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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
842887ea36a0a019eae06afbedde1a86e74ddb9f | Python | ageelg-mobile/100py | /Week008/d053_d054_mymath.py | UTF-8 | 196 | 2.90625 | 3 | [] | no_license | #Ageel 10/11/2019
#100 Days of Python
#Day 053 & 054 - quiz
def add(x,y):
return x+y
def sub(x,y):
return x-y
def divide(x,y):
return x/y
def multiply(x,y):
return x*y | true |
8ea51e679df1793723ea3c04f6146729c80ff0f1 | Python | xiyangyang410/Learning-Python-Code | /38_2.py | UTF-8 | 2,242 | 3.046875 | 3 | [] | no_license | traceMe = False
def trace(*args):
if traceMe:
print('[' + ' '.join(map(str, args)), +']')
def accessControl(failIf):
def onDecorator(aClass):
if not __debug__:
return aClass
else:
class onInstance:
def __init__(self, *args, **kargs):
... | true |
f28e2a537691c8db02d4f3d5e80cc20c6efd376e | Python | rk50895/capstone | /app.py | UTF-8 | 15,101 | 2.578125 | 3 | [] | no_license | import os
import json
from flask import (
Flask, request, abort, jsonify
)
from sqlalchemy import exc
from flask_migrate import Migrate
from flask_sqlalchemy import SQLAlchemy
from flask_cors import CORS
from auth import (
AuthError, requires_auth
)
from models import (
db, setup_db, Actor, Movie, actor_mov... | true |
4d65ed48d060183305ccb91392640406c91d09e8 | Python | percyfal/tskit | /python/tests/test_ibd.py | UTF-8 | 22,880 | 2.796875 | 3 | [
"MIT"
] | permissive | """
Tests of IBD finding algorithms.
"""
import io
import itertools
import random
import msprime
import pytest
import tests.ibd as ibd
import tests.test_wright_fisher as wf
import tskit
# Functions for computing IBD 'naively'.
def find_ibd(
ts,
sample_pairs,
min_length=0,
max_time=None,
compare... | true |
9544988873297909fd565bc45a813fcf7f8b24db | Python | gebeto/nulp | /_parsing/formatter.py | UTF-8 | 632 | 2.515625 | 3 | [
"MIT"
] | permissive | import requests
from bs4 import BeautifulSoup
import io
ID = 166770
data = io.open("{}.html".format(ID), "r", encoding="utf-8").read()
soup = BeautifulSoup(data, 'html.parser')
formatted = soup.prettify()
imgs = soup.find_all('img')
for img in imgs:
if img.src:
# img.parent.insert(img.parent.index(img)+1, Tag(soup... | true |
34de74931d3a8b4143581abff61ef80167eea99b | Python | sankarpa/daily-coding | /python-problems/arrays/src/smallest_window_to_be_sorted.py | UTF-8 | 426 | 3.65625 | 4 | [] | no_license | def smallest_window_to_be_sorted(nums: list):
maximum, minimum = -float("inf"), float("inf")
length = len(nums)
left, right = None, None
for i in range(length):
maximum = max(maximum, nums[i])
if nums[i] < maximum:
right = i
for i in range(length - 1, -1, -1):
m... | true |
37cfe021e3afcb6c207e7136ff40cecd92d83b7d | Python | DinakarBijili/Python-Preparation | /Data Structures and Algorithms/Data Structures/Array/array.py | UTF-8 | 1,608 | 4.1875 | 4 | [] | no_license | class Array(object):
def __init__(self, sizeOfArray, arrayType = int):
self.sizeOfArray = len(list(map(arrayType, range(sizeOfArray))))
self.arrayItems =[arrayType(0)] * sizeOfArray # initialize array with zeroes
def __str__(self):
return ' '.join([str(i) for i in self.ar... | true |
a47fade7b799c6d21498d2c132ab8149284904dd | Python | BrookhavenNationalLaboratory/pyRafters | /pyRafters/handlers/np_handler.py | UTF-8 | 8,140 | 2.8125 | 3 | [
"BSD-3-Clause"
] | permissive | """
A set of sources and sinks for handling in-memory nparrays
"""
from __future__ import (absolute_import, division, print_function,
unicode_literals)
import six
from six.moves import range
import numpy as np
from ..handler_base import (DistributionSource, DistributionSink,
... | true |
151c24c72746add09089e8d9e61891c9372de8e7 | Python | ashkanyousefi/Algorithms_and_Data_Structures | /HW2/week1_basic_data_structures/1_brackets_in_code/check_brackets.py | UTF-8 | 3,656 | 3.921875 | 4 | [] | no_license | # # python3
# from collections import namedtuple
# Bracket = namedtuple("Bracket", ["char", "position"])
# def are_matching(left, right):
# return (left + right) in ["()", "[]", "{}"]
# def find_mismatch(text):
# opening_brackets_stack = []
# for i, next in enumerate(text):
# if next in "([{":... | true |
8fb083b80286b7ae4b1c147bbd091e5c41d0b9ef | Python | ddebettencourt/adventofcode2020 | /day6.py | UTF-8 | 600 | 2.921875 | 3 | [] | no_license | data = open("C:\\Users\\djdeb\\Desktop\\Random Stuff\\Advent of Code 2020\\day6input.txt")
str = data.read()
puzzle_array = str.splitlines()
#print(puzzle_array)
alphabet = [0 for i in range(26)]
total_count = 0
num = 0
for line in puzzle_array:
if line == "":
print(alphabet)
total_count += sum([a for a ... | true |
6e2b573abe43ad7718806696aaf8d934700f8c4d | Python | aga-moj-nick/Python-List | /Exercise 002.py | UTF-8 | 168 | 4 | 4 | [] | no_license | # 2. Write a Python program to multiply all the items in a list.
liczby = [1, 2, 3, 4, 5]
print (2 * liczby)
liczby1 = [1, 2, 3, 4, 5]
print (liczby1 + liczby1)
| true |
bce27ea874eb066d6df04a5fab09617145179c0e | Python | icasarino/ProjectEuler | /Euler18/main.py | UTF-8 | 961 | 2.984375 | 3 | [] | no_license | import triangleList as tl
tvalues = tl.triangle
svalues = tl.copyMatrix(tvalues)
size = len(tvalues)
def calcular():
for i in range(size - 1):
llen = len(tvalues[i])
for j in range(llen):
valor = tvalues[i][j]
if tvalues[i].index(valor) < llen - 1:
... | true |
c7e84c8af3425affe59bd73121b183acd48f9027 | Python | Ruben-hash/bina-dec-machine | /entier_vers_binaire.py | UTF-8 | 144 | 3.3125 | 3 | [] | no_license | def entier_vers_binaire(n):
b = []
while n > 0:
b.append(n%2)
n = n //2
b.reverse()
return b
| true |
6c95c09b5b70b2e3db45f28a936d3f3c2d0b12ec | Python | skadldnr89579/Python-Practice | /005 - Data type.py | UTF-8 | 401 | 3.4375 | 3 | [] | no_license | int_data=1 #integer
float_data=3.14 #float
complex_data=1+5j #complex number
str_data1='I love Python' #string (English)
str_data2="파이썬 좋아" #string (Korean)
list_data=[1,2,3] #list
tuple_data=(1,2,3) #tuple
dict_data={0:'False',1:'True'} #dictionary
print(int_data)
print(float_data)
print(complex_data)
print(str_data1... | true |
c230de9d340da44a678ce809cba41cc7a7a99611 | Python | itm-dsc-tap-2020-1/tap-practica-3-web-scraping-mysql-AlondraZM | /practica3.py | UTF-8 | 1,859 | 2.859375 | 3 | [] | no_license | import tkinter as Tk
from tkinter import ttk
from urllib.request import urlopen
from bs4 import BeautifulSoup
import mysql.connector as mysql
conexion = mysql.connect( host='localhost', user= 'alondra', passwd='garu', db='practica3' )
operacion = conexion.cursor()
operacion.execute( "SELECT * FROM web" )
pag_inicia... | true |
6716714bac4e840e993b50155e9771a1004da091 | Python | ROHINI-23/Patterns | /Pyramid_Shape_Reverse.py | UTF-8 | 183 | 3.484375 | 3 | [] | no_license | n = int(input())
k = n
for i in range(n,0,-1):
for j in range(0,n-i):
print(end=" ")
for j in range(0,k):
print("*", end=" ")
k = k-1
print() | true |
1468f2752363cd389dc06c3fda137eae10f46ec0 | Python | MarianDanaila/Competitive-Programming | /Leetcode Contests/Biweekly Contest 24/Find the Minimum Number of Fibonacci Numbers Whose Sum Is K.py | UTF-8 | 397 | 3.296875 | 3 | [] | no_license | class Solution:
def findMinFibonacciNumbers(self, k: int) -> int:
stack = []
fib1 = 0
fib2 = 1
while fib2 <= k:
stack.append(fib2)
fib1, fib2 = fib2, fib1 + fib2
count = 0
while k > 0:
if stack[-1] <= k:
k -= stack[... | true |
aa00d2aeaad4ead38c2aaf5eb6cab0471f59a9c8 | Python | luckyboy1220/tutorial | /advertise/make_sample.py | UTF-8 | 2,239 | 2.546875 | 3 | [] | no_license | # encoding=utf-8
"""
@author : peng
"""
from feature import Feature,FeatureType
import logging
import pandas as pd
BIN_COLS = ['item_id', 'item_brand_id', 'shop_id']
VAL_COLS = ['item_posrate', 'recent_15minutes', 'shop_score_delivery']
def init_feature_list():
logging.info("init feature list")
buf = []
... | true |
e56b4af8f422799ba13e291906da7be583b03cb8 | Python | xslogic/taba | /py/tellapart/taba/taba_event.py | UTF-8 | 1,562 | 2.78125 | 3 | [
"Apache-2.0",
"MIT"
] | permissive | # Copyright 2012 TellApart, Inc.
#
# 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 agreed to in writi... | true |
263a4239a5a018f04995ff46fa21b5d18dbe4cca | Python | PhiCtl/NorthernLights | /utils.py | UTF-8 | 4,907 | 3.125 | 3 | [] | no_license | # -*- coding: utf-8 -*-
import numpy as np
#-------------------------------------------------LOSSES-------------------------------------------------------------#
def compute_loss_MSE(y, tx, w, L1_reg, lambda_):
"""Calculate the MSE loss (with L2 regularization if lambda is not 0)"""
e = y - tx.dot(w)
if ... | true |
651ac4862985a09111b93420632382c760e894a2 | Python | dtgit/dtedu | /Archetypes/ref_graph.py | UTF-8 | 4,919 | 2.765625 | 3 | [
"BSD-3-Clause"
] | permissive | """
Graphviz local object referencs, allows any refrerenceable object to
produce a graph and a client side map. When we can export this as SVG
(and expect clients to handle it) it will be much easier to style to
the look of the site.
Inspired by code from Andreas Jung
"""
from urllib import unquote
from cStringIO im... | true |
a6ec2fe3d941879dcad75c855a5b1926e5ac180c | Python | tony-yuan33/IBI1_2019-20 | /Practical11/24Points.py | UTF-8 | 3,657 | 3.953125 | 4 | [] | no_license | # -*- coding: utf-8 -*-
# Use `Fraction` to avoid floaring-point errors
from fractions import Fraction
def is_24_points_solvable(numbers: list) -> (bool, int):
# Pick two numbers, merge them, then put it back to the list
# Do this recursively until there is only one number left.
# If this number equals 24,... | true |
9cfabec9508142e7549a617b44ac5cfb2154ce8e | Python | turicfr/wikia-chatbot | /plugins/tell.py | UTF-8 | 5,935 | 2.53125 | 3 | [] | no_license | import json
from datetime import datetime
from contextlib import contextmanager
from chatbot.users import User
from chatbot.plugins import Plugin, Command, Argument
@Plugin()
class TellPlugin:
def __init__(self):
self.client = None
self.logger = None
self.just_joined = set()
@staticme... | true |
e21a64140b36c48725d72f677129eebeab9c5c25 | Python | saadiabayou/Redshift-z | /raie_Hydro.py | UTF-8 | 612 | 3.203125 | 3 | [] | no_license | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Feb 20 19:47:10 2021
@author: Saadia Bayou
"""
""" Programme raie_Hydro : calcul de la longueur d'onde """
# Données
evJ=1.6076634e-19 # Joules -> 1 electronvolt vaut 1,6076634.10e-19 Joules
RH=1.10e7 # RH = 1.10e7 m-1
h=6.63e-34 # h = 6.63e-34 m2.kg.... | true |
95233a8286160a56621528cc8bf47b090712b974 | Python | maxpipoka/seminario1 | /.vscode/TUTI - Cardozo Roque Martin - TP Integrador.py | UTF-8 | 14,447 | 3.421875 | 3 | [] | no_license | '''
El INYM desea generar una solución que permita modernizar el monitoreo de plantaciones de sus productores
asociados. Para ello, se desea implementar un sistema de monitoreo con dispositivos de tipo IoT. El sistema
se compone de un conjunto de dispositivos de los cuales se conocen su ID, descripción, zona de despli... | true |
054d492ad0f621bd8552bddf1b83a06341673585 | Python | saikumarballu/PythonPrograms | /dictionaries.py | UTF-8 | 361 | 2.859375 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Fri Mar 1 14:08:42 2019
@author: saib
"""
a = [1,2,3,4,5,6,7,1,1]
b = [1,2,3,4,5,6,7,1,1]
#c={name=['sai','kumar','ballu','hello'],id=[1,2,3,4]}
d= {'name':'sai','idd':1234,'pass':'password','extn':3211}
d['name']='kumar'
d['cel']=87686876
print(d)
del d['name']
#print(d.f... | true |
256e2b79ca667397a4add53be98e3ecb77ef3620 | Python | danielleaneal/Neal_Danielle_DIG5508 | /Project-2/Free-Project-2.py | UTF-8 | 1,240 | 3.859375 | 4 | [] | no_license | #Free Project 2, free project 11-1 from Programming Textbook
#putting text on a picture
#%%
from PIL import Image, ImageDraw
def transformimage(text, bgcolor):
img = Image.new('RGB', (100, 30), color = bgcolor)
d = ImageDraw.Draw(img)
d.text ((10,10), text, fill=(255,255,0))
return img
transformi... | true |
eb18e168767a06b34775d99e5215888c70074698 | Python | lair60/diyblog | /blog/models.py | UTF-8 | 2,200 | 2.53125 | 3 | [
"MIT"
] | permissive | from django.db import models
from django.contrib.auth.models import User
from django.urls import reverse #Used to generate URLs by reversing the URL patterns
# Create your models here.
class BlogAuthor(models.Model):
user= models.OneToOneField(User,on_delete=models.SET_NULL, null= True)
bio= models.CharFiel... | true |
befb6568d360d7dd069570ae3273d1a8c01515e8 | Python | dodonmountain/algorithm | /2019_late/20191104/boj_1181_단어정렬.py | UTF-8 | 152 | 3.15625 | 3 | [] | no_license | n = int(input())
arr = set()
for i in range(n):
arr.add(input())
arr = sorted(list(arr))
arr.sort(key= lambda x:(len(x)))
for i in arr:
print(i) | true |
a57e2d2344805eb4c0cbc104ed0139d727b2732b | Python | trancuong95/hoc_git | /some_exercise_other/level_65_01_hay.py | UTF-8 | 162 | 3.515625 | 4 | [] | no_license | def f(n):
if n == 0:
return 0
else:
return f(n-1)+100
# Bài Python 65, Code by Quantrimang.com
n = int(input("Nhập số n>0: "))
print(f(n))
| true |
010525509b2177f3bd7065f63e762209658d6518 | Python | sealove20/Maratona-de-programa-o | /UriJudge/1016.py | UTF-8 | 97 | 3.453125 | 3 | [] | no_license | distancia = int(input())
x = 60
y = 90
tempo = int(distancia/(y-x)*60)
print("%d minutos"%tempo)
| true |
1f9e814ad93adbe11f900155dc2337ad7f7f0c57 | Python | scarlett-kim/bit_seoul | /Study/keras/keras13_shape.py | UTF-8 | 1,038 | 3.0625 | 3 | [] | no_license | # 데이터 shape
import numpy as np
x = np.array([range(1,101), range(711,811), range(100)])
y = np.array(range(101,201))
print(x)
print("transpose하기전" , x.shape) #transpose하기전 (3, 100)
print("t" , y.shape) #(100, )
x= np.transpose(x)
y= np.transpose(y)
print("transpose 하고 난 후" ,x.shape) #transpose 하고 난 후 (1... | true |
ddc5caf0412756e86b5f885660155cf820ce8d73 | Python | miguelfdezc/neural-networks-pk | /Class 8/Lab10_Cross-validation/SoftMaxLinear_XValidation.py | UTF-8 | 6,418 | 3.171875 | 3 | [] | no_license | #!/usr/bin/env python
import numpy as np
import matplotlib.pyplot as plt
class SoftMaxLinear:
def __init__(self, inputs_num, outputs_num):
self.inum = inputs_num
self.onum = outputs_num
self.W = (-1 + 2*np.random.rand(inputs_num, outputs_num))/100.0 #neurons as columns
self.b = np.z... | true |
5ac4960cea859fa7f098c787224a854297ec3562 | Python | karpalexander1997org1/FLSpegtransferHO | /utils/CmnUtil.py | UTF-8 | 8,686 | 2.671875 | 3 | [] | no_license | """Shared methods, to be loaded in other code.
"""
import numpy as np
ESC_KEYS = [27, 1048603]
MILLION = float(10**6)
def normalize(v):
norm=np.linalg.norm(v, ord=2)
if norm==0:
norm=np.finfo(v.dtype).eps
return v/norm
def LPF(raw_data, fc, dt):
filtered = np.zeros_like(raw_data)
for i ... | true |
ce6bc8a3a9c7f9675c97500bc888881d5b10c676 | Python | clpachec/COMPSCI-175 | /Process_Text.py | UTF-8 | 861 | 3.34375 | 3 | [] | no_license | '''
Created on Sun Mar 13 010:21:32 2016
@author: Arielle
'''
import re
import nltk
def Clean_Text(text: str):
"""
Returns a string cleaned of non-word related characters such as <br/ <p> due to
source of generated text
Parameters
----------
text : str
Text to be cleaned and formatt... | true |
fbc9f6c49868e5911b2dc6a47f5c3a68b2347874 | Python | ksyoung/grasp_post_process | /clean_grid_file.py | UTF-8 | 1,836 | 3 | 3 | [] | no_license | # hacked together code to read, edit, and rewrite a .grd file.
# 'clean' refers to the error where 1.242E-110 is written to file as
# 1.242-110.
# code searches for these, and fixes these
import optparse
import sys
import pdb
# optparse it!
usage = "usage: %prog <input_file>"
parser = optparse.OptionParser(usage)
#... | true |
b77fa8ad08f2b68af71f160a0271823116bb989d | Python | vincentnawrocki/aws-tooling | /all-region-modifier/all_region_modifier.py | UTF-8 | 3,600 | 2.765625 | 3 | [] | no_license | """Module to apply a change on multiple regions for multiple AWS accounts."""
import json
import boto3
from botocore.exceptions import ClientError
import argparse
import tqdm
import actions
from actions.ebs import enable_ebs_default_encryption
from logger.logger import LOG
def all_region_modifier(role: str, account_f... | true |
f72bbc1cc4aae7571b2c56d917dc1dddf7e27602 | Python | rgzfx/django-challenge-001 | /jungledevs/utils/base_model.py | UTF-8 | 660 | 2.671875 | 3 | [] | no_license | from django.db.models import DateTimeField, Model
from django.utils.translation import ugettext_lazy as _
class BaseModel(Model):
created_at = DateTimeField(auto_now_add=True, verbose_name=_("Creation Date"))
updated_at = DateTimeField(auto_now=True, verbose_name=_("Update Date"))
class Meta:
abs... | true |
fac56fc2154ce5012d984a8046c9b508184f9503 | Python | eskog/inline_args | /inline_args.py | UTF-8 | 871 | 2.859375 | 3 | [] | no_license | #!/usr/bin/python
import sys
import getopt
def main(argv):
# Stuff before arguments
grammar = "Default value"
debug = 0
try:
opts, args = getopt.getopt(argv, "hg:d", ["help", "grammar"])
except getopt.GetoptError:
usage()
sys.exit(2)
for opt, arg in opts:
if op... | true |
e8ae772f75aa083c204ac3436b2b91f59be02c04 | Python | git-guozhijia/Python006-006 | /week01/1.py | UTF-8 | 989 | 3.890625 | 4 | [] | no_license | # 布尔运算 --- and, or, not
print(111) if 1 or 2 else print(222)
print(111) if 1 and 2 else print(222)
print(111) if not 1 else print(222)
# 111
# 111
# 222
# 比较运算
print("对") if 1 > 2 else print("错")
print("对") if 1 < 2 else print("错")
print("对") if 1 >= 2 else print("错")
print("对") if 1 >= 2 else print("错")
print("对") i... | true |
4c2a4c0b0d2e3b2bee7e4190d7bb7caf9379ac44 | Python | rustiri/OO_Python | /magic_methods/equality_compare.py | UTF-8 | 1,693 | 4.65625 | 5 | [] | no_license | # Example of using __eq__ and __lt__ magic methods
class Book:
def __init__(self, title, author, price):
super().__init__()
self.title = title
self.author = author
self.price = price
# TODO: use the __eq__ method to check for equality between two objects
def __eq__(self, value):
# t... | true |
ecb69a6a0a1562a8bbe2fd3fd50657fac46f7dc1 | Python | mohakbhardwaj/deep-rl | /rl_common/ReplayBuffer.py | UTF-8 | 5,459 | 3.015625 | 3 | [] | no_license | #!/usr/bin/env python
"""
Replay Buffer Module for Deep Q Network
Author: Mohak Bhardwaj
Based of off Berkeley Deep RL course's dqn implementation which can be found
at https://github.com/berkeleydeeprlcourse/homework/blob/master/hw3/dqn_utils.py
This implementation is optimized as it only keeps... | true |
f43d591dd23880097b9739264f31df9799b1ed92 | Python | Jeffrey-Huang11/jhuang11 | /05/krewes.py | UTF-8 | 982 | 3.328125 | 3 | [] | no_license | # Team Rising Drago (Jeffrey Huang, Dragos Lup, & Ryan Ma)
# SoftDev
# K05 -- Teamwork, but Better This Time/ went through a dictionary, randomly selected a
# key/group and randomly selected a "name" from the key/group
# 2020-09-30
# Import random to use 'random.choice' function, which goes through a list and randoml... | true |
99b5f538f2368575ffd4529578f38865fb8906db | Python | JopRijks/Amstelhaege | /code/helpers/location.py | UTF-8 | 4,927 | 3.625 | 4 | [] | no_license | """
location.py
Wordt gebruikt om de vrijstand van een huis te berekenen en om
te controleren of de locatie van een huis aan de vereisten voldoet.
Programmeertheorie
Universiteit van Amsterdam
Jop Rijksbaron, Robin Spiers & Vincent Kleiman
"""
def location_checker(house, neighbourhood):
"""Checks if the placem... | true |
ef2872966849bc5654710e01e14042baebf698d8 | Python | colinrdavidson/Baseball-Integer-Program | /make_team.py | UTF-8 | 1,887 | 2.9375 | 3 | [] | no_license | #Default Modules
import argparse
import os.path
import subprocess
import sys
#Custom Modules
from generate_data_file import generate_data_file as gdf
#Set up arg parser
parser = argparse.ArgumentParser(description="Generate an optimal draft team.")
parser.add_argument("--input", "-i", dest="input_file", nargs=1, requ... | true |
2f9c1a210d0c1ddd7f090b12a4b4ea3152d0790a | Python | yura20/logos_python | /hw_04/palindrome.py | UTF-8 | 283 | 4.3125 | 4 | [] | no_license | text = input("enter your word :")
def palindrome(text=""):
text1 = text
text2 = text[::-1]
if text1 == text2:
print('{palin} is palindrome'.format(palin = text1))
else:
print("{palin} isn't palindrome".format(palin = text1))
palindrome(text) | true |
39715aaa4acf391e1cfbe66144ea7fc466d586f2 | Python | QMrpy/InteractiveErrors | /gpt2.py | UTF-8 | 2,965 | 2.65625 | 3 | [] | no_license | import argparse
import json
import logging
import os
import torch
from transformers import GPT2LMHeadModel, GPT2TokenizerFast
from tqdm import tqdm
def generate_candidate_leakages(leakage, model, tokenizer, args):
device = "cpu" if (args.no_cuda or not torch.cuda.is_available()) else "cuda"
candidate_leakag... | true |
9d73279591a346bdf159fce20d602b5ec640d063 | Python | pombredanne/detools | /detools/sais.py | UTF-8 | 6,577 | 3.15625 | 3 | [
"BSD-2-Clause",
"MIT"
] | permissive | # Based on http://zork.net/~st/jottings/sais.html.
S_TYPE = ord("S")
L_TYPE = ord("L")
def build_type_map(data):
res = bytearray(len(data) + 1)
res[-1] = S_TYPE
if not len(data):
return res
res[-2] = L_TYPE
for i in range(len(data) - 2, -1, -1):
if data[i] > data[i + 1]:
... | true |
9475e08099ef8cce375b658c7936e354104ec066 | Python | edeane/learning-opencv-stuff | /histogram.py | UTF-8 | 2,055 | 3.140625 | 3 | [] | no_license | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Nov 3 10:22:53 2017
@author: applesauce
https://www.pyimagesearch.com/2014/01/22/clever-girl-a-guide-to-utilizing-color-histograms-for-computer-vision-and-image-search-engines/
"""
import cv2
import numpy as np
import matplotlib.pyplot as plt
def gr... | true |
98003230d6784153a08f8521e42526d09815ad1e | Python | ajflood/lampSeminar_dataAnalysis | /DOE_example.py | UTF-8 | 1,956 | 3.15625 | 3 | [] | no_license | from DOE import *
### NOTE YOU WILL NEED TO TAKE CARE OF RANDOMIZING THAT IS CURRENTLY NOT SUPPORTED
def convert_doe_to_levels(doe, factor_levels):
Converting the 0's and 1's to actual factor levels
number_of_factors = len(factor_levels)
converted_doe = numpy.zeros_like(doe)
for factor_id in range(number_of_fac... | true |
63cea74780ecf2145edca527dbd0e9205c66ddea | Python | CodingLordSS/BMI-Calculator-Developer-CodeLordSS | /BMI.py | UTF-8 | 683 | 3.625 | 4 | [] | no_license | // Developer CodeLordSS
// Programmning language: Python
Height=float(input("Enter your height in centimeters: "))
Weight=float(input("Enter your Weight in Kg: "))
Height = Height/100
BMI=Weight/(Height*Height)
print("your Body Mass Index is: ",BMI)
if(BMI>0):
if(BMI<=16):
print("you are severely underweight")
eli... | true |
fc54fe330a8fcc7e62560ac9c979bb57552fd8e2 | Python | shaiwilson/algorithm_practice | /may12.py | UTF-8 | 382 | 3.53125 | 4 | [] | no_license |
def compress(theStr):
""" implement a method to perform basic string compression """
outstring = []
lastChar = ""
charCount = 0
for char in theStr:
if char == lastChar:
charCount += 1
else:
if lastChar != "":
outstring.append(lastChar + str... | true |
d14ebbae7b73a9d1242f098bb3da0c88267b99da | Python | shockflux/python_basics | /basic17.py | UTF-8 | 120 | 3.5625 | 4 | [] | no_license | #returning avg of two numbers using functions
def average(a,b):
return (a+b)/2
#main program
print(average(2,2)) | true |
19f72b359daafd49ac300c093f3cf7b8621b4f8e | Python | witklaus/simulationQueue | /passenger.py | UTF-8 | 1,738 | 2.796875 | 3 | [] | no_license | import pandas as pd
import random
import numpy as np
from lotnisko.conf import CONFIG
class PassengerRegistry(object):
def __init__(self, env):
self.passengers = []
self.env = env
self.waitsum = 0.0
def create_passenger(self, number):
passenger = Passenger(number, self.env, se... | true |
b71f4ed07c540bfbf8a4f51c2626111f05557365 | Python | tcmcginnis/python | /pytest.py.python2 | UTF-8 | 485 | 3.625 | 4 | [] | no_license | #!/usr/bin/python3
"""
this is a comment
"""
spam = "That is Alice's cat."
# print "asdasd \n"
# print "aaa:",spam
# print "a",spam[3]
# print spam.upper()
# print spam[3:]
linein = raw_input()
print "a",linein
# print "a",linein.lower()
# print('How are you?')
# feeling = raw_input()
# if feeling.lower() == 'great':
... | true |
e0fc887ec5a2aa1a1e10a56bf352eb6ed4d63a29 | Python | Rifleman354/Python | /Python Crash Course/Chapter 8 Exercises/favoriteBook.py | UTF-8 | 255 | 3.453125 | 3 | [] | no_license | def display_message(favorite_book): # The business end: the function
"""Display's the developer's favorite book"""
print("The Archmagos' favorite book is " + favorite_book.title())
display_message('Bushcrafting 101') # Input arguement for function | true |
2f08efc218d8220244b6ba37278ce6d37dc9d6ce | Python | dylancallaway/ee49_project | /training/run_inference.py | UTF-8 | 5,130 | 2.640625 | 3 | [] | no_license | import numpy as np
from matplotlib import pyplot as plt
import tensorflow as tf
from object_detection.utils import ops as utils_ops
from object_detection.utils import label_map_util
from object_detection.utils import visualization_utils as vis_util
import socket
import pickle
from PIL import Image
import time
clas... | true |
a2ed3cb2dfc06f837edb937e681b12ed2d9500e7 | Python | xdaniel07x/python-for-everybody-solutions | /exercise7_1.py | UTF-8 | 320 | 4.25 | 4 | [] | no_license | """
Exercise 1: Write a program to read through a file and print the contents of
the file (line by line) all in upper case. Executing the program will look as
follows:
"""
fileName = input('Enter a file name: ')
fhand = open(fileName)
for line in fhand:
capital = line.upper().strip()
print(capital)
| true |
ebd40b56aedddcbb4fad56ba09c83063d5553ff5 | Python | jillwuu/6700-proj | /tictactoe.py | UTF-8 | 3,516 | 3.75 | 4 | [] | no_license | import random
from minimax import Minimax
class TicTacToe:
def __init__(self):
self.minimax = Minimax()
self.game_size = 3
self.player_0 = 'X'
self.player_1 = 'O'
self.player = self.player_0
self.empty = ' '
self.board = [[self.empty for _ in range(self.game_size)] for _ in range(self.game_size)]
sel... | true |
74d9c99712d4be6884a8b63e2e29342e45b05d11 | Python | vsseetamraju/multiples | /multiplesGIT.py | UTF-8 | 231 | 4.21875 | 4 | [
"Unlicense"
] | permissive |
# Ask for the user input
userNum = input("Tell me a number ")
# convert to float
userNum = float(userNum)
# Do the computation
for i in range(2,10):
answer = userNum * i
print("{} times {} is {}.".format(userNum, i , answer)) | true |
f81b70152b69b2bc2779a4be5e51f65da8fd64c8 | Python | Artemigos/advent-of-code | /2021/21/solution.py | UTF-8 | 2,158 | 3.125 | 3 | [
"MIT"
] | permissive | from collections import Counter, defaultdict
p1_start = 3
p2_start = 4
# part 1
rolls = 0
def roll():
global rolls
rolls += 1
return ((rolls-1)%100)+1
p1 = p1_start
p2 = p2_start
p1_points = 0
p2_points = 0
while True:
p1 += roll()+roll()+roll()
p1 %= 10
p1_points += p1+1
if p1_points >... | true |
d451bf4af50603d5d3ec94dc10377dc9aa92099e | Python | andreashappe/mod_security_importer | /log_importer/log_import/parser.py | UTF-8 | 3,493 | 3.09375 | 3 | [] | no_license | """ This module converts the string representation of an incident into
a python (or rather sqlalchemy) object. """
# urllib.parse in python2/3
from future.standard_library import install_aliases
install_aliases()
import re
import datetime
from urllib.parse import urlparse
REGEXP_PART_A = '^\[([^\]]+)\] ([^ ]+) ... | true |
b98643f704d8044c1d3182f1d94096ee7afb9bc0 | Python | linyuchen/py3study | /py3.5/scandir.py | UTF-8 | 272 | 3.125 | 3 | [] | no_license | # -*- coding:UTF-8 -*-
import os
__author__ = "linyuchen"
__doc__ = """
os.scandir，更快的遍历目录，os.walk内部也用os.scandir实现了
返回的是个生成器
"""
for i in os.scandir("."):
print(i, i.name, i.path, i.is_dir(), i.is_file())
| true |
5cad2e3a4c163b0cbcac0ea769168117105fcdd8 | Python | AroraTanmay7/Technocolabs-Minor-Project | /check-app.py | UTF-8 | 2,129 | 2.765625 | 3 | [] | no_license | import streamlit as st
import pandas as pd
import numpy as np
import pickle
from sklearn.ensemble import RandomForestClassifier
st.set_option('deprecation.showfileUploaderEncoding', False)
st.sidebar.header('User Input Features')
# Collects user input features into dataframe
uploaded_file = st.sidebar.file_uploader(... | true |
920a608a0e88b13d9173099f3a9bf22fefc87677 | Python | PatLor77/zadania-9-wd | /zadanie6.py | UTF-8 | 277 | 2.65625 | 3 | [] | no_license | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import xlrd
csv = pd.read_csv('zamowienia.csv',sep=';')
sumy = csv.groupby(['Sprzedawca']).agg({'Utarg':['sum']})
suma_og = sum(csv['Utarg'])
sumy = (sumy/suma_og)*100
sumy = round(sumy)
plt.show() | true |
0dd3c114ea3138ca9015fe56c16515f916c1aa79 | Python | Samridh-Dhasmana/Recommendation_System | /app.py | UTF-8 | 2,079 | 3.234375 | 3 | [] | no_license | import flask
import pandas as pd
#reading the dataset
df=pd.read_csv('movies.csv')
#Storing movie titles from dataset
m_titles = [df['title'][i] for i in range(len(df['title']))]
#creating flask object
app = flask.Flask(__name__, template_folder='templates')
def create():
from sklearn.feature_extraction.text i... | true |
82ec2f8a99dcefbd90ca8473bcf205764636408b | Python | zdyxry/LeetCode | /design/1352_product_of_the_last_k_numbers/1352_product_of_the_last_k_numbers.py | UTF-8 | 327 | 3.515625 | 4 | [] | no_license |
class ProductOfNumbers(object):
def __init__(self):
self.A = [1]
def add(self, a):
if a == 0:
self.A = [1]
else:
self.A.append(self.A[-1] * a)
def getProduct(self, k):
if k >= len(self.A):
return 0
return self.A[-1] / self.A[... | true |
678ea15cd6850b5217031e0d8b7ca7895d99d5a2 | Python | A-biao96/python-MP | /scripts/select_file.py | UTF-8 | 762 | 2.921875 | 3 | [] | no_license | #!/usr/bin/python3
# encoding:utf-8
import os
def select_file(*args, destdir='./'):
try: os.listdir(destdir)
except: return -1
suffix=['.cc', '.py', '.txt', '.md']
if len(args): suffix.extend(args)
flist = [f for f in os.listdir(destdir) if os.path.splitext(f)[1].lower() in suffix]
flist.sort()
... | true |
18475a17a10202da8566abfabd9aa5b3e6e2eb9e | Python | saintifly/leetcode | /变位词组归类.py | UTF-8 | 921 | 3.3125 | 3 | [] | no_license | class Solution:
def groupAnagrams(self, strs: List[str]) -> List[List[str]]:
import numpy as np
s1List = [0]*26
strsToOrd = []
for i in strs:
for j in i:
s1List[ord(j)-ord('a')] +=1
print(s1List)
s1List = [str(x) for x in s1List]
... | true |
adf226480fe3a3fe4b8ea12723a7cfe41181bbe1 | Python | AsummerCat/crawer_demo | /qiubai_crawer.py | UTF-8 | 3,728 | 3.171875 | 3 | [] | no_license | # -*- coding:utf-8 -*-
'''
糗百_爬虫
利用Beautiful Soup 库 和 requests
conda install -c conda-forge beautifulsoup4
conda install -c conda-forge requests
'''
'''
简单实现抓取糗百的数据
抓取流程: 获取页最大页数->根据最大页数遍历查询->抓取单页面的 title及其内容保存到列表中->进行渲染成字符串->导出文件
'''
import os
import requests
from bs4 import BeautifulSoup
import re
from time impo... | true |
3cfe5d99485672528a22b32b99ff91169745df97 | Python | kbrewerphd/robotSim | /robot.py | UTF-8 | 9,660 | 3.296875 | 3 | [
"MIT"
] | permissive | """
Program name: robot.py
Author: Dr. Brewer
Initial Date: 20-Nov-2018 through 05-Dec-2018
Python vers: 3.6.5
Description: A simple robot simulation environment.
Code vers: 1.0 - Initial release
"""
from typing import List,Any
import math
import random as r
import time
class Robot():
"""... | true |
2fe6282ce0bc4c3229170646040918f67b5de839 | Python | ericjtaylor/random-fat | /random-fat.py | UTF-8 | 11,517 | 3.171875 | 3 | [] | no_license | from __future__ import division
import itertools
import numpy as np
import numpy.random as rng
import matplotlib.pyplot as plt
# Name: Random Function Analysis Tool
# Author: Eric Taylor
#
# Generates a random sequence, calculating the probability
# mass function of the intervals and the entropy of the
# output given... | true |
55ed09e2c3dff07d4bba25ecc565fb68face06b9 | Python | CQU-yxy/bigdata_NYCAirbnb | /代码文件及配置说明/WordCount.py | UTF-8 | 1,718 | 2.875 | 3 | [] | no_license | #-*- coding:utf-8 -*-
from pyspark import SparkConf, SparkContext
from visualize import visualize
import jieba
SRCPATH = '/home/hadoop/proj/src/'
conf = SparkConf().setAppName("proj").setMaster("local")
sc = SparkContext(conf=conf)
def getStopWords(stopWords_filePath):
stopwords = [line.strip() fo... | true |
67a3b738d63949f6bf1b5bba50273c04c63d939f | Python | jalague/Projects | /BioInformatics/Assingments/assignment1.py | UTF-8 | 3,667 | 3.203125 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Thu Aug 25 11:46:10 2016
@author: John
mRNA Translator, into 6 frames
Read in file of sequence
translate into three letter codons
parse for start and stop codons and mark them for position 1 2 and 3
find reverse compliment of sequence and repeat
"""
import sys... | true |
f28f602c7026ce8197afbc98ef90359288d33423 | Python | ericssy/smart-home-security | /SVM & Autoencoder/app/ab_one_class_svm.py | UTF-8 | 1,436 | 3.171875 | 3 | [] | no_license | import pickle
import numpy as np
from sklearn import svm
class OneClassSVM_Ab:
def __init__(self, file_name):
self.clf = pickle.load(open(file_name, 'rb'), encoding='latin1')
# temp_change_f: times of temperature changes within the 100s window
# temp_avg_f: average temperature within the ... | true |
8bcf62b780d93ddb9c8711d672a8fe08b1c44ef6 | Python | CptThreepwood/TropeStats | /src/scraping/get_trope_list.py | UTF-8 | 1,228 | 2.515625 | 3 | [] | no_license | import os
import bs4
import yaml
import time
import requests
from config import TROPE_INDEX, TROPE_INDEX_DIR
TROPE_LIST_BASE = "https://tvtropes.org/pmwiki/pagelist_having_pagetype_in_namespace.php?n=Main&t=trope"
def get_trope_list_page(n=1):
response = requests.get('{}&page={}'.format(TROPE_LIST_BASE, n))
... | true |
e1582d443eb4bf3d066a0099955620a766a348f4 | Python | jxjk/git_jxj | /opencvfiles/copymakeborder_demo.py | UTF-8 | 1,895 | 3.484375 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
9.5 为图像扩边（填充）
cv2.copyMakeBorder(src,top,borderType,value)
• src 输入图像
• top, bottom, left, right 对应边界的像素数目。
• borderType 要添加那种类型的边界，类型如下
– cv2.BORDER_CONSTANT 添加有颜色的常数值边界，还需要
下一个参数（value）。
– cv2.BORDER_REFLECT 边界元素的镜像。比如: fe... | true |
fff97196771b5ab9c6a3ddb53c4141fd62af94ff | Python | Lazy-yin/LeetCode-practice | /Questions/q0001TwoSum/BruteForce.py | UTF-8 | 235 | 3.203125 | 3 | [] | no_license | def twoSum(self, nums, target):
ans = []
for i in range(len(nums)-1):
leave = target - nums[i]
for j in range(1,len(nums)):
if nums[j] == leave:
return [i,j]
| true |
81de9971c6333b50bc64a9ffe9cb66d66cf931f7 | Python | hidemori0422/codewars | /tests/test_create_phone_number.py | UTF-8 | 493 | 2.921875 | 3 | [] | no_license | #! /usr/bin/env python3
from src.create_phone_number import create_phone_number
def test_phone_number0():
digits = [0] * 10
result = create_phone_number(digits)
expected = '(000) 000-0000'
assert result == expected
def test_phone_number1():
digits = [i for i in range(10)]
result = create_ph... | true |
6180fb010ebfd239eb6089cc8e9dd497a080c5a6 | Python | Raushan117/Python | /033_list.py | UTF-8 | 307 | 3.796875 | 4 | [] | no_license | # To iterate over a list with the numbers
a = ['Python', 'is', 'a', 'great', 'programming', 'lanuage']
for i in range(len(a)):
print(i, a[i])
# Passing a number of strings to a file
# where file is an file object
def write_to_file_many_item(file, separator, *args):
file.write(separator.join(args))
| true |
244f786e87f7fc585efd75a614cde03291dbc983 | Python | ROXER94/Project-Euler | /055/55 - LychrelNumbers.py | UTF-8 | 430 | 3.9375 | 4 | [] | no_license | # Calculates the number of Lychrel numbers below 10,000
def isPalindrome(string):
return string == string[::-1]
def Lychrel(string):
return int(string) + int(string[::-1])
total = 0
for i in range(10000):
L = True
count = 0
value = str(i)
while count < 50:
value = Lychrel(str(value))
if isPa... | true |
a8cdca63b29340449b2731ad4fa6c486593bf2ca | Python | Crazy-Ginger/MOSAR | /modules/craftmodule.py | UTF-8 | 810 | 2.96875 | 3 | [
"MIT"
] | permissive | #!/usr/bin/env python3.5
"""Module class to hold data on individual modules that form part of the morsecraft structure"""
from numpy import array, round
__author__ = "Rebecca Wardle"
__copyright__ = "Copyright 2020 Rebecca Wardle"
__license__ = "MIT License"
__credit__ = ["Rebecca Wardle"]
__version__ = "0.5"
class ... | true |
563c01ee21677405d58f6ec151e207b268518329 | Python | shariquemulla/python_basics | /control-flow-1.py | UTF-8 | 4,525 | 3.96875 | 4 | [] | no_license | season = 'spring'
if season == 'spring':
print('plant the garden!')
elif season == 'summer':
print('water the garden!')
elif season == 'fall':
print('harvest the garden!')
elif season == 'winter':
print('stay indoors!')
else:
print('unrecognized season')
############################... | true |
f1e02cac88ac8f38283b53ee458f3c3190d791ba | Python | MrRabbit0o0/LeetCode | /python/172.py | UTF-8 | 476 | 3.515625 | 4 | [] | no_license | # coding: utf8
class Solution(object):
def trailingZeroes(self, n):
"""
:type n: int
:rtype: int
"""
return 0 if n < 5 else n / 5 + self.trailingZeroes(n/5)
if __name__ == '__main__':
import random
n = random.randint(0, 10000000)
print n
print Solution().tr... | true |
a2a454e2e682ce41b0b357fa6e2972233aebe8f6 | Python | stevenjwheeler/AntiScamAI | /wit_response_engine.py | UTF-8 | 1,641 | 2.59375 | 3 | [] | no_license | import gvoice_response_engine
import error_reporter
import logger
def respond(wit_response, time):
if wit_response['_text']:
try:
text = wit_response['_text']
intent = wit_response['entities']['intent'][0]['value']
intentconfidence = "{0:.0f}%".format(wit_response['entit... | true |
d7a8eb6d65a78dcb1ff9868e4d3b351cd3b5700a | Python | Joyita01/Stream_tweets | /Streaming_replies.py | UTF-8 | 3,445 | 3.1875 | 3 | [] | no_license | """
Following code, streams tweets of username 'x1' containing specific keywords and stores the replies to those tweets in a JSON file.
"""
from tweepy import TweepError
import json
from tweepy import API
from tweepy import Cursor
from tweepy.streaming import StreamListener
from tweepy import OAuthHandler
... | true |
4faced3e8a0c83a97ea83c5b1011b44de0d7a39e | Python | efedorow/data-science | /simple-tensorflow-model-unit-conversion.py | UTF-8 | 2,046 | 3.484375 | 3 | [] | no_license | import tensorflow as tf
import logging
import numpy as np
logger = tf.get_logger()
logger.setLevel(logging.ERROR)
#these are the input values in kilograms
meters_in = np.array([1, 5, 8, 15, 23, 34, 49, 69, 82, 96])
#these are the output values in pounds determined via the conversion formula
pounds_out = np.array([2.... | true |
540ec7883267b993cf5853640c3af3c2aae3a307 | Python | sassaf/VehicleValueEstimator | /value_estimator.py | UTF-8 | 4,788 | 2.703125 | 3 | [] | no_license | from keras.models import Sequential
from keras.layers import Dense, Dropout, Activation, Flatten
from keras.layers import Convolution2D as Conv2D
from keras.layers import MaxPooling2D, SeparableConv2D
from keras.optimizers import SGD, rmsprop
import numpy as np
import scipy
import cv2
import os
from copy import copy
fr... | true |
a60b561905f6f1dae79c9f014f5e0fd728bf7f58 | Python | Esiravegna/0pizero_sensors | /sensors/MQX/MQ135.py | UTF-8 | 5,737 | 2.625 | 3 | [
"Apache-2.0"
] | permissive |
from __future__ import division
import time
import math
from utils.log import log
log = log.name(__name__)
class MQ135(object):
######################### Hardware Related Macros #########################
RL_VALUE = 10 # define the load resistance on the board, in kilo ohms
... | true |
99da4b388ad0d84145dfc50ebaf5cb34d4b38acb | Python | chenjiahui1991/LeetCode | /P0212.py | UTF-8 | 1,419 | 3.4375 | 3 | [] | no_license | class Solution:
def findWords(self, board, words):
"""
:type board: List[List[str]]
:type words: List[str]
:rtype: List[str]
"""
trie = {}
for word in words:
t = trie
for ch in word:
if ch not in t:
t... | true |
c38c0c6fb166d79ce43e9ac65e032e589f7cd5c3 | Python | zhaosiheng/SR-GNN_PyTorch-Geometric | /src/utils.py | UTF-8 | 2,799 | 2.671875 | 3 | [] | no_license | import networkx as nx
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch_geometric.utils import to_networkx
class NodeDistance:
def __init__(self, data, nclass=4):
"""
:param graph: Networkx Graph.
"""
G = to_networkx(... | true |
eac74145405021ad3003ca38e7a72bd279836732 | Python | osgioia/LosSimpsonsFrasesBot | /main.py | UTF-8 | 595 | 2.671875 | 3 | [] | no_license | import json
import requests
import tweepy
from keys import *
auth = tweepy.OAuthHandler(CONSUMER_KEY, CONSUMER_SECRET)
auth.set_access_token(ACCESS_TOKEN, ACCESS_TOKEN_SECRET)
# Create API object
api = tweepy.API(auth)
# Creamos la petición HTTP con GET:
r = requests.get('https://los-simpsons-quotes.herokuapp.com/v1... | true |
ae343316c56c5cbf1e0fc294a1e9a2959ebf1a53 | Python | bhabicht/gravity-sim | /tests/leap_frog_algorithm_test.py | UTF-8 | 2,777 | 2.796875 | 3 | [] | no_license | import unittest
import numpy as np
import sys
import scipy.constants as const
from code.leap_frog_algorithm import update_all_positions
from code.leap_frog_algorithm import calculate_all_forces
from code.leap_frog_algorithm import update_all_velocities
from code.planet_system_creation import Massiveobject
sys.path.a... | true |
ed3594ed74d378674d43ffbc4d10a147f61cb8a2 | Python | vlad24/Univiersity-Computer-Vision | /solovyev/src/gamma.py | UTF-8 | 1,818 | 3.015625 | 3 | [] | no_license | '''
Created on Mar 9, 2017
@author: vlad
'''
import cv2
import matplotlib.pyplot as plt
import numpy as np
def gamma_correction(img, correction):
result = img[:]
result = result / 255.0
result = cv2.pow(result, correction)
return np.uint8(result * 255)
def log_correction(img):
result = np.c... | true |
5638e712e10f4cb8531ff5eaa8a7c69ea5a12e8c | Python | stellaluminary/Baekjoon | /15684.py | UTF-8 | 1,983 | 3.234375 | 3 | [] | no_license | """
Method 2
시간 초과
"""
n, m, h = map(int, input().split())
visited = [[False] * (n+1) for _ in range(h+1)]
combi = []
for _ in range(m):
a, b = map(int, input().split())
visited[a][b] = True
def check():
for i in range(1, n+1):
now = i
for j in range(1, h+1):
if visited[j][now-1... | true |
2fb202a77566f145421182adcd85aaa00e26987e | Python | Trietptm-on-Coding-Algorithms/eulerproject | /046.py | UTF-8 | 447 | 3.140625 | 3 | [] | no_license | #! /usr/bin/env python
from eulerutils import genprime,isprime
def goldbach():
gp = genprime()
p = gp.next()
q = gp.next()
while True:
for com in xrange(p+2,q,2):
if not isop(com):
return com
p = q
q = gp.next()
def isop(com):
... | true |
ef1a845c21de45c1d96b2fd9d0a460663a401839 | Python | kirin7890/ABC | /ABC/056/A.py | UTF-8 | 175 | 3.125 | 3 | [] | no_license | a, b = map(str, input().split())
if a == 'H':
ac = 1
else:
ac = -1
if b == 'H':
tcd = 1
else:
tcd = -1
if ac * tcd > 0:
print ('H')
else:
print ('D')
| true |
3c0e2567dc032ff9e81884a0146793b2e88ae93d | Python | RyanIsCoding2021/RyanIsCoding2021 | /exercises/culculate.py | UTF-8 | 3,014 | 3.203125 | 3 | [
"MIT"
] | permissive | import pygame
import random
from itertools import cycle
class Cloud(pygame.sprite.Sprite):
def __init__(self, x, y):
super().__init__()
self.image = pygame.Surface((50, 20))
self.image.set_colorkey((11, 12, 13))
self.image.fill((11, 12, 13))
pygame.draw.ellipse(self.image, p... | true |
f1fe43f3805d89556f27449b1d45d9b0889cdb27 | Python | zwy-888/drfday06-andRBAC | /api/authenticator.py | UTF-8 | 1,197 | 2.703125 | 3 | [] | no_license | from rest_framework import exceptions
from rest_framework.authentication import BaseAuthentication, BasicAuthentication
from api.models import User
class MyAuthentication(BaseAuthentication):
def authenticate(self, request):
print('111')
# 获取认证信息 , 没有就返回None get不会报错
auth = request.META.... | true |
5e1c4f748e95fd9069864fb63880e9c0c2c98580 | Python | clchiou/scons_package | /rule.py | UTF-8 | 2,106 | 2.53125 | 3 | [
"MIT"
] | permissive | # Copyright (c) 2013 Che-Liang Chiou
from collections import OrderedDict
from scons_package.label import Label, LabelOfRule, LabelOfFile
from scons_package.utils import topology_sort
class RuleRegistry:
def __init__(self):
self.rules = OrderedDict()
def __len__(self):
return len(self.rules... | true |