seq_id stringlengths 4 11 | text stringlengths 113 2.92M | repo_name stringlengths 4 125 ⌀ | sub_path stringlengths 3 214 | file_name stringlengths 3 160 | file_ext stringclasses 18
values | file_size_in_byte int64 113 2.92M | program_lang stringclasses 1
value | lang stringclasses 93
values | doc_type stringclasses 1
value | stars int64 0 179k ⌀ | dataset stringclasses 3
values | pt stringclasses 78
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|---|---|---|---|---|---|---|---|---|---|---|---|---|
19085165501 | import math
n = int (input())
N = int (math.sqrt(n) + 1)
s = set()
for j in range (2, 35):
for i in range (2, N):
if i ** j > n:
break
if i ** j <= n:
s.add(i ** j)
print (n - len (s)) | RocketMirror/AtCoder_Practice | unex.py | unex.py | py | 247 | python | en | code | 0 | github-code | 1 |
279625670 | from PIL import Image, ImageDraw
from .hilbert import HilbertContext, hilbert_sequence
COLOR_WHITE = (255, 255, 255)
COLOR_BLACK = (0, 0, 0)
COLOR_RED = (255, 0, 0)
COLOR_GREEN = (0, 255, 0)
COLOR_BLUE = (0, 0, 255)
def draw_grid(image_draw, grid_size, square_size):
for x in range(0, grid_size, square_size):
... | jtremesay/hilbert | hilbert/drawing.py | drawing.py | py | 1,497 | python | en | code | 0 | github-code | 1 |
18152152452 | import torch.nn as nn
class YOLO_V1_Model(nn.Module):
def __init__(self,params):
self.dropout_prob= params["dropout"]
self.num_classes= params["num_class"]
super(YOLO_V1_Model,self).__init__()
# LAYER 1
self.layer1 = nn.Sequential(
nn.Conv2d(3, 64, kernel_size=... | Alibhji/python_training | 4_YOLO_1/YOLO_V1_A/package_1/YOLO_V1_Model.py | YOLO_V1_Model.py | py | 9,382 | python | en | code | 0 | github-code | 1 |
10048511394 | """
Perfect Squares
Given a positive integer n, find the least number of perfect square numbers (for example, 1, 4, 9, 16, ...) which sum to n.
Example 1:
Input: n = 12
Output: 3
Explanation: 12 = 4 + 4 + 4.
Example 2:
Input: n = 13
Output: 2
Explanation: 13 = 4 + 9.
# NOTE: IMPORTANT!
"""
import math
class Solution... | okaysidd/Interview_material | June_challenge/Perfect Squares.py | Perfect Squares.py | py | 2,076 | python | en | code | 0 | github-code | 1 |
73263358115 | import firebase_admin
from firebase_admin import credentials
from firebase_admin import db
cred = credentials.Certificate("serviceAccountKey.json")
firebase_admin.initialize_app(cred,{
"databaseURL" :"https://face-recognition-attenda-5a0b4-default-rtdb.firebaseio.com/"
}
)
ref = db.r... | pingDiablo/attendance-system | AddDataToDataBase.py | AddDataToDataBase.py | py | 2,139 | python | en | code | 0 | github-code | 1 |
39998758804 | import unittest
import math
import copy
import heppy.framework.context as context
if context.name != 'bare':
from heppy.particles.isolation import *
from heppy.particles.tlv.particle import Particle
from ROOT import TLorentzVector
@unittest.skipIf(context.name=='bare', 'ROOT not available')
class TestIso... | cbernet/heppy | heppy/particles/test_isolation.py | test_isolation.py | py | 1,758 | python | en | code | 9 | github-code | 1 |
1541036519 | # -*- coding: utf-8 -*-
"""
Grabs 5 second chunks of voltage data being sampled at
100 Hz
"""
import serial
import time
import matplotlib.pyplot as plt
import numpy as np
from datetime import datetime
import os
from scipy import fftpack
from scipy import signal
ser = serial.Serial('COM3', 9600)
time.s... | MCKersting12/EEG_DIY | python/grab_voltage_chunk.py | grab_voltage_chunk.py | py | 1,842 | python | en | code | 1 | github-code | 1 |
15153206033 | #%%
number = "6"
print(number)
# %%
int(number)
# %%
name = "Arie"
list(name)
# %%
my_list = []
# %%
my_list.append(4)
# %%
names_list = ["Arie", "James", "James", "James"]
# %%
names_list.remove("James")
# %%
4 + 4
# %%
"Arie" + "Twigt"
# %%
names_list + names_list
# %%
"Arie" + 4
# %%
4 + "Arie"
# %%
names_list
#%... | ArieTwigt/python_training_10_07_2023 | exp_3.py | exp_3.py | py | 753 | python | en | code | 0 | github-code | 1 |
11807230528 | import threading
import time
from functools import partial
from queue import Empty
import msgpack
import zmq
import infupy.backends.fresenius as fresenius
zmqhost = '127.0.0.1'
zmqport = 4201
freseniusport = 'COM6'
def stateWorker(stopevent):
context = zmq.Context()
zmqsocket = context.socket(zmq.PUB)
z... | jaj42/phystream | python/FresStream.py | FresStream.py | py | 2,719 | python | en | code | 0 | github-code | 1 |
40363479768 | __author__ = 'M_Nour'
import numpy as np
from scipy import stats
from sklearn.semi_supervised import label_propagation
from sklearn.metrics import classification_report, confusion_matrix,accuracy_score, f1_score, recall_score
from collections import Counter
# import marjan_dataset
import dataset
from imblearn... | marjan-nourollahi/PALS | My_Active_Learning.py | My_Active_Learning.py | py | 10,383 | python | en | code | 0 | github-code | 1 |
21334524678 | import tweepy
from tweepy import OAuthHandler
from tweepy import Stream
import sys
consumer_key= 'hi' # Don't have these in the final
consumer_secret= 'hi'# Don't have these in the final
access_token= 'hi'# Don't have these in the final
access_token_secret= 'hi'
authorization = tweepy.OAuthHandler(consumer_key, consu... | amcurley/ContentGen-heroku | gpt/src/cursor.py | cursor.py | py | 837 | python | en | code | 2 | github-code | 1 |
72430038754 | """Index view."""
from django.conf import settings
from django.contrib.auth.decorators import login_required
from django.core.paginator import Paginator
from django.shortcuts import redirect, render
from later42.models.article import Article
from later42.models.urls import URL
def get(request):
"""Index view."""... | dntsk/later42 | later42/views/index.py | index.py | py | 1,503 | python | en | code | 0 | github-code | 1 |
13741501932 | import cv2
import os
import os
import sys
import time
import pickle
import random
import numpy as np
os.environ["CUDA_VISIBLE_DEVICES"] = "0"
# 读取数据集 总共8类 32, 64, 128 , 256尺寸
# os opencv 训练数据集
image_size = 32
def readImage(dir):
totalImage = []
totalFlag = []
totalImageTemp = []
totalFlagTemp = []
... | tchennech/graduateDesign | preperData.py | preperData.py | py | 3,197 | python | en | code | 0 | github-code | 1 |
42370577435 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Nov 8 00:38:09 2023
@author: guangdafei
"""
import tushare as ts
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
plt.rcParams['font.sans-serif'] = ['SimHei']
token = "13bb0841c8a377221b39d9142f42bae2e2e9a897b9f692c75dd90d65"
... | akaGD-13/trove_bt2 | main.py | main.py | py | 1,493 | python | en | code | 0 | github-code | 1 |
27723210016 | from django.shortcuts import render, redirect
from .models import *
from .forms import UsuarioForm, PescadoForm, PescariaForm, CriarUsuarioForm
from .filters import OrderFilter, UsuarioFilter, PescariaFilter
from django.contrib.auth.forms import UserCreationForm
from django.contrib import messages
from django.contrib.a... | sergioroberto15/Pescaria_Django | accounts/views.py | views.py | py | 7,022 | python | en | code | 0 | github-code | 1 |
36909495555 | from django.shortcuts import render
from django.http import HttpResponse, JsonResponse
from django.template import loader
from appprueba.forms import ContactoForm
from datetime import datetime
from django.contrib import messages
from django.core.mail import send_mail
from django.conf import settings
# Create your ... | nicofe88/DjangoB | appprueba/views.py | views.py | py | 6,053 | python | es | code | 1 | github-code | 1 |
3207045152 | # -*- coding: ascii -*-
import sys, os
parent_path = os.path.split(os.path.abspath("."))[0]
if parent_path not in sys.path:
sys.path.insert(0, parent_path)
from pyspec import *
from pyspec.embedded.dbc import *
from pyspec.mockobject import *
class Behavior_DesignByContract_PrePost(object):
class Counter(DbCo... | shibu/pyspec | spec/behavior_pyspec_dbc.py | behavior_pyspec_dbc.py | py | 3,243 | python | en | code | 6 | github-code | 1 |
2628218849 | import os
import json
import csv
import datetime
import requests
from util import download_file
def main():
#愛媛県のopendata
url="https://www.pref.ehime.jp/opendata-catalog/dataset/2174/resource/7072/380008_ehime_covid19_patients.csv"
file_name=download_file(url)
#日付とその日の陽性者数をセットしていく
d... | tamitami5c/corona-ehime-data | main.py | main.py | py | 1,909 | python | ja | code | 0 | github-code | 1 |
12111496524 | #!/usr/bin/env python 3.8
# -*- coding: UTF-8 -*-
# @date: 2022.01.14 下午 11:46
# @name: demo2
# @author：Ads-Ryen
# @webside：www.prlrr.com
# @software: PyCharm
import requests
import re
url_1 = "https://www.demo.net/XiuRen/485_4.html"
response = requests.get(url=url_1)
try:
htmls = response.text.encode('ISO-8859-1... | Adsryen/ImageCrawlingManage | python/main/demo2.py | demo2.py | py | 1,797 | python | en | code | 0 | github-code | 1 |
42830860654 | import speech_recognition as sr
import pyttsx3
def recognize_speech_from_mic(recognizer, microphone):
if not isinstance(recognizer, sr.Recognizer):
raise TypeError("`recognizer` must be `Recognizer` instance")
if not isinstance(microphone, sr.Microphone):
raise TypeError("`microphone` must be... | Elysian01/AI-Chatbot | aichatbot/speech2text.py | speech2text.py | py | 1,373 | python | en | code | 7 | github-code | 1 |
892953746 | #! /usr/bin/env python
import os
from flask_script import Manager
from api import myApp, db
# NAME_APP : your app name
# default : config default in your app
api = myApp(os.getenv('NAME_APP', 'default'))
manager = Manager(api)
@manager.shell
def migration_db():
return dict(app=api, db=db)
if __name__ == '__main... | notme1001/Flask_boilerplate | server.py | server.py | py | 342 | python | en | code | 1 | github-code | 1 |
40715490552 |
import re
with open(r"D:\Advent of Code\2015\day5_input.txt", "r") as file:
# read the contents of the file into a string
strings = file.readlines()
# Got the below code from ChatGPT
def is_nice(string:str)->bool:
# matches any string that contains at least 3 vowels
return bool(re.search(r'(.*[... | avinashbasutkar/advent_of_code | 2015/day5.py | day5.py | py | 782 | python | en | code | 0 | github-code | 1 |
35013610536 | """
guitar_string.py
Models a guitar string.
"""
import math
import random
import ring_buffer
import stdarray
import stdio
import sys
# Sampling rate.
SPS = 44100
def create(frequency):
"""
Create and return a guitar string of the given frequency, using a sampling
rate given by SPS. A guitar string is... | amandakwong898/cs110-project3 | 23444902/guitar_string.py | guitar_string.py | py | 2,237 | python | en | code | 0 | github-code | 1 |
7084636942 | import pygame
import socket
from effects import *
import json
from random import randint
import sys
pygame.init()
s = socket.socket()
port = 5555
s.bind(('',port))
s.listen(5)
def main():
number_client = ""
while type(number_client) != int:
try:
number_client = int(input("Combien de joueur... | Alexander7474/Sky_Shooter_Online | server.py | server.py | py | 3,349 | python | en | code | 1 | github-code | 1 |
74692226594 | import os
import django
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'calendar_base.settings')
django.setup()
import unittest
from calendarapp import models
from calendarapp.models import Year, Month, Day
class CalendarTest(unittest.TestCase):
def year_tester(self, year_object, year, start_day, start_day_str, d... | broden-wanner/colmanegancalendar | calendar_validation_tests.py | calendar_validation_tests.py | py | 5,515 | python | en | code | 0 | github-code | 1 |
7731011757 | '''
Created on Aug 16, 2018
@author: I335484
'''
import threading
import time
class Mythread(threading.Thread):
def __init__(self, name, n1 , n2 , oper):
threading.Thread.__init__(self)
self.name = name
self.n1 = n1;
self.n2 = n2;
self.oper = oper
def run(... | murali-kotakonda/PythonProgs | PythonBasics1/threadings/MyThreadGroups.py | MyThreadGroups.py | py | 1,044 | python | en | code | 0 | github-code | 1 |
72494269475 | # coding:utf8
"""
插入排序和冒泡排序的区别在于：
插入排序的前提是：左边是有序的数列
而冒泡排序：相邻的值进行交换，一共进行n次交换
"""
def insertion_sort(nums):
for i in range(1, len(nums)):
while i:
if nums[i] < nums[i-1]:
nums[i], nums[i-1] = nums[i-1], nums[i]
i -= 1
return nums
if __name__ == "__main__":
nu... | apachecn/Interview | src/py3.x/DataStructure/InsertionSort.py | InsertionSort.py | py | 513 | python | en | code | 8,365 | github-code | 1 |
29695897405 | import scrapy
from imdbtutorial.items import MovieItem, CastItem
class ImdbSpider(scrapy.Spider):
name = "imdb"
allowed_domains = ["imdb.com"]
base_url = "https://imdb.com"
start_urls = ['https://www.imdb.com/chart/top' ,]
def parse(self, response):
# table coloums of all the movies
... | SIDDHANT9281/ImdbsCraper | imdbtutorial/imdbtutorial/spiders/imdb_spider.py | imdb_spider.py | py | 2,013 | python | en | code | 0 | github-code | 1 |
38126545610 | import mediapipe as mp
import numpy as np
import cv2
from draw_landmarks import draw_landmarks_on_image
model_path = 'pose_landmarker_full.task'
BaseOptions = mp.tasks.BaseOptions
PoseLandmarker = mp.tasks.vision.PoseLandmarker
PoseLandmarkerOptions = mp.tasks.vision.PoseLandmarkerOptions
PoseLandmarkerResult = mp.ta... | napongps/Muay-Thai-pose-similarity | Detector_video.py | Detector_video.py | py | 2,023 | python | en | code | 0 | github-code | 1 |
14458303716 | n = int(input())
s = set(map(int, input().split()))
N = int(input())
for i in range(N):
x = input().split(' ')
command = x[0]
if command == "pop":
s.pop()
elif command == "discard":
s.discard(int(x[1]))
elif command == "remove":
s.remove(int(x[1]))
total = sum(s)
print(total... | maruf1847/problem-solving-python | HackerRank/set_pop_discard_remove.py | set_pop_discard_remove.py | py | 322 | python | en | code | 0 | github-code | 1 |
26481879926 | from osgeo import ogr
import warnings
from typing import Union
from gdalhelpers.checks import layer_checks, values_checks
from gdalhelpers.classes.DEM import DEM
import losanalyst.functions.los_field_names as field_names
from losanalyst.functions import helpers
def check_los_layer(layer: ogr.Layer) -> None:
"""
... | JanCaha/los_analyst | losanalyst/functions/checks.py | checks.py | py | 7,122 | python | en | code | 0 | github-code | 1 |
71747047394 | import urllib.request
from django.http import response
from django.http.response import HttpResponse
from django.shortcuts import render
from accounts.models import Order, Customer
from humanitary_gift_shop.utils import checkout_session, random_string_generator, cookieCart
from django.views.decorators.csrf import csrf_... | Code-Institute-Submissions/humanitary | checkout/views.py | views.py | py | 2,101 | python | en | code | 0 | github-code | 1 |
21973052666 | import collections
def TransformToArray(data, reverse):
keys = list(data.keys())
for key in keys:
data[key] = collections.OrderedDict(sorted(data[key].items(),reverse=reverse))
auxData = list(data.values())
data = []
for index in range(len(auxData)):
data.append({'na... | augusto-roct/ExportModel | src/app/utils/documentToArray.py | documentToArray.py | py | 683 | python | en | code | 0 | github-code | 1 |
43749328961 | import os
cwd = os.getcwd()
# for each directory in the cwd
for name in os.listdir(cwd):
if os.path.isdir(name) and name != '.git':
# for each file in this directory
for filename in os.listdir(name):
# open the file
with open(cwd + '/' + name + '/' + filename, 'r+') as file... | tristan-morrison/airspace-fixes | cleanup.py | cleanup.py | py | 618 | python | en | code | 0 | github-code | 1 |
9233188360 | '''
Module for user
'''
import json
from src.data_store import data_store
from src.helper_functions import auth_id_to_user, check_token_valid, decode_jwt, get_email, check_valid_u_id
from src.error import InputError, AccessError
import re
def user_profile_setemail_v1(token, email):
'''
<Update the authorised us... | mannarora5/UNSW-Seams-Backend-Project | user.py | user.py | py | 5,044 | python | en | code | 0 | github-code | 1 |
22769144792 | import pandas as pd
import numpy as np
Database= "/home/ubun/Desktop/UTRApp/UTR.xlsx"
Event = "/home/ubun/Desktop/UTRApp/ML.xlsx"
eventName = "Event1"
mergeOn='Name'
totalFrom='E1'
xl_fileDB = pd.ExcelFile(Database)
DB = {sheet_name: xl_fileDB.parse(sheet_name)
for sheet_name in xl_fileDB.sheet_names}... | itchybumDev/UTRAPP | utr.py | utr.py | py | 1,916 | python | en | code | 0 | github-code | 1 |
1632399775 | from aocd.models import Puzzle
from aocd import lines
puzzle = Puzzle(year=2020, day=7)
rules = dict()
for line in lines:
line = line.replace(' bags', '').replace(' bag', '').replace('.', '')
parts = line.split(' contain ')
if parts[0] not in rules:
rules[parts[0]] = list()
inside_b... | dumoulinj/aoc | aoc/2020/day7.py | day7.py | py | 1,053 | python | en | code | 0 | github-code | 1 |
12380996944 | import pandas as pd
data = pd.read_csv('C:/Users/Rakesh/Desktop/DataScience/Lohith code/Naive Bayes/spam.csv', encoding='latin-1')
data.head()
# Drop column and name change
data = data.drop(["V3", "Unnamed: 3", "Unnamed: 4"], axis=1)
#data2 = data.drop([3,4],axis=0)
#print(data2)
data = data.rename(columns={"v1": "l... | gswathinair/SwathiWS | Naive Bayes/naive_bayes_spam_or_not.py | naive_bayes_spam_or_not.py | py | 2,342 | python | en | code | 0 | github-code | 1 |
18364519880 | #!/usr/bin/env python
"""These tests only test the aspects of the `fseq.SeqReader` that does not
involve running the the encoding as that behaviour is a complex behaviour
involving all aspects of `fseq` those tests are performed by `test_fseq`.
Those are:
SeqReader.run()
for res in SeqReader
...
... | local-minimum/fseq | fseq/tests/test_seq_reader.py | test_seq_reader.py | py | 6,334 | python | en | code | 0 | github-code | 1 |
2909345465 | import cv2
import requests
import sys
import os
from PIL import Image
import json
import numpy as np
from . import error_score
from . import face_pp
URL = 'https://api-us.faceplusplus.com/facepp/v1/face/thousandlandmark'
API_KEY = ['-D9lXEJg0Z0MMuSHKtmKxetMLqYkZp2c', 'eORdjUCXMFgW-RahCeWAzZM-huNDakIi', '5Ak... | cubalys/tmp | faceshape_carrick/shape.py | shape.py | py | 9,358 | python | en | code | 0 | github-code | 1 |
71793787233 | import re
from lib.core.settings import WAF_ATTACK_VECTORS
__product__ = "KONA Security Solutions (Akamai Technologies)"
def detect(get_page):
retval = False
for vector in WAF_ATTACK_VECTORS:
page, headers, code = get_page(get=vector)
retval = code == 501 and re.search(r"Reference #[0-9A-Fa-... | pwnieexpress/raspberry_pwn | src/pentest/sqlmap/waf/kona.py | kona.py | py | 407 | python | en | code | 1,000 | github-code | 1 |
10995743705 | """
给定一个整数数组 nums ，找出一个序列中乘积最大的连续子序列（该序列至少包含一个数）。
示例 1:
输入: [2,3,-2,4]
输出: 6
解释: 子数组 [2,3] 有最大乘积 6。
示例 2:
输入: [-2,0,-1]
输出: 0
解释: 结果不能为 2, 因为 [-2,-1] 不是子数组。
"""
class Solution(object):
def maxProduct(self, nums):
dpMax = [0] * len(nums)
dpMin = [0] * len(nums)
dp = [0] * len(nums)
... | bendanwwww/myleetcode | code/lc152.py | lc152.py | py | 884 | python | zh | code | 1 | github-code | 1 |
6561066196 | from django.http import HttpResponse
from django.shortcuts import render
import datetime
def hello(request):
try:
ua = request.META['REMOTE_ADDR']
except KeyError:
ua = 'unknown'
return HttpResponse("Hello world, you are visiting %s, %s" % (request.path, ua ))
def meta_data(request):
... | RobertFloor/mysite | mysite/views.py | views.py | py | 860 | python | en | code | 0 | github-code | 1 |
28010986220 | '''
Using a dictionary in a Restaurant menu
'''
def restaurant ():
'''
Take orders from user
'''
MENU = {'pizza' : 3.14, 'espresso' : 1.00, 'water' : 0.50}
print("Available items:")
for key, value in MENU.items():
print(f"{key:10s}{value:.2f}")
done = False
tot = 0.
while... | bgppa/python_workout | ch4_dicts_and_sets/ex14.py | ex14.py | py | 870 | python | en | code | 0 | github-code | 1 |
10124597966 | import json
import requests
if __name__ == '__main__':
url='https://oapi.dingtalk.com/robot/send?access_token=e88a5dfb80118f073ddae0534d9daa4ea0d5049917d7768b12753e2e9ef649c3'
headers = {'Content-Type': 'application/json;charset=utf-8'}
# data={
# "msgtype": "text",
# "text": {
# ... | WilliamFWG/Warehouse | python/PycharmProjects/py03/day01/dingtalk.py | dingtalk.py | py | 2,054 | python | en | code | 0 | github-code | 1 |
30467351646 | # Route Between Nodes
# Given a directed graph, design an algorithm to find out whether there is a
# route between two nodes.
from mygraph import Graph
import unittest
def is_route(G: Graph, root: int, goal: int) -> bool:
"""Returns true iff there is a route between root and goal in graph G"""
# Validate inp... | kchenx/cracking-coding-interview | chapter4/1_route_between_nodes.py | 1_route_between_nodes.py | py | 1,472 | python | en | code | 0 | github-code | 1 |
72373797155 | # -*- coding: utf-8 -*-
import tensorflow as tf
import numpy as np
import torch
import torchvision as tv
from torchvision import transforms, datasets
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import matplotlib.pyplot as plt
print(tf.__version__)
# 3 models to implement various... | hruday48/CPSC-8430 | 1a.py | 1a.py | py | 8,092 | python | en | code | 1 | github-code | 1 |
35632485387 | import math
rad = math.radians(60)
cos = math.cos(rad)
sin = math.sin(rad)
class point():
def __init__(self, x, y):
self.x = x
self.y = y
def koch_curve(a, b, n):
if n == 0:
return
s = point((2*a.x + b.x)/3, (2*a.y + b.y)/3)
t = point((a.x + 2*b.x)/3, (a.y + 2*b.y)/3)
u = point((t.x - s.... | YujinMiyoshi/0202 | divide_and_conquer_method/koch_curve.py | koch_curve.py | py | 749 | python | en | code | 0 | github-code | 1 |
4516356754 | import PIL.ImageDraw as ImageDraw
import PIL.Image as Image
import numpy as np
import random
WIDTH = 800
HEIGHT = int(3 * WIDTH / 4)
image = Image.new("RGB", (WIDTH, HEIGHT))
draw = ImageDraw.Draw(image)
# Attempt to use 2nd image to draw just the boundary by following orbit of boundary point
image_2 =... | stschaef/LoG_M | Cones.py | Cones.py | py | 4,617 | python | en | code | 1 | github-code | 1 |
11396217458 | number = int(input('Введите глубину ямы: '))
print()
depth = number - 1
while depth >= 0:
for pit in range(-number, number + 1):
if abs(pit) > depth:
print(abs(pit), end='')
elif pit == 0:
print(end='')
else:
print('.', end='')
depth -= 1
print() | GlebSmor/skillbox | Python_Basics_part_1/module-10/work-10_m10.py | work-10_m10.py | py | 335 | python | en | code | 0 | github-code | 1 |
28276419372 | import os
import re
import ast
import pandas as pd
import numpy as np
import datetime
from typing import List, Union, Any, Tuple
import httplib2
import apiclient.discovery
from oauth2client.service_account import ServiceAccountCredentials
CREDENTIALS_FILE = os.getenv("CREDENTIALS_FILE")
gsheetId = os.getenv("gsheetId"... | pchlq/plaid_to_gsheets | df_to_sheet.py | df_to_sheet.py | py | 9,717 | python | en | code | 0 | github-code | 1 |
43788559826 | import colour
from IPython.display import Video
from datetime import datetime
class ishow_config():
def __init__(self,
# file_writer_config
write_to_movie=True,
break_into_partial_movies=False,
save_last_frame=False,
save_pngs=Fa... | Kexin-Zhang-UCAS/imanim | imanim/__init__.py | __init__.py | py | 4,527 | python | en | code | 0 | github-code | 1 |
6130964866 | from heapq import heappush, heappop
def solution(jobs):
answer = 0
cur = 0
n = len(jobs)
jobs.sort()
for i in range(len(jobs)):
jobs[i][0], jobs[i][1] = jobs[i][1], jobs[i][0]
q = []
heappush(q, jobs.pop(0))
while q:
cost, at = heappop(q)
if cur < at:
... | 2020-ASW/kwoneyng-Park | 12월 3주차/디스크 컨트롤러.py | 디스크 컨트롤러.py | py | 707 | python | en | code | 0 | github-code | 1 |
25258282499 | from __future__ import absolute_import, division, unicode_literals
import logging
import uuid
from flask_restful.reqparse import RequestParser
from sqlalchemy.orm import subqueryload_all
from changes.utils.diff_parser import DiffParser
from werkzeug.datastructures import FileStorage
from changes.api.base import APIV... | harrisonfeng/changes | changes/api/phabricator_notify_diff.py | phabricator_notify_diff.py | py | 6,390 | python | en | code | null | github-code | 1 |
15848455280 | import pyautogui, time
amount = input("How many comments to do you want to make?")
amount = int(amount)
comment = input("What do you want to comment?")
print("The program is starting in 5 seconds.")
time.sleep(5)
pyautogui.scroll(100)
pyautogui.scroll(-7)
time.sleep(2)
for i in range(amount):
pyautogui.moveTo... | IAMACAR10/yt-spam | yt-spam.py | yt-spam.py | py | 455 | python | en | code | 0 | github-code | 1 |
20412505556 |
import game_functions
# Main class used give attributes to all characters
class Creature:
def __init__(self):
self.name = ""
self.initiative = 0
self.initiative_dice_sum = 0
self.resistance = 0
self.attack = 0
self.agility = 0
self.is_alive = True
def ... | SakariJawo/DungeonMaster | classes.py | classes.py | py | 3,687 | python | en | code | 0 | github-code | 1 |
38701721413 | '''
A simple python calculation question generator
usg: python calculator.py -d "+,-" -c 3 -l 200 -t 30
usg: python calculator.py --op_type="+,-" --op_count=3 --limit=20 --total=30
'''
import sys, getopt, random, json
def auto_cal_generator(limit=100, op_count=1, op_type=["+"], total=100):
res = {}
if limit>99... | jessychen1984/MiniProj | src/api/miniproj/calculator.py | calculator.py | py | 1,634 | python | en | code | 0 | github-code | 1 |
70735149474 | import os
import warnings
from setuptools import setup, find_packages
def read(fname):
with open(os.path.join(os.path.dirname(__file__), fname), "rb") as f:
reqs = f.read().decode("utf-8")
return reqs
from pkg_resources import require, DistributionNotFound, parse_version
def check_provided(distributi... | bouralab/Prop3D | setup.py | setup.py | py | 3,734 | python | en | code | 16 | github-code | 1 |
2852118483 | from django.urls import path
from django.contrib.auth import views as auth_views
from . import views
urlpatterns = [
path('', views.index, name='index'),
# path('login/', auth_views.LoginView.as_view(template_name='pybo/login.html'), name='login'),
path('logout/', auth_views.LogoutView.as_view(), name='log... | ischar/pillMe2 | pybo/urls.py | urls.py | py | 782 | python | en | code | 0 | github-code | 1 |
20165679405 | #encoding: UTF-8
# Autor: Daniel Sahuer
# Calcula el valor total de boletos para asientos con costos diferentes con respecto a su clase
def calcularPago(asientosA,asientosB, asientosC): #Calcula el pago total sumando el precio de cada asiento
A = asientosA * 400
B = asientosB * 250
C = asientosC * 135
... | sahuer/Tarea_03 | asientos.py | asientos.py | py | 727 | python | es | code | null | github-code | 1 |
71483143075 | from django.utils.translation import gettext_lazy
try:
from pretix.base.plugins import PluginConfig
except ImportError:
raise RuntimeError("Please use pretix 2.7 or above to run this plugin!")
__version__ = "1.0.1"
class PluginApp(PluginConfig):
name = "pretix_batch_emailer"
verbose_name = "Batch Em... | bockstaller/pretix-batch-emailer | pretix_batch_emailer/__init__.py | __init__.py | py | 789 | python | en | code | 0 | github-code | 1 |
32874388032 | """
Link: https://www.spoj.com/problems/CSTREET/
Time complexity: O(M * Log(N))
Space complexity: O(M + N)
Author: Nguyen Duc Hieu
"""
import heapq
INF = int(1e10)
def prim(graph, N):
dist = [INF] * N
visited = [False] * N
dist[0] = 0
min_heap = [(0, 0)]
while min_heap:
weight, source = h... | hieuducnguyen/BigOCourse | 15_minimun_spanning_tree/3_Cobbled_streets.py | 3_Cobbled_streets.py | py | 1,055 | python | en | code | 2 | github-code | 1 |
43195269741 | def is_chinese(uchar):
if u'\u4e00' <= uchar <= u'\u9fa5':
return True
else:
return False
def format_str(raw_str):
content_str = ''
for i in raw_str:
if is_chinese(i):
content_str = content_str + i
return content_str
def get_processed_text(content):
chine... | ggjyp/yw_text_claasification | utils/preprocess.py | preprocess.py | py | 431 | python | en | code | 2 | github-code | 1 |
12934808687 | from typing import Callable, Tuple, Union
from scipy.integrate import quad # type: ignore
from .context import Context
from .tree import BaseValue, Resolveable
from .utils import aslist
quad: Callable[..., Tuple[float, float]]
class Integral(Resolveable):
def __init__(
self,
integrand: Callabl... | Telofy/SquigglyPy | squigglypy/resolvers.py | resolvers.py | py | 986 | python | en | code | 2 | github-code | 1 |
73868708515 | datain = open("bendin.txt" , "r")
dataout = open("bendout.txt" , "w")
#Read and convert line with multiple numbers to integer type using list comprehension
x1, y1, x2, y2 = [int(x) for x in datain.readline().split()]
x3, y3, x4, y4 = [int(x) for x in datain.readline().split()]
if x1 < x3:
hoverlap = max(x2-x3, 0)... | Deanang/AIOTrainingHub | AIOPastYearQuestions/2021/bend.py | bend.py | py | 640 | python | en | code | 1 | github-code | 1 |
5195633034 | import os
with open('phi/version.txt', 'r') as f:
version = f.read()
with open('phi/README-template.md', 'r') as f:
readme = f.read().format(version)
with open('README.md', 'w') as f:
f.write(readme)
| cgarciae/phi | tasks/create_readme.py | create_readme.py | py | 218 | python | en | code | 130 | github-code | 1 |
24328709873 | """Read NestedSamples from MultiNest chains."""
import os
import numpy as np
from anesthetic.read.getdist import read_paramnames
from anesthetic.samples import NestedSamples
def read_multinest(root, *args, **kwargs):
"""Read MultiNest chain files.
Parameters
----------
root : str
root name fo... | handley-lab/anesthetic | anesthetic/read/multinest.py | multinest.py | py | 2,142 | python | en | code | 51 | github-code | 1 |
71492290593 | import os
import requests
import csv
import tqdm
def download_img(url, name):
if not os.path.exists("./images/"):
os.mkdir("./images/")
name = name.replace("/", "_").replace('"', '“')
if os.path.exists("./images/" + name + '.jpg'):
return
req = requests.get(url=url)
try:
wi... | xucong053/arsenal_spider | img_download.py | img_download.py | py | 747 | python | en | code | 0 | github-code | 1 |
2037403562 | # -*- coding: UTF-8 -*-
import tensorflow as tf
import re
def fc_layer(bottom, neurons,name,activation=None,reTrain=False):
with tf.variable_scope(name):
shape = bottom.get_shape().as_list()
dim = 1
for d in shape[1:]:
dim *= d
x = tf.reshape(bottom, [-1, dim])
... | yeahydq/DYDL | tutorials/custom_estimator/trainer/tfutil.py | tfutil.py | py | 1,392 | python | en | code | 0 | github-code | 1 |
29914946798 | from pico2d import *
open_canvas()
grass = load_image('grass.png')
character = load_image('run_animation.png')
x = 0
frame = 0
# 여기를 채우세요.
while (x < 800):
clear_canvas()
grass.draw(400, 30)
character.clip_draw(frame * 100, 0, 100, 100, x, 90)
update_canvas()
frame = (frame + 1) % 8
x += 5
... | TaeRimUm/2021184020_2DGP_DRILL | Lecture05_Animation/character_runs.py | character_runs.py | py | 381 | python | en | code | 1 | github-code | 1 |
10722851178 | import sys
from flask import Flask, render_template, request, flash, url_for, redirect
from config import SQLITE_DATABASE_NAME
from model import db, db_init, Post
app = Flask(__name__)
app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///' + SQLITE_DATABASE_NAME
app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] ... | Tozarin/Personal-site | main.py | main.py | py | 1,878 | python | en | code | 0 | github-code | 1 |
8997009046 | from flask import request, Flask, jsonify
from search.Searchengine import Searchengine
from flask_cors import *
app = Flask(__name__)
CORS(app, supports_credentials=True)
searchengine = Searchengine()
@app.route("/")
def main():
return "hello world"
@app.route("/search", methods=["GET","POST"])
def search():... | wp931120/Seach_engine | web/app.py | app.py | py | 595 | python | en | code | 6 | github-code | 1 |
4444628072 | from rasa.core.policies import KerasPolicy, MemoizationPolicy, FallbackPolicy, FormPolicy, MappingPolicy
from rasa.core.agent import Agent
import asyncio
async def main():
# there is a threshold for the NLU predictions as well as the action predictions
agent = Agent('domain.yml', policies=[KerasPolicy(epochs=... | jupiterbak/RASA | DialogEngineService/train_core.py | train_core.py | py | 1,017 | python | en | code | 2 | github-code | 1 |
41035339624 | import importlib
import itertools
import random
from sqlalchemy import and_
from sqlalchemy import Boolean
from sqlalchemy import case
from sqlalchemy import cast
from sqlalchemy import Column
from sqlalchemy import column
from sqlalchemy import dialects
from sqlalchemy import exists
from sqlalchemy import extract
fro... | sqlalchemy/sqlalchemy | test/sql/test_compare.py | test_compare.py | py | 66,864 | python | en | code | 8,024 | github-code | 1 |
40365150163 | """
created by qiushye on 2018.10.23
python version >= 3
"""
import time
import numpy as np
from .imputation import imputation
from sktensor.dtensor import dtensor
class HaLRTC(imputation):
def __init__(self, miss_data, W, alpha, lou, threshold, max_iter=100):
if len(alpha) != 3:
raise Runtim... | qiushye/ITS_217 | impute/compt/halrtc.py | halrtc.py | py | 1,815 | python | en | code | 0 | github-code | 1 |
2554886757 |
from flask import Flask
app = Flask(__name__)
@app.route("/")
def home():
name = 'Lisa'
city_names = ['Paris', 'London', 'Rome', 'Tahiti']
city = ""
for i in city_names:
city += f'<li>{i}</li>'
return f'''
<html>
<body>
<h1>Welcome {name}!</h... | AroraPranav/Hw3_flask | home.py | home.py | py | 526 | python | en | code | 0 | github-code | 1 |
11296103632 | from rest_framework import generics, status
from rest_framework.response import Response
from rest_framework.permissions import IsAuthenticated
from API.serializers import (
ContainerSerializer,
ContainerCreateOnlySerializer
)
from API.models import Container, Device
from django.db.models import Q
class Conta... | AmbientELab-Group/Medbox-server | app/API/views/container.py | container.py | py | 6,622 | python | en | code | 0 | github-code | 1 |
18771955258 | import csv
import timeit
class Item:
pay_rate = 0.2 # pay rate after 20% discount
all_items = []
# class attributes
def __init__(self, name: str, price: int or float, qty=0):
# validation to the received arguments
assert price > 0, f'Price {price} is not valid'
assert qty >=... | MyodsOnline/python_files | JimShapedCoding/main.py | main.py | py | 2,350 | python | en | code | 0 | github-code | 1 |
37615405353 | def solution(id_list, report, k):
answer = [0] * len(id_list)
reportedDict = {id:[] for id in id_list}
report = list(set(report))
for i in report:
reporting, reported = i.split()
reportedDict[reported].append(reporting)
for key, value in reportedDict.items():
if len(value) >... | H2-won/Programmers | src/LEVEL1/신고 결과 받기.py | 신고 결과 받기.py | py | 425 | python | en | code | 0 | github-code | 1 |
29144802486 | from customer import Customer
def organize_customer_data(customer_file_path):
"""Read customer file and return list of customer objects.
Read file at customer_file_path and create a customer object containing
customer information.
"""
#create an empty list called customers
customers = []... | Geeksten/melon_raffle | customer_info.py | customer_info.py | py | 964 | python | en | code | 0 | github-code | 1 |
31223384313 | '''Crie um pg que leia a idade de 7 pessoas. no final mostre quantas pessoas são maiores de idade e quantas são menores.'''
from datetime import date
maior = 0
menor = 0
ano = date.today().year
for lista in range(1,8):
nasc = int(input('Digite seu ano de nascimento da {}ª pessoa: '.format(lista)))
if ano - nasc... | FrancisPaull/CursoemvideoPython | exercicios/ex054 repetição for grupo da maioridade.py | ex054 repetição for grupo da maioridade.py | py | 459 | python | pt | code | 0 | github-code | 1 |
35414759397 | from image_quality_assessment import MSE, PSNR, SSIM, LPIPS_Score
import os
import csv
from PIL import Image
from utils import build_iqa_model
import torchvision.transforms as T
def save_metrics(hr, sr, psnr_model, ssim_model, lpips_model, device):
hr_tensor = T.ToTensor()(hr)
sr_tensor = T.ToTensor()(sr)
... | kimjy-st/AdaptiveSRGAN | github/save_metrics.py | save_metrics.py | py | 3,030 | python | en | code | 0 | github-code | 1 |
2144088888 | import numpy as np
import matplotlib.pyplot as plt
from helpers import *
def svm_train_brute(training_data):
# convert data to np array just in case
training_data = np.asarray(training_data)
positive = training_data[training_data[:, 2] == 1]
negative = training_data[training_data[:, 2] == -... | quanghuy2002/huyyeutrang | svm2.py | svm2.py | py | 6,074 | python | en | code | 1 | github-code | 1 |
39539040497 | # coding: utf-8
# fabric code deploy tool
from fabric.api import *
from fabric.colors import *
import time
env.user = 'root'
env.hosts = ['192.168.103.155','192.168.103.156']
# 密码略去
env.password = ''
env.project_name = 'Server'
env.project_code_source = '/Users/suboyang/Documents/repository/fengji/Server/'
env.proj... | kivensu/learnpython3 | SmartTools/deploycode.py | deploycode.py | py | 3,082 | python | en | code | 0 | github-code | 1 |
15780180474 | def fact(num):
result = 1
for i in range(1, num+1):
result = result*i
return result
def main():
number = 5
print(f"{number}!은 {fact(number)}입니다.")
if __name__ == "__main__":
main()
| pinkocto/AS2023 | hw2/lec05_factorial.py | lec05_factorial.py | py | 224 | python | en | code | 0 | github-code | 1 |
12297714547 | import json
import csv
import os
import boto3
import gspread
from oauth2client.service_account import ServiceAccountCredentials
def create_keyfile_dict():
variables_keys = {
"type": os.environ.get("TYPE"),
"project_id": os.environ.get("PROJECT_ID"),
"private_key_id": os.environ.get("PRIVATE_KEY_ID")... | tbarringer/Google-Sheets-to-Redshift | GoogleSheets-to-S3_Lambda/lambda_function.py | lambda_function.py | py | 1,566 | python | en | code | 1 | github-code | 1 |
25562295539 | import csv
import random
from os import path
from zipfile import ZipFile
from lxml import etree
ZIPS_DIR = path.join(path.realpath('.'), 'race-zips')
zips_num = 50
xmls_per_zip = 100
def test_csv1():
total_ids_expected = zips_num * xmls_per_zip
csv1_realpath = path.join(ZIPS_DIR, 'csv1.csv')
ids = set()... | jackalissimo/multicore | race_csv/tests/test_race_csv.py | test_race_csv.py | py | 1,893 | python | en | code | 0 | github-code | 1 |
9213758492 | import numpy as np
import pandas as pd
from imblearn.base import SamplerMixin
from imblearn.pipeline import make_pipeline
import collections
import copy
import random
# parent submodules
import os, sys
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
from preprocessors import IndicatorTr... | mazmazz/SkepticSystem | python/skepticsys/preprocessors/multi_sampler.py | multi_sampler.py | py | 7,860 | python | en | code | 1 | github-code | 1 |
16708399772 | from django.contrib import admin
from django.urls import path
from . import views
urlpatterns = [
path('' , views.register),
path('show', views.show),
path('send', views.send),
path('delete', views.delete),
path('edit', views.edit),
path('RecordEdited', views.RecordEdited)
] | priyanka51195/student-management | management/urls.py | urls.py | py | 300 | python | en | code | 0 | github-code | 1 |
43708317307 | from hello_world import app as hello_world_app
import hello_world
import pytest
@pytest.fixture
def client():
with hello_world_app.test_client() as client:
yield client
def test_service_reply_to_root_path(client):
response = client.get("/")
assert 'world' in response.data.decode(response.charset... | JustM57/MADE_python_hw | test_flask.py | test_flask.py | py | 2,146 | python | en | code | 0 | github-code | 1 |
71988756194 | # -*- coding: utf-8 -*-
"""
Created on Wed Oct 10 13:13:23 2018
@author: EdvanSoares
"""
import csv
import random
import math
from sklearn.model_selection import KFold
from numpy import array
from random import randrange
def loadCsv(filename):
lines = csv.reader(open(filename, "rt"))
dataset = list(lines)... | ajffdelgado/projeto1_AM | nb.py | nb.py | py | 4,053 | python | en | code | 0 | github-code | 1 |
40379496020 | import re
def matchList( ilist: list, data: str ):
"""
:param ilist:
:param data:
:return:
"""
for item in ilist:
if re.match( item, data, re.IGNORECASE ) is not None:
return True
return False
| pe2mbs/m3u_serializer | m3u_serializer/util.py | util.py | py | 245 | python | en | code | 0 | github-code | 1 |
34504054424 | from unittest import mock
from fastapi.responses import Response
from fastapi.testclient import TestClient
from apps.main import app
client = TestClient(app)
def test_read_main_success():
response = client.get("/")
assert response.status_code == 200
def test_read_main_template_not_found():
with mock.... | Alexvjunior/challenge | tests/test_translator_view.py | test_translator_view.py | py | 2,950 | python | en | code | 0 | github-code | 1 |
72930184995 | import numpy as np
import torch
import random
from typing import Optional, Tuple
def fourier_shift(u: torch.Tensor, eps: float=0., dim: int=-1, order: int=0) -> torch.Tensor:
"""
Shift in Fourier space.
Args:
u (torch.Tensor): input tensor, usually of shape [batch, t, x]
eps (float): shift... | brandstetter-johannes/LPSDA | common/augmentation.py | augmentation.py | py | 11,079 | python | en | code | 35 | github-code | 1 |
15219280424 | import webbrowser
import re
import requests
from bs4 import BeautifulSoup
from urllib import request
def list_url(sorted_url):
urls = []
for a in sorted_url:
if a.has_attr('href'):
urls.append(a['href'])
return urls
def main():
plugin = input("Podaj nazwę wtyczki: ")
headers ... | JobbyJabber/WordPress-scraper | wp_scraper_v0.2.py | wp_scraper_v0.2.py | py | 1,337 | python | en | code | 0 | github-code | 1 |
4620091398 | from flask import Blueprint, render_template, session, redirect, request
from app.db import mysql
from app.Main import allevent_len
import requests
from serpapi import GoogleSearch
user = Blueprint("User", __name__, url_prefix="/user",
template_folder="templates")
@user.route('/')
def home():
if... | Rbcoder1/EMS_WEB | app/User/views.py | views.py | py | 3,436 | python | en | code | 2 | github-code | 1 |
25735628289 |
def find_set(x):
while x != group[x]:
x = group[x]
return x
def union(n1, n2):
root1 = find_set(n1)
root2 = find_set(n2)
group[root2] = root1
for tc in range(1, int(input())+1):
N, M = map(int, input().split()) # N: 마을 사람 수 / M: 관계 수
group = [num for num in range(N+1)]
f... | KSoonYo/SW_Expert_Arcademy_problem | 7465_무리개수/s1.py | s1.py | py | 685 | python | ko | code | 0 | github-code | 1 |
3408655101 | import requests
from datetime import datetime
import smtplib
import time
MY_EMAIL = "XXXXXXXXXXX@gmail.com"
MY_PASSWORD = "XXXXXXXXXXXXX"
MY_LAT = 38.548330
MY_LONG = -90.326280
def is_iss_overhead():
response = requests.get(url="http://api.open-notify.org/iss-now.json")
response.raise_for_status()
data = respons... | christinichka/iss_overhead | main.py | main.py | py | 1,805 | python | en | code | 0 | github-code | 1 |
71968485153 | #!/usr/bin/env python3
""" Li battery discharge rate logger
--------------------------------
This project discharges a Li battery through a resistive load and logs the
voltage and current at a set interval to a CSV file. You can set the battery
voltage which the test ends at. Start with the battery full... | Footleg/power-monitoring | li-cell_logger.py | li-cell_logger.py | py | 4,339 | python | en | code | 0 | github-code | 1 |
41874767490 | import tensorflow as tf
print(f"tensorflow: {tf.__version__}")
print("configurando gpu")
gpus = tf.config.experimental.list_physical_devices('GPU')
#for gpu in gpus:
# tf.config.experimental.set_memory_growth(gpu, True)
#tf.config.experimental.set_virtual_device_configuration(gpus[0], [tf.config.experimental.Virtua... | rob-nn/dlp | ch02/mnist.py | mnist.py | py | 1,300 | python | en | code | 0 | github-code | 1 |
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