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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
64cd27cc57a80f9af66e5e39f0f60650684352cb | Python | gareth-lloyd/python-geodata-talk | /api/reporting/plot_outbreak.py | UTF-8 | 1,769 | 2.65625 | 3 | [] | no_license | import geopandas
import matplotlib
import shapely
from matplotlib import pyplot
from reporting import simulation
from reporting.simulation import NORTH, EAST, SOUTH, WEST
def plot_outbreak():
from psycopg2 import connect
connection = connect(dbname='johnsnow')
cases = geopandas.read_postgis(
"sel... | true |
b230f88533ebca51d145d79702ea58e4f60e578f | Python | iSeaSoul/codechef | /201311/CHEFGM.py | UTF-8 | 1,188 | 2.796875 | 3 | [] | no_license | def judge(frac):
max_non_zero_bit_flag = 0
for i in xrange(45, 0, -1):
flag = 1 if frac[i] >= 0 else -1
frac[i - 1] += flag * (abs(frac[i]) / 2)
frac[i] = flag * (abs(frac[i]) % 2)
if frac[i] != 0:
max_non_zero_bit_flag = frac[i]
if frac[0] =... | true |
64a478da8683f5f004498dfe430fb608b72640fd | Python | minskeyguo/mylib | /python-edu/snake/03-snake.py | UTF-8 | 4,171 | 3.390625 | 3 | [] | no_license | #!/usr/bin/python3
import sys
import time
import random
import pygame
from pygame.locals import *
SCREEN_WIDTH, SCREEN_HEIGHT = 800, 600
BOX_SIZE = 44
class Apple:
def __init__(self, x, y):
self.step = BOX_SIZE
self.x = x * self.step
self.y = y * self.step
def draw(self, surf, ... | true |
a368c3bce2d5ba7c98e8ed223e3d2904cada4407 | Python | sdfgeoff/godot-boat | /Tools/export_png.py | UTF-8 | 1,171 | 2.6875 | 3 | [] | no_license | # This file is run inside blender, it opens each of the passed in files and
# exports it to the type specified in the render output panel
import sys
sys.dont_write_bytecode = True
import bpy
import os
import argparse
import logging
import time
def export_png(out_file, res_percent):
bpy.context.scene.render.resol... | true |
07709d54faaf5e5d553324297262936042b7f568 | Python | valmenucerri/probleme_sac_a_dos | /remplir_sac/creer_resultat.py | UTF-8 | 1,061 | 3.375 | 3 | [] | no_license | def resul(nb_objet, objets_ajoutes, valeur, poidscourant,pd_max,nbr_obj):
'''
Créer le fichier résultat
:param nb_objet: le nombre d'objets ajoutés. type : int
:param objets_ajoutes: la liste des objets ajoutés . type : list
:param valeur: la valeur finale de tous les objets du sac réunis. type : in... | true |
7921646ec589b02924d8b7ada520b204d09ada38 | Python | unsortedtosorted/FastePrep | /Trees/populate_sibling_pointers.py | UTF-8 | 702 | 3.46875 | 3 | [] | no_license | """
Connect Same Level Siblings
1. save all nodes to dict with nodes with same level at same key
2. go to each node in all level and connect them
"""
from collections import deque,defaultdict
def populate_sibling_pointers(root):
#TODO: Write - Your - Code
level = defaultdict(list)
q = deque()
q.append((root,... | true |
12db5925604c876928f620377640ee60a6b3f320 | Python | choyeaeun/Python_study | /second_syntax/2_6list_string.py | UTF-8 | 494 | 4.4375 | 4 | [] | no_license |
# list와 string은 밀접
characters = list('abcdef')
print(characters)
# 문자열을 특정 기호를 기준으로 쪼개 리스트화
words = 'Hello World는 프로그래밍을 배우기 아주 좋은 사이트입니다.'
words_list = words.split()
print(words_list)
nowDate = '19:10:11'
nowDate_list = nowDate.split(':')
print(nowDate_list)
# 리스트를 문자열로 만들기
words_str = ' '.join(words_list)
print(w... | true |
15cd6eafd2ebf428e4a5debb2a6f97f6fb163b2f | Python | dusty-phillips/pyjaco | /tests/dict/del_dict.py | UTF-8 | 409 | 3.34375 | 3 | [
"LicenseRef-scancode-proprietary-license",
"MIT"
] | permissive |
mydict = {}
mydict["abc"] = "def"
mydict["def"] = "abc"
mydict["xyz"] = "rst"
print mydict["abc"]
print mydict["def"]
print mydict["xyz"]
del mydict["def"]
if "abc" in mydict:
print "abc in mydict"
else:
print "abc not in mydict"
if "def" in mydict:
print "def in mydict"
else:
print "def not in my... | true |
f7b2c9ab7841b8509dffb7d2eb0b7845472d2d10 | Python | orchsik/jhpar | /python/grammar/lambda.py | UTF-8 | 153 | 3.171875 | 3 | [] | no_license | #
#
# lambda
# 익명함수: heap 영역에서 사용되므로 다음줄로 넘어가면 증발
sum = lambda a, b: a+b
result = sum(3,4)
print(result)
| true |
69356627f7557149442ad50f6885b9a89d64c50e | Python | unit-team-spbu/backend | /logger/logger.py | UTF-8 | 1,668 | 2.65625 | 3 | [
"MIT"
] | permissive | from nameko_mongodb import MongoDatabase
from nameko.rpc import rpc
from nameko.web.handlers import http
import json
from datetime import datetime
class Logger:
"""Microservice for system logging"""
# Vars
name = 'logger'
db = MongoDatabase()
# Logic
def _save_log(self, log):
collec... | true |
466ee256216f723bc2c37aca666fd746f01e9edc | Python | atbrandao/OpenPulse_f | /pulse/uix/vtk/actor/actorSquare2D.py | UTF-8 | 1,832 | 2.515625 | 3 | [] | no_license | import vtk
from pulse.uix.vtk.vtkActorBase import vtkActorBase
class ActorSquare2D(vtkActorBase):
def __init__(self, posA, posB):
super().__init__()
self.color = [1,0,0]
self.normalizedColor = [1,0,0]
self._actor = vtk.vtkActor2D()
self.posA = posA
self.posB = pos... | true |
9ee2df308e0117ff71ad58e415d3a177e49e8d4d | Python | YicongCao/ZhihuJokesBot | /spider.py | UTF-8 | 3,184 | 2.609375 | 3 | [] | no_license | # coding=utf-8
import requests
import json
import datetime
import time
import utils
DAILY_NEWS_API = "http://news-at.zhihu.com/api/4/news/latest"
JOKES_SECTION_API = "http://news-at.zhihu.com/api/4/section/2"
JOKES_HISTORY_API = "http://news-at.zhihu.com/api/4/section/2/before/{0}"
JOKES_ARTICLE_URL = "http://daily.... | true |
81a2c8d402c7484f488c863d17a21b3afd870bb1 | Python | kahvel/VEP-BCI | /src/gui/windows/VideoStream.py | UTF-8 | 656 | 2.65625 | 3 | [
"MIT"
] | permissive | import cv2
from PIL import Image, ImageTk
import Tkinter
import MyWindows
class StreamWindow(MyWindows.TkWindow):
def __init__(self):
MyWindows.TkWindow.__init__(self, "Stream")
self.image_label = None
def setup(self):
self.image_label = Tkinter.Label(self)
self.image_label.p... | true |
8642f72e59cc1f1097c36f0168a17727804c5de2 | Python | CristobalME96/Universidad | /estructura/proyecto/rapiditotiti.py | UTF-8 | 2,115 | 2.78125 | 3 | [] | no_license | import functools
def leerArchivo(archivo):
with open(archivo,'r') as f:
for line in f.readlines():
yield line.split("\n")[0].split(",")
def generarGrafo(origen):
grafo = []
pos = 0
estaciones = leerArchivo('metro_neo_santiago.csv')
for est in estaciones:
existe = False
for i in range(len(grafo)):
i... | true |
45f0ee19b4226622a04d595e81151452860f074c | Python | Cjkkkk/data_mining_homework | /hw1/gaussian_discriminant/gaussian_pos_prob.py | UTF-8 | 2,124 | 2.703125 | 3 | [
"MIT"
] | permissive | import numpy as np
import math
def gaussian_pos_prob(X, Mu, Sigma, Phi):
'''
GAUSSIAN_POS_PROB Posterior probability of GDA.
Compute the posterior probability of given N data points X
using Gaussian Discriminant Analysis where the K gaussian distributions
are specified by Mu, Sigma and Phi.
In... | true |
9a0a60eb55579f552b13411933e39e879950bd77 | Python | markpbaggett/trace_migrater | /app/check_deleted.py | UTF-8 | 545 | 2.5625 | 3 | [] | no_license | import csv
def get_deleted_or_unpublished(csv_name: str) -> list:
with open(csv_name) as csvfile:
reader = csv.DictReader(csvfile, delimiter='|')
return [row['DELETE_original_uri_from_utk'].split("object/")[1].replace("/datastream/PDF", "") for row in reader if row['embargo_date'].startswith("9999... | true |
6542a83783fd1424ed9316a6e9a8ffe6b7f6e654 | Python | onionys/python_code | /code/socket/udp/server/01.py | UTF-8 | 236 | 2.6875 | 3 | [] | no_license | #!/usr/bin/env python3
import socket
sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
sock.bind(("192.168.0.4",8001))
while(True):
msg, addr = sock.recvfrom(1024)
print("addr: ", addr)
print("msg: ", msg.decode())
| true |
f8c04e71d7d38a02936e2fe2d8489ef107fcf6c0 | Python | ChrisProgramming2018/algoritm | /Arrays/LargestRange/python/program.py | UTF-8 | 874 | 3.640625 | 4 | [] | no_license |
def largestRange(array):
""" Return the start number and number of the end
of the largest Range in an Array
Args:
param1(list): array with int
Return: list length 2 first element start sec end
"""
min_value = min(array)
max_value = max(array)
min_value
hashTable = {}
... | true |
090b73baa836acc294dbcf3109b934289ea8614d | Python | ksmenzingen/Battleship | /Battlefield.py | UTF-8 | 2,608 | 3.140625 | 3 | [] | no_license | class BattleField:
def __init__(self, width, height):
self.width = width
self.height = height
self.ships = []
self.missedShots = []
self.field = []
def updateField(self):
field = []
for i in range(self.width):
a = []
for j in rang... | true |
1266e352ec4b214bb4b1cbaf6378f0f17e5ecbd7 | Python | lucastheis/django-publications | /publications/utils.py | UTF-8 | 624 | 2.734375 | 3 | [
"MIT"
] | permissive | from publications.models import CustomLink, CustomFile
def populate(publications):
"""
Load custom links and files from database and attach to publications.
"""
customlinks = CustomLink.objects.filter(publication__in=publications)
customfiles = CustomFile.objects.filter(publication__in=publications)
publicatio... | true |
97f4355c38b8851c3e4dd27dc77ae7de179a47ce | Python | XHJ-TS9527/MCM-algorithms | /Optimization/Animals.py | UTF-8 | 5,036 | 3.03125 | 3 | [] | no_license | import copy
import numpy as np
import pandas as pd
class PSO:
def __init__(self, max_iteration=50, swarm_num=20, c1=2, c2=2, w_ini=0.9, w_end=0.4):
"""
The setting of PSO algorithm
:param max_iteration: max iteration of PSO algorithm, with default as 50, positive int
... | true |
f2dfb9b05f6bd8d58dd2e13b3c7bd250f92cd4d7 | Python | KrishPatel414/Vampire-Game-CS-Assignment | /Final/FINAL COPY OF FINAL CULMINATING.py | UTF-8 | 43,484 | 2.9375 | 3 | [] | no_license | #Krish Patel
#Tuesday, January 22 2019(Due Date)
#Dracula's Forest
#Survival Vampire Game
import pygame
pygame.init()
from random import randint
WIDTH=1000 #1200 is the biggest allowed for this assignment
HEIGHT=700 #700 is the biggest height allowed
#Create my game screen
game_window=py... | true |
c9b3c99080e9bd1c0abef367b9709161a7fd8034 | Python | oszn/rengongzhineng_zuoye | /k/xixi/xxxx.py | UTF-8 | 122 | 3.078125 | 3 | [] | no_license | f=open("1","r")
p=f.readlines()
x=[]
print(p)
for i in p:
print(i)
x.append(i.replace('\n',''))
print(",".join(x)) | true |
a10f6314c6d3121866926dea4c12d96a929ad54c | Python | pinyo1999/workshop2 | /lists/sort_list.py | UTF-8 | 370 | 4.0625 | 4 | [] | no_license | # Example 1
thislist = [100, 50, 65, 82, 23]
thislist.sort()
print(thislist) # output : [23, 50, 65, 82, 100]
# Example 2
thislist = [100, 50, 65, 82, 23]
thislist.sort(reverse=True)
print(thislist) # output : [100, 82, 65, 50, 23]
# Example 3
thislist = ["asdas", "cxsdfcas", "sadasdew", "ab", "a"]
thislist.sort()
... | true |
de3d421f057f496ef3a2772a0a8940ca35ccd523 | Python | BrunoScaglione/Willump | /tests/stacking_node_tests.py | UTF-8 | 8,296 | 2.8125 | 3 | [
"MIT"
] | permissive | import unittest
import numpy
import pandas as pd
import scipy.sparse
import scipy.sparse.csr
import sklearn.linear_model
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.feature_extraction.text import TfidfVectorizer
import willump.evaluation.willump_executor as wexec
with open("tests/test_re... | true |
8db77c8c5ab1930f2b83ed4f00e56d79b92abafb | Python | Jacob-xu/pythontest | /字符串反序.py | UTF-8 | 102 | 3.328125 | 3 | [] | no_license | list1 = [1,2,3]
list2 = [3,4,5]
set1 = set(list1)
set2 = set(list2)
print(set1&set2)
print(set1^set2)
| true |
13c7dbd9f09ee1cd18e413b48b1a645245b578c4 | Python | Zhanibek6/Medieval-chat | /medieval.py | UTF-8 | 1,728 | 3.59375 | 4 | [
"MIT"
] | permissive | import random
import re
import json
class Medieval:
def __init__(self, data):
self.data = data
def printData(self):
print(self.data)
def translate(self, inp):
result = inp.lower()
result = self.single_words(result)
result = self.prepend_and_append(result)
result = self.change_tags(result)
pri... | true |
2a6f880caf654a32ce5f7b36e7f74af846f5501d | Python | rrutz/Learning | /Machine Learning(python)/Bias, Var, Complexity Tradeoff illustration.py | UTF-8 | 1,795 | 3.046875 | 3 | [] | no_license |
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from sklearn import linear_model
from scipy import stats
from sklearn.utils import shuffle
def generateDate( n ):
d = pd.DataFrame( { 'x' : np.linspace(-25, 25, num = n) })
d = pd.concat( [d, pd.DataFrame( { 'y' :4.0*np.sin(d.x) + np.rando... | true |
d3c090d6a20d629094a2bbc9e95a3c8835eeb19e | Python | ccrabbai/Practice_Pyhon | /Divisors_Of_Any_Number.py | UTF-8 | 251 | 4.09375 | 4 | [] | no_license | num = int(input("Enter a number: "))
for i in range(1,num+1):
if num == 1:
print(num, "has ony one divisor which is ", num)
elif num == 0:
print("Number must be greater than zero")
elif num%i == 0:
print(i)
| true |
eec05188f3b48915ea5de4a130c7422fd73efb28 | Python | University-Projects-UH/physical-layer | /mac_attribute.py | UTF-8 | 239 | 3.046875 | 3 | [] | no_license | class Mac():
def __init__(self, _mac = 'none'):
assert len(_mac) == 4, "Longitud de mac incorrecta"
self.mac = _mac
def show(self):
return self.mac
def seter(self, new_mac):
self.mac = new_mac | true |
916de8d1ed7fc055661d20287d0b4b5aa5fd1ffd | Python | RanjaniMK/Python-DataScience_Essentials | /slice_a_list_OR_to_get_multiple_elements.py | UTF-8 | 471 | 4.5 | 4 | [] | no_license | my_list = [2, "Ranjani", 4, "Age", 8, "Data", 10]
#get all the elements in a list: my_list[:]
#get 2nd to 4th element: my_list[1:4] i.e. my_list[index1 is 2nd element, mentioning index 4 - but except for index 4, all elements preceding it is printed]
# 4th element is index 3 in the array. Elements to be retrieved---> t... | true |
da53158b3ebcc0c07e13c7e906152388d79f9f27 | Python | RavenPack/python-api | /ravenpackapi/examples/entity_reference_get_sedols.py | UTF-8 | 1,775 | 2.953125 | 3 | [] | no_license | import os
import datetime
from ravenpackapi import RPApi
PRODUCT = "rpa" # Or PRODUCT = "edge"
api = RPApi(product=PRODUCT)
def download_or_read_reference_file(reference_filename="reference.csv"):
if os.path.isfile(reference_filename):
# use the locally saved reference file if it exists
referen... | true |
4024d6b551a72efe26147fd9a18b54166c89498e | Python | zjgbz/img_cls | /datasets/cifar_longtail.py | UTF-8 | 4,167 | 3.09375 | 3 | [
"MIT"
] | permissive | # -*- coding: utf-8 -*-
"""
# @file name : cifar_longtail.py
# @author : https://github.com/zjgbz
# @date : 2021年4月22日
# @brief : cifar 10数据集读取
"""
import os
import random
from PIL import Image
from torch.utils.data import Dataset
class CifarDataset(Dataset):
names = ('plane', 'car', 'bird', 'cat... | true |
427cad9c08aa2205595f4d392e18cd3fee5b66ff | Python | tejasree0328/assign8 | /w2.py | UTF-8 | 413 | 2.75 | 3 | [] | no_license | Python 3.8.3 (tags/v3.8.3:6f8c832, May 13 2020, 22:20:19) [MSC v.1925 32 bit (Intel)] on win32
Type "help", "copyright", "credits" or "license()" for more information.
>>> def remove(string,i):
for j in range(len(string)):
if j==i:
string=string.replace(string[i], " ",1)
return string
... | true |
3db57d644cc076d63687049a3dfe608a93b78e2d | Python | FEARtheRATTATA/AoC | /2022/day8/day8.py | UTF-8 | 2,185 | 3.046875 | 3 | [] | no_license | from math import prod
visible = set()
def check(grid, direction, pos):
global visible
largest = -1
#print(direction)
while True:
#print(pos)
try:
if grid[int(pos.real)][int(pos.imag)] > largest:
visible = visible.union({pos})
largest = gr... | true |
94dbb4e41c4ab3d671f07dc19517aaed1d1c1e8a | Python | mehmetkarayel18/16.Hafta-Odevler | /16. hafta 3. ödv çorap renkleri.py | UTF-8 | 355 | 2.6875 | 3 | [] | no_license | def fonnk(s,k):
renk={} #her renk kodundan kaç tane olduğunu belirten bir sözlük
sonuc=0
for i in s:
if i in renk:
renk[i]=1+renk[i]
else:
renk[i]=1
print(renk)
for k in renk:
sonuc+=renk[k]//2
return sonuc
print(fonnk([2,2,2,4,6,6,6,6,7,7]... | true |
38612771cc230e5bb2118ef6054f02fb2ad5bc7a | Python | opennars/OpenNARS-for-Applications | /misc/Python/distributedNAR.py | UTF-8 | 2,958 | 3 | 3 | [
"MIT"
] | permissive | import NAR
import multiprocessing
from joblib import Parallel, delayed
#Node graph:
master = "narMaster"
nodes = [master, "narSlave1", "narSlave2"]
edges = [("narSlave1", master), ("narSlave2", master)]
priorityThresholdGoals = 0.1 #priority needed for communication of a task
priorityThresholdBeliefs = 0.1 #priority n... | true |
8a0dcfca4ea4ccd0aa4d34f73fe02edd9538d864 | Python | PytlaaS/Python-Project-Spring-2019 | /Main.py | UTF-8 | 602 | 3.0625 | 3 | [] | no_license | from matrix.Calcul import *
from numpy import *
print("Bienvenue sur le programme de calcul matriciel made in AtlaaS\n")
while 1 == 1:
bouclage = True
while bouclage == True:
wrt = str(input("Voullez vous enregistrer les valeurs de matrices ? o/n\n"))
if wrt == 'o' or wrt == 'O':
b... | true |
c87aae66502edd55cdd9f8b35e00564ce5940056 | Python | gieoon/NZ-STATS-Commuter-Competition | /server/main.py | UTF-8 | 16,699 | 2.625 | 3 | [] | no_license |
import ast
from flask import Flask
from flask_cors import CORS
from flask import Response
from flask import make_response, request, jsonify
import pandas as pd
import matplotlib.pyplot as plt
import descartes
import geopandas as gpd
from shapely.geometry import Point, Polygon
from math import radians, cos, sin, asin, ... | true |
8483e37436a425c0296829aea799c8bf1830c321 | Python | dark4igi/atom-python-test | /coursera/Chapter_6.py | UTF-8 | 146 | 4.09375 | 4 | [] | no_license | ### Data type
##string (str)
x = 'abcdefg'
print (x)
print (type(x))
print (len(x))
for i in x:
print ('letter in this itteration is :',i)
| true |
9922bb5f154db2af4432f6001e373e89acfd3a44 | Python | jiangm18/leetcode | /subset/subset.py | UTF-8 | 594 | 3.125 | 3 | [] | no_license | import copy
class Solution(object):
def subsets(self, nums):
"""
:type nums: List[int]
:rtype: List[List[int]]
"""
res = []
out = []
if nums == None or len(nums) == 0:
return res
self.helper(nums, 0, out, res)
return res
def hel... | true |
dcfd384d190c3d8f1253e4235eb11488f598e4db | Python | shortthirdman/code-eval-challenges | /hard/find_min.py3 | UTF-8 | 455 | 2.84375 | 3 | [
"MIT"
] | permissive | import fileinput, heapq
for line in fileinput.input():
n, k, a, b, c, r = [int(i) for i in line.split(',')]
m = [a]
for _ in range(k-1):
m.append((b * m[-1] + c) % r)
h = [i for i in range(k+1) if i not in m[-k:-1]]
heapq.heapify(h)
while len(m)+1 < n:
o = heapq.heappop(h)
... | true |
fa2f7ab21267f4b592eb0ab22aaff4273f4b7198 | Python | kishan811/Hello-world | /Python/helenk.py | UTF-8 | 139 | 3.375 | 3 | [
"MIT"
] | permissive | # Printing my github handle in Python
github = ["helenking029"]
for name in github:
print("My Github handle is: " + github[0])
| true |
c080e9a587df58a8d72cbccb1ef71c6fc5c373ab | Python | lunarknight00/algorithm_challenges | /hacker_rank/wordParse.py | UTF-8 | 988 | 3.125 | 3 | [] | no_license | import sys, re, string
data = sys.stdin.readlines()
# if it is not working then using
# data = [line for line in sys.stdin]
# data =list(map(int,sys.stdin.read().split()))
tmp = []
findNonWord = False
wordList = []
for line in data:
findNonWord = False
for idx in range(len(line)):
iChar = line[idx]
if re.mat... | true |
3746e02669b748fae0d0414c12218328831a4b71 | Python | adatechschool/ateliers | /20210707_demineur/correction/level4Graphic/minesweeper.py | UTF-8 | 10,361 | 3.0625 | 3 | [] | no_license | '''
Vikram Somu
Section A4
902829100
vs19@gatech.edu
'''
import turtle
import csv
import random
import math
class Sprite(object):
def __init__(self, pixels):
self.pixels = pixels
def draw(self, turt, x, y):
for col in range(len(self.pixels[0])):
for row in range(len(self.pixels)... | true |
520b189bd6e4f6165eb60aea98ab0967f9363829 | Python | heliojscoutinho/Python-AnaliseExcelSMS | /main.py | UTF-8 | 1,040 | 2.859375 | 3 | [] | no_license | # Importar o pandas(pip install pandas) / open py xl(pip install openpyxl) / twilio(pip install twilio)
import pandas as pd
from twilio.rest import Client
# Twilio account.
account_sid = "AC44e3a52c2c2531432bc994b3a9e2c99b"
auth_token = "cf95d42b8a0562b516677d5104c4653c"
client = Client(account_sid, auth_toke... | true |
becb6f357187c3a5fa1c18bb5e19764da9ea9190 | Python | ljchan1/SoHPC_19 | /sortfile.sh | UTF-8 | 1,289 | 3.0625 | 3 | [] | no_license | #!/bin/python
#Written by Li Juan Chan in 15th August 2019 for the Summer of HPC 2019 program.
#This code sorts the time compilation file based on the type of catalyst pipeline and number of cores.
catalyst = ['no', 'oneslice', 'threeslices', 'clip', 'region', 'glyph_3D', 'glyph_front', 'glyph_top', 'streamline_front... | true |
e6d7e66103903aa76504ec681e881da06951caec | Python | FebruaryRain/sysdev2coursework | /src/modules/data/search.py | UTF-8 | 763 | 3.734375 | 4 | [] | no_license | def search_list_dict(postcodes, search, key):
"""
Searches a list of dictionaries
Three variables: a list of dictionaries, search value and key to search
Return array containing -1 if not found, and -2 if multiple results found
"""
result = []
count = 0
#Make sure the key exists in dicti... | true |
16f37fb9a48b1152db319a9852eb35a6349e49f1 | Python | puebla93/pitch-training | /get_results.py | UTF-8 | 3,346 | 2.65625 | 3 | [] | no_license | import os
import cv2
import numpy as np
import json
from util.parse_args import args
import math
drawing = False # true if mouse is pressed
strike = False # if True, draw rectangle. Press 'm' to toggle to curve
fx, fy = -1,-1
sx, sy = -1,-1
frame = None
showed_frame = None
def save(data, file_path):
with open(fil... | true |
03c251bc5fea2468da254bf729832e70b4099102 | Python | Humberto59/codesignal-challenges | /reverseNodesInKGroups.py | UTF-8 | 1,411 | 3.53125 | 4 | [] | no_license | #!/usr/bin/env python
import sys
from Common import build_linked_list, print_linked_list
#reverseNodesInKGroups #Linked List
def reverseNodesInKGroups(l, k):
""" Main method """
if k == 1:
return l
# root
r = ListNode(None)
r.next = l
# previous
p = r
# prev source, source -> t... | true |
0dfcc82698034124de031e1a8fb8ce2f98eddb2f | Python | flamestream/demo-black-jack | /command/hit.py | UTF-8 | 466 | 2.90625 | 3 | [] | no_license | from command._base import Command
class ImplementedCommand(Command):
aliases = [
'hit',
'hit me',
'card',
'give card',
'request card',
'draw'
]
def execute(self, player, game, params):
lastCards = game.dealCards(player)
lastCardStrings = []
for c in lastCards:
lastCardStrings.append(str(c))
... | true |
af59a1be5a0c7d3e9a10bfaa489e8a9880302a6f | Python | swejunhyeok/jun_experiment | /model/resnet.py | UTF-8 | 5,910 | 2.640625 | 3 | [] | no_license | '''ResNet18/34/50/101/152 in Pytorch.'''
import numpy as np
import torch
import random
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable
def conv3x3(in_planes, out_planes, stride=1):
Weights = torch.zeros((out_planes, in_planes, 3, 3))
torch.nn.init.xavier_uniform_(Wei... | true |
463782272117426b9821230eb2c87d84cd1948fb | Python | iamlockelightning/Docs | /grammar.py | UTF-8 | 551 | 3.09375 | 3 | [] | no_license | #coding=utf-8
grammar = {}
grammar['S'] = [['NP', 'VP']]
grammar['VP'] = [['B', 'NP'], ['B']]
grammar['NP'] = [['A'], ['A', 'A']]
grammar['A'] = [[u'小花猫'], [u'老鼠'], [u'爪子']] #N->A
grammar['B'] = [[u'抓'], [u'叫']] #V->B
all_sen = []
def www(sen):
words = sen.split(' ')
ch = True
for w in words:
if w in grammar:
... | true |
0f8b6c7a69f769a0b2b2e8db87dc6201c07e5911 | Python | TimurShaykhiev/hockeystats | /server/app/models/player.py | UTF-8 | 3,412 | 2.65625 | 3 | [] | no_license | from datetime import date
from marshmallow import fields
from flask import current_app
from app.api.response_utils import ApiError
from app.database import get_db
from data_models.player import Player as PlayerDm
from . import ModelSchema, get_locale, DEFAULT_LOCALE
class Player:
def __init__(self):
sel... | true |
625d85000d93ab0966b057af2e7642eb9d1f582d | Python | Vinecreeper888/python-material | /Assignments/assignment.py | UTF-8 | 2,738 | 4.0625 | 4 | [] | no_license | """
#1. write a program which can compute the fact of given number using function
#using recursion, separated val in console
#n = int(input("Enter a number:"))
n = int(input("Enter a number:"))
def computeFact(n):
fact = 1
for i in range(1,n+1):
fact = fact * i
print(fact)
computeFact(n)
"""
"""
#2. With a gi... | true |
4c01d608eac91c4f2668734c606ca85a85796946 | Python | booyoungxu/python-learning | /practice/test_collections.py | UTF-8 | 973 | 3.640625 | 4 | [] | no_license | # -*- coding: utf-8 -*-
from collections import namedtuple
from collections import deque
from collections import defaultdict
from collections import OrderedDict
from collections import Counter
# create a tuple named Point
Points = namedtuple('Point', ['x', 'y'])
p = Points(1, 2)
print(p, p.x, p.y)
# Point(x=1, y=2) 1... | true |
ffd6d45f9e98411c4d5286838b120b1740d7a4e5 | Python | MoazMansour/data-structures | /binary_search.py | UTF-8 | 534 | 3.390625 | 3 | [] | no_license | #!/usr/bin/env python3
def binarySearch(arr, value):
if not arr:
return -1
start = 0
end = len(arr)-1
mid = int((start+end)/2)
if arr[mid] == value:
return mid
if arr[mid] > value:
start = start
end = mid
else:
start = mid + 1
end = end + 1
... | true |
a770b4ae196d333a450ea129cf839ce51f7c48f9 | Python | RideGreg/LintCode | /Python/825-bus-station.py | UTF-8 | 1,732 | 3.703125 | 4 | [
"MIT"
] | permissive | # -*- encoding: utf-8 -*-
# There are a city's N bus information, route[i] stores the bus stop through which the i-th bus passes,
# find the minimum number of transfers from station A to station B. If you can't get to B from A, return -1.
# 1 <= N <= 100, 2 <= |route[i]| <= 100, 0 <= route[i][j] <= 2^31 - 1
# Solutio... | true |
93e287d72a97a5f87960ee052f140d1364cf8432 | Python | DrRamm/ML_xyz | /test_model.py | UTF-8 | 1,156 | 2.609375 | 3 | [] | no_license | # coding: "GBK
from keras.engine.saving import load_model
from numpy import concatenate
from sklearn.metrics import confusion_matrix
import pylab as plt
from common import *
np.random.seed(42)
model = load_model(modelPath)
model.load_weights(modelWeightsPath)
def prepare_all_data():
print("\n---------------- Pr... | true |
882094f1ff42a4f1c749c127fa0a565dc0033580 | Python | Aasthaengg/IBMdataset | /Python_codes/p02848/s994893636.py | UTF-8 | 198 | 3.21875 | 3 | [] | no_license | n = int(input())
s = input()
a = ""
for ss in s:
if ord('A') <= ord(ss) + n <= ord('Z'):
a += chr(ord(ss) + n)
else:
a += chr(ord(ss) + n - ord('Z') + ord('A') - 1)
print(a)
| true |
94da486af2847e74a3452ad0252041edbec88354 | Python | DavidLBrandt/UW_PYHTON330_Django-Blog | /blogging/tests.py | UTF-8 | 2,299 | 2.671875 | 3 | [
"MIT"
] | permissive | from django.test import TestCase
from django.contrib.auth.models import User
from blogging.models import Post, Category
import datetime
from django.utils.timezone import utc
class PostTestCase(TestCase):
fixtures = [
"blogging_test_fixture.json",
]
def setUp(self):
self.user = User.object... | true |
15034368d56f25bcef8e1faa3dfcf01fe09adf9b | Python | alelucio/python_exercises | /tests/test_lists.py | UTF-8 | 2,133 | 3.1875 | 3 | [
"MIT"
] | permissive | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import pytest
from py_exercises.lists import *
@pytest.mark.parametrize("last_func,error_type", [
(my_last, IndexError),
(my_last_recursive, ValueError)
])
def test_my_last(last_func, error_type):
assert last_func([1, 2, 3, 4]) == 4
with pytest.raises(err... | true |
79dabc5a265dca4ab40d0c7595d691e414379da1 | Python | jinnyhyunjikim/crouds | /WORKING_with_css/app/FindUsers.py | UTF-8 | 10,516 | 2.84375 | 3 | [] | no_license | #!/usr/bin/python
import string, psycopg2, requests, json, csv, time
from datetime import datetime, date
from geopy.distance import vincenty
Foursquare_CLIENT_ID = '0015X0KQ1MLXKW0RTDOCOKUMACBCKE30ZY2IFYPCQDYTZ3EC'
Foursquare_CLIENT_SECRET ='UKJRW30YZAXC5DUO5KOZFPM4XWD3O3YSK0ANCZKB3TYCMCA5'
class FindUsers():
@... | true |
49ba941dfad32a470d37db52717cefe9c70adef9 | Python | ErenYeager0/Efficient-Trajectory-Optimization | /chebfun.py | UTF-8 | 2,380 | 2.734375 | 3 | [] | no_license | from pychebfun import *
from numpy import *
def chebpts(n):
dom = [-1,1]
x = Chebfun.interpolation_points(n) * -1
x = scaleNodes(x, dom).reshape(-1, 1)
w = quadwts(n)
w = scaleWeights(w, dom)
v = barywts(n)
return x,w,v
def chebpts_dom(n, dom):
[x,w,v] = chebpts(n)
t = scaleNo... | true |
0945b7e115c1fa76fd09054887f53323bcff5fb9 | Python | xiaomagh/assignment-4 | /initialConditions1.py | UTF-8 | 682 | 3.328125 | 3 | [] | no_license | import numpy as np
# Initial conditions function for diffusion
def squareWave(x,alpha,beta):
"A square wave as a function of position, x, which is 1 between alpha"
"and beta and zero elsewhere. The initialisation is conservative so"
"that each phi contains the correct quantity integrated over a region"
... | true |
eccdb0d3759829fa7772664b6c42bce0dec01087 | Python | mjhcodes/pdxcodeguild | /python/practice2.py | UTF-8 | 2,365 | 4.40625 | 4 | [] | no_license | # Practice 2 - Strings
# Problem #1
def double_letters(user_string):
"""accepts a string from the user and returns another string with every letter doubled"""
doubled_string = ""
for letter in user_string:
doubled_string += letter * 2
return doubled_string
# user_string = input("Enter some text: ")
# pri... | true |
8cca58978888b7d041b54f0e4d6292c210c3612f | Python | langheran/NLP-for-political-polarity-classification-from-tweets | /load_dataframe.py | UTF-8 | 1,076 | 2.5625 | 3 | [] | no_license | import pandas as pd
import os
import config as conf
import numpy as np
def getTokenizedDataFrame():
df = pd.read_pickle(os.path.join(conf.pickles_dir, "tokenized.pickle"))
df = df[(df["proactivo"] > 0.0) | (df["provoto"] > 0.0) | (df["agresivo"] > 0.0) | (df["reactivo"] > 0.0)]
return df
def getPickle(na... | true |
bcbb798b28b968c67cca699ed50b184ec5eb4f33 | Python | milanmeu/AOC | /Day6Part2.py | UTF-8 | 518 | 2.984375 | 3 | [
"MIT"
] | permissive | file = open("input6")
yes = 0
line = file.readline()
while line:
yes_group = set()
for letter in line:
if letter != "\n":
yes_group.add(letter)
line = file.readline()
while line and line != "\n":
yes_person = set()
for letter in line:
if letter != "\n":... | true |
edabb3a6ab14dce47bbcfdc4d1322dfab51d3b1b | Python | kim-jae-yun/testvscode | /602_이벤트송신자.py | UTF-8 | 1,061 | 2.828125 | 3 | [] | no_license | from PyQt5.QtWidgets import QWidget, QApplication, QVBoxLayout, QPushButton, QLabel
from PyQt5.QtCore import Qt
import sys
class 이벤트송신자(QWidget):
def __init__(self):
super().__init__()
self.initUI()
def initUI(self):
self.btn1 = QPushButton("버튼 1" )
self.btn2 ... | true |
3617942fd4e8721049fca9bdc26a40a2e45c0999 | Python | codemellow/codemellow_db | /modules/syntax_highlight/syntax.py | UTF-8 | 946 | 2.578125 | 3 | [] | no_license | import ntpath
import os.path
import sys
import magic
from pygments import highlight
from pygments.lexers import (guess_lexer_for_filename,get_lexer_by_name,guess_lexer)
from pygments.formatters import HtmlFormatter
if not os.path.isfile(sys.argv[1]):
print "<p>(Sorry there's no file exist)</p>"
sys.exit()
size = os.... | true |
9c72ab9b911f3251fe96bcd2e4e30c688ba9148e | Python | twallengren/heatpump | /solar_simulation.py | UTF-8 | 5,732 | 3.453125 | 3 | [] | no_license | # Author: Toren Wallengren
from components.solar_panel import SolarPanel
from components.cold_reservoir import ColdReservoir
from components.pump import Pump
from components.storage_tank import StorageTank
class SolarSimulation:
"""
Simulation of heat pump from a cold reservoir at temperature Tc to a hot rese... | true |
ae8f9a4fe1b9f8ee1ea811e8569b2d4211eeae7c | Python | werewolves-devs/Werewolf_Bot | /story_time/book.py | UTF-8 | 53,145 | 3.421875 | 3 | [] | no_license | # From the rule book
def find_role_rules(role):
if role == "Innocent":
msg = '''
The innocents are normal players. They only know their own role. The innocents can vote during the day on whomever they suspect to be an enemy, and hope during the night that they won't get killed. The Curse Caster can tu... | true |
5a3cf3c03faee48047b05924f7a49e6ae644608b | Python | JaeSeung/briclo_intro | /accounts/forms.py | UTF-8 | 1,439 | 2.515625 | 3 | [] | no_license | from django import forms
from django.contrib.auth.forms import UserCreationForm
from django.contrib.auth.forms import AuthenticationForm
class SignupForm(UserCreationForm):
class Meta(UserCreationForm.Meta):
fields = ("username", "email")
class SignupForm2(UserCreationForm):
email = forms.EmailField... | true |
2840218ceab515a4b6a5d84ed923f14e1fc6460e | Python | RanjeetVats/StringAndList | /Dictionary/DictProb6.py | UTF-8 | 95 | 3.21875 | 3 | [] | no_license | value=input("enter string")
l=value.split()
d={}
for i in l:
d[i]=d.get(i, 0)+1
print(d)
| true |
5847152ef8acc94f6c1025fbeb71e94341fc0475 | Python | ConorHK/assassin | /eliminate.py | UTF-8 | 7,051 | 3.203125 | 3 | [] | no_license | import sys
# Function that loads in the players in the current play order.
def loadPlayers():
players = []
with open("TempGameFiles/playershuffle.txt") as file:
players = file.read().splitlines()
return players
def loadTargets():
targets = []
with open("TempGameFiles/targetlist.txt")... | true |
38f2c0977d79b351c5c6dc7e8787611a3623db0a | Python | drewhutchison/dvlp2015 | /slidedeck/bin/assemble.py | UTF-8 | 2,406 | 2.8125 | 3 | [] | no_license | #! /usr/bin/env python
from os.path import dirname, realpath, abspath, join
from os import chdir, getcwd
from glob import glob
from re import search
from subprocess import check_output
ROOT_PATH = abspath(join(dirname(realpath(__file__)), '../..'))
SLIDES_PATH = join(ROOT_PATH, 'slidedeck')
SRC_PATH = join(SLIDES_PAT... | true |
cd3b5ed006b9858227d378551aff9d560a4073f3 | Python | Amitsrma/code_practice | /HR/Fraudulent Activity Notifications.py | UTF-8 | 1,582 | 3.140625 | 3 | [] | no_license | import time
import bisect
def median(arr, n):
return (arr[n//2]+arr[n//2-1])/2 if n%2==0 else arr[(n+1)//2-1]
def activityNotifications(expenditure, d):
hashes_s = {}
to_check = expenditure[d]
n = len(expenditure)
num_notification = 0
begin = expenditure[:d]
begin.sort()
... | true |
1bc4925b30d60c0ed13e83587e28dcdba99877e1 | Python | BeeShall/OnceUponAPixel | /data/Model.py | UTF-8 | 572 | 2.59375 | 3 | [] | no_license |
from data.Clarifai import Clarifai
from data.PassageFetcher import PassageFetcher
class Model(object):
def __init__(self, url):
self.URL = url
self.Tags = None
def RunClarifai(self):
tags = Clarifai.SubmitImageWithURL(self.URL)
tags = sorted(list(Clarifai.GetProbabilities(ta... | true |
c3802aa6fa13e7fb2dddbfeeb891013f76609b74 | Python | hongjunChoi/H2R_Baxter_Classifier | /ref_code/generate_model.py | UTF-8 | 25,099 | 2.578125 | 3 | [] | no_license | import yaml
import sys
from base64 import b64decode
import zlib
import struct
import json
import numpy as np
import math
from scipy.ndimage.filters import gaussian_filter
class Observation:
observationCount = 0
occupancyCount = 0
occupancyConfidence = 0.0
r = 0.0
g = 0.0
b = 0.0
def __ini... | true |
3d66cc124b2158d3bd19cc468cfa8fab9247f3bc | Python | KatOkonska/Statki | /app/classes/board.py | UTF-8 | 1,333 | 2.8125 | 3 | [] | no_license | from app.classes.settings import *
class Board:
def __init__(self, Size):
print("Board constructor.")
self.Size = Size
self.Data = [[0 for x in range(self.Size)] for y in range(self.Size)]
for item in self.Data:
item = BoardDisplay.USELESS.value
def GetData(self):
... | true |
62a22c0a9ca4ff21b87b8efe16e69d7e1eb6c7d3 | Python | iago-ribeiro28/jogos | /Jogos.py | UTF-8 | 598 | 3.71875 | 4 | [] | no_license | import forca
import Par_ou_impar
import Adivinhacao
jogando = 'S'
while jogando == 'S':
print('*'*22)
print('***Escolha seu jogo***')
print('*'*22)
print("""
(1) Advinhação
(2) Forca
(3) Par ou impar""")
jogo = 0
while 3 < jogo < 1:
jogo = int(input('\nQual jogo? '))
if ... | true |
4e26f0805603fbe4951937d116e11d6e9676bd4e | Python | jcdavis3795/newegg_scraper | /ne_scrape.py | UTF-8 | 899 | 2.984375 | 3 | [] | no_license | from funcs import get_ne_components
import sys
# command line functionality. From the terminal in the project directory, run 'ne_scrape.py' the way you would normally
# run a python file followed by two additional arguments: component type and the number of items you want returned
if __name__ == '__main__':
... | true |
59c13f7db2ab5ec5050d2df970b60e512818e913 | Python | qrk1/lpthw | /ex14.py | UTF-8 | 1,688 | 4.4375 | 4 | [] | no_license | #import the argv function from the sys module
from sys import argv
# assigns the variables that argv will use. The first one is
# reserved for the name of the script (program), that variable
# can be any names allowed in Python, does not have to be script.
script, user_name = argv
#creates a variable and assigns the ... | true |
a76e6a928498dc280e0ef96b51863928a2702be1 | Python | ryu022304/atcoder | /AtCoder_Beginner_Contest/041-050/048/a_atcoder_xxx_contest.py | UTF-8 | 49 | 2.78125 | 3 | [] | no_license | x = list(input().split()[1])
print('A'+x[0]+'C')
| true |
1d3764222354077533ea2ff4bb9c21fca916c076 | Python | WetzelVictor/cavity-modes | /reponse-forcee-animated/main.py | UTF-8 | 1,786 | 2.8125 | 3 | [] | no_license | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""
Modelisation et visualisation de la réponse acoustique
d'une cavité parallèlepipédique 2D parfaitement régléchissante
"""
""" === BIBLIOTHEQUES === """
import numpy as np
from matplotlib import pyplot as plt
import math
import classReponseForcee as repl
import colorGra... | true |
ce4192b381a69ca68f5b3b14d1b2021e5042282a | Python | SupunSSW/nb-face-app | /aio/voice.py | UTF-8 | 1,121 | 2.734375 | 3 | [] | no_license | import numpy as np
import cv2
import speech_recognition as sr
from PIL import Image
import imagehash
r = sr.Recognizer()
with sr.Microphone(0) as source:
r.adjust_for_ambient_noise(source)
print("SAY Next or Previous")
audio = r.listen(source)
try:
a = r.recognize_google(audio)
print("a")
except:
pass
... | true |
906d57c45d2b821bddd1ed6d143b3446b4d134dc | Python | Taoge123/OptimizedLeetcode | /LeetcodeNew/python2/LC_1526.py | UTF-8 | 4,299 | 3.90625 | 4 | [] | no_license | """
1526.Minimum-Number-of-Increments-on-Subarrays-to-Form-a-Target-Array
解法1： 线段树
直观上说比较容易想到贪心的解决方案。第一步，我们肯定会挑选全局最小的元素target[i]，然后让整个数组都增加target[i]。此后任何操作都不可横跨整个数组。我们会选择递归处理[0:i-1]和[i+1:n-1]这两个区间。方法也类似，就是在[0:i-1]这个区间内找到最小的元素target[j]，让这段区间都增加至target[j]，既然我递归处理[0:j-1]和[j+1:i-1]这两个区间...
所以上述方法的难点在于快速挑选一段区间内的最小元素和它所在的位置... | true |
56c714ebb67e192eaa56133858c238566b18d2b2 | Python | Omeyco/omeybot | /t.py | UTF-8 | 3,647 | 2.78125 | 3 | [] | no_license | #!/usr/bin/python
# -*- coding: utf-8 -*-
import sys
import time
import random
import datetime
import telepot
import db
import urllib2
import json
def handle(msg):
chat_id = msg['chat']['id']
command = msg['text'].split(' ')[0]
if command=='/start':
message = """
<b>Bienvenido a Ome... | true |
4e6343995bfc31c42a73afd1ea034f0d0f9e7349 | Python | heitorchang/learn-code | /battles/fights/franciraldo_20170629.py | UTF-8 | 1,234 | 3.453125 | 3 | [
"MIT"
] | permissive | def addDigits(a, b, n):
rem = a % b
result = []
result.append(str(a))
for i in range(n):
best = -1
for digit in range(9, -1, -1):
if (rem * 10 + digit) % b == 0:
best = digit
break
if best == -1:
break
result.appen... | true |
34e1725d501cc602b4fc87af04b681d703cfa9f6 | Python | shaunagm/personal | /data_analysis/Mar2013/build/sunlight/examples/cross-api/death-metal | UTF-8 | 1,259 | 2.90625 | 3 | [
"MIT",
"BSD-3-Clause"
] | permissive | #!/usr/bin/env python
# Copyright (c) 2012, BSD-3 clause, Sunlight Labs
from sunlight import capitolwords
from sunlight import congress
phrase = "death metal"
# Today, we'll be printing out the Twitter IDs of all legislators that use
# this phrase most in the congressional record.
for cw_record in capitolwords.phras... | true |
7610f13aa7bac20ab16f92d3a446d20e0e61adb0 | Python | archu2020/python-2 | /DeepLearning/Verification_code_identification/create_captcha.py | UTF-8 | 3,025 | 3.1875 | 3 | [
"Apache-2.0"
] | permissive | '''
学校验证码自动生成工具
create by Ian in 2018-3-5 10:31:47
'''
import random
import sys
from PIL import Image, ImageDraw, ImageFilter, ImageFont
import os
class MyGaussianBlur(ImageFilter.Filter):
name = "GaussianBlur"
def __init__(self, radius=2, bounds=None):
self.radius = radius
s... | true |
3e9ca0a8d378d03c4ae3aa580c4f1e8b12d42953 | Python | saimkhan92/Recursion | /list_sum_recursive.py | UTF-8 | 194 | 3.65625 | 4 | [] | no_license | # Sum of a python list using recursion
l=[2,5,2,6,88,4,6,8,7]
def listsum(lst):
if len(lst)==1:
return lst[0]
else:
return lst[0]+listsum(lst[1:])
print(listsum(l))
| true |
1329500ffb0a58cd205bc2051578d910d0862c14 | Python | wupsi/PP2_2021_Summer | /Practice/PP2 Midterm V1, 2021/C.py | UTF-8 | 168 | 3.40625 | 3 | [] | no_license | arr = list(map(int, input().split()))
cnt = 0
for i in range(len(arr)):
for j in range(i + 1,len(arr)):
if arr[i] == arr[j]:
cnt += 1
print(cnt) | true |
0d2fdeeef461fdda085191ce87e9d3943f6822cf | Python | mindspore-ai/models | /research/cv/frustum-pointnet/train/box_util.py | UTF-8 | 9,236 | 2.984375 | 3 | [
"Apache-2.0",
"LicenseRef-scancode-unknown-license-reference",
"LicenseRef-scancode-proprietary-license"
] | permissive | # Copyright 2022 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... | true |
1960013106ec8946008495c225f968843539bf6b | Python | Vittorio-Veneto-www/StudentManagement | /core.py | UTF-8 | 5,052 | 2.765625 | 3 | [] | no_license | class core():
class student_data():
def __init__(self, properties):
self.values = {}
for i in properties:
self.values[i] = None
def dict(self):
return self.values
def changeValue(self, valuedict):
for key in valuedict.... | true |
795e7963cf37f208562c7e7cd6a6921452126710 | Python | qlh2561808384/Madison | /src/main/java/com/longshao/madison/Utils/python/test.py | UTF-8 | 945 | 2.9375 | 3 | [] | no_license | #_*_coding:utf-8_*_
import sys
import json
if __name__ == '__main__':
print('------------------------begin---------------------------')
#Get the parameter list
parameterList=sys.argv[1]
# parameterList1 = sys.argv[2]
# parameterList = {"test":1,"test1":"qlh"}
# json解析并按key排序
print(parameter... | true |
cee2bcf0fabc28d9bc268f65a3eaeca3ede62dee | Python | CTaylor5299/App_Project | /test/test_unit.py | UTF-8 | 2,868 | 2.515625 | 3 | [] | no_license | import unittest
from flask import url_for
from flask_testing import TestCase
from application import app, db
from application.models import Teams, Players
class TestBase(TestCase):
def create_app(self):
app.config.update(SQLALCHEMY_DATABASE_URI="mysql+pymysql://root:root@35.242.182.10/fpl",
SEC... | true |
69afbf8d9c63fd863343ee74845a7a74a16b6455 | Python | Cinofix/secml | /src/secml/ml/scalers/tests/c_scaler_testcases.py | UTF-8 | 2,413 | 2.84375 | 3 | [
"Apache-2.0"
] | permissive | from secml.testing import CUnitTest
from secml.array import CArray
from secml.ml.tests import CModuleTestCases
class CScalerTestCases(CModuleTestCases):
"""Unittests interface for Normalizers."""
def _compare_scalers(self, scaler, scaler_sklearn,
array, convert_to_dense=False):
... | true |
84fbeb19825ed01a628ec192a5436e206bc8b521 | Python | Aollarve/Wallbreakers | /Week_2/happy-numbers.py | UTF-8 | 333 | 3.0625 | 3 | [] | no_license | class Solution:
def isHappy(self, n: int) -> bool:
l_nums = []
while(n != 1):
str_n = str(n)
l_nums.append(str_n)
n = 0
for x in str_n:
n += int(x)*int(x)
if str(n) in l_nums:
return False
... | true |
e8042c4c726a185b074a12c191b98d71478dca30 | Python | maodan-maodan/test | /selftype/选择性粘贴.py | UTF-8 | 1,422 | 3.6875 | 4 | [] | no_license | #拷贝对应条件的文件，从需要拷贝的文件夹，至对应文件夹，文件夹需提前创建
#导入函数库
import os
import shutil
#创建复制函数
def copyfile(fromwhere,towhere,filetype):
#fromwhere是需要拷贝文件的原地址
#towhere是需要拷贝至的目的地
#filetype是需要拷贝的文件类型，类似“.txt”,“.log”,“.ini”这种
for foldername, subfoldernames,filenames in os.walk(fromwhere):
for filename i... | true |