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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
2435df09cc95520ba443b9f3c0ee710fe8d73d56 | Python | thaisfreitas/intro-to-pytest | /tests/test_multiplication.py | UTF-8 | 895 | 3.671875 | 4 | [] | no_license | import pytest
# --------------------------
# Multiplication test ideias
# --------------------------
# two positive integers
# identity: multiplying any number by 1
# zero: multiplying any number by 0
# positive by a negative
# negative by a negative
# multiply floats
# --------------------------
def test_multiply_... | true |
4bbacd461189d7c2fbe397c3c35d68ca744ba6ce | Python | PRIVATpython/shop_bot | /db/db.py | UTF-8 | 1,139 | 2.515625 | 3 | [] | no_license | from pymongo import MongoClient
from settings import MONGO_DB_LINK, MONGO_DB
client = MongoClient(MONGO_DB_LINK)
db = client[MONGO_DB]
def get_or_create_user(user_data):
'''Создание/получение юзера'''
user = db.users.find_one({'user_id': user_data.id})
if user :
if user['username'] != user_data.u... | true |
27377b39303053c3aab87962384aaa9928c05742 | Python | MirrorN/NLP_beginner | /Dive_into_DL/mlp2.py | UTF-8 | 2,361 | 2.796875 | 3 | [] | no_license | import torch
import torch.nn as nn
import torch.optim as optim
import numpy as np
import torch.utils.data as Data
import torchvision
import torchvision.transforms as transforms
'''
GPU 版本
除了model 和 loss_function 以及训练数据转移到GPU之外
记的 evaluate 的时候也要把数据转移！
'''
# 获取数据集
mnist_train = torchvision.datasets.FashionMNIST(root='.... | true |
e87894d5a45649af0efb5146a19da10ac38dcc90 | Python | SamT123/VectorSim | /scripts/old/forward_time/linkage_functions.py | UTF-8 | 4,213 | 2.671875 | 3 | [] | no_license | import itertools
import numpy as np
import simuPOP as sim
import itertools
from simuPOP.sampling import drawRandomSample
def calculate_estimates(param_dict, m, repeats, vary = False,):
if vary:
print('\t',vary[0], " simulations")
param_dict[vary[0]] = vary[1]
param_combos = list(itertools.... | true |
5d57cea51b2125f4965edc60a117ae745f6ffa69 | Python | JannaKim/PS | /dp/review/12865_평범한배낭1104.py | UTF-8 | 556 | 3.359375 | 3 | [] | no_license | N, K = map(int, input().split())
P = []
for _ in range(N):
a, b = map(int, input().split())
P.append((a,b))
# dp[i][j]: 0~i 물건들 중에서 무게 j 이하로 가져갈 때 가져갈 수 있는 최대 가치
dp = []
[dp.append([0]*(K+1)) for _ in range(N)]
for i in range(N):
for j in range(K+1):
if P[i][0]<=j:
dp[i][j] = max(dp[i-1... | true |
3e43b6037bea0837b2cfadd5dc4f596fce85b162 | Python | Alphadelta14/python-compile-engine | /compileengine/decompiler.py | UTF-8 | 2,936 | 3.34375 | 3 | [
"MIT"
] | permissive |
from expression import ExpressionBlock
class Decompiler(ExpressionBlock):
"""Base Decompiler class for building expression blocks from a stream
Attributes
----------
handle : readable
File handle to read from. This should be seeked to the start of
the expression.
start : int
... | true |
2043a2ae54412c4f0a2d9023466eac2ab63ba15e | Python | neel145512/pytholog-family-tree | /Neel_Ex1.py | UTF-8 | 6,770 | 3.328125 | 3 | [] | no_license | #!/usr/bin/env python
# coding: utf-8
# In[1]:
# Author : Neel V Zadafiya (1115533)
#Import required libraries
import pytholog as pl
# In[2]:
# Define class
class SimpsonFamily:
# Constructor function
def __init__(self):
# Set knowledge base
self.family_base = pl.KnowledgeB... | true |
a4bd6c4030cc4e74523227a6727d860140252648 | Python | jsshim24/school-work | /Intro to Programming/Assignments/Assignment 5/ShimJunSeob_assign5_part3b.py | UTF-8 | 588 | 4.09375 | 4 | [] | no_license | """
Assignment #5, Part 3b
Jun Seob Shim
15/10/2020
Intro to Programming Section 012
Find all prime numbers between 1 and 1000
"""
import math
#start with 2
print("2 is a prime number!")
#up until 999
for a in range(2,1000):
#for determining whether number is prime at the end
prime ... | true |
649fc0a984524b03e2c8991625006a57c9c9b9ca | Python | eightnoteight/compro | /codejam/2016/qualifiers/CoinJam.py | UTF-8 | 624 | 2.765625 | 3 | [] | no_license | def main():
s = '1{}1'
for t in xrange(1, 1 + int(raw_input())):
n, j = map(int, raw_input().split())
n -= 2
print 'Case %d:' % t
for x in xrange(2**n):
facs = []
num_s = s.format(bin(x)[2:].zfill(n))
for y in xrange(2, 11):
num... | true |
7507cebcf42f1b69bca5c3408562785a86d3cd67 | Python | aircov/recmd_proj | /machine_learning/预测房价/house_price_prediction.py | UTF-8 | 2,796 | 2.828125 | 3 | [
"Apache-2.0"
] | permissive | # -*- coding: utf-8 -*-
"""
@time : 2020/10/15
@author : 姚明伟
"""
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import os
from sklearn.linear_model import LinearRegression
from sklearn.neighbors import KNeighborsRegressor
from sklearn.svm import SVR
from sklearn.linear_model import Lasso
from ... | true |
2af48a5a89d415d75c58adab8121d9dbe8fb0a7d | Python | RaphaelLarouche/radiance_endoscope_v3 | /threadfile.py | UTF-8 | 4,099 | 2.703125 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
File with of threads.
"""
from PyQt5 import QtWidgets, QtCore, QtGui
import imu_sensor
import radiance
import time
from ximea import xiapi
import numpy as np
class Euler(QtCore.QThread):
"""
"""
my_signal = QtCore.pyqtSignal(float, float, float)
def __init__(self):
... | true |
21defbefa45400b89a563bedb0d1ab4f0563b28e | Python | rzhang404/AOC2020 | /Day 24/part_2.py | UTF-8 | 2,402 | 3.40625 | 3 | [] | no_license | fo = open("input.txt","r")
raw = fo.read()
strs = raw.split()
grid = set()
for tile in strs:
mod = ""
x, y = 0, 0 # collapse to ne and e axes
for char in tile:
if char == "n" or char == "s":
mod = char
else: #
if char == "e":
if mod == "n":
... | true |
db380907588f8232c2ebeff7015926c835cbf141 | Python | dsharp32/wine_ordering | /send_loop.py | UTF-8 | 829 | 2.875 | 3 | [
"MIT"
] | permissive | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue May 26 15:51:14 2020
@author: user
"""
import send_message_gmail as sm
def send_loop(email, company, body,po,cc_email,bcc_email):
num_loops = 0
try:
sm.send_message(email, company, body,po,cc_email,bcc_email)
except OSError:
... | true |
466e183ef9dfaec57a2e97811ba6b4a8aa64b3da | Python | nikasnizhko/python_beetroot | /lesson7_homework.py | UTF-8 | 418 | 4.5625 | 5 | [] | no_license | #Task.1 Dict comprehension exercise.
user_input = input("Enter your text: ")
text = user_input.split()
new_dict = {word: text.count(word) for word in text}
print(new_dict)
#Task.2 List comprehension exercise I
a = [1, 4, 9, 16, 25, 36, 49, 64, 81, 100]
b = [number for number in a if number%2 != 0]
print(b)
#... | true |
b093686c5cd6f8be54b21af0ed040ae67fa7d343 | Python | ppatali/cci-book | /ch01-arrays-strings/Q04PalindromePermutation.py | UTF-8 | 680 | 4.0625 | 4 | [] | no_license | from collections import Counter
def IsPalindromePermutation(input: str) -> bool:
counter = Counter()
oddCount = 0
for c in input:
c = c.lower()
if ord('a') <= ord(c) and ord(c) <= ord('z'):
counter[c] += 1
if (counter[c] % 2 == 1):
oddCount += 1
... | true |
15e8d0a5d741e2154f0172cd8dc8114e98339257 | Python | BushuBushu/TIL-for-soyoungJung | /Inflearn/Section04/04_마구간 정하기/AA.py | UTF-8 | 1,668 | 3.203125 | 3 | [] | no_license | import sys
#sys.stdin = open('input.txt','r')
'''
def Check(midd):
for i in range(2, len(zero + 1)):
if zero[i] == 1:
N, C = map(int, input().split())
xi = []
for _ in range(N):
xi.append(map(int, input().split()))
#x좌표의 가장 큰 부분까지의 리스트
zero = [0] * (max(xi) + 1)
#1번째 인덱스가 1이라면, x1번째 마구간
... | true |
bd8b9798e99bfc15e12c23684833fddf975efc8a | Python | MirzaMulaosmanovic/slackoff | /slackoff/threadfactory.py | UTF-8 | 274 | 2.671875 | 3 | [] | no_license | import threading
def default_factory(target, name=None, as_daemon=True, args=None):
"""
default thread factory, used to create threads as daemon
"""
t = threading.Thread(target=target, name=name, args=args or [])
t.setDaemon(as_daemon)
return t
| true |
dc26659af8b7acd21b6a2820ad2f318631d4d461 | Python | ngraymon/494_dev | /Code/pathbuilder_PIGS.py | UTF-8 | 5,258 | 2.609375 | 3 | [] | no_license | from MMTK import *
from PIGSHarmonicOscillatorFF import PIGSHarmonicOscillatorForceField
from MMTK.ForceFields.ForceFieldTest import gradientTest, forceConstantTest
from MMTK_PIGSNormalModeIntegrator import PIGSLangevinNormalModeIntegrator
from MMTK.Environment import PathIntegrals
... | true |
6e98c44fe3df16ab7a3a2134cbd0310ee9044623 | Python | TEAMLAB-Lecture/morsecode-glowing713 | /morsecode.py | UTF-8 | 4,333 | 3.625 | 4 | [] | no_license | # -*- coding: utf8 -*-
import re
# Help Function - 수정하지 말 것
def get_morse_code_dict():
morse_code = {
"A": ".-", "N": "-.", "B": "-...", "O": "---", "C": "-.-.", "P": ".--.", "D": "-..", "Q": "--.-", "E": ".",
"R": ".-.", "F": "..-.", "S": "...", "G": "--.", "T": "-", "H": "....", "U": "..-", "I":... | true |
77b09eb97f73b271940c53aee88f5246546d6a4b | Python | amelialutz9/CSSI | /FirstPython/groceries.py | UTF-8 | 819 | 3.78125 | 4 | [] | no_license | from random import randint
def get_groceries():
groceries=[]
amount=[]
count=0
num=int(raw_input("How many groceries do you need? "))
for i in range(num):
food=raw_input("What food do you need? ")
num_food=int(raw_input("How many do you need? "))
if (count==0):
g... | true |
3a93d79c46e79dab7b75866da17cb8ba596cdffc | Python | projekt-fredrika/Fredrikas-Lupp | /scripts/pywikibot/csv-add.py | UTF-8 | 16,999 | 3.328125 | 3 | [
"MIT"
] | permissive | #!/usr/bin/python3
# -*- coding: utf-8 -*-
"""
Script for adding pages to categories and simpliying names based on csvfile.
Devloped for use in cleaning up island pages on svwiki
and adding them to correct categories. Needs to be modified to
support using with other categories/use cases.
Script reads each page from ... | true |
4753735b1deb3c7e8edf5317ba7b8c684948ae4a | Python | yz5201214/python_study | /chapter6/spider_office-cookie-case01/spider-authCode-case12.py | UTF-8 | 273 | 2.796875 | 3 | [] | no_license | '''
识别简单图片验证码
'''
from PIL import Image
import pytesseract
def test01():
# 图片实例
image = Image.open(r'f:/4.png')
# 转换后的结果
text = pytesseract.image_to_string(image)
print(text)
if __name__ == '__main__':
test01() | true |
27e1e8392c6ca079045025e53bf13bc17ad520d0 | Python | haibonlp/LeaPI | /leapi/classifiers/sklearn_classifier.py | UTF-8 | 1,818 | 2.5625 | 3 | [] | no_license | # coding:utf-8
import sys
from sklearn.linear_model import LogisticRegression
from time import time
from sklearn.feature_extraction import DictVectorizer
from sklearn.naive_bayes import BernoulliNB, MultinomialNB, GaussianNB
from sklearn.ensemble import ExtraTreesClassifier
from sklearn.svm import SVC
import numpy as... | true |
d485182fb098069fda7c95cfcb17dd2a45490225 | Python | johncava/iccv_2019 | /legacy/rename_jpg.py | UTF-8 | 370 | 2.53125 | 3 | [] | no_license | import os
import glob
import numpy as np
import sys
directory = sys.argv[1]
csv_input_path='./' + directory + '/*.jpg'
files = glob.glob(csv_input_path)
p = []
for file_ in files:
num = int(file_.split('/')[-1].split('.jpg')[0])
p.append((num,file_))
files = sorted(p,key=lambda x: x[0])
i=1
for f in files:
... | true |
27d834e27287dd15395b991fdfff0bc274512e9d | Python | HarshaaArunachalam/GUV | /code/48.py | UTF-8 | 159 | 3.3125 | 3 | [] | no_license | number=int(input())
count=0
L=[]
for i in range(1,number+1):
if((number%i)==0):
L.append(i)
for j in L:
if((j%2)!=0):
print(j,end=" ")
| true |
d0dffb14e3d1349aaf0c4f3fa4cc3102af9620e5 | Python | zhaonian/Camera-Finder | /Camera Localization/ProjectionEstimator.py | UTF-8 | 4,432 | 2.65625 | 3 | [] | no_license | import math as m
import numpy as np
import lmfit as lf
NUM_POINT_REFERENCE = 5
class ProjectionEstimator:
def __init__(self):
return
def __t_rot(self, rx, ry, rz):
m_rx = np.matrix([[1, 0, 0],
[0, m.cos(rx), -m.sin(rx)],
... | true |
63089f61394dada3f80dc661134eb7412fc353eb | Python | lyllbl/hello-world | /CCA175/R1/Python/Spark66_RDD.py | UTF-8 | 452 | 2.75 | 3 | [] | no_license | from pyspark.sql import SparkSession
spark = SparkSession.builder.enableHiveSupport().getOrCreate()
sc = spark.sparkContext
sc.setLogLevel("ERROR")
a = sc.parallelize(["dog", "tiger", "lion", "cat", "spider", "eagle"], 2)
b = a.keyBy(lambda item:len(item))
c = sc.parallelize(["ant", "falcon", "squid"], 2)... | true |
c198aca6625598cf7f65ec78dd45b4d6454e33b1 | Python | markraemer/mH-PriSe | /apk/checkObfuscation.py | UTF-8 | 3,956 | 2.640625 | 3 | [
"MIT"
] | permissive | #!/usr/bin/python
# KK, January 2015
# MK Jul 2016
# The script checks if an APK used Proguard obfuscation and outputs a probability
from androguard.core.bytecodes import apk
from androguard.core.bytecodes import dvm
# from androguard.decompiler.dad import decompile
from collections import defaultdict
from db.Apps i... | true |
330565a9661d58e7e4c76c5ef39efc811d5ac455 | Python | Michael-Wisniewski/algorithms-unlocked | /chapter 2/4_factorial.py | UTF-8 | 497 | 4.125 | 4 | [] | no_license | def factorial(n):
"""Time complexity - O(n), memory consumption - O(n) *
* For small numbers where:
- multiplication time complexity is O(1)
- integer variable size is constant
To check maximum available recursion depth run:
import sys
print(sys.getrecursionlimit())
>>> factorial(... | true |
0b1a00fa40237da6b1656644d1d5dc838464fdd6 | Python | ch0r1es-1n-ch0rge/starting_out_with_Python | /Chapter 3 - Programming Exercises/CH:3 - Roulette Wheel Colors.py | UTF-8 | 1,497 | 4.84375 | 5 | [] | no_license | # On a roulette wheel, the pockets are numbered from 0 to 36. The colors of the pockets are as follows:
# - Pocket 0 is green.
# - For pockets 1 through 10, the odd-numbered pockets are red and the even-numbered pockets are black.
# - For pockets 11 through 18. the odd-numbered pockets are black and the even-numb... | true |
fd9a80daf3dae48976f5e63e30b86f55e2777ebf | Python | dr-dos-ok/Code_Jam_Webscraper | /solutions_python/Problem_201/1861.py | UTF-8 | 1,268 | 3.03125 | 3 | [] | no_license | import sys
def readFile(flname):
lines = open(flname).read().split("\n")
outputfl = open("output.txt","w")
testAmount = int(lines[0])
for i in range(1,len(lines)-1):
curTest = lines[i].split(" ")
(y,z) = solveSpecificRow(int(curTest[0]), int(curTest[1]))
outputfl.write("C... | true |
aec79e082c5a05b2c2bc91174b98740b121732b5 | Python | DeepWalter/python-projects | /alien_invasion/ship.py | UTF-8 | 4,123 | 4.125 | 4 | [] | no_license | import pygame
from pygame.sprite import Sprite
class Ship(Sprite):
"""A class used to represent the ship.
Attributes
----------
ai_settings: Settings
All settings in alien invasion
image: pygame.Surface
The image of the ship
rect: pygame.Rect
Rectangular coordinates of... | true |
6a81998c6395d93b7c3f8fba877818af87035497 | Python | srbcheema1/remote-validator-websockets | /spike/hello/server.py | UTF-8 | 402 | 2.703125 | 3 | [] | no_license | #!/usr/bin/env python3.6
import asyncio
import websockets
async def hello(conn, path):
name = await conn.recv()
print(type(name))
print("got : " , name)
greeting = "Hello " + name.decode('ascii')
await conn.send(greeting)
start_server = websockets.serve(hello, 'localhost', 8765)
asyncio.get_eve... | true |
10de57406cd62e634c93908d53dbe175d82368f4 | Python | EfJot314/Konwerter-pdf | /main.py | UTF-8 | 2,132 | 3.15625 | 3 | [] | no_license | import tkinter as tk
from tkinter import filedialog as fd
from PIL import Image
class Application():
def __init__(self):
self.path = []
self.im = []
self.root = tk.Tk()
self.root.title("Konwerter PDF")
self.root.geometry('700x600')
self.przew = tk.Scro... | true |
bafb331540e299307c22f1f1bd5199df6f68ec92 | Python | igaryok/stepik_python | /ciper.py | UTF-8 | 662 | 2.984375 | 3 | [] | no_license | def main():
orig_alphabet = input()
ciper_alhpabet = input()
orig_message = input()
ciper_message = input()
dic_ciper = {}
dic_unciper = {}
for i in range(len(orig_alphabet)):
dic_ciper[orig_alphabet[i]] = ciper_alhpabet[i]
for i in range(len(ciper_alhpabet)):
... | true |
511a81e178b6ebc8af69b10d61979ec8c275045d | Python | loganrf/currency | /currency.py | UTF-8 | 573 | 3.125 | 3 | [
"BSD-2-Clause"
] | permissive | def parseCode(codeString):
findIndex = codeString.find(',')
if(findIndex!=-1):
indices = [findIndex]
while(findIndex!=-1):
findIndex = codeString.find(',',indices[-1]+1)
if(findIndex!=-1):
indices+=[findIndex]
codes = []
startIndex = 0
for i in range(len(indices)):
codes+=[codeString[startIn... | true |
a6f020d29a3827fa538012aefefd263ced0ba3e2 | Python | Abhinavsuresh21/python- | /arithmetic/abhi.py | UTF-8 | 26 | 2.953125 | 3 | [] | no_license | a=5
b=6
c=a+b;
print(c) | true |
c0cb36a4c2cba8b4ee9ecb5c42a9c2d747223bd9 | Python | h4ckd0tm3/mangekyou-cli | /mangekyou/core/facematch.py | UTF-8 | 1,988 | 2.546875 | 3 | [] | no_license | import numpy as np
import face_recognition
from typing import *
from mangekyou.core.config import Config
from mangekyou.beans.profile import Profile
class Facematch():
config: Config
def __init__(self, config: Config):
self.config = config
def load(self, image: str):
return face_recogni... | true |
54b65298ebb085ea7a9935d966d7e250e22ed717 | Python | Suliv4n/pokeapitodatabase | /pokeapi/provider.py | UTF-8 | 3,841 | 2.59375 | 3 | [] | no_license | import urllib.request
import json
import itertools
from _md5 import md5
import os.path
class PokeapiProvider:
def __init__(self):
self.__url = "http://pokeapi.co/api/v2/%s/%s"
self.__user_agent = " Mozilla/5.0 (Windows NT 6.1; WOW64; rv:12.0) Gecko/20100101 Firefox/12.0"
self.__charset... | true |
8b215e9398dd92fe238cbdf0a7d27ca8b34e04c8 | Python | aiguy110/advent-of-code-2020 | /day_14/solution2.py | UTF-8 | 1,583 | 3.109375 | 3 | [] | no_license | import sys
import re
def load_program(filename):
with open(filename) as f:
instructions = []
for line in f:
if line[:4] == 'mask':
instructions.append( ('mask', re.match(r'mask = ([01X]{36})', line).group(1)) )
else:
addr, val = map... | true |
c2c38ea6c39eb4da6c8e3552fd7f910f35f52635 | Python | gittyy1310/guvi-code-kata | /natural.py | UTF-8 | 64 | 3.46875 | 3 | [] | no_license | n=int(input())
x = 0
while(n > 0):
x=x+n
n=n-1
print(x)
| true |
bfec886a1634104fc562c9544169fc0ed403b675 | Python | EnderGuy999/theCalculatoreOne | /main.py | UTF-8 | 1,163 | 3.078125 | 3 | [] | no_license | import sys
import traceback
from Feedback import feedback
from addingStuff import Starfish
from subtractingStuff import Seahorse
def intruck():
print("***************************************************")
print("* Type the number for the corresponding function. *")
print("* 1: + ... | true |
6c6ac44ad438f741483ba30994f0f414887c9e2e | Python | haru2036/autofav | /scripts/JsonFile.py | UTF-8 | 346 | 2.78125 | 3 | [] | no_license | #!/usr/bin/env python
# -*- coding: utf-8 -*
import json
class JsonFile:
def __init__(self,filepath):
self.filepath=filepath
def Read(self):
with open(self.filepath,'rb') as f:
return json.load(f)
def Write(self,contentIn):
with open(self.filepath,'wb') as f:
... | true |
dac4eddbee0a0a767e2a3251aad54d9be475cba8 | Python | HuiwonKo/dev | /python/Pro_0626_Huiwon_2.py | UTF-8 | 287 | 3.53125 | 4 | [] | no_license |
list_1 = [2,4,7,9]
list_2 = [8,6,4,2]
k = 10
"""
print('output:')
for i in list_1:
for j in list_2:
if i+j == k:
print(i j)
"""
for i in list_1:
if k-i in list_2:
print(i, k-i)
#print(''.join["%d,%d" % (i, k-i) for i in list_1 if k-i in list_2]) | true |
80eb4aae7d76740aa381e4222600092567d2807e | Python | Aasthaengg/IBMdataset | /Python_codes/p03282/s880742515.py | UTF-8 | 218 | 2.84375 | 3 | [] | no_license | import sys
input = sys.stdin.readline
S = input()
K = input()
if len(S) <= int(K):
a = len(S)
else:
a = int(K)
for i in range(a):
ans = S[i]
if ans != '1':
print(ans)
exit()
print(ans)
| true |
a3419e1f2e2a10731ee6b903baeaf69f92dd289d | Python | GabrielVDN/tkinter-stock-tracker | /frames/update_stock.py | UTF-8 | 11,789 | 2.75 | 3 | [] | no_license | import tkinter as tk
from tkinter import ttk
from tkintertable import TableCanvas
import requests
from tkinter import messagebox
class UpdateStock(ttk.Frame):
def __init__(self, parent, controller):
ttk.Frame.__init__(self, parent)
self.controller = controller
# Center your Frame, all the... | true |
19146ec1c4579df03dda1d05eb54b1df80aad934 | Python | Wilson-ZHANG/chinese_ocr | /demo.py | UTF-8 | 1,338 | 2.6875 | 3 | [
"Apache-2.0"
] | permissive | #-*- coding:utf-8 -*-
import os
import ocr
import cv2
import time
import shutil
import numpy as np
from PIL import Image
from glob import glob
image_files = glob('./test_images/*.*')
#coors_files = glob('./test_coors/*.*')
def crop(image_path, coors, save_dir):
image_name = os.path.split(image_path)[1].split('.')[... | true |
da628422ad6a9236ab54e68e790ea858d8532153 | Python | Explorer1092/biubiubiu | /python/S学习/day1/day1 code/列表练习题.py | UTF-8 | 1,755 | 4.09375 | 4 | [] | no_license | #!/usr/bin/env python
# -*- coding:utf-8 -*-
"""
@version: 1.0
@author: shen
@file:列表练习题.py
@time: 16-3-13 上午12:24
读取一个字符串,计算每个字母出现的个数
方案一: 生成26个变量,代表每个字母出现的个数
方案二:生成具有26个元素的列表,将每个字母转化为相应的索引值,如a-0,b-1...
"""
# 方案二实现:
count = [0] * 26
for i in 'abcdeadbe':
count[ord(i) - 97] += 1 # ord参数是一个字符,返回他对应的整数
print(cou... | true |
fb2d3fcd391457c62cf1a4d1b443b488fe08dac1 | Python | Alireza-Akhavan/face_squeeze_resnet_model | /centerloss.py | UTF-8 | 2,697 | 2.5625 | 3 | [] | no_license | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from keras.datasets import mnist
import functools
import keras.backend as K
from keras.utils import to_categorical
import tensorflow as tf
import numpy as np
img_rows, img_cols = 28, 28
def _center_loss_func... | true |
d2a90f6a3bfa56eb0f49cd81ab2f1550c59ccc5a | Python | gitter-badger/AgentNet | /agentnet/environment/session_batch.py | UTF-8 | 3,838 | 2.734375 | 3 | [
"MIT"
] | permissive | from theano import tensor as T
from ..objective import BaseObjective
from ..environment import BaseEnvironment
import numpy as np
import theano
from collections import OrderedDict
from ..utils import create_shared,set_shared, insert_dim
from ..utils.format import check_list
class SessionBatchEnvironment(BaseEnvironm... | true |
df59b9030565151bae3c67c3a065757c74791658 | Python | trolllabs/trollsim | /backend/misc.py | UTF-8 | 6,356 | 3 | 3 | [
"BSD-2-Clause"
] | permissive | """
.. module:: misc
The misc module contains a collection of smaller tools which does not
fit any of the other categories (endpoints, protocols, processors,
patterns etc...)
"""
import struct, json, argparse, sys, logging, os
class ArgparseHelper(argparse.ArgumentParser):
"""
Prints help when flags or program ar... | true |
a8c80a106a9be231ea2089652c799aee185f52a4 | Python | Fadhs/itp112 | /practical8/4.py | UTF-8 | 375 | 4.09375 | 4 | [] | no_license | try:
number_file = open('numbers.txt', 'r')
sum = 0
count = 0
for number in number_file:
sum += int(number)
count += 1
except IOError:
print('File cannot be found')
except ValueError:
print('Invalid integer')
except:
print('An unknown error occured')
else:
print('There ar... | true |
5c375b1f432815ff0b6b6951c7e8432de23a3e5f | Python | awfeequdng/Reinforcement_Basic_to_Pro | /Basic_Gym_SingleAgent_Envs/random_search.py | UTF-8 | 1,171 | 3.3125 | 3 | [] | no_license | import numpy as np
import gym
import matplotlib.pyplot as plt
def random_action(s, w):
return 1 if s.dot(w) > 0 else 0
def play_one_episode(env, param):
observation = env.reset()
t = 0
done = False
while not done and t < 10000:
# env.render()
t += 1
action = random_action... | true |
528a14a2bd540b9c9644231b4e2998c01dd7470a | Python | Kawser-nerd/CLCDSA | /Source Codes/AtCoder/arc066/A/4123789.py | UTF-8 | 664 | 2.59375 | 3 | [] | no_license | N=int(input())
ans=None
tmp=0
z=1
if(N%2==0):
tmp=int(N/2)
ans=[2 for i in range(tmp)]
A=map(int,input().split())
for i in A:
if(int(i/2)<=int(N/2)):
ans[int(i/2)-1]-=1
else:
print(0)
exit()
else:
tmp=int(N/2)
ans=[2 for i in... | true |
9e2642bde8df73a8957e66c10425a5ad88e04325 | Python | chenlinlin6/Resuable_codes | /evaluate_model.py | UTF-8 | 1,082 | 2.515625 | 3 | [] | no_license | def get_ks(y_true, y_prob, thresholds_num=250):
# 生成一系列阈值
thresholds = np.linspace(np.min(y_prob), np.max(y_prob), thresholds_num)
def tpr_fpr_delta(threshold):
y_pred = np.array([int(i>threshold) for i in y_prob])
tn, fp, fn, tp = confusion_matrix(y_true, y_pred).ravel()
... | true |
361de9ab4d793bd2dbf1c10eb83044293becd1da | Python | mateimicu/ag_frame | /ag_frame/selections/turneu.py | UTF-8 | 947 | 3.046875 | 3 | [] | no_license | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Roata norocului.
"""
from ag_frame.selections import base
class Turneru(base.BaseSelection):
"""The fittest ones have the higher chance."""
_name = "Turneu"
def __init__(self, representaion):
"""Initialize an Selection algorithm.
:param ... | true |
c72d8d970d9029694c75e769334c08858d7bb195 | Python | mschoch/testrunner | /scripts/collect_server_info.py | UTF-8 | 3,390 | 2.515625 | 3 | [] | no_license | import getopt
import sys
import time
from threading import Thread
from datetime import datetime
sys.path.append(".")
sys.path.append("lib")
from remote.remote_util import RemoteMachineShellConnection
import testconstants
import TestInput
import logger
def usage(error=None):
print """\
Syntax: collect_server_info.... | true |
8162704ec96376e351d46c0eeea2992e45f04093 | Python | HongquanZhang9/Ramen | /src/average_star_country.py | UTF-8 | 1,840 | 3.171875 | 3 | [] | no_license | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt # for visualisation
import seaborn as sns # for visualisation
ramen_data = pd.read_csv('../data/ramen-ratings.csv')
ramen_data['Stars'] = pd.to_numeric(ramen_data['Stars'], errors = 'coerce')
ramen_data['Brand'] = ramen_data['Brand'].str.l... | true |
d97d0f51cef3aa626d266ec1849be895e30fed47 | Python | biolink/ontobio | /ontobio/model/GolrResults.py | UTF-8 | 1,527 | 2.671875 | 3 | [] | permissive | from dataclasses import dataclass
from typing import Dict, List, Optional
@dataclass(frozen=True)
class Highlight:
highlight: str = None
match: str = None
has_highlight: bool = None
@dataclass
class SearchResults:
"""
Search results class from transformed solr results
docs: pysolr.Results.d... | true |
22bd5705af38235286b2144ef2f04298e919b8f5 | Python | Zenrac/yuna | /cogs/nsfw.py | UTF-8 | 2,933 | 2.71875 | 3 | [
"MIT"
] | permissive | import discord
from discord.ext import commands
import asyncio
import aiohttp
import requests
from colorthief import ColorThief
from io import BytesIO
import random
class NSFW():
"""These commands can only be used in NSFW-Marked Channels"""
def __init__(self, bot):
self.bot = bot
@com... | true |
e5bbf7deb6dea5308bc075c850fc98ff8518f73f | Python | Skinbow/LearnVocabulary | /ListRandomiser.py | UTF-8 | 745 | 3.453125 | 3 | [] | no_license | import random
class ListRandomiser:
def RandomizeList(list = [], dict = {}, randomizationType = ""):
if len(list) != 0:
newlist = list
random.shuffle(newlist)
return newlist
if randomizationType == "first" or randomizationType == "second":
randomKeys ... | true |
f16105b7f5efb97498feeb5fdf4ad9a5ca16ead1 | Python | takumiw/AtCoder | /ABC036/B.py | UTF-8 | 370 | 2.890625 | 3 | [] | no_license | import sys
readline = sys.stdin.readline
def main():
N = int(readline())
inp = [readline().rstrip() for _ in range(N)]
ans = [[None]*N for _ in range(N)]
for j in range(N):
for i in range(N-1, -1, -1):
ans[j][N-i-1] = inp[i][j]
ans = [''.join(l) for l in ans]
print(*ans... | true |
5969e90a30934589e5f8b50e7ca492ec2c5eb30c | Python | syurskyi/Python_Topics | /125_algorithms/_examples/100_Python_Exercises_Evaluate_and_Improve_Your_Skills/Exercise 48 - IndentationError NUKE.py | UTF-8 | 195 | 4.09375 | 4 | [] | no_license | #The script is supposed to print a string item if that item is character "l".
#Solution indent everything under an if statement
for letter in "Hello":
if letter == "e":
print(letter)
| true |
f0ecf7f963362b3bb9d75f148dc8b9bd663e089f | Python | CU-Boulder-Course/MLProjectBYZ | /code/preprocess_test_v1.py | UTF-8 | 799 | 2.609375 | 3 | [] | no_license | from csv import DictReader, DictWriter
import string
from nltk.stem.wordnet import WordNetLemmatizer
from nltk.corpus import stopwords
import csv
import json
from collections import defaultdict
punct = set(string.punctuation)
stop = stopwords.words('english')
stemmer = WordNetLemmatizer()
d = defaultdict(dict)
for ... | true |
2aacb6e79bf94e76bb41f2dc28470505a47ba6f5 | Python | bcveber/COSC101 | /lab8/Lab08_try2.py | UTF-8 | 3,665 | 3.765625 | 4 | [] | no_license | # Brodie Cohen, Brian Veber Lab 8
# Part 1
def main_encrypt():
'''
Asks for the Vigenere key to be used. Asks for the file to encrypt.
Saves encrypted file as encoded.txt.
'''
key = input('What is the Vigenere key you want to use? ')
txt_file = input('What is the name of the file to be encrypt... | true |
ad173e58d5b2dd444ffc91ed2bf756e9686d2742 | Python | Ovec/vs_project | /input.py | UTF-8 | 2,010 | 3.96875 | 4 | [] | no_license | """This is input reading module.
Input reading module suplies functions for reading values from stdin
and parse them to points.
"""
def parsePoint(pointInput):
"""Parse point to coordinates pair (list of two numbers).
Args:
pointInput (string): pointInput read from terminal
Returns:
li... | true |
d993b50378c4c08c099a95fd334bcba303b5ed96 | Python | minhdq99hp/dsa | /hackerrank/count-strings.py | UTF-8 | 2,885 | 3.390625 | 3 | [] | no_license | #!/bin/python3
import os
import sys
#
# Complete the countStrings function below.
#
def countCases(arr, remind, l):
"""
Input:
arr[]: contain the lengths of elements
remind[]: containt the result of countCases with l is the index of remind[].
l: length of required strings
Output:
... | true |
7a2906893a362e72b63bd7a3ba8af21341998fa5 | Python | JonathanMbt/SNA_Parking_Behavior | /src/botometerTopTen.py | UTF-8 | 1,800 | 2.703125 | 3 | [
"MIT"
] | permissive | import matplotlib.pyplot as plt
import botometer
from commands import *
from functions import *
import statistics as st
def scrutinize(hashtags):
rapidapi_key = "38940d0f3fmsh988bf0ed564bfb9p11f319jsn5db669988640"
twitter_app_auth = {
'consumer_key': 'J2vBhcxzmgI3AkyMVBW14cG4K',
'consumer_secr... | true |
011130f4857605a5b28d621693721863baddfa0b | Python | tiy-sat/scoots-python | /week1/PYPIGGY.py | UTF-8 | 4,311 | 3.375 | 3 | [] | no_license | cont='y'
#will be used to control while loop
piglist=[]
#will be used for `for` loop at the end.
vow = ('a', 'e', 'i', 'o', 'u')
def convert_word(word):
first = word[0] #first = the first letter of (word)
if first in vow: #checks i... | true |
0e209f8275fffe95e19d5c84b1c40be97dc8947a | Python | hyeonahkiki/startcamp | /file/navermusic.py | UTF-8 | 524 | 2.90625 | 3 | [] | no_license | import csv
import requests
from bs4 import BeautifulSoup
url = "https://music.naver.com/"
res = requests.get(url).text
soup = BeautifulSoup(res, 'html.parser')
tr = soup.select('tbody > tr')
with open("naver_music.csv", 'w', encoding='utf-8', newline = "") as f:
csv_writer = csv.writer(f)
for r in tr :
... | true |
e813030b55db207511ef02686121a69285e7e3ec | Python | VCloser/CodingInterviewChinese2-python | /45_SortArrayForMinNumber.py | UTF-8 | 781 | 3.8125 | 4 | [] | no_license | """
由于python3中sorted函数除去compare函数，无法自定义排序规则，所以使用内置的函数，将cmp函数转化为key的值
Note：
functools.cmp_to_key() 将 cmp函数 转化为 key。
cmp函数的返回值 必须为 [1,-1,0]
"""
from functools import cmp_to_key
def compare(strNum1, strNum2):
newStrNum1 = strNum1 + strNum2
newStrNum2 = strNum2 + strNum1
if newStrNum... | true |
3c93546524d6076f816a31e40d0f0639cc3fbd88 | Python | velwu/Fall20-Projects | /print_board.py | UTF-8 | 1,663 | 2.828125 | 3 | [] | no_license | import chess
#import sunfish
import math
import random
import pandas as pd
import sys
import chess.svg
import mechanics
# My IDE and test environments both use black backgrounds
# so on GitHub pages, chess icon colors might be flipped
# for clarification, uppercase means White, and lowercase means Black
... | true |
29675d8ac4a23b77c4ecd29abf88911b2ab7cba7 | Python | zhangfeng0812/quanta_competition | /使用GBDT+FM预测/gdbt_LR_stock_predict.py | UTF-8 | 4,267 | 2.703125 | 3 | [] | no_license | import pandas as pd
import numpy as np
import csv
from sklearn.preprocessing import OneHotEncoder
from sklearn.ensemble import GradientBoostingClassifier
from sklearn.linear_model import LogisticRegression
from sklearn.utils import shuffle
from sklearn.model_selection import train_test_split
import matplotlib.pyplot as... | true |
817467993c1760e83bd8bda488df44a9ae7b4eb8 | Python | cfg-london/team-9 | /backend/src/shared/entity.py | UTF-8 | 1,420 | 3.015625 | 3 | [] | no_license | import json
class Entity:
@staticmethod
def to_entity(entity, type, score=None):
ans = json.loads(json.dumps({'id':'', 'type':'', 'label':'', 'value':''}))
ans['type'] = type
ans['value'] = entity
if type == 'laureate':
ans['id'] = 'laureate_' + entity['id']
... | true |
fe3c24837c574502f6f3238c02ba0d5360c280dc | Python | EduardoSantos7/Algorithms4fun | /Leetcode/430. Flatten a Multilevel Doubly Linked List/solution.py | UTF-8 | 758 | 3.34375 | 3 | [] | no_license | """
# Definition for a Node.
class Node:
def __init__(self, val, prev, next, child):
self.val = val
self.prev = prev
self.next = next
self.child = child
"""
class Solution:
def flatten(self, head: 'Node') -> 'Node':
if not head:
return
temp = head
... | true |
e4fec584c15c8a2b508455bee3baab8341377a23 | Python | jingggo/Python_100Days | /Day16-20/Day016/code/ex5.py | UTF-8 | 223 | 3.359375 | 3 | [] | no_license | """
迭代工具 - 排列 / 组合 / 笛卡尔积
@Author:jyang
@Date:5/25/2019
"""
import itertools
print(itertools.permutations('ABCD'))
print(itertools.combinations('ABCDE', 3))
print(itertools.product('ABCD','123')) | true |
eb63eddfea554a2307aa732cb9fca104daf96a59 | Python | rafaelwitter/UFSC | /ESTRUTURA_DADOS/projeto_pessoa_filtragem/DAO/pessoa_id.py | UTF-8 | 337 | 2.609375 | 3 | [] | no_license | from DAO.abstract_DAO import DAO
from model.pessoa import Pessoa
class PessoaID(DAO):
def __init__(self):
super().__init__('DAO/pessoa_id.pkl')
def inclui(self, pessoa: Pessoa):
if (pessoa is not None) and (isinstance(pessoa.id, int)) and isinstance(pessoa, Pessoa):
super().add(pe... | true |
bda680e661baee71e2e3d61ab83e1333e8b79945 | Python | tkzky/python-opencv | /codes/test_27.py | UTF-8 | 451 | 3.125 | 3 | [] | no_license | '''
canny边缘检测
过程： 去噪、梯度、非极大值抑制、泄后阈值
edges = cv.Canny(img,threshold1,threshold2)
threshold1 minVal阈值1
threshold2 maxVal阈值2
阈值越小，边界越丰富
'''
import cv2 as cv
o = cv.imread('lena256.bmp',cv.IMREAD_GRAYSCALE)
r1 = cv.Canny(o,100,200)
r2 = cv.Canny(o,64,128)
cv.imshow('original',o)
cv.imshow('canny1',r1)
cv.im... | true |
b9f6d37d00018ee02774130543066513681644ef | Python | z1223343/Leetcode-Exercise | /100_206_ReverseLinkedList.py | UTF-8 | 934 | 3.546875 | 4 | [] | no_license | """
1 level solution:
1. iteration
time: O(n) space:O(1)
"""
# Definition for singly-linked list.
# class ListNode:
# def __init__(self, val=0, next=None):
# self.val = val
# self.next = next
class Solution:
def reverseList(self, head: ListNode) -> ListNode:
prev = None
curr ... | true |
95d8ea1ea6d2a521e4808ceee79a4ee07bd6543c | Python | Pyush146/Temp | /duplicatedictionary.py | UTF-8 | 218 | 3.34375 | 3 | [] | no_license | d={}
a={}
n= int(input("enter number "))
for i in range(n):
key= input("enter key")
value=input("enter value")
d[key]=value
print(d)
for key,value in d.items() :
if value not in a.values():
a[key]= value
print(a) | true |
793f321efe946fdeaaa9856dd6c363375060d5fe | Python | BQSKit/bqskit | /bqskit/ir/structure.py | UTF-8 | 1,828 | 3.34375 | 3 | [
"LicenseRef-scancode-unknown-license-reference",
"BSD-2-Clause"
] | permissive | """This module implements the CircuitStructure Class."""
from __future__ import annotations
from bqskit.ir.circuit import Circuit
class CircuitStructure:
"""Stores compressed positions of gates in a circuit as a hashable type."""
def __init__(self, circuit: Circuit) -> None:
"""
Construct a ... | true |
baea8454fdee68aba06c32e2910eb5598df7bb1e | Python | paulsonvinsent/clustering | /wine_quality_analysis.py | UTF-8 | 10,644 | 2.5625 | 3 | [] | no_license | import sys
import pandas as pd
from sklearn import mixture
from sklearn import preprocessing
from sklearn.cluster import KMeans
from sklearn.decomposition import FastICA
from sklearn.decomposition import PCA
from sklearn.feature_selection import VarianceThreshold
from sklearn.preprocessing import MinMaxScaler, Standar... | true |
0f94eeb9cc834d165d3c4812e0ccf574346296fd | Python | AndreySperansky/TUITION | /FUNCTIONAL/Reduce/reduce_1.py | UTF-8 | 227 | 3.46875 | 3 | [] | no_license | """Вычисление суммы всех элементов списка при помощи reduce:"""
from functools import reduce
items = [1, 2, 3, 4, 5]
sum_all = reduce(lambda x, y: x + y, items)
print(sum_all)
# 15 | true |
e2ab1a7856b6bcea1081664a61d0cbcad18ab719 | Python | ypycff/pythonClass | /PythonDev/Demos/05-DataStructures/customSorting.py | UTF-8 | 370 | 3.8125 | 4 | [] | no_license | def personNameLength(p) :
return len(p)
names = ["Andy", "Jayne", "Em", "Tom"]
sortedNamesAlphabetically = sorted(names)
print(sortedNamesAlphabetically)
sortedNamesByLength = sorted(names, key=personNameLength)
print(sortedNamesByLength)
sortedNamesByLengthDescending = sorted(names, key=personNameLength, r... | true |
bf3a05975730534856c6476d914b08cfb3012808 | Python | KONEY/lego-space-base-leds-raspi | /led_async.py | UTF-8 | 5,668 | 2.609375 | 3 | [] | no_license | #from EmulatorGUI import GPIO
import RPi.GPIO as GPIO
import time
import threading
from random import randint
print ("RASPI ASYNC LEDS BY KONEY")
keep_executing=True
sleep_micro=0.01
sleep_minimum=0.02
sleep_shorter=0.06
sleep_short=0.07
sleep_medium=0.10
sleep_long=1.1
sleep_longer=2.4
sleep_maximum=4
#IO_ports=[14,... | true |
36fc92ad2bfe5a18c2fd05400a3cad96d10f8963 | Python | hnz71211/Python-Basis | /com.lxh/exercises/97_readline/__init__.py | UTF-8 | 286 | 3.484375 | 3 | [] | no_license | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# 使用 sys.stdin.readline() 写一个和 input() 函数功能完全相同的函数
import sys
def my_input(prompt):
print(prompt, end='')
return sys.stdin.readline().strip()
str_input = my_input('请输入：')
print(str_input) | true |
ff5f8816efdfbe64493a5da0ffc0faa22aa5359e | Python | tanglan2009/mit6.00 | /LecturePractice/L4P9.py | UTF-8 | 549 | 3.90625 | 4 | [] | no_license |
# def odd(x):
# """
# x: int or float.
# returns: True is x is odd, False otherwise
#
# """
# return x % 2 != 0
#
# print odd(4)
# def isVowel(char):
# """
# char: a signle letter of any case
# returns: True if char is a vowel and False otherwise
#
# """
# if char == 'a' or cha... | true |
84077f9a591734459e1348b09dea5972dea55195 | Python | blabber/mdjson-latex | /mdjson-latex.py | UTF-8 | 5,536 | 2.75 | 3 | [] | no_license | # "THE BEER-WARE LICENSE" (Revision 42):
# <tobias.rehbein@web.de> wrote this file. As long as you retain this notice
# you can do whatever you want with this stuff. If we meet some day, and you
# think this stuff is worth it, you can buy me a beer in return.
# ... | true |
f29db1008369eb8b7f05ba9cd372fda013919d39 | Python | lwerdna/lwerdna.github.io | /binja-graphviz/helpers.py | UTF-8 | 4,134 | 2.921875 | 3 | [] | no_license | import os
import sys
import re
import json
RECT_ATTRIBS = 'stroke="black" stroke-width="1" fill="none"'
PATH_ATTRIBS = 'stroke="red" stroke-width="1" fill="none"'
CIRCLE_ATTRIBS = 'stroke="red" stroke-width="1" fill="green"'
SVG_HEADER = '''
<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/... | true |
6455ea547bd3a27b3dd1d851965e14fc0b2e7756 | Python | AlphaOrionis42/gtataryn_pi_photobooth | /tests/file test.py | UTF-8 | 374 | 2.859375 | 3 | [
"MIT"
] | permissive | import os
import fnmatch
photo_files = os.listdir('/media/pi/P/pics/')
num_files = len(photo_files)
count = 0
print("Total files: " + str(num_files))
for i in range(0, num_files):
#print(photo_files[i])
if fnmatch.fnmatch(photo_files[i], '*sm.jpg'):
print("File name: " + photo_files[i])
count ... | true |
d460bef6a08fa62bc46cfe70b3d78013d99c241b | Python | 452990729/Basic | /TCGA/GetGeneForBoxplot.py | UTF-8 | 1,998 | 2.828125 | 3 | [] | no_license | #!/usr/bin/env python2
import os
import sys
import re
import argparse
import numpy as np
import pandas as pd
def ReadData(file_in):
pd_data = pd.read_csv(file_in, sep='\t', header=0, index_col=0)
return pd_data
def ReadClass(file_in):
pd_data = pd.read_csv(file_in, sep='\t', names=['Class',], index_col... | true |
0c07830d8bf994ae2814983db8d4d548c6b632ce | Python | filmackay/flypy | /flypy/tests/test_calls.py | UTF-8 | 766 | 2.78125 | 3 | [
"BSD-2-Clause"
] | permissive | # -*- coding: utf-8 -*-
from __future__ import print_function, division, absolute_import
import unittest
from flypy import jit
class TestCalls(unittest.TestCase):
def test_static_call(self):
@jit
def g(a):
return a + 2
@jit
def f(a):
return g(a * 3)
... | true |
14c87f67ded6479246946cf09fd925f5df404d06 | Python | cpoulet/N-Puzzle | /astar.py | UTF-8 | 3,248 | 2.84375 | 3 | [] | no_license | ###############################################################################
# _ _ _____ _ _ _____________ ______ #
# | \ | | | __ \| | | |___ /___ / | | ____| #
# | \| |______| |__) | | | | / / / /| | | |__ #
... | true |
5341231df45c165ae9b7683f329460c7f5012ee1 | Python | george1459/NLP-win-21 | /idea_relations/fighting_lexicon.py | UTF-8 | 3,640 | 2.890625 | 3 | [
"MIT"
] | permissive | # -*- coding: utf-8 -*-
import os
import json
import math
import collections
import functools
import numpy as np
import word_count as wc
import utils
def get_uniform_alpha(first, second, count=1.0):
word_set = set(first.keys()) | set(second.keys())
alpha = dict([(w, count) for w in word_set])
return alpha... | true |
f66efc6a3bfc86b4b08f245b42a6879c277d6997 | Python | snaprick/PP2_20BD | /Final/W.py | UTF-8 | 85 | 2.6875 | 3 | [] | no_license | d = {"SUN": 7,"MON":6, "TUE":5, "WED":4, "THU":3, "FRI":2, "SAT":1}
print(d[input()]) | true |
16aed9d6c426cc3215e73e1f6bceda0588ba367e | Python | lavanyachitra/a | /special.py | UTF-8 | 136 | 3.671875 | 4 | [] | no_license | string=input()
n=0
for j in range(len(string)):
if(string[j].isdigit()!=True and string[j].isalpha()!=True):
n=n+1
print(n)
| true |
d78be860dd610ed026802a5db4fc1165d8702d18 | Python | 48cfu/CarND-Advanced-Lane-Lines | /source/lane_detection.py | UTF-8 | 12,423 | 3 | 3 | [
"MIT"
] | permissive | # Define a class to represent the camera
import numpy as np
import cv2
import glob
import matplotlib
import matplotlib.pyplot as plt
from camera import Camera
from line import Line
class LaneDetection():
def __init__(self):
'''
Configuration parameters for each frame: tuned in main_images.py
... | true |
c709b24faa08f9393f0fd80dc5f817842bbca894 | Python | carl-phillips/PythonModule4 | /venv/input_validation/validation_with_try.py | UTF-8 | 574 | 3.78125 | 4 | [] | no_license |
def average(score1, score2, score3):
NUMBER_TESTS = 3
try:
if score1 < 0 or score2 < 0 or score3 < 0:
raise ValueError
avg = (int(score1) + int(score2) + int(score3)) / NUMBER_TESTS
except:
raise ValueError
print(str(avg));
return avg
if __name__ == "__main__":... | true |
001d842921d97d707a1cf987ac661bc9a180d3b0 | Python | ternovandarius/FLCD | /Lab 4/main.py | UTF-8 | 3,673 | 3.296875 | 3 | [] | no_license | import re
class SymbolTable:
def __init__(self, capacity):
self.__capacity = capacity
self.__symbols = [""] * capacity
def hash(self, key):
hashval = 0
j = 1
for i in key:
hashval += ord(i) * j
j = j*10
return hashval % self.__capacity
... | true |
fb4d678df7ed0bb7ea32b1a98e12adf9c03af079 | Python | zhzhussupovkz/pygraph | /graph/node.py | UTF-8 | 608 | 3.234375 | 3 | [
"MIT"
] | permissive | # -*- coding: utf-8 -*-
# node realization
class Node(object):
# create node with key and props
def __init__(self, key):
self.deg = 0
self.key = key
self.neighbors = set()
def __eq__(self, other):
if isinstance(other, self.__class__):
return other.key == self.k... | true |