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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
1e0dc0133d5f1fb7574e876c88d4dc4ce0ff6bff | Python | dev-amit-kumar/interview-data | /question/Indycium/question4ab.py | UTF-8 | 1,473 | 3.828125 | 4 | [] | no_license | def print_pattern(n):
if(n < 4):
for i in range(n):
print('*')
return
count = 3
while(count <= n):
if((count+2) % 8 == 0):
print(' ', end="")
count += 5
else:
print('*', end="")
count += 1
print()
count = 2
... | true |
7a392b6344830f320180b4aaf6de4c4fe32529e9 | Python | Dammi87/unet_weight | /unet/label/convert.py | UTF-8 | 2,550 | 3.390625 | 3 | [] | no_license | """Convert image to a weight image and save in folder.
The saved weight image will be normalized with a factor w0 + 1
This means, that a white pixel of value 255 is in reality a weight
of w0 + 1. So, if the converted image is to be converted to the orginal
weight value again, the following formula applies:
weight... | true |
e0b3fc535103bd36bce93ba281ac194a4f2d7c54 | Python | sayands/opencv-implementations | /Image-Search-Engine/imagesearchutil/rgbhistogram.py | UTF-8 | 485 | 3.046875 | 3 | [] | no_license | # import the necessary packages
import imutils
import cv2
class RGBHistogram:
def __init__(self, bins):
# store the no.of bins the histogram will use
self.bins = bins
def describe(self, image):
# compute a 3D histogram in the RGB colorspace
# then normalise the image
hi... | true |
758976e6db73afd9960cd106dc68733d86c44a1a | Python | silnrsi/libreoffice-linguistic-tools | /LinguisticTools/pythonpath/lingt/app/data/wordlist_structs.py | UTF-8 | 9,394 | 2.90625 | 3 | [] | no_license | # -*- coding: Latin-1 -*-
"""
Data structures used by other parts of the application.
To avoid cyclic imports, these are not defined in the WordList module.
This module exports:
WordInList
ColumnOrder
WhatToGrab
"""
import collections
import logging
import os
import re
from grantjenks.tribool import Tribo... | true |
acb3ea73d9a25a147f08221f4ff16952be4338d3 | Python | pskrillz/python_backend_demos | /demo2_flask_hello_name.py | UTF-8 | 1,334 | 3.109375 | 3 | [] | no_license | from flask import Flask
from flask_sqlalchemy import SQLAlchemy
import os
from dotenv import load_dotenv
# creating a simple flask application that uses data from the db
app = Flask(__name__)
#env variable doesnt like to work with python interactive terminal
app.config['SQLALCHEMY_DATABASE_URI'] = os.getenv('CON... | true |
72c2ab0f7db5b575fd4c3d6ae064254597a8c864 | Python | losskatsu/codility | /binary-gap.py | UTF-8 | 705 | 3.203125 | 3 | [] | no_license | # you can write to stdout for debugging purposes, e.g.
# print("this is a debug message")
def solution(N):
# write your code in Python 3.6
currentN = N
binN = ""
while(True):
if(currentN==1):
binN = binN + "1"
break
else:
tmp_remain = str(currentN%2)
... | true |
dea842e3c48a115a5f0d8266171fb6d2be966964 | Python | adairxie/python | /mytimer2.py | UTF-8 | 897 | 2.984375 | 3 | [] | no_license | #File mytimer.py
"""
timer(spam,1,2,a=3,b=4,_reps=1000) Calls and times spam(1,2,a=3)
_reps times, and returns total time for all runs,with final results.
best(spam,1,2,a=3,b=4,_reps=50) runs best-of-N timer to filter out any system load variation, and returns best time among _reps tests
"""
import sys,time
if sys.p... | true |
2c192275ca23c8106e0adf7d97753cb7924da006 | Python | linth/learn-python | /decorator/decorator-basic-1.py | UTF-8 | 1,168 | 3.96875 | 4 | [] | no_license | '''
Reference:
- https://foofish.net/python-decorator.html
'''
import logging
logger = logging.getLogger()
logger.setLevel(logging.DEBUG)
''' [Example 1] This is decorator without parameters. '''
def use_logging(func):
def wrapper():
logging.debug('{} is running'.format(func.__name__))
return ... | true |
e15db3317d2682dbf65d48eb988e844d91c311e8 | Python | savva-kotov/python-intro-practise | /2-2-3.py | UTF-8 | 275 | 3.390625 | 3 | [] | no_license | '''
Посчитайте сумму первых k нечетных чисел. Число k подается на вход программы.
Sample Input:
2
Sample Output:
4
'''
a = int(input())
res = 0
nez = 1
for i in range(a):
res += nez
nez += 2
print(res)
| true |
79e64baf5df5c0a6404aace9e85ab7f3c6aab8b2 | Python | walkccc/LeetCode | /solutions/2525. Categorize Box According to Criteria/2525.py | UTF-8 | 389 | 3.15625 | 3 | [
"MIT"
] | permissive | class Solution:
def categorizeBox(self, length: int, width: int, height: int, mass: int) -> str:
isBulky = length >= 10000 or width >= 10000 or height >= 10000 or length * \
width * height >= 1_000_000_000
isHeavy = mass >= 100
if isBulky and isHeavy:
return 'Both'
if isBulky:
retu... | true |
b006dcae3ccf814e214b80783fff2fa9b1acab8a | Python | bang-a-coder/search-engine | /indexing.py | UTF-8 | 1,164 | 2.75 | 3 | [] | no_license | from collections import defaultdict
import preprocessors
from preprocessors import normalizer,tokenizer
import queers
from queers import and_query, or_query
from indexers.biworder import biworder
from pos_indexer import pos_indexer
docs = {
1: 'new home sales top forecasts new',
2: 'home sales rise in july',
3: 'in... | true |
22250058d83d6f8cbf4993774f43637f80c54024 | Python | jaylenjohnson/Python | /HW1/Hw.py | UTF-8 | 1,234 | 4.15625 | 4 | [] | no_license | print ("Welcome to the guessing game\n")
guess=0
min=1
max=100
mid= (min + max) // 2
name = raw_input("Hi, what is your Name? ")
print("Hello " + name + "," + " Lets Play a Game!")
print("Think of random number from 1 to 100, and I'll try to guess it!\n")
userinput="no"
while userinput !="yes":
randomanswer= mid
... | true |
7ef35055560811628ecc8deba913a0bd517457d3 | Python | btroisi/PythonProjects-SciPy | /Project8/data.py | UTF-8 | 7,579 | 3.296875 | 3 | [] | no_license | #Brandon Troisi
#2/14/17
#Data.py
import csv
import numpy as np
from copy import deepcopy
import analysis as an
class Data:
def __init__(self,filename=None):
#fields
self.raw_headers=[]
self.raw_types=[]
self.raw_data=[]
self.header2raw={}
self.raw_num_rows=0
... | true |
70d1c6381486bacd2b408cb180ef5677e735cd28 | Python | anoukv/disambiguateCWSPR | /clusteringRemi/clustering.py | UTF-8 | 2,460 | 3.34375 | 3 | [] | no_license | from random import choice
from math import sqrt
from collections import defaultdict
class cluster:
def __init__(self, center = dict() ):
self.center = center
self.elements_set = set(center.keys())
self.assigned_datapoints = []
def add_datapoint(self, datapoint):
self.assigned_datapoints.append(datapoint)
... | true |
1be968480a327f5d6efaca34ec13e5f3278276fd | Python | alkimya/scripts | /password.py | UTF-8 | 442 | 3.3125 | 3 | [] | no_license | import string
from secrets import choice
alphabet = string.printable
def pwd(len):
while True:
password = ''.join(choice(alphabet) for i in range(len))
if (any(c.islower() for c in password)
and any(c.isupper() for c in password)
and sum(c.isdigit() for c in passwor... | true |
31e737bdbf383b0929132e437974f8d83a87bf8f | Python | roboticmonkey/hb-intro-final-project_Battleship | /utilities.py | UTF-8 | 6,050 | 3.546875 | 4 | [] | no_license | import board
import random
random.seed()
test_grid = board.Board()
#check for valid number range. returns True of False
def valid_number(user_input):
if (len(user_input) == 2):
if (user_input[1] == "0"):
return False
else:
return True
if (len(user_input) !=2):
if (len(user_input) == 3):
number = use... | true |
fcfa33e093910d0e6f2c2f8a12b100e4091af9fa | Python | xiexiying/study-xxy | /note-month02/02data_manage3-8/day04/exercise4-2.py | UTF-8 | 180 | 3.609375 | 4 | [] | no_license | """
在一串英文字符串中，匹配出所有以大写开头的单词
"""
import re
str_01="How are you Jame I"
res=re.findall("[A-Z][a-z]*",str_01)
print(res)#['How', 'Jame']
| true |
0d0e3eff91d668bd8c95b8a20cbc2783467ca46a | Python | dhurley14/TitanicPrediction | /decision_tree.py | UTF-8 | 8,976 | 3.375 | 3 | [] | no_license | import math
import csv
class Tree:
def __init__(self, parent=None):
self.parent = parent
self.children = []
self.label = None
self.classCounts = None
self.splitFeatureValue = None
self.splitFeature = None
def printBinaryDecisionTree(root, indentation=""):
if root... | true |
04e9f968caa897c0e114542522513fc30322539b | Python | dcatp408/regex_with_jeremy | /flask_app/controllers/users.py | UTF-8 | 5,042 | 2.515625 | 3 | [] | no_license | import re
from flask.wrappers import Request
from flask_app import app
from flask import render_template, redirect, request, session, flash
from flask_app.models.user import User
from flask_app.models.saved_regular_expressions import Expression
from flask_bcrypt import Bcrypt
bcrypt = Bcrypt(app)
@app.route("/")
def ... | true |
770ce84634a06e3b499c26081f6d4c02d75c5b1a | Python | RoenAronson/pokemonSpawner | /PokemonListGenerator.py | UTF-8 | 2,617 | 3.390625 | 3 | [] | no_license | import Pokemon
import os
import random
import math
from pathlib import Path
from PIL import Image
pokemonImages = 'D:\PycharmProjects\PokemonRandomizer\pokemon_sprites';
pokemonList = [] # List of all of the pokemon objects, they have a weight for random encounter,
# name, and associated image.
weightList = [] # Li... | true |
755ae54a3334d0fe4e2ae38037af6de6491ac0aa | Python | ag300g/leecode | /nextPermutation.py | UTF-8 | 1,449 | 4.34375 | 4 | [] | no_license | # Implement next permutation,
# which rearranges numbers into the lexicographically next greater permutation of numbers.
# If such arrangement is not possible,
# it must rearrange it as the lowest possible order (ie, sorted in ascending order).
# The replacement must be in-place, do not allocate extra memory.
# He... | true |
0929a3d1d2b41aa3ccd298f9e4e4ee6a1bc924c8 | Python | ferhatelmas/algo | /codechef/practice/easy/comm3.py | UTF-8 | 383 | 3.125 | 3 | [
"WTFPL"
] | permissive | def dist(x1, y1, x2, y2):
return ((y2 - y1) ** 2 + (x2 - x1) ** 2) ** 0.5
for _ in range(int(input())):
r = int(input())
a, b = map(int, input().split())
c, d = map(int, input().split())
e, f = map(int, input().split())
l = [dist(a, b, c, d), dist(a, b, e, f), dist(c, d, e, f)]
if sorted(... | true |
163a645c27f2df33771e37bf879ff25f1ed0abcf | Python | elenacotan/Curs4 | /Course_4_ex_3.py | UTF-8 | 413 | 3.8125 | 4 | [] | no_license | '''Sa se scrie un program care citeste un string de la tastatura
si afiseaza pe ecran fiecare cuvant din string pe cate o linie.
Pentru a realiza acest lucru, se va folosi functia split.
Separatorul dupa care se face despartirea este caracterul spatiu.'''
def words_split(my_str):
words=my_str.split()
for wo... | true |
27dab7eeb1d20665e02a4283b514b145cbdaf030 | Python | mnazzaro/Schedule-Maker-UMD | /populate_azure_db.py | UTF-8 | 1,421 | 2.90625 | 3 | [] | no_license | import pyodbc
import requests
import json
server = 'ahahahahahaha.database.windows.net'
database = 'ScheduleMaker'
username = 'Mark'
password = 'Lol this isnt my real password'
driver= '{ODBC Driver 17 for SQL Server}'
db = pyodbc.connect('DRIVER='+driver+';SERVER='+server+';PORT=1433;DATABASE='+database+';UID='+u... | true |
3cc07758331c5fe12cad0e65e6123dccb7228b1f | Python | Matherunner/pystrafe | /pystrafe/tests/test_basic.py | UTF-8 | 1,421 | 2.6875 | 3 | [
"MIT"
] | permissive | from pytest import approx, warns, raises
from pystrafe import basic
def test_collide():
v = [-1000, 123, 456]
basic.collide(v, [1, 0, 0])
assert v == [0, 123, 456]
def test_collide_out_of_plane():
v = [100, 100, 100]
with warns(RuntimeWarning):
basic.collide(v, [1, 0, 0])
assert v ... | true |
5348041284f5e5d5ad3fef7e497ae1965c8b4bb5 | Python | jaychen1996-byte/mmdetection_2.7 | /try_mmdet/ssd_vgg.py | UTF-8 | 7,381 | 2.640625 | 3 | [] | no_license | import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import VGG
class SSDVGG(VGG):
"""VGG Backbone network for single-shot-detection.
Args:
input_size (int): width and height of input, from {300, 512}.
depth (int): Depth of vgg, from {11, 13, 16, 19}.
out_i... | true |
b1fbf7f0caad526bc68b05341196b3a38f4f699a | Python | lidiiakliuchna/hw1 | /HW06/hw.py | UTF-8 | 393 | 2.953125 | 3 | [] | no_license | d = {}
with open("amh.tsv", encoding='utf-8') as file:
vovel = file.readline()
for line in file:
key, *value = line.split()
d[key] = value
print("Enter text: ")
st = str(input())
result = list()
len_st = len(st)
for i in range(0,len_st):
if st[i] in d:
... | true |
240a989a901e227d2c150faeb5bc59b4bd78c202 | Python | rickyfernandez/fastai_course_3 | /course_2/exp/optimizer.py | UTF-8 | 4,976 | 2.71875 | 3 | [] | no_license | from functools import partial
from exp.utils import listify, compose
class Optimizer:
"""Base class for all optimizers."""
def __init__(self, params, steppers, **defaults):
"""
Optimizer for updating gradients, params are the variables to
update with steppers which is a list of functio... | true |
70f70000d05f2d603f11e621c4efafb56c035b60 | Python | foryou7242/smart_study | /cookbook/chapter2/12_Sanitizing_and_Cleaning_Up_Text.py | UTF-8 | 4,180 | 4.21875 | 4 | [] | no_license | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Oct 13 08:14:07 2018
@author: sungyunlee
"""
'''
Problem
Some bored script kiddie has entered the text “pýtĥöñ” into a form on your web page
and you’d like to clean it up somehow.
'''
# The problem of sanitizing and cleaning up text applies to a ... | true |
1ab8aa3956fc2b9b8e8aaab7542d10bcc9033024 | Python | nizguy/my_python_ltp | /conversions.py | UTF-8 | 1,163 | 4.21875 | 4 | [] | no_license | def celsiusToFahrenheit(celsiusTemp):
fahrenheit = celsiusTemp * (9.0/5.0) + 32.0
return fahrenheit
def fahrenheitToCelsius(fahrenheitTemp):
celsius = (fahrenheitTemp - 32.0) * (5.0/9.0)
return celsius
def showMenu():
print "A: Convert celsius to fahrenheit"
print "B: Convert fahrenheit to... | true |
fc500acef6c3bc8dccad9d5ba3f5cb26c2db40d6 | Python | utikku1993/Text-Preprocessing-Toolkit | /tools/remove_special_characters.py | UTF-8 | 1,206 | 2.859375 | 3 | [] | no_license | import re
def run(payload):
keep = []
remove = []
preserveSpaces = True
if 'specialChars' in payload.keys():
if 'preserveSpaces' in payload['specialChars'].keys():
preserveSpaces = payload['specialChars']['preserveSpaces']
if 'keep' in payload['specialChars'].key... | true |
e331a1e43d8968dece1e4fba1493551ab045281d | Python | h4hany/yeet-the-leet | /algorithms/Hard/336.palindrome-pairs.py | UTF-8 | 1,105 | 3.40625 | 3 | [] | no_license | #
# @lc app=leetcode id=336 lang=python3
#
# [336] Palindrome Pairs
#
# https://leetcode.com/problems/palindrome-pairs/description/
#
# algorithms
# Hard (33.79%)
# Total Accepted: 102.2K
# Total Submissions: 302.5K
# Testcase Example: '["abcd","dcba","lls","s","sssll"]'
#
# Given a list of unique words, return all... | true |
e7c7591a2fb9bb6debdc2c67cc77d8be98e8341b | Python | littlewilliam/Datamining_Tianchi | /模型/LR_do.py | UTF-8 | 1,550 | 2.84375 | 3 | [] | no_license | # coding=utf-8
__author__ = 'tianchuang'
import pandas as pd
import statsmodels.api as sm
import pylab as pl
import numpy as np
import time
# 加载数据
df = pd.read_csv("../res/user_11_26_11_28_RF.csv")
# 浏览数据集
print df.head()
'''
df.hist()
pl.show()
'''
# 需要自行添加逻辑回归所需的intercept变量
df['intercept'] = 1.0
print df.head()... | true |
572eb27ea03ed55efa605e8ed871a76c2f30f933 | Python | swj0418/ReverseMouseTrap | /tests/MovementTest.py | UTF-8 | 375 | 2.59375 | 3 | [] | no_license | from loader.ImageLoader import *
from detector.ObjectDetector import ObjectDetector
from movements.Movements import *
original, new, binary, color_matrix = load_image(Difficulty.EASY)
obj_detector = ObjectDetector(new, binary, color_matrix)
obj_detector.scan_image()
objects = obj_detector.get_objects()
object_to_mo... | true |
d4c03a987007a292382617386c313cf5e478280a | Python | Bingmang/pcap2kdd | /main.py | UTF-8 | 1,054 | 2.765625 | 3 | [] | no_license | import os
import sys
import time
import multiprocessing
if len(sys.argv) > 1:
dir_name = sys.argv[1]
if not os.path.exists('./Kdd'):
print('main.py - Creating directory: Kdd ...')
os.makedirs('./Kdd')
print('main.py - Done.')
def get_pcap_files(directory):
res = []
for root, _, files in os.w... | true |
5603ff94ad0329a5d50f948ce56ffe5190b02838 | Python | saratkumar17mss040/Python-lab-programs | /Classes_and_Object_Programs/cls5.py | UTF-8 | 566 | 4.28125 | 4 | [
"MIT"
] | permissive | # inheritance - 1 - constructor method
class Person:
def __init__(self, firstname, lastname):
self.firstname = firstname
self.lastname = lastname
class Student(Person):
def __init__(self, firstname, lastname, total):
super().__init__(firstname, lastname)
self.total = total
... | true |
926ecf8e7c1aeeb1e3adb9e6deb643670bee520d | Python | tzahishimkin/extended-hucrl | /rllib/value_function/model_based_q_function.py | UTF-8 | 3,813 | 2.734375 | 3 | [
"MIT"
] | permissive | """Value function that is computed by integrating a q-function."""
import torch
from rllib.algorithms.abstract_mb_algorithm import AbstractMBAlgorithm
from rllib.util.neural_networks.utilities import DisableGradient, unfreeze_parameters
from rllib.util.utilities import RewardTransformer
from rllib.util.value_estimati... | true |
7a2efcec6131a943aafc3fe00e3c09515a867949 | Python | Pavel-98/Coursera | /Twitter/problem3.py | UTF-8 | 1,365 | 3 | 3 | [] | no_license | import sys
import json
sentimentItems = {}
TwitScores = {}
afinnfile = open(sys.argv[1], 'r')
scores = {} # initialize an empty dictionary
for line in afinnfile:
term, score = line.split("\t") # The file is tab-delimited. "\t" means "tab character"
sentimentItems[term] = int(score) # Convert the score to an ... | true |
4185a684a3f39cf2010347eacfeafed8c8746152 | Python | griusfux/conceptrpg2 | /Data/Scripts/Engine/rc4/rc4.py | UTF-8 | 3,560 | 3.0625 | 3 | [] | no_license | #!/usr/bin/env python
"""Implementation of RC4 with drop[(nbytes)] improvement
By using a class, the inital expense of generating the key-stream and drop bytes
is only incurred on startup. This means a much stronger 'good enough'
encryption is available with zero extra overhead. Default usage has a keystream
b... | true |
c7c93d218d27435d94d84cf701882f3bb82c40ff | Python | dzolotusky/advent-of-code | /2019/6/6.2.py | UTF-8 | 995 | 3 | 3 | [] | no_license | with open("input6.txt") as f:
content = f.readlines()
orbiting_count = {}
for line in content:
line = line.strip()
orbited = line.split(")")[0]
orbiting = line.split(")")[1]
orbiting_count[orbiting] = orbited
visited = []
def count_transfers(orbiting_map, obj, counter):
visited.append(obj)... | true |
8d31bdf13586af1cfcc6ae3f1e6d59d8bc731d7d | Python | Doomsk/Interlin-q | /tests/test_operation.py | UTF-8 | 1,058 | 2.71875 | 3 | [
"MIT"
] | permissive | import unittest
from interlinq.objects import Operation
class TestOperation(unittest.TestCase):
# Runs before all tests
@classmethod
def setUpClass(self) -> None:
op_info = {
'name': "SINGLE",
'qids': ["qubit_1"],
'cids': None,
'gate': Operation.X,... | true |
05955e0919793914d5ac6d469e4311a9f37054a7 | Python | Mashin08/Sitnikov_problem | /window.py | UTF-8 | 829 | 2.765625 | 3 | [] | no_license | # coding: utf-8
# license: GPLv3
"""
Visualization module. Describes main screen processes
"""
import ctypes
import tkinter
user32 = ctypes.windll.user32
window_width = round(user32.GetSystemMetrics(0) * 0.8)
window_height = round(user32.GetSystemMetrics(1) * 0.6)
def create_body_image(space, body):
"""
:... | true |
781a258d40cbe58d8839058db81bf06e8d4db89d | Python | mukhal/Bi-lateral-multiperspective-matching | /data_loader/data_loaders.py | UTF-8 | 3,503 | 2.625 | 3 | [
"MIT"
] | permissive | import torch
import numpy as np
from torchvision import datasets, transforms
from base import BaseDataLoader
import os
class MnistDataLoader(BaseDataLoader):
"""
MNIST data loading demo using BaseDataLoader
"""
def __init__(self, config):
super(MnistDataLoader, self).__init__(config)... | true |
5e6d2800c9b79b51c9b0d6e0e7b1255fe7676a2e | Python | Nunnymolers/Stephen-Hawking | /sh.py | UTF-8 | 680 | 3.484375 | 3 | [] | no_license | from Tkinter import *
import subprocess
master = Tk()
def callback():
txt = "My name is Stephen Hawking, and I was born in Oxford, UK on January 8th, 1942. I was diagnosed with ALS, a paralysing disease, at age 21. I am known for my theories on black holes, and my writing. ALS does not allow me to talk, so I talk... | true |
f43c28e7519683514b05a08827d3b1427c9450ab | Python | Wambuilucy/CompetitiveProgramming | /HackerRank/SolveMeFirst.py | UTF-8 | 137 | 2.90625 | 3 | [] | no_license | #! /usr/bin/python3
# https://www.hackerrank.com/challenges/solve-me-first
num1 = int(input())
num2 = int(input())
print (num1 + num2)
| true |
2883c2fdea0540d15b18adec1786de0b940366d6 | Python | itsvrushabh/demo_site | /app1/views.py | UTF-8 | 642 | 2.671875 | 3 | [] | no_license | from django.shortcuts import render
from app1.models import Student
def test(request):
results = Student.objects.all()
for record in results:
print(record)
context = {
"students": results
}
return render(request, 'app1/students.html', context)
def index(request):
context = {
... | true |
411ec07e009c52b4e3319c7ee05ac2d98ee2e8c6 | Python | laerm0/wei-glyphs-scripts | /AddPlaceHolderBetweenEachGlyph.py | UTF-8 | 799 | 2.71875 | 3 | [
"Apache-2.0"
] | permissive | #MenuTitle: Add Placeholder Between Each Selected Glyph
# -*- coding: utf-8 -*-
""""""
import GlyphsApp
Font = Glyphs.font
Doc = Glyphs.currentDocument
namesOfSelectedGlyphs = [ "/%s" % l.parent.name if hasattr(l.parent, 'name') else "\n" for l in Font.selectedLayers ]
editString = ""
# Replace selected text
TextStor... | true |
a9eee9c9e53ef2ec3311605bd2909d1bbd9dc086 | Python | pyrfume/pyrfume | /pyrfume/predictions.py | UTF-8 | 2,631 | 2.859375 | 3 | [
"MIT"
] | permissive | import pandas as pd
import pyrfume
from pyrfume.features import smiles_to_mordred, smiles_to_morgan_sim
from pyrfume.odorants import all_smiles
def get_predicted_intensities():
"""Return the DREAM model predicted intensities using Mordred (not Dragon) features"""
path = "physicochemical/cids-names-smiles-mor... | true |
852df495fa4bdd130819b844693f3240ed05a1f4 | Python | IvanLeezj/MyCookiesPool | /cookiespool/generator.py | UTF-8 | 1,966 | 2.75 | 3 | [] | no_license | import json
from cookiespool.config import *
from cookiespool.db import RedisClient
from login.login import WeiboCookies
class CookiesGenerator():
def __init__(self, website='weibo'):
self.website = website
self.cookies_db = RedisClient('cookies', self.website)
self.accounts_db = RedisClien... | true |
e7d269c5df7d98cd26b8fc0c9c5b34e113c548a1 | Python | vuamitom/Code-Exercises | /rakuten/rectilinear.py | UTF-8 | 829 | 3.390625 | 3 | [] | no_license | # you can use print for debugging purposes, e.g.
# print "this is a debug message"
def is_overlap(K, L, M, N, P, Q, R, S):
if R < K or M < P:
return False
if S < L or Q > N:
return False
return True
def overlap(K, L, M, N , P, Q, R, S):
if not is_overlap(K, L, M, N, P, Q, R, S):
... | true |
97eb388e352014bfcb1902147502308037890f62 | Python | crayonpop/gitPlayGround | /stringsearch.py | UTF-8 | 1,196 | 2.546875 | 3 | [] | no_license | #-*-coding:cp949 -*-
import os,codecs,sys
global argv1
def proc():
## File Searching
print("Starting...")
filelist= []
root = os.path.dirname( os.path.abspath( __file__ ) )
print("Match File Find Start")
for (path, dir, files) in os.walk(root):
for filename in files:
ext ... | true |
4b229af4c63f935360039b3a5e52cf2a0787eb4d | Python | TakamasaIkeda/-100- | /NLP100/chap1/knock03.py | UTF-8 | 355 | 3.34375 | 3 | [] | no_license | #!/usr/bin/env python
#-*- coding: utf-8 -*-
firstCharacter = []
sentense = "Now I need a drink, alcoholic of course, after the heavy lectures involving quantum mechanics."
splitSentense = sentense.split(" ")
for (number, item) in enumerate(splitSentense):
print item + " " + item[0:1]
firstCharacter.append(item[0... | true |
f286412a56ac5fb843400fffa8f97607bf99f5e1 | Python | Jonahz1/CAVs_ROS_radar | /build/cavs_radar_example/catkin_generated/installspace/radar_parser.py | UTF-8 | 2,942 | 2.8125 | 3 | [] | no_license | #!/usr/bin/env python2
#Author: Jonah Gandy
#NetID: jtg390
#email: jonahgandy@gmail.com
#source 1: https://pypi.org/project/cantools/
#source 2: http://wiki.ros.org/ROS/Tutorials/WritingPublisherSubscriber%28python%29
import rospy
import cantools
import can
from radar_msgs.msg import RadarDetection
#supporting func... | true |
f9db5b1bdc697ae1f6912d29b4a8b8f2ce815d81 | Python | yotti5160/Codility | /Lessons/5-02_GenomicRangeQuery.py | UTF-8 | 613 | 2.71875 | 3 | [] | no_license | def solution(S, P, Q):
l=len(S)
book=[[0]*4 for i in range(l)]
score={'A':0, 'C':1, 'G':2, 'T':3}
nowCount=[0,0,0,0]
for i in range(l):
nowCount[score[S[i]]]+=1
for j in range(4):
book[i][j]=nowCount[j]
ret=[]
for i in range(len(P)):
if P[i]==0:
... | true |
1c4e18f25a6fd61c69d41c9793de833b675369cc | Python | hukai916/FE2OG_project_draft | /scripts/parse_clstr.py | UTF-8 | 2,061 | 2.640625 | 3 | [] | no_license | """
This script is to parse the .clstr file together with cluster id file
in order to reorganize the order of sequences in each cluster by putting
the structure-associated seqs on top of each cluster.
Usage:
python parse_clstr.py filter20.clstr Fatcat/153_0.75_domain.txt
"""
from Bio import SeqIO
import sys
import re
i... | true |
d2efe1747467ae11f225729897d22cb05fec9ba7 | Python | kirpichik/abstractly-example | /ast.py | UTF-8 | 595 | 3.078125 | 3 | [] | no_license |
class Lexeme:
def __init__(self, value):
self.value = value
def get_value(self):
return self.value
def __str__(self):
return self.get_value()
class NumberLexeme(Lexeme):
pass
class FloatLexeme(Lexeme):
pass
class OperatorLexeme(Lexeme):
pass
class EqualLexeme(... | true |
a15173f9ecea1cca5620f3846bc2b5fbc38fd078 | Python | mawan5512/PredicitingEngagement | /Prediction.py | UTF-8 | 2,485 | 2.9375 | 3 | [] | no_license | #!/usr/bin/env python
# coding: utf-8
# In[2]:
from sklearn.metrics import r2_score
from sklearn.metrics import explained_variance_score
from sklearn.model_selection import train_test_split
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
# In[3]:
tweets = pd.DataFrame.from_csv('/Users/moha... | true |
b37c94aaeb73811b4b66e81556fdc14dd28149b4 | Python | zzeleznick/algorithms | /Graph.py | UTF-8 | 8,287 | 3.015625 | 3 | [] | no_license | from __future__ import print_function
import random
from itertools import chain
from collections import Mapping, Iterable
from collections import OrderedDict as OD
from TimeUtils import *
from utils import *
class Vertex(object):
"""A representation of a node with potential edges and weights.
Vertex.edges -> ... | true |
81470539ae094aab5c2b03be96d604b258a8993e | Python | baiasuka/PyhtonStudy | /leetcode/algorithm/100.py | UTF-8 | 1,031 | 4 | 4 | [] | no_license | # 100.相同的树
class TreeNode:
def __init__(self, x):
self.val = x
self.left = None
self.right = None
class Solution:
def isSameTree(self, p: TreeNode, q: TreeNode) -> bool:
def preOrderTraversal(root_node):
"""
使用栈来记录节点实现先序遍历，当左孩子不存在时
:return:
... | true |
2b85eae46181934a6d0bd366117d88fc37d5575e | Python | MarcelRaschke/pytorch-2 | /test/mobile/model_test/gen_test_model.py | UTF-8 | 3,572 | 2.53125 | 3 | [
"BSD-3-Clause",
"LicenseRef-scancode-generic-cla",
"BSL-1.0",
"Apache-2.0",
"BSD-2-Clause"
] | permissive | import torch
import yaml
from math_ops import (
PointwiseOpsModule,
ReductionOpsModule,
ComparisonOpsModule,
SpectralOpsModule,
BlasLapackOpsModule,
)
from nn_ops import (
NNConvolutionModule,
NNPoolingModule,
NNPaddingModule,
NNNormalizationModule,
NNActivationModule,
NNRecu... | true |
b51bbf23fe0209ae3a983fb261e7ddb4e3f34fb1 | Python | SaurabhSakpal/fss16SmallThinExpert | /code/2/4.3/think4_3.py | UTF-8 | 975 | 3.296875 | 3 | [] | no_license | import math
from swampy.TurtleWorld import *
def square(t, length):
for i in range(4):
fd(t, length)
lt(t)
def polygon(t, length, n):
for i in range(n):
fd(t, length)
lt(t, 360/n)
def circle(t, r):
circum = 2*math.pi*r
n=50
polygon(t,circum/n,n)
def arc(t,r,angle):
length = 2*math.pi*r /360 * angle
n... | true |
825f4d377a3ccdbb201bfe79213eb80f925fe242 | Python | paulinacabrera/Modelamiento | /SIR.py | UTF-8 | 2,036 | 2.953125 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Sat Dec 21 05:37:42 2019
@author: Paulina
"""
import scipy.integrate
import numpy as np
import matplotlib.pyplot as plt
def SIR_model(y, t, beta, gamma, N):
S, I, R = y
dS_dt = -beta*(S*I/N)
dI_dt = beta*(S*I/N) - gamma*I
dR_dt = gamma*I
... | true |
7edee9459536a2afcbcd6077d31a1dee283573e4 | Python | yehzhang/RapidTest | /rapidtest/_compat.py | UTF-8 | 5,311 | 2.96875 | 3 | [
"MIT"
] | permissive | import inspect
import sys
from collections import Sequence
PY3 = sys.version_info[0] == 3
PY2 = sys.version_info[0] == 2
PRIMITIVE_TYPES = int, float, bool, str, type(None)
if PY3:
# noinspection PyUnresolvedReferences
import queue
basestring = str
range = range
if PY2:
# noinspection PyUnreso... | true |
aa2c95377c8a8002970c8887cd10cc3e8d1d88e8 | Python | MaximeGLegault/glo2005 | /app/infrastructure/password_hasher_brcypt.py | UTF-8 | 423 | 2.890625 | 3 | [] | no_license | from flask import current_app
class PasswordHasherBCrypt:
def __init__(self):
self.bcrypt = current_app.config["hasher"]
def generate_password_hash(self, password: str) -> str:
return self.bcrypt.generate_password_hash(password).decode('utf-8')
def check_password_hash(self, password: str... | true |
8d341569a6502e9d78018faceebd6618c56b35b1 | Python | xquyvu/starbucks-offer-optimisation | /src/etl/portfolio_and_profile_to_csv.py | UTF-8 | 596 | 2.953125 | 3 | [] | no_license | import pandas as pd
# Since portfolio and profile are quite nicely formatted, we can export them to csv
# without further preprocessing
def json_to_csv(from_path, to_path):
"""Read data from json and export to csv as table"""
pd.read_json(from_path, orient='records', lines=True).to_csv(to_path, index=False)
... | true |
f6b3ea16007f261504d03aa4598f7fe9377b0ab1 | Python | bverpaalen/numberClassifier | /task5.py | UTF-8 | 2,455 | 3.234375 | 3 | [] | no_license | import numpy as np
import math as m
class xor_net():
def __init__(self, x1 = 0, x2 = 1):
self.x1 = x1
self.x2 = x2
self.initialWeights()
def initialWeights(self):
np.random.seed(200)
self.weights = np.random.rand(3, 3)
class GradientD(x... | true |
6cccae3ebd8b078db9218be0611674a1ed9d3d5a | Python | uai-python/tim-7 | /models.py | UTF-8 | 1,150 | 2.53125 | 3 | [
"MIT"
] | permissive | from config import db
class Pemain(db.Model):
__tablename__ = 'pemain'
id_pemain = db.Column(db.Integer, primary_key=True)
salut = db.Column(db.Varchar(15))
nama = db.Column(db.Varchar(30))
usia = db.Column(db.Integer)
jenis_kelamin = db.Column(db.Varchar(10))
email = db.Column(db.Varchar... | true |
406b787dd4eb99b7afee1bca691953bf583eb820 | Python | olafur19/forritun_OIH | /w1/test-1.py | UTF-8 | 102 | 2.6875 | 3 | [] | no_license |
heimilisfang = "Bergás 6"
phoneno = "7725771"
nafn = "Ólafur Ingvi Hansson"
print(heimilisfang, phoneno, nafn)
| true |
db67d6ce5cda45b299e0884b276162245e155bca | Python | liuxushengxian/Python001-class01 | /week01/homework_1.py | UTF-8 | 2,084 | 2.671875 | 3 | [] | no_license | # 使用requests和bs4获取猫眼电影
import requests
from bs4 import BeautifulSoup as bs
import pandas as pd
user_agent = 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/83.0.4103.116 Safari/537.36'
header = {'Cookie':'__mta=220435111.1593175907653.1593191724978.1593192743136.3; uuid_n_... | true |
383564c5b6b873d1ae685ca718da933845f2dc96 | Python | infiniteoverflow/Student-Information-Analysis | /screens/select_branch.py | UTF-8 | 2,454 | 2.859375 | 3 | [] | no_license | from tkinter import *
from screens.show_elective import *
class Select_branch:
def __init__(self,branch):
self.root = Toplevel()
self.root.geometry("2000x1024")
self.root.title("Electives")
self.c = Canvas(self.root,bg = "gray",height=2000,width=2024)
photo = PhotoIma... | true |
f330c40d82e53e63ebe65a48b008d76094a1d2ed | Python | orinbai/jobs | /wordprocess.py | UTF-8 | 1,035 | 3.296875 | 3 | [] | no_license | # coding=utf8
import re
class discretize:
def __init__(self, code='utf8', maxchar=6):
self.code = 'utf8'
self.maxchar = 6+1
self.enumrate = range(1, self.maxchar)
self.signRE = re.compile("[\s+\.\!\/_,$%^*(+\"\']+|[+——！，。？、~@#￥%……&*（）《》‘’“”；：]+".decode(self.code))
def _rem... | true |
3dbe5b093152954e3aa5387ccde71ff606dd1478 | Python | rollila/python-udp | /server/player_controller.py | UTF-8 | 1,990 | 2.828125 | 3 | [] | no_license | import copy
import pickle
import time
from threading import Lock, Timer
from player_state import PlayerState
from client_state import ClientState
class PlayerController:
def __init__(self):
self.players = {}
self.next_player_id = 0
self.timer = Timer(20, self.prune_disconnected)
s... | true |
dd4ce0de4ec465c16ed09daa310d7fa922f5c411 | Python | save-repos/gymapp-python | /source/reportes.py | UTF-8 | 1,537 | 2.828125 | 3 | [] | no_license | from tkinter import ttk,Label, messagebox as ms,Toplevel,END,BUTTON,LEFT
from datetime import date
import source.funciones as fn
class Reporte:
def __init__(self, usuario):
# self.panel = Tk()
self.panel = Toplevel()
self.panel.title('Reportes')
self.panel.iconbitmap('img/icon.ico... | true |
8caa24c3c55cbdc30e310578934dfc90dd728975 | Python | MattCCS/Pipers | /slowline.py | UTF-8 | 1,100 | 3.203125 | 3 | [] | no_license | """
Tool to slow piped input with an arbitrary delay
"""
import argparse
import sched
import sys
import time
assert sys.version_info >= (3, 6, 0)
DESCRIPTION = """\
Bottlenecks a piped process to output a line every N seconds (>= 0.001).
Guarantees the delay to be at least N seconds."""
def output(text):
sys... | true |
f7c0e47e14b4a885ca2ce9ea38ed0ced05cb37fc | Python | abdulmakuya/IoT-and-Embedded | /Python-for-Embedded-and-IoT/basics/pyserial-with-arduino/read-light-intensity/read_ldr.py | UTF-8 | 188 | 2.75 | 3 | [
"MIT"
] | permissive | from serial import Serial
arduino = Serial('COM12', baudrate=115200, timeout=1)
arduino.flush
while True:
arduino.write(b'r')
line = arduino.readline().decode()
print(line)
| true |
57d050d476fa7362f44985a1fc67c23e49431fce | Python | albinai/Wd | /python labs/part5/f.py | UTF-8 | 192 | 3.21875 | 3 | [] | no_license | n = int(input())
arr = input()
l = list(map(int,arr.split(' ')))
checker = 0
for i in range (1,n-1):
if l[i-1] < l[i] and l[i+1] < l[i]:
checker += 1
print(checker) | true |
e20ece591a2b8858e5c717aec509a13557a8e7bb | Python | 1zb/deconv | /util.py | UTF-8 | 1,728 | 2.96875 | 3 | [] | no_license | import numpy as np
from PIL import Image
import matplotlib.pyplot as plt
def read_grey_image(filename):
image = np.array(Image.open(filename).convert('L')) / 255.0
return image
def to_pil(image):
return Image.fromarray(np.uint8(image * 255))
def gen_gaussian_kernel(width=3, sig=1):
ax = np.arange(... | true |
b3084162a74a771166d91f78219ff0f82bd5231c | Python | krzywilk/audio-analysis | /main.py | UTF-8 | 449 | 2.546875 | 3 | [] | no_license |
import tkinter as tk
from gui.master_view import MasterView
from gui.player.simple_music_player import MusicPlayer
from gui.player.spectrogram.simple_spectrogram import SpectrogramPlot
def init_views():
views = [
("Simple player", MusicPlayer, "Simple player"),
]
return views
if __name__ == "__m... | true |
eaf7bb8560e871a56df93caae9c94cde8783c4e1 | Python | TheShorterBomb/programs1 | /School/Radical approximation.py | UTF-8 | 76 | 3.359375 | 3 | [] | no_license | n = int(input())
i = 1
t = 1/2
while i < n:
t = 1/(2+t)
i += 1
print(t+1)
| true |
c35462a130f0a9fa7a0009db1edc81cc3916c970 | Python | icebreakeris/project2021public | /tests/test_auth.py | UTF-8 | 1,307 | 2.609375 | 3 | [] | no_license | from test_base import BaseTestCase
from util import TestUtilities
class AuthUnitTests(BaseTestCase):
def test_register_fail(self):
response = TestUtilities.register(self.app, "username", "password1", "Pass!1!", "testing@gmail.com")
self.assertIn(b'Invalid details', response.data)
def test_re... | true |
992e1c1880beef593eaef898872bfe61964e8504 | Python | AkshayMalviya/Client_Authentication_TP | /client.py | UTF-8 | 4,854 | 3.484375 | 3 | [] | no_license | import socket
import datetime
import pdb
def write_response(start, finish, artist, length):
# This writes information to the log file 'client.log
new_file = open("client.log", 'a+')
new_file.write("Server took {} to complete the request for '{}' ".format(str(finish - start), artist))
new_file.w... | true |
65a6143c6b4b39c3163ab96e1a79c79adda45e28 | Python | ltvlx/Pizza-cutting-problem | /sublayout.py | UTF-8 | 3,349 | 3.515625 | 4 | [] | no_license | def get_sublayout_n(pattern, x, y, wi, he, s_v, s_h):
"""
A function that returns the sublayout number for the given input pattern key
"""
if pattern == "left":
if (x < s_v and x+wi-1 < s_v):
return 1
elif (x >= s_v and x+wi-1 >= s_v):
return 2
elif patte... | true |
69de0a69e595f15432e1dc22b0278efdf047596c | Python | jimmylai/Fixit | /fixit/tests/test_rule_lint_engine.py | UTF-8 | 5,258 | 2.59375 | 3 | [
"MIT",
"Python-2.0",
"Apache-2.0"
] | permissive | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from pathlib import Path
import libcst as cst
from libcst.testing.utils import UnitTest, data_provider
from fixit import rule_lint_engine
fr... | true |
f249e7a6c594042804eb0ae613fe79c24fbe3ded | Python | blackivory/dtwalign | /dtwalign/step_pattern.py | UTF-8 | 19,439 | 3.015625 | 3 | [
"MIT"
] | permissive | # -*- coding: utf-8 -*-
import numpy as np
import matplotlib.pyplot as plt
import networkx as nx
def _num_to_str(num):
if type(num) == int:
return str(num)
elif type(num) == float:
return "{0:1.2f}".format(num)
else:
return str(num)
class BasePattern():
"""Step pattern base c... | true |
f5e66eed4b8c01dbe13baea813e308923f9f51ca | Python | Yhuang93/PyExercise | /TestandExercisePython/inner_outer_function.py | UTF-8 | 137 | 2.515625 | 3 | [] | no_license | def outerFunction(text):
text=text
def innerFunction():
print(text)
return innerFunction
outerFunction('text')
| true |
2ef24782c554f962651f10a80856f190564838dc | Python | argroch/python-exercises | /code_acad.py | UTF-8 | 1,439 | 3.921875 | 4 | [] | no_license | # Needed a place to work out Code Academy exercises, outside of their environment.
# def anti_vowel(text):
# result = ''
# vowels = ['a','e','i','o','u']
# for char in text:
# if char.lower() not in vowels:
# result += char
# return result
#
# print anti_vowel("Hey look Words!")
# def censor(text, w... | true |
4c58d434147da62b99d964fa92a19c7419904f72 | Python | Beondel/Retinopathy_Neural_Network_Grader | /data_wrangler.py | UTF-8 | 2,997 | 2.96875 | 3 | [] | no_license | import numpy as np
from PIL import Image
import os
from pathlib import Path
import pandas as pd
import xlrd as excel
# Ben MacMillan
# This class normalizes the retinal scan data for use in a convolutional neural network
class Data_Wrangler:
def __init__(self):
# initialize fields
self.training_fe... | true |
0e90413e65c7887148059ad379c9f3978ab20a30 | Python | MarryAnt/my_python | /cinema_price.py | UTF-8 | 6,314 | 3.171875 | 3 | [] | no_license | # cinema_price
film = input("Выберите фильм: ")
day = input("Выберите день(сегодня, завтра): ")
time = int(input("Выберите время: "))
num = int(input("Укажите количество билетов: "))
if film == "Пятница":
if day == "сегодня":
if time == 12:
if num < 20:
print("Заплатите ",250*num... | true |
230826e45e753168ad2b876c12a9bd2df3c77af3 | Python | ZazAndres/Talles-de-los-50-EJ | /punto26.py | UTF-8 | 717 | 4.21875 | 4 | [] | no_license | print("---Calcular la nota final---")
n1=float(input("Regaleme la primera nota: "))
n2=float(input("Regaleme la segunda nota: "))
n3=float(input("Regaleme la tercera nota: "))
n4=float(input("Regaleme la cuarta nota: "))
n5=float(input("Regaleme la quinta nota: "))
nfinal=((n1*15)/100)+((n2*20)/100)+((n3*15)/... | true |
37496cf8e70bf295a9c33cf60372cebdd5234963 | Python | kaviyarasujojo/kavi | /46.py | UTF-8 | 34 | 2.84375 | 3 | [] | no_license | n1=int(input())
n1=n1+1
print(n1)
| true |
563f6f5956f1b7c6cb2a3f525955c8f58e5da83c | Python | probablytom/bpi_13_python | /domain_model/document_emission.py | UTF-8 | 2,693 | 2.703125 | 3 | [
"MIT"
] | permissive | from utils import experimental_environment, manually_log
document_emission_active = True
def process_documents(produces=list(),
consumes=list()):
if 'existing documents' not in experimental_environment.keys():
experimental_environment['existing documents'] = dict()
def decorat... | true |
e0d768360b76c4ba3155b497badceabff6be1b4f | Python | jchen8tw-research/CTF | /REVERSE/picoCTF/quackme/quackme.py | UTF-8 | 585 | 2.6875 | 3 | [] | no_license | # coding=utf-8
pointer8048858=[0x29, 0x6, 0x16, 0x4F, 0x2B, 0x35, 0x30, 0x1E, 0x51, 0x1B, 0x5B, 0x14, 0x4B, 0x8, 0x5D, 0x2B, 0x56, 0x47, 0x57, 0x50, 0x16, 0x4D, 0x51, 0x51, 0x5D, 0x0]
greetingMessage_str='You have now entered the Duck Web, and '
greetingMessage=[]
for i in range(len(greetingMessage_str)):
greeti... | true |
8e94eef182ffe8f99930c482af1fe8480bfc9f33 | Python | vn09/cs7051 | /lab2/lab2_client.py | UTF-8 | 527 | 2.609375 | 3 | [] | no_license | import requests
import random
import socket
import string
PORT_NUMBER = 8080
HOST_DOMAIN = ""
if __name__ == "__main__":
sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
sock.connect((HOST_DOMAIN, PORT_NUMBER))
try:
random_string = ''.join(random.choice(string.digits + string.ascii_lowercase) for x ... | true |
2dc831338ac748e04eae2d901128d495c885fa4e | Python | tikzoxs/EyeKnowYouSSL | /file_size.py | UTF-8 | 327 | 2.625 | 3 | [] | no_license | import os
import cv2
folder = '/home/1TB/EyeKnowYouSSLData/p'
total = 0
for i in range(1,15):
data_folder = folder + str(i)
file_list = os.listdir(data_folder)
count = len(file_list)
total += count
image = cv2.imread(data_folder + '/' + '1.jpg')
print(image.shape)
print(data_folder,"___",count)
print("total = "... | true |
6301066e54e412c45e154869e39389b0ee469ebd | Python | mathjazz/scripts | /mozilla_l10n/searchplugins/yahoo_hardcode_params.py | UTF-8 | 3,246 | 2.515625 | 3 | [] | no_license | #! /usr/bin/env python
''' This script assumes that localizations are stored in a
structure like the following:
this_script
|__locales
|__locale_code
|__l10n-central
|__mozilla-aurora
|__mozilla-beta
I use this script to generate the full folder structure (all locales,... | true |
0b180ef09826c61a095db4ad3a5ce50f1db34ca9 | Python | Aasthaengg/IBMdataset | /Python_codes/p02811/s109187286.py | UTF-8 | 79 | 2.796875 | 3 | [] | no_license | k, y = [int(i) for i in input().split()]
print('Yes' if 500 * k >= y else 'No') | true |
b5116a32eb7b04e1ac502b954d7a581c199eaeee | Python | nicolevalentini/Overtime | /main.py | UTF-8 | 248 | 3.625 | 4 | [] | no_license | def overtime():
hourly_rate = pound
return hourly_rate
pound = int(input("Enter your hourly rate: "))
print("Your weekly hourly rate is: {}, your Saturday's rate is: {}, your Sunday's rate is: {}".format(pound, pound //2 + pound, pound*2))
| true |
53af249c0a4ff976118f9ac260a671006b502f9c | Python | hyejeong99/ROS | /c1-dqn/dqn/src/DQN_├╩▒Γ/xy2Dsimulator/map.py | UTF-8 | 1,486 | 2.8125 | 3 | [] | no_license | #!/usr/bin/env python
import cv2, pygame, yaml
from PIL import Image
import numpy as np
class map:
def __init__(self):
self.obstracle_x = []
self.obstracle_y = []
def map_read(self, jpg_path, yaml_path):
self.map_image = Image.open(jpg_path)
self.map = pygame.image.fromstring(... | true |
1c7bb88750b499a1252b00c9c493b95c50a48f2d | Python | dr937/unencoded-keyboards | /main.py | UTF-8 | 766 | 2.78125 | 3 | [] | no_license | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Apr 3 10:59:46 2021
@author: msthilaire
"""
from flask import Flask, render_template
from base64 import b64decode
# create an instance of Flask. (a "Flask process")
app = Flask(__name__, template_folder="src/html")
# tell the web server which func... | true |
f2e3918ca5dc85a2b2682da6cd5d34e443a8fee0 | Python | po5i/test__stackbuilders | /crawler/tests.py | UTF-8 | 1,467 | 3.078125 | 3 | [] | no_license | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.test import TestCase
from crawler.models import Crawl, Entry
class CrawlerTestCase(TestCase):
def test_01_first30(self):
"""
Get the first 30 entries
"""
crawl = Crawl.objects.create()
output = cra... | true |