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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
451bfa96d0af93952e584c990c03fa3d00ab6b61 | Python | amslabtech/semantickitti2bag | /utils.py | UTF-8 | 2,558 | 2.703125 | 3 | [
"MIT"
] | permissive | import numpy as np
class LabelDataConverter:
"""Convert .label binary data to instance id and rgb"""
def __init__(self, labelscan):
self.convertdata(labelscan)
def convertdata(self, labelscan):
self.semantic_id = []
self.rgb_id = []
for counting in range(len... | true |
4273ff9335ca3edc301e1295e6d7fe91cfbb5d52 | Python | kurtshiple/03-Python-Budget-and-Election-Data | /Homework3:local/python-challenge-master/PyBank/mainb.py | UTF-8 | 2,460 | 3.359375 | 3 | [] | no_license | #dependencies
import os
import csv
#this is the most effective way of reading in a csv file
csvpath = os.path.join('..','PyBank','budget_data.csv')
with open(csvpath, newline='') as csvfile:
csvreader = csv.reader(csvfile,delimiter=',')
csv_header = next(csvreader)
#print(f"CSV_Header = {csv_header}")... | true |
b51411dd4110fc14ed5e496bae62b6add9dc035e | Python | mathewssabu/luminarpythonprograms | /advancedpython/functional programming/ducktyping.py | UTF-8 | 391 | 3.453125 | 3 | [] | no_license | class Shift:
def start(self):
print("start in shift")
def accelerate(self):
print("accelerate in shift")
class Innova:
def start(self):
print("start in innova")
def accelerate(self):
print("accelerate in innova")
class Person:
def drive(self,ob):
ob.start()
... | true |
1588f115cc1be8e37087f7d1cf666cece638edc6 | Python | BigBossWill/UniversoDiscreto | /O que sao redes neurais/perceptron_video1.py | ISO-8859-1 | 2,960 | 3.90625 | 4 | [] | no_license | # -*- coding: cp1252 -*-
import numpy as np
from random import *
def escolheValoresRandomicos():
x1 = randint(0, 1) #fator dinheiro
x2 = randint(0, 1) #fator amigos/namorado(a)
x3 = randint(0, 1) #fator distncia
#quanto maior o valor, mais se motiva a ir com $$$
w1 = randint(0, 8)
... | true |
24caa7d122b22936851207020b872851d7958678 | Python | krishnapriyaps/CCA_175_Study | /pyspark/distinctField.py~ | UTF-8 | 577 | 2.96875 | 3 | [] | no_license | ## Python script to find distinct of values under a feild in csv file
from pyspark import SparkConf,SparkContext
conf = SparkConf().setAppName("Distinct Type");
sc = SparkContext(conf=conf)
dataRDD = sc.textFile("hdfs://quickstart.cloudera:8020/user/cloudera/spark/testData_customers_10.csv")
dataRDD2 = dataRDD.ma... | true |
804d619d85fc72ebd6c765d4897d71bcc48db0b4 | Python | 7nic7/Wine-Classification | /wine_AutoEncoder.py | UTF-8 | 6,108 | 2.8125 | 3 | [] | no_license | import pandas as pd
import numpy as np
from keras.models import Model
from keras.layers import Dense,Input
from sklearn import preprocessing
from keras.losses import binary_crossentropy
from keras.optimizers import adadelta
import tensorflow as tf
import matplotlib.pyplot as plt
from sklearn.metrics import roc_curve, a... | true |
25c3b325333dbbaa69470ccdf9dece5a2d985910 | Python | NSLS-II/sirepo-bluesky | /sirepo_bluesky/utils/__init__.py | UTF-8 | 838 | 2.71875 | 3 | [
"BSD-3-Clause"
] | permissive | import numpy as np
sigma_to_fwhm = 2 * np.sqrt(2 * np.log(2))
def get_beam_stats(image, x_extent, y_extent):
n_y, n_x = image.shape
image_sum = image.sum()
if image.sum() > 0:
X, Y = np.meshgrid(np.linspace(*x_extent, n_x), np.linspace(*y_extent, n_y))
mean_x = np.sum(X * image) / image... | true |
ee248e9fb1434f5d41ebb9923186a8205c7990bf | Python | trevordjones/artistic_photos | /artistic/photo/palette.py | UTF-8 | 1,057 | 2.703125 | 3 | [] | no_license | from matplotlib.colors import to_hex
import numpy as np
import pandas as pd
from pathlib import Path
from skimage import color as converter
from skimage.io import imread
from skimage.transform import resize
from sklearn.cluster import KMeans
ROOT = Path(__file__).parent
FILE_PATH = ROOT.joinpath('temp')
def palette(s... | true |
2fe93a0a293c2b4f76b5755d1d013ef03c0cc823 | Python | Soumitra-Mandal/ML-and-pyfiles | /CV(img,vid,mnist).py | UTF-8 | 5,809 | 2.90625 | 3 | [
"MIT"
] | permissive | # -*- coding: utf-8 -*-
"""
Created on Sat Jul 6 13:01:36 2019
@author: Soumitra
"""
"""
Computer Vision
conda install -c conda-forge opencv
"""
import cv2
img=cv2.imread(r"E:\wp\avengers-endgame-1920x1080-minimal-art-4k-18264.jpg")
cv2.imshow("lena",img)
cv2.waitKey(0)
cv2.destroyAllWindows()
print(im... | true |
62f5bfeaf5652b4512792dccba179fbc16813c54 | Python | LittleRichard/learntocode | /python101/006_boolean_and_if_else.py | UTF-8 | 3,362 | 4.3125 | 4 | [] | no_license | import random # import is how you tell python that you want to use a library in a script
# 'True' is a python KEYWORD, and should NEVER EVER be used as a variable
# note how the code editor uses a different color for True than print
print(f'True is {True}, duh')
# True is a 'boolean' type, in addition to the
#... | true |
4e09962f934d447c24500eb31f0d9a10555ac80f | Python | pantchayan/Chess-engine-A.I. | /stockfish_self_play.py | UTF-8 | 435 | 2.625 | 3 | [] | no_license | import chess
import chess.engine
engine = chess.engine.SimpleEngine.popen_uci(r'C:\Users\ishaa\Desktop\chess_engine\stockfish-11-win\Windows\stockfish_20011801_x64.exe')
board = chess.Board()
moves = 0
while ((not board.is_game_over()) and moves<10):
result = engine.play(board, chess.engine.Limit(time=0.1))
b... | true |
7654fb3fa8121b6efd687c21cc68cd76d3c41842 | Python | Denisfench/openclean-core | /tests/engine/object/test_vocabulary_objects.py | UTF-8 | 1,450 | 2.53125 | 3 | [
"BSD-3-Clause"
] | permissive | # This file is part of the Data Cleaning Library (openclean).
#
# Copyright (C) 2018-2021 New York University.
#
# openclean is released under the Revised BSD License. See file LICENSE for
# full license details.
"""Unit tests for (de-)serialization of controlled vocabulary handles."""
from openclean.engine.object.vo... | true |
ffa20dc6bccc548dafc1e0e6d64fb28a6e30ff5d | Python | shubhamkumar27/Leetcode_solutions | /77. Combinations.py | UTF-8 | 605 | 3.40625 | 3 | [] | no_license | '''
Given two integers n and k, return all possible combinations of k numbers out of 1 ... n.
Example:
Input: n = 4, k = 2
Output:
[
[2,4],
[3,4],
[2,3],
[1,2],
[1,3],
[1,4],
]
'''
class Solution:
def combine(self, n: int, k: int):
nums = [i for i in range(1, n+1)]
result = []
... | true |
89fd527e4b24a2843e4ae3a968dffd7b7cb34cdf | Python | ahmetzekiertem/Time-Series-Analysis-with-Python | /Recurrent Neural Network/rnn_example.py | UTF-8 | 1,875 | 2.828125 | 3 | [] | no_license | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Apr 18 18:03:48 2020
@author: mac
"""
import keras
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
df = pd.read_csv('Miles_Traveled.csv',index_col ='DATE' ,parse_dates=True)
df.index.freq = 'MS'
df.columns = ['Value']
from s... | true |
f921f2b5afb69cd4df2d24816f42bfde23d5f833 | Python | Mattielew/Python | /python_fundamentals/HW/HW19.py | UTF-8 | 1,399 | 4.09375 | 4 | [] | no_license | #!/usr/bin/python
#-*- coding: utf-8 -*-
#===============================================================================
#
# FILE: HW19.py
#
# USAGE: ./
#
# DESCRIPTION: More functions with variables and some math
#
# OPTIONS: ---
# REQUIREMENTS: ---
# BUGS: ---
# NOTES: ---
# ... | true |
9b4598940a3075ad0abc83b95840533784568738 | Python | shreyas269/programming | /problems/spoj/adding_reverse_numbers.py | UTF-8 | 364 | 3.9375 | 4 | [] | no_license | # I learnt that: Slicing in lists
def reverse(n):
n_str = str(n)
# a[start:stop:step] -> slice operator
return int(n_str[::-1])
def main():
t = int(input())
for i in range(t):
n, m = input().split()
n, m = int(n), int(m)
sum = reverse(reverse(n) + reverse(m))
print... | true |
4869b7462899e34b487c89079458629c9805a1c3 | Python | s26mehta/DataStructures | /queue.py | UTF-8 | 1,622 | 3.609375 | 4 | [] | no_license | class Queue:
def __init__(self, maxSize):
self.items = []
self.maxSize = maxSize
self.startIndex = 0
self.endIndex = 0
self.size = 0
def size(self):
return self.size
def isEmpty(self):
return len(self.items) == 0
def enqueue(self, item):
... | true |
76f79c64644649ec8b9724e02e1abd49b5b79c78 | Python | elbertHome/myStudy | /python/PycharmProjects/TestProject/flatternDict.py | UTF-8 | 798 | 2.96875 | 3 | [] | no_license | #!/usr/local/bin/python
# -*- coding: UTF-8 -*-
def flatdict(dictData, path, dictRst):
for curkey, curval in dictData.items():
if isinstance(curval, dict):
if curval:
flatdict(curval, path + curkey + "/", dictRst)
else:
dictRst[path + curkey] = ""
... | true |
73cb22f48c1b624d9d2124211c68b030ce1eba66 | Python | SaeedSarabchi/coding_interview_prep | /Chapter 1/1.py.py | UTF-8 | 897 | 3.921875 | 4 | [] | no_license | def question1(input_string):
alphabet_hash_table = {}
for ch in input_string:
char = ch.lower()
if 'a' <= char <= 'z':
if char in alphabet_hash_table:
alphabet_hash_table[char] += 1
else:
alphabet_hash_table[char] = 1
if len(alphabet_h... | true |
6b410eed7700ec99f13cc585cf32e994262c1914 | Python | sethtroisi/league-of-data | /Scripts/graph_model_stats.py | UTF-8 | 7,325 | 2.921875 | 3 | [] | no_license | import numpy as np
import matplotlib.pyplot as pyplot
from matplotlib.widgets import Slider
import random
import util
# Common styling 'Patch' for text
TEXT_PROBS = dict(boxstyle='round', facecolor='#abcdef', alpha=0.5)
# Plot general data about accuracy, logloss, number of samples.
def plotData(blocks, times, samp... | true |
3fef5d68d2a6838023c4bae498e43cee69d04fec | Python | dr-dos-ok/Code_Jam_Webscraper | /solutions_python/Problem_135/1739.py | UTF-8 | 866 | 3.46875 | 3 | [] | no_license | #!/usr/bin/env python3
################################################################################
def read_int():
return int(input())
def read_words():
return input().split()
def read_ints():
return map(int,read_words())
def read_floats():
return map(float,read_words())
#############################... | true |
834788b1c978b659ffe5e70c399cd3340c4f941c | Python | Wuuusq/python_data_structures | /DS1-introduction/jinzhi.py | UTF-8 | 3,106 | 3.921875 | 4 | [] | no_license | '''
# 十进制转二进制，除二倒序取余
from pythonds.basic.stack import Stack
def divide2(desNumber):
s = Stack()
while desNumber > 0:
rem = desNumber % 2
s.push(rem)
desNumber = desNumber//2
binString = ""
while not s.isEmpty():
binString = binString + str(s.pop())
return binStrin... | true |
f9e9d6212c138462a48611163b07dc9eafefebf6 | Python | evgenypim/python_playground | /MagicList/MagicList.py | UTF-8 | 1,588 | 4 | 4 | [] | no_license | #!/usr/bin/env python3
from dataclasses import dataclass
@dataclass
class Person:
age: int = 1
class MagicList(list):
"""MagicList class.
List like class that implements a simplified
list by skipping boundary checks when possible.
"""
def __init__(self, cls_type=None):
if (cls_typ... | true |
683eea4860bd9900fbbd5c71bc6b5fe7dbd25cc8 | Python | dkamianskii/OptimizationLabs | /Course Porject/CoursePrj.py | UTF-8 | 3,879 | 3 | 3 | [] | no_license | import numpy as np
def f(x):
return 2 * x[0] ** 2 + 3 * x[1] ** 2 + np.sin(2 * x[0] + 7 * x[1]) / 49 + 3 * x[0] + 2 * x[1]
def grad_f(x):
return np.array(
[4 * x[0] + 2 * np.cos(2 * x[0] + 7 * x[1]) / 49 + 3, 6 * x[1] + 7 * np.cos(2 * x[0] + 7 * x[1]) / 49 + 2])
def golden_slice(func, segment, eps... | true |
0361c59522f505f1b3555077ab4696d4dd95a655 | Python | darthkenobi5319/ICP-HW | /HW2/hw5.py | UTF-8 | 3,144 | 4.4375 | 4 | [] | no_license | # Homework #5
# In all the exercises that follow, insert your code directly in this file
# and immediately after each question.
#
# IMPORTANT NOTES:
#
# 1) THIS IS A PROGRAMMING COURSE. :-) THIS MEANS THAT THE ANSWERS TO THESE QUESTIONS
# ARE MEANT TO BE DONE IN CODE AS MUCH AS POSSIBLE. E.G., WHEN A QUESTION SAYS "C... | true |
5397ba9c9f8ff720ecb0d5dc35813c7d2ded4d39 | Python | yujun001/YouTube_DNN | /rank/model.py | UTF-8 | 7,938 | 2.546875 | 3 | [] | no_license | # -*- coding: utf-8 -*-
# @Time : 2017/1/10 9:12
# @Author : RIO
# @desc: 排序部分
import tensorflow as tf
from tensorflow.contrib import layers
from utils.config import SuperPrams
from rank.data_process import get_batch
from utils.utils import list2array
class Args(SuperPrams):
def __init__(self, is_training=Tru... | true |
206965da3725319f64d95b4ce0d2269b2c6315b5 | Python | DahliaSR/ChIO-Striped-Words | /striped_words.py | UTF-8 | 796 | 3.5625 | 4 | [] | no_license | import re
from string import ascii_lowercase
VOWELS = "aeiouy"
def checkio(text):
words = re.findall(re.compile(r'\b[^\W\d]{2,}\b'), text.lower())
transl_to = ''.join('1' if char in VOWELS else '0' for char in ascii_lowercase)
translator = str.maketrans(ascii_lowercase, transl_to)
translated_words = ... | true |
b055e05ef855d163d748ce7a266ca9a1249200d4 | Python | kgiroux/computer_vison | /codes/segmentation/exercises/green_screen.py | UTF-8 | 1,849 | 2.53125 | 3 | [] | no_license | import numpy as np
import cv2
import matplotlib.pyplot as plt
plt.ion()
# Open the alpaca video
gs_cap = cv2.VideoCapture('../ressources/green_screen_Alpaca.mov')
# Open the milky way video
bg_cap = cv2.VideoCapture('../ressources/milky_way.mp4')
# If you want to write the video
# ret, gs_frame = gs_cap.... | true |
18af4b6583ffaaf6860b4f066c069be0a48bc222 | Python | VizardEdward/ant-colony | /main.py | UTF-8 | 2,283 | 2.9375 | 3 | [
"MIT"
] | permissive | import os
from pathlib import Path
from dotenv import load_dotenv
from ant import Ant
from world import World
import matplotlib.pyplot as plt
def read_world():
file = open("path.in", "rt")
nodes_number, globally_pheromones, evaporation = tuple(file.readline().strip().split(" "))
world = World(int(nodes_... | true |
c571a635b984ede1eb2e5a12d90019ee00748e8b | Python | lakshay1704/Python | /alphabetic product.py | UTF-8 | 1,040 | 3.84375 | 4 | [] | no_license | '''
Problem 42. Find the alphabetic word product
Created by Cody Team in Cody Challenge
If the input string s is a word like 'hello', then the output word product p is a number based on the correspondence a=1, b=2, ... z=26. Assume the input will be a single word, although it may mixed case. Note that A=a=1 an... | true |
118fe84810c577826d551ac43de7dd0835d8c2cb | Python | Pistaco/Shogi | /src/backend/tablero/Pocisiones.py | UTF-8 | 1,342 | 2.78125 | 3 | [] | no_license | from piezas.Excepciones import Vacio
from piezas.mixin import Solicitud
class Casilla:
def __init__(self, x, y):
self.x = int(x)
self.y = int(y)
self.bando = None
self.pieza = None
self.tuple = (self.x, self.y)
@classmethod
def veryficate(clc, data, tablero):
... | true |
2ed51a4335cd8e7e889244e759de8df258371966 | Python | fsuarezj/sxmalerts | /server/alert_spider/spiders/forecast_spider.py | UTF-8 | 1,838 | 2.921875 | 3 | [] | no_license | import scrapy
class ForecastSpider(scrapy.Spider):
name = "forecast"
start_urls = [
'http://www.meteosxm.com/weather/forecast/'
]
def _parse_paragraphs(self, data, i, name):
result = ''
if data[i].xpath('.//strong[contains(., "' + name + '")]'):
# If it's not in th... | true |
01c01f1f7be608b4c355ea896ac868b20d57ddd8 | Python | jtpils/object-reconstruction | /test.py | UTF-8 | 486 | 2.640625 | 3 | [
"MIT"
] | permissive | import os
import cv2
import time
import masking
from masking import draw_mask_on_video
infile = "input.mp4"
outfile = "output.avi"
model = masking.load_model()
print("Loaded model")
cap = cv2.VideoCapture(infile)
w = int(cap.get(3))
h = int(cap.get(4))
#output = cv2.VideoWriter(outfile, cv2.VideoWriter_fourcc('M'... | true |
c376cfa2e702eeb7f48062810f2d60056f51f31f | Python | alextercete/robotcv | /computer_vision.py | UTF-8 | 4,201 | 3 | 3 | [] | no_license | import math
import cv
KEY_ESC = 27
WINDOW_MAIN = 'Camera'
class ComputerVision:
@classmethod
def get_capture(cls, camera_index):
return cv.CaptureFromCAM(camera_index)
@classmethod
def create_window(cls):
cv.NamedWindow(WINDOW_MAIN)
@classmethod
def grab_frame(cls, capture):... | true |
b7e1e661311ad889c489a36fa2fe93b63519d22d | Python | bittorf/calculusvaporis | /cavoasm.py | UTF-8 | 2,751 | 3.015625 | 3 | [] | no_license | #!/usr/bin/python
"""Assembler for the Calculus Vaporis CPU."""
import sys, re
def words(fileobj):
for line in fileobj:
line = re.sub(';.*', '', line)
for word in line.split():
yield word
instructions = { '.': 0, '-': 1, '|': 2, '@': 3, '!': 4, 'nop': 5 }
nbits = 12
def bit(n):
r... | true |
312aa0ba524c47eb0d2d970045788521a77caa01 | Python | dlcheng/Neff_Alpha | /main.py | UTF-8 | 1,443 | 2.59375 | 3 | [] | no_license | # This routine can calculate the effective index N_eff defined as
# N_eff = 3(-dlog\sigma^2(M, z)/dlogM - 1)
# The definition is consistent for scale free case of either Gaussian and Top-hat
# window function. Here we implement only the Top-hat window for general power spectrum.
# ... | true |
2b6ede1f518a78c1e10ee3fc128d87948fa84df2 | Python | kiilkim/book_duck | /pythonPractice/pnuPY/0710/choice_module.py | UTF-8 | 539 | 2.859375 | 3 | [] | no_license | import main_module as m
# 입력하고 출력을 나눠보면 된다.
#메뉴 선택 칸
def print_choice():
choice = input('''
다음 중 작업하실 메뉴를 입력하세요.
I - 고객 정보 입력
C - 현재 고객 정보 출력
P - 이전 고객 정보 출력
N - 다음 고객 정보 출력
U - 고객 정보 수정
D - 고객 정보 삭제
F - 고객 정보 검색
Q - 프로그램 종료
''').upper()
print(choice)
return choice... | true |
3b8cb38abb2e4bd9d501a9364cd95da2154c9a15 | Python | daguniko/nlp100 | /week7/py/test062.py | UTF-8 | 975 | 2.75 | 3 | [] | no_license | #! /Users/sudo/.virtualenvs/hoge/bin/python2
# -*-coding:utf-8-*-
#(62) 61で作成した各ファイルから，名詞句（文節中の名詞の連接）を抜き出して，個別のファイルに格納せよ．
#regular expression part
import CaboCha
import os
import re
#set cabocha
c = CaboCha.Parser("-f1")
files = os.listdir("../data/cabocha/");
prog = re.compile("\w.txt")
readlist = []
for file in fi... | true |
c359241d41aa512a9bb3515c758dbb0baf910a0c | Python | Improbus/DrexelCourseWork | /CS265/A2/getFlightStatus.py | UTF-8 | 2,791 | 2.984375 | 3 | [] | no_license | #!/usr/bin/python
import urllib
import sets
URL = 'http://www.phl.org/cgi-bin/fidsarrival.pl'
sock = urllib.urlopen( URL )
doc = sock.readlines()
sock.close()
AmericanFlights = []
ContinentalFlights = []
DeltaFlights = []
NorthwestFlights = []
SouthwestFlights = []
UnknownFlights = []
UsairFlights = []
FlightDictio... | true |
6b7124609896a75b9b4d5eb1ac8bd3151c8b294a | Python | MiguelCF06/holbertonschool-higher_level_programming | /0x0F-python-object_relational_mapping/2-my_filter_states.py | UTF-8 | 606 | 2.921875 | 3 | [] | no_license | #!/usr/bin/python3
"""
Script that takes in an argument and displays all values in the states table of
hbtn_0e_0_usa where name matches the argument.
"""
import MySQLdb
import sys
if __name__ == "__main__":
db = MySQLdb.connect(host="localhost", port=3306, user=sys.argv[1],
passwd=sys.arg... | true |
7da4d33a127b3f983acd77f20e0f2145b51c8b23 | Python | Hazem-Atya/learning_python | /firstProject/dictionaries.py | UTF-8 | 902 | 3.828125 | 4 | [] | no_license | d = dict()
d['name'] = 'Hazem'
d['age'] = 21
print(d)
print(d['age'])
counts = dict()
names = ['Hazem', 'Safa', 'Hazem', 'Sihem', 'Safa', 'Hazem']
# for name in names:
# if name not in counts:
# counts[name] = 1
# else:
# counts[name] = counts[name] + 1
#
# print(counts)
# Deuxième méthode
co... | true |
1a2c3d1d4e3547200ce6965c7530361d81a10643 | Python | tgfbikes/python | /CS-1410/ticketmaster.py | UTF-8 | 2,230 | 3.609375 | 4 | [] | no_license |
# Three different types of tickets: concert, movie, sporting
# All tickets have in common: price, seat number, venue(location), date, time.
# Concert tickets: artist name
# Move tickets: movie title, move rating
# Sporting tickets: 2 teams (whatever vs. whatever)
class Ticket:
def __init__(self, price, sea... | true |
865e0fb947712896209ca1660e557c5ed4f9eda9 | Python | SaraSchim/DNA-project | /analysis_commands/find_all.py | UTF-8 | 514 | 3.53125 | 4 | [] | no_license | import re
# finds all the indices where the sub-sequence appears.
class FindAll:
# data = [<seq_to_find_in>, <seq_to_be_found>]
def __init__(self, data):
self.seq_to_find_in = data[0]
self.seq_to_be_found = data[1]
def execute(self):
indexes = [m.start() for m in re.finditer('(?=... | true |
1ea1e306661498a12a11d4fb9afeaa64a91ddcaf | Python | juniortheory/python-programming | /unit-4/myfile.py | UTF-8 | 293 | 3.421875 | 3 | [] | no_license | '''
grade = 80
if grade > 80:
print("A")
elif grade >= 60:
print("B")
else:
print("C")
'''
from random import randint
answer = randint(1,10)
guess = int(input("please enter your guess: "))
if guess == answer:
print("You are correct")
else:
print("try again")
| true |
9bc5722114e80b7d67d25c76fea1d763395be175 | Python | jirka007/Don-Robot | /don/memory/redisbacked.py | UTF-8 | 1,561 | 2.609375 | 3 | [] | no_license | from don.memory import Memory as BaseMemory
import redis
class Memory(BaseMemory):
def __init__(self, cfg={}, prefix="bot"):
self.redis = redis.Redis(**cfg)
self.prefix = prefix
def load(self, dump):
obj = json.loads(dump)
for key,val in obj['me'].items():
self.rem... | true |
55ba1abbe3f853ad55bc4352193925180d9ee83c | Python | paturiku-p/workoutizer | /wizer/tests/end2end/test_end2end.py | UTF-8 | 1,323 | 2.5625 | 3 | [
"MIT"
] | permissive | import os
import time
from multiprocessing import Process
import requests
app_url = "127.0.0.1:8001"
http_url = f"http://{app_url}"
timeout = 10
def _runserver():
os.system(f"wkz manage 'runserver {app_url} --noreload'")
def _get_site_status_code(url):
return requests.get(url=url).status_code
def test_w... | true |
e6887c8ea5b0ebfaa9c4713b4d0c15e7bc18308c | Python | ausaki/data_structures_and_algorithms | /leetcode/count-number-of-teams/384466068.py | UTF-8 | 640 | 2.96875 | 3 | [] | no_license | # title: count-number-of-teams
# detail: https://leetcode.com/submissions/detail/384466068/
# datetime: Sat Aug 22 11:19:54 2020
# runtime: 88 ms
# memory: 13.9 MB
class Solution:
def numTeams(self, rating: List[int]) -> int:
n = len(rating)
result = 0
for i in range(1, n - 1):
... | true |
417a0d62feaf4c3df5f00cdcce27b3978eeb90be | Python | Chetna-Gupta/Click-Stream-data-analysis | /dw_create.py | UTF-8 | 3,221 | 2.671875 | 3 | [] | no_license | import pandas as pd
from pandas.tseries.holiday import USFederalHolidayCalendar as calendar
import numpy as np
def explore_time(ts):
day= ts.days
sec=ts.seconds
if day >= 0:
total= sec
else:
total=0
return total
def hr_func(ts):
return ts.hour
column_names_buys= ['buys_sid','... | true |
eacb6526e0b1ec28a64a901a4caaeb79a48f8ae1 | Python | Justin4587/holbertonschool-higher_level_programming | /0x11-python-network_1/7-error_code.py | UTF-8 | 320 | 3.046875 | 3 | [] | no_license | #!/usr/bin/python3
"""I'm going to put a comment here """
if __name__ == "__main__":
import requests
from sys import argv
resp = requests.get(argv[1])
stat = resp.status_code
if stat == requests.codes.ok:
print("{}".format(resp.text))
else:
print("Error code: {}".format(stat))
| true |
d78b7c2d96521995a3b35d13f4253ade9c88b7a8 | Python | Global19/rDnaTools | /src/pbrdna/fasta/utils.py | UTF-8 | 968 | 2.546875 | 3 | [] | no_license | from pbcore.io.FastaIO import FastaReader, FastaWriter
def fasta_count( fasta_file ):
count = 0
try:
for record in FastaReader( fasta_file ):
if len(record.sequence) > 0:
count += 1
except:
return 0
return count
def fasta_names( fasta_file ):
return set(... | true |
42216bcb6b83d90131b71f436a20ed3094523c2f | Python | dxaviud/mini-canvas | /draw.py | UTF-8 | 2,521 | 3.15625 | 3 | [] | no_license | from tkinter import Tk, Canvas
from PIL import ImageGrab
class Drawing():
def __init__(self):
self.__save_count = 1
def display(self):
root = Tk()
canvas = Canvas(root, width=500, height=500)
canvas.grid(row=0, column=0)
brush_shape = "square"
brush_thickne... | true |
04a5b53f8e33b344b9c265d914290e52d3a39353 | Python | Fondamenti18/fondamenti-di-programmazione | /students/1811290/homework02/program02.py | UTF-8 | 2,215 | 2.78125 | 3 | [] | no_license | def pianifica(fcompiti,insi,fout):
lista_xID=[]
import re
with open(fcompiti,encoding='utf-8') as f:
for linea in f:
stringa_caratteri_alfabetici=' '.join(re.findall("[a-zA-Z]+", str(linea)))
stringa_caratteri_numerici=' '.join(re.findall('[0-9]+',str(linea)))
... | true |
58681df844380e5b3b9ca0a2f36bc18426824a6b | Python | badmutex/wasq | /wasq/Cell.py | UTF-8 | 4,459 | 2.78125 | 3 | [] | no_license |
import pxul
import numpy as np
import itertools
import cPickle as pickle
import os
class Cells(object):
def __init__(self, initial, labels):
assert len(initial) == len(labels), '|cells| = {} but |labels| = {}'.format(len(initial),
... | true |
343b9de8ea632f55abd63004e0f59fa7aebc92ad | Python | shreya-sinha9/InternshipWork | /Automation_Work/Codes/Task5_Disc_Plot_acc_3rd_level(msg)_count/myClass.py | UTF-8 | 5,599 | 2.875 | 3 | [] | no_license | import re
import matplotlib.pyplot as plt
from collections import defaultdict
class Error:
def __init__(self, days, file):
self.days = days
self.file = file
def error_day(self, file, days, msg_counts, msg_id_link):
f = open(file, 'r')
lines = f.readlines()
f.close()
... | true |
92c88471e546fd9717ac5b41b0200a93ca2dd0c3 | Python | renovate-bot/python-game-servers | /samples/snippets/list_clusters.py | UTF-8 | 1,777 | 2.53125 | 3 | [
"Apache-2.0"
] | permissive | #!/usr/bin/env python
# Copyright 2020 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless require... | true |
d7bf182e910adad728223f3b4b45fb8e4545bc95 | Python | DeadlyShanx/CTI110 | /Turtle JJ.py | UTF-8 | 459 | 3.4375 | 3 | [] | no_license | import turtle
turtle.forward(150)
turtle.left(180)
turtle.forward(75)
turtle.left(90)
turtle.forward(150)
turtle.right(90)
turtle.forward(100)
turtle.penup()
turtle.forward(100)
turtle.pendown()
turtle.right(90)
turtle.forward(150)
turtle.left(90)
turtle.forward(75)
turtle.right(180)
turtle.forwar... | true |
25664e5046f858dd287ee7becc93d99b38855333 | Python | backtrackbaba/035-check-common-item | /build.py | UTF-8 | 181 | 2.734375 | 3 | [] | no_license | def solution(list1, list2):
for i in list2:
if i in list1:
return True
else:
return False
list1 = []
list2 = []
solution(list1, list2)
| true |
9c0117d8d101d0e590166c8eea1bf1fd02bddf00 | Python | Liszt777/leetcode | /easy/P02.py | UTF-8 | 926 | 4.15625 | 4 | [] | no_license | # 给出一个 32 位的有符号整数，你需要将这个整数中每位上的数字进行反转。
#
# 示例 1:
# 输入: 123
# 输出: 321
#
# 示例 2:
# 输入: -123
# 输出: -321
#
# 示例 3:
# 输入: 120
# 输出: 21
# 注意:假设我们的环境只能存储得下 32 位的有符号整数，则其数值范围为 [−231, 231 − 1]。请根据这个假设，如果反转后整数溢出那么就返回0
# O(logX) O(1)
class Solution:
def reverse(self, x):
"""
:param x: int
:return: in... | true |
15b90dbc505c57f19d70a6c3420dac18c4026fb9 | Python | ArpitaVB/Independent-Projects_ | /Twitter_Sentiment Analysis/Count_TweetListener.py | UTF-8 | 1,376 | 2.578125 | 3 | [] | no_license | import tweepy
import socket
import json
from tweepy import OAuthHandler
from tweepy import Stream
from tweepy.streaming import StreamListener
consumer_key='c0Vq5CO8jWx2Zs0qjLomWjiT4'
consumer_secret='ViiNIcfmmohx1wUSukbXyLw2RwwaMVWdOZ9k7bJAQrtHJYZT04'
access_token ='780368384810639360-9IpTgcFdSKxub5w90LT7gZNiEo2edjK'
... | true |
4ded9af6d1a27b2310781c536d44ace82ff013cc | Python | JorgeEstrada1/programacion | /Practico_1/Ejercicio 8.py | UTF-8 | 190 | 3.578125 | 4 | [] | no_license | num1 = int(input("Ingresa un numero: "))
num2 = int(input("Ingresa un numero: "))
num3= 0
for i in range (num1+1,num2):
i = sum(range(num1+1,num2))
num3 = i
print(f"la suma es {i}")
| true |
c58ec87069d5588d263ab6f1aef835440845b7ab | Python | dr-dos-ok/Code_Jam_Webscraper | /solutions_python/Problem_135/2397.py | UTF-8 | 492 | 3.375 | 3 | [] | no_license | #!/usr/bin/python
for i in range(int(input())):
first = int(input())
cards1 = [ map(int, input().split()) for _ in range(4) ]
second = int(input())
cards2 = [ map(int, input().split()) for _ in range(4) ]
candidate = set(cards1[first-1]) & set(cards2[second-1])
if len(candidate) == 1:
re... | true |
d029c2e79ec7e08c76614bcf8ddadc31c9657ba1 | Python | thomas-brth/ERA5_display_app | /utils/features/subpanels.py | UTF-8 | 5,769 | 2.765625 | 3 | [] | no_license | # Sub-pannels module, to be used inside main panels
#############
## Imports ##
#############
# wxPython import
import wx
# matplotlib import
from matplotlib import pyplot as plt
from mpl_toolkits.basemap import Basemap
# Other imports
import os
import json
###############
## Constants ##
###############
########... | true |
74dd1a2e20beb8eae40225d1d8a582638a6961ff | Python | mamta31/bot-o-mat | /main.py | UTF-8 | 4,190 | 3.046875 | 3 | [] | no_license | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
This Module for to select robot assign work to robot.
"""
import os
import config
import csv
import random
import time
import sys
class Main:
# init method or constructor
def __init__(self, name):
self.name = name
self.get_... | true |
7beef5c09673cc1dfb5144f97d33205f958866e6 | Python | TechAccelerator2019/PythonInjection | /Day 2/01_lists_and_dicts/04_sorting.py | UTF-8 | 414 | 4.15625 | 4 | [] | no_license | mixed_list = [5, 19, 8, 11, 14, 1, 34, 6]
# sorted() returns a new sorted list from any sequence
print(sorted(mixed_list))
# list.sort() will sort the actual list object.
mixed_list.sort()
print(mixed_list)
numbers_dict = {5: "Five", 3: "Three", 1: "One", 2: "Two", 4: "Four"}
# Print the dictionary values ordered ... | true |
4b3c947bfeeff91a0258f3c4dba698ee20da1909 | Python | gofna/Speech2Text | /Merge_xml.py | UTF-8 | 8,113 | 2.6875 | 3 | [] | no_license | import glob
import xml.etree.ElementTree as ET
import os
import csv
from operator import itemgetter
import wavSpliter
from os import listdir
import os.path
def get_id(row_attrib):
need_to_cut = row_attrib['{http://nite.sourceforge.net/}id']
lst = need_to_cut.split('.')
return int(lst[2].rep... | true |
df88466f05cede852c7c67422ae6bb743a4e3721 | Python | Jotaherrer/WebScraping | /scrapper.py | UTF-8 | 6,610 | 3.0625 | 3 | [] | no_license | from urllib import *
import datetime as dt
import pandas as pd
import os, time, urllib, xlwings as xw
from bs4 import BeautifulSoup
link = 'https://finance.yahoo.com/'
link_stock = 'https://finance.yahoo.com/quote/AAPL?p=AAPL'
"""
Pasos:
1) Import urllib
2) Request al servidor de destino
3) Indicar cual es el servido... | true |
141dafe75182a8d3c064ce2292f0c8745f871e9d | Python | ghleokim/algorithm | /190905/solvingclub_0906_rotate.py | UTF-8 | 397 | 2.921875 | 3 | [] | no_license | def rotate(B):
NB = [row[::-1] for row in [*zip(*B)]]
return NB
def myJoin(S):
return ''.join([*map(str,S)])
for T in range(int(input())):
N = int(input())
B = [[*map(int,input().split())] for _ in range(N)]
B1 = rotate(B); B2 = rotate(B1); B3 = rotate(B2)
print('#{}'.format(T+1), end... | true |
b546d47b35fd2fab5812db238fe08d12351ade5d | Python | alphacsc/alphacsc | /alphacsc/other/swm.py | UTF-8 | 5,088 | 3.1875 | 3 | [
"BSD-3-Clause"
] | permissive | """
Code adopted from Voytek Lab package neurodsp:
https://github.com/voytekresearch/neurodsp/blob/master/neurodsp/shape/swm.py
The sliding window matching algorithm identifies the waveform shape of
neural oscillations using correlations.
"""
# Authors: Scott Cole
# Mainak Jas <mainak.jas@telecom-paristech.f... | true |
c532e25f09aca4a6eb3429ea6d70d324c6c8ec4a | Python | 757217469/ML | /20210203_聚类算法/05_案例五_层次聚类(BIRCH)算法参数比较.py | UTF-8 | 2,678 | 2.828125 | 3 | [] | no_license | # coding=utf-8
from itertools import cycle
from time import time
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
from matplotlib import colors
from sklearn.preprocessing import StandardScaler
from sklearn.cluster import Birch
from sklearn.datasets.samples_generator import make_blobs
mpl.rcP... | true |
9d0fbfceadbc63b584dd5e7ef122fe55fae9f12d | Python | jh16g15/ili9341_parallel_controller | /software/convert_png_to_hex.py | UTF-8 | 1,182 | 2.8125 | 3 | [] | no_license | # Based on Ben Eater's Image conversion code seen here
# https://www.youtube.com/watch?v=uqY3FMuMuRo
from PIL import Image
IMAGE_LOC = "D:/Documents/vivado/ili9341_parallel_controller/resources/edited/"
IMAGE_NAME = "bike"
IMAGE_EXT = ".png"
IMAGE_WIDTH = 240
IMAGE_HEIGHT = 320
PADDED_WIDTH = 256 # pad out to 256 wi... | true |
ac2c55b6970d28e9bfbcade88591b1d49c229b6f | Python | wargile/learning | /Python/ami_summer_camp/math/neiron.py | UTF-8 | 1,005 | 3.46875 | 3 | [] | no_license | __author__ = 'Sergey Ivanychev'
def nersum2(x1,x2,w1,w2):
return w1*x1+w2*x2
def main():
x = []
y = []
w11 = []
w21 = []
err = 1
w11 = 0.5
w21 = 0.5
while (err>0.01) or (err < -0.01):
x = list(map(int, input().split()))
sum = nersum2(x[0],x[1], w11, w2... | true |
10211c7b1be53428f131b1ccace50608b25d2849 | Python | romanannaev/python | /1.py | UTF-8 | 265 | 2.84375 | 3 | [] | no_license | import random
def look_meh(look_meh):
return random.choice(look_meh)
spider = ["1 gold", "копыта", "ноги"]
adger = ["10 gold", "mech", "shlem"]
look = [spider, adger, adger]
pocket = []
for i in look:
pocket.append(look_meh(i))
print (pocket) | true |
a5e120edc8ece4ac3175ce1751b02cd7eac493a7 | Python | xanxerus/luna-the-giant | /Gravity.py | UTF-8 | 1,272 | 3.171875 | 3 | [] | no_license | #!/usr/bin/env pypy
'''Gravity'''
from math import radians, cos, acos, sin, sqrt
#givens
LUNAR_SCALE_FACTOR = 1.448417e+08
female_height = 1.622
mass = 1.570981e+26
female_mass = 51.7
furman_lat, furman_lon = radians(34.922753), radians(-82.441248)
utd_lat, utd_lon = radians(32.989924), radians(-96.751620)
earth_r... | true |
86ea42e0ece7b46b82e7fac3f1dfbba89d1acdb2 | Python | PranavSPandya/Python-Scripting-Commands | /Control Loops.py | UTF-8 | 1,023 | 3.9375 | 4 | [] | no_license | #Loop Commands
i=10
'''
print("A")
"label1": print("label1")
goto label1
print("Ahead of label1")
while i>00:
print("This is",i)
i-=1
if i==7:
print("Continue")
continue
print("It will continue the iterat... | true |
a9a185db06734412b40fa5d288afdacf73ad1eee | Python | saviola777/userdocker | /userdocker/helpers/cmd.py | UTF-8 | 2,113 | 2.84375 | 3 | [
"MIT"
] | permissive | # -*- coding: utf-8 -*-
from ..config import ARGS_ALWAYS, ARGS_DEFAULT
from .logger import logger
from .parser import split_into_arg_and_value, join_arg_and_value
def init_cmd(args) -> list:
"""Initialize the command.
The command is built using
- executor and subcommand,
- ARGS_ALWAYS,
- user ar... | true |
0cf82effa257624bc9bdea25f3a85c28b2d26644 | Python | iyinyueweb/iyinyue | /boxes/start.py | UTF-8 | 9,566 | 2.984375 | 3 | [] | no_license | __author__ = 'Administrator'
import pygame
from pygame.locals import *
from sys import exit
from boxes.vector import Vector
sprite_image_filename = 'img/2.png'
background_image_filename = 'img/1.png'
mouse_image_filename = 'img/2.png'
SCREEN_SIZE = (640, 480)
def hello_world():
pygame.init() # 初始化
screen =... | true |
fe3d15c7803b48edcc182fc45e782c48f5e5af87 | Python | Carlloos-Sillva/Linguagem-de-Programacao-Python-LISTA-2 | /Calculadora.py | UTF-8 | 1,114 | 4.5 | 4 | [] | no_license | # Calculadora em Python
operacao = ''
while operacao != "sair":
print()
operacao = input(" Qual operacao desejada - soma, sub, mult, div ou sair: ")
if operacao == "sair":
break
numero_1 = float(input(" Digite primeiro número: "))
numero_2 = float(input(" Digite segundo número: "... | true |
d84b4f457d2f03448380df0720e32477306613c5 | Python | Den4200/pyfrost | /frost/server/storage/base.py | UTF-8 | 5,533 | 3.234375 | 3 | [
"MIT"
] | permissive | import json
from typing import Any, Dict, Optional
from frost.server.storage.exceptions import DuplicateValueError
class Base:
"""The base model for data storage.
"""
@classmethod
def search(cls, item: Any) -> Any:
"""Searches the saved data for a specific item.
:param item: The ite... | true |
e3c7ac4ff98dfe803ddd05ed784f2f492b4a2919 | Python | 1lilyal1/SearchImageFragment | /SearchImageFragment/SearchImageFragment.py | UTF-8 | 1,798 | 2.625 | 3 | [] | no_license | from PIL import ImageGrab
import os
import time
import cv2
import numpy as np
import time;
from tqdm import tqdm
# Search for an image by fragment
# Поиск изображения
# SoursePicture - большое изображение в котом введётся поиск по фрагменту
# template - фрагмент
def FindImage(SoursePicture, template):
img_rgb =... | true |
a28c6a2beae5ecffc6376b27ece80701008a10c7 | Python | lluxury/codewars | /Digital Root.py | UTF-8 | 873 | 4.03125 | 4 | [
"MIT"
] | permissive | from functools import reduce
def digital_root(n):
'''
>>> digital_root(942)
15
'''
if n < 10:
return n
mylist = list(str(n))
sum = reduce(lambda x, y: int(x)+int(y), mylist)
return digital_root(sum)
# reduce 不再是基本函数,需要导入
# map 接收函数,序列,反回数列 map(f, [1, 2... | true |
7e0ceef8454ab83f57bc022cf126b5477f0602c1 | Python | dairantzis/BBK_Introduction-to-Computer-Systems_2021 | /Week 06/Week 6_Exercise 2.6.1_Marathon example.py | UTF-8 | 854 | 3.921875 | 4 | [] | no_license | # Marathon training assistant.
import math
# This function converts a number of minutes and seconds into just seconds.
def total_seconds(min, sec):
return min * 60 + sec
# This function calculates a speed in miles per hour given
# a time (in seconds) to run a single mile.
def speed(time):
return 3600 / time
... | true |
dea93676ed962d2b609f3927b59060e7509ffd82 | Python | fp-computer-programming/cycle-3-labs-p22jdiao | /lab_5-1.py | UTF-8 | 176 | 2.796875 | 3 | [] | no_license | # Author: JD 10/04/2021
# int(a)
# NameError
# int("a")
# ValueError
# "a" + 2
# TypeError
# import date
# ModuleNotFoundError
# print("I am a happy camper!)
# SyntaxError | true |
46807daad9826571a143597d8fa7691919fd6015 | Python | mariusbrataas/pistachio | /testing_data/quicktest_data.py | UTF-8 | 948 | 3.03125 | 3 | [
"MIT"
] | permissive | import numpy as np
def non_sequential():
x = np.array([[0,0,0,0,0,0,0,0,0,0],
[1,1,1,1,1,1,1,1,1,1],
[1,0,1,0,1,0,1,0,1,0],
[0,1,0,1,0,1,0,1,0,1]])
y = np.array([[0,1,0,1,0,1,0,1,0,1],
[0,0,1,1,0,0,1,1,0,0],
[0,0,0,1,1,1,0,0,0,1],
... | true |
a135cce717d46795b63fe654da654bc752afee2b | Python | zhangrui1997/Verificationcode | /image/getimage.py | UTF-8 | 475 | 2.515625 | 3 | [] | no_license | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2018/1/8 16:23
# @Author : 张瑞
# @Site :
# @File : getimage.py
# @Software: PyCharm
import requests
import time
def getimg():
url = 'http://xk1.ahu.cn/CheckCode.aspx'
for i in range(20):
print('正在下载{}张验证码:'.format(i+1))
vcode = re... | true |
e7a81736c57f0502636af3b24b9968df9013d505 | Python | alex3kv/PythonWebinar | /Lesson6/Task4.py | UTF-8 | 4,454 | 3.84375 | 4 | [] | no_license | # Реализуйте базовый класс Car. У данного класса должны быть следующие
# атрибуты: speed, color, name, is_police (булево). А также методы: go, stop,
# turn(direction), которые должны сообщать, что машина поехала, остановилась,
# повернула (куда). Опишите несколько дочерних классов: TownCar, SportCar,
# WorkCar, Poli... | true |
f76f1054d5faa9c84af42efb0703274467cbeb6a | Python | nickyd88/esports-dfs | /matchup_tests.py | UTF-8 | 3,318 | 2.515625 | 3 | [] | no_license | import pandas as pd
from data_cleaner import GetAllRecent
from position_model import CreateExpectedValueFunctionByCol
from agg_functions import GetWeightedFptAverages
from namemap import GetNameMap
from starters_reader import getStarters
import csv
df = GetAllRecent()
df['position_weight'] = 1
pos_avg_weights = GetWe... | true |
6edcfed7a39467e8754ce1555c7784b3993452d7 | Python | erfaliel/learn_python | /2-Iterations_et_Comprehensions__Basic__/iterators.py | UTF-8 | 421 | 3.84375 | 4 | [] | no_license | # parcourir une liste
print("Parcours d'une liste: ")
liste =[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
for elem in liste:
print(elem)
# parcourir une chaine avec filtre
print("\n Parcours d'une chaine avec filtre: ")
chaine = "Bonjour les ZER0S"
for lettre in chaine:
if lettre in "AEIOUYaeiouy": # si lettre est une voyelle
... | true |
11768592dd6a4af6859a1db3ff2ba39320498f04 | Python | SpaceAzur/smartsolman_api | /data/dev/SparseMatrixSimilarity/full_model2/pretreatment_MatrixSimilarityCy.py | UTF-8 | 14,332 | 2.515625 | 3 | [] | no_license | # -*- coding: utf-8 -*-
from gensim import corpora, models, similarities
from collections import defaultdict
import scipy
import os, sys, pandas as pd, numpy as np, time, json, pickle, marshal, csv, re, unidecode, Levenshtein
from operator import itemgetter
import heapq, scipy.sparse, math, random
from classes.normalis... | true |
135096758479789c7c038aee3f6bcbef84beb5ee | Python | msaidzengin/pythonEgitimi | /10-PDF and CSV files/03-jsonFiles.py | UTF-8 | 367 | 2.96875 | 3 | [] | no_license | import json
colors = {
'red': 'kırmızı',
'green': 'yeşil',
'blue': 'mavi',
'yellow': 'sarı',
'orange': 'turuncu',
'purple': 'mor'
}
with open('colors.json', 'w', encoding='utf-8') as f:
json.dump(colors, f, ensure_ascii=False, indent=4)
with open('colors.json', 'r', encoding='utf-8') as... | true |
5d8c4b4fe896d8340f277cad8b307f5105d1ba6d | Python | Zahidsqldba07/python_exercises-1 | /exercise_17.py | UTF-8 | 288 | 4 | 4 | [
"MIT"
] | permissive | '''
Write a Python program to test whether a number is within 100 of 1000 or 2000
'''
def near_thousand(num):
return ((abs(1000 - num) <= 100) or (abs(2000 - num) <= 100))
print(near_thousand(1100))
print(near_thousand(1230))
print(near_thousand(2000))
print(near_thousand(1980))
| true |
e16bad6ee1d3208a5c6a24e3569ca9747e98593b | Python | nimra/module_gen | /nodes/Ramsundar18TensorFlow/C_Chapter2/A_IntroducingTensors/C_Tensors/index.py | UTF-8 | 7,774 | 3.59375 | 4 | [] | no_license | # Lawrence McAfee
# ~~~~~~~~ import ~~~~~~~~
from modules.node.HierNode import HierNode
from modules.node.LeafNode import LeafNode
from modules.node.Stage import Stage
from modules.node.block.CodeBlock import CodeBlock as cbk
from modules.node.block.ImageBlock import ImageBlock as ibk
from modules.node.block.MarkdownB... | true |
f7533202ee943c410c4dfb61624ccdcab73dbf39 | Python | stcolema/BIF30806_AdvBioinformatics | /Rosalind/Prob 4 - Reverse Complement/reverse_complement.py | UTF-8 | 717 | 3.765625 | 4 | [] | no_license | #!/usr/bin/env python3
import sys
def reverse_complement(sequence, DNA = True):
"""Finds the reveerse complement of a DNA or RNA sequence.
Key inputs:
sequence --- a nucleic acid sequence with each base represented
by single characters.
DNA --- a boolean denoting sequence being DNA or RNA (false is RNA).
"""
... | true |
9847373aa0a085ed9df6840ae368b9ecd823ac85 | Python | tanjinP/corrections | /frontend/tests/test_user_repository.py | UTF-8 | 2,107 | 2.671875 | 3 | [] | no_license | import unittest
import boto3
from moto import mock_dynamodb2
from lib.data.user_repository import UserRepository
def create_mock_user_table(dynamodb):
table = dynamodb.create_table(
TableName='UserMock',
KeySchema=[
{
'AttributeName': 'username',
'KeyType': 'HASH... | true |
d7728ef8eb1c0b60ee32cd191b9fcb369cc4deca | Python | zzhu24/Data-Mining-Project | /zzhu24_assign4/code/DecisionTree.py | UTF-8 | 7,094 | 3.21875 | 3 | [] | no_license | """
Name: Zhiyu Zhu
NetID: zzhu24
"""
"""
Used Python3 in this file:
Command Used as:
python3 DecisionTree.py training-file test-file
"""
"""
Used the structure of Binary Tree!!!!
"""
import os
import sys
"""
Following two function to find the gini index value for splitting attribute:
"""
def single_gini(training_... | true |
418f1ccd2372b60d559b35c4176672709cbc9a3a | Python | omer19-meet/meet2017y1lab4 | /fruit_sorter.py | UTF-8 | 238 | 3.3125 | 3 | [
"MIT"
] | permissive | n_frt = input('what fruit am I storing?')
if n_frt == 'apple':
print(' Bin 1')
elif n_frt == 'orange' :
print('Bin 2')
elif n_frt == 'olive':
print( 'bin 3')
else:
print('i dont recognise this fruit :-( , try again')
| true |
d1669717d0683a464d8f1e9cb10cfd94d3d6e796 | Python | paulofreitas/lab | /codegolf/python/prime-factors.py | UTF-8 | 158 | 2.671875 | 3 | [] | no_license | x=raw_input();n=int(x);f=[];c=f.count;d=2
while n>1:
while n%d==0:f+=[d];n/=d
d+=1
print x+':',' '.join((`n`,`n`+'^'+`c(n)`)[c(n)>1]for n in sorted(set(f))) | true |
5eb8660ef9a553bdd8e098b9c9903a52d37d0c9b | Python | kjx336/Sparkle | /ClassLib/Messageset.py | UTF-8 | 621 | 3.046875 | 3 | [
"MIT"
] | permissive | class MessageSet():
def __init__(self,messagelist):
self.score = 0
self.MessageList = messagelist
self.host=self.MessageList[0].host
self.number=self.MessageList[0].number
def __str__(self):
return "host: " + self.host + "\nmessagelist: " + str(len(self.MessageList)) + " ... | true |
513155c3430827e4b3b1dcfd44d98c4d709b1d41 | Python | yingsihao/image-vae | /data.py | UTF-8 | 1,969 | 2.53125 | 3 | [] | no_license | import os
import pickle
import numpy as np
from torch.utils.data import Dataset
from hparams import hp
from utils.shell import mkdir
def truncate_data(inputs):
outputs = []
for data in inputs:
if len(data) < 16 or len(data) > hp.max_length:
continue
data = np.minimum(data, 1024)
... | true |
c950605e19169e2373df88f884874b5c0e26a34e | Python | AEADataEditor/replication-template | /tools/csv2md.py | UTF-8 | 723 | 3.1875 | 3 | [
"CC-BY-4.0"
] | permissive | #!/usr/bin/python3
# Tool to convert arbitrary CSV to Markdown
import csv
import os
import sys
# get the CSV filename from the first command-line argument
csv_file = sys.argv[1]
# derive the Markdown filename from the CSV filename
md_file = csv_file.replace('.csv', '.md')
# read the CSV file using csv.DictReader
wi... | true |
e62010e416af12036ee52c10de66b0d4076e35f0 | Python | banana6742/machinelearning | /2_html.py | UTF-8 | 3,058 | 2.640625 | 3 | [] | no_license | #import the BS4
from bs4 import BeautifulSoup
#import the web scraping example htmlxfile as per your location
Hfile ="C:/Users/banan/Desktop/webscrape/webhtml.html"
with open(Hfile,"r") as organization:
soup = BeautifulSoup(organization,"html.parser")
#view the contents from the soup
print(soup.contents)
#sear... | true |