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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
38273c11c261133302926651ba7bf72e70f269ca | Python | imgagandeep/searching-sorting-algorithms | /007-insertion-sort.py | UTF-8 | 392 | 4.1875 | 4 | [] | no_license | # Insertion Sort Algorithm
def insertionsort(list):
for index in range(0, len(list)):
current_element = list[index]
pos = index
while current_element < list[pos - 1] and pos > 0:
list[pos] = list[pos - 1]
pos -= 1
list[pos] = current_element
list ... | true |
e9400d4d80eb3f26806e4e2c0bf756189d6df8f7 | Python | jvhti/trabalhoPE | /analise/gerarGraficoMovieCount.py | UTF-8 | 523 | 3.234375 | 3 | [] | no_license | import matplotlib.pyplot as plt
import json
with open('data/moviesCount.json', 'r') as file:
moviesCount = json.load(file)
plt.plot(range(len(moviesCount)), moviesCount.values(), linestyle='--', marker='o')
plt.title("Quantidade de Vídeos por App")
plt.savefig('imagens/VídeosPorApp.png', bbox_inches='tight')
sum = ... | true |
73f259dd6f8b1a4de80c38f4adb79a44ef7acc1e | Python | hyungsuklim/DeepLearning | /Project/actor_network.py | UTF-8 | 6,496 | 2.625 | 3 | [] | no_license |
# coding: utf-8
import tensorflow as tf
from tensorflow.contrib.layers.python.layers import batch_norm as batch_norm
import numpy as np
import math
# Hyper Parameters
LAYER1_SIZE = 300
LAYER2_SIZE = 400
LEARNING_RATE = 1e-4
TAU = 0.001
BATCH_SIZE = 32
class ActorNetwork:
"""docstring for ActorNetwork"""
... | true |
473425f53b5b1845130d27bf150d34400c3145d1 | Python | qmnguyenw/python_py4e | /geeksforgeeks/python/easy/27_20.py | UTF-8 | 3,113 | 3.609375 | 4 | [] | no_license | numpy.reshape() in Python
The **numpy.reshape()** function shapes an array without changing data of
array.
**Syntax:** numpy.reshape(array, shape, order = 'C')
**Parameters :**
**array :** [array_like]Input array
**shape :** [int or tuples of int] e.g. if we are... | true |
f48fe7542eca26cb98c87ee4879cf0e32986a495 | Python | kobe1916/python-code | /爬虫/requests/requests小技巧.py | UTF-8 | 3,332 | 2.625 | 3 | [] | no_license | In [1]: import requests
In [2]: response = requests.get("http://www.baidu.com")
In [3]: response.cookies
Out[3]: <RequestsCookieJar[Cookie(version=0, name='BDORZ', value='27315', port=None, port_specified=False, domain='.baidu.com', domain_specified=True, domain_initial_dot=True, path='/', path_specified=True, secure... | true |
33795691786e732f9956a2638dd2f46d591a317e | Python | codeprogredire/Python_Coding | /83.py | UTF-8 | 844 | 3.34375 | 3 | [] | no_license | '''
Link: https://leetcode.com/problems/cheapest-flights-within-k-stops/
'''
import heapq
def findCheapestPrice(n,flights,src,dst,K):
adj={u:[] for u in range(n)}
for f in flights:
adj[f[0]].append((f[1],f[2]))
for u,v in adj.items():
print('{} :'.format(u),end=' ')
for i i... | true |
ef644234f5a68cd24b2d85f3759adb9f41a07fd1 | Python | FlogFr/UnAvis | /unavis/models/common.py | UTF-8 | 2,419 | 2.515625 | 3 | [] | no_license | from django.db import models
from django.conf import settings
class InvincibleModel(models.Model):
"""
```InvincibleModel``` enables the model to
never be deleted from the DB by a .delete()
"""
is_active = models.BooleanField('Is the object active',
null=False, ... | true |
824bbbb4d0792c54f1e3df19e28fc872e03ebfd9 | Python | jangnh/post | /social_publish_tool/social/poster.py | UTF-8 | 799 | 2.578125 | 3 | [] | no_license | from .base import BasePoster
class Poster():
def __init__(self, strategy: BasePoster):
self._strategy = strategy
@property
def strategy(self) -> BasePoster:
return self._strategy
@strategy.setter
def strategy(self, strategy: BasePoster) -> None:
self._strategy = strategy
... | true |
666dde563ef85f0256612a42d1eedb1b148a8313 | Python | kpot/kerl | /kerl/common/history.py | UTF-8 | 6,732 | 2.921875 | 3 | [
"MIT"
] | permissive | import datetime
import os.path
from typing import NamedTuple, List, Optional
import numpy as np
class HistoryRecord(NamedTuple):
# Exact date and time of the record
date_time: datetime.datetime
# Exact total reward received during the simulation
exact_reward: float
# Moving average of the rewards... | true |
57efb3dea66693f2c523df30da84ada72aaf8617 | Python | kmill/notes | /model.py | UTF-8 | 14,279 | 2.5625 | 3 | [] | no_license | import os.path
import time
import sqlite3
import json
import datetime
DB = None
def db_connect(dbfile) :
"""Connects to the db. Sets the global DB variable because there should be only
one connection to the db at a time anyway."""
global DB
if not os.path.isfile(dbfile) :
raise TypeError("The... | true |
0835b8a36172decbf38ae4dd9caac19efe343a5f | Python | itaycsguy/ChordsLearner | /Source Code/Progress.pyw | UTF-8 | 909 | 2.71875 | 3 | [] | no_license | import logging
from tkinter import ttk
from tkinter import *
from threading import Thread
"""
Main pupose: initialize each base parameter to classification operation usage
"""
class Progress():
"""
Main pupose: start processing bar view
@param self this object
"""
def start_progress(self):
self.progress_bar.st... | true |
7bf6af803ecb9a4473357e496421b785b925322e | Python | rafarafarafarafael/py_objs | /polymorphism.py | UTF-8 | 443 | 3.890625 | 4 | [] | no_license | from Person import Person
class Person2(Person):
def greet(self, name=""):
if name == "":
print("Hello, " + self._first_name + "!")
else:
print("Hello, " + name + "!")
if __name__ == '__main__':
my_artist = Person2('Rafael', 'Santos', 1976, 3, 23)
print('my artist ... | true |
10217da9c20adcc23bee63c189c010baeae7d929 | Python | meghoshpritam/univ-sem2 | /cg/shapes/trapezium.py | UTF-8 | 810 | 3.390625 | 3 | [] | no_license | # docs: https://tkdocs.com/tutorial/canvas.html
from tkinter import Tk, Canvas
def draw_trapezium(canvas_width=500, canvas_height=500, canvas_bg="#ffffff", fill="#ffffff",
outline="#E93B81", square_width=5):
root = Tk()
root.title('Trapezium')
small_side = canvas_height if canvas_height ... | true |
dc4cea7aa2c1fcbb012a721e3c1ae228b254559b | Python | georgeclm/python | /number.py | UTF-8 | 405 | 3.875 | 4 | [] | no_license | from math import *
myNum = -50
print(-54.56)
print(myNum)
print(str(myNum) + " So now i can print number inside of my string ")
print(abs(myNum))
print(pow(3,10))
print(max(55,65))
# max for maximum number
print(round(5.6))
# round the number
print(floor(3.8))
# floor to round down the number
print(ceil(3.... | true |
e164f0c2ce108977611abd76259b58e93ce97aa6 | Python | bfichera/shgpy | /tests/test_merge_containers.py | UTF-8 | 1,774 | 2.59375 | 3 | [
"MIT"
] | permissive | import unittest
import shgpy
import numpy as np
class TestMergeContainers(unittest.TestCase):
data_filenames_dict = {
'PP':'tests/Data/dataPP.csv',
'PS':'tests/Data/dataPS.csv',
'SP':'tests/Data/dataSP.csv',
'SS':'tests/Data/dataSS.csv',
}
fform_filename = 'tests/fform/T_... | true |
0d3b5235dbe76c4b62f77c19df9d25c4cd248edb | Python | RuYunW/LCProject | /magic/multi_method_classify.py | UTF-8 | 919 | 3.171875 | 3 | [] | no_license | import os
# 读文件
filename = 'train_magic_method_class.txt'
with open(filename, 'rb') as f:
content = f.read().decode('utf-8')
content = content.split("\n")
flag = []
for i in content:
if "class" in i:
flag.append(1)
else:
flag.append(0)
temp = []
class_name = ""
for i in range(len(flag))... | true |
10d81903a20bcb3db4ad0087d3677368b6ff9e3d | Python | Wjonke/Algorithms | /stock_prices/stock_prices.py | UTF-8 | 3,367 | 3.734375 | 4 | [] | no_license | #!/usr/bin/python
import argparse
#first pass solution
# def find_max_profit(prices):
# def merge(a, b):
# x = y = 0
# result = []
# while x < len(a) and y < len(b):
# if a[x] < b[y]:
# result.append(a[x])
# x += 1
# else:
# ... | true |
621ed23a0a5b70b48eec4c0649d8bb413bcc9102 | Python | pranjalsk/easy-shopping-semantic-web-app | /Data_Hunting/Dataset_Safeway_alcohol.py | UTF-8 | 7,618 | 2.578125 | 3 | [] | no_license | # This code extracts all the Bakery products data from Safeway.com
# and makes csv file of the same
from selenium import webdriver
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.common.by import By
from selenium.webdriver... | true |
ba8af99d2c25641501a0a7cd2a9c9bc8319c4803 | Python | mistert14/mistert-skulpt | /skulpt/python/blackjack.py | UTF-8 | 6,067 | 3.03125 | 3 | [] | no_license | import simplegui
import random
CARD_SIZE = (73, 98)
CARD_CENTER = (36.5, 49)
CARD_BACK_SIZE = (71, 96)
CARD_BACK_CENTER = (35.5, 48)
CANVAS_W = 800
CANVAS_H = 600
COLORS = ('trefle','pique','coeur','carreau')
RANKS = ('A','2','3','4','5','6','7','8','9','T', 'J','Q','K')
POINTS = {'A':1, '2':2, '3':3, '4':4, '5':5... | true |
20c5693a52820f4f963be14853693d7c6affcc11 | Python | NREL/sup3r | /sup3r/utilities/utilities.py | UTF-8 | 46,084 | 2.8125 | 3 | [
"BSD-3-Clause"
] | permissive | # -*- coding: utf-8 -*-
"""Utilities module for preparing training data
@author: bbenton
"""
import glob
import logging
import os
import re
from fnmatch import fnmatch
from warnings import warn
import numpy as np
import pandas as pd
import psutil
import xarray as xr
from packaging import version
from scipy import nd... | true |
85447f94cc66b278a7d6e3b51c22e66faf711a03 | Python | Maillol/test | /hotels/console.py | UTF-8 | 8,666 | 3.125 | 3 | [] | no_license | import argparse
from cmd import Cmd
import datetime
import pathlib
import pickle
from typing import Optional
from .model import Hotel, NoFreeRoom
class HotelCmd(Cmd):
path_to_file: Optional[pathlib.Path]
hotel: Hotel
def __init__(self, completekey='tab', stdin=None, stdout=None):
super().__init... | true |
443deae2f2cb568f6132983471f7dc84e6c320ad | Python | Labannya969/Hackerrank-practice | /python/08. Regex and Parsing/001. Validating phone numbers.py | UTF-8 | 247 | 3.328125 | 3 | [] | no_license | # Enter your code here. Read input from STDIN. Print output to STDOUT
import re
n = int(input())
pattern = re.compile(r'^[7-9]\d{9}$')
for i in range(n):
k=input()
if pattern.match(k):
print('YES')
else:
print('NO')
| true |
b27b0b83e4be6e15bf06345f0a417d1ea12286bb | Python | PoroTomato99/Python_Crash_Course | /word_cloud.py | UTF-8 | 8,153 | 3.15625 | 3 | [] | no_license | #!/usr/bin/env python
file_contents = """This title is the first of its kind and will help you to secure all aspects of your Amazon Web
Services (AWS) infrastructure by means of penetration testing. It walks through the
processes of setting up test environments within AWS, performing reconnaissance to
identify vulnerab... | true |
7bbaba5d607b3a72cc0eac002cedfec3e17df435 | Python | sawyermade/computerVisionGrad | /as1/smcImgCpu.py | UTF-8 | 2,313 | 2.59375 | 3 | [] | no_license | import numpy as np
import imageio, os, math, sys
from tqdm import tqdm
from color_conversion import *
def meanshift_gs(img_og, steps, hr, hs, M, sdr, sds):
img_in = np.copy(img_og)
img_out = np.copy(img_og)
for step in tqdm(range(steps)):
for i in range(img_in.shape[0]):
for j in range(img_in.shape[1]):
X... | true |
fca163fe038cd6494b6c866524d8935dc9c44a13 | Python | silphire/training-with-books | /math-and-algorithm/023.py | UTF-8 | 201 | 2.625 | 3 | [
"MIT"
] | permissive | # https://atcoder.jp/contests/math-and-algorithm/tasks/math_and_algorithm_w
n = int(input())
bb = list(map(int, input().split()))
rr = list(map(int, input().split()))
print(sum(bb) / n + sum(rr) / n) | true |
a68248b900492835983f1b1743dac2c9906df345 | Python | timof1308/CsvToJson | /CsvFile.py | UTF-8 | 1,123 | 3.203125 | 3 | [
"MIT"
] | permissive | #!/usr/bin/python
# Author= Timo Fischer
import sys
from File import File
from JsonFile import JsonFile
class CsvFile(File):
"""
CSV File Class
"""
def __init__(self, file):
"""
CsvFile class constructor
:param file:
"""
super().__init__(file)
# check ... | true |
1e9e2698976e43438863ca7d6ed82661955fec05 | Python | adeshaies/Bank.py | /Bank.py | UTF-8 | 611 | 3.125 | 3 | [] | no_license | class user:
accounts = 0
@classmethod
def __init__(self, username, password):
self.username = username
self.password = password
user.accounts += 1
def encrypt(self):
privatekey = 7411
letters = "abcdefghijklmnopqrstuvwxyz"
encrypted = ""
for letter in self.username:
if letter in... | true |
defc0dec1060f64350e38ddccdbc92926b532a01 | Python | friendshuhr/pythonStuff | /Python Demos/guessingGame.py | UTF-8 | 258 | 3.796875 | 4 | [] | no_license | #make a guessing game that prompts the user to enter a number.
#tell them it's wrong until they get it right.
#you can pick the number
num = input("Enter a number")
while num != 2:
print ("no no silly")
num = input("try again")
print ("Yaay!")
| true |
9f4155d7637f59a43acc162c0ec18f73cc37ce5d | Python | MovIe-Tech/movie-recommender | /web/app.py | UTF-8 | 418 | 2.609375 | 3 | [] | no_license | from flask import Flask, render_template, request
app = Flask(__name__)
@app.route('/')
def index():
return render_template('index.html')
@app.route('/search', methods=['POST'])
def search():
return render_template('search.html', movies=find(request.form['statement']))
def find(statement):
return ['映... | true |
032c3742eb9a53a6831c8763784e79a88a6ab861 | Python | vvindovv/likelion-homework | /blog/models.py | UTF-8 | 824 | 2.703125 | 3 | [] | no_license | from django.db import models
from django.contrib.auth.models import User
# Create your models here.
class Blog(models.Model):
# pk
title = models.CharField(max_length = 200) #짧은글(title)
pub_date = models.DateTimeField('date published') #날짜와 시간의 변수
body = models.TextField() #긴글형식
def __str__(self):... | true |
7aefa7bbdda982fed1d2b15c1998b13e6760de55 | Python | msc-acse/acse-9-independent-research-project-LCS18 | /cctv-ml-workflow/ml.py | UTF-8 | 3,794 | 2.671875 | 3 | [
"MIT"
] | permissive | """Laura Su (GitHub: LCS18)"""
import numpy as np
import random
import utils
import torch
from torch.utils.data import TensorDataset
from custom_dataset import CustomImageTensorDataset
from data_augmentation import get_transform
def set_seed(seed):
"""
Use this to set ALL the random seeds to a fixed value ... | true |
685bdecd8e029b131145675a3b0238c77eba91e3 | Python | yeasellllllllll/bioinfo-lecture-2021-07 | /src/190page.py | UTF-8 | 232 | 2.875 | 3 | [] | no_license | f = "data.txt"
d = {}
with open(f, "r") as fr:
for line in fr:
l = line.strip().split(" ")
gene, val = l[0], l[1]
d[gene] = val
print(d.items())
print(sorted(d.items(), key=lambda x: x[1], reverse=True))
| true |
b164f6b0bc6082d512b710c0ee471de923d17964 | Python | sam78640/internet-crawler | /database_exporter.py | UTF-8 | 566 | 2.921875 | 3 | [] | no_license | import sqlite3
def create_table():
conn = sqlite3.connect('websites.db')
c = conn.cursor()
c.execute('''CREATE TABLE websites (id integer primary key autoincrement, websites TEXT)''')
conn.commit()
conn.close()
def insert_data():
conn = sqlite3.connect('websites.db')
c = conn.... | true |
9f91eddf0a7422accc599684c06c1c4f7e305791 | Python | JudsonMurray/MovieDB | /CL/src/MovieList.py | UTF-8 | 19,460 | 3.828125 | 4 | [] | no_license | # Claire Leblanc
# Movie List
# Program Description - User is able to add in the list, remove from the list, view the list, have a summary of the list
# - User is now able to access Shortest to Longest, Longest to Shortest, A - Z, Z - A
# - User is not able to add actors and ... | true |
4d24afca9d1aacc9e12dfe57177cad17062d96fc | Python | fengzhongzhu1621/xTool | /tests/utils/test_timezone.py | UTF-8 | 1,710 | 2.65625 | 3 | [
"MIT",
"BSD-3-Clause",
"Apache-2.0",
"BSD-2-Clause",
"Python-2.0"
] | permissive | # coding: utf-8
import datetime as dt
import pytest
from xTool.utils.timezone import *
def test_is_localized():
now = utcnow()
assert is_localized(now)
def test_utc_epoch():
d = utc_epoch()
assert d.year == 1970
assert d.month == 1
assert d.day == 1
def test_is_naive():
now = dt.dat... | true |
ce99d57f3dadf4f54fc654d9a731a57bb656c59a | Python | DaiJitao/algorithm | /leetcode_china/demo2_2.py | UTF-8 | 1,364 | 3.5625 | 4 | [] | no_license | class ListNode:
def __init__(self, val, next):
self.val = val
self.next = next
def demo():
"""
第一种方法是直接相加，但是无法应对超大链表；
:return:
"""
pass
def add_arr(arr1, arr2, add_bit):
pass
def demo2(l1: ListNode, l2: ListNode):
h1 = l1
h2 = l2
n1, n2 = 0, 0
arr1 = []
... | true |
b87ad993aee98f64fcfe22efe4331b8599755eee | Python | hewaele/leetcode | /携程笔试/q2.py | UTF-8 | 1,243 | 2.828125 | 3 | [] | no_license | from sklearn.metrics import roc_auc_score
"""
10
1 0.90
0 0.70
1 0.60
1 0.55
0 0.52
1 0.40
0 0.38
0 0.35
1 0.31
0 0.10
0.68
"""
n = int(input())
result = []
for i in range(n):
r, p = map(float, input().strip(' ').split(' '))
result.append([r, p])
result.sort(key=lambda s: s[1])
#计算TPR
#循环判断截断误差
roc = []
f... | true |
9c9c6c06da22e55f370752fa93916c438fc99446 | Python | jeffcall-ch/dividends | /SP500_div_yield_crawler.py | UTF-8 | 1,506 | 3.046875 | 3 | [] | no_license | from bs4 import BeautifulSoup
import requests
import re
class SP500(object):
def __init__(self):
pass
def find_number_percent(self, input_text):
words = input_text.split(" ")
found_percentages = []
for word in words:
if word.find("%") != -1:
# append... | true |
f05f4c79a52f614390dc7164df5b573d6c6f9fd9 | Python | ryandasher/pythonthehardway | /ex5.py | UTF-8 | 539 | 3.671875 | 4 | [] | no_license | name = 'Ryan D. Asher'
age = 28 # not a lie
height = 68 # inches
weight = 145 # lbs
eyes = 'Blue'
teeth = 'White'
hair = 'Brown'
print "Let's talk about %r." % name
print "He's %r inches tall." % height
print "He's %r pounds heavy." % weight
print "Actually that's not too heavy."
print "He's got %r eyes and %r hair." ... | true |
32cfb38fbf60bfc77b6ff4f6cc32d3fc86cdf093 | Python | itsolutionscorp/AutoStyle-Clustering | /all_data/exercism_data/python/leap/ca5b6d6ed1bf4c52973a8d8e8f5e868c.py | UTF-8 | 281 | 3.65625 | 4 | [] | no_license | #
# Returns true if year is leapyear
# Conditions:
# Year is divisible by 4
# Year is not divisible by 100 unless also divisible by 400
def is_leap_year(year):
if not (year % 4 == 0):
return False
elif (year % 100 == 0) and not (year % 400 == 0):
return False
return True
| true |
999f32199e351006e599f999b5c9418bc6b2b3f2 | Python | sharonsabu/pythondjango2021 | /LanguageFundamentals/age.py | UTF-8 | 140 | 3.359375 | 3 | [] | no_license | yob=int(input("enter the year of birth = "))
cy=int(input("enter the current year = "))
age=cy-yob
print("age =",age)
ly=100-age
print(ly)
| true |
f2363b9836c6784ba570e40b92ec89528e0302ad | Python | jvaneg/ryuRestDBA | /backend/dbaAlgorithms.py | UTF-8 | 9,733 | 3.015625 | 3 | [] | no_license | from copy import copy
# allocated excess bandwidth evenly but not higher than what the flow is demanding
def allocate_egalitarian(flow_list, excess_bandwidth):
active_flows = []
# determine active flows (flows using bandwidth)
for _flow_id, flow in flow_list.items():
if(flow.get_demand_bw() > 0):
... | true |
bfe5ccfc44dbd385c45f9f9b2c733cb7598cf77f | Python | luoqiaoen/Python-ML-Workspace | /deep_learning_1/sklearn_ann.py | UTF-8 | 602 | 2.859375 | 3 | [] | no_license | #Simple sklearn example
from process import get_data
from sklearn.neural_network import MLPClassifier
from sklearn.utils import shuffle
X, Y = get_data()
X, Y = shuffle(X, Y)
Ntrain = int(0.7*len(X))
Xtrain, Ytrain = X[:Ntrain], Y[:Ntrain]
Xtest, Ytest = X[Ntrain:], Y[Ntrain:]
#set model parameters, see MLPClassifie... | true |
6a4b2312b181e2efb68c74251edcae240b5ab423 | Python | zhangler1/leetcodepractice | /链表/148.排序链表.py | UTF-8 | 1,456 | 3.109375 | 3 | [] | no_license | from 链表.链表序列化与打印 import ListNode,LinkList
class Solution:
def sortList(self, head: ListNode) -> ListNode:
def merge(l1:ListNode,l2:ListNode):
p=ListNode()
head=p
while(l1 and l2):
if l1.val>l2.val:
p.next=l2
p=p.next... | true |
f4687ba4c75c16978ad81dca4c55ce81b6e38777 | Python | roikvlad/Programming | /Курсовая/Python/ball.py | UTF-8 | 1,033 | 2.6875 | 3 | [] | no_license | import pygame
from game_object import GameObject
from PIL import ImageFont # new
import config as c
# print(Q)
# Q = [
# [
# ['Как называется ближайшая к Солнцу планета?','orange'],
# ['Венера','red'],
# ['Марс','deeppink'],
# ['Меркурий','tomato'],
# ['Земля','cyan']
# ],
# ... | true |
c9e1af7437068009d2875d65b0583f0b36215946 | Python | KseniiaPrytkova/iban-validator | /get-iban-countries.py | UTF-8 | 630 | 2.921875 | 3 | [] | no_license | import requests
from bs4 import BeautifulSoup
f = open('iban-data.txt', 'w')
URL = "https://www.iban.com/structure"
r = requests.get(URL)
soup = BeautifulSoup(r.content, 'html5lib')
data = []
table = soup.find('table', attrs={'class':'table'})
table_body = table.find('tbody')
rows = table_body.find_all('tr')
for ro... | true |
743d6bfef6eed8a714baaa7ec4c8921df9e9439c | Python | FIRESTROM/Leetcode | /Python/375__Guess_Number_Higher_or_Lower_II.py | UTF-8 | 579 | 2.875 | 3 | [] | no_license | class Solution(object):
def getMoneyAmount(self, n):
"""
:type n: int
:rtype: int
"""
dp = [[0] * (n + 1) for _ in range(n + 1)]
for length in range(2, n + 1):
for start in range(1, n - length + 2):
end = start + length - 1
... | true |
50598ed826bd8198aac6edd64ce36270344bd835 | Python | openelections/openelections-data-ia | /openelexdata/us/ia/util.py | UTF-8 | 3,828 | 3.40625 | 3 | [] | no_license | import re
import struct
NUMBER_WORDS = {
'zero': 0,
'one': 1,
'two': 2,
'three': 3,
'four': 4,
'five': 5,
'six': 6,
'seven': 7,
'eight': 8,
'nine': 9,
'ten': 10,
'eleven': 11,
'twelve': 12,
'thirteen': 13,
'fourteen': 14,
'fifteen': 15,
'sixteen': 16,... | true |
1c3840e6b0dd02fe2aab59ea5ec472a2497171d2 | Python | Obukhova2001/practicum_1 | /task20.py | UTF-8 | 1,173 | 3.40625 | 3 | [] | no_license | """
Имя проекта: Boring-numpy
Номер версии: 1.0
Имя файла: practicum-1(1-101).py
Автор: 2019 © Д.А.Обухова, Челябинск
Лицензия использования: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/deed.ru)
Дата создания: 11/11/2020
Дата последней модификации: 11/11/2020
Связанные файлы/пакеты: numpy, ran... | true |
3efee2c3d697868c3784b3ad7c15c2822820516e | Python | dzervas/boredom | /snake/snake.py | UTF-8 | 3,876 | 2.90625 | 3 | [
"Beerware"
] | permissive | from curtsies import input
from curtsies.window import FullscreenWindow
from curtsies.formatstringarray import FSArray
from curtsies.formatstring import fmtstr
from random import randrange
from time import time
import sys
# Body and head ascii form of the snake and apple.
# head, body, apple, space
theme = [ u" ", fm... | true |
74626605a416a8a9f485f7a8822f4aa35e22e592 | Python | TurtleHermitVT/Slippi_Live_Replay_Parser | /replay_parser.py | UTF-8 | 1,821 | 2.703125 | 3 | [
"MIT"
] | permissive | #Experimental Live Slippi Replay Parser
#Parses the data during live gameplay
#Updates are inconsistently timed as data becomes available,
#This means that the parser won't be on the exact same frame as the live game
#but every single frame will be read.
import time
import translator
from structures import *
from gen... | true |
576ceb94187260ca2767db47c680d727499c8bdb | Python | ErfanEbFiN2/coronavirus | /coronavirus.py | UTF-8 | 690 | 2.96875 | 3 | [] | no_license | import requests
from bs4 import BeautifulSoup
import re
my_list1 = []
my_list2 = []
l = 0
city = input('Enter a city to see a information : ')
Get = requests.get('https://www.worldometers.info/coronavirus/country/' + city + "/")
one = BeautifulSoup(Get.text, 'html.parser')
information1 = one.find_all('h1')
information... | true |
94a3b68232ea7fe13d4014f0525dac843e0f39d9 | Python | zanderdk/P7 | /scripts/node2vec-parameter-optimization/get_nodes_test.py | UTF-8 | 577 | 2.796875 | 3 | [] | no_license | from node2vec import getAllNodes
import time
import pickle
start = time.time()
nodes = getAllNodes()
end = time.time()
print("getAllNodes time:")
print(end - start)
print("nodes length before pickle: %d" % len(nodes))
start = time.time()
with open('all_nodes.pickle', 'w') as f:
pickle.dump(nodes, f)
end = time.t... | true |
83a51e49bfd543effcd2a0a19c5bdef998c73ef3 | Python | EnderCaster/MyGitExperimentSpace | /linux_path/linux_monitor/network_monitor.py | UTF-8 | 800 | 2.875 | 3 | [] | no_license | #!/usr/bin/env python
# -*- utf-8 -*-
import time
import sys
if len(sys.argv) > 1:
INTERFACE = sys.argv[1]
else:
INTERFACE = 'eth0'
STATS =[]
print 'Interface : ',INTERFACE
def rx():
ifstat=open('/proc/net/dev').readlines()
for interface in ifstat:
if INTERFACE in interface:
stat = float(interface.split()[1]... | true |
6a88c7a122a555d22a3db53f9a6decd274f8e1ca | Python | Minsc016/ggstudy | /py/第四章：迭代器与生成器/4_10_序列上索引值迭代.py | UTF-8 | 2,570 | 4.0625 | 4 | [] | no_license | #########################################################################
# File Name: 4_10_序列上索引值迭代.py
# Author: Crow
# mail:qnglsk@163.com
# Created Time: Thu Dec 26 14:51:16 2019
#########################################################################
#!/usr/bin/env python3
# 在迭代一个序列的同时 跟踪正在被处理 的 元素索引。
# 解决方案，内置的 ... | true |
eaad742da33074803601bd7bd01641009dc51f7a | Python | pushkarlaulkar/competitiveprogramming | /printlistwithspaces.py | UTF-8 | 50 | 2.890625 | 3 | [] | no_license | a = [1, 2, 3];
print " ".join(str(x) for x in a);
| true |
1b9ff1db85135fa322d4280b9be7e7ce09b7c478 | Python | malikalbeik/Buyit | /helpers.py | UTF-8 | 756 | 3 | 3 | [
"MIT",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | """
This helper file contains functions that we will use for
security purposes.
"""
from functools import wraps
from flask import redirect, session
ALLOWED_EXTENSIONS = set(['png', 'jpg', 'jpeg'])
def login_required(arg):
"""
Decorate routes to require login.
http://flask.pocoo.org/docs/0.12/patterns/vie... | true |
7174bbfa760d9683d5e85624639b6889dac38a76 | Python | zclongpop123/sag_utils | /sag_fileTools.py | UTF-8 | 825 | 2.515625 | 3 | [] | no_license | #========================================
# author: changlong.zang
# mail: zclongpop@163.com
# date: Mon, 29 Jun 2015 11:24:46
#========================================
import os, os.path, cPickle
#--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+-... | true |
90e01d449f5befd9479dcf2c22c9cbe6bd70665d | Python | Aasthaengg/IBMdataset | /Python_codes/p03039/s003961310.py | UTF-8 | 1,389 | 3.4375 | 3 | [] | no_license | # N, M から相異なる二点を取った時のマンハッタン距離の、二点の取り方についての総和を、
# _{N + M - 2} C _{K - 2} 倍したものが答え。
N, M, K = map(int, input().split())
# コンビネーション前計算。
MOD = 10 ** 9 + 7
table_len = 2 * 10 ** 5 + 10
fac = [1, 1]
for i in range(2, table_len):
fac.append(fac[-1] * i % MOD)
finv = [0] * table_len
finv[-1] = pow(fac[-1], MOD - 2, M... | true |
89faa05b4fa46f25a6778fcace883df78dd39ffa | Python | renero/trader | /src/utils/plot_utils.py | UTF-8 | 6,447 | 2.796875 | 3 | [] | no_license | import matplotlib.dates as mdates
import numpy as np
import pandas as pd
from matplotlib import pyplot as plt
from pandas import Series
def trend_lines(ax1, trend, **kwargs):
# plot lines where trend changes
for x in trend.index[trend.green == 1].values:
ax1.axvline(x, color='green', linestyle='--', a... | true |
17f60d82e4909f81f29738232737fa56021ab33a | Python | blacknaml/Learning-New-Thing | /python-fundamental/input-float.py | UTF-8 | 429 | 3.71875 | 4 | [
"MIT"
] | permissive | #!/usr/bin/python
from __future__ import print_function
def main():
# membuat prompt untuk tipe data float
bilriil = float(raw_input("Masukan bilangan riil: "))
# menggunakan variabel untuk melakukan perhitungan
hasil = bilriil * 2
# menampilkan nilai variabel
print("Bilangan yang dimasukan ... | true |
86b8f56533197963f6e18467d5a3062dc0dc9985 | Python | Punttikarhu/Hy-Data-analysis-2019 | /file_count.py | UTF-8 | 543 | 3.390625 | 3 | [] | no_license | #!/usr/bin/env python3
import sys
def file_count(filename):
with open(filename) as f:
data = f.read()
numberOfLines = len(data.strip().split('\n'))
numberOfWords = len(data.split())
numberOfChars = len(data)
return numberOfLines, numberOfWords, numberOfChars
def main():
f... | true |
9325cda2d66c8d0b5fe07940c1b4b03d928ef5fa | Python | Lewkow/cosmic_twins | /game_object.py | UTF-8 | 1,058 | 3.453125 | 3 | [] | no_license | import math
from physics import Vector2d
from helpers import draw_centered
class GameObject(object):
"""All game objects have a position and an image"""
def __init__(self, position, image, speed=0):
self.object_time = 0
self.c = 5
self.image = image
self.position = Vector2d(posi... | true |
ed664480aa4372df36d7c2bd9ee3460b2b162130 | Python | s62195541/250201048 | /lab10/example2.py | UTF-8 | 188 | 3.234375 | 3 | [] | no_license | def hailstone(n):
s = str(n)
if n==1:
return s
else:
if n%2==0:
return s+','+ hailstone(n//2)
else:
return s+',' + hailstone((3*n)+1)
print(hailstone(5)) | true |
4786af0b5377c8fe50573f8a9921d8e095f83762 | Python | cyber1998/netflix-titles-2019 | /app/models.py | UTF-8 | 1,942 | 2.90625 | 3 | [] | no_license | from django.db import models
class Country(models.Model):
"""
The name of the country where the title was released
"""
name = models.CharField(max_length=128, help_text='Name of the country')
def __str__(self):
return self.name
class Category(models.Model):
"""
The category in w... | true |
8d4dec68d4c57705ed92ba6fa3e332182e65c7cb | Python | julianbrouwer/programmeren | /les 9/pe9_2.py | UTF-8 | 660 | 2.9375 | 3 | [] | no_license | import datetime
import csv
bestand = 'inloggers.csv'
vandaag = datetime.datetime.today()
s = vandaag.strftime("%a %d %b %Y, at %X")
with open('bestand', 'a', newline='') as myCSVFile:
writer = csv.writer(myCSVFile, delimiter=';')
writer.writerow(('datum','naam', 'voorletters', 'geboortedatum', 'email'))
w... | true |
b09d9f11ab2f70101fccfdb6e2ced80bdcca28b2 | Python | shashank793/Python-3-BootCamp-Solution | /function assignment/check_panagram.py | UTF-8 | 264 | 3.5 | 4 | [] | no_license | import string
def ispangram(str1, alphabet=string.ascii_lowercase):
x = set(alphabet)-set(str1.lower().replace(" ",""))
if len(x) == 0:
print(True)
else:
print("Not a Panagram")
ispangram("The quick brown fox jumps over the lazy dog") | true |
9936cdc726b9d1e998a35e21c48161d812ab5b69 | Python | CosterBellido/Python-principiantes | /Convertidor de fahrenheit a celsius.py | UTF-8 | 123 | 3.640625 | 4 | [
"Apache-2.0"
] | permissive | # Convierte de Fahrenheit a Celsius
def convert(s):
f = float(s)
c = (f - 32) * 5/9
return c
print(convert(78)) | true |
9da4d447dc6aa54e618d5b11415d00f7d44c09b7 | Python | vpc20/binary-trees | /SearchInABinarySearchTree.py | UTF-8 | 1,043 | 4.6875 | 5 | [] | no_license | # Given the root node of a binary search tree (BST) and a value. You need to find the node in the BST that the node's
# value equals the given value. Return the subtree rooted with that node. If such node doesn't exist, you should
# return NULL.
#
# For example,
#
# Given the tree:
# 4
# / \
# 2 ... | true |
03d84152731eb9cb04de4006175ad407425f1405 | Python | mini338/mpf | /mpf/system/events.py | UTF-8 | 28,981 | 3 | 3 | [
"MIT"
] | permissive | """Contains the base classes for the EventManager and QueuedEvents"""
# events.py
# Mission Pinball Framework
# Written by Brian Madden & Gabe Knuth
# Released under the MIT License. (See license info at the end of this file.)
# Documentation and more info at http://missionpinball.com/mpf
import logging
from collecti... | true |
9df93958eb2e02b3460a7c8c941c84764d470919 | Python | mohmah9/cs224n-2021-project | /src/Pre_processing.py | UTF-8 | 6,576 | 2.6875 | 3 | [] | no_license | import json
import csv
import time
import pandas as pd
from hazm import *
print("Pre Processing ...")
start = time.time()
with open('keyfari.json') as f:
data_k = json.load(f)
with open('hoghoghi.json') as f:
data_h = json.load(f)
r_k=[]
for i in data_k:
if len(i['raay']) < 150 and len(i['raay2']) < 150:
... | true |
72f034083b20f268b57fef2f557151a48766641f | Python | shilpavijay/Pandas-and-Data-Analytics | /MultipleDataFrames.py | UTF-8 | 1,074 | 3.046875 | 3 | [] | no_license | import pandas as pd
df1 = pd.DataFrame({'HPI':[80,85,88,85],
'Int_rate':[2, 3, 2, 2],
'US_GDP_Thousands':[50, 55, 65, 55]},
index = [2001, 2002, 2003, 2004])
df2 = pd.DataFrame({'HPI':[80,85,88,85],
'Int_rate':[2, 3, 2, 2],
... | true |
2fe511682925f68ba80213b5fee0730915c27d48 | Python | AdamBhavnani/PythonProjects | /RandomMapGenerator/RandomMapv2.py | UTF-8 | 4,744 | 3.234375 | 3 | [] | no_license | #import libraries/modules
import RMv2_Func as RMv2
#PILlow library (python image library) for creating & loading images
import PIL
from PIL import Image
#colour picker for image colours
import tkinter as tk
import tkinter.ttk as ttk
from tkcolorpicker import askcolor
#get input for Random Walk algorithm parameters
map... | true |
6ccada61d512fc685759eac10f92c6d2d92cdb47 | Python | mit-quest/dendritic-spines | /train/data/mask-generation-scripts/alt-mask-gen.py | UTF-8 | 8,742 | 2.859375 | 3 | [] | no_license | import os
import numpy as np
from skimage import io
from scipy.io import loadmat
from PIL import Image
def getData(source = "./ann_files"):
images = dict()
for r, d, f in os.walk(source):
for file in f:
if '.ann' in file and '.ann' == file[-4:]:
fileContents = loadma... | true |
ba60ec4cba5e87ac69f97a88b0eddfd19904e24a | Python | byeongal/KMUCP | /week04/code01.py | UTF-8 | 76 | 2.78125 | 3 | [
"MIT"
] | permissive | true_value = True
false_value = False
print(true_value)
print(false_value)
| true |
58179356dc15fdaff727d3f50a3e7436ea7f1f51 | Python | sunwenquan/scrapy-teaching | /glance.py | UTF-8 | 1,185 | 2.78125 | 3 | [
"Apache-2.0"
] | permissive | import warnings
import scrapy
from scrapy.http.request import Request
from scrapy.utils.deprecate import method_is_overridden
class QuotesSpider(scrapy.Spider):
name = 'quotes'
start_urls = [
'http://quotes.toscrape.com/tag/humor/',
]
def start_requests(self):
requests = []
f... | true |
23b6f3001024f6e8a6dfdac6bca136e1c47e9300 | Python | CDaudish/TDD | /check_pwd.py | UTF-8 | 113 | 2.765625 | 3 | [] | no_license | def check_pwd(password):
if len(password) >= 8 and len(password) <= 20:
return True
return False
| true |
71b3023c2574ab3f02db7f9530475eaec8b43b39 | Python | tchapeaux/advent2019 | /12_b.py | UTF-8 | 4,273 | 3.5625 | 4 | [] | no_license | from copy import deepcopy
from itertools import combinations
import math
import re
from _lib import getLinesForDay
rawInput = getLinesForDay(12)
# Each planet is a list with 6 elements:
# x, y, z, vx, vy, vz
planets = [[] for l in rawInput]
for idx, line in enumerate(rawInput):
coords = re.match(r"<x=(.*), y=(.... | true |
824a2a1e98a50621abebb1e79d086b99c4abbb0e | Python | woopy098/SocialMediaCrawler | /socialMediaObjectCreator.py | UTF-8 | 6,117 | 3.6875 | 4 | [] | no_license | from nltk.sentiment.vader import SentimentIntensityAnalyzer
class socialMedia:
"""
A class to represent social media
...
Attributes
----------
socialMedia : Object
Create object for different social media. Object has database type, sentiment score and crime score
Methods
... | true |
aac70de6fb283f9f70ac961e23f4f06ed0a7a9e8 | Python | weiyudang/leetcode | /offer/8.py | UTF-8 | 663 | 3.78125 | 4 | [] | no_license | #coding:utf-8
'''
输入一个整数，输出该数二进制表示中1的个数。其中负数用补码表示。
n=2 10->1
n=3 11->2
n=9 1001->2
思路1:移位 >> 依次与&0x1直至数据为0
思路： n&(n-1) 每个数字n 与n-1 进行与运算可以消除最后一个1 1001—1000 0111
'''
class Solution:
def NumberOf1(self,n):
count=0
if n<0:
n = n & 0xffffffff
while n:
n=n&(n-1)
... | true |
24a618fe5580982ed9c7515775bc07c8f92a30bd | Python | nishant27kaushik/Covid-19_Cases | /Covid Stats/mycode.py | UTF-8 | 1,153 | 3.5 | 4 | [] | no_license | #Plotting Covid-19 Cases & Deaths using the Covid Lib
#Author Nishant Kaushik
#Date: 2020-07-15
from covid import Covid
from matplotlib import pyplot as plt
covid = Covid()
active_cases = covid.get_total_active_cases()
total_deaths = covid.get_total_deaths()
confirmed_cases = covid.get_total_confirmed_cases()
mort... | true |
1a12abdf6a7e029bce5c21689f9607c65a0b2496 | Python | ChanJeunlam/gfdlvitals | /gfdlvitals/averagers/land_lm4.py | UTF-8 | 4,772 | 2.59375 | 3 | [] | no_license | """Land LM4.1 Averaging Routines"""
import xarray as xr
import gfdlvitals.util.gmeantools as gmeantools
import gfdlvitals.util.xrtools as xrtools
import gfdlvitals.util.netcdf as netcdf
__all__ = ["xr_average"]
def xr_average(fyear, tar, modules):
"""xarray-based processing routines for cubed sphere LM4 land ... | true |
ce80a362c378e4f5a5f685e64db6386f7fbe768a | Python | bksahu/dsa | /dsa/patterns/two_pointers/squaring_a_sorted_array.py | UTF-8 | 879 | 3.984375 | 4 | [
"MIT"
] | permissive | """
Given a sorted array, create a new array containing squares of all the number of the
input array in the sorted order.
Example 1:
Input: [-2, -1, 0, 2, 3]
Output: [0, 1, 4, 4, 9]
Example 2:
Input: [-3, -1, 0, 1, 2]
Output: [0, 1, 1, 4, 9]
"""
# def solution(arr):
# return sorted([x*x for x in arr])
# Idea is... | true |
b2c3a90407aa451f0fa630a4f2b7ca4a8f4c5361 | Python | lbarberiscanoni/gt4teams_analysis | /survey/merge.py | UTF-8 | 792 | 2.5625 | 3 | [] | no_license | import csv
from pprint import pprint
survey_data = {}
i = 0
keys = []
with open('survey_structured.csv', 'r') as infile:
survey = csv.reader(infile)
for row in survey:
ob = {}
if i < 1:
keys = row
else:
for x in range(len(keys)):
ob[str(keys[x])] = row[x]
survey_data[ob["code"]] = ob
i += 1
h... | true |
f6411e96de1e30fa82fc6644464eb9712b5bc052 | Python | yayankov/Python-Coursera | /Python Data Structure/tuples.py | UTF-8 | 766 | 3.421875 | 3 | [] | no_license | #Write a program to read through the mbox-short.txt
#and figure out the distribution by hour of the day
#for each of the messages. You can pull the hour out
#from the 'From ' line by finding the time and then
#splitting the string a second time using a colon.
#From stephen.marquard@uct.ac.za Sat Jan 5 09:14:16 2008
#O... | true |
0cd9929ef333bde005ad610422d9e5e88f0fd6b0 | Python | bala4rtraining/python_programming | /python-programming-workshop/pythondatastructures/built_in_functions/filter/filter_one.py | UTF-8 | 151 | 3.484375 | 3 | [] | no_license |
numbers = [10, 20, 0, 0, 30, 40, -10]
# Filter out numbers equal to or less than zero.
result = list(filter(lambda n: n > 0, numbers))
print(result)
| true |
f99a1fd233250345004bd1b30955cf0183af2010 | Python | hlibco/raspberrypi | /rgb_fade.py | UTF-8 | 2,232 | 3.421875 | 3 | [] | no_license | #!/usr/bin/python
# -*- coding: utf-8 -*-
'''
Turns ON and OFF a single RGB LED with many colors and interval of 1.5 seconds.
'''
import RPi.GPIO as GPIO
import time
import math
print GPIO.VERSION
# RGB CONFIG - Set GPIO Ports
RGB_RED = 11
RGB_BLUE = 15
RGB_GREEN = 13
RGB_CYAN = [RGB_GREEN, RGB_BLUE]
RGB_WHITE = [RGB... | true |
814ce12e75fbc7021ba08b8de5df638c24ef2486 | Python | jiang718/MusicTheory | /tuning.py | UTF-8 | 981 | 3.546875 | 4 | [] | no_license | # 12 tones
# C3 -- E5 [0..28]
# A script for generating different music tunings
import math
def printData(a, n, s):
print(s+':')
for i in range(0,n):
print(name[i % 12]+str(i / 12 + 3)+' : '+str(a[i]))
n = 29
y = pow(2, 1.0/12)
a = [0 for i in range(0, n)]
a[0] = 132.0
name = ['C', 'C#', 'D', 'D#', '... | true |
53deadd71560adce250d56aee7542695eb27c182 | Python | sandeepkumar8713/pythonapps | /10_dynamic_programming/31_minimum_paper_cut_square.py | UTF-8 | 1,982 | 4.125 | 4 | [] | no_license | # https://www.geeksforgeeks.org/paper-cut-minimum-number-squares-set-2/
# Question : Given a paper of size A x B. Task is to cut the paper into squares of any size. Find the minimum
# number of squares that can be cut from the paper.
#
# Examples:
# Input : 36 x 30
# Output : 5
# Explanation : 3 (squares of size 12x12... | true |
4ba3978593aad6c7e68dd266fe64f0a4c49cce02 | Python | kictstudent/NLP | /NLTK.py | UTF-8 | 2,175 | 4.03125 | 4 | [] | no_license | # -*- coding: utf-8 -*-
import nltk
import gzip
from nltk.book import *
#Create a function percent(word, text) that calculates how often a given word occurs in a text.
def percent(word,text):
w = text.count(word)
t = len(text)
return 100 * w / t
def words_lt_or_eq_five(text):
r... | true |
69b312170f6ffe3c9a34f676d950b7db2a009a7c | Python | cpekyaman/HackerRank | /PythonChallenge/src/easy/challenge.py | UTF-8 | 1,408 | 3.734375 | 4 | [] | no_license | from fractions import Fraction
from functools import reduce
def is_weird():
num = int(input())
if num % 2 != 0:
print("Weird")
elif num >= 2 and num <= 5:
print("Not Weird")
elif num >= 6 and num <= 20:
print("Weird")
else:
print("weird")
def arithmeti... | true |
102bcfe147c2776525314f9715ac0e1b732d4d30 | Python | kepich/Catapult | /Ellipse.py | UTF-8 | 533 | 2.859375 | 3 | [] | no_license | from abc import ABC
from pygame import draw
from Entity import Entity
class Ellipse(Entity):
def __init__(self, x, y, width, height, color, isGhost=True):
super().__init__()
self.x = x
self.y = y
self.isGhost = isGhost
self.color = color
self.width = width
... | true |
0b8c3ec5e7111630f76ecd2024e5a9c17731081e | Python | blumoestit/100DaysPython | /Day4/random_choice_from_a_list.py | UTF-8 | 341 | 4.40625 | 4 | [] | no_license | #### LISTS ####
import random
names_str = "Dor, Rem, Mif, Fas, Sol, Laa, Sid"
names = names_str.split(", ")
# Chose a person from a list randomly (1)
random_name = random.randint(0, len(names) - 1)
person = names[random_name]
print("Who will pay today: ", person)
# Chose a person from a list randomly (2)
print("Who ... | true |
d3aebde275cade7cd2655ceea895d6727074b5ed | Python | SDomarecki/WSEOptimizer | /app/database_scripts/database_preprocessor.py | UTF-8 | 4,396 | 2.609375 | 3 | [
"MIT"
] | permissive | import io
import json
import os
import shutil
from app.config import Config
from app.database_scripts.basic_info.br_basic_info_scraper import BRBasicInfoScraper
from app.database_scripts.company_details import CompanyDetails
from app.database_scripts.fundamentals.biznes_radar.br_scraper import BRScraper
from app.datab... | true |
bbdfa2dfa83621fa25f19bf65c8dc534b0c8911b | Python | push44/earthquake-damage-prediction | /src/predict.py | UTF-8 | 4,401 | 2.578125 | 3 | [] | no_license | import pandas as pd
import model_dispatcher
import pickle
from scipy import sparse
import numpy as np
pd.options.mode.chained_assignment = None
def train(X_num, X_bin, y):
# Train model
clf1 = model_dispatcher.models["decision_tree_clf"]
clf1.fit(X_num, y)
X_comb = sparse.csr_matrix(np.hstack((X_bin... | true |
6279d09da537cdc9e0e113264f7663439de1f570 | Python | beatabb/My_University | /Semester_5/SW_SmartVents/client.py | UTF-8 | 853 | 2.953125 | 3 | [
"MIT"
] | permissive | import socket
import select
import sys
import time
# Create a TCP/IP socket
sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
# Connect the socket to the port where the server is listening
server_address = ('localhost', 10000)
print('connecting to', server_address[0], 'port', server_address[1], file=sys.stderr... | true |
d749d9858147f0a7f45b3f46dfc4e579c00011f0 | Python | rlronan/ADV_ECG | /utils/create_data.py | UTF-8 | 3,385 | 2.890625 | 3 | [
"MIT"
] | permissive | import numpy as np
import torch
def create_data(raw_data = None, raw_labels = None, permutation = None, ratio = None, preprocess = None, max_length = None , augmented = None, padding = 'two'):
## Input:
# raw_data: waveform data np.ndarray
# raw_labels: label data np.ndarray
# permutaion: fixed permutat... | true |
50d982326404fb4d263282a57f78c1d715eaf196 | Python | garfieldnate/vi_experiments | /web_corpus/wiki_keywords/gen_queries.py | UTF-8 | 1,658 | 3.40625 | 3 | [
"Apache-2.0"
] | permissive | # Generate random tuples (web queries) from a word list
# Apparently the same method for generating web queries as is used in BootCat
import argparse
import sys
import random
def get_random_tuple(seeds, order=3):
picked = set()
seed = random.choice(seeds)
for _ in range(order):
while len(picked) <... | true |
ad7b9bdf5232525bf3a24c7d7dee4ca4b063e3a8 | Python | parzuko/adventOfCode2020 | /day5/binary_boarding.py | UTF-8 | 1,744 | 3.53125 | 4 | [] | no_license | def find_row(boarding_id):
low = 0
high = 127
index = 0
for move in boarding_id:
if move == "F":
high = find_mid(low, high)
if move == "B":
low = find_mid(low, high) + 1
if index == 6:
return min (low, high)
index += 1
def find... | true |
263a88941f7e4136f68393635b3080679af3b2b5 | Python | lwei140108/prcatice_django | /supermarket/simple/models.py | UTF-8 | 4,848 | 2.640625 | 3 | [] | no_license | from django.db import models
from django.contrib.auth.models import AbstractUser
# 数据库模型 每一个类代表一张数据表 变量代表表中的字段名
class User(AbstractUser):
class Meta:
verbose_name = '用户信息'
verbose_name_plural = verbose_name
nickname = models.CharField('昵称', max_length=20, null=True)
avatar = models.ImageF... | true |