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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
f136c002ca7bb3145d1905e2f647e3a724ea3750 | Python | JJ/phageParser | /acc_and_filter.py | UTF-8 | 1,687 | 2.71875 | 3 | [
"MIT"
] | permissive | #!/usr/bin/env python
"""Fetch GenBank entries for given accessions.
Adapted from https://www.biostars.org/p/66921/
USAGE:
cat <file> | python acc2gb.py <email> > <output>
or
python acc2gb.py <email> <file>
(this is easier for debugging)
where:
<file> is the name of a file containing accession numbers to downloa... | true |
88cf39f59ebefbefa15fef06856e6ba159008860 | Python | SergioPeterson/dsna | /binary-tree/__init__.py | UTF-8 | 3,049 | 3.421875 | 3 | [
"MIT"
] | permissive | import importlib
import sys
sys.path.append("./")
queue_list = importlib.import_module("queue-list")
class Node(object):
def __init__(self, value):
self.value = value
self.left = None
self.right = None
class BinaryTree(object):
def __init__(self, root, traversal_style="level_order"... | true |
ef850077b02d11226e9fed6be0b4647c2a7b3002 | Python | vitortomic/python-xlsx-compare | /compare.py | UTF-8 | 1,971 | 3.21875 | 3 | [] | no_license | import os
from openpyxl import load_workbook
from openpyxl.styles import PatternFill
header_row = 6
red_fill = PatternFill(start_color='FFFF0000',
end_color='FFFF0000',
fill_type='solid')
first_dir = list(filter(lambda filename: filename.endswith('.xlsx'), os.listdir('./first'))... | true |
a682644e7e09aadde4f8c48b1b12d9ba9ec03eaf | Python | xliu117/ISIC2018-Challenge | /PatchPreprocessing/data_preprocessing.py | UTF-8 | 1,793 | 2.546875 | 3 | [] | no_license | import os
import cv2
from utils import PaddingCrop
from tqdm import tqdm
def main():
image_path = '/scratch/group/xqian-group/ISIC2018/ISIC2018_Task1-2_Training_Input/'
mask_path = '/scratch/group/xqian-group/ISIC2018/ISIC2018_Task1_Training_GroundTruth/'
image_paddingcrop_path = '/scratch/group/xqian-... | true |
e0f105e565ae7dc0f6735e5030a1158ddbab24c3 | Python | sepidhk/EDA-WiDS_Datathon_2021 | /utils.py | UTF-8 | 8,603 | 2.8125 | 3 | [] | no_license | import math
import warnings
import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
from matplotlib.ticker import FuncFormatter
def bar_plot(df, x, xlabels, order, title='', fontsize='large', palette='PuBu_r',height=6, alpha=1):
df_aux = df[x].value_counts(normalize=True)
d... | true |
e99550b712df67a7be307ee2da5ce290db4a5ac3 | Python | suhasreddy/Data-Analysis-and-Testing | /analyze_tweets.py | UTF-8 | 3,553 | 3.171875 | 3 | [] | no_license | from textblob import TextBlob
import traceback
import sys
# IMPORTANT !
# Have ony the number of tweets in your tweets.csv file that you can classify at this moment. Like 30, 50 or 100
# Have new set of tweets each time in your tweets.csv
# Record accuracy displayed at the end also record the number of tweets.
# Your... | true |
6811b55f3805f76e9ad2a366755499478eee81a8 | Python | adhidharmawan/Python-Projects-Protek | /praktikum 6/praktikum 4 - no 1.py | UTF-8 | 85 | 2.890625 | 3 | [] | no_license | def jumlah(a, b):
print (hasil)
a = 10
b = 20
hasil = a + b
jumlah(a, b)
| true |
6040d02eeb817d8dce66c1dc393df2ce3ce42b9d | Python | hanu1234/Daily_Update | /TIMING_MODULE/utc_time_ex1.py | UTF-8 | 810 | 3.53125 | 4 | [] | no_license | import datetime
from time import sleep
utc_time = datetime.datetime.utcnow()
print(utc_time)
# Get UTC TIME After 15 Minutes
utc_time = utc_time + datetime.timedelta(minutes=10)
print(utc_time)
hours = utc_time.strftime("%H")
minutes = utc_time.strftime("%M")
print(hours, minutes)
utc_time = utc_time + datetime.timed... | true |
433039f3a1316a3a2536ba4b92dec86e29994a89 | Python | boblsturm/folkplagiarism | /ONeills_blogpost7.py | UTF-8 | 10,693 | 2.65625 | 3 | [] | no_license | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Mar 9 12:43:17 2020
This code contributed to the blog post:
https://highnoongmt.wordpress.com/2020/03/31/an-analysis-of-the-365-double-jigs-in-oneills-pt-7/
@author: bobs
"""
import numpy as np
import matplotlib.pyplot as plt
import textdistan... | true |
59c4876ef307c421d85d481d449a6ebecad19489 | Python | acdlee/Interview-Prep | /ctci/chapters/chpt3/3_1.py | UTF-8 | 535 | 3.75 | 4 | [] | no_license | # To implement three stacks with one array, we could have indexing
#such that we separate the array into three parts. We maintain
#a starting and ending index for each stack. The 'ending index' would
#be the location where we add and remove items from each stack.
#whenever the stacks are about to overlap, we would rea... | true |
890c186a5f0dc30423f2c23dd73ece31c14ee06b | Python | JoseJunior23/Iniciando-Python | /treinando_pythonLista1/ex 014.py | UTF-8 | 1,120 | 3.734375 | 4 | [] | no_license | '''
João Papo-de-Pescador, homem de bem, comprou um microcomputador para controlar o rendimento diário de seu trabalho.
Toda vez que ele traz um peso de peixes maior que o estabelecido pelo regulamento de pesca do estado de São Paulo (50 quilos) deve pagar uma multa de R$ 4,00 por quilo excedente.
João precisa que você... | true |
497ca7bae9a380d8f135bc96d13dad34ffcd19dd | Python | datacentricorg/datacentric | /py/src/datacentric/types/time/local_minute.py | UTF-8 | 1,292 | 3.453125 | 3 | [
"Apache-2.0"
] | permissive | from __future__ import annotations
import datetime as dt
class LocalMinute:
def __init__(self, hour: int, minute: int):
hour: int
minute: int
if hour < 0 or hour > 23:
raise AttributeError(f'Hour {hour} is not between 0 and 23.')
if minute < 0 or minute > 59:
... | true |
241722dfcd643479f0983c5e9f06594158c70ea2 | Python | milindgaikwad13/AWS-BigData | /PythonBootcamp/Lessons/13_Advanced_Python_Modules/Collections/namedTupleCol.py | UTF-8 | 166 | 3.15625 | 3 | [] | no_license |
from collections import namedtuple
t= (1,2,4,4)
print(t)
dog =namedtuple('Dog','age breed name')
sam = dog(age=2,breed='gratedane', name='scooby')
sam.breed
| true |
44ace368d0914582a2b2ad757418c53a372d19fc | Python | murilobsd/cartaohelija | /cartao/utils.py | UTF-8 | 248 | 3.078125 | 3 | [
"BSD-3-Clause"
] | permissive | # coding=utf-8
import os
def check_folder(folder):
""" checa se a pasta existe caso contrario cria """
if os.path.exists(folder) and os.path.isdir(folder):
return folder
else:
os.makedir(folder)
return folder
| true |
ba8f1c003a75e30d53b3090a31d2568eba4739b7 | Python | AnitaGrimm/python | /homework 1/4.py | UTF-8 | 862 | 3.390625 | 3 | [] | no_license | import math, cmath
a = int(input("a = "))
b = int(input("b = "))
c = int(input("c = "))
if a==0:
print("a=0 => уравнение не является квадратным...\nРешение линейного уравнения:")
if b==0:
print("решений нет")
else:
if c==0:
print("x=0")
else:
x=-c/b
... | true |
72a8fc57de6f33d47ee4b6853de035703713959b | Python | qoin-open-source/samen-doen-cc3 | /cc3/accounts/templatetags/map_tags.py | UTF-8 | 3,358 | 2.703125 | 3 | [] | no_license | from django import template
from django.utils.http import urlencode
register = template.Library()
def var(variable, ctx):
if variable:
try:
return template.Variable(variable).resolve(ctx)
except template.VariableDoesNotExist:
return None
else:
return None
def... | true |
8e98e6d1171b0712171b434e2b8b2df62e460f59 | Python | Shashankramesh28/heatmap-generator-for-air-pollution | /waqi_schema_helper.py | UTF-8 | 4,730 | 2.5625 | 3 | [] | no_license | from shared_utils import *
class WaqiSchemaHelper:
@staticmethod
def parse_waqi_json_packet_to_csv_row(packet):
if not packet.get('data'):
return None
data = packet['data']
if not type(data) is dict:
return None
# general info
aqi = ''
... | true |
9a372a69b1a03ba92a8042485940fe6ef3742994 | Python | Yobretaw/AlgorithmProblems | /EPI/Python/Searching/12_16_find_element_that_appears_only_once.py | UTF-8 | 1,238 | 3.6875 | 4 | [] | no_license | import sys
import os
import math
import random
"""
Given an integer array, in which each entry but one appears in triplicate,
with the remaining element appearing once, find the element appearing once.
For example, if the array is [2, 4, 2, 5, 2, 5, 5], you should return 4
"""
def find_element_appear_once(... | true |
a0881c92a84937a0fdd48525f8d6c99d23a2f8b7 | Python | frongk/sa-air | /weather_station_grid.py | UTF-8 | 1,537 | 2.5625 | 3 | [
"MIT"
] | permissive | # extract unique weather station coordinates by Site ID
# these will be loaded into triangulation mapping script
# *triangulate_dict.py* which will be used to ultimately
# interpolate values for where the stations are
import pandas
import plotly
import plotly.graph_objs as go
from SECRETS import mapbox_token
DATA_F... | true |
783876b222126f5fcd27eb98fecf437a64b67067 | Python | yuly3/atcoder | /ABC/ABC136/C.py | UTF-8 | 455 | 3.4375 | 3 | [] | no_license | n = int(input())
numbers = list(map(int, input().split()))
def checkCondition():
for i in range(n-1):
if numbers[i] > numbers[i+1]:
if numbers[i] - numbers[i+1] > 1:
return False
for i in range(-1, -n, -1):
sub = numbers[i-1] - numbers[i]
if sub == 1:
numbers[i-1] -= 1
elif sub ... | true |
a7bd922b9ce8a3ee1cce4c5ef0c70dde7cbc5e66 | Python | Cmheidelberg/wcm | /src/wcm/_makeyaml.py | UTF-8 | 3,880 | 2.578125 | 3 | [
"Apache-2.0"
] | permissive | import logging
import json
import wings
import os
import click
import yaml
from wcm import _schema, _utils
from contextlib import contextmanager
logger = logging.getLogger()
schemaDefinitions = _schema.get_schema()["definitions"]
error_log = ""
def make_yaml(download_path=None):
# sets path, this determines whe... | true |
c11d6ed94bead1b943fa84d521553f52718caa9e | Python | fagan2888/pyina | /pyina/__main__.py | UTF-8 | 4,115 | 2.609375 | 3 | [
"BSD-3-Clause"
] | permissive | #!/usr/bin/env python
#
# Author: Mike McKerns (mmckerns @caltech and @uqfoundation)
# Copyright (c) 1997-2016 California Institute of Technology.
# Copyright (c) 2016-2020 The Uncertainty Quantification Foundation.
# License: 3-clause BSD. The full license text is available at:
# - https://github.com/uqfoundation/py... | true |
c4cf9117d7ee122a3e598f74108837110363d1ac | Python | AdamZhouSE/pythonHomework | /Code/CodeRecords/2944/60688/260351.py | UTF-8 | 402 | 3.453125 | 3 | [] | no_license | stringrow = list(input());
stackf = [];
result=True;
for i in range(len(stringrow)):
if stringrow[i] == "(":
stackf.append("(");
continue
elif stringrow[i]==")":
if len(stackf)!=0:
stackf.pop();
continue;
else:
result=False
break
... | true |
bae4ce5c59d2d9c0d9d2d6bb6b6b6196313f7d85 | Python | jmarin/hmda-fan | /hmda_fips_process/hmda_county.py | UTF-8 | 2,467 | 2.578125 | 3 | [
"CC0-1.0"
] | permissive | #mike byrne
#consumer finance protection bureau
#may 2014
#update the state field on a hmda public data row
#processing step towards geospatial analysis
import os
import string
import psycopg2
import time
import datetime
from datetime import date
import json
now = time.localtime(time.time())
print " start time: ... | true |
54ff0d688be9f2fb29f2648020fcaddd74f54f6e | Python | shrutiyer/warmup_project_2017 | /warmup/src/person_following.py | UTF-8 | 5,839 | 2.578125 | 3 | [] | no_license | #!/usr/bin/env python
# IMPORTS ======================================================================
import math
import rospy
from geometry_msgs.msg import Twist
from sensor_msgs.msg import LaserScan
from visualization_msgs.msg import Marker
from neato_node.msg import Bump
# CLASSES =============================... | true |
521b76dfee8cb6a66a4d8719c4752a4dc8554853 | Python | aishwaryasarath/Coursera | /1_py_intro/tuple-filenames.py | UTF-8 | 476 | 3 | 3 | [] | no_license |
filenames = ["program.c", "stdio.hpp", "sample.hpp", "a.out", "math.hpp", "hpp.out"]
result = []
for filename in filenames:
if filename.endswith(".hpp"):
result.append("({}, {})".format(filename, filename[:-2]))
else:
result.append("({}, {})".format(filename, filename))
print(result) # Shoul... | true |
170a1f346984f09b2565219091b651f995ddf4b8 | Python | GHshangmu/Python_case | /python_code/plane_war_v2.0/shump_1/lesson_1.py | UTF-8 | 782 | 3.296875 | 3 | [] | no_license | import pygame
from pygame.locals import *
# 定义屏幕宽、高
WIDTH = 480
HEIGHT = 600
# 初始化
pygame.init()
# 创建屏幕
screen = pygame.display.set_mode((WIDTH, HEIGHT))
# 创建Surface
surf_plane = pygame.Surface((50, 50))
# 设置surf_plane的背景颜色
surf_plane.fill((0, 255, 0))
running = True
while running:
for event in pygame.event.g... | true |
1980cb6be50a2d5f3268b65e71b60de1534655eb | Python | fuleying/cvbase | /cvbase/tests/test_visualize.py | UTF-8 | 585 | 2.640625 | 3 | [] | no_license | from os import path
from cvbase import draw_bboxes, read_labels
def test_read_labels():
label_names = ['a', 'b', 'c']
assert read_labels(label_names) == label_names
voc_labels = [
'aeroplane', 'bicycle', 'bird', 'boat', 'bottle', 'bus', 'car', 'cat',
'chair', 'cow', 'diningtable', 'dog', '... | true |
ae69b184de618a716d77c6a9e95513a10b6b0c4d | Python | mswedrowski/WZSI_NIM | /logic/Board/Board.py | UTF-8 | 620 | 3.578125 | 4 | [
"MIT"
] | permissive | from .Row import Row
class Board:
def __init__(self, num_of_rows):
self.rows = [Row(num_of_matches) for num_of_matches in range(1, num_of_rows+1)]
def display_board(self):
for index, row in enumerate(self.rows):
print("RowNum:" + str(index) + " " + row.get_row_as_string())
de... | true |
79eb5f5356430c8b2fb19a9db5119b08547d6668 | Python | brightyoun/Complement-Cross-Entropy | /loader.py | UTF-8 | 5,992 | 2.65625 | 3 | [] | no_license | import os
import torch
from torchvision import datasets
import torchvision.transforms as transforms
class Loader:
@staticmethod
def __get_transform(image_height, image_width,
data_augmentation=False, mean=None, std=None, for_normalize=False):
# for train
if data_augment... | true |
783b3b5c950921694e6ae20f12368ed887fb9f5d | Python | DaltonBorges/Curso-de-Python | /pythonDesafios/des073.py | UTF-8 | 1,224 | 4.1875 | 4 | [] | no_license | # Crie uma tupla com os 20 primeiros colocados da Tabela do Campeonato Brasileiro de Futebol, na ordem de colocação. Depois mostre:
#* A) Apenas os 5 primeiros colocados.
#* B) Os últimos 4 colocados da tabela.
#* C) Uma lista com os times em ordem alfabética.
#* D) Em que posição na tabela está o time da Chapecoense.
... | true |
8f744581dc67a8616cc91beaa61080c69bd6f406 | Python | Giangblackk/hanoi_road_map_analysis | /vietnam-highway/from_vn_highway_to_graph.py | UTF-8 | 6,759 | 2.5625 | 3 | [
"Apache-2.0"
] | permissive | # -*- coding: utf-8 -*-
"""
Spyder Editor
This is a temporary script file.
"""
from osgeo import ogr, osr
import networkx as nx
import numpy as np
#calculate length of StringLine
def calculateGeometryLength(pointList, sourceSRS, destSRS):
line = ogr.Geometry(ogr.wkbLineString)
transform = osr.CoordinateTrans... | true |
57c08ba7c888b9d4feba9d75ffbd3c116ffb4059 | Python | nashid/GNNSurvey | /Implementation Codes/Program Synthesis/AutoPandas/autopandas_v2/generators/dsl/values.py | UTF-8 | 2,216 | 2.53125 | 3 | [
"BSD-3-Clause"
] | permissive | from typing import Any
from autopandas_v2.iospecs import SearchSpec
class Value:
def __init__(self, val: Any):
self.val = val
class Default(Value):
def __eq__(self, o: object) -> bool:
try:
if not isinstance(o, Value):
return self.val == o
if isinsta... | true |
61915f9da33d59726ef286be2faa63cb244a2d2d | Python | terrifyzhao/educative | /2_two_pointers/1_pair_with_targetsum.py | UTF-8 | 1,239 | 4 | 4 | [] | no_license | # 给定一个排好序数组，找到相加等于sum的数的下标
def pair_with_targetsum(arr, target_sum):
arr_len = len(arr)
start = 0
end = arr_len - 1
while start < end:
if arr[start] + arr[end] > target_sum:
end -= 1
elif arr[start] + arr[end] < target_sum:
start += 1
elif arr[start] + a... | true |
dafbb0bcdbf79b194c403c2076d5be951f94667c | Python | leonardocouy/analysis_nosql | /sentimentanalysis.py | UTF-8 | 1,691 | 2.546875 | 3 | [] | no_license | import re
import tweepy
from pymongo import MongoClient
from textblob import TextBlob
from decouple import config
from tweepy import Stream
from tweepy import StreamListener
from tweepy.streaming import json
CONSUMER_KEY = config('CONSUMER_KEY')
CONSUMER_SECRET = config('CONSUMER_SECRET')
ACCESS_TOKEN = config('ACCESS... | true |
be9bd6cdbaff0aa11ca61d4c977b6c5239cd0ea9 | Python | joongchan1/Refactoring__pycon-kr-2018 | /src/tdd/test_main.py | UTF-8 | 668 | 3.3125 | 3 | [] | no_license | import unittest
from main import calc
class TestTdd(unittest.TestCase):
def test_calc(self):
given = (1, 2, 3, 4, 5)
target = calc(given)
expected = 15
self.assertEqual(target, expected)
def test_calc_with_various_odd(self):
given = (1, 3, 5, 6, 7)
target = ca... | true |
0e3398cdb8c807ca926ae0925d86c842651cb11d | Python | cheers32/tradepartner | /test/DataProvider.py | UTF-8 | 725 | 2.890625 | 3 | [] | no_license | import datetime
from enum import Enum
from alpha_vantage.timeseries import TimeSeries
API_URL = "https://www.alphavantage.co/query?"
API_KEY = "4BYXFB9D3TYUYNN5"
class ApiFunc(Enum):
daily = 1
dailyAdjusted = 2
intraday = 3
def getStock(symbol, apiFunc, outputSize="compact"):
ts = TimeSeries(key=AP... | true |
638b48bce307815ec04c770d81c5f1093f4d7a5b | Python | brianchiang-tw/CodingInterviews | /10-1_Fibonacci Series/by_iteration.py | UTF-8 | 1,099 | 3.6875 | 4 | [
"MIT"
] | permissive | class Solution:
def fib(self, n: int) -> int:
if n <= 1:
return n
f_n_2, f_n_1 = 0, 1
f_n = -1
for i in range(2, n+1):
# compute f(n) = f(n-2) + f(n-1)
f_n = f_n_2 + f_n_1
# update f(n-2) and f(n-1) as f(n-1... | true |
27cfb44f5a0daa34cb0c15beae81406191f01a21 | Python | matheuscburger/DengueAnalysis | /src/microarrayAnalysis/enrichr.py | UTF-8 | 2,393 | 2.609375 | 3 | [] | no_license | #!/usr/bin/env python3
# vim:fileencoding=utf8
"""Enrichr
Usage:
enrichr.py --input=<file> --output=<file> (--gs=<geneset>...)
enrichr.py (-h | --help)
enrichr.py --version
Options:
-h --help Show this screen.
--version Show version.
--output=<file> output file
... | true |
66ef42f5d6416170c63b9bbe2a25e0980ad4e013 | Python | paulseghers/fractalmethods | /code/timing_bc.py | UTF-8 | 1,567 | 2.734375 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Sat Apr 11 22:42:14 2020
@author: Zpaffled
"""
from dim import bcnt
from fracgen import sierpinsky
from time import time
import numpy as np
import matplotlib.pyplot as ptl
def intersect(seg,x,y):
# in sierpinsk x1!=x2
(x1,y1),(x2,y2) = seg
if min... | true |
84058d02def96301affc42b8196f5cfc60a0f653 | Python | princepurohit153/A-byte-of-python | /operators.py | UTF-8 | 570 | 3.859375 | 4 | [] | no_license |
'''
This program demonstrates simple operators and related concepts
@author - Nitinkumar Gove
@Verstion - V1.0 / 23 Oct 2016
'''
__version__ = 1.0
st = 'no '
# + operator
x = 10
y = 20
print 'sum:',x + y
print 'first and ' + 'second'
# if no first operand is provided to - operator, it is 0 by default
b = 50
print... | true |
3da5ffd37599c977f0ba0d09237bc0bbd853af75 | Python | CiesliixW/Codecool_W1D2 | /list_min_etc_MT.py | UTF-8 | 2,134 | 4.125 | 4 | [] | no_license | # # # # # # # # # # # # # # #
# :) #
# # # # # # # # # # # # # # #
list_to_find_min = [9,6,7,4,9,1,6,7,8]
list_to_find_min_2 = [12,6,7,4,9,1,-6,7,8,1,6,0,2,5,3]
def my_min(my_list):
current_min = my_list[0]
for elem in my_list:
if elem < current_min:
current_min = e... | true |
fe4f276e8db18c34b4f1450a3fc033cfc994005e | Python | Rajagopalan-Ranganathan/IOT-Gateway | /app/camera.py | UTF-8 | 248 | 2.765625 | 3 | [] | no_license | import json
class Camera():
def __init__(self, ipaddress, name, id):
self.ipaddress = ipaddress
self.name = name
self.id = id
def __str__(self):
return self.id + ":" + self.ipaddres + ":" + self.name
| true |
ef886c449b4b9cc81d31851acc80d2697a3a06c4 | Python | nickstellato/draw_shapes | /draw_shapes.py | UTF-8 | 625 | 3.875 | 4 | [
"MIT"
] | permissive | import turtle
def draw_shapes():
window = turtle.Screen()
window.bgcolor("red")
brad = turtle.Turtle()
brad.shape("arrow")
brad.color("white")
brad.speed(6)
i = 0
while (i < 4):
brad.forward(100)
brad.right(90)
i += 1
angie = turtle.Turtle()
angie.shap... | true |
bced32c5e761d91a289b77abea87fa86ab53ebaf | Python | jeffwen/Kaggle | /Whats Cooking/cooking.py | UTF-8 | 12,289 | 2.640625 | 3 | [] | no_license | path = '/Users/Jeffwen/Documents/Python/kaggle/Whats Cooking'
import json
import xgboost as xgb
import pandas as pd
import re
import numpy as np
import scipy
from nltk.corpus import wordnet as wn
from nltk.tag import pos_tag
from progressbar import ProgressBar
from sklearn.feature_extraction.text import TfidfVectorize... | true |
1ef5fcc6e466c421c8942139fbd7e4543f15a672 | Python | rmcommand/movie-trailer-website | /movie/entertainment_center.py | UTF-8 | 4,161 | 2.90625 | 3 | [] | no_license | __author__ = 'rm00'
import fresh_tomatoes
import rmedia
#Movie title, storyline, poster and youtube file information that is exported to the webpage
the_matrix = rmedia.Movie("The Matrix", ("Depicts a dystopian future in which reality perceived by humans is in the Matrix"),
"http://ia.me... | true |
a63cffe1eb94b9427268c4599beebe67701d79b9 | Python | christopherdavideh/curso-profesional-python | /numero_primo.py | UTF-8 | 645 | 3.75 | 4 | [] | no_license | def es_primo(n: int) -> bool:
if n < 2:
return False
else:
divisors = [i for i in range(2, n) if n % i == 0]
return len(divisors) == 0
def run():
print(f'El número 3 es primo: {es_primo(3)}')
print(f'El número 4 es primo: {es_primo(4)}')
print(f'El número 5 es primo: {es_primo(5)}')
print(f'El... | true |
8c37d6449787de47e6b1540284f729b3aaf93ba2 | Python | Joostluijben/Python_programming | /Les4/pere_3.41.py | UTF-8 | 171 | 3.109375 | 3 | [] | no_license | def hit(xC, yC, radC, xP, yP):
if (xC+radC >= xP or xP <= xC+radC )and (yC+radC>=yP or yP <=yC+radC):
print(True)
else:
print(False)
hit(0,0,5,5,5) | true |
a2eb594d7377318753b9c792ca9e0d553ae8ed4c | Python | DeMarcoHeath/avito_grabber | /web_page_grabber.py | UTF-8 | 8,249 | 2.625 | 3 | [] | no_license | # -*- coding: utf-8 -*-
from bs4 import BeautifulSoup
import requests
import urllib
import json
from datetime import *
from db_provider import *
import response_fields as rf
import merger
URL = 'https://www.avito.ru/sankt-peterburg/kvartiry/sdam/na_dlitelnyy_srok?pmax=23000&pmin=0'
DEBUG = False
URL_WITH_PAGE = '/san... | true |
7a5b69a709abbc394dfd7db67e1b9b1c876aba26 | Python | miclaraia/swap-2 | /swap/utils/collection.py | UTF-8 | 1,447 | 3.265625 | 3 | [] | no_license |
class Collection:
def __init__(self, config, items=None):
self.config = config
if items is None:
items = {}
if type(items) is list:
items = {item.id: item for item in items}
self.items = items
def add(self, item):
self.items[item.id] = item
... | true |
bb89ffb602ce750386a53f73befae30acc40e758 | Python | Alancow/AE402_Alanco | /human.py | UTF-8 | 877 | 3.625 | 4 | [] | no_license | class Human():
def __init__(self,name,weight,height):
self.name = name
self.weight = weight
self.height = height
def bmi(self):
return self.weight/((self.height/100)**2)
class Woman(Human):
def __init__(self, name,weight,height,bust,waist,hip):
su... | true |
b326e59dab57bf8debb623b8891dc864d0fb3008 | Python | Alanwong2000321/py | /算法/岛屿数量.py | UTF-8 | 10,348 | 3.65625 | 4 | [] | no_license | class Solution:
def numIslands(self, grid: List[List[str]]) -> int:
def sink(i, j):
if 0 <= i < len(grid) and 0 <= j < len(grid[i]) and int(grid[i][j]):
grid[i][j] = '0'
for i, j in zip((i, i+1, i, i-1), (j+1, j, j-1, j)): sink(i, j)
return 1
... | true |
3e10c6f2eb309a6c9e0b5a0ac6e4e654f922e9a1 | Python | mkrdiop/scriptPY | /getDeputy.py | UTF-8 | 1,831 | 2.75 | 3 | [] | no_license | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Jun 18 16:15:28 2019
@author: makhtardiop
"""
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
import pandas as pd
import time
data = pd.read_csv('liste-deputes.csv')
rich_data = pd.DataFrame(index=range(0,1800), columns ... | true |
a469f25453e6ce8cc7b4574e89659b2516490136 | Python | jaymit31/Mathematics-for-Machine-Learning | /Course 3: PCA/week1/Mean Covariance of a data set and effect of a linear transformation.py | UTF-8 | 10,624 | 3.84375 | 4 | [] | no_license | Mean/Covariance of a data set and effect of a linear transformation
We are going to investigate how the mean and (co)variance of a dataset changes when we apply affine transformation to the dataset.
Learning objectives
Get Farmiliar with basic programming using Python and Numpy/Scipy.
Learn to appreciate implemen... | true |
67985b15c117d7455493c75f963cd449f95e7cff | Python | dr-dos-ok/Code_Jam_Webscraper | /solutions_python/Problem_117/1507.py | UTF-8 | 1,274 | 3.15625 | 3 | [] | no_license | #!/usr/bin/env python
import sys
class Lawn:
n = 0
m = 0
field = []
def __init__(self, n, m, data):
self.n = n
self.m = m
self.field = [[0 for j in range(self.m)] for i in range(self.n)]
for i in range(self.n):
for j in range(self.m):
self.fie... | true |
7bc6ffa4aa73a637a4a23babb730ee44b8183084 | Python | ayushaggar/fraud_transaction_detection | /analyse.py | UTF-8 | 14,176 | 2.5625 | 3 | [] | no_license | # Load libraries
import psycopg2 as pg
import pandas as pd
import matplotlib.pyplot as plt
import datetime
import numpy as np
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler, OneHotEncoder
from sklearn.compose import make_column_transformer
from sklearn.impute impor... | true |
ac9924a62d79a8b0fab46da1746a882c23fa18af | Python | nrai/hiver-interview | /hiver/hiver/apps/base/middlewares/request.py | UTF-8 | 608 | 2.71875 | 3 | [] | no_license | # coding=utf-8
"""
Response Middleware
"""
import json
import logging
from django.http import HttpResponse
logger = logging.getLogger(__name__)
class RequestMiddleWare(object):
"""
Request Middleware Class
"""
def __init__(self, get_response):
self.get_response = get_response
def __cal... | true |
8c521d579ada899205c1ab12bb29a9e0107550b0 | Python | Feenix33/PyGameG | /Wang/create.py | UTF-8 | 4,654 | 3.234375 | 3 | [] | no_license | """
create.py
Create the basic 2-edge tileset
"""
import random
def create2edge(tiledb, tile2db, ndb, wdb, sdb, edb):
# build the nwse set by counting to 16
for n in range(16):
ndb[n%2].append(n)
wdb[(n//2)%2].append(n)
sdb[(n//4)%2].append(n)
edb[(n//8)%2].append(n)
ti... | true |
56acc3a8f59ca060718265f82f437570f379ad41 | Python | Raj2503/Open-CV-classes | /chapter6.py | UTF-8 | 2,132 | 3.25 | 3 | [] | no_license | # JOINING IMAGES
import cv2
import numpy as np
def stackImages(scale,imgArray):
rows = len(imgArray)
cols = len(imgArray[0])
rowsAvailable = isinstance(imgArray[0], list)
width = imgArray[0][0].shape[1]
height = imgArray[0][0].shape[0]
if rowsAvailable:
for x in range ( 0, ro... | true |
1873df5e3f5157c1d7489e817c3ac4a80273f1f2 | Python | smielqf/DQN_CartPole | /main.py | UTF-8 | 12,531 | 2.578125 | 3 | [] | no_license | import torch
import torch.nn as nn
import torch.nn.functional as F
import gym
import numpy as np
import random
import matplotlib.pyplot as plt
import time
from collections import namedtuple
random.seed(0)
np.random.seed(0)
torch.manual_seed(0)
Transition = namedtuple('Transition', 'state, action, next_state, reward')... | true |
5bd7be6493b8b1322e2e8ad570399f928bed2c34 | Python | modengdai/learning_notes | /fact_digui.py | UTF-8 | 109 | 2.84375 | 3 | [] | no_license | def jiecheng(n):
a=n*jiecheng(n-1)
return a
n=eval(input())
while n>0:
jiecheng(n)
print(a)
| true |
541e9cedcd8a69b4c222bea20cf45e122d162531 | Python | xiangzaizi/Knowledge | /base_knowledge/3.ajax_request.py | UTF-8 | 823 | 2.671875 | 3 | [
"MIT"
] | permissive | #!/usr/bin/env python
# -*- coding:utf-8 -*-
import urllib
import urllib2
def send_request():
# 发送请求的url是通过抓包找到的
base_url = "https://movie.douban.com/j/chart/top_list?"
# 查询字符串参数，也是通过抓包找到的
query_data = {"type" : "24",
"interval_id" : "100:90",
"action" : "",
"start" : "0",
... | true |
3e0cbbfe917fa357c4a3e51d0fce1e318efbb4fc | Python | 13leaf/exercises | /leetcode/python/easy/path_sum.py | UTF-8 | 758 | 3.09375 | 3 | [] | no_license | from __init__ import *
#path sum
#https://leetcode.com/problems/path-sum/
class Solution:
def _hasPathSum(self,node,sum,expect):
sum = sum + node.val
if node.left is None and node.right is None:
return sum == expect
if node.left is not None and node.right is not None:
... | true |
2c285bf1f41921649e4df63585eda2a54665cf8d | Python | ushanemani/AWS-Services-Python-Automation | /python-scripts/create_glue_crawlers.py | UTF-8 | 1,655 | 2.65625 | 3 | [] | no_license | import json
import sys
import boto3
env_name = sys.argv[1]
aws_account_no = sys.argv[2]
file_name='jsons/glue_create_crawlers_input.json'
print("Creating Crawlers...")
crawler_role_arn = 'arn:aws:iam::'+ aws_account_no +':role/AWSGlueServiceRole-' + env_name
client = boto3.client('glue')
def call_glue_create_crawler(... | true |
56aaae72aee6f262736fab5efa81a5ac64214f65 | Python | fedorajzf/opveclib | /opveclib/test/test_unary_math.py | UTF-8 | 6,007 | 2.6875 | 3 | [
"Apache-2.0"
] | permissive | # Copyright 2016 Hewlett Packard Enterprise Development LP
#
# 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 ... | true |
dc8020a661beb4204dccf80900cc0f183ae5efe1 | Python | SHIBILAHAMED/python-practice | /exp3.py | UTF-8 | 410 | 3.984375 | 4 | [] | no_license | print ('I will now count my chickens:')
print ('Hens',25+ 30 /6)
print ('Roosters', 100-25 *3%4)
print ('Now I will count the eggs:')
print (3+2+1-5+4%2-1/4+6)
print('Is it true 3+2 < 5-7?')
print (3+2< 5-7)
print ('what is 3+2?', 3+2)
print ('what is 5-7?',5-7)
print ("oh,that's why it's False")
print (" is it great... | true |
32b753ce847ec8825bd8dba2adb3096372f0fd9f | Python | maoto1201/CRL_gamedata | /crl_playerdata.py | UTF-8 | 21,477 | 2.625 | 3 | [] | no_license | #df_CRLdataファイルの読み込み
import pandas as pd
df_CRLdata = pd.read_csv('CRLdata_goo.csv', encoding='utf-8',index_col=0)
#DeckNameのバグ修正、ただし、セット数ごとの条件分岐（2v2は2人のデッキを足す）はできてない。
def DNcheck(x):
if "three-musketeers" in x:
return "三銃士"
elif ("golem" in x) and ("ice-golem" not in x):
retur... | true |
95f438c37650d8d1d7af4d1c91bffeef890cd25f | Python | Anil314/HackerEarth-Solutions | /Basics of Input-Output/Life, the Universe, and Everything.py | UTF-8 | 471 | 3.703125 | 4 | [] | no_license | '''
Your program is to use the brute-force approach in order to find the Answer
to Life, the Universe, and Everything. More precisely... rewrite small numbers
from input to output. Stop processing input after reading in the number 42.
All numbers at input are integers of one or two digits.
SAMPLE INPUT
1
2
88
42
9... | true |
1d647a1db43e1fca3bdb89b4888b0fadf9669134 | Python | Snazzythat/ECSE420_Lab2 | /grid_4_4.py | UTF-8 | 28,903 | 3 | 3 | [] | no_license | #ECSE420
#LAB2
#ANDONI ROMAN
#EXTRA PYTHON IMPLEMENTATION OF 4x4 GRID
#PYTHONIC DRUM 5.0
from mpi4py import MPI
import numpy as np
import sys
#GLOBALS
GRID_SIZE = 4
SIZE = GRID_SIZE * GRID_SIZE
#Node dictionary containing (i,j) of node as key and [t2,t1,t] as time values for each node
node_dict = {}
size = 0
rank =... | true |
26f3409d10eb119fd937d7d6a1de80e848370c44 | Python | ajayau404/testRepo | /test2.py | UTF-8 | 286 | 2.765625 | 3 | [] | no_license | #!/usr/bin/env python
import sys, os, time, json
def main():
numElem = 3
elemStr = "1 0 0"
elemList = elemStr.split(" ")
val = 0
count = 0
for eachElem in elemList[::-1]:
val += (int(eachElem) ^ 1) * pow(2, count)
count +=1
print val
if __name__ == "__main__":
main() | true |
199e814a05d6e0c8a4171a4f8c48f36e486acb8a | Python | aoishiki/face | /main.py | UTF-8 | 877 | 2.84375 | 3 | [] | no_license | import cv2
color_red = (0, 0, 225) #枠の色
windowName = "face test"
if __name__ == '__main__':
# window
cv2.namedWindow(windowName)
# webcamera
cap = cv2.VideoCapture(0)
# 分類器の指定
cascadeFile = "data\haarcascade_frontalface_default.xml"
cascade = cv2.CascadeClassifier(cascadeFile)
while (True):
# frameに映像,retに... | true |
88e1c12ae572a3e74d26241a0df65e8c3cb41451 | Python | saulshanabrook/CrossHair | /crosshair/enforce_test.py | UTF-8 | 1,794 | 3.015625 | 3 | [
"MIT"
] | permissive | import unittest
from crosshair.enforce import *
def foo(x: int) -> int:
'''
pre: 0 <= x <= 100
post: _ > x
'''
return x * 2
class Pokeable:
'''
inv: self.x >= 0
'''
x: int = 1
def poke(self) -> None:
self.x += 1
def pokeby(self, amount: int) -> None:
''... | true |
ca6437224adfcb393dacc551b849924289e8a492 | Python | rapsealk/f1tenth_gym | /gym/f110_gym/unittest/pyglet_test_camera.py | UTF-8 | 3,754 | 2.96875 | 3 | [
"MIT"
] | permissive | import pyglet
from pyglet.gl import *
# Zooming constants
ZOOM_IN_FACTOR = 1.2
ZOOM_OUT_FACTOR = 1/ZOOM_IN_FACTOR
class App(pyglet.window.Window):
def __init__(self, width, height, *args, **kwargs):
conf = Config(sample_buffers=1,
samples=4,
depth_size=16,
... | true |
90de9121c68f7e6f2041eeb968986dd2b88bc4e7 | Python | yunse2633s/blogsSj | /python_demo/201904/face/face002.py | UTF-8 | 2,097 | 2.609375 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""
Created on Thu Apr 11 14:02:25 2019
@author: admin
环境：
python v3.7.1
opencv v4.0
tensorflow v1.13.1
numpy v1.16.2
作用：
人脸、人眼数量
人头数量不行;
完成度90%
"""
import cv2
import numpy as np
OPENCV_PATH = r"d:/Program Files (x86)/python/Lib/site-packages/cv2/data"
#face_cas... | true |
b5d88c32fbba84997b312fcaa2beb7fa309458ce | Python | gf0842wf/gevent-server-sample | /wserver.py | UTF-8 | 1,355 | 2.625 | 3 | [] | no_license | # -*- coding: utf-8 -*-
"""WSGI Server Sample"""
import gevent
from gevent import socket
from gevent.pywsgi import WSGIServer
import tornado.web
import tornado.wsgi
from gmysql import Pool
class MainHandler(tornado.web.RequestHandler):
def get(self):
rows = self.application.pool.fetchall("select ... | true |
2f0e82f35221b608baa5f636e50cf9b4b610145f | Python | Mrsteveson/Review | /coaching_sessions/super_digits/super_digits.py | UTF-8 | 1,385 | 3.78125 | 4 | [
"MIT"
] | permissive | # sum the digits of an int in string form
# return an int
def sum_digits(p):
l = []
l[:0] = p
return reduce(lambda x, y: int(x) + int(y), l)
def superDigit(n, k):
# check the length of the string
# then check for the terminating case
# after the first recursive call, do we still need k?
# construct... | true |
54449e77cc9b45de64b848b21f4ad0bdafd6dfea | Python | Anjalidubey01/BDA-tasks | /Task4_PCA for dimension reduction.py | UTF-8 | 11,298 | 2.71875 | 3 | [] | no_license | #!/usr/bin/env python
# coding: utf-8
# In[138]:
from sklearn.naive_bayes import GaussianNB
from sklearn.svm import SVC
from sklearn.linear_model import LinearRegression
from sklearn.linear_model import LogisticRegression
from sklearn.metrics import confusion_matrix,classification_report
# In[139]:
import numpy ... | true |
97649f6cda6274dd8eaa9f4d641a4da6203f89d2 | Python | hugaba/scraping_social_meteo | /reddit.py | UTF-8 | 911 | 2.71875 | 3 | [] | no_license | from datetime import datetime, timedelta
import praw
import pandas as pd
# loading of reddit account
reddit = praw.Reddit(client_id='S-Wlacq0w975Lg', client_secret='3z1RIPVHCNRt11_U2c2h6aQ1DCC7qw', user_agent= 'reddit webscriping')
# initialize posts list
posts = []
# get informations from AustinFC subreddit
for pos... | true |
eca80617c20222f608aa7d9559dffc9ec49f41d3 | Python | Chunlinx/Onto_Topic_Labeling | /tool/dep_graph_parser.py | UTF-8 | 2,656 | 2.640625 | 3 | [] | no_license | # -*- coding: utf-8 -*-
import os
from nltk.parse.stanford import StanfordDependencyParser
from nltk.tokenize import sent_tokenize
import configparser
#dep graph visualization
import networkx as nx
import matplotlib.pyplot as plt
class DepGraphParser:
configs = None
def __init__(self, settingFilePa... | true |
319eba7ffc5d4626b053017aca1899faad11ce91 | Python | SteffyDevassy/PythonLuminar | /GUI_Pgm/frame_pgm.py | UTF-8 | 392 | 2.984375 | 3 | [] | no_license | from tkinter import *
root=Tk()
tFrame=Frame(root)
bFrame=Frame(root)
tFrame.pack()
bFrame.pack(side=BOTTOM)
btn1=Button(tFrame,text="FirstButton",fg="green")
btn2=Button(tFrame,text="SecondButton",fg="red")
btn3=Button(bFrame,text="ThirdButton",fg="blue")
btn4=Button(bFrame,text="4Button",fg="yellow")
btn3.pack()
b... | true |
e9808eefacb59cf92d4fa14ee8dba7401dc8aa39 | Python | ds-connectors/econ-models-textbook | /content/03-public/utils.py | UTF-8 | 9,214 | 2.6875 | 3 | [
"CC-BY-SA-4.0"
] | permissive | import matplotlib.pyplot as plt
import numpy as np
import sympy
from ipywidgets import HBox, VBox, Label, interactive_output, Accordion
import ipywidgets as widgets
from IPython.display import display
solve = lambda x,y: float(sympy.solve(x-y)[0]) if len(sympy.solve(x-y))==1 else "Not Single Solution"
plt.style.use("se... | true |
009fc577ad0806cf68987f02a09e7136ae20d98b | Python | elleFlorio/py-snake | /engine/items/snake.py | UTF-8 | 759 | 3.515625 | 4 | [] | no_license | from collections import deque
class Snake:
def __init__(self, body, symbol, color):
self._body = deque(body)
self._symbol = symbol
self._color = color
self._bonus = 0
def move(self, direction):
head = self._body[-1]
self._body.append(tuple(sum(x) for x in zip(... | true |
5a9d55d998473ffa34e33ef501224734a1db5d5c | Python | lantoli/codejam-python | /Examples/sympy/polinomial_interpolation.py | UTF-8 | 924 | 3.9375 | 4 | [] | no_license | #! /usr/bin/env python3
"""
Polynomial interpolation
Input is a number of points (x1,y1) ... (xn, yn) and print the result N-grade polynomial.
It uses Lagrange polynomials: http://en.wikipedia.org/wiki/Polynomial_interpolation
"""
points = [
(0, 0),
(1, 0),
(2, 0),
(3, 0),
(4, 0),
(5, 0),
... | true |
90c8e1525444ed012d6136d3b04a6891f5cc7a9a | Python | WinnerOK/rest_messenger | /rest_messenger/messenger/serializers/messageSerializers.py | UTF-8 | 1,712 | 2.546875 | 3 | [] | no_license | from rest_framework import serializers, status
from rest_framework.exceptions import NotAuthenticated
from rest_framework.response import Response
from messenger.models import Message
class MessageSerializer(serializers.ModelSerializer):
class Meta:
model = Message
fields = ["id", "text", "sender... | true |
03b9956a1a49e8ede0f8e9e01d07a05ca5949732 | Python | nomorelint/slideshow | /slideshow.py | UTF-8 | 11,200 | 2.8125 | 3 | [] | no_license | import os, sys
from tkinter import Tk, Label
from PIL import Image, ImageTk
import argparse
class ArgsContainer:
def __init__(self, args):
self.args = args
self.filePaths = args['filePaths'][0]
self.transitionTime = int(args['transition'] * 1000)
self.stopTime = args['stopTime'] * 1000
self.goToNextDir = ar... | true |
aea711432f0d0ee4babc26128056a24b676d46e7 | Python | Somesh1501/Codes | /dictionaries.py | UTF-8 | 580 | 3.71875 | 4 | [] | no_license | # dictionaries
''' dictionaries are also list like statements
In dictionaries we use {} for storing a value
dictionaries does not act like list or tuples its content is not associated with numbering like 0,1,2.....
it only associates with specific keys which are described.
There is no position factor , we use keys... | true |
b84b06a388ee329d17f2bae614bd91167ba75067 | Python | RooshRoosh/Pythonyashki | /preprocess_text.py | UTF-8 | 5,956 | 3.25 | 3 | [] | no_license | '''
Для построения word embedding предварительно необходимо:
1. Удалить из текста все изображения и HTML теги.
2. Удалить все знаки препинания и отделить их от других слов.
3. Удалить слова длинной выше 20 символов.
4. Присоединить НЕ к следующему слову.
5. Привести все слова в верхний регистр (... | true |
3f6d4d10859c4b1b2d9eff7fa91958ccf6eeb818 | Python | andigu/contest-programming | /src/dmoj/ccc17s4.py | UTF-8 | 898 | 2.9375 | 3 | [] | no_license | def find(d, x):
return x if d[x] == x else find(d, d[x])
n, m, d = [int(i) for i in input().split(' ')]
edges = []
for i in range(m):
a, b, w = [int(i) for i in input().split(" ")]
edges.append([a - 1, b - 1, w, i < n - 1])
edges = sorted(edges, key=lambda x: x[2])
disjoint = [i for i in range(n)]
rank =... | true |
1965696da19378a157da55e40143a0c32119123f | Python | jbogomol/2frame-object-tracker | /max_offset_32/resize_all.py | UTF-8 | 1,152 | 2.8125 | 3 | [] | no_license | # resize_all.py
#
# @author Jackson Bogomolny <jbogomol@andrew.cmu.edu>
# @date 06/11/2020
#
# Resizes all images in a specified directory to a specified size
import os
import cv2
import torch
# on server or local computer
on_server = torch.cuda.is_available()
# directory with images
if on_server:
... | true |
ad5ce35d2e527ae3fc27dc89856f63849089ef7f | Python | DylanDerouard/Bddpokemon | /code_pokemon/game.py | UTF-8 | 1,389 | 2.6875 | 3 | [] | no_license | import random, os, time, msvcrt
from collections import Counter
from code_pokemon.game import Game
from code_pokemon.inventory import Inventory
from code_pokemon.pokeball import Pokeball
from code_pokemon.shop import Shop
class Game(Inventory, Pokeball, Shop):
def _init_(self, pokedollars, ball, inventory):
... | true |
943cbd89c7c8a7d059a3b9c43c170bfe335b6d82 | Python | alTaWBC/python | /functions/guessinggame.py | UTF-8 | 883 | 4.34375 | 4 | [] | no_license | answer = 5
def get_integer(prompt: str) -> int:
"""Creates a banner where text is centered
Args:
text (str, optional): Text to center. Defaults to " ".
screen_width (int, optional): size of banner. Defaults to 80.
Raises:
ValueError: len(text) is larger than width
"""
whi... | true |
62867d6cc9bdeb87b37d70e5b88837a70a8c8af2 | Python | ingridpacheco/Scientific-Recommender | /getArticleData.py | UTF-8 | 15,707 | 2.828125 | 3 | [
"MIT"
] | permissive | # -*- coding: utf-8 -*-
"""
# **MAI712** - Fundamentos em Ciência de Dados
___
#### **Professores:** Sergio Serra e Jorge Zavaleta
___
#### **Equipe:** Ingrid Pacheco, Eduardo Prata
___
### **OBJETIVO:**
Script de criação de um dataset com os artigos publicados em alguns eventos para o projeto final da matéria MAI712
... | true |
fb520911e43a26d92250457dae09007e35eef1bf | Python | EmilianStankov/HackBulgaria | /week0/problem 15 - list_to_number/solution.py | UTF-8 | 109 | 3.484375 | 3 | [] | no_license | def list_to_number(digits):
num_str = ''
for digit in digits:
num_str += str(digit)
return int(num_str)
| true |
38d077ff25837de5b92ce61c5439a4f75e5f1550 | Python | sim6/django-importer | /tests/test_csvmodels.py | UTF-8 | 1,129 | 2.578125 | 3 | [] | no_license | """
The `CsvModel` class is essentially shortcuts for automatically creating
serializers based on a given model class.
These tests deal with ensuring that we correctly map the model fields onto
an appropriate set of serializer fields for each case.
"""
import os
import tempfile
from django.db import models
from django... | true |
ba48486a6f8fe51c58081551e2d2fc0d440b147b | Python | abiB1994/CMEECourseWork | /Project/python.py | UTF-8 | 2,913 | 2.8125 | 3 | [] | no_license | # !/usr/bin/env python
__author__ = "Abigail Baines a.baines17@imperial.ac.uk"
__version__ = '0.0.1'
import cv2
import numpy as np
import matplotlib.image as mpimg
import matplotlib.pyplot as plt
img1 = cv2.imread("Testing/Abigail/UNADJUSTEDNONRAW_thumb_a54.jpg",0) # queryImage
img2 = cv2.imread("Testing... | true |
92d112861f08d207b76dc40c9f705c09cf2c8756 | Python | jainendrak/python-training | /functions/variableargs.py | UTF-8 | 110 | 3.09375 | 3 | [] | no_license | #variable length args
def add(*a):
print(a,type(a))
add()
add(1,2)
add(1,2,3)
add(1,2,3,4)
add(1,2,3,4,5)
| true |
d74771fc321fe1cc422b26d5ba2f67c7ce4d32fb | Python | ozgeKrt/OpenCv-CesitliCalismalar | /goruntuPiramitleri (1).py | UTF-8 | 273 | 2.546875 | 3 | [
"MIT"
] | permissive | import cv2
import numpy as np
def main():
resim=np.zeros((400,400,3),dtype="uint8") #400e400 bir matris oluştursun her matrisi de 3 tane yapı tutuyor.
print(resim)
cv2.waitKey(0)
cv2.destroyAllWindows()
if __name__ == '__main__':
main() | true |
ea7e4acea22655e170d6768e1587e5db8d48d945 | Python | bakunobu/exercise | /1400_basic_tasks/chap_4/4.6.py | UTF-8 | 213 | 3.03125 | 3 | [] | no_license | # a
def find_value(x:float) -> float:
if x <= 2:
return(x)
else:
return(2.0)
# b
def find_value_two(x:float) -> float:
if x <= 3:
return(x)
else:
return(-3.0) | true |
69a5f2208eb580267f596147a1562f3925098887 | Python | jvansteeter/CS-360 | /Lab3/downloadAccelerator.py | UTF-8 | 3,218 | 3.203125 | 3 | [] | no_license | import argparse
import os
import requests
import sys
import threading
import time
class Shared:
""" Shared memory """
def __init__(self,url):
self.index = 0
self.data = {}
self.sem = threading.Semaphore()
self.url = url
header = {'Accept-Encoding':'identity'}
sel... | true |
3d776e962242506ed312e16e8fa5f0308520a8d7 | Python | wiktorn/onedrive-mirror | /onedrivemirror/__main__.py | UTF-8 | 1,179 | 2.671875 | 3 | [
"MIT"
] | permissive | import onedrivemirror
import argparse
import functools
sessions_file = ".onedrive.session"
def main():
parser = argparse.ArgumentParser(description="Copy OneDrive folder to local path. Remember to set your "
"ONEDRIVEMIRROR_CLIENTID and ONEDRIVEMIRROR_CLIENT_SECRET... | true |