blob_id stringlengths 40 40 | language stringclasses 1
value | repo_name stringlengths 5 133 | path stringlengths 2 333 | src_encoding stringclasses 30
values | length_bytes int64 18 5.47M | score float64 2.52 5.81 | int_score int64 3 5 | detected_licenses listlengths 0 67 | license_type stringclasses 2
values | text stringlengths 12 5.47M | download_success bool 1
class |
|---|---|---|---|---|---|---|---|---|---|---|---|
b6bfb28cfd4ceb8da66d3a170374ca817838b6a3 | Python | hygnic/boomboost | /hyosmnx/main.py | UTF-8 | 1,768 | 2.859375 | 3 | [] | no_license | #!/usr/bin/env python
# -*- coding:utf-8 -*-
# ---------------------------------------------------------------------------
# Author: LiaoChenchen
# Created on: 2021/3/19 13:53
# Reference: https://towardsdatascience.com/making-artistic-maps-with-python-9d37f5ea8af0
"""
Description:
Usage:
"""
# ------------------------... | true |
6e07b6182a4444fa01cfc2a431b19c4f902fd836 | Python | JeK2a/UchetTrat | /cursValut.py | UTF-8 | 803 | 2.75 | 3 | [] | no_license | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import urllib.request
from xml.etree import ElementTree as ET
# Получение курса доллара
def getCursUSD():
valuta = ET.parse(urllib.request.urlopen("http://www.cbr.ru/scripts/XML_daily.asp?date_req"))
for line in valuta.findall('Valute'):
id_v = line.get(... | true |
018fdcc0beacdb0b6b76f27678cd0856116bf639 | Python | Gavin666Github/yolo3-keras | /tool/brainwash_annotation.py | UTF-8 | 1,098 | 2.5625 | 3 | [] | no_license | def convert_to_yolo(f_r, f_w):
for line in f_r:
line = line.replace('"', '')
line = line.replace(':', '')
line = line.replace('(', '')
line = line.replace('),', '')
line = line.replace(');', '')
line = line.replace(').', '')
line = line.replace('\n', '')
... | true |
3951a4db1358907389df58c063e71364b02a1d95 | Python | rcpsilva/InFTS2018-12 | /animation_fts.py | UTF-8 | 2,823 | 2.546875 | 3 | [] | no_license | from matplotlib import animation
import pertinence_funcs as pf
import numpy as np
import matplotlib.pyplot as plt
from fts_concrete import ConcreteFTS
from fts_stream import StreamAdaptiveWindowFTS
from fts_incremental_rule_deletion import IncMuSigmaRuleDeletionFTS
#Fts order
order = 3
nsets = 9
window_size = 100
# G... | true |
aa6fdc80e820b53b87bb8022ce923c8a3f1b4ecd | Python | miraedbswo/DMS-Backend | /Server/tests/v1/views/admin/account/test_account_control.py | UTF-8 | 3,058 | 2.609375 | 3 | [
"MIT"
] | permissive | from tests.v1.views import TCBase
from app.models.account import SignupWaitingModel
class TestDeleteAdminAccount(TCBase):
"""
TC about admin account deletion
This TC tests
* DELETE /admin/account-control
"""
def setUp(self):
"""
- Before Test
Create new admin acc... | true |
908a4cfd870fc703d75ab3f0c484cd305a402029 | Python | skyyi1126/leetcode | /1192.critical-connections-in-a-network.py | UTF-8 | 1,219 | 3.1875 | 3 | [] | no_license | #
# @lc app=leetcode id=1192 lang=python3
#
# [1192] Critical Connections in a Network
#
# @lc code=start
import collections
class Solution:
def criticalConnections(self, n: int, connections):
index = {}
low = {}
G = collections.defaultdict(list)
for v1, v2 in connections:
... | true |
f42280ea431710c79d2e45f15da7cb2ab5fe5a03 | Python | e2fyi/py-utils | /e2fyi/utils/aws/s3_resource.py | UTF-8 | 12,402 | 3.015625 | 3 | [
"Apache-2.0"
] | permissive | """
Provides `S3Resource` to represent resources in S3 buckets.
"""
import io
import json
import os.path
from uuid import uuid4
from typing import Union, Generic, TypeVar, Callable, Optional
import boto3
from e2fyi.utils.aws.s3_stream import S3Stream
T = TypeVar("T")
StringOrBytes = TypeVar("StringOrBytes", bytes, ... | true |
eadcab4a53de592224b6390847a811b099bbce12 | Python | Skyrich2000/Algorithm | /4_BruteForce/b_1182.py | UTF-8 | 500 | 2.78125 | 3 | [] | no_license | n, s = map(int, input().split())
lst = list(map(int, input().split()))
count = 0
def check(pick, newflag):
newpick = [e for e in pick]
newpick[newflag] = 1
global count
summ = 0
for i in range(n):
summ += lst[i] * newpick[i]
if summ == s:
count += 1
for i in range(newflag ... | true |
0a5d0e8e8d54a46ce55d71d14295c0396a595f3b | Python | nabeen/AtCoder | /abc/abc028/a.py | UTF-8 | 334 | 3.046875 | 3 | [] | no_license | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# https://atcoder.jp/contests/abc028/tasks/abc028_a
def main() -> None:
N = int(input())
if N <= 59:
print('Bad')
elif N <= 89:
print('Good')
elif N <= 99:
print('Great')
else:
print('Perfect')
if __name__ == '__main__... | true |
92bbd5cb58f62f019bfadc8597cbf515f93d3ae8 | Python | Fernweh-yang/TUM-Assigments | /Mobile Robotik in der Intralogitik/Python Vorlagen Neu/01_Kinematik/20200930_Kinematik_Aufgabe3_Studentenversion.py | UTF-8 | 14,563 | 3.171875 | 3 | [] | no_license | from __future__ import print_function
from __future__ import division
import time as t
import brickpi3
import math
import numpy as np
inf = math.inf #Unendlich definieren
#Test for infinity: x = inf; math.isinf(x)
########################################
#BrickPi und dessen Anschlüsse definieren
#-------... | true |
8958ac4b6eb27410f6f4c2f9da144e53f7c17762 | Python | arshharkial/Stock-Price-Prediction | /closing_price.py | UTF-8 | 2,481 | 3.140625 | 3 | [] | no_license | #Importind necessary libraries
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from keras.models import Sequential
from keras.layers import LSTM, Dense
from sklearn.preprocessing import MinMaxScaler
import h5py
#Importing dataset
dataset = pd.read_csv("NSE-Tata-Global-Beverages-Limited.csv")
dat... | true |
a9b84ae36ac10e4fd4747f8f96769fcadaa0414b | Python | Hnton/math318 | /Project10.py | UTF-8 | 1,047 | 3.390625 | 3 | [] | no_license | # Mikael Hinton
# Project 10
def eucx(d0,d1):
x0=1
y0=0
x1=0
y1=1
while d1 !=0:
q=d0//d1
d2=d1
x2=x1
y2=y1
d1=d0%d1
x1=x0-q*x1
y1=y0-q*y1
d0=d2
x0=x2
y0=y2
# print("d0=",d0,"d1=",d1,"q=",q,"x0=",x0,"x1=",x1,"x2=",x2,"y0=",y0,"y1",y1,"y2=",y2)
return (d0,x0,y0)
def modexp(base, exponent, mo... | true |
e6c3459e711c9a2c0a40c8cd12414eb4bc9f0ef5 | Python | popexizhi/client2app | /httper.py | UTF-8 | 1,664 | 2.515625 | 3 | [] | no_license | #-*- coding:utf8 -*-
import urllib, urllib2
import cookielib
import json
class httper():
def __init__(self, http_ip = "192.168.1.43"):
self.http_ip = http_ip
def register_app_server(self, url_id, name, key, serial):
"post id+key+serial /api/admin/register_app_server"
sel... | true |
a90e189a44d0a80ba51b80d4ce19d72031a91196 | Python | Sasium/randomstuff | /processor.py | UTF-8 | 4,828 | 3.25 | 3 | [] | no_license |
def matrix_reader(a, b):
print(b)
matrix_parameters = a.split()
return [input().split() for _ in range(int(matrix_parameters[0]))]
def main_transpose(a):
return [[x[i] for x in a] for i in range(len(a[0]))]
def side_transpose(a):
return [[x[i] for x in a[::-1]] for i in range(len(a[0]) - 1, -1,... | true |
3fbbf063764ee7a14e3881d3f6b083e6b1f5cbf5 | Python | agermain/Codewars | /6-kyu/are-they-the-"same"?/python/solution.py | UTF-8 | 323 | 3.140625 | 3 | [] | no_license | import math
def comp(array1, array2):
print(array1, array2)
if array1 is None or array2 is None:
return False
array1 = [abs(x) for x in array1]
for num in array2:
if math.sqrt(num) in array1:
array1.remove(math.sqrt(num))
else:
return False
return Tru... | true |
17de7975359b1d1107e660652cf15fa66a77cab3 | Python | raechen1007/ga_synthesiser | /individual.py | UTF-8 | 3,713 | 3.109375 | 3 | [] | no_license | # -*- coding: utf-8 -*-
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from math import sqrt
import numpy as np
from numpy.random import choice
from operators.mutations import uniformMutation
'''
Initial individuals generating functions
'''
def unifor... | true |
1e87ded83040317823fc56cf89ab99fb9a55d7ce | Python | peterdsharpe/AeroSandbox | /aerosandbox/dynamics/point_mass/point_1D/horizontal.py | UTF-8 | 1,894 | 2.859375 | 3 | [
"MIT",
"LicenseRef-scancode-proprietary-license",
"LicenseRef-scancode-other-permissive"
] | permissive | from aerosandbox.dynamics.point_mass.point_3D.cartesian import DynamicsPointMass3DCartesian
from aerosandbox.weights.mass_properties import MassProperties
import aerosandbox.numpy as np
from typing import Union, Dict, Tuple
class DynamicsPointMass1DHorizontal(DynamicsPointMass3DCartesian):
"""
Dynamics instan... | true |
739a784cf65f6169cc5d7abcef6ca5d02a734b04 | Python | MRonald/exercicios-python | /Heranca/Amigo.py | UTF-8 | 624 | 3.03125 | 3 | [] | no_license | from Heranca.Contato import Contato
from Heranca.Pessoa import Pessoa
class Amigo(Pessoa, Contato):
todos_amigos = []
def __init__(self, nome, idade, sexo, email, linkedin, github):
self.nome = nome
self.idade = idade
self.sexo = sexo
self.email = email
self.linkedin =... | true |
15252a6666d41cc1ff9aa6099518214563b0e3b9 | Python | ucsb-coast-lab/area_from_svo | /plot_results.py | UTF-8 | 4,120 | 3 | 3 | [] | no_license | #!/usr/bin/python3
import numpy as np
from numpy import genfromtxt
import os, sys
import matplotlib.pyplot as plt
import matplotlib.mlab as mlab
from scipy.stats import norm
# We're going to open the results csv file, and write all the valid results to another
# data file
def import_data_from_csv(filename):
# fil... | true |
d665433fe48b046af508245da8031887e9d8a6c4 | Python | b21quocbao/Competitive-Programming | /BGGCD.PY | UTF-8 | 516 | 2.609375 | 3 | [] | no_license | from __future__ import print_function
import sys
def eprint(*args, **kwargs):
print(*args, file=sys.stderr, **kwargs)
import os.path
import math
if os.path.isfile("test.inp"):
sys.stdin = open("test.inp", "r")
sys.stdout = open("test.out", "w")
elif os.path.isfile("BGGCD.inp"):
sys.stdin = open("BGGCD.i... | true |
df660c52545797c62fd4cec61d5dc2f4d2d4d982 | Python | Orlha/TLS | /TLS/kuznyechik/block_cipher_mode.py | UTF-8 | 3,017 | 2.640625 | 3 | [] | no_license | import os
import sys
block_cipher_mode_dir = os.path.dirname(os.path.abspath(__file__))
sys.path.append(os.path.join(block_cipher_mode_dir, '../../'))
from TLS.kuznyechik.block_cipher import *
class BlockCipherMode:
def __init__(self, block_cipher: BlockCipher):
self.cipher = block_cipher
def encry... | true |
5f3aa291e91fd4a91aa36d9b95ffde92bab9cb6f | Python | link-money-dev/robot | /tasks/issue_assets.py | UTF-8 | 7,556 | 2.65625 | 3 | [
"MIT"
] | permissive | # -*- coding: UTF-8 -*-
# 该模块给出了一个发行数字资产的例子
# 发行资产需要两个账户：一个是发行账户，一个是分发账户，产生的资产在分发账户里
# 对于本例，产生的资产咋子distributor这个账户里
# 发行账户即：
# 分发账户即：
import wrapper.client as CLIENT
import CONSTANT
constant=CONSTANT.Constant('public')
issuer_private_key_for_LINK='SDCCOAL6ILCJXWQPDZLRNHTMAHLZHC2IIHGPSQMLSIPHRTLNCFNT4A66'
issuer_ad... | true |
9cc9256022dd5d8aea2e7d25f5b3c3c3d0b88dbb | Python | sagarnikam123/learnNPractice | /codingBat/python/string1/frontAgain.py | UTF-8 | 868 | 3.203125 | 3 | [
"MIT"
] | permissive | #######################################################################################################################
#
# frontAgain
#
# Given a string, return true if the first 2 chars in the string also appear
# at the end of the string, such as with "edited"
#
#############################################... | true |
01e7958ca2aa13644fd628351c7df0d47a6f9837 | Python | stellaluminary/Baekjoon | /2110.py | UTF-8 | 452 | 2.890625 | 3 | [] | no_license | # n, c= 5,3
# l = sorted([1,2,8,4,9])
n,c = map(int, input().split())
l = sorted([int(input()) for _ in range(n)])
start = 1
end = l[n - 1] - l[0]
while start <= end:
cnt = 1
mid = (start + end) // 2
current = l[0]
for x in l:
if current + mid <= x:
cnt += 1
current = x... | true |
417e6e9ac20164065cd88aca183e161919c88db6 | Python | hinriksnaer/Basic-Transformer | /trainer.py | UTF-8 | 5,212 | 2.640625 | 3 | [] | no_license | import torch
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
import pytorch_lightning as pl
from model import TransformerEncoder, PositionalEncoding
from scheduler import CosineWarmupScheduler
class TransformerPredictor(pl.LightningModule):
def __init__(self, input_dim, model_di... | true |
1007d77674650f04d823163fbf8ce056e07ac436 | Python | adamcath/mailr | /mailr | UTF-8 | 3,060 | 2.78125 | 3 | [] | no_license | #!/usr/bin/env python
import argparse
import csv
import tempfile
import os
import sys
def fail(msg, errno):
sys.stderr.write(msg + "\n")
sys.exit(errno)
def cli():
parser = argparse.ArgumentParser(description="Send builk emails")
subparsers = parser.add_subparsers()
build_parser = subparser... | true |
660e7f5dd2047d82cabe1705b80101c36ce395b9 | Python | pedrozopayares/Data-Structure-and-Algorithms | /Python 3/BubbleSort.py | UTF-8 | 1,623 | 4.0625 | 4 | [] | no_license | '''
<< Bubble Sort Algorithm >>
Sometimes referred to as sinking sort,
is a simple sorting algorithm that repeatedly steps through the list,
compares adjacent elements and swaps them if they are in the wrong order.
The pass through the list is repeated until the list is sorted.
The algorithm, which is a comparison... | true |
992b562a47c5b3195f1c7db721776c4aefef2bfa | Python | billwestfall/python | /miscellaneous/sudoku/002_three.py | UTF-8 | 301 | 3.34375 | 3 | [] | no_license | import numpy as np
a1 = [6, 6]
arr = np.random.randint(1, 4, size = (3, 3))
arr_sum = np.sum(arr, axis=1)
arr_sumb = np.sum(arr, axis=0)
print('-----Generated Random Array----')
print(arr)
if np.array_equal(arr_sum, a1) and np.array_equal(arr_sumb, a1):
print(arr_sum)
else:
print("Not sudoku")
| true |
8b3cd836c3d666cb5a4d8127704089667e761b9e | Python | jose-myvalue/investment | /app/value/fundamentals.py | UTF-8 | 21,592 | 2.59375 | 3 | [] | no_license | from datetime import datetime
from typing import Dict
from app.value.forecast import ForecastLR
from app.value.utils import Utils
import pandas as pd
import numpy as np
pd.options.display.float_format = "{:.2f}".format
pd.options.mode.chained_assignment = None
np.set_printoptions(suppress=True, formatter={"float_ki... | true |
412eba15b19d85b9e018fe0e8d11b01239bbe539 | Python | aganpython/laopo3.5 | /python/Socket&Twisted/T_TCPClient.py | UTF-8 | 402 | 2.65625 | 3 | [] | no_license | # -*- coding: utf-8 -*-
from socket import *
HOST = 'localhost'
PORT = 10001
BUFFER = 1024
ADDRESS = (HOST, PORT)
clientSocet = socket(AF_INET, SOCK_STREAM)
clientSocet.connect(ADDRESS)
while True:
data = input('> ')
if not data:
break
clientSocet.send(data.encode())
data = clientSocet.recv(BU... | true |
904a893b7495a25fc43bb14f22448d6a894f30aa | Python | yongkwangshin/tensorflow | /cnn.py | UTF-8 | 3,250 | 3.3125 | 3 | [] | no_license | # cnn.py: MNIST image recognition with CNN
# written by Sung Kyu Lim
# limsk@ece.gatech.edu
# 12/18/2017
# B1: import tensorflow
import tensorflow as tf
import os
os.environ['TF_CPP_MIN_LOG_LEVEL']='2'
# B2: MNIST data set up
from tensorflow.examples.tutorials.mnist import input_data
mnist = input_data.re... | true |
c295b6a3c141e4f8b97e044c2d86d663bb74abf5 | Python | loggar/py | /py-core/io/io_file_position.py | UTF-8 | 366 | 3.5625 | 4 | [] | no_license | #!/usr/bin/python3
# Open a file
fo = open("./dist/foo.txt", "r+")
s = fo.read(10)
print("Read String is : ", s)
# Check current position
position = fo.tell()
print("Current file position : ", position)
# Reposition pointer at the beginning once again
position = fo.seek(0, 0)
s2 = fo.read(10)
print("Again read Strin... | true |
7c7b56f08a053ccde1ea3fe8398cb9e70634365a | Python | Aasthaengg/IBMdataset | /Python_codes/p02855/s871657124.py | UTF-8 | 1,317 | 2.796875 | 3 | [] | no_license | H, W, K = map(int, input().split())
L = []
for _ in range(H):
s = input()
row = []
for j in range(len(s)):
row.append(s[j])
L.append(row)
# print(L)
ans = [[0] * W for _ in range(H)]
# ans[0][1] = 1
# print(ans[0][1])
color = 1
count = 0
for i in range(H):
if '#' not in L[i]:
for ... | true |
660cc397886fb61f763d77f7e3fe135a22e321a0 | Python | 553672759/xxgit | /python/old/exercise/testDir/zidian.py | UTF-8 | 469 | 3.171875 | 3 | [] | no_license | #coding:utf8
'''
Created on 2016-10-22
@author: xx
'''
'''
字典:一种映射关系
'''
#创建字典的方式
aInfo={'aaa':3000,"bbb":5000}
info=[('aaa',3000),('bbb',5000)]
bInfo=dict(info)
cInfo=dict([('aaa',3000),('bbb',5000)])
dInfo=dict(aaa=3000,bbb=5000)
fInfo=dict((('aaa',3000),('bbb',5000)))
print fInfo
aDict={}.fromkeys(('aaa','bbb','ccc... | true |
6b7825de617ca9dbbbccd3f2cf4354856a002991 | Python | rentfrow/DAQ_Logger | /DAQ_errors.py | UTF-8 | 23,147 | 2.71875 | 3 | [] | no_license | #!/usr/bin/env python3
# SCPI Errors
# -100 to -200 Command Errors
# -200 to -299 Execution Errors
# -300 to -399 SCPI Specified Device-Specific Errors
# -400 to -800 Query and System Errors
# 100 to 200 PNA-specific Errors
# http://na.support.keysight.com/pna/help/latest/Support/SCPI_Errors.htm
# -100 to -200 Comma... | true |
ec266104bb8a2250332fc51644c80cff91742402 | Python | captainsoma/midi_websocket_chesscam | /Server/hub_alt.py | UTF-8 | 2,619 | 2.59375 | 3 | [] | no_license | #!/usr/bin/env python
# WS server example
import websockets
import concurrent
import json
from Server.chesscam import ChessCam
import asyncio
import config
class Hub:
def __init__(self):
# First we setup the chesscam
self.cam = ChessCam()
self.connected = False
self.sequence_rea... | true |
9bfb716a185cde5032832575bb8f0fd123ad98ca | Python | tws0002/helga | /helga/maya/arash/helga_rig_functionality/helga_rig_functionality.py | UTF-8 | 3,964 | 2.734375 | 3 | [] | no_license |
"""
helga_rig_functionality
==========================================
Rig helper functionality. This module separates the functionality of interacting with the Helga rigs
from any UI. It encompasses functions used with Maya modules.
There is no import of PySide in here. All UI tools that let you work with
the rigs ... | true |
161765f67126ccdd5db4262f078bb6b846e0af38 | Python | benvizy/space-invaders | /enemy.py | UTF-8 | 1,885 | 3.84375 | 4 | [] | no_license | from turtle import Turtle
from bullet import Bullet
import random
MOVE_DISTANCE = 10
MOVE_INCREMENT = 10
ENEMY_NUMBER = 50
LEFT_B = -300
RIGHT_B = 300
def random_color():
r = random.randint(1, 255)
g = random.randint(1, 255)
b = random.randint(1, 255)
ran_col = (r, g, b)
return ran_col
class Ene... | true |
ff01bf2e01b1492411ec8b380590ad054df409d8 | Python | sukku777/lists-in-python | /to find largest element in list.py | UTF-8 | 45 | 2.609375 | 3 | [] | no_license | d=[23,45,6,78,98,34,67]
k=max(d)
print(k)
| true |
b29a6e9296e5bc850d972e623770cfb3446e7c29 | Python | JamesDanni/PythonSpiderStudy | /study09-SeleniumSpider/doubanmovie.py | UTF-8 | 2,154 | 3.21875 | 3 | [] | no_license | #coding=utf-8
from time import sleep as s
from urllib import parse
from selenium import webdriver
import csv
class DouBan():
def __init__(self,page_count):
self.dv = webdriver.Chrome()
self.page_count = page_count #点击加载更多的次数
self.data = []
#获取页面信息
def get_page_data(... | true |
6593c8ae5a60f6e8219d2fa0e67a8d29bd39d71b | Python | IMIO/imio.pyutils | /imio/pyutils/utils.py | UTF-8 | 7,362 | 3.046875 | 3 | [] | no_license | # -*- coding: utf-8 -*-
#
# python utils methods
# IMIO <support@imio.be>
#
from collections import OrderedDict, defaultdict
from itertools import chain
from operator import methodcaller
import copy
import itertools
import logging
import time
import timeit
def all_of_dict_values(dic, keys, labels=[], sep=u'='):
... | true |
60589bd98bc55e8a7366b9645d14f120128cf17b | Python | rafatio/cornetometro | /build_classifier.py | UTF-8 | 1,930 | 3.15625 | 3 | [] | no_license | import os
import nltk.classify.util
from nltk.classify import NaiveBayesClassifier
from nltk.corpus import stopwords
from numpy.random import randint
import collections
import pickle
# THIS FILE TAKES THE BEST APPROACH FROM sentiment_analysis.py AND PROVIDES A WAY TO SAVE THE CLASSIFIER IN A FILE
def get_classified_t... | true |
71acfb808427ca0b542b38a3ac758a1b1185ab36 | Python | Prdeeepg/Epitranscriptome-Analysis | /kmeancluster_orignal.py | UTF-8 | 2,111 | 2.859375 | 3 | [] | no_license | from scipy import stats
import numpy as np
from scipy.stats import fisher_exact
import matplotlib.pyplot as pyplot
from sklearn.cluster import KMeans
def kmeans(file_string,f,outfile):
normed = np.loadtxt(file_string, usecols=(1, 2), dtype = 'float', skiprows=1)
normed = normed.astype(float)
gene_name =... | true |
202382d1c96ada71601b423988fcccb9ffd091c0 | Python | Carlosriosch/FiltersForSelfies | /intento3 (Falta Pulir)/recolectar_gestos.py | UTF-8 | 3,042 | 2.578125 | 3 | [
"MIT"
] | permissive | #python intento3/recolectar_gestos.py --nombre fondo --dir C:\Users\carlo\Desktop\GitHub\FiltersForSelfies\intento3\capturas
#la primera linea es para llamar al programa darle el nombre fondo a la carpeta y los archivos que se guaradar y la ubicacion.
import cv2 as cv
import os
import numpy as np
import argparse
scr... | true |
bd4052ef6502f65c427d46e6f3fe1da3321bee36 | Python | duybui2905/C4T-13 | /session9/turtle_color.py | UTF-8 | 159 | 3.53125 | 4 | [] | no_license | from turtle import *
mau = ["blue", "green", "red", "orange"]
speed(-1)
shape("turtle")
for i in range (len(mau)):
color(mau[i])
forward(50)
mainloop() | true |
54b336176e7db059a3cb3d72e377c74c13f4c7a6 | Python | DimitarKum/Python-Beginner-Project | /generateData/generateProject.py | UTF-8 | 951 | 3.53125 | 4 | [] | no_license | import random as rnd
# This is the code that was used to produce the matches.csv file.
# The code can be rerun to generate different matches data since the games are randomized.
def main():
scientists = [
"Grace Hopper", "Alan Turing", "Marie Curie",
"Charles Darwin", "Nikola Tesla", "Gregor Mendel... | true |
09278ba1e2dbb378f416b8e7f0119fb5ed9037e6 | Python | MrDetectiv/fb-labs-2020 | /cp_2/Ivanchenkov_Melnychenko_Cp2/viginer_test.py | UTF-8 | 1,520 | 2.96875 | 3 | [] | no_license | import unittest
from viginer_lib import exclude_letters, crypt, decrypt, crypt_file, decrypt_file, algorithm1, shift_text, build_key
import numpy as np
key = 'абвгд'
class TestMethods(unittest.TestCase):
""" тест кодирования/декодирования текста """
def test1(self):
with open('text1.txt', 'r', encodi... | true |
77fffb5903d27b3143bbf6a89e7d08388aa29ac3 | Python | zckoh/cf_cw1 | /Q5/g-min-c.py | UTF-8 | 2,299 | 2.828125 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
File : g-min-c.py
Author : zckoh
Date : Wed Feb 20 21:20:20 2019
Brief : shortsale-constrained portfolio
"""
import numpy as np
import pandas as pd
from datetime import timedelta
import matplotlib.pyplot as plt
import math
import scipy.io
from scipy.optimize import mi... | true |
97b2ca54b99381ba46e0fbdbff41c9580179bfcc | Python | marcos-sb/hacker-rank | /algorithms/strings/two-strings/Solution.py | UTF-8 | 354 | 3.21875 | 3 | [
"Apache-2.0"
] | permissive | import sys
t = int(sys.stdin.readline())
for _ in range(t):
chars = dict()
a = sys.stdin.readline().strip()
b = sys.stdin.readline().strip()
for c in a:
chars[c] = 1
found = False
for c in b:
if c in chars:
print('YES')
found = True
break
... | true |
f262343f70c0cef246cde4ecbb0f62e29cacc57a | Python | Retroflux/FallGuysStats | /classes/Episode.py | UTF-8 | 1,912 | 3.078125 | 3 | [] | no_license | # Episode = full round of games from start to finish
# Number of rounds
# Episode Number
# Number of Team Games
# Number of Solo Games
# Final Placement Score
class Episode:
"""docstring for Episode"""
totalNumberOfEpisodes = 0
def __init__(self, numberOfRounds, episodeNumber, finalPlayerScore, listOfRou... | true |
b1a0b8bb2d8df073cf0645a34130e9c14d4b0254 | Python | protist/utils | /vwtags.py | UTF-8 | 2,292 | 2.875 | 3 | [
"MIT"
] | permissive | #! /usr/bin/env python3
# -*- coding: utf-8 -*-
from __future__ import print_function
help_text = """
Extracts tags from Vimwiki files. Useful for the Tagbar plugin.
Usage:
Install Tagbar (https://github.com/preservim/tagbar/). Then, put this file
anywhere and add the following to your .vimrc:
let g:tagbar_type_vim... | true |
97f3ea3324f4793f29e0c2960593140aa53e08ba | Python | capitao-red-beard/fluent_python | /part_2/listcomps.py | UTF-8 | 653 | 4.65625 | 5 | [] | no_license | # Example for why list comprehension is more readable than for loops.
# Build a list of Unicode codepoints from a string (1)
symbols = "$&@*^%"
codes = []
for symbol in symbols:
codes.append(ord(symbol))
print(codes)
# Build a list of Unicode codepoints from a string (2)
symbols2 = "$&@*^%"
codes2 = [ord(symbol2)... | true |
e6435c5379a5c24bde3206e72f611f3eef3100d2 | Python | sebasrodas/DeepLearning | /AplicacionEjercicio1AND.py | UTF-8 | 2,103 | 2.796875 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Thu Jan 2 17:10:54 2020
@author: SEBAS
"""
import numpy as np
import pandas as pn
import matplotlib.pyplot as plt
dataSwiches = np.array(pn.read_csv('trainAND.csv'))
X_train = dataSwiches[:,1:]
Y_train = dataSwiches[:,0]
Z_train = dataSwiches[:,0]
Y_train = Y_train[:,np.newaxi... | true |
14b09c77777408740466c4b9d9c161db79e2d935 | Python | shivamaroraa/CodeSignal | /Intro/Python/checkPalindrome.py | UTF-8 | 194 | 3.21875 | 3 | [] | no_license | def checkPalindrome(inputString):
isP = True
for i in range(len(inputString)):
if inputString[i] != inputString[len(inputString) - 1 - i]:
isP = False
return isP | true |
1108fbdf0373a52f3be1ef3879ac9195be591d4e | Python | dariogomes/udacity | /Project1/Exercises/script.py | UTF-8 | 774 | 3.828125 | 4 | [] | no_license | # coding: utf-8
# Começando com os imports
import csv
import matplotlib.pyplot as plt
# Vamos ler os dados como uma lista
print("Lendo o documento...")
with open("capacity.csv", "r", encoding="utf-8", errors="ignore") as file_read:
reader = csv.reader(file_read)
data_list = list(reader)
print("Ok! File Read."... | true |
215fe67d71e01d9bdb128e4a349e2aa58e116e02 | Python | ShreJais/GMM | /inference/tensorflow/gmm_means_cavi.py | UTF-8 | 8,339 | 2.5625 | 3 | [] | no_license | # -*- coding: UTF-8 -*-
"""
Coordinate Ascent Variational Inference process to approximate a mixture
of gaussians with common variance for all classes
"""
from __future__ import absolute_import
import argparse
import math
import os
import pickle as pkl
import sys
from time import time
import matplotlib.pyplot as pl... | true |
86bfa78a3a4e7a6bc9428420e6bef56805edf80c | Python | my-xh/cs-course-project | /homework/10_4_1.py | UTF-8 | 4,279 | 4 | 4 | [] | no_license | """
AVL树 这是一种平衡树
每次插入key时，都会调整树的结构使其保持为平衡二叉树
每个节点都有平衡因子bf=左子树高度-右子树高度
如果bf>0说明左重，小于说明右重
如果bf在-1到1之间，称为平衡树
调整方法：
左重：如果左子节点右重，先左旋左子节点，再右旋当前节点
右重：如果右子节点左重，先右旋右子节点，再左旋当前节点
"""
from pythonds.trees.bst import BinarySearchTree, TreeNode
class AVLTree(BinarySearchTree):
# 重新定义_put方法
def _put(self, key, val, current_n... | true |
e474df0c448b1630b678756b1e08b9eeefc083dd | Python | Aasthaengg/IBMdataset | /Python_codes/p02971/s105000392.py | UTF-8 | 193 | 2.96875 | 3 | [] | no_license | N = int(input())
A = []
for _ in range(N):
A.append(int(input()))
newA = sorted(A)
ma = newA[N-1]
for i in range(N):
if A[i] == ma:
print(newA[N-2])
else:
print(ma) | true |
eb6cc8ae81d7bf0555bd5eadda638542a417d60f | Python | fletchermoore/AnkiNotebooks | /src/anki_notebooks/exporter.py | UTF-8 | 1,735 | 2.625 | 3 | [] | no_license | from anki.exporting import Exporter
from .write import writeDoc
from .paths import escapedCardToPath, pathsToBullets
import re
class DocExporter(Exporter):
key = _("Cards as Word Document")
ext = ".docx"
def __init__(self, col):
Exporter.__init__(self, col)
def exportInto(self, path):
... | true |
9ff7c88767b8edf11d570eac55cbc783e3491fd0 | Python | JavaRod/SP_Python220B_2019 | /students/alexander_boone/lesson01/activity/calculator/adder.py | UTF-8 | 265 | 2.90625 | 3 | [] | no_license | """
This module provides a addition operator.
"""
class Adder:
"""Perform addition operation on two input parameters."""
@staticmethod
def calc(operand_1, operand_2):
"""Return operand 2 plus operand 1."""
return operand_1 + operand_2
| true |
0e66afc27aae6360984a744e79a18f889048f363 | Python | eliorcc/ieeextreme-programming-competition | /game_of_stones.py | UTF-8 | 518 | 3.34375 | 3 | [] | no_license | test_cases = int(input())
result_list = []
for i in range(test_cases):
number_of_games = int(input())
pile_size_list = []
sum = 0
for j in range(number_of_games):
piles = int(input())
pile_sizes = input().split(" ")
for t in pile_sizes:
pile_size_list.append(int(t))
... | true |
234be0092c11de430b257d101c47ba0c9bc4096f | Python | hchen13/tof-ai | /gesture_python/data_preprocess.py | UTF-8 | 1,717 | 2.640625 | 3 | [] | no_license | import matplotlib
matplotlib.use('TkAgg')
import cv2
import pathlib
import settings
def display_image(*images, col=None, width=20):
from matplotlib import pyplot as plt
import numpy as np
if col is None:
col = len(images)
row = np.math.ceil(len(images) / col)
plt.figure(figsize=(width, (w... | true |
b0fa7cc5083081a65f4d588e64b83735bc248a30 | Python | rjr5838/EagleIslandAddons | /libTAS/EagleIsland2libTAS.py | UTF-8 | 5,994 | 2.65625 | 3 | [
"Apache-2.0"
] | permissive | #!/usr/bin/env python
# This script converts .tas files from EagleIsland TAS tool
# (https://github.com/rjr5838/EagleIslandTAS/) to libTAS input file.
# Just run ./EagleIsland2libTAS path/to/tasfile.tas
import glob
import math
import os
import re
import sys
def main():
EagleIsland2libTAS().convert()
def get_li... | true |
006df71f5d16a383d5ffc1deaaf3103b1e24cbc7 | Python | shashasi/BRKRST-2600 | /off_the_box_demo.py | UTF-8 | 2,204 | 2.734375 | 3 | [] | no_license | # THIS SOFTWARE IS PROVIDED BY THE AUTHOR AND CONTRIBUTORS ``AS IS'' AND
# ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
# ARE DISCLAIMED. IN NO EVENT SHALL THE AUTHOR OR CONTRIBUTORS BE LIABLE
# FOR ANY DIRECT, INDIRE... | true |
6da16cf57c15aff82bffc7af23df3fb5ed944b8f | Python | Emoto13/Python101 | /week4/01.Mixins/mixins.py | UTF-8 | 2,266 | 3.09375 | 3 | [] | no_license | import json
from dicttoxml import dicttoxml
import jxmlease
class JsonableMixin:
def to_json(self, indent=4):
name = self.__class__.__name__
attributes = self.__dict__
return json.dumps({'type': name, 'dict': attributes}, indent=indent)
@classmethod
def from_json(cls, json_string)... | true |
6c1d9099e93402d739b2425403094894ec17b3c2 | Python | EdenAraura/Games-Programming | /Classwork/Lesson_3/pythonClass3.1.py | UTF-8 | 176 | 3.09375 | 3 | [] | no_license | list = ["mix", "xyz", "apple", "xanadu", "rovio"]
a = []
b = []
for y in list:
if y[0] == "x":
a.append(y)
else:
b.append(y)
print(sorted(a)+sorted(b))
| true |
01260961e9ef81352241d8abadb9cdf833794a77 | Python | JoakimHaurum/DL_Projects | /dlrepo/models/utils/saving.py | UTF-8 | 1,338 | 2.828125 | 3 | [
"MIT"
] | permissive | # -*- coding: utf-8 -*-
"""
@author: Joakim Bruslund Haurum
"""
import pickle
import matplotlib.pyplot as plt
import numpy as np
def save_img_grid(dir_path, file_name, imgs, nh, nw, title = ""):
"""
Saves the provided 2D images in a grid of size nw x nh in the designated directory
"""
assert imgs.... | true |
43609764e36d6680a16efb14f09aaa507224d2fb | Python | chrishanson06/Flask-API | /Flask/database/models.py | UTF-8 | 1,724 | 2.796875 | 3 | [
"MIT"
] | permissive | '''
Models to serialize between MongoDB and Python
'''
from .db import db
from flask_bcrypt import generate_password_hash, check_password_hash
import onetimepass
import base64, os, random, string
class Card(db.Document):
name = db.StringField()
content = db.StringField()
width = db.IntField()
height = db.IntFie... | true |
8c279f90d982a5220b161d13665bed7b193f3270 | Python | gholamifarshad98/Stereo_Vision_Camera | /stereo_cam_calibration/generate_stereo_calibration_remap_parameters.py | UTF-8 | 7,790 | 2.546875 | 3 | [] | no_license | import numpy as np # version: '1.14.0'
import cv2 # version: '3.1.0'
import glob
import pickle
import os
# Set root directory.
rootDir = os.getcwd()
print('\nrootDir = {}\n'.format(rootDir))
# Set parameter directory.
dir_calib_parameter = rootDir+'/output/computed_calibration_parameters/'
# Set original frames direct... | true |
1afc70e1e5c789b406fd5a29134af939fc7f21b6 | Python | Aasthaengg/IBMdataset | /Python_codes/p03549/s093548401.py | UTF-8 | 101 | 2.953125 | 3 | [] | no_license | [n,m] = [int(i) for i in input().split()]
x = (n-m) * 100 * (2**m)
x += m * (2 ** m) * 1900
print(x)
| true |
44d02288b1ceac3e8cd0a87c4ca47e379441e21c | Python | databar-team/redis-flask-docker | /app.py | UTF-8 | 694 | 2.90625 | 3 | [] | no_license | import os
from flask import Flask, request
from redis import Redis
app = Flask(__name__)
redis = Redis(host='redis', port=6379)
@app.route('/')
def hello():
return "Go on /put route to put data, and on /get to read your data"
@app.route('/put', methods=['GET', 'POST'])
def put():
if request.method == 'POST':... | true |
2ac956012e4c1aec24afd7404cf8cae5588feaa1 | Python | ThorkellTheTall/Violeth | /Combat.py | UTF-8 | 4,959 | 2.625 | 3 | [] | no_license | import pygame
from pygame.locals import *
from sorts import *
from Personnage import *
from mobs import *
from Barre_de_vie import *
from level import *
from afficheur import *
image = pygame.image.load("interface combat.png")
pygame.init()
pygame.mouse.set_visible(1)
global scre... | true |
1c85a0a576082e4154f1b63e40c1186be45d9de2 | Python | Descent098/projects-experiments | /Languages/Python/snippits/string_similarity.py | UTF-8 | 2,076 | 3.5 | 4 | [
"MIT"
] | permissive | # See https://gist.github.com/Descent098/dae85d0235acce5322bf1277d1372a7e
from difflib import SequenceMatcher
# Faster when used with python-Levenshtein, but causes some issues
from fuzzywuzzy import fuzz
from fuzzywuzzy import process
##################### Single word similarity ##################################... | true |
f917f98f59de324fa7cc04a9e26e8ee9e7b02c4e | Python | dlatnrud/pyworks | /media_turtle/move_random.py | UTF-8 | 258 | 3.484375 | 3 | [] | no_license | # 마음대로 걷는 거북이
import turtle as t
import random
t.shape('turtle')
t.bgcolor('pink')
t.color('blue')
t.speed(5)
for x in range(300):
angle = random.randint(1, 360) # 1 ~ 360도 랜덤한 각도
t.setheading(angle)
t.forward(10) | true |
ace290279810c49d135c771135cb48e9d66de17e | Python | adelamegaa/Quiz-4 | /Quiz43_Adela Mega Aglina_1201184258.py | UTF-8 | 233 | 3.609375 | 4 | [] | no_license | ListGPA = [2.1, 2.5, 4, 3]
def Hadiah (GPA):
Bonus = 500000
Hadiah = GPA * Bonus
return Hadiah
for GPA in ListGPA:
if GPA > 2.5:
print('Hadiah : Rp ', Hadiah (GPA))
else:
print('Maaf') | true |
85d3d770290c89d6961b376b22ec80e0a133095b | Python | ChaofeiLiu/D.S | /DS_sort_set/binarysearch.py | UTF-8 | 1,015 | 4.03125 | 4 | [] | no_license | #!/usr/bin/env/ python
# -*— coding=utf-8 -*-
# @FileName :binarysearch.py
# @Time :2020/8/16
# @Author: chaofei_liu
# 普通实现
def binarysearch(alist,item):
first = 0
last = len(alist) - 1
found = False
while first <= last and not found:
midpoint = (first+last) // 2
if alist[midpoint] == ... | true |
3d96ab92b306088145c0a74855e9ebd8aba1ff2c | Python | AndrewBatty/Iteration | /Iteration_Development_Exercise2.py | UTF-8 | 261 | 3.734375 | 4 | [] | no_license | # Andrew Batty
# 29/10/14
# Development exercise 2
stars = int(input("Please enter the number of stars per row you would like: "))
rows = int(input("Please enter the number of rows you would like: "))
for count in range(rows):
print("*" * stars)
| true |
8f2a6902d6e0f1a1c6173c2789e6f1420a0e2763 | Python | xtreezzz/msp_lesson2 | /if_string.py | UTF-8 | 477 | 3.78125 | 4 | [] | no_license | def string_checker(_s1, _s2):
if isinstance(_s1, str) and isinstance(_s2, str):
if _s1 == _s2:
return 1
elif len(_s1) > len(_s2):
return 2
elif _s2 == 'learn':
return 3
else:
# Недостоющиее условие
return 4
else:
... | true |
abe126c148b6bb23f3ba17a496b1dd87f8e351e4 | Python | rstreppa/algorithms-Basics | /DataStructures/test_queue.py | UTF-8 | 665 | 3.21875 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
@date: Tue Jan 11 21:56:07 2022
@author: rstreppa ( roberto.strepparava@gmail.com )
@company: https://github.com/rstreppa
@type: test
@description: test file for script C:/Users/rober/OneDrive/Documents/Library/Programming/Data_Structures/Queue/queue.p... | true |
cc13c924afea8d14bd511b57c36821114f371bab | Python | okiki-oliyide/aws_projects | /shows/streamer_rule_config_builder.py | UTF-8 | 1,460 | 2.609375 | 3 | [] | no_license | import json
channel_count = 40
udp_start_emx = 20001
cameras_list = []
streams_list = []
stream_source = [ "emx" , "eml" ]
# for each channel :
port_increment = 0
for channel_number in range(0,channel_count):
for source_type in stream_source:
if source_type == "emx":
udp_start = udp_start_em... | true |
7420b14764cc71f08b851c464156328af9753c2e | Python | FrancescoGobbo/Python | /libreriaPython.py | UTF-8 | 268 | 4 | 4 | [] | no_license | #questo programma ci fornisce 10 numeri casuali tra 1 e 50
import random
from math import sqrt
for numero in range(10):
valore=random.randint(1,50)
print(valore)
print("\nValore: " + str(valore))
k=sqrt(valore)
print("\nValore SQRT: " + str(k))
| true |
886384daedb97de230e8ff33c72da1faafec912e | Python | nombreinvicto/OpenCV | /ocv_mallick/1.Course1-Intro/Project2_MouseEventHandling/submission_trackbar.py | UTF-8 | 2,634 | 3.140625 | 3 | [] | no_license | import cv2
import numpy as np
# resize function
def resize(image: np.ndarray, target_size=(400, 400)):
return cv2.resize(image, dsize=target_size)
# putText function
def put_text(image: np.ndarray):
image_height = image.shape[0]
cv2.putText(image, 'Hit ESC to close Window',
(10, image_he... | true |
cca40679b6e368b862143f055c6e344ccf3cae7c | Python | gunyarakun/nicotagmap | /png2tile.py | UTF-8 | 415 | 2.796875 | 3 | [] | no_license | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys
import math
import Image, ImageDraw, ImageFont
print sys.argv[1]
img = Image.open(sys.argv[1])
width, height = img.size
cols = int(math.ceil(width / 256.0))
rows = int(math.ceil(height / 256.0))
for y in range(rows):
for x in range(cols):
tile = img.cro... | true |
00f22eac5f9a017afe03ea3d4d7e88d221b634aa | Python | tpt5cu/python-tutorial | /language/python_369/python_369/popular_modules/tempfile_/introduction.py | UTF-8 | 3,491 | 3.796875 | 4 | [] | no_license | # https://docs.python.org/3.7/library/tempfile.html
import tempfile, pathlib, os
this_dir = pathlib.Path(__file__).parent
'''
- TemporaryFile, NamedTemporaryFile, TemporaryDirectory, and SpooledTemporaryFile are high-level interfaces whose resources can be automatically
removed when the script is finished
- mks... | true |
c2538eabaae13e128e64079a37259309bd5d2f16 | Python | LaPetiteBiche/take-home_exam1_prog | /HT1_ArthurBonetti/Question_3/question_3c.py | UTF-8 | 106 | 3 | 3 | [] | no_license | from Polar_Class import *
p1 = Polar(1,1)
print(p1)
p2 = Polar(7,3)
print(p2)
p3 = Polar(12,23)
print(p3) | true |
6a87579a35cfb25f1ad6ae2af6fb2fafd9f8398d | Python | zhaoweikid/zbase3 | /web/cache.py | UTF-8 | 6,201 | 2.90625 | 3 | [] | no_license | # coding: utf-8
import os, sys
import time
import traceback
import types
import logging
log = logging.getLogger()
# 两种缓存模式
# 1. 所有缓存key共用同一个更新函数
# 2. 缓存为每个key都设置一个更新函数
class Cache (object):
def __init__(self, func=None, timeout=10):
self._cache = {}
# 以下为缓存模式1所用，只有模式1才需要
self._func = func
... | true |
13de5563be6926a7302e2e86c18dc93bbbcb968a | Python | janakparmar9491/The-Complete-Python-Masterclass-Learn-Python-From-Scratch | /2-Control-Structure-In-Python/2-Intro-List.py | UTF-8 | 165 | 3.515625 | 4 | [] | no_license | people = ["Janak","Kuldip","Jakey","Ashok","Vijay"]
print(people[2])
print(people[0:3])
num = [1,2,3,4,5]
print(num)
a = [] ###define list just like array
print(a) | true |
02a1f72b8ab33d359f6add2e9886815b844929ba | Python | sadiqulislam/Python-Practice-All- | /globalvariableKeyword.py | UTF-8 | 73 | 3.15625 | 3 | [] | no_license | g = 10
def rise(m):
l = 10
b = g + l
print(b,m)
rise("We") | true |
e5457e2238d350ed473608e2ba0d8235b00ef883 | Python | HubertSiewior/Python-AGH-Projects | /software engineering - project/tests/test_get_module_usage.py | UTF-8 | 2,618 | 2.828125 | 3 | [] | no_license | import os
import unittest
from H1 import get_module_usage as gmu
class TestStringMethods(unittest.TestCase):
def test_get_node_data(self):
path_dir = '../test_dir2'
os.mkdir(path_dir)
path1 = os.path.join(path_dir, 'test_file1.py')
f1 = open(path1, "w+")
f1.write("# !/us... | true |
cf94fba585717e105b9bb2087c07596d895e0534 | Python | MrPx/1521006homework | /1520873-实验三/testHello.py | UTF-8 | 596 | 2.671875 | 3 | [] | no_license | import unittest
from hello import User
from hello import db
class TestHello(unittest.TestCase):
def setUp(self):
db.create_all()
def tearDown(self):
db.drop_all()
def test_creatUser(self):
a=User('shenqianqian')
self.assertEqual(a.username,'shenq... | true |
21a884cafccf86053831561a183c2fbdd6ab45d8 | Python | sid597/Nand-To-Games | /projects/08/directoryTranslator.vm.py | UTF-8 | 903 | 2.515625 | 3 | [] | no_license | import os
import inspect
class Parser:
def __init__(self, dir_name):
self.dir_name = dir_name
def parse_directory(self):
for dirpath, dirnames, files in os.walk(self.dir_name):
dir_name = dirpath.split('/')[-1]
for file_name in files:
if file_name.endswi... | true |
0fdaa85ba85d159ee63797357480c004ae5d50f4 | Python | bcogrel/webid-delegated-auth | /webid_delegated_auth/exceptions.py | UTF-8 | 3,704 | 2.59375 | 3 | [
"LicenseRef-scancode-mit-old-style",
"LicenseRef-scancode-warranty-disclaimer"
] | permissive | """
Exceptions.
Compatibility with those declared in https://auth.my-profile.eu/
"""
NO_CLAIM_CODE = "noClaim"
NO_CERT_CODE = "nocert"
CERT_NO_OWNERSHIP_CODE = "certNoOwnership"
REJECTED_CLAIM_CODE = "rejectedClaim"
CERT_WITHOUT_URI_CODE = "noURI"
EXPIRED_CERT_CODE = "certExpired"
UNDECLARED_CERT_CODE = "noVe... | true |
d958fef1388426fc3e4f7703dc8e066f49b8fba2 | Python | alfredo-gimenez/sos_flow | /src/soapy/draw.py | UTF-8 | 2,534 | 2.78125 | 3 | [
"LicenseRef-scancode-other-permissive"
] | permissive | import os
import sys
import sqlite3
import numpy as np
import pylab as pl
from data_utils import is_outlier
# name of the sqlite database file
sqlite_file = os.environ.get("SOS_LOCATION", ".") + "/" + sys.argv[1]
table_name = 'tblvals' # name of the table to be queried
print("Connecting to: ", sqlite_file)
# Conn... | true |
8dd5b717d5758d93183bc90d9e3a6c64dee6ceae | Python | MimiBambino/MachineLearning | /poi_id.py | UTF-8 | 8,911 | 2.671875 | 3 | [] | no_license | #!/usr/bin/python
import sys
import pickle
sys.path.append("../tools/")
from feature_format import featureFormat, targetFeatureSplit
from tester import test_classifier, dump_classifier_and_data
from sklearn.preprocessing import MinMaxScaler
#from sklearn.pipeline import Pipeline
from sklearn.decomposition import Rand... | true |
0d3dfc4315e122d445a741a9f63a18185ad394b4 | Python | Jav1-Mart1nez/W4-apis-project | /src/main.py | UTF-8 | 1,739 | 2.921875 | 3 | [] | no_license | import argparse
import pandas as pd
import genera_args as gen_a
def main():
# Importamos el DataFrame que queremos filtrar.
videogames = pd.read_csv("../outputs/clean_metacritic_games.csv")
args = gen_a.filtro()
release_date = args.year
platform = args.platform
genre = args.genre
metascore... | true |
d2d78c3ccb6719074eae1f8a56392bc72a90aec4 | Python | lafionium/DMI | /PYTHON/hello.py | UTF-8 | 1,120 | 2.96875 | 3 | [] | no_license | #!/usr/bin/python
# -*- coding: utf-8 -*-
#print "Hello World!"
'''
print "Here \bthe \bspaces \bare \bbackspaced."
raksta bez atstarpem \b peremesaet kursor nazad
'''
'''
print "Here \nthe \nspaces \nare \nnewlined."
piwet kazdoje slovo s novoj strocki \n
'''
'''
print "Here \tthe \tspaces \thave \thorizontal ... | true |
d132790a36b255338fb6c7c2e4d8a93672844710 | Python | LauraAndreaM/rpi-digitales3 | /led.py | UTF-8 | 294 | 3.46875 | 3 | [] | no_license | #Encender Leds por teclado
import time
import RPi.GPIO as GPIO
GPIO.setmode(GPIO.BCM)
GPIO.setup(5, GPIO.OUT)
while(True):
teclado= input("'a' encendido, 'b' apagado:")
if teclado == "a":
GPIO.output(5,True)
if teclado == "b":
GPIO.output(5,False)
GPIO.cleanup()
| true |
2b54df2fa836be9abc8153fee971373ae8101240 | Python | RenukaNaik/Python | /positiveNum.py | UTF-8 | 756 | 3.8125 | 4 | [] | no_license | #let's code loops!
#Task 2:
#Write a python program to print all positive numbers in a range
list1=[]
list2=[]
n=int(input('enter number of elements: '))
i=0
while i<n:
num=int(input())
list1.append(num)
i=i+1
print('Input list: ',list1)
for j in list1:
if(j>0):
list2.append(j)... | true |
a250484426993a385e5628dd76d9aefa54ee947b | Python | alvinwang922/Data-Structures-and-Algorithms | /Queues/Sliding-Window-Max.py | UTF-8 | 986 | 4.125 | 4 | [] | no_license | """
Given an array nums, there is a sliding window of size k which
is moving from the very left of the array to the very right. You
can only see the k numbers in the window. Each time the sliding
window moves right by one position. Return the max sliding window.
Follow up: Could you solve it in linear time?
"""
cl... | true |
c27bdd751c3061be4b4ccc0716469451078314c9 | Python | SanjitRao/multiGameApp | /Unit4Project/httpdb_data server.py | UTF-8 | 1,598 | 2.703125 | 3 | [] | no_license | import wsgiref.simple_server
import urllib.parse
from cs043_lesson2_2.database import Simpledb
def application(environ, start_response):
headers = [('Content-Type', 'text/plain; charset=utf-8')]
path = environ['PATH_INFO']
params = urllib.parse.parse_qs(environ['QUERY_STRING'])
db = Simpledb('datafi... | true |