_old_anonymous_users()
click.echo("Old anonymous users were deleted.")
ap... | 20.470588 | 60 | 0.793103 |
5bb1d6ab7f961b0d5f1dfed5ea16738799301145 | 1,018 | py | Python | kNearestNeighbour.py | FrieAT/MD_CompressedWavelet | 82bd10edd611485cd5f0b81da744e07a3b7c98eb | [
"MIT"
] | 2 | 2020-03-28T11:50:45.000Z | 2020-12-08T13:36:26.000Z | kNearestNeighbour.py | FrieAT/MD_CompressedWavelet | 82bd10edd611485cd5f0b81da744e07a3b7c98eb | [
"MIT"
] | 2 | 2020-04-20T11:12:59.000Z | 2020-05-11T05:37:36.000Z | kNearestNeighbour.py | FrieAT/MD_CompressedWavelet | 82bd10edd611485cd5f0b81da744e07a3b7c98eb | [
"MIT"
] | null | null | null |
from IProcess import IProcess, EDataType
class kNearestNeighbour(IProcess):
def __init__(self):
IProcess.__init__(self)
def getType(self):
return EDataType.KNN
# Assuming imageData.data are the (n - 1) images.
# The image to check against is the imageData itself.
def do(self, imageData):
IProcess.do(self... | 24.829268 | 75 | 0.710216 |
751d13e2914c22c087608816c477e3e4fa97dc5c | 315 | py | Python | Problems/Two Pointers/easy/ShortestDistanceToACharacter/test_shortest_distance_to_character.py | dolong2110/Algorithm-By-Problems-Python | 31ecc7367aaabdd2b0ac0af7f63ca5796d70c730 | [
"MIT"
] | 1 | 2021-08-16T14:52:05.000Z | 2021-08-16T14:52:05.000Z | Problems/Two Pointers/easy/ShortestDistanceToACharacter/test_shortest_distance_to_character.py | dolong2110/Algorithm-By-Problems-Python | 31ecc7367aaabdd2b0ac0af7f63ca5796d70c730 | [
"MIT"
] | null | null | null | Problems/Two Pointers/easy/ShortestDistanceToACharacter/test_shortest_distance_to_character.py | dolong2110/Algorithm-By-Problems-Python | 31ecc7367aaabdd2b0ac0af7f63ca5796d70c730 | [
"MIT"
] | null | null | null | from unittest import TestCase
from shortest_distance_to_character import shortestToChar
class Test(TestCase):
def test_shortest_to_char(self):
self.assertEqual(shortestToChar("loveleetcode", "e"), [3, 2, 1, 0, 1, 0, 0, 1, 2, 2, 1, 0])
self.assertEqual(shortestToChar("aaab", "b"), [3, 2, 1, 0]) | 45 | 99 | 0.688889 |
f37d8d835f04d7fc8a731f98c0c7a1ecaa247537 | 1,184 | py | Python | tools/pythonpkg/tests/fast/pandas/test_timestamp.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_timestamp.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_timestamp.py | AldoMyrtaj/duckdb | 3aa4978a2ceab8df25e4b20c388bcd7629de73ed | [
"MIT"
] | 270 | 2021-04-09T06:18:28.000Z | 2022-03-31T11:55:37.000Z | import duckdb
import os
import datetime
import pytest
import pandas as pd
class TestPandasTimestamps(object):
def test_timestamp_types_roundtrip(self, duckdb_cursor):
d = {'a': [pd.Timestamp(datetime.datetime.now(), unit='s')], 'b': [pd.Timestamp(datetime.datetime.now(), unit='ms')], 'c': [pd.Timestamp(dat... | 51.478261 | 239 | 0.636824 |
f380524e210c627d2daceac12b5ae0a1930ab8af | 6,545 | py | Python | labeldcm/module/static.py | hyh520/label-dcm | 07f8257dcc52b827fcb6d1dec311b532c3ae8925 | [
"MIT"
] | 1 | 2021-12-20T11:06:42.000Z | 2021-12-20T11:06:42.000Z | labeldcm/module/static.py | hyh520/label-dcm | 07f8257dcc52b827fcb6d1dec311b532c3ae8925 | [
"MIT"
] | null | null | null | labeldcm/module/static.py | hyh520/label-dcm | 07f8257dcc52b827fcb6d1dec311b532c3ae8925 | [
"MIT"
] | null | null | null | from labeldcm.module.config import config
import math
import numpy
import os
from PIL import Image
from pydicom import dcmread
from PyQt5.QtCore import QPointF, QRectF
# 判断文件是否可读
def isImgAccess(imgDir: str):
return os.access(imgDir, os.R_OK)
def toDate(date: str):
return date[0:4] + '年' + date[4:6] + '月' + d... | 36.977401 | 108 | 0.571734 |
342b19d8b6463a0fc03495eebc5a01710b657e52 | 235 | py | Python | Lab5/quadratic.py | ishaanx/Labs | 9080e052a1655af28f14fcf3e777bf2a994f6543 | [
"MIT"
] | null | null | null | Lab5/quadratic.py | ishaanx/Labs | 9080e052a1655af28f14fcf3e777bf2a994f6543 | [
"MIT"
] | null | null | null | Lab5/quadratic.py | ishaanx/Labs | 9080e052a1655af28f14fcf3e777bf2a994f6543 | [
"MIT"
] | null | null | null | import cmath
a = 1
b = 2
c = 3
#Discriminant calculation
d = (b**2) - (4*a*c)
#calculate square root using cmath
sol1 = -b-cmath.sqrt(d)/(2*a)
sol2 = -b+cmath.sqrt(d)/(2*a)
print("The solutions are {0} and {1}".format(sol1,sol2)) | 14.6875 | 56 | 0.629787 |
1b70ad9ba1ee003c1ca3da488d2a4165557dfefe | 155 | py | Python | PYTHON/Basic_Data_Types/find_the_second_largest_number.py | byung-u/HackerRank | 4c02fefff7002b3af774b99ebf8d40f149f9d163 | [
"MIT"
] | null | null | null | PYTHON/Basic_Data_Types/find_the_second_largest_number.py | byung-u/HackerRank | 4c02fefff7002b3af774b99ebf8d40f149f9d163 | [
"MIT"
] | null | null | null | PYTHON/Basic_Data_Types/find_the_second_largest_number.py | byung-u/HackerRank | 4c02fefff7002b3af774b99ebf8d40f149f9d163 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import sys
if __name__ == '__main__':
n = int(input())
L = sorted(list(set(map(int, input().split()))))
print(L[-2])
| 15.5 | 52 | 0.574194 |
8468beb3ea8e8414fd47805bb79f91cffd785c05 | 8,583 | py | Python | plotting/scripts/plot_threshold.py | metxchris/MMM-Explorer | 251b4d7af56241882611bc47e94ec2923e4be8da | [
"MIT"
] | null | null | null | plotting/scripts/plot_threshold.py | metxchris/MMM-Explorer | 251b4d7af56241882611bc47e94ec2923e4be8da | [
"MIT"
] | null | null | null | plotting/scripts/plot_threshold.py | metxchris/MMM-Explorer | 251b4d7af56241882611bc47e94ec2923e4be8da | [
"MIT"
] | null | null | null | #!/usr/bin/python3
"""Plot growth rate thresholds from threshold scans
This script is a mess.
"""
# Standard Packages
import sys; sys.path.insert(0, '../'); sys.path.insert(0, '../../')
import logging
# 3rd Party Packages
import numpy as np
from PyQt5.QtGui import QImage
from PyQt5.QtWidgets import QApplication
# ... | 39.736111 | 123 | 0.649307 |
04cf343ea69e6e67dfccac54f40db8b03819718b | 2,255 | py | Python | qmk_firmware/keyboards/dekunukem/duckypad/keymaps/m4cs/sysinfo.py | DanTupi/personal_setup | 911b4951e4d8b78d6ea8ca335229e2e970fda871 | [
"MIT"
] | null | null | null | qmk_firmware/keyboards/dekunukem/duckypad/keymaps/m4cs/sysinfo.py | DanTupi/personal_setup | 911b4951e4d8b78d6ea8ca335229e2e970fda871 | [
"MIT"
] | null | null | null | qmk_firmware/keyboards/dekunukem/duckypad/keymaps/m4cs/sysinfo.py | DanTupi/personal_setup | 911b4951e4d8b78d6ea8ca335229e2e970fda871 | [
"MIT"
] | null | null | null |
###
# M4cs Keymap for dekuNukem/duckyPad QMK firmware
# Copyright (C) 2020 Max Bridgland
# 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 3 of the License, or
# (at your option)... | 28.544304 | 108 | 0.695787 |
8e1eca52d87ef1e762b6baa0f2645702a695c9a0 | 804 | py | Python | doc/examples/bench_row_sum/row_sum_jit.py | fluiddyn/transonic | a460e9f6d1139f79b668cb3306d1e8a7e190b72d | [
"BSD-3-Clause"
] | 88 | 2019-01-08T16:39:08.000Z | 2022-02-06T14:19:23.000Z | doc/examples/bench_row_sum/row_sum_jit.py | fluiddyn/transonic | a460e9f6d1139f79b668cb3306d1e8a7e190b72d | [
"BSD-3-Clause"
] | 13 | 2019-06-20T15:53:10.000Z | 2021-02-09T11:03:29.000Z | doc/examples/bench_row_sum/row_sum_jit.py | fluiddyn/transonic | a460e9f6d1139f79b668cb3306d1e8a7e190b72d | [
"BSD-3-Clause"
] | 1 | 2019-11-05T03:03:14.000Z | 2019-11-05T03:03:14.000Z | import numpy as np
from transonic import jit
@jit(native=True, xsimd=True)
def row_sum(arr, columns):
return arr.T[columns].sum(0)
@jit(native=True, xsimd=True)
def row_sum_loops(arr, columns):
res = np.empty(arr.shape[0], dtype=arr.dtype)
for i in range(arr.shape[0]):
sum_ = 0
for j in... | 22.333333 | 52 | 0.656716 |
ed8d4761933f8c4c51759897474f62ddea2c7f48 | 868 | py | Python | Code/mvn.py | knirschl/Proseminar-Anthropomatik | 0408e54cf220c40a6f3deae6ae8d38c5f1f4f387 | [
"MIT"
] | null | null | null | Code/mvn.py | knirschl/Proseminar-Anthropomatik | 0408e54cf220c40a6f3deae6ae8d38c5f1f4f387 | [
"MIT"
] | null | null | null | Code/mvn.py | knirschl/Proseminar-Anthropomatik | 0408e54cf220c40a6f3deae6ae8d38c5f1f4f387 | [
"MIT"
] | null | null | null | import numpy as np
ONE_HALF = 0.5
PI2 = 2 * np.pi
'''
Stack two arrays together as x, y value
'''
def stack(L, L_):
return np.stack((L, L_), axis=0)
def exp(x, mu, cov) -> np.double:
x_min_mu = x - mu
x_min_mu_T = np.transpose(x_min_mu)
cov_inv = np.linalg.inv(cov)
return np.exp(-ONE_HALF * np.... | 24.8 | 73 | 0.565668 |
edb5844e982efdd4691c44c60836089d8e2407fb | 381 | py | Python | server/bumf/api/views/__init__.py | bumfiness/bumf | 71c404c0a8f804b8f0e127df3de6d8916db4c660 | [
"Apache-2.0"
] | 6 | 2017-01-07T17:59:46.000Z | 2017-02-10T13:19:46.000Z | server/bumf/api/views/__init__.py | rixx/bumf | 71c404c0a8f804b8f0e127df3de6d8916db4c660 | [
"Apache-2.0"
] | null | null | null | server/bumf/api/views/__init__.py | rixx/bumf | 71c404c0a8f804b8f0e127df3de6d8916db4c660 | [
"Apache-2.0"
] | null | null | null | from .account import BudgetAccountView, RealAccountView
from .auth import UserView
from .project import ProjectView
from .transaction import (
DossierView, RealTransactionView, VirtualTransactionView,
)
__all__ = [
'BudgetAccountView',
'DossierView',
'ProjectView',
'RealAccountView',
'RealTrans... | 22.411765 | 61 | 0.740157 |
1e7093df4a8ae10c75eb5d2bf8daf64a848318bc | 200 | py | Python | exercises/pt/solution_01_02_01.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | null | null | null | exercises/pt/solution_01_02_01.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | null | null | null | exercises/pt/solution_01_02_01.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | null | null | null | # Importar a biblioteca spaCy
import spacy
# Crie um objeto nlp do Inglês
nlp = spacy.blank("en")
# Processe o texto
doc = nlp("This is a sentence.")
# Imprima o texto do documento
print(doc.text)
| 16.666667 | 32 | 0.72 |
44a15e9ad03fb6d23baf5931fd69d2e7cd960c30 | 893 | py | Python | Problems/Depth-First Search/medium/FindElementsinContaminatedBT/find_elements_contaminated_bt.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/FindElementsinContaminatedBT/find_elements_contaminated_bt.py | dolong2110/Algorithm-By-Problems-Python | 31ecc7367aaabdd2b0ac0af7f63ca5796d70c730 | [
"MIT"
] | null | null | null | Problems/Depth-First Search/medium/FindElementsinContaminatedBT/find_elements_contaminated_bt.py | dolong2110/Algorithm-By-Problems-Python | 31ecc7367aaabdd2b0ac0af7f63ca5796d70c730 | [
"MIT"
] | null | null | null | from typing import Optional
# Definition for a binary tree node.
class TreeNode:
def __init__(self, val=0, left=None, right=None):
self.val = val
self.left = left
self.right = right
class FindElements:
def __init__(self, root: Optional[TreeNode]):
self.root = root
sel... | 27.90625 | 82 | 0.641657 |
01d6234ff354def222506dde13301e02af486971 | 487 | py | Python | doku/forms.py | xJasonxy/einsatzdoku | 8af84446f99475519adaf803619f2c57174c517b | [
"MIT"
] | 1 | 2020-07-09T16:53:45.000Z | 2020-07-09T16:53:45.000Z | doku/forms.py | xJasonxy/Einsatzdoku | 8af84446f99475519adaf803619f2c57174c517b | [
"MIT"
] | null | null | null | doku/forms.py | xJasonxy/Einsatzdoku | 8af84446f99475519adaf803619f2c57174c517b | [
"MIT"
] | null | null | null | from django import forms
from django.forms import ModelForm
from django.forms.widgets import TextInput
from .models import Zug, Ort
class ZugForm(ModelForm):
class Meta:
model = Zug
fields = '__all__'
widgets = {
'Farbe': TextInput(attrs={'type': 'color'}),
}
class Or... | 22.136364 | 56 | 0.579055 |
177dd34268fbf5dd956f25a2ac1f4633d114773f | 12,358 | py | Python | ui/form.py | MakiseVon/LabelDcm | f220ec182cae4cd64167399e28ebe7d9442f28b2 | [
"MIT"
] | null | null | null | ui/form.py | MakiseVon/LabelDcm | f220ec182cae4cd64167399e28ebe7d9442f28b2 | [
"MIT"
] | null | null | null | ui/form.py | MakiseVon/LabelDcm | f220ec182cae4cd64167399e28ebe7d9442f28b2 | [
"MIT"
] | 2 | 2021-02-03T04:34:26.000Z | 2021-02-03T06:32:48.000Z | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'form.ui'
#
# Created by: PyQt5 UI code generator 5.15.2
#
# WARNING: Any manual changes made to this file will be lost when pyuic5 is
# run again. Do not edit this file unless you know what you are doing.
from PyQt5 import QtCore, QtGui, ... | 55.169643 | 108 | 0.722285 |
bd8cb8414bd2f834faf832990326f64cc5bfb01f | 1,298 | py | Python | codeit/oop/single_response_principle/student.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | codeit/oop/single_response_principle/student.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | codeit/oop/single_response_principle/student.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | class Student:
def __init__(self, name, id, major):
self.name = name
self.id = id
self.major = major
self.grades = GradeManager()
def change_student_info(self, new_name, new_id, new_major):
"""학생 기본 정보 수정 메소드"""
self.name = new_name
self.id = new_id
... | 24.490566 | 63 | 0.583975 |
bdf930b246ccbfb3e0ca60d11b633bd173155870 | 11,705 | py | Python | SBTK_League_Helper/user_interfaces/__DEPRECATED/console_ui/mock_widgets/drawing.py | juanchodepisa/sbtk | 7cba7748e75a02b491e551d6c1be9bd7987c5051 | [
"MIT"
] | null | null | null | SBTK_League_Helper/user_interfaces/__DEPRECATED/console_ui/mock_widgets/drawing.py | juanchodepisa/sbtk | 7cba7748e75a02b491e551d6c1be9bd7987c5051 | [
"MIT"
] | null | null | null | SBTK_League_Helper/user_interfaces/__DEPRECATED/console_ui/mock_widgets/drawing.py | juanchodepisa/sbtk | 7cba7748e75a02b491e551d6c1be9bd7987c5051 | [
"MIT"
] | null | null | null | from math import floor
from src import class_initializer
from src.tools.markers import AdHocMarker
# ┌─┬┐
# │ ││
# ├─┼┤
# └─┴┘
# ("simple border", "CP850")
# ╔═╦╗
# ║ ║║
# ╠═╬╣
# ╚═╩╝
# ("double border", "CP850")
# +-++
# | || NOT YET SUPPORTED
# +-++
# +-++
# . ,.
# \ / \ / \ /
# \ / X )( o... | 31.893733 | 124 | 0.548056 |
0063a67174f864493c429a8cfce91e15dcfa3371 | 56,664 | py | Python | SIMBF-main/SIMBF.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | 2 | 2021-11-17T03:35:03.000Z | 2021-12-08T06:00:31.000Z | SIMBF-main/SIMBF.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | null | null | null | SIMBF-main/SIMBF.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | 2 | 2021-11-05T18:07:48.000Z | 2022-02-24T21:25:07.000Z | #Compiled By xNot_Found
#Github : https://github.com/hatakecnk
import marshal
exec(marshal.loads('c\x00\x00\x00\x00\x00\x00\x00\x00\x0c\x00\x00\x00@\x00\x00\x00s\x15\x03\x00\x00d\x00\x00d\x01\x00l\x00\x00Z\x00\x00d\x00\x00d\x01\x00l\x01\x00Z\x01\x00d\x00\x00d\x01\x00l\x02\x00Z\x02\x00d\x00\x00d\x01\x00l\x03\x00Z\x03\x0... | 14,166 | 56,586 | 0.748553 |
c14b62892a592b9567c8af9aaccc68aa099ee998 | 5,670 | py | Python | run.py | FrieAT/MD_CompressedWavelet | 82bd10edd611485cd5f0b81da744e07a3b7c98eb | [
"MIT"
] | 2 | 2020-03-28T11:50:45.000Z | 2020-12-08T13:36:26.000Z | run.py | FrieAT/MD_CompressedWavelet | 82bd10edd611485cd5f0b81da744e07a3b7c98eb | [
"MIT"
] | 2 | 2020-04-20T11:12:59.000Z | 2020-05-11T05:37:36.000Z | run.py | FrieAT/MD_CompressedWavelet | 82bd10edd611485cd5f0b81da744e07a3b7c98eb | [
"MIT"
] | null | null | null | #!/usr/local/bin/python3.8
from ImageData import OrigPic, WaveletPic, ScanAssets, StationaryWaveletPic, CropImageByClass, DTCWaveletPic
from FVExtraction import FVExtraction
from AssetPreperation import AssetPreperation
from ImageData import LOOCV, EuclideanDistance, kNearestNeighbour, PipelineManager, CachedFile, Tar... | 33.75 | 131 | 0.661199 |
c1769224252730c84c90f3967671b3e1cc1bc33f | 1,190 | py | Python | Versuch2/task3.2.py | Tobias-Schoch/SSS | f8b078ca7f6482fc7c89d5f9e784a549459eefb7 | [
"MIT"
] | null | null | null | Versuch2/task3.2.py | Tobias-Schoch/SSS | f8b078ca7f6482fc7c89d5f9e784a549459eefb7 | [
"MIT"
] | null | null | null | Versuch2/task3.2.py | Tobias-Schoch/SSS | f8b078ca7f6482fc7c89d5f9e784a549459eefb7 | [
"MIT"
] | 1 | 2022-01-06T12:47:53.000Z | 2022-01-06T12:47:53.000Z | import numpy as np
import cv2
# -------- Aufgabe3.2 -------- #
# Vektor um die Werte der Subtraktion zu speichern
white_minus_black = np.zeros((480, 640))
# Weiß und Schwarz einlesen
whiteavg = cv2.imread('data/whiteaverage.png')
blackavg = cv2.imread('data/blackaverage.png')
image = cv2.imread("data/whiteminusblack... | 29.02439 | 62 | 0.698319 |
c1bae1c46abc433950e8ebc0edf3d7cad70b1538 | 209 | py | Python | presenter/errors.py | Limatationz/pandemiesimulator | 91d21fda2f9c77d616a9e9401271fc044b421007 | [
"MIT"
] | null | null | null | presenter/errors.py | Limatationz/pandemiesimulator | 91d21fda2f9c77d616a9e9401271fc044b421007 | [
"MIT"
] | null | null | null | presenter/errors.py | Limatationz/pandemiesimulator | 91d21fda2f9c77d616a9e9401271fc044b421007 | [
"MIT"
] | null | null | null | """
Element of the presenter.
Contains the error classes.
"""
class InfectionError(LookupError):
"""InfectionError is raised when the number of infected people is higher then the total number"""
| 23.222222 | 101 | 0.722488 |
41cf04b651e73ac515bb844d0ac89d001c758a23 | 107 | py | Python | matbench/__init__.py | sparks-baird/matbench | 4424609454286e32fff2bcc724379b2a316c5a76 | [
"MIT"
] | 15 | 2021-11-01T09:02:19.000Z | 2022-03-19T10:59:41.000Z | matbench/__init__.py | sparks-baird/matbench | 4424609454286e32fff2bcc724379b2a316c5a76 | [
"MIT"
] | 62 | 2021-09-20T14:09:59.000Z | 2022-03-30T19:03:22.000Z | matbench/__init__.py | ardunn/matbench | 7d11a2d63766339ec00e610e2255be29b81544d3 | [
"MIT"
] | 4 | 2021-03-22T10:37:42.000Z | 2021-07-20T14:11:28.000Z | from matbench.bench import MatbenchBenchmark
from matbench.constants import VERSION
__version__ = VERSION
| 21.4 | 44 | 0.859813 |
6b76fd54c561a22d5a6cb68a20d9ae44704f33d3 | 3,354 | py | Python | tests/test_query.py | goosechooser/benwaonline | e2879412aa6c3c230d25cd60072445165517b6b6 | [
"MIT"
] | null | null | null | tests/test_query.py | goosechooser/benwaonline | e2879412aa6c3c230d25cd60072445165517b6b6 | [
"MIT"
] | 16 | 2017-09-13T10:21:40.000Z | 2020-06-01T04:32:22.000Z | tests/test_query.py | goosechooser/benwaonline | e2879412aa6c3c230d25cd60072445165517b6b6 | [
"MIT"
] | null | null | null | import pytest
from marshmallow import pprint
from benwaonline.entities import User, Tag, Post
from benwaonline.query import Query, EntityQuery, Criteria, Or, And, EntityCriteria
def test_or():
c = Criteria('eq', 'username', 'Benwa Benwa Benwa')
c2 = Criteria('eq', 'username', 'Another Benwa Benwa')
q = Que... | 23.131034 | 83 | 0.491652 |
d42cab9a89ea284512eeef6779a26bb9b3aa41d4 | 290 | py | Python | Programming Languages/Python/Theory/100_Python_Challenges/Section_3_List/63. return the missing number in a list containing elements from 1-100.py | jaswinder9051998/Resources | fd468af37bf24ca57555d153ee64693c018e822e | [
"MIT"
] | 101 | 2021-12-20T11:57:11.000Z | 2022-03-23T09:49:13.000Z | Programming Languages/Python/Theory/100_Python_Challenges/Section_3_List/63. return the missing number in a list containing elements from 1-100.py | Sid-1164/Resources | 3987dcaeddc8825f9bc79609ff26094282b8ece1 | [
"MIT"
] | 4 | 2022-01-12T11:55:56.000Z | 2022-02-12T04:53:33.000Z | Programming Languages/Python/Theory/100_Python_Challenges/Section_3_List/63. return the missing number in a list containing elements from 1-100.py | Sid-1164/Resources | 3987dcaeddc8825f9bc79609ff26094282b8ece1 | [
"MIT"
] | 38 | 2022-01-12T11:56:16.000Z | 2022-03-23T10:07:52.000Z | """
Write a function that finds the missing element in a list containing elements from 1 - 100.
"""
def missing_num(input_list):
lst = 0
for i in range(1, 100):
if i not in input_list:
i = float(i)
lst = lst + i
return lst
| 20.714286 | 91 | 0.541379 |
d87e07107842835b5a37c3940b26b598641222bf | 3,564 | py | Python | packages/watchmen-rest-doll/src/watchmen_rest_doll/meta_import/connected_space_import_router.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | packages/watchmen-rest-doll/src/watchmen_rest_doll/meta_import/connected_space_import_router.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | packages/watchmen-rest-doll/src/watchmen_rest_doll/meta_import/connected_space_import_router.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | from typing import Callable, List, Optional
from fastapi import APIRouter, Depends
from starlette.responses import Response
from watchmen_auth import PrincipalService
from watchmen_meta.admin import SpaceService
from watchmen_meta.common import ask_meta_storage, ask_snowflake_generator
from watchmen_meta.console impo... | 40.5 | 109 | 0.834175 |
d8c9143534cd069b3f06fa3a5d3553b497a2595f | 3,599 | py | Python | src/ztc/pgsql/pgcluster.py | magistersart/ZTC_fork | ce72734ea575d9846b5b81f3efbfd14fa1f7e532 | [
"PostgreSQL"
] | null | null | null | src/ztc/pgsql/pgcluster.py | magistersart/ZTC_fork | ce72734ea575d9846b5b81f3efbfd14fa1f7e532 | [
"PostgreSQL"
] | null | null | null | src/ztc/pgsql/pgcluster.py | magistersart/ZTC_fork | ce72734ea575d9846b5b81f3efbfd14fa1f7e532 | [
"PostgreSQL"
] | null | null | null | #!/usr/bin/env python
#pylint: disable-msg=W0232
"""PgCluster ZTCCheck
Used to perform database-wide checks (like querying each database of the
cluster)
Copyright (c) pg_check.pl authors
Copyright (c) 2010-2011 Vladimir Rusinov <vladimir@greenmice.info>
Copyright (c) 2011 Wrike, Inc. [http://www.wrike.com]
"""
import... | 34.605769 | 79 | 0.534871 |
d8f4c87d4a80b6523ffe7e37231404bcc0d60c45 | 1,294 | py | Python | methods/transformers/tests/test_pipelines_text_generation.py | INK-USC/RiddleSense | a3d57eaf084da9cf6b77692c608e2cd2870fbd97 | [
"MIT"
] | 3 | 2021-07-06T20:02:31.000Z | 2022-03-27T13:13:01.000Z | methods/transformers/tests/test_pipelines_text_generation.py | INK-USC/RiddleSense | a3d57eaf084da9cf6b77692c608e2cd2870fbd97 | [
"MIT"
] | null | null | null | methods/transformers/tests/test_pipelines_text_generation.py | INK-USC/RiddleSense | a3d57eaf084da9cf6b77692c608e2cd2870fbd97 | [
"MIT"
] | null | null | null | import unittest
from transformers import pipeline
from .test_pipelines_common import MonoInputPipelineCommonMixin
class TextGenerationPipelineTests(MonoInputPipelineCommonMixin, unittest.TestCase):
pipeline_task = "text-generation"
pipeline_running_kwargs = {"prefix": "This is "}
small_models ... | 43.133333 | 89 | 0.676971 |
997046a07864cd271542fcd523023b2f7d0ea011 | 1,193 | py | Python | books/PythonAutomate/file_organize/backup_to_zip.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | books/PythonAutomate/file_organize/backup_to_zip.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | books/PythonAutomate/file_organize/backup_to_zip.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | # backup_to_zip.py - Copies an entire folder and its contents into
# a ZIP file whose filename increments
import os
import zipfile
def backup_to_zip(folder):
# Back up the entire contents of "folder" into a ZIP file
# Figure out the filename this code should use based on what files already exist
... | 30.589744 | 85 | 0.637049 |
5aaec088bfba9727f462ab439d079b26b8e6e133 | 155 | py | Python | template/python-application/PythonApplication.py | gbesancon/projects | 7a9da629dddcf21fbe5c043d86b00036f80cbe14 | [
"MIT"
] | null | null | null | template/python-application/PythonApplication.py | gbesancon/projects | 7a9da629dddcf21fbe5c043d86b00036f80cbe14 | [
"MIT"
] | 1 | 2022-03-02T10:43:58.000Z | 2022-03-02T10:43:58.000Z | template/python-application/PythonApplication.py | gbesancon/projects | 7a9da629dddcf21fbe5c043d86b00036f80cbe14 | [
"MIT"
] | null | null | null | """
Python Application
"""
import sys
import pa
def main(args):
pa.PythonApplication().main(args)
if __name__ == "__main__":
main(sys.argv[1:])
| 11.923077 | 37 | 0.658065 |
5c5c36792528094675aa4830f295caadc6c17342 | 1,925 | py | Python | src/fibonacci/fibonacci.py | jwvg0425/DSAndAlgo3 | 173ccf717b84610def861854736c3b16a57ac727 | [
"MIT"
] | null | null | null | src/fibonacci/fibonacci.py | jwvg0425/DSAndAlgo3 | 173ccf717b84610def861854736c3b16a57ac727 | [
"MIT"
] | null | null | null | src/fibonacci/fibonacci.py | jwvg0425/DSAndAlgo3 | 173ccf717b84610def861854736c3b16a57ac727 | [
"MIT"
] | null | null | null | def fibonacci(n):
if n < 2:
return n
else:
return fibonacci(n-1) + fibonacci(n-2)
def fibonacci_memo(n, memo):
if memo[n] != -1:
return memo[n]
if n < 2:
memo[n] = n
else:
memo[n] = fibonacci_memo(n-1,memo) + fibonacci_memo(n-2,memo)
return memo[n]
... | 24.367089 | 69 | 0.492468 |
5cde617f0f2863535e47a7ba748ae7ceff702ac0 | 101 | py | Python | agspiel/__init__.py | KingKevin23/agspiel-python-api | 33e74ff6bee2f9ce353da757bdb99e929acc1a13 | [
"MIT"
] | 1 | 2021-03-09T21:37:41.000Z | 2021-03-09T21:37:41.000Z | agspiel/__init__.py | KingKevin23/agspiel-python-api | 33e74ff6bee2f9ce353da757bdb99e929acc1a13 | [
"MIT"
] | 4 | 2020-11-13T19:34:58.000Z | 2021-07-24T16:25:27.000Z | agspiel/__init__.py | KingKevin23/agspiel-python-api | 33e74ff6bee2f9ce353da757bdb99e929acc1a13 | [
"MIT"
] | 1 | 2020-08-24T14:38:18.000Z | 2020-08-24T14:38:18.000Z | # Copyright (c) 2020 | KingKevin23 (@kingkevin023)
from . import api, utils
__all__ = [api, utils] | 20.2 | 51 | 0.693069 |
7a2fc3701ebfb3e0cccd43f0e95c33f0f81b9b38 | 478 | py | Python | exercises/pt/solution_03_09_01.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | null | null | null | exercises/pt/solution_03_09_01.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | null | null | null | exercises/pt/solution_03_09_01.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | null | null | null | import spacy
from spacy.tokens import Token
nlp = spacy.blank("pt")
# Definir o atributo "is_country" com o valor padrão como falso (False)
Token.set_extension("is_country", default=False)
# Processar o texto e atribuir o atributo is_country com valor verdadeiro (True) para o token "Spain"
doc = nlp("Eu moro na Espa... | 31.866667 | 101 | 0.75523 |
8f7a9bb6f72fa75777367a8b8df426e9896d8f36 | 5,115 | py | Python | research/cv/DBPN/src/util/config.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | research/cv/DBPN/src/util/config.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | research/cv/DBPN/src/util/config.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... | 68.2 | 120 | 0.692473 |
56f65aeeed396becec6e44dc3beac20c6ff5a4e9 | 269 | pyde | Python | sketches/randomCircles/randomCircles.pyde | kantel/processingpy | 74aae222e46f68d1c8f06307aaede3cdae65c8ec | [
"MIT"
] | 4 | 2018-06-03T02:11:46.000Z | 2021-08-18T19:55:15.000Z | sketches/randomCircles/randomCircles.pyde | kantel/processingpy | 74aae222e46f68d1c8f06307aaede3cdae65c8ec | [
"MIT"
] | null | null | null | sketches/randomCircles/randomCircles.pyde | kantel/processingpy | 74aae222e46f68d1c8f06307aaede3cdae65c8ec | [
"MIT"
] | 3 | 2019-12-23T19:12:51.000Z | 2021-04-30T14:00:31.000Z | def setup():
size(400, 400)
frame.setTitle("Konfetti!")
background(0)
def draw():
x = random(width)
y = random(height)
dia = random(5, 25)
r = random(255)
g = random(255)
b = random(255)
fill(r, g, b)
ellipse(x, y, dia, dia) | 19.214286 | 31 | 0.542751 |
85c084193393a3d8af6a1ace0a897e0365cc3ad0 | 20,920 | py | Python | GitMiner/GitMiner.py | Unam3dd/Train-2018-2020 | afb6ae70fe338cbe55a21b74648d91996b818fa2 | [
"MIT"
] | 4 | 2021-04-23T15:39:17.000Z | 2021-12-27T22:53:24.000Z | GitMiner/GitMiner.py | Unam3dd/Train-2018-2020 | afb6ae70fe338cbe55a21b74648d91996b818fa2 | [
"MIT"
] | null | null | null | GitMiner/GitMiner.py | Unam3dd/Train-2018-2020 | afb6ae70fe338cbe55a21b74648d91996b818fa2 | [
"MIT"
] | 2 | 2021-04-19T08:28:54.000Z | 2022-01-19T13:23:29.000Z | #!/usr/bin/python2
#-*- coding:utf-8 -*-
import json
import time
import threading
import platform
import logging
import os
import sys
import subprocess
import shlex
try:
import requests
except ImportError:
print('[*] Error Requests Module Not Found !')
try:
from datetime import datetime
except ImportErro... | 45.37961 | 162 | 0.511998 |
a42169f3432615290e3ec9f4c23c3842a2ec081b | 406 | py | Python | doc/for_dev/cython_bugs/purepy_nogil/pure_wo_pxd_ccall.py | fluiddyn/transonic | a460e9f6d1139f79b668cb3306d1e8a7e190b72d | [
"BSD-3-Clause"
] | 88 | 2019-01-08T16:39:08.000Z | 2022-02-06T14:19:23.000Z | doc/for_dev/cython_bugs/purepy_nogil/pure_wo_pxd_ccall.py | fluiddyn/transonic | a460e9f6d1139f79b668cb3306d1e8a7e190b72d | [
"BSD-3-Clause"
] | 13 | 2019-06-20T15:53:10.000Z | 2021-02-09T11:03:29.000Z | doc/for_dev/cython_bugs/purepy_nogil/pure_wo_pxd_ccall.py | fluiddyn/transonic | a460e9f6d1139f79b668cb3306d1e8a7e190b72d | [
"BSD-3-Clause"
] | 1 | 2019-11-05T03:03:14.000Z | 2019-11-05T03:03:14.000Z | # cython: language_level=3
import cython
@cython.ccall
@cython.inline
@cython.returns(cython.int)
@cython.locals(a=cython.int, b=cython.int)
@cython.nogil
def add(a, b):
return a + b
@cython.ccall
@cython.locals(n=cython.int, i=Py_ssize_t, result=cython.int)
def use_add(n):
result = 1
with cython.nogil:
... | 19.333333 | 61 | 0.674877 |
a451f2f63c99dfc8697b1ac6ece4dcf01aa43a01 | 1,193 | py | Python | migrations/versions/67216b6cf293_.py | DanielGrams/gsevp | e94034f7b64de76f38754b56455e83092378261f | [
"MIT"
] | 1 | 2021-06-01T14:49:18.000Z | 2021-06-01T14:49:18.000Z | migrations/versions/67216b6cf293_.py | DanielGrams/gsevp | e94034f7b64de76f38754b56455e83092378261f | [
"MIT"
] | 286 | 2020-12-04T14:13:00.000Z | 2022-03-09T19:05:16.000Z | migrations/versions/67216b6cf293_.py | DanielGrams/gsevpt | a92f71694388e227e65ed1b24446246ee688d00e | [
"MIT"
] | null | null | null | """empty message
Revision ID: 67216b6cf293
Revises: a336ac384c64
Create Date: 2020-08-01 15:43:11.377833
"""
import sqlalchemy as sa
from alembic import op
from project import dbtypes
from project.models import EventRejectionReason, EventReviewStatus
# revision identifiers, used by Alembic.
revision = "67216b6cf293... | 25.382979 | 88 | 0.666387 |
2d3f7789d5836dbc02f50efe78ee8c92933fede3 | 1,000 | pyde | Python | sketches/hilbertkurve/hilbertkurve.pyde | kantel/processingpy | 74aae222e46f68d1c8f06307aaede3cdae65c8ec | [
"MIT"
] | 4 | 2018-06-03T02:11:46.000Z | 2021-08-18T19:55:15.000Z | sketches/hilbertkurve/hilbertkurve.pyde | kantel/processingpy | 74aae222e46f68d1c8f06307aaede3cdae65c8ec | [
"MIT"
] | null | null | null | sketches/hilbertkurve/hilbertkurve.pyde | kantel/processingpy | 74aae222e46f68d1c8f06307aaede3cdae65c8ec | [
"MIT"
] | 3 | 2019-12-23T19:12:51.000Z | 2021-04-30T14:00:31.000Z | iterations = 7
stroke_len = 600
delta = 90
axiom = 'X'
sentence = axiom
rules = {
'X': '+YF-XFX-FY+',
'Y': '-XF+YFY+FX-',
}
i = 0
def setup():
global x0, y0
size(700, 700)
this.surface.setTitle("Hilbert-Kurve")
colorMode(HSB, 360, 100, 100)
x0, y0 = 50, height - 50
strokeWeight(2)
n... | 19.230769 | 44 | 0.511 |
744ca6ecf819e056c437ced8aa22940c42da3ad0 | 1,201 | py | Python | resources/mechanics_lib/Header.py | PRECISE/ROSLab | 2a6a295b71d4c73bc5c6ae2ec0330274afa31d0d | [
"Apache-2.0"
] | 7 | 2016-01-20T02:33:00.000Z | 2021-02-04T04:06:57.000Z | resources/mechanics_lib/Header.py | PRECISE/ROSLab | 2a6a295b71d4c73bc5c6ae2ec0330274afa31d0d | [
"Apache-2.0"
] | null | null | null | resources/mechanics_lib/Header.py | PRECISE/ROSLab | 2a6a295b71d4c73bc5c6ae2ec0330274afa31d0d | [
"Apache-2.0"
] | 3 | 2016-10-05T07:20:30.000Z | 2017-11-20T10:36:50.000Z | from api.component import Component
from api.edge import *
from math import sqrt
from api.shapes import Rectangle
class Header(Component):
def defParameters(self):
self.newParameter("nrows", 0)
self.newParameter("ncols", 0)
self.newParameter("rowsep", 2.54)
self.newParameter("colsep", 2.54)
... | 32.459459 | 80 | 0.609492 |
8eed5e66ede391b7e56082cd91efd3994089608f | 8,876 | py | Python | slcyMovement.py | mirrorcoloured/slcypi | c47975b3523f770d12a521c82e2dfca181e3f35b | [
"MIT"
] | null | null | null | slcyMovement.py | mirrorcoloured/slcypi | c47975b3523f770d12a521c82e2dfca181e3f35b | [
"MIT"
] | null | null | null | slcyMovement.py | mirrorcoloured/slcypi | c47975b3523f770d12a521c82e2dfca181e3f35b | [
"MIT"
] | null | null | null | # Python 3.5.1
import RPi.GPIO as GPIO
import time
import numpy as np
import slcypi.slcyPins as Pins
import slcypi.slcyGeneral as General
class Servo():
"""Initialize with control pin
pins <dict>, <list>, <int>, {'serv':1}
[name] <str>, identify this sensor
[verbose] <bool>, print every action"""
... | 36.377049 | 95 | 0.536503 |
d9912db79fc7ff77fe1a9dd18a7f2d59daee14c2 | 376 | py | Python | apps/home/admin.py | AlcindoSchleder/dashboard | aacb847bee05368bff72853a7d1887de211bccd2 | [
"MIT"
] | null | null | null | apps/home/admin.py | AlcindoSchleder/dashboard | aacb847bee05368bff72853a7d1887de211bccd2 | [
"MIT"
] | 4 | 2020-09-21T01:32:14.000Z | 2020-09-21T01:32:47.000Z | apps/home/admin.py | AlcindoSchleder/dashboard | aacb847bee05368bff72853a7d1887de211bccd2 | [
"MIT"
] | null | null | null | from django.contrib import admin
from .models import MarketProduct
class MarketProductAdmin(admin.ModelAdmin):
list_display = ('pk_product', 'product_description', 'product_stock')
list_filter = ('pk_product', 'product_description', 'product_stock')
search_fields = ('pk_product', 'product_description')
... | 28.923077 | 73 | 0.776596 |
79630b8839e196ad7f6a72e593d07acd38b792fc | 482 | py | Python | python/asyncio/coding_dojang/urlopen.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | python/asyncio/coding_dojang/urlopen.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | python/asyncio/coding_dojang/urlopen.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | from time import time
from urllib.request import Request, urlopen
urls = [
"https://www.google.com/search?q=" + i
for i in ["apple", "pear", "grape", "pineapple", "orange", "strawberry", "pie", "helloworld"]
]
begin = time()
result = []
for url in urls:
request = Request(url, headers={"User-Agent": "Mozil... | 24.1 | 97 | 0.636929 |
30d3f3ec135667a0f71a3ad788571ebec7babbe6 | 1,166 | py | Python | BigData_exp/exp3/exp3/my_wordcloud.py | DolorHunter/hfut-exp-archived | c67e26c1f4fba550c8974eaba10dfa302b928868 | [
"BSD-2-Clause"
] | 12 | 2020-12-07T05:49:05.000Z | 2022-03-25T09:09:36.000Z | BigData_exp/exp3/exp3/my_wordcloud.py | DolorHunter/hfut-exp | c67e26c1f4fba550c8974eaba10dfa302b928868 | [
"BSD-2-Clause"
] | null | null | null | BigData_exp/exp3/exp3/my_wordcloud.py | DolorHunter/hfut-exp | c67e26c1f4fba550c8974eaba10dfa302b928868 | [
"BSD-2-Clause"
] | 1 | 2021-01-08T08:53:53.000Z | 2021-01-08T08:53:53.000Z | from wordcloud import WordCloud as wordcloud
import matplotlib.pyplot as plt
import my_count
# Generate WordCloud
def gen_wordcloud():
my_count.count(my_count.schooltimes, my_count.schooltypestimes,
my_count.schooltimes_list, my_count.schooltypestimes_list)
school_dict = {}
other_count... | 26.5 | 97 | 0.673242 |
a519993592540320312d42566cf43f020f6213a5 | 504 | py | Python | pws/filter.py | zamys/pws | b26ddb12cbbb00ef3a337d8b5a8ef7dc051d4b13 | [
"MIT"
] | null | null | null | pws/filter.py | zamys/pws | b26ddb12cbbb00ef3a337d8b5a8ef7dc051d4b13 | [
"MIT"
] | null | null | null | pws/filter.py | zamys/pws | b26ddb12cbbb00ef3a337d8b5a8ef7dc051d4b13 | [
"MIT"
] | null | null | null | import pandas
import re
from tkinter import filedialog
path = filedialog.askopenfilename()
f = pandas.read_csv(path, encoding='unicode_escape')
f.head(5)
for i in range(len(f)):
txt = f.loc[i]["tekst"]
txt=re.sub(r'@[A-Z0-9a-z_:]+','',txt)#verwijdert gebruikersnaam tag
txt=re.sub(r'^[RT]+','',txt)#verwij... | 28 | 71 | 0.638889 |
eb4ead82bd1fa376e2323f4c55eac6d2ee487773 | 377 | py | Python | python/coursera_python/MICHIGAN/WEB/week6/t3.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 16 | 2018-11-26T08:39:42.000Z | 2019-05-08T10:09:52.000Z | python/coursera_python/MICHIGAN/WEB/week6/t3.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 8 | 2020-05-04T06:29:26.000Z | 2022-02-12T05:33:16.000Z | python/coursera_python/MICHIGAN/WEB/week6/t3.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 5 | 2020-02-11T16:02:21.000Z | 2021-02-05T07:48:30.000Z | import json
import urllib
location = raw_input("Enter locaiton: ")
url = "http://python-data.dr-chuck.net/geojson"
print "Retrieving", url
params = {"sensor": False, "address": location}
data = urllib.urlopen(url + "?" + urllib.urlencode(params)).read()
print "Retrieved", len(data), "characters"
results = json.loads(d... | 31.416667 | 66 | 0.708223 |
eb9dfb99dbbd9000c4988cad9df9887a9967be72 | 2,530 | py | Python | AutoFirst.py | PRJJOHN/Automation | cf78ec94300ed65429c1ec1035bef046282d18da | [
"BSD-3-Clause"
] | null | null | null | AutoFirst.py | PRJJOHN/Automation | cf78ec94300ed65429c1ec1035bef046282d18da | [
"BSD-3-Clause"
] | null | null | null | AutoFirst.py | PRJJOHN/Automation | cf78ec94300ed65429c1ec1035bef046282d18da | [
"BSD-3-Clause"
] | null | null | null | from pywinauto.application import Application
## 1: upper back
## 3: middle back 1
## 7: middle back 2
## 11: middle back double
## 24: lower back
## 6,14: back side
tarPressure = [0.0,10.0,0.0,10.0,0.0,10.0,
0.0,10.0,0.0,0.0,0.0,10.0,
0.0,10.0,0.0,0.0,0.0,0.0,
0.0,0.0,0.0,0... | 52.708333 | 135 | 0.590119 |
6907c6c75910b95a895d4f34f1a51707792cccc0 | 390 | py | Python | INBa/2015/KODZOKOV_M_M/task_6_9.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | INBa/2015/KODZOKOV_M_M/task_6_9.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | INBa/2015/KODZOKOV_M_M/task_6_9.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | #Создайте игру, в которой компьютер загадывает имя одного из трех поросят, а игрок должен его угадать.
# Кодзоков М.М., 26.05.2016
import random
pigs=("Ниф-ниф","Наф-Наф","Нуф-нуф")
choice=random.choice(pigs)
pg=input("Угадайте одного из трех поросят: ")
while pg != choice:
pg=input("Не угадали. Попробуйте еще: ")
pr... | 30 | 102 | 0.735897 |
79e8c210053f778dcc4f24520e3e793e43e1cbd2 | 710 | py | Python | jiuzhang/Nine Chapters/3 Binary Tree & Divide Conquer/py/BinaryTreePreorderTraversal.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 1 | 2015-12-16T04:01:03.000Z | 2015-12-16T04:01:03.000Z | jiuzhang/Nine Chapters/3 Binary Tree & Divide Conquer/py/BinaryTreePreorderTraversal.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 1 | 2016-02-09T06:00:07.000Z | 2016-02-09T07:20:13.000Z | jiuzhang/Nine Chapters/3 Binary Tree & Divide Conquer/py/BinaryTreePreorderTraversal.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 2 | 2019-06-27T09:07:26.000Z | 2019-07-01T04:40:13.000Z | """
Definition of TreeNode:
class TreeNode:
def __init__(self, val):
self.val = val
self.left, self.right = None, None
"""
class Solution:
"""
@param root: The root of binary tree.
@return: Preorder in ArrayList which contains node values.
"""
def preorderTraversal(self, root)... | 23.666667 | 62 | 0.543662 |
300003e742a3015dafc90e4c08cf8807c9805c10 | 3,885 | py | Python | Utils/py/exportImages/ExportImages.py | tarsoly/NaoTH | dcd2b67ef6bf9953c81d3e1b26e543b5922b7d52 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | Utils/py/exportImages/ExportImages.py | tarsoly/NaoTH | dcd2b67ef6bf9953c81d3e1b26e543b5922b7d52 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | Utils/py/exportImages/ExportImages.py | tarsoly/NaoTH | dcd2b67ef6bf9953c81d3e1b26e543b5922b7d52 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
import os
import sys
import getopt
import math
from naoth.LogReader import LogReader
from naoth.LogReader import Parser
import numpy
from PIL import Image
from PIL import PngImagePlugin
def parse_arguments(argv):
input_file = ''
output_dir = None
try:
opts, args = getopt.... | 27.553191 | 105 | 0.574517 |
302a6c0bb7124f5b765eb66fa261ee4a3e3af450 | 8,758 | py | Python | checklisten/views.py | mribrgr/StuRa-Mitgliederdatenbank | 87a261d66c279ff86056e315b05e6966b79df9fa | [
"MIT"
] | 8 | 2019-11-26T13:34:46.000Z | 2021-06-21T13:41:57.000Z | checklisten/views.py | mribrgr/StuRa-Mitgliederdatenbank | 87a261d66c279ff86056e315b05e6966b79df9fa | [
"MIT"
] | 93 | 2019-12-16T09:29:10.000Z | 2021-04-24T12:03:33.000Z | checklisten/views.py | mribrgr/StuRa-Mitgliederdatenbank | 87a261d66c279ff86056e315b05e6966b79df9fa | [
"MIT"
] | 2 | 2020-12-03T12:43:19.000Z | 2020-12-22T21:48:47.000Z | from django.shortcuts import render, redirect
from django.contrib import messages
from django.http import HttpResponse
from .models import Checkliste, ChecklisteAufgabe, ChecklisteRecht, Aufgabe
from aemter.models import FunktionRecht
from mitglieder.models import Mitglied, MitgliedAmt
def main_screen(request):
"... | 47.597826 | 199 | 0.725965 |
30346b0a23f5afdc88a23ac95c20e75a5e803926 | 3,780 | py | Python | v_generalize.py | sambabypapapa/CralwerSet | a76e0660c42ce7aac20b8d07ccc454b6636a8a2a | [
"Apache-2.0"
] | 5 | 2020-08-17T08:37:16.000Z | 2021-06-07T05:02:05.000Z | v_generalize.py | sambabypapapa/CralwerSet | a76e0660c42ce7aac20b8d07ccc454b6636a8a2a | [
"Apache-2.0"
] | null | null | null | v_generalize.py | sambabypapapa/CralwerSet | a76e0660c42ce7aac20b8d07ccc454b6636a8a2a | [
"Apache-2.0"
] | 1 | 2021-06-07T05:02:10.000Z | 2021-06-07T05:02:10.000Z | import CralwerSet.connect_mysql as connect_mysql
import json
import requests
import datetime
import time
import random
import easygui as g
headers = {
"Connection": "keep-alive",
"User-Agent":"Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/74.0.3724.8 Safari/537.36",
"Re... | 52.5 | 1,465 | 0.70291 |
0624ebb07ac60215515302c912bd18593e43c9a8 | 854 | py | Python | packages/watchmen-pipeline-surface/src/watchmen_pipeline_surface/connectors/handler.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | packages/watchmen-pipeline-surface/src/watchmen_pipeline_surface/connectors/handler.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | packages/watchmen-pipeline-surface/src/watchmen_pipeline_surface/connectors/handler.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | from watchmen_meta.common import ask_snowflake_generator
from watchmen_model.admin import UserRole
from watchmen_model.pipeline_kernel import PipelineTriggerDataWithPAT, PipelineTriggerTraceId
from watchmen_pipeline_kernel.pipeline import try_to_invoke_pipelines
from watchmen_rest import get_principal_by_pat, retrieve_... | 44.947368 | 93 | 0.855972 |
88f331b472aef8c85f644e3b4aa69664bb05364a | 11,428 | py | Python | Co-Simulation/Sumo/sumo-1.7.0/tools/traci/domain.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/domain.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/domain.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.... | 39.818815 | 113 | 0.656108 |
aea04e7414afbc1ecb5d0c27578b7652b0bc3dca | 5,100 | py | Python | backend/blog-app-backend/blog_app_create_index.py | hdwinkel/winkels-blog-app | 7f8cce5c5ae51a6618116d2ee4da474c790ecb2e | [
"MIT"
] | null | null | null | backend/blog-app-backend/blog_app_create_index.py | hdwinkel/winkels-blog-app | 7f8cce5c5ae51a6618116d2ee4da474c790ecb2e | [
"MIT"
] | 13 | 2020-04-12T18:56:27.000Z | 2022-02-26T10:50:49.000Z | backend/blog-app-backend/blog_app_create_index.py | hdwinkel/winkels-blog-app | 7f8cce5c5ae51a6618116d2ee4da474c790ecb2e | [
"MIT"
] | null | null | null | import os, io
import base64
import json
from datetime import datetime
import uuid
templatename="template.html"
# a Blog structure:
# blogs = ["<blog>","<blog>"]
# tags = []
# images = []
# blog = {"Name": "<blogname>", "Creator": "<blog-creator>", "Date": "<creation-date>", "Update": "<update-date>", "Content": "<blo... | 30.538922 | 175 | 0.499804 |
d1a8f24a98b1e977d6e08fdc0aa75c10a6d24e6a | 2,640 | py | Python | m.py | ba7lnn/bravo | 0856690ab6f7c292335fbd2c867293d5086b8bd6 | [
"CC-BY-3.0"
] | null | null | null | m.py | ba7lnn/bravo | 0856690ab6f7c292335fbd2c867293d5086b8bd6 | [
"CC-BY-3.0"
] | null | null | null | m.py | ba7lnn/bravo | 0856690ab6f7c292335fbd2c867293d5086b8bd6 | [
"CC-BY-3.0"
] | null | null | null | #!/usr/bin/env python
'''
m.py
Copyright 2017 BA7LNN
Contact: BA7LNN@FOXMAIL.COM
This script creates tags for your Jekyll blog hosted by Github page.
No plugins required.
'''
'''
import glob
import os
post_dir = '_posts/'
tag_dir = 'series/'
filenames = glob.glob(post_dir + '*markdown')
total_tags = []
for filen... | 22.184874 | 112 | 0.642045 |
ae3b4397e0250242c456503f90c375b3d23bc216 | 23,933 | py | Python | Archiv/1Main.py | inventivejon/ExSyNL | daf5b5923ed0e65107ce2904933afeba8bfa99ea | [
"Apache-2.0"
] | null | null | null | Archiv/1Main.py | inventivejon/ExSyNL | daf5b5923ed0e65107ce2904933afeba8bfa99ea | [
"Apache-2.0"
] | 5 | 2021-05-11T02:08:51.000Z | 2022-02-26T23:08:18.000Z | Archiv/1Main.py | inventivejon/ExSyL | daf5b5923ed0e65107ce2904933afeba8bfa99ea | [
"Apache-2.0"
] | null | null | null | # Prädikate
# Mann
# Frau
# Ehepaar
# Formel
# Mann(X)
# Frau(Y)
# Ehepaar(X, Y)
continueAsking = True
predicates = {}
predicate_equals = {}
functions = []
def AddEqualsPredicate(eqPrName, predicate):
global predicates
global predicate_equals
if predicate in predicates:
for singleEqPrName in eqPr... | 47.675299 | 183 | 0.581415 |
ee15fd984389e0517859066f61162bd44c3efd45 | 6,085 | py | Python | src/graph_creator/graph_funcs.py | marina8888/flame-dilution-method | 823c004f7f7ea85ca3e010610b61972a112cf988 | [
"MIT"
] | 2 | 2020-03-23T15:05:19.000Z | 2020-03-24T02:43:07.000Z | src/graph_creator/graph_funcs.py | marina8888/flame-dilution-method | 823c004f7f7ea85ca3e010610b61972a112cf988 | [
"MIT"
] | 1 | 2020-05-07T13:06:09.000Z | 2020-05-07T13:06:09.000Z | src/graph_creator/graph_funcs.py | marina8888/flame-dilution-method | 823c004f7f7ea85ca3e010610b61972a112cf988 | [
"MIT"
] | 2 | 2020-05-07T13:05:09.000Z | 2020-05-15T16:42:02.000Z | import pandas as pd
import matplotlib.pyplot as plt
from excel_file.classes import Workbook
import numpy as np
# all functions in this file are a custom set of methods/options to use when creating a new graph plot
plt.style.use('seaborn-notebook')
# the dictionary can be used to access the graph's data (x, y etc. va... | 48.68 | 148 | 0.678389 |
c99a06f827d66c427603d156f6ce0e784d2c6c0b | 5,752 | py | Python | python/main.py | postcode-x/spotify-study | c8ae557f7f635818f414f259471d9ba154ef2610 | [
"Unlicense"
] | null | null | null | python/main.py | postcode-x/spotify-study | c8ae557f7f635818f414f259471d9ba154ef2610 | [
"Unlicense"
] | null | null | null | python/main.py | postcode-x/spotify-study | c8ae557f7f635818f414f259471d9ba154ef2610 | [
"Unlicense"
] | null | null | null | import spotipy
from spotipy.oauth2 import SpotifyClientCredentials
import copy
import json
# Billboard's Top 100 for each year between 1960 and 2020
all_playlists = [
'https://open.spotify.com/playlist/0nfHJsAnubkIUXrazaqHL9',
'https://open.spotify.com/playlist/2exnqHJRp35x21SkJnl9gT',
'https://open.spo... | 49.586207 | 109 | 0.717316 |
11dcb96619ce4f51512be08a0271536a27b98b92 | 692 | py | Python | python/pyqt/threading_basics_tutorial/reddit_part.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | python/pyqt/threading_basics_tutorial/reddit_part.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | python/pyqt/threading_basics_tutorial/reddit_part.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | import requests
import json
import time
def get_top_post(subreddit):
url = f'https://www.reddit.com/r/{subreddit}.json?limit=1'
headers = {'User-agent': 'imdff0803@gmail.com try tutorial'}
response = requests.get(url, headers=headers)
data = json.loads(response.text)
top_post = data['data']['child... | 28.833333 | 76 | 0.679191 |
e10011ca45c1df2ea9ad355b518853ce738927b5 | 4,362 | py | Python | src/python/BI/ReadCsv.py | coulsonzero/webProject | 46ba2456620496f376ed954a6469381b8142e0f6 | [
"MIT"
] | null | null | null | src/python/BI/ReadCsv.py | coulsonzero/webProject | 46ba2456620496f376ed954a6469381b8142e0f6 | [
"MIT"
] | null | null | null | src/python/BI/ReadCsv.py | coulsonzero/webProject | 46ba2456620496f376ed954a6469381b8142e0f6 | [
"MIT"
] | null | null | null | import pandas as pd
# df = pd.read_csv("src/python/BI/Csv/titanic.csv")
# df = pd.read_csv("https://sololearn.com/uploads/files/titanic.csv")
# print(df.head())
"""
Survived Pclass Sex Age Siblings/Spouses Parents/Children Fare
0 0 3 male 22.0 1 ... | 37.603448 | 97 | 0.455983 |
fecfc92d5b44c05e940178b53737cca65c42a295 | 2,437 | py | Python | FeatureEngineering/trainer.py | alex-ta/Fontinator | 7ca9effe3b61ded032176557520127e1d4b7a5ef | [
"Apache-2.0"
] | 6 | 2017-04-12T14:05:19.000Z | 2021-01-29T11:23:50.000Z | FeatureEngineering/trainer.py | alex-ta/Fontinator | 7ca9effe3b61ded032176557520127e1d4b7a5ef | [
"Apache-2.0"
] | null | null | null | FeatureEngineering/trainer.py | alex-ta/Fontinator | 7ca9effe3b61ded032176557520127e1d4b7a5ef | [
"Apache-2.0"
] | null | null | null | import os
from PIL import Image, ImageFont, ImageDraw
import numpy as np
import cv2
import pickle
import extractFeatures
import classifier
# Static Config
FONT_SIZE = 24
PADDING_TOP_BOTTOM = 8
TRAIN_CHARS = 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789ÄÖÜäöü!"()[]?ß.,+-'
# Get list of all fonts for... | 31.24359 | 96 | 0.723841 |
3a1b70c2d263940e517ba07fdda825bee0ff790b | 119 | py | Python | Python/zzz_training_challenge/UdemyPythonPro/Chapter9_Packages/2_Packaging/fastvector/__init__.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | Python/zzz_training_challenge/UdemyPythonPro/Chapter9_Packages/2_Packaging/fastvector/__init__.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | Python/zzz_training_challenge/UdemyPythonPro/Chapter9_Packages/2_Packaging/fastvector/__init__.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | from .vector import Vector2D
# __all__ = List was bei * importiert wird, Name als String
__all__ = [
'Vector2D'
]
| 17 | 59 | 0.697479 |
28aeeb2b7b08df49400d68d7b646c9b32e21a85c | 348 | py | Python | 7-assets/past-student-repos/data_struct_and_algo-master/n_rotations_index.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | null | null | null | 7-assets/past-student-repos/data_struct_and_algo-master/n_rotations_index.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | null | null | null | 7-assets/past-student-repos/data_struct_and_algo-master/n_rotations_index.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | null | null | null | # Input : arr[] : {1, 2, 3, 4, 5}
# ranges[] = { {0, 2}, {0, 3} }
# index : 1
# Output : 3
# Explanation : After first given rotation {0, 2}
# arr[] = {3, 1, 2, 4, 5}
# After second rotation {0, 3}
# arr[] = {4, 3, 1, 2, 5}
# After all rotations we have ele... | 31.636364 | 49 | 0.439655 |
c956314c945c4544c80bf6e4ffc938426d1c1b1d | 815 | py | Python | sakf/sakf.py | spdir/sakf | 9a07c5f90765201a42d524dc6d4554f4ccd3c750 | [
"Apache-2.0"
] | null | null | null | sakf/sakf.py | spdir/sakf | 9a07c5f90765201a42d524dc6d4554f4ccd3c750 | [
"Apache-2.0"
] | null | null | null | sakf/sakf.py | spdir/sakf | 9a07c5f90765201a42d524dc6d4554f4ccd3c750 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
import logging
import tornado.ioloop
from tornado.httpserver import HTTPServer
from tornado.options import options, parse_command_line
from sakf.conf import serverConfig
ioloop = tornado.ioloop.IOLoop.current()
def main():
parse_command_line()
app_obj = serverConfig.ServerApp()
app = ap... | 25.46875 | 83 | 0.703067 |
6ee6fea8e8093b04619994bc5ce62852a16fb48e | 1,082 | py | Python | py_projects/gui_calender/calender.py | Anwesha-dash811/hacktober-1 | 188c859864f06f94a94cb91e63979366db62b9ac | [
"MIT"
] | 1 | 2020-10-04T12:36:45.000Z | 2020-10-04T12:36:45.000Z | py_projects/gui_calender/calender.py | Anwesha-dash811/hacktober-1 | 188c859864f06f94a94cb91e63979366db62b9ac | [
"MIT"
] | 1 | 2021-09-30T16:20:57.000Z | 2021-09-30T16:20:57.000Z | py_projects/gui_calender/calender.py | Anwesha-dash811/hacktober-1 | 188c859864f06f94a94cb91e63979366db62b9ac | [
"MIT"
] | 3 | 2020-10-04T10:07:10.000Z | 2020-10-25T15:21:15.000Z | import tkinter as tk
import calendar
def showCal():
root =tk.Tk()
root.config(background = "white")
root.title("CALENDER")
root.geometry("550x600")
fetch_year = int(year_field.get())
cal_content = calendar.calendar(fetch_year)
cal_year =tk. Label(root, text = cal_content,... | 33.8125 | 105 | 0.582255 |
6c32fa5b881552b5ac937030bad7e96bd8f14cc6 | 842 | py | Python | docs/content/code/sort.py | PaulCCCCCCH/m5-101 | 81201b00cd81c1747ea0cd5f042a09eda02d6d1c | [
"MIT"
] | 4 | 2021-03-25T13:15:38.000Z | 2021-11-10T12:29:19.000Z | docs/content/code/sort.py | PaulCCCCCCH/m5-101 | 81201b00cd81c1747ea0cd5f042a09eda02d6d1c | [
"MIT"
] | null | null | null | docs/content/code/sort.py | PaulCCCCCCH/m5-101 | 81201b00cd81c1747ea0cd5f042a09eda02d6d1c | [
"MIT"
] | 4 | 2021-03-25T13:18:10.000Z | 2021-04-08T13:44:48.000Z | import time
import random
def sort_numbers(numbers):
result = [] # 这里记录排列好的序列
while numbers: # 一直循环，直到 numbers 为空
curr_max = -float('inf') # 记录当前最大的数，因为还没开始，所以是负无穷大
curr_max_idx = 0 # 记录当前最大的数在第几个
for idx in range(len(numbers)):
if numbers[idx] > curr_ma... | 26.3125 | 61 | 0.60095 |
b0a86cab354e91b6d2ccff5467e454989e4f9fd9 | 729 | py | Python | finbyz_dashboard/finbyz_dashboard/custom_number_card/qty_to_deliver.py | finbyz/finbyz_dashboard | 9c58ab7bccf589bc010d0e5bf95b20cadd4d71f0 | [
"MIT"
] | 1 | 2021-11-19T05:27:11.000Z | 2021-11-19T05:27:11.000Z | finbyz_dashboard/finbyz_dashboard/custom_number_card/qty_to_deliver.py | finbyz/finbyz_dashboard | 9c58ab7bccf589bc010d0e5bf95b20cadd4d71f0 | [
"MIT"
] | null | null | null | finbyz_dashboard/finbyz_dashboard/custom_number_card/qty_to_deliver.py | finbyz/finbyz_dashboard | 9c58ab7bccf589bc010d0e5bf95b20cadd4d71f0 | [
"MIT"
] | 2 | 2021-08-21T10:41:38.000Z | 2021-11-19T05:27:13.000Z | from __future__ import unicode_literals
import frappe, json
from frappe import _
@frappe.whitelist()
def number_card_custom(filters=None):
filters = frappe.parse_json(filters)
where_condition = ''
if filters.get('company'):
where_condition += " and so.company = '{}'".format(filters.get('company'))
sales_query =... | 28.038462 | 76 | 0.718793 |
9fdea4373845c48deb9ecaf64645913a31cce7ce | 2,214 | py | Python | tests/fixtures/trees.py | KeepSafe/html-structure-diff | 83ea2b8ad4b78b140bb5f69e3f2966c9fda01a89 | [
"Apache-2.0"
] | 3 | 2016-05-10T13:57:14.000Z | 2016-09-29T21:01:53.000Z | tests/fixtures/trees.py | KeepSafe/html-structure-diff | 83ea2b8ad4b78b140bb5f69e3f2966c9fda01a89 | [
"Apache-2.0"
] | 3 | 2015-10-20T22:29:37.000Z | 2022-01-18T18:20:06.000Z | tests/fixtures/trees.py | KeepSafe/html-structure-diff | 83ea2b8ad4b78b140bb5f69e3f2966c9fda01a89 | [
"Apache-2.0"
] | 1 | 2016-11-05T04:23:05.000Z | 2016-11-05T04:23:05.000Z | from sdiff.model import *
def empty_tree():
return Root()
def pt():
return Root([
Paragraph([
Text('dummy text')
])
])
def r2t():
return Root([
Header(2, [
Text('dummy text')
])
])
def r4t():
return Root([
Header(4, [
... | 16.160584 | 39 | 0.351852 |
c6afeb907569548ff6afaf94f77b2b0d632b6725 | 2,779 | py | Python | research/cv/advanced_east/prepare_data.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | research/cv/advanced_east/prepare_data.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | research/cv/advanced_east/prepare_data.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... | 40.867647 | 111 | 0.734077 |
bbb850619e85a5cbeead9dcdad890a8b0bec3fd8 | 2,322 | py | Python | user/views.py | StevenMedina/MovieAPI | 805e79d396e197383bce6095febf0252231a1018 | [
"MIT"
] | null | null | null | user/views.py | StevenMedina/MovieAPI | 805e79d396e197383bce6095febf0252231a1018 | [
"MIT"
] | null | null | null | user/views.py | StevenMedina/MovieAPI | 805e79d396e197383bce6095febf0252231a1018 | [
"MIT"
] | null | null | null | from django.contrib.auth import login, authenticate
from django.contrib.auth.views import LoginView
from django.shortcuts import redirect
from django.urls import reverse
from django.views.generic import FormView
from django.views.generic import TemplateView
from .forms import UserAuthenticationForm
from .forms import ... | 29.392405 | 69 | 0.655469 |
aba582d26439c4ddd0a2939bb1c8edd2ca0feeed | 581 | py | Python | Chapter12_Multiprocessing/multi_thread.py | kernbeisser/UdemyPythonPro | 000d5e66031bcc22b2d8f115edfbd5ef0e80d5b9 | [
"MIT"
] | null | null | null | Chapter12_Multiprocessing/multi_thread.py | kernbeisser/UdemyPythonPro | 000d5e66031bcc22b2d8f115edfbd5ef0e80d5b9 | [
"MIT"
] | null | null | null | Chapter12_Multiprocessing/multi_thread.py | kernbeisser/UdemyPythonPro | 000d5e66031bcc22b2d8f115edfbd5ef0e80d5b9 | [
"MIT"
] | null | null | null | import math
import time
from threading import Thread
NUM_THREADS = 4
def calc(num_elements):
res = 0
for i in range(num_elements):
res += math.sqrt(i)
print(res)
def main():
threads = []
for _ in range(NUM_THREADS):
threads.append(Thread(target=calc, args=[8_000_000]))
sta... | 16.6 | 61 | 0.626506 |
f976f4f4077b91d93d99070fadaf29f27a5cae3a | 1,550 | py | Python | listings/chapter06/hvv.py | SaschaKersken/Daten-Prozessanalyse | 370f07a75b9465329deb3671adbfbef8483f76f6 | [
"Apache-2.0"
] | 2 | 2021-09-20T06:16:41.000Z | 2022-01-17T14:24:43.000Z | listings/chapter06/hvv.py | SaschaKersken/Daten-Prozessanalyse | 370f07a75b9465329deb3671adbfbef8483f76f6 | [
"Apache-2.0"
] | null | null | null | listings/chapter06/hvv.py | SaschaKersken/Daten-Prozessanalyse | 370f07a75b9465329deb3671adbfbef8483f76f6 | [
"Apache-2.0"
] | null | null | null | import numpy as np
from sklearn.feature_extraction.text import HashingVectorizer
texts = ["Künstliche Intelligenz ist eine Sammelbezeichnung für Algorithmen, die Probleme lösen, für die Menschen Intelligenz benötigen. Ob man die Programme selbst als intelligent ansehen kann, ist umstritten. Typische Lösungen gehören z... | 119.230769 | 385 | 0.829032 |
ddaa7e48deb8d30b560122e312f03c0bf76631bb | 215 | py | Python | python_gui_tkinter/Tkinter/TkinterCourse/25_canvas_oval.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 16 | 2018-11-26T08:39:42.000Z | 2019-05-08T10:09:52.000Z | python_gui_tkinter/Tkinter/TkinterCourse/25_canvas_oval.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 8 | 2020-05-04T06:29:26.000Z | 2022-02-12T05:33:16.000Z | python_gui_tkinter/Tkinter/TkinterCourse/25_canvas_oval.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 5 | 2020-02-11T16:02:21.000Z | 2021-02-05T07:48:30.000Z | from tkinter import *
canvas_width = 200
canvas_height =200
master = Tk()
w = Canvas(master,
width=canvas_width,
height=canvas_height)
w.pack()
w.create_oval(50,50,200,100)
mainloop()
| 11.944444 | 32 | 0.651163 |
fb35828aeb453d308662e3f2c05fe9f0da3b13d0 | 254 | py | Python | Python/M01_ProgrammingBasics/L04_ForLoop/Lab/Solutions/P09LeftAndRightSum.py | todorkrastev/softuni-software-engineering | cfc0b5eaeb82951ff4d4668332ec3a31c59a5f84 | [
"MIT"
] | null | null | null | Python/M01_ProgrammingBasics/L04_ForLoop/Lab/Solutions/P09LeftAndRightSum.py | todorkrastev/softuni-software-engineering | cfc0b5eaeb82951ff4d4668332ec3a31c59a5f84 | [
"MIT"
] | null | null | null | Python/M01_ProgrammingBasics/L04_ForLoop/Lab/Solutions/P09LeftAndRightSum.py | todorkrastev/softuni-software-engineering | cfc0b5eaeb82951ff4d4668332ec3a31c59a5f84 | [
"MIT"
] | 1 | 2022-02-23T13:03:14.000Z | 2022-02-23T13:03:14.000Z | num = int(input())
left = 0
right = 0
for each in range(num):
left += int(input())
for each in range(num):
right += int(input())
diff = abs(left - right)
if left == right:
print(f"Yes, sum = {right}")
else:
print(f"No, diff = {diff}") | 15.875 | 32 | 0.570866 |
9b2f4b9b459f96bdd81c1fa92a72bba6bb717a0a | 375 | py | Python | server/apps/user_operation/migrations/0005_auto_20190423_1434.py | Mayandev/django_morec | 8d115f76ad69d7aa78b07dc06aa7047979ad134b | [
"MIT"
] | 129 | 2019-04-20T08:23:25.000Z | 2022-03-14T10:02:23.000Z | server/apps/user_operation/migrations/0005_auto_20190423_1434.py | heartplus/django_morec | 8d115f76ad69d7aa78b07dc06aa7047979ad134b | [
"MIT"
] | 9 | 2019-05-19T15:06:17.000Z | 2021-12-14T06:47:14.000Z | server/apps/user_operation/migrations/0005_auto_20190423_1434.py | heartplus/django_morec | 8d115f76ad69d7aa78b07dc06aa7047979ad134b | [
"MIT"
] | 34 | 2019-05-06T06:37:17.000Z | 2021-12-09T02:27:58.000Z | # Generated by Django 2.1.4 on 2019-04-23 14:34
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('user_operation', '0004_auto_20190422_2006'),
]
operations = [
migrations.RenameField(
model_name='userfavoractor',
old_name=... | 19.736842 | 54 | 0.597333 |
fd1e7ee03e6d74ca770ddb06b82a81d43829e163 | 424 | py | Python | RetrieveImagesFromDimuMediaServers.py | vlpolyansky/spotArt | b1a6df25b62cd61d9056d710f4a2cb9185f45f3c | [
"MIT"
] | null | null | null | RetrieveImagesFromDimuMediaServers.py | vlpolyansky/spotArt | b1a6df25b62cd61d9056d710f4a2cb9185f45f3c | [
"MIT"
] | null | null | null | RetrieveImagesFromDimuMediaServers.py | vlpolyansky/spotArt | b1a6df25b62cd61d9056d710f4a2cb9185f45f3c | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Sun Apr 15 08:25:50 2018
"""
# import libraries
import urllib
import pandas as pd
# Read in csv file with unique image identifiers (exported from Knime workflow)
df = pd.read_csv('Filename')
#loop through the data to download all images from the dimu media servers
for i in df.i... | 28.266667 | 91 | 0.695755 |
b5d2b7f50059b1f5b31569f37e092c93d73886ec | 2,040 | py | Python | oldp/apps/courts/views.py | ImgBotApp/oldp | 575dc6f711dde3470d910e21c9440ee9b79a69ed | [
"MIT"
] | 3 | 2020-06-27T08:19:35.000Z | 2020-12-27T17:46:02.000Z | oldp/apps/courts/views.py | ImgBotApp/oldp | 575dc6f711dde3470d910e21c9440ee9b79a69ed | [
"MIT"
] | null | null | null | oldp/apps/courts/views.py | ImgBotApp/oldp | 575dc6f711dde3470d910e21c9440ee9b79a69ed | [
"MIT"
] | null | null | null | from django.conf import settings
from django.shortcuts import get_object_or_404
from django.utils.translation import ugettext_lazy as _
from django.views.generic import ListView
from oldp.apps.cases.models import Case
from oldp.apps.courts.models import *
class CourtCasesListView(ListView):
template_name = 'cour... | 29.142857 | 98 | 0.640196 |
1f0e2ccf3fefd369e5d63247f5a8aa3fbea4d5a6 | 955 | py | Python | 10.3389/fimmu.2018.00251/bin/make_cdr3_capturerecapture_data.py | jqsunac/doi | c5912a40c7bfda8270e5d51fbdd82a9f0650bd23 | [
"MIT"
] | null | null | null | 10.3389/fimmu.2018.00251/bin/make_cdr3_capturerecapture_data.py | jqsunac/doi | c5912a40c7bfda8270e5d51fbdd82a9f0650bd23 | [
"MIT"
] | null | null | null | 10.3389/fimmu.2018.00251/bin/make_cdr3_capturerecapture_data.py | jqsunac/doi | c5912a40c7bfda8270e5d51fbdd82a9f0650bd23 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import os
import sys
import argparse
import re
def create_dataset(i, o):
mptn = re.compile(r'>(.+)\.\.\.')
cluster_id = None
outfh = open(o, 'w')
with open(i, 'r') as infh:
for buf in infh:
if buf[0:1] == '>':
cluster_id = buf[1:]
... | 25.131579 | 92 | 0.536126 |
1f5674fa0f9e300989df888de0b6815479a305a6 | 2,736 | py | Python | docker-shadowsocks/adm.py | swoiow/dsc | 5860e6bfaa70b700e025533c406a6bc52d4ab74b | [
"MIT"
] | null | null | null | docker-shadowsocks/adm.py | swoiow/dsc | 5860e6bfaa70b700e025533c406a6bc52d4ab74b | [
"MIT"
] | null | null | null | docker-shadowsocks/adm.py | swoiow/dsc | 5860e6bfaa70b700e025533c406a6bc52d4ab74b | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
import random
import string
DOCKER_IMAGINE_NAME = "ss/build:db9"
SERVE_IP = ""
def generate_pwd(length=12):
_seed_ = string.digits + string.ascii_letters
seed = []
times = random.choice(string.digits[1:])
for _ in times:
lt = list(_see... | 23.791304 | 116 | 0.586257 |
c0e2be378707ce2d4586640723e58f8358925ec6 | 3,067 | py | Python | app/websocket.py | openbikebox/websocket-client | 50b61a70ffcff1acdc13ba69c017e671bd3f983f | [
"MIT"
] | null | null | null | app/websocket.py | openbikebox/websocket-client | 50b61a70ffcff1acdc13ba69c017e671bd3f983f | [
"MIT"
] | null | null | null | app/websocket.py | openbikebox/websocket-client | 50b61a70ffcff1acdc13ba69c017e671bd3f983f | [
"MIT"
] | null | null | null | # encoding: utf-8
"""
openbikebox websocket-client
Copyright (c) 2021, binary butterfly GmbH
Use of this source code is governed by an MIT-style license that can be found in the LICENSE file.
"""
import json
import logging
import asyncio
import websockets
from base64 import b64encode
from .config import Config as con... | 32.284211 | 102 | 0.609064 |
8d042386de3e2f226fa9f28bb0fac2b26a40351b | 1,671 | py | Python | skripte_datensammlung/emoji_statistics.py | TimSchmittmann/ML2-Project | 7ad01366f2322018065efcae542ae75786b3c0ec | [
"MIT"
] | null | null | null | skripte_datensammlung/emoji_statistics.py | TimSchmittmann/ML2-Project | 7ad01366f2322018065efcae542ae75786b3c0ec | [
"MIT"
] | null | null | null | skripte_datensammlung/emoji_statistics.py | TimSchmittmann/ML2-Project | 7ad01366f2322018065efcae542ae75786b3c0ec | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
'''
@author: Tim Schmittmann
'''
import emoji
import regex
import csv
import emoji_helper
def sort_emoji_count_by_value(emoji_cnt):
sorted_by_value = sorted(emoji_cnt.items(), key=lambda kv: kv[1])
sorted_by_value.reverse()
return sorted_by_value
def display_emoji_count(emoji_cnt)... | 31.528302 | 85 | 0.613405 |
23bc490f388d4143d50b6ffd55bdc958c7d536c4 | 2,700 | py | Python | tools/pythonpkg/duckdb_query_graph/__init__.py | AldoMyrtaj/duckdb | 3aa4978a2ceab8df25e4b20c388bcd7629de73ed | [
"MIT"
] | 2,816 | 2018-06-26T18:52:52.000Z | 2021-04-06T10:39:15.000Z | tools/pythonpkg/duckdb_query_graph/__init__.py | AldoMyrtaj/duckdb | 3aa4978a2ceab8df25e4b20c388bcd7629de73ed | [
"MIT"
] | 1,310 | 2021-04-06T16:04:52.000Z | 2022-03-31T13:52:53.000Z | tools/pythonpkg/duckdb_query_graph/__init__.py | AldoMyrtaj/duckdb | 3aa4978a2ceab8df25e4b20c388bcd7629de73ed | [
"MIT"
] | 270 | 2021-04-09T06:18:28.000Z | 2022-03-31T11:55:37.000Z | import json
import os
qgraph_css = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'query_graph.css')
raphael_path = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'raphael.js')
treant_path = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'treant.js')
profile_output_path = os.path.join(os.... | 30 | 161 | 0.677407 |
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