blob_id large_string | repo_name large_string | path large_string | src_encoding large_string | length_bytes int64 | score float64 | int_score int64 | detected_licenses large list | license_type large_string | text string | download_success bool |
|---|---|---|---|---|---|---|---|---|---|---|
bc4dc26b1df7b95b966a33306ef2bec786d81b0e | diegom626/dmm_pyapps | /py-scripts/week9/ex2_oop.py | UTF-8 | 1,310 | 3.1875 | 3 | [] | no_license | #!/usr/bin/env python
import re
def find_uptime_field(a_pattern, uptime_str):
'''
If there is a match return the match group(1)
Else return 0
'''
a_check = re.search(a_pattern, uptime_str)
if a_check:
return int(a_check.group(1))
else:
return 0
class Uptime(object):
... | true |
23b78d8aabaf3fa6d57af9a2ac517eb07adb7d62 | myriad-opensource/samwell | /samwell/sam/clipping.py | UTF-8 | 17,635 | 3.21875 | 3 | [
"MIT",
"Python-2.0"
] | permissive | """
Utility Functions for Soft-Clipping records in SAM/BAM Files
------------------------------------------------------------
This module contains utility functions for soft-clipping reads. There are four variants
that support clipping the beginnings and ends of reads, and specifying the amount to be
clipped in terms... | true |
cfc60f313e53e0f24e20ce99b9f5f28213357006 | futrica/python_4_zombies | /exercicios/exercicio04_joaomarcelo_05.py | UTF-8 | 930 | 3.515625 | 4 | [] | no_license | import string
texto = """The Python Software Foundation and the global Python
community welcome and encourage participation by everyone. Our community is based on
mutual respect, tolerance, and encouragement, and we are working to help each other live up
to these principles. We want our community to be more diver... | true |
a08ffcfafee5427d88ec62dfeb430cc9020deecf | ccie11292/pyneta | /lab4-7.py | UTF-8 | 530 | 2.8125 | 3 | [] | no_license | import textfsm
from pprint import pprint
text_file = "lab4-2_show_int_status.txt"
template_file = "lab4-2_show_int_status.tpl"
with open(text_file) as f:
show_int_status = f.read()
with open(template_file) as template:
fsm = textfsm.TextFSM(template)
result = fsm.ParseText(show_int_status)
print(fsm.h... | true |
9a5b6d10face7b5ce2efeffa40458d1bbe8b5177 | marcjoos-phd/pymisc | /factory/factory.py | UTF-8 | 3,678 | 3.4375 | 3 | [] | no_license | #!/usr/bin/env python
#===============================================================================
#> \file factory.py
## \brief
## \b Class factory in Python
## \author
## Marc Joos <marc.joos@gmail.com>
## \copyright
## Copyrights 2019, Marc Joos
## This file is distributed under the CeCILL-A & GNU/GPL licenses, ... | true |
7503115192ece3c30aa9a47d15e54b639a8776f5 | jonathabsilva/ProgISD20202 | /Jonatha/Aula 03/Atividade Contextualizada/Questao 02/AtividadeContextualizada.py | UTF-8 | 15,958 | 3.140625 | 3 | [] | no_license | from os import system
system('clear')
resolucao = 128
tipoCelula = 'eucarionte'
reagente = 'Tipo 1'
interruptorArgonio = False
startSystem = False
larguraLasers = 7 # 7~10nm
digitalOffSet = 0
digitalGain = 0
speedAquisicao = 20
salvarFile = '/Documents'
print('Esse programa tem como objetivo receber dados para autom... | true |
7772c5f1d44c6e083e2bfdc9a6ae453999f48baf | hunterachieng/python_class | /car.py | UTF-8 | 403 | 3.40625 | 3 | [] | no_license | class Car:
model = "Toyota"
def __init__(self,color,mileage,material):
self.color = color
self.mileage = mileage
self.material = material
def new_car(self):
return f"I just bought a new {self.model} that has a mileage of {self.mileage} liters/km"
def car_material(self):
... | true |
5561bc09e7df3dae5e18739c994421c20623cad0 | AndreGuerra123/exercises | /exercises/solution.py | UTF-8 | 7,521 | 2.890625 | 3 | [] | no_license | import csv, json, tempfile, statistics
HEADER = ['experiment_name', 'sample_id','fauxness','category_guess']
CATEGORY = ['real','fake','ambiguous']
FORMATS = ['csv','json','dict']
class FauxDialect(csv.Dialect): # This could be further improved to improve the robustness of Faux files.
delimiter = ',' # Required
... | true |
d90b8ab73008dfe44f8fdc90b8a2dbee13898d51 | hevi9/etc-python | /gtk3/learngtk/recentchooserwidget.py | UTF-8 | 695 | 2.703125 | 3 | [] | no_license | #!/usr/bin/env python
from gi.repository import Gtk
def retrieve_info(button):
selection = recentchooser.get_current_item()
print("Display name: %s" % selection.get_display_name())
print("File URI: %s" % selection.get_uri())
print("Last application: %s" % selection.last_application())
window = Gtk.Wi... | true |
31e2ec66d5f5731d59acd4f2acb0aadc8cd9cb5d | ShubhrikaSehgal/IR_Project | /src-folder/PreProcessData/Processing.py | UTF-8 | 857 | 3.0625 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Tue Nov 16 02:51:32 2020
@author: shubhrika
"""
#File locations
import Classes.Path as Path
#Tokenizer
from nltk.tokenize import RegexpTokenizer
#Stemmer
from nltk.stem import SnowballStemmer
class Processing:
def __init__(self):
self.tokenizer = RegexpTokenizer(r'\... | true |
35c5f97a82af535f1a0c6a0159fd122fd8cfdade | dr-dos-ok/Code_Jam_Webscraper | /solutions_python/Problem_136/1064.py | UTF-8 | 448 | 3.109375 | 3 | [] | no_license | f=open("txt","r")
cases=int(f.readline())
i=0
while(1):
clock=0
arr1= f.readline().split()
C=float(arr1[0])
F=float(arr1[1])
X=float(arr1[2])
incr=2
cks=0
while(1):
if(float(X)/incr>((float(C)/incr)+(float(X)/(incr+F)))):
clock+=(C/incr)
incr+=F
else:
break
final_t... | true |
8786b080112a3f7d00056cb4966b987d02122402 | eleven1234567/public_git | /api_test_3/public/do_mysql.py | UTF-8 | 1,361 | 2.8125 | 3 | [] | no_license | #操作mysql
# pymysql 安装： pip install pymysql
# mysql 安装：pip install mysql-connector -python
import pymysql
# from mysql import connector
from public import read_path
from public.read_conf import ReadConf
class DoMysql:
#操作数据库的类，专门进行数据库的读取
def do_mysql(self,query,flag=1):
'''
:param query: sql查... | true |
9cbee056c588b335f7db1cc4ca5e013278b809dc | Laucr/LeetCode_s2 | /easy/evaluate_reverse_polish_notation.py | UTF-8 | 700 | 3.796875 | 4 | [] | no_license | def evalRPN(tokens):
"""
:type tokens: List[str]
:rtype: int
"""
stack = []
def calc(op2, op1, operator):
if operator == '+':
return op1 + op2
if operator == '-':
return op1 - op2
if operator == '*':
return op1 * op2
if operato... | true |
675c91defe39b4ad556524255fb3fc56f9809622 | chandan-n-bhat/python-oop | /excercises/3-abstraction-and-encapsulation.py | UTF-8 | 1,367 | 4.125 | 4 | [] | no_license | class Car_Rental:
def __init__(self):
# Why car_type is instance attribute? Cause rent may vary for different Car Rental company. Here Hardcoded for simplicity
self.car_type = {"Hatchback":30,"Sedan":50,"SUV":100}
def calculate_fare(self,car,days):
if car not in self.... | true |
1f7d547227cac1defb8a63022d4bab4704219e79 | Brow71189/extensions | /DoubleGaussianFilter_AM/DoubleGaussianFilter.py | UTF-8 | 20,731 | 2.5625 | 3 | [] | no_license | """
Double Gaussian Filter.
Implemented as an operation that can be applied to data items.
This code is experimental, meaning that it works with the current version
but will probably not work "as-is" with future versions of the software.
"""
# standard libraries
import gettext
import mat... | true |
225a172170dc1d25cc8bde36c52bac980fae1144 | AK-1121/code_extraction | /python/python_14179.py | UTF-8 | 160 | 2.84375 | 3 | [] | no_license | # Why does Popen.communicate() return b'hi\n' instead of 'hi'?
print(subprocess.Popen("echo -n hi", \
shell=True, stdout=subprocess.PIPE).communicate()[0])
| true |
4efdf220cdd9783281ef9071431ac38b349fb5e3 | BaptisteDeslaurier/Generateur-PL | /monPackage/temps.py | ISO-8859-1 | 1,102 | 3.609375 | 4 | [] | no_license | '''
Created on 12 nov. 2014
@author: Baptiste 'MagiKarpe' Deslaurier, Clment 'cLESE' Sebillet
'''
import logging
def VerifTps(temps):
'''
Vrifie le temps de la playlist que a saisi l'utilisateur l'appel de l'application
@param temps : le temps de la playlist que a saisi l'utilisateur l'appel de l'appli... | true |
32e79a3f41e5fafe2636190d053b715884d9bfa2 | Aasthaengg/IBMdataset | /Python_codes/p02952/s393705023.py | UTF-8 | 191 | 3.1875 | 3 | [] | no_license | a=int(input())
if a<10:
print(a)
if 10<=a<100:
print(9)
if 100<=a<1000:
print(9+a-99)
if 1000<=a<10000:
print(909)
if 10000<=a<100000:
print(909+a-9999)
if a==100000:
print(90909) | true |
bd544027cb51b0418233dea4ef0bab721122119e | japablaza/python | /2020/pws/ppfl.py | UTF-8 | 664 | 3.640625 | 4 | [] | no_license | #!/usr/bin/env python3
''' for-loop'''
for a in range(10):
print(a)
texto = 'Vamos a la playa, oh oh oh!!'
for txt in texto:
if txt == ' ':
print('!!')
continue
print(txt)
for w in range(1, 10, 3):
print(w)
n = 'loro'
for e in range(4):
for e in n:
print(e)
print('Nex... | true |
503c87b127429a85c5067ecda264013490a3d4ef | david8z/alg-practicas | /utils/test_all.py | UTF-8 | 681 | 2.828125 | 3 | [] | no_license | # -*- coding: utf-8 -*-
import re
import os
from multiprocessing import Process
from multiprocessing import Pool
import sys
sys.path.append('../')
def execute( tarea, distance):
os.system( "python3 ../%s/leer_resultados.py %s -nv" % (tarea, distance))
if __name__ == "__main__":
"""
Encargado de ha... | true |
330c7726b90ef069dba7ad3d85341027755a0e18 | HJ23/Algorithms-for-interview- | /RadixSort/sort.py | UTF-8 | 697 | 3.265625 | 3 | [] | no_license | from count import counting_sort
def radix(arr=[12,34,657,12,0,1,2,444]):
maxi=len(str(max(arr,key=lambda x:len(str(x)))))
for x in range(maxi):
tmp=[]
keys={0:[]}
for element in arr:
if(len(str(element))-1<x):
keys[0].append(element)
tmp.append(0)
elif(... | true |
ba45bd2eb52b7370044193165e96889d47b36a21 | ozkansen/go_python_struct | /MixedStruct.py | UTF-8 | 888 | 2.703125 | 3 | [] | no_license | from ctypes import c_int, CDLL, Structure, c_void_p, c_double, c_long, POINTER
import numpy as np
from numpy.ctypeslib import ndpointer
GO = CDLL("MixedStruct.so")
# Create an object to capture the struct
class MixedStruct(Structure):
_fields_ = [("length", c_int), ("data", c_long)]
# Define the arg and return ... | true |
08dd413e4eab54402abb04e890ab9fe99dcb18b3 | ctensmeyer/formCluster | /preprocessing/image/median_driver.py | UTF-8 | 397 | 2.71875 | 3 | [] | no_license |
import Image
import imageutils
import sys
def main(input_image, output_image):
print input_image
im = Image.open(input_image)
im = imageutils.median_filter(im, 15, 3)
im.save(output_image)
print 'done'
if __name__ == "__main__":
if len(sys.argv) < 3:
print "[input_image output_image]"
exit()
input_image... | true |
23c94bb9bfb959331ece07328458f3ef41021bb2 | kolusask/emmaa | /emmaa/tests/test_gene_list_prior.py | UTF-8 | 463 | 2.515625 | 3 | [
"BSD-2-Clause"
] | permissive | from emmaa.priors import SearchTerm
from emmaa.priors.gene_list_prior import GeneListPrior
def test_get_search_terms():
gp = GeneListPrior(['BRAF'], 'braf', 'BRAF model')
assert gp.name == 'braf'
assert gp.human_readable_name == 'BRAF model'
st = gp.make_search_terms()
assert st
assert all([is... | true |
9aec621c772fb220b31432e7d8b7af9250d311cc | lordtang/spider | /get_ip.py | UTF-8 | 1,164 | 3.125 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Sat May 11 23:25:50 2019
@author: T
"""
import requests
import re
import csv
import random
def get_ip():
url = "https://www.xicidaili.com"
headers = {
"Accept-Encoding":"gzip",
"User-Agent":"Mozilla5.0/"
}
proxies = {"http":"121.233.206.44:99... | true |
e1048d3958bfff5153b37e1abb1a8696d98abd81 | ajayyadavay/STEADY_INFILTRATION_MODEL | /Steady_Infiltration_Model.py | UTF-8 | 3,191 | 2.90625 | 3 | [] | no_license | from numpy import *
import matplotlib.pyplot as plotting
global characteristics
global number_of_data, answer
f = open("INPUT.txt", "r")
print("\t\tSTEADY INFILTRATION MODEL (SIM) \n")
for line in f:
characteristics = line.split(',')
number_of_data = len(characteristics)
print("Total number of data = ", ... | true |
575cd06d9571253845dc158d7263c93c6b6fba68 | mtwlg/exploitsearch | /exploitsearch.py | UTF-8 | 5,436 | 2.640625 | 3 | [
"Apache-2.0"
] | permissive | import re
import ast
import time
import urllib
import requests
import argparse
import webbrowser
import bs4 as bs
from rich.table import Table
from bs4 import BeautifulSoup
from urllib.parse import quote
from urllib.parse import unquote
from rich.console import Console
text_list = []
url = 'https://www.pwnwiki.org/i... | true |
eb83a8ed7bd6b55b9b3a8738ad73166ea2fc8333 | underbais/CSHL_python2017 | /python6_problemset/1.py | UTF-8 | 294 | 3.25 | 3 | [] | no_license | #!/usr/bin/env python3
import re
with open("Python_06_nobody.txt", "r") as nobody:
for line_num,line in enumerate(nobody):
line = line.rstrip()
for match in re.finditer(r"Nobody", line):
print("Number of matching line:",line_num+1,match,'Start:',match.start(), 'End',match.end())
| true |
ef633f74a9b32efa45d6b86d84e99353f8cd2e9f | benrobinson88/CitiBike-Usage-Analysis | /citibikeTest.py | UTF-8 | 821 | 2.65625 | 3 | [] | no_license | #Packages
import pandas as pd
import urllib2
import simplejson as json
from collections import defaultdict
import subprocess
from datetime import datetime
#Point to the data
url = 'https://gbfs.citibikenyc.com/gbfs/en/station_status.json'
page = urllib2.urlopen(url)
content = page.read()
result = json.... | true |
6ebe066f288e1f12b91f7b13cc53c2fcbe4232e2 | rabernat/parcels | /parcels/kernels/diffusion.py | UTF-8 | 1,824 | 2.84375 | 3 | [
"MIT"
] | permissive | """Collection of pre-built diffusion kernels"""
from parcels import rng as random
import math
__all__ = ['BrownianMotion2D', 'SpatiallyVaryingBrownianMotion2D']
def BrownianMotion2D(particle, fieldset, time, dt):
"""Kernel for simple Brownian particle diffusion in zonal and meridional direction.
Assumes tha... | true |
c29aba69970bab1702a8b421c1304f600df2a2e3 | yogeshmj/mne-torch | /common.py | UTF-8 | 5,717 | 2.84375 | 3 | [] | no_license | # Authors: Alexandre Gramfort <alexandre.gramfort@inria.fr>
# Jean-Rémi KING <jeanremi.king@gmail.com>
#
# License: BSD Style.
import copy
import numpy as np
from tqdm import tqdm
import torch
import torch.nn.functional as F
from torch.utils.data import Dataset
from torch.utils.data.dataset import ConcatDa... | true |
edd07a37da565e8be529920584a1c2ea87b4806e | chorna-popka/wortkarte | /google_t.py | UTF-8 | 817 | 2.75 | 3 | [] | no_license | import six
import os
from google.cloud import translate_v2 as translate
basedir = os.path.abspath(os.path.dirname(__file__))
json_file = os.path.join(basedir, 'static/files/Word-cards-c28ca42966b3.json')
def translate_text(target, text):
"""Translates text into the target language.
Target must be an ISO 639... | true |
d0c66b2da346c5b7baafa55b740215b3521a8171 | LaurenceGA/programmingProjects | /python/UoA/215/AS2/CrackManyTimePad.py | UTF-8 | 2,518 | 2.515625 | 3 | [] | no_license | #!/usr/bin/env python
from sys import stdout
__author__ = 'Laurence Armstrong'
authorship_string = "{} created on {} by {} ({})\n{}\n".format(
"CrackManyTimePad.py", "7/03/16", __author__, 15062061, "-----" * 15) \
if __name__ == '__main__' else ""
stdout.write(authorship_string)
encrypted_text = """\
140... | true |
f7738fb2fbfcb990e77dc3078e0418f8e5a547c8 | Jonnty/vbf | /vbf.py | UTF-8 | 1,351 | 3.015625 | 3 | [] | no_license | #! /usr/bin/python
# vbf.py - a tape-based visual brainfuck interpreter
import sys, time
from tape import Tape, Tapes, TapeError
f = open(sys.argv[1])
program = [c for c in f.read() if c in "<>,.-+[]"]
f.close()
prog_tape = Tape(program, right_infinite=False)
data_tape = Tape([0], 3)
tapes = Tapes((prog_tape, data... | true |
668c2b4462ee2ac293e3d9c85278ede3f5180437 | ChrisMattSam/sql_meets_python | /db_connection_test.py | UTF-8 | 988 | 2.875 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Fri Jul 3 09:17:19 2020
@author: Christopher Sampah
The goal is to open and close a connection to the database to test whether the
machine is connected to the lia VPN.
"""
from time import time
t1 = time()
from misc_fxns import set_local_variables
import update_dependency_track... | true |
fdd7dcce48860fd5a809609903e4097296e116ab | KrystianKierklo/-Data-visualization---exercise-codes | /LAB_03/Code_3/main.py | UTF-8 | 2,903 | 3.765625 | 4 | [] | no_license | #zamiast uzupełniać elementy w pętli
lista = []
for element in zakres:
if warunek_na_elemencie:
lista.append("coś sie dzieje z" element)
lista2 = ["coś się dzieje z" element for element in zakres if warunek_na_element]
lista_a = []
for x in range(10):
lista_a.append(x**2)
print(lista_a)
a = [x**2 ... | true |
8f6290b7343d76182b0c621147b369c359be32db | poojithayadavalli/codekata | /nthelement.py | UTF-8 | 94 | 3.03125 | 3 | [] | no_license | n=input().split()
k=int(n[1])
for i in range(k-1,len(n[0])-k+2,k-1):
print(n[0][i],end=" ")
| true |
73202000e6e93f7ff98a8a5c4114ea68070ef3b3 | shtsai/CS6513 | /assignment2/task7.py | UTF-8 | 990 | 3.0625 | 3 | [] | no_license | import sys
from pyspark import SparkContext
from csv import reader
def createMapping(x):
# mapping: (violation code, (weekendCount, weekCount))
date = x[1]
day = date.split("-")[2]
if day in ["05", "06", "12", "13", "19", "20", "26", "27"]:
return (x[2], (1, 0))
else:
return (x[2], ... | true |
e45645c326c0e765b0682da559c3b362f8339694 | zsl1105/work | /myjob/python_test.py | UTF-8 | 441 | 3 | 3 | [] | no_license | """
python 典型例题，经典集锦！！！！
"""
"""
1,写一个单例模式：单例模式是一种常见的软件设计模式，该模式主要目的确保该类中只有一个实例存在
"""
# 装饰器方法实现
def singleton(cls):
_instance = {}
def _singleton(*args, **kwargs):
if cls not in _instance:
_instance[cls] = cls(*args, **kwargs)
return _instance[cls]
return _singleton
| true |
6b3fb584583756537609dcff63820a0f0e81f1bb | melaniesifen/Elements-of-Software-Design | /sorting/cycle sort.py | UTF-8 | 767 | 3.484375 | 3 | [] | no_license | def cycleSort(a):
writes = 0
for i in range(len(a) - 1):
item = a[i]
pos = i
num_changes = 0
for j in range(i + 1, len(a)):
if a[j] < item:
pos += 1
if pos == i:
continue
while item == a[pos]:
pos += 1
... | true |
f5c8d3568dc714f4464c38f3b758b2d95833f336 | Aasthaengg/IBMdataset | /Python_codes/p02784/s817123235.py | UTF-8 | 151 | 2.515625 | 3 | [] | no_license | H, N = list(map(lambda x: int(x), input().split(" ")))
A = list(map(lambda y: int(y), input().split(" ")))
print("Yes") if H <= sum(A) else print("No") | true |
f7e5319e610c21d54182123624040992bf1be51d | CodevEnsenada/actividades | /alumnos/Alexis Fabela/Ejercicio03/Actividad-3/Actividad-3.py | UTF-8 | 322 | 4.25 | 4 | [] | no_license | print("Actividad 3")
print("Saber si el numero es par o impar"'\n')
print("Por favor ingresa tu numero"'\n')
Value1 = int( input("Ingresa tu numero" '\n')) %2
# usar modulo, si resulta cero es par y si resulta uno es non
if (Value1 == 0):
print("El numero es par")
elif (Value1 == 1):
print("El numero es impar"... | true |
2224c1efd1266de06e60043a012cb8e0dfa89946 | sebastianrmirz/clippy | /clippy.py | UTF-8 | 1,248 | 3.953125 | 4 | [] | no_license | # clippy finds all words that can be formed without rearranging the alphabet
import sys
def find_words(dictionary):
alphabet = 'abcdefghijklmnopqrstuvwxyz'
words = []
for i in range(len(alphabet)):
for candidate in words_around(i, alphabet):
if candidate in dictionary:
... | true |
f96d9679300b46d86d75483e840470785cc82a1d | andrew-curthoys/wheres-my-store | /src/db_functions.py | UTF-8 | 2,853 | 3.1875 | 3 | [
"MIT"
] | permissive | import psycopg2
from psycopg2 import extras
from config import config
def pg_select(query_string : str) -> tuple:
"""
Parameters
----------
query_string : str
The SELECT query to run on the database
Returns
-------
query_response : tuple
A tuple of tuples with each inner t... | true |
f1ce11dc49972984ac8b81064891adba5f6ac6e3 | Kryostatic94/Contact-List | /init.py | UTF-8 | 3,415 | 3.46875 | 3 | [] | no_license | import persona
import rubrica
import errori
import csv
def menu():
print("1) Aggiungi un contatto.")
print("2) Modifica un contatto.")
print("3) Rimuovi un contatto.")
print("4) Cerca un contatto.")
print("5) Stampa elenco contatti.")
print("6) Esci.")
print("Benvenuto nella tua... | true |
8391129e4ae5b6136e69a701a42b071a945d26b6 | ptracton/experimental | /python3/RaspberryPi/main.py | UTF-8 | 4,448 | 2.734375 | 3 | [] | no_license | #! /usr/bin/env python3
"""
File: main.py
Author: Phil Tracton
This is a test program to demonstrate a bottle web server running in
conjunction with threads for both SMS and Twitter
"""
#
# Imports go here
#
import os
import socket
import threading
import time
import queue
import bottle
import mako
import mako.templa... | true |
7dff584331e9bb632146feabfc4d8f5a51a256f9 | ljj7975/composable-model-exp | /utils/util.py | UTF-8 | 3,251 | 2.71875 | 3 | [] | no_license | import errno
import hashlib
import os
from tqdm import tqdm
from utils import color_print as cp
def is_audio_file(file_name):
return file_name.split('.')[-1] == "wav"
def get_instance(module, name, config, *args):
return getattr(module, config[name]['type'])(*args, **config[name]['args'])
def makedir_exist_o... | true |
40fa985eddeaf5e0979dc5494008d0ef778c9e47 | danielzhang1998/xiaojiayu_lesson_coding | /python/lessons_coding/lesson69_tk_v1.py | UTF-8 | 556 | 3.265625 | 3 | [] | no_license | from tkinter import *
master = Tk()
theLB = Listbox(master, selectmode = MULTIPLE) # 多选
theLB.pack(padx = 10, pady = 10)
animals = ['pig','tiger','elephant','dog','cat','snake','cow','lion','bird','dragon', 'ant', 'etc.']
for each in range(len(animals)):
theLB.insert(each, animals[each])
#theLB.delete(0, END) ... | true |
02ce14ff4b5d2cf8f77337a51703a83b3dafaece | raydive/sandbox | /fizzbuzz.py | UTF-8 | 388 | 3.625 | 4 | [] | no_license | #!/usr/bin/env python
# encoding: utf-8
import sys
def FizzBuzz(number=100):
for x, x3, x5 in ((i , i%3, i%5) for i in range(1, number)):
if x3 == 0 and x5 == 0:
print('FizzBuzz')
elif x3 == 0:
print('Fizz')
elif x5 == 0:
print('Buzz')
else:
print(x)
if __name__ == '__main__':
number = 100
if... | true |
9223b0bd1bb504ad176f6e001d28112462a7a861 | lynchlynch/health_care | /example_2.py | UTF-8 | 592 | 3 | 3 | [] | no_license | # 逻辑回归实现之前的乳腺癌数据集分类预测
from sklearn import datasets
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LogisticRegression
cancer = datasets.load_breast_cancer()
cancer_X = cancer.data
print(cancer_X.shape)
cancer_y = cancer.target
print(cancer_y.shape)
X_train, X_test, y_train, y_test... | true |
b5b0f6b4b3e6467a76b648e8cc5d164686bdc479 | kili-technology/active-learning | /experiments/siim-isic-melanoma-classification/data_processing.py | UTF-8 | 2,850 | 2.65625 | 3 | [
"Apache-2.0"
] | permissive | import os
import pandas as pd
import albumentations
from sklearn import model_selection
from wtfml.data_loaders.image.classification import ClassificationDataset
from al.helpers.constants import DATA_ROOT
from al.dataset.active_dataset import ActiveDataset
DATA_PATH = os.getenv('TO_DATA_PATH')
def get_train_val_da... | true |
cbb303e132110200d9c90eadb53157b566e8634f | UdaikaranSingh/zillow_analysis | /ZillowUnivariate/univ_stats.py | UTF-8 | 4,047 | 2.78125 | 3 | [] | no_license | #!/usr/bin/env python
import pandas as pd
import sys
import os
class SingleTableReader(object):
def __init__(self, db, table, basepath='./'):
self.db = db
self.table = table
self.layout = os.path.join(basepath, 'Layout.xlsx')
self.basepath = basepath
self._get_schema(... | true |
b9131f448c27e69c94ef8c2510e916ca40015ebe | Bytamine/ff-olymp | /06 while/5.py | UTF-8 | 121 | 3.484375 | 3 | [] | no_license | #!/usr/bin/env python3
x = float(input())
y = float(input())
day = 1
while x < y:
x *= 1.1
day += 1
print(day)
| true |
7b70e3a0df0032626f3a92d1f87ba618d4103bb4 | jacky567/logic-circuit | /circuit.py | UTF-8 | 7,778 | 3.046875 | 3 | [] | no_license | import kivy
from kivy.app import App
from kivy.uix.widget import Widget
from kivy.uix.button import Button
from kivy.lang.builder import Builder
from kivy.properties import NumericProperty, StringProperty, ReferenceListProperty
from kivy.graphics import Rectangle, Color
import boolean
Builder.load_file('gates.kv')
... | true |
7052af00361a176e0316427a14aeb01df0c195ac | dr-dos-ok/Code_Jam_Webscraper | /solutions_python/Problem_63/22.py | UTF-8 | 328 | 2.984375 | 3 | [] | no_license | #!/bin/python
import sys
import math
inf = sys.stdin
T = int(inf.readline())
for t in range(T):
L, P, C = map(int, inf.readline().split())
choices = []
while L < P:
L *= C
choices.append(L)
y = math.ceil(math.log(len(choices), 2))
print 'Case #%d: %d' % (t... | true |
efaef103ce7688f4f841f2a39b893f2813b5e7f5 | hobson/ggpy | /ggpy/cruft/autocode/StandaloneDeORer.py | UTF-8 | 2,356 | 2.65625 | 3 | [
"MIT"
] | permissive | #!/usr/bin/env python
""" generated source for module StandaloneDeORer """
# package: org.ggp.base.util.gdl.transforms.standalone
import java.io.BufferedWriter
import java.io.File
import java.io.FileWriter
import java.io.IOException
import java.util.List
import org.ggp.base.util.files.FileUtils
import org.ggp.bas... | true |
d79dc13d0a194f779355e7db9df32765328698bb | suhang319/exercise | /第5天/多重继承.py | UTF-8 | 647 | 3.40625 | 3 | [] | no_license | #_*_ coding:utf-8 _*_
#@Time :2020-12-2016:46
#@Author :lemon_suhang
#@Email :1147967632@qq.com
#@File :多重继承.py
#@Software:PyCharm
class Master():
def __init__(self):
self.kongfu='[五香煎饼果子]'
def make_cake(self):
print(f"运用{self.kong}制作")
class School():
def __init__(self):
... | true |
114b328a7e26371e64d6ee9b88477e2e751ed74f | menghaoshen/python | /15.正则表达式/09.字母的特殊含义.py | UTF-8 | 746 | 3.9375 | 4 | [] | no_license | # 字母表示它本身，很多字母前面加\会有特殊含义
# \n 表示换行
# \t 表示制表符
# \s 空白字符
# \S 非空白字符
import re
# \d 表示数字，等价于[0-9],默认匹配一个数字，需要加个+ 匹配多个数字
print(re.search(r'x\d+p','x234p'))
# ^ 除了表示指定的内容以外，在[]里面可以表示取反
# \D 表示非数字，等价于[^0-9]
print(re.search(r'\D+','hell0'))
print(re.search(r'[^0-9]+','hell0'))
# \w 表示数字，字母以及_ 等价于[0-9a-zA-Z],一次或多次,非标点符号,中... | true |
e182a6b34234f5bd8f1aa3113bb061f9c09821db | exgs/hongikuniv_chemical-engineering | /화공전산(2-2)/chapter7.상미분 방정식/연습문제/p7.11.py | UTF-8 | 854 | 2.921875 | 3 | [] | no_license | from math import cos, sin, sqrt
from scipy.integrate import solve_ivp
import numpy as np
def f(t, z, tau, k):
[CA1, CB1, CA2, CB2] = z
k0 = (CA0 - CA1)/tau - k*CA1
k1 = -CB1/tau + k*CA1
k2 = (CA1-CA2)/tau - k*CA2
k3 = (CB1-CB2)/tau + k*CA2
return k0,k1,k2,k3
tau = 5
k = 0.25
h = 1
t0, te = 0, 40
CA0 = 20
c1 = [... | true |
95b630a9a40c5d66848542cf7ab42a038db38b80 | weezybusy/Cracking-the-Coding-Interview | /Problems/1/rotate_matrix/test_rotate_matrix.py | UTF-8 | 2,784 | 3.375 | 3 | [
"MIT"
] | permissive | #!/usr/bin/env python3
import unittest
from rotate_matrix import rotate_matrix, rotate_matrix_in_place
class TestRotateMatrix(unittest.TestCase):
def test_rotate_matrix(self):
# Positive tests.
original_matrix = [
[1, 2, 3, 4],
[5, 6, 7, 8],
[9,... | true |
29f0d2f86360803083cb6bcf3c8c5e62b6b75e02 | hduyuanfu/SHUQI_SHIYAN | /GUI/base_easy.py | UTF-8 | 2,493 | 2.78125 | 3 | [] | no_license | from tkinter import *
'''我试试同步功能'''
master = Tk()
master.geometry('700x600')
#lable标签组件
l_show = Label(master, text='三酷猫:')
#photo = PhotoImage(file = 'C:\Users\袁富\Pictures\Saved Pictures\vscode背景图.jpg')
#l_show1 = Label(master, image = photo)
l_show.pack(side='left')
#l_show1.pack(side = 'left')
#entry单行文本组件
e_show = ... | true |
57487bd456691623780eba0e2cf10437c85740e3 | yutake27/Atcoder | /abc/abc181/e.py | UTF-8 | 915 | 2.953125 | 3 | [] | no_license | import bisect
n, m = map(int, input().split())
h_list = sorted(list(map(int, input().split())))
w_list = sorted(list(map(int, input().split())))
diff_list = [0] * n
diffl_sum_list = [0] * (n // 2 + 1)
diffr_sum_list = [0] * (n // 2 + 1)
for i in range(1, n):
diff_list[i] = h_list[i] - h_list[i - 1]
if i % 2:... | true |
f9f8fd06687c220a4aa9cfebd536ffb4318a7989 | duggalr2/linkedin_recommend | /link_rec/link_new/linkedin_file.py | UTF-8 | 6,296 | 2.734375 | 3 | [] | no_license | from linkedinRecommender import duplicate
from linkedin_parser import Linkedin
import pickle, random
from timeit import default_timer as timer
from file_handler import FileProcessor
##############################################################
# Handling all file stuff for LinkedIn Script
########################... | true |
2e3082b8940002aa4b8245fbc235970b55c0e829 | niujie/DeepLearning_TensorFlow | /Chap4/chap4-1.py | UTF-8 | 639 | 3.75 | 4 | [] | no_license | # TensorFlow basics
import tensorflow as tf
# 4.1.1 Data type
a = 1.2
aa = tf.constant(1.2) # scalar
print(type(a), type(aa), tf.is_tensor(aa))
x = tf.constant([1, 2., 3.3])
print(x)
print(x.numpy())
a = tf.constant([1.2])
print(a, a.shape)
a = tf.constant([1, 2, 3.])
print(a, a.shape)
a = tf.constant([[1, 2], [3... | true |
eac844f3b5649cf4984bc7876138ab4d7e92fa3f | mayhewsw/projects | /pending/RummikubSolver/rummikub.py | UTF-8 | 5,181 | 3.671875 | 4 | [] | no_license | # This is a Rummikub solver
# Stephen Mayhew
# December 2012
import random
# This will need a set of tiles (I don't know what the numbers are).
# 104 tiles, 2 joker tiles
# 1 through 13
# Four colors: black, yellow, blue, red.
# there is a "table" which contains all
# the "runs" (stored as lists of tiles)
# as well ... | true |
72abef37bd4ca570ce8bf8b583ef1a51a2a732c6 | nroldanf/infiniteremixer | /infiniteremixer/remix/beat.py | UTF-8 | 1,324 | 3.3125 | 3 | [
"MIT"
] | permissive | import os
from dataclasses import dataclass
@dataclass
class Beat:
"""This class represents the beat of a track."""
file_path: str
track: str
number: int
@classmethod
def from_file_path(cls, file_path):
track = Beat._get_track_from_file_path(file_path)
beat_number = Beat._get... | true |
490cdabb202a28e32a507a9c5e1494e1adca9129 | andy2332/Python_Study | /a_Python基础_预习/02_列表/names.py | UTF-8 | 237 | 3.46875 | 3 | [] | no_license | # 作者：蔡不菜
# 时间：2020/10/14 21:35
# 定义一个存储名字的列表names
names = ['张三', '李四', '王五', '赵六']
print(names[0])
print(names[1])
print(names[2])
print(names[3])
print("你好" + names[0] + '!')
| true |
a8246469067cbcdfa14ef756ea7405fb4ef18f29 | deepdatanalytics/ASSIGNMENTS | /01_Assigments/Assig(Front-Back).py | UTF-8 | 413 | 3.84375 | 4 | [] | no_license | # word = input("write a word : ")
# def front_back(word):
# word2 = list(word)
# uzunluk = len(word2)
# i = word2[0]
# word2[0] = word2[uzunluk-1]
# word2[uzunluk-1] = i
# cikti = "".join(word2)
# return cikti
# print(front_back(word))
def missing_char(word, n):
word2 = list(word)
... | true |
847b645241c3074ce9af4c9eb7cbcccd58a071e5 | CloudsWeight/video2password | /video2password.py | UTF-8 | 3,297 | 3.1875 | 3 | [
"Unlicense"
] | permissive | ''' Video 2 Password
Desscription: Program takes a video, converts it to .mp3.
Then translates the speech in the .mp3 to a text list, currently. More plans in the future.
This is a working version that will need an [ apikey = ] and a [ url = ] to access resources.
Acceptable Video Formats:
... | true |
eec4a5fdbf090a7fbe83a50532ef8a402499b88f | RazZziel/PantalanApp | /UDOO/net.py | UTF-8 | 924 | 2.515625 | 3 | [] | no_license | #!/usr/bin/env python
# coding=utf-8
import BaseHTTPServer
class WebHandler(BaseHTTPServer.BaseHTTPRequestHandler):
def do_GET(self):
sensors = self.sensors.read()
#sensors = [1000, 1000, 1000]
self.send_response(200)
self.send_header("Content-type", "application/json")
se... | true |
e7ad78ffdf77aec6ce59506e877599b722e76935 | HoverHell/lw-survey-analysis | /blogs_and_media_html.py | UTF-8 | 6,082 | 3 | 3 | [] | no_license | import json
import statistics
import numpy as np
import libsurveyanalysis
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("clusters",
help="The json file containing the cluster information.")
parser.add_argument("structure",
help="The file containing the ... | true |
62bbeea9f9dfc5ce95239837d2cbdd327d3107cd | seokWonYoon/ezenTensor_1 | /numpy/matplot3.py | UTF-8 | 387 | 2.921875 | 3 | [] | no_license | import numpy as np
import matplotlib.pyplot as plt
mu, sigma = 0.5, 0.1 # mu 평균 / sigma 표준편차
s = np.random.normal(mu, sigma, 1000)
count, bins, ignored = plt.hist(s, 20, normed=True)
plt.plot(bins, 1/(sigma * np.sqrt(2 * np.pi)) * np.exp(- (bins - mu)
** 2 / (2... | true |
b6e8fa1fd312de79b35b61dba4c084ca4e37ae2e | caizixian/sicp | /6B Sieve of Eratosthenes.py | UTF-8 | 222 | 3.5 | 4 | [
"MIT"
] | permissive | #!/usr/bin/env python3
def sieve(generator):
a = next(generator)
yield a
yield from sieve(filter(lambda x: (x%a) != 0,generator))
def primes(n):
return sieve(iter(range(2, n)))
print(list(primes(1000))) | true |
fe487d4fdfcadeddc0c94ae951352aa6422a9b45 | kobot30/begginer_mnist_pytorch | /mnist_data_sample/2d_mnist.py | UTF-8 | 2,245 | 2.6875 | 3 | [] | no_license | import cv2
from torch.utils.data import DataLoader
from torchvision.datasets import MNIST, EMNIST, FashionMNIST, KMNIST, QMNIST
from torchvision import transforms
transform = transforms.Compose([
transforms.ToTensor(),
transforms.Normalize(mean=(0.5,), std=(0.5,))
])
# MNIST
dataset_train = MNIST('data/', tra... | true |
b58960f7ad3ad5f5339e8ceb7d20d05a2904574d | lisa906673062/webauto-1 | /taobao.py | UTF-8 | 2,068 | 2.6875 | 3 | [] | no_license | from selenium import webdriver
import time
driver = webdriver.Chrome()
url = "http://www.taobao.com"
#进入淘宝，搜索鞋
driver.get(url=url)
time.sleep(2)
driver.find_element_by_xpath("//*[@id='q']").send_keys("鞋")
driver.find_element_by_xpath("//*[@id='q']").submit() #回车
#time.sleep(2)
#绝对路径
#driver.find_element_by_xpat... | true |
55c7c558d050853aa105ff8c0da8696d74c834a0 | teoria/Marketing-Calculadora | /calculadoras/cost_hiring.py | UTF-8 | 1,047 | 3 | 3 | [] | no_license | import streamlit as st
import numpy as np
def cost_hiring_page():
st.header('Calculadora de custo por contratação')
cc_ad = st.number_input('Custo com Propaganda', value=0, key='cc_ad')
cc_er = st.number_input('Custos de indicação do funcionário', value=0, key='cc_er')
cc_af = st.number_input('Custo co... | true |
470b34d15e8859b9aafb77eb0515dd96e52637de | erlingpaulsen/bigdata | /plot_vars.py | UTF-8 | 16,800 | 2.671875 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Sat Nov 19 12:21:49 2016
@author: ERLING
"""
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from mpl_toolkits.mplot3d import proj3d
def plotAll(df, mru=0):
if mru==1:
for col in df.columns:
... | true |
dfd506f992ed907555e7297cf3bddd35c9864771 | shramikgawde/pythonExercise | /13.py | UTF-8 | 52 | 2.6875 | 3 | [] | no_license | my_range=range(1,21)
print(list(map(str,my_range)))
| true |
9fd11eea452873b395b493a1ba4e4bbb3c9a9bd2 | bameeman/areRPI_SimCV | /testinput/testinput.py | UTF-8 | 190 | 2.609375 | 3 | [] | no_license | import RPi.GPIO as GPIO
GPIO.setmode(GPIO.BCM)
GPIO.setup(23,GPIO.OUT)
GPIO.setup(24,GPIO.IN)
while 1:
a = GPIO.input(24)
if (a == 0):
GPIO.output(23,1)
else:
GPIO.output(23,0)
| true |
f5861375f5647f06fa0c9255b62aa9a36142c81f | Nikxs2603/python-practice | /rotatingfhexamples.py | UTF-8 | 869 | 2.984375 | 3 | [] | no_license | import logging
from logging.handlers import RotatingFileHandler
logger = logging.getLogger(__name__)
logger.setLevel(logging.DEBUG)
#roll over 1kb, and keep backup log app.log1, app.log2 etc
handler = RotatingFileHandler('app.log', maxBytes=1000, backupCount=2)
logger.addHandler(handler)
for _ in range(10):
... | true |
372b2cffdd036611f169bb332dc21d3162b3831a | zhaoxinlu/SemAnalysis | /data_process/data_processing.py | UTF-8 | 8,139 | 2.625 | 3 | [
"MIT"
] | permissive | # -*- coding: utf-8 -*-
"""
数据处理相关操作
"""
import os
import pandas as pd
import jieba
import re
import numpy as np
import pickle
from collections import Counter
import itertools
from torch.utils import data
from sklearn.model_selection import train_test_split
#DATA_PATH = os.path.join(os.path.dirname(... | true |
a2d6ef4c51eb001aba8181a971e516f2546df026 | ewhuang/parecat_bcb16 | /his/get_time_series_statistics.py | UTF-8 | 12,733 | 3.359375 | 3 | [] | no_license | #!/usr/bin/python
# -*- coding: utf-8 -*-
### Author: Edward Huang
from discontinued_herbs import *
import math
### This script provides functions for retrieving basic statistics on the time
### series data. Writes out disease complications, side effects, treatments, and
### good symptoms.
# Input is list... | true |
83e6614e13219e367a1bc6f7c65f92a2d8e690a2 | royopa/grau_project_Repo | /grau_datas/grau_datas.py | UTF-8 | 11,423 | 2.90625 | 3 | [] | no_license | import datetime
from datetime import datetime, date, timedelta
from dateutil.relativedelta import relativedelta
import pandas as pd
import calendar
from dateutil import parser
'''
Criar funcao para fechar o programa caso seja fds ou feriado.
'''
feriados_ambima = '/usr/lib/python2.7/dist-packages/grau_project/grau_da... | true |
430c739f14a3d87e11784a59cb8a0ad21ab0c6aa | Krishnaarunangsu/XpressoDataVersioning | /xpresso/ai/core/data/structured_dataset.py | UTF-8 | 6,477 | 2.953125 | 3 | [] | no_license | """ Class design for Dataset"""
import pickle
import pandas as pd
from xpresso.ai.core.data.dataset import AbstractDataset
from xpresso.ai.core.data.dataset_explorer import Explorer
from xpresso.ai.core.data.dataset_type import DatasetType
#from xpresso.ai.core.logging.xpr_log import XprLogger
import csvdiff
__all__... | true |
5d72e543e35e4d63f130bc998ccc27636e381e8e | Andreyglass1989/Swift_Avia_Group | /advanced/NLTK/nltk_first_steps.py | UTF-8 | 476 | 3.390625 | 3 | [] | no_license | import nltk
from nltk.book import *
text1.concordance("monstrous")
from nltk import word_tokenize
text_hello="Привет мир. Я люблю программирование, и не только. Замечательный мир, он яркий и красивый."
'''
>>> type(text_hello)
<type 'str'>
'''
text_hello=text_hello.decode('utf8')
tokens = word_tokenize(tex... | true |
94b9239c7f7461b47c820d22a4ccb669cfb17193 | k7krishnar/edabit | /flip_boolean.py | UTF-8 | 394 | 3.3125 | 3 | [] | no_license | def reverse(arg):
if isinstance(arg, bool):
if arg == True:
print ( "False" )
return False
else:
print("True")
return True
print("boolean expected")
return "boolean expected"
reverse(False)
reverse(0)
reverse({})
# best solution
def reverse(... | true |
0049b0110e236b0b55168d39451b03da877dc060 | KendallWeihe/Artificial-Intelligence | /prog2/collect_data/rename_files.py | UTF-8 | 841 | 2.765625 | 3 | [] | no_license | import pdb
import os
import subprocess
path = os.getcwd()
filenames = os.listdir("mixed_puzzles/")
for i in range(len(filenames)):
filenames[i] = "mixed_puzzles/" + filenames[i]
# print filenames
# try:
i = 1
for filename in filenames:
new_filename = filename
# pdb.set_trace()
try:
file_nu... | true |
a4af8019b0a68ee410e449b43a9c4d1ef40745e1 | cnjocelyn/Copy-From-Mac | /W16/SI601/Week2/Examples/regex_tutorial.py | UTF-8 | 1,064 | 3.421875 | 3 | [] | no_license | ##########################################
#### Regular Expression Tutorial #########
##########################################
import re
# Open the file (make sure its in the same directory as this file)
f = open('mbox-short.txt')
print f.read()
# Loop through each line of the file and count the lines
count... | true |
95417fc97967a35008f12fbff72e99dd9cf6158f | alexfjclements/fractal_scripts | /fractal/basics | UTF-8 | 854 | 3.953125 | 4 | [
"BSD-2-Clause"
] | permissive | #!/usr/bin/env python
'''The fractal code started as part of a tutorial on Python. This script gives
a few basic Python examples before jumping into interesting fractals.'''
# The first line above declares this file as an executable python script
import sys # Import a module so that stuff like sys.argv works
from ge... | true |
380d15e3bfd023593fa32103174d9bead6263bd7 | giselleramlal/Smart-Glasses | /finalThresholdMethod.py | UTF-8 | 6,637 | 3.0625 | 3 | [] | no_license | ## Press ESC button to get next image
import cv2
import cv2 as cv
import numpy as np
frame = cv2.imread('test_folder/image6.jpeg')
# frame = cv2.imread('extra/c2.png')
## keeping a copy of original
print(frame.shape)
original_frame = frame.copy()
original_frame2 = frame.copy()
## Show the original image
winName = ... | true |
28f797b1c6efa4d08401d089b43df70258f31ebc | AnastasiyaFeofanova/StepicPythonSeleniumAutomation | /test_mark_parametrizeTask2.py | UTF-8 | 1,808 | 2.65625 | 3 | [] | no_license | import pytest
from selenium import webdriver
import time
import math
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
final=''
@pytest.fixture(scope="session")
def browser():
print("\nstart browser f... | true |
ebc76767658b636255aa3dc5ab64b8c6034a00bb | deepakpatell/python-programs | /New folder/explore.py | UTF-8 | 154 | 3.171875 | 3 | [] | no_license | a=[1,2,3,3]
def fun(a):
for i in range(0,len(a)-1):
if a[i]==3 and a[i+1]==3:
return True
else :
return False
| true |
e3ee5be362ee9549225b3543278119bbc97b787f | hestad/advent-of-code | /2018/day23/day23.py | UTF-8 | 922 | 3.3125 | 3 | [] | no_license | from dataclasses import dataclass
from typing import List
@dataclass
class Bot:
x: int
y: int
z: int
range: int
def read_input() -> List[Bot]:
result = []
with open('day23.txt') as f:
for line in f:
s = line.split('>, r=')
left = s[0].strip("pos=<")
... | true |
229ec8e25a7c687f69d09434c2c30e97bef51eac | TianyaoHua/LeetCodeSolutions | /License Key Formatting.py | UTF-8 | 412 | 2.703125 | 3 | [] | no_license | class Solution(object):
def licenseKeyFormatting(self, S, K):
"""
:type S: str
:type K: int
:rtype: str
"""
S = S.replace('-','')
i = len(S)-K
answer = ''
while i > 0:
answer = S[i:i+K]+'-'+answer
i -= K
answer =... | true |
3f6960b604e9ae92b882adccbd18eb14e39080f1 | ethen8181/programming | /data_pipeline/celery/tasks.py | UTF-8 | 392 | 2.53125 | 3 | [] | no_license | from pandas_datareader import DataReader
from celeryapp import app
@app.task
def get_stock_info(stock, start, end, source = 'yahoo'):
stock_col = 'Stock'
df = DataReader(stock, source, start, end)
df[stock_col] = stock
agg = df.groupby(stock_col).agg(['min', 'max', 'mean', 'median'])
agg.columns =... | true |
5ab3933c87b2fb5eefe7b5bc6efe88f54ae813a3 | weber81/DailyProgrammerSolutions | /bridges.py | UTF-8 | 11,894 | 3.296875 | 3 | [] | no_license | import re
class Island():
def __init__(self, location, value):
self.location = location
self.value = value
self.west = self.east = self.south = self.north = None
self.connections = [self.west, self.north, self.east, self.south]
self.bridges = []
self.eastB = []
... | true |
70f5e335b0f95fa5c4cf72d4e7b8529f9b9cae03 | tnankie/project-sturm_drang | /archive/LSTM_classes_functions.py | UTF-8 | 12,001 | 2.828125 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Sat Nov 7 12:03:48 2020
@author: work_cbdvl
"""
import torch
import numpy as np
class fc_net(torch.nn.Module):
def __init__(self, n_features, seq_length =1, hidden = 30, layers = 2, fc_layer = 60):
super(fc_net, self).__init__()
self.n_features = n_features
... | true |
4ff3e3e8db6c9a2044a9c37ae576042c17ba4fcd | dpla-attic/akara | /lib/__init__.py | UTF-8 | 6,165 | 2.703125 | 3 | [
"Apache-2.0"
] | permissive | # -*- coding: iso-8859-1 -*-
#
# akara
# © 2008-2010 by Uche Ogbuji and Zepheira LLC
#
"""
akara - top-level module for an Akara installation
Copyright 2009-2010 Uche Ogbuji and Zepheira LLC
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the Licens... | true |
925ecaac81370385babf866d700155888bf1a068 | Xiangruili-seed/eRNA | /human/cell/split.py | UTF-8 | 881 | 2.671875 | 3 | [
"Apache-2.0"
] | permissive | import pysam
import sys
### Input varibles to set
# file to split on
unsplit_file = sys.argv[1]
# where to place output files
out_dir = sys.argv[2]
# variable to hold barcode index
CB_hold = sys.argv[3]
itr = 0
# read in upsplit file and loop reads by line
samfile = pysam.AlignmentFile( unsplit_file, "rb")
for read in ... | true |
0ac75b1f5a515b5ea9cb185333840126398e5c63 | juansemarquez/teacher-planner | /teacher_planner/planner/models.py | UTF-8 | 8,431 | 2.671875 | 3 | [] | no_license | from django.db import models
from django.conf import settings
# from django.contrib.auth import get_user_model
from django.contrib.auth.models import User
import datetime
class Teacher(User):
class Meta:
proxy = True
def get_lessons_by_taglist(self, tag_list):
''' Receives a list of keyphrases,... | true |