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values | file_size_in_byte int64 113 2.92M | program_lang stringclasses 1
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33385097559 | import threading
import uuid
import json
import webbrowser
import requests
from api_clients import thangs_login_client
from time import sleep
from login_token_cache import set_token, get_bearer_json_file_location, get_api_token
class ThangsLoginService:
__GRANT_CHECK_INTERVAL_SECONDS = 0.5 # 500 milliseconds
... | physna/thangs-blender-addon | services/thangs_login_service.py | thangs_login_service.py | py | 1,762 | python | en | code | 30 | github-code | 90 |
31085359910 | import numpy as np
import h5py
import os
from sklearn.metrics import roc_auc_score, roc_curve, auc, precision_recall_curve, average_precision_score
from sklearn.metrics import mean_squared_error
from sklearn.metrics import accuracy_score
import torch
from utils import *
from model_convtrans import *
torch.cuda.empty_c... | RunzeSu/DeepCAT | results.py | results.py | py | 2,189 | python | en | code | 0 | github-code | 90 |
71866708777 | Import('env', 'lib')
env = env.Clone(
LIBS=['corrective', lib.name],
LIBPATH=['..', '.'],
RPATH=lib.dir.abspath
)
File([
'Candidates.h',
'Complex.h',
'Conjunction.h',
'Disjunction.h',
'Foci.h',
'Outcome.h',
'Predicate.h',
'Predicates.h',
... | liblit/cbiexp | src/corrective-ranking/SConscript | SConscript | 775 | python | en | code | 5 | github-code | 90 | |
18259353989 | import collections
import sys
S=collections.deque(input())
Q=int(input())
r=0
for _ in range(Q):
fs=next(sys.stdin).split()
T=int(fs[0])
if T==1:
r^=1
else:
F,C=int(fs[1])-1,fs[2]
if F==r:
S.appendleft(C)
else:
S.append(C)
ans=''.join(reversed(S... | Aasthaengg/IBMdataset | Python_codes/p02756/s798998770.py | s798998770.py | py | 346 | python | en | code | 0 | github-code | 90 |
18314593139 | import sys
from collections import defaultdict
#+++++
def main():
n, k = map(int, input().split())
aal = list(map(int, input().split()))
sss = [0]*(n+1)
si=0
for i, a in enumerate(aal):
si+=a-1
sss[i+1]=si%k
count=0
mkl_dict=defaultdict(lambda :0)
for j in range(n+1):
sj=sss[j]
if j-k >= 0:
m... | Aasthaengg/IBMdataset | Python_codes/p02851/s277692939.py | s277692939.py | py | 659 | python | en | code | 0 | github-code | 90 |
24178575167 | import logging
import tensorflow as tf
import sys
from graphs.builder import create_models, load_models
from statistical.ae_losses import expected_loglikelihood_with_lower_bound
from utils.reporting.logging import log_message
def create_graph(name, variables_params, restore=None):
variables_names =... | kkahloots/Generative_Models | graphs/basics/AE_graph.py | AE_graph.py | py | 2,758 | python | en | code | 1 | github-code | 90 |
27613968784 | import turtle
screen = turtle.Screen()
screen.setup(500,500)
screen.tracer(0)
screen.addshape("heart 02.gif") # register the image with the screen as a shape
don = turtle.Turtle()
screen1=turtle.clone()
screen2=turtle.clone()
screen3=turtle.clone()
don.speed(200)
turtle.bgcolor("black")
don.shape("heart 02.gif")
sc... | Farhan-Malik/python-turtle-moving-heart | main.py | main.py | py | 826 | python | en | code | 0 | github-code | 90 |
7733001929 | from cmath import log
from pycardano import *
import json
import sys
from dataclasses import dataclass, field
from typing import Dict, List
t = True
f = False
dev = f
class Methods:
def l(self, l, d, s): # pretty and informative logging
if not dev:
return
dtype = type(d)
try:... | 34r7h/cardano-python-js | python/tx.py | tx.py | py | 7,227 | python | en | code | 0 | github-code | 90 |
34130574570 | """Open directory of current file in explorer
Usage:
1. Store in $sublime/Packages/User
2. Map to hotkey (e.g. F11)
3. Press hotkey to open explorer
Tested under Windows 7, 8 and Ubuntu 12.01.
"""
import os
import platform
import subprocess
import sublime_plugin
mapping = {'Windows': 'explorer',
... | mottosso/sublime | plugins/open_in_explorer.py | open_in_explorer.py | py | 685 | python | en | code | 0 | github-code | 90 |
18233965769 | def to_fizzbuzz(number):
if number % 15 == 0:
return 'FizzBuzz'
if number % 3 == 0:
return 'Fizz'
if number % 5 == 0:
return 'Buzz'
else:
return str(number)
# return i
def main():
N = int(input())
# this list concludes "FizzBuzz", "Fizz" or "Buzz"
... | Aasthaengg/IBMdataset | Python_codes/p02712/s328907691.py | s328907691.py | py | 679 | python | en | code | 0 | github-code | 90 |
32275633958 | from random import randint
from time import sleep
from os import system
def Upup(Up):
if Up == 'X':
return 0
elif Up == 'K':
return 6
elif Up == 'Q':
return 5
elif Up == 'J':
return 4
elif Up == '10':
return 3
elif Up == '9':
return 2
elif Up == '8':
return 1
def Downdown(Do... | Castlestar4/Sevens | theGame.py | theGame.py | py | 23,464 | python | en | code | 0 | github-code | 90 |
18106995079 | N = int(input())
A = [int(A) for A in input().split()]
cnt = 0
for i in range(N):
A_min = i
for j in range(i, N):
if A[A_min] > A[j]:
A_min = j
if i != A_min:
t = A[i]
A[i] = A[A_min]
A[A_min] = t
cnt += 1
for i in range(N):
if i == N - 1:
pri... | Aasthaengg/IBMdataset | Python_codes/p02260/s990677395.py | s990677395.py | py | 392 | python | en | code | 0 | github-code | 90 |
43548579142 | import pygame
from pygame.locals import *
import os
import sys
from RadioButton import RadioGroup
from CheckBox import CheckBox
from startMenu import Start
class Options(object):
def __init__(self, screen, infoScreen, font_op, y_offset):
self.screen = screen
self.infoScreen = infoScreen
se... | pmcoxson/CSC450GROUP1 | optionsMenu.py | optionsMenu.py | py | 9,666 | python | en | code | null | github-code | 90 |
43005035055 | from discord.ext import commands
from discord.ext.commands.errors import CommandNotFound
class CommandsEvents(commands.Cog):
def __init__(self, bot):
self.bot = bot
@commands.Cog.listener("on_command")
async def on_command_event(self, ctx):
self.bot.logger.info(f'{ctx.author} used command... | Sly0511/MineMineNoMiBot | modules/events/commands.py | commands.py | py | 715 | python | en | code | 0 | github-code | 90 |
7808760394 | # -*- coding: utf-8 -*-
__author__ = 'Anders Mølmen Høst'
__email__ = 'anderhos@nmbu.no'
"""
From
Book: A Primer on Scientific Programming with Python
Author: Hans Petter Langtangen
Editition: 5th Edition
Year: 2016
Exercise 2.20: Explore what zero can be on a computer
"""
"""
1: Storing 1.0 as a value for eps... | anderhos/Python-exercises | src/machine_zero.py | machine_zero.py | py | 749 | python | en | code | 0 | github-code | 90 |
20616259355 | import logging
import os
import sqlite3
from datetime import date, datetime
logger = logging.getLogger("xivstrategy.data_store")
class DataStore:
def __init__(self):
databaseFilepath = os.path.dirname(os.path.realpath(__file__)) + '/' + 'data/mydb'
self.db = sqlite3.connect(databaseFilepath, detec... | ShadoFlameX/XIV-Strategy | data_store.py | data_store.py | py | 2,193 | python | en | code | 0 | github-code | 90 |
4717377427 | n, m = map(int, input().split())
nums = [0] * (n + m + 1)
ans = []
for i in range(1, n + 1):
for j in range(1, m + 1):
nums[i + j] += 1
max_val = max(nums)
for i, v in enumerate(nums):
if v == max_val:
ans.append(str(i))
print(' '.join(ans))
| ambosing/PlayGround | Python/Problem Solving/ETC_algorithm_problem/2-5-2 polygon.py | 2-5-2 polygon.py | py | 267 | python | en | code | 0 | github-code | 90 |
69799471016 | """Generic functions for projects in google colab.
This file contains functions to load/write files in various formats.
Covered formats:
- json
- jsonl
- txt
"""
from typing import List, Dict, Any, Union
import matplotlib.pyplot as plt
import json
import os
def load_json_file(
filepath: str
) -> List... | LucaDeGrandis/utils | scripts/generic_functions.py | generic_functions.py | py | 4,159 | python | en | code | 0 | github-code | 90 |
35729983925 | from pymongo import MongoClient
import datetime
client = MongoClient()
db = client.test
posts = db.posts
post = {"author": "Mike",
"text": "My first blog post!",
"tags": ["mongodb", "python", "pymongo"],
"date": datetime.datetime.now()}
return_post = posts.insert_one(post)
print(return_post.... | Jacob-xyb/Web_Note | 02_Web数据库/001_MongoDB/003_PyMongo/01_Tutorial/005_Inserting_a_Document.py | 005_Inserting_a_Document.py | py | 367 | python | en | code | 0 | github-code | 90 |
19838591038 | import torch
def encode(t: torch.Tensor, dim: int = 10):
"""Encode a tensor with a sinusoidal positional encoding.
Args:
t: tensor to encode
dim: dimension of the encoding
Returns:
encoded tensor
"""
# if dim % 2 != 0:
# raise ValueError("dim must be even")
t_di... | ShreyanshDarshan/NeuralPixels | positional_encoding.py | positional_encoding.py | py | 709 | python | en | code | 0 | github-code | 90 |
22258733012 | def solution(files, loss):
answer = []
files_dict = {}
temp = {}
for i, v in enumerate(files):
files_dict[i + 1] = v
temp[i + 1] = 0
filecnt = 0
index = 1
cnt = -1
keyindex = 0
tempkeys = list(temp.keys())
while temp:
cnt = cnt + 1
filecnt = filec... | JisungKim94/CodingTest | Programmers/SW인증시험.py | SW인증시험.py | py | 1,511 | python | en | code | 0 | github-code | 90 |
34776187866 | from dataclasses import dataclass
from datetime import date
from typing import Dict, Generator, List, Tuple
from or_shifty.person import Person
from or_shifty.shift import Shift
Idx = Tuple[int, int, int, int]
PersonShift = int
@dataclass(frozen=True)
class IndexEntry:
idx: Idx
person: Person
person_shi... | Dalamar42/or-shifty | or_shifty/indexer.py | indexer.py | py | 3,757 | python | en | code | 11 | github-code | 90 |
24623030501 | import os
import time
import asyncio
from typing import Dict, Mapping, Iterable, Optional, Any, Union, cast
import aioredis
import aioredis.util
import redis
from dragonchain import logger
_log = logger.get_logger()
REDIS_ENDPOINT = os.environ["REDIS_ENDPOINT"]
LRU_REDIS_ENDPOINT = os.environ["LRU_REDIS_ENDPOINT"]
... | dragonchain/dragonchain | dragonchain/lib/database/redis.py | redis.py | py | 14,227 | python | en | code | 701 | github-code | 90 |
9587444970 | import torch
import torch.nn as nn
import numpy as np
from utils.utils import AverageMeter, ProgressMeter
from torch.utils.tensorboard import SummaryWriter
writer = SummaryWriter()
xent = nn.CrossEntropyLoss()
def simclr_train(train_loader, model, criterion, optimizer, epoch, pos_dataloader):
"""
Train accordi... | tianyu0207/CCD | colon_local/utils/train_utils.py | train_utils.py | py | 2,707 | python | en | code | 41 | github-code | 90 |
71832941096 | from tkinter import *
from pathlib import Path
from tkinter import Tk, Canvas, Entry, Text, Button, PhotoImage
OUTPUT_PATH = Path(__file__).parent
ASSETS_PATH = OUTPUT_PATH / Path("./assets")
def relative_to_assets(path: str) -> Path:
return ASSETS_PATH / Path(path)
window = Tk()
window.geometry("568x382")
w... | guneetsura/converterapppy | index.py | index.py | py | 2,781 | python | en | code | 0 | github-code | 90 |
27704172558 | import flask
import time
import socket
import subprocess
h_name = socket.gethostname()
IP_address = socket.gethostbyname(h_name)
app = flask.Flask(__name__)
@app.route('/')
def index():
Time = time.strftime("%H:%M:%S")
client_port = str(flask.request.environ.get('REMOTE_PORT'))
hostname = h_name
host... | Parth-Works/Automation-with-Ansible | application2.py | application2.py | py | 764 | python | en | code | 0 | github-code | 90 |
73501447657 | import sys
input = sys.stdin.readline
n, m = map(int, input().rstrip().split())
graph = [[] for _ in range(n)]
for i in range(n) :
instr = input().rstrip()
for c in instr:
graph[i].append(int(c))
dx = [1, 0, -1, 0]
dy = [0, 1, 0 ,-1]
def dfs(n, m, graph, stack) :
while stack :
x, y = stack.pop()
graph[y][... | Err0rCode7/algorithm | baekjoon/bfs_dfs/음료수얼려먹기.py | 음료수얼려먹기.py | py | 792 | python | en | code | 0 | github-code | 90 |
74330171176 | import pandas as pd
def preprocess(data_file, labels_file=None):
features = ['reanalysis_specific_humidity_g_per_kg',
'reanalysis_dew_point_temp_k',
'station_avg_temp_c', 'precipitation_amt_mm', 'week_start_date']
df = pd.read_csv(data_file, index_col=[0, 1, 2])
df['statio... | HimashiNethinikaRodrigo/DengiAI | code/model_2_preprocess.py | model_2_preprocess.py | py | 1,444 | python | en | code | 0 | github-code | 90 |
41921443877 | import win32com.client
import datetime as dt
import tkinter as tk
from tkinter import filedialog, simpledialog, messagebox
import os
import sys
app_window = tk.Tk()
app_window.withdraw()
senders_count = 1
senders = {}
if os.path.isfile("DBYD_asset_owners.csv"):
with open("DBYD_asset_owners.csv") as f... | luke-twigg/scripts | DBYD Email sorter/Code/DBYD_email_sorter.py | DBYD_email_sorter.py | py | 2,633 | python | en | code | 0 | github-code | 90 |
27365748961 | def parser(result):
result = result.split('\n')
output = []
for line in result:
line = line.split(' ')
interval =''
transfer = 0
bandwith = 0
for n in range(len(line)):
if(line[n] == 'sec'):
interval = line[n-2][... | Anton-G-11/QA-Testing | lab7/pars.py | pars.py | py | 731 | python | en | code | 0 | github-code | 90 |
24823725865 | import re
import time
import urllib2
from lxml import etree
from database import PrognosDB
from conditions import Locations
class CubanWeather(object):
def __init__(self):
self.weather_data = {}
self.location = Locations()
self.db = PrognosDB()
self.db.create_connection()
... | codeshard/prognos | prognos/weather.py | weather.py | py | 2,808 | python | en | code | 14 | github-code | 90 |
19511643056 | import sys # exit()
import time # sleep()
import pygame
from ball import Ball
from paddle import Paddle
from wall import Wall
width = 640
height = 480
white_color = (255, 255, 255)
pygame.init()
def game_over():
font = pygame.font.SysFont('Arial', 72)
text = font.render('Game over :(', True, white_color)... | gertoska/breakout | game.py | game.py | py | 3,040 | python | en | code | 0 | github-code | 90 |
26045932822 | from functools import wraps
import json
def json_io(func):
@wraps(func)
def dec(self, url, payload=None):
if payload is not None and isinstance(payload, str):
payload = json.loads(payload)
return json.dumps(func(self, url, payload), indent=2)
return dec
class User(object):
de... | JCArya/Exercism-in-Python | rest_api.py | rest_api.py | py | 2,388 | python | en | code | 1 | github-code | 90 |
6576390697 | from typing import List
'''
def fourSumCount(nums1: List[int], nums2: List[int], nums3: List[int], nums4: List[int]) -> int:
count = 0
for i in range(len(nums1)):
for j in range(len(nums2)):
for k in range(len(nums3)):
for l in range(len(nums4)):
if nums1... | MuskanMall/leetcode | HashMaps/4sum.py | 4sum.py | py | 913 | python | en | code | 0 | github-code | 90 |
3350830610 | # Creating an automated Parking lott
import warnings
import datetime
import math
import dateparser
warnings.filterwarnings(action="ignore")
class Two_wheeler:
def __init__(self, plate):
"""
:rtype: object
"""
self.enterTime = datetime.datetime.now()
self.plate = plate
... | kumar-rohan-412/Valet-Parking | Valet_Parking_Final.py | Valet_Parking_Final.py | py | 6,361 | python | en | code | 0 | github-code | 90 |
17999120540 | from kivy.app import App
from kivy.config import Config
from kivy.core.audio import SoundLoader
from widgets import Pong
from telas import TelaJogo, TelaMenu, TelaVencedor1, TelaVencedor2
from kivy.uix.screenmanager import ScreenManager
# Carrega nosso arquivo de configurações
Config.read("Tutoriais_Kivy_KivyMD/Jogo_p... | LivioAlvarenga/Tutoriais_Kivy_KivyMD | Jogo_pong/main.py | main.py | py | 1,295 | python | pt | code | 1 | github-code | 90 |
4668986942 | # Name: Huan-Yun Chen
# soundex.py template
# CSCI 4140
import sys
import nltk
import re
# Define any global helper strings at this point
# Define tuple list and mapping code to create dictionary for consonant
# transformations at this point
# function that takes token, transforms it into its new form, and returns ... | oliver0616/my_work2 | Natural Language Processing/NLTK/Assignment/Assignment3/hw3_Chen.py | hw3_Chen.py | py | 2,282 | python | en | code | 1 | github-code | 90 |
74025857578 | import json
import os
from django.core.files.uploadedfile import SimpleUploadedFile
from django.urls import reverse, path, include
from rest_framework.test import APITestCase, URLPatternsTestCase
from apps.order_app.models import Order
from core import settings
class OrderTests(APITestCase, URLPatternsTestCase):
... | kaidenvlr/onedev-tz | apps/order_app/tests.py | tests.py | py | 3,311 | python | en | code | 0 | github-code | 90 |
27693240474 | from basic.collection.queue_ import Queue
from basic.collection.tree import Node
def preorder_serialize(head=None):
if not head:
return '#'
return str(head.val) + ',' + str(preorder_serialize(head.left)) + \
',' + str(preorder_serialize(head.right))
def inorder_serialize(head=None, res... | xyzacademic/LeetCode | basic/BinaryTree/preorder_serialize.py | preorder_serialize.py | py | 1,619 | python | en | code | 0 | github-code | 90 |
22242138316 | import json
import time
from classes.functions import Functions
class Trudy:
def __init__(self, neo):
self.neo = neo
self.functions = Functions()
def Trudy(self, username):
self.functions.createTaskData('Trudy', username)
if time.time() - float(self.functions.lastRun('Trudy', u... | MajinClraik/Multi-Tool | classes/trudy.py | trudy.py | py | 1,384 | python | en | code | 0 | github-code | 90 |
32658800096 | # -*— coding:utf-8 -*-
import asyncio
import json
import aioamqp
from anquant.tasks import LoopTask, SingleTask
from anquant.utils import logger
from anquant.utils.locker import async_method_locker
class Event:
def __init__(self, name=None, exchange=None, queue=None, routing_key=None, pre_fetch_count=1, data=No... | Ansore/anquant | anquant/event_engine.py | event_engine.py | py | 8,462 | python | en | code | 0 | github-code | 90 |
33168638638 | """
@author: yigit.yildirim@boun.edu.tr
"""
from tkinter import *
from world import World
# Window-related stuff begins
# initializing root
root = Tk()
root.title("Contagion")
root.resizable(False, False)
# initializing canvas
canvas = Canvas(root, width=1000, height=500)
canvas.pack()
root.update_idletasks()
# W... | yildirimyigit/ds-p4ai | oop/contagion/contagion.py | contagion.py | py | 468 | python | en | code | 0 | github-code | 90 |
18297632689 | n,m=map(int,input().split())
a=list(map(int,input().split()))
for i in range(n):a[i]*=-1
a.sort()
from bisect import bisect_left,bisect_right
def check(mid):
mm=0
for i in range(n):
if -(a[i]+a[0])<mid:break
mm+=bisect_right(a,-(mid+a[i]))
return mm
ok=0
ng=10**10+7
while ng!=ok+1:
mid=(ok+ng)//2
if c... | Aasthaengg/IBMdataset | Python_codes/p02821/s208865293.py | s208865293.py | py | 534 | python | en | code | 0 | github-code | 90 |
35612990530 | import sys
from time import sleep
import pygame
from settings import Settings
from game_stats import GameStats
from ship import Ship
from bullet import Bullet
from alien import Alien
from button import Button
from scoreboard import Scoreboard
class AlienInvasion:
"""Overall class to manage game assets and behavi... | quantenmagier/Carls_studies-electric_boogalo | main.py | main.py | py | 10,016 | python | en | code | 2 | github-code | 90 |
17874371797 | from django.shortcuts import render, redirect
from django.http import HttpResponse
from django.contrib.auth.decorators import login_required
import datetime
from.models import Product, Sell, Order
from .forms import FormInventoryAdd, FormSellCustomer, FormSellOrder
from django.contrib.auth import logout
# Create you... | Rono-Koushique/Inventory-records-manager | techdorbesh/database/views.py | views.py | py | 7,001 | python | en | code | 1 | github-code | 90 |
18224647606 | from twisted.internet.defer import Deferred
from crow2.events.hook import Hook
from crow2.events.yielding import yielding
from crow2.util import AttrDict
def test_simple():
"""
"Simple" test of yielding
"""
hook1 = Hook()
hook2 = Hook()
@hook1
@yielding
def handler(event):
"yi... | lahwran/crow2 | crow2/events/test/test_yielding.py | test_yielding.py | py | 2,479 | python | en | code | 1 | github-code | 90 |
17521032380 | import sys
import os
sys.path.append(os.path.abspath('.'))
from hotword_detection import mfcc
import numpy as np
def test_mfcc_first_coefficient():
temp = mfcc.MFCC()
no_of_test = 100
input_matrix = np.random.random_sample((no_of_test,200))
def first_coeff_greater_than_0(x):
... | sakethgsharma/HotWordDetection | hotword_detection/test/test_mfcc.py | test_mfcc.py | py | 995 | python | en | code | 27 | github-code | 90 |
34872508690 | import gzip
import io
import os
from pathlib import Path
import subprocess
import sys
import tarfile
import textwrap
import time
import zipfile
import numpy as np
import pytest
from pandas.compat import is_platform_windows
import pandas as pd
import pandas._testing as tm
import pandas.io.common as icom
@pytest.ma... | pandas-dev/pandas | pandas/tests/io/test_compression.py | test_compression.py | py | 12,343 | python | en | code | 40,398 | github-code | 90 |
25209840398 | from io import StringIO
import sys
import streamlit as st
from krr_system import (
TimeDomainDescription,
Fluent,
Scenario,
)
# to be deleted when TimeDomainDescription.description() will return value instead of print
class Capturing(list):
def __enter__(self):
self._stdout = sys.stdout
... | GiveMeMoreData/krr_system | app.py | app.py | py | 24,950 | python | en | code | 0 | github-code | 90 |
7563359696 | import sys
import os
folder = sys.argv[1]
extension_count = {}
longest = ""
shortest = ""
second_c = ""
# use os.walk to get all files in the folder
for _, _, files in os.walk(folder):
print(files)
# get longest name, shortes, first file with seond letter c
longest = files[0]
shortest ... | nicolaee2/python-lab | main/4.py | 4.py | py | 1,275 | python | en | code | 0 | github-code | 90 |
37658848504 | from pycipher import Caesar
#!pip install pycipher
def cipher(message, offset):
encrypted_message = Caesar(key=offset).encipher(message)
print(f"{message} encrypted with the Caesar cipher with an offset of {offset}: ")
print(encrypted_message)
my_message = input("Enter message to encrypt: ")
my_offset =... | mit-dci/Oct-19-members-week | cipher.py | cipher.py | py | 384 | python | en | code | 0 | github-code | 90 |
18344452139 | # LRRRRRRL, LRL は同じ(不幸な人は3人)
# L, R で分割してやると一回の操作でLRL -> LLL -> で不幸な人が2人へる LR の時は LLで1人減る
n, k = list(map(int, input().split(' ')))
s = input()
# LLRRRLL -> 1,1,1に変換して合体させていく
old = ''
converted = []
for c in s:
if old != c:
converted.append(1)
old = c
temp = max(len(converted) - 2*k, 1) # 必ず一人は犠牲に... | Aasthaengg/IBMdataset | Python_codes/p02918/s244071513.py | s244071513.py | py | 460 | python | ja | code | 0 | github-code | 90 |
10885959002 | import streamlit as st
import pandas as pd
import numpy as np
from streamlit_folium import folium_static
from utils import (
get_folium_map,
add_dc_markers,
get_nearsest_dc,
get_initial_map,
get_initial_map_opt,
)
from config import dc_lat_lng, dc_colors, capacity_grid_options, dc_capacity
from st_a... | chakra1166/s2p-route-opt | main.py | main.py | py | 5,542 | python | en | code | 0 | github-code | 90 |
42985852816 | from math import *
t=int(input())
def solve(n):
sum=0.0
if n %2==1:
for i in range(1,n+1,2):
sum += (1.0/i)
else:
for i in range(2,n+1,2):
sum += (1.0/i)
# lamf tròn đến 6 chữ số phần thập phân
print('{:.6f}'.format(sum))
while t >0:
n=int(input())
... | nguyenkien0703/python_ptit | PY01036.py | PY01036.py | py | 350 | python | vi | code | 0 | github-code | 90 |
2438899006 | import json
import handler.TransformClickHouseData as TCH
class AppLambdaDelegate:
def __init__(self, **kwargs):
for key, val in kwargs.items():
setattr(self, key, val)
def exec(self):
event = self.event
event = json.loads(event.get("Records")[0].get("body"))
reco... | PharbersDeveloper/phlambda | deprecated/phtransformschema/src/delegate/AppLambdaDelegate.py | AppLambdaDelegate.py | py | 804 | python | en | code | 0 | github-code | 90 |
19646907102 | from aiokafka import AIOKafkaConsumer
import asyncio
from pydantic import BaseSettings
try:
from dotenv import load_dotenv
except ImportError:
pass
else:
load_dotenv()
class Settings(BaseSettings):
KAFKA_HOST: str
KAFKA_PORT: int
settings = Settings()
async def consume():
consumer = AIOK... | Vitaliy3000/python_advanced_tutorial | Asynchrony/consumer.py | consumer.py | py | 900 | python | en | code | 0 | github-code | 90 |
9037630408 | import serial
def validHeartRateValue(heart_rate):
if heart_rate < 90 or heart_rate > 150:
return True
return False
def validSpo2Value(spo2):
if spo2 < 100 and spo2 > 40:
return True
return False
def getMaxValues(heart_rate_values, spo2_values):
max_heart_rate = max(heart_rate_... | GabrielRodriguesDeveloper/Pulse-Oximeter-Telegram-Bot-Python | values.py | values.py | py | 1,647 | python | en | code | 0 | github-code | 90 |
25908702552 | # File: lab7.py
# Author: Edward Hanson
# Date: 10/13/2015
# Section: 18
# E-mail: ehanson1@umbc.edu
# Description:
def main():
items = ["shoes", "socks", "hat", "belt", "blouse", "dress", "tie"]
prices = [ 54.99, 7.11, 6.49, 22.58, 21.73, 38.99, 14.83]
LISTLENGTH = 7
cash... | Rudedaisy/CMSC-201 | Labs/lab7/lab7.py | lab7.py | py | 1,158 | python | en | code | 0 | github-code | 90 |
18476081909 | n=int(input())
lim_keta=len(str(n))
def dfs(keta,num):
if int(num)<=n and len(set(num))==3:
global cnt
cnt+=1
if keta==lim_keta:
return
for i in '753':
dfs(keta+1,num+i)
cnt=0
for i in '753':
dfs(1,i)
print(cnt) | Aasthaengg/IBMdataset | Python_codes/p03212/s316989574.py | s316989574.py | py | 241 | python | en | code | 0 | github-code | 90 |
18151059969 | from collections import deque
N, M = [int(x) for x in input().split()]
route = {int(x): [] for x in range(N)}
for _ in range(M):
a, b = [int(x) - 1 for x in input().split()]
route[a].append(b)
route[b].append(a)
queue = deque()
queue.append(0)
all_town = set([int(x) for x in range(N)])
result = 0
while... | Aasthaengg/IBMdataset | Python_codes/p02536/s564784660.py | s564784660.py | py | 601 | python | en | code | 0 | github-code | 90 |
23641088961 | from django.urls import reverse
from django.views.generic import FormView
from barriers.forms.statuses import BarrierChangeStatusForm
from .mixins import BarrierMixin
class BarrierChangeStatus(BarrierMixin, FormView):
template_name = "barriers/edit/status/change.html"
form_class = BarrierChangeStatusForm
... | uktrade/market-access-python-frontend | barriers/views/statuses.py | statuses.py | py | 1,191 | python | en | code | 5 | github-code | 90 |
6045320215 | from gillespie_simple import *
from pathlib import Path
# Concentrations
conc_init_prey = 4 # M
conc_init_hunter = 10 # M
# Fake volume
vol = 10**(-21) # L
# Initial counts
no_init_prey = int(conc_init_prey * vol * AVOGADRO)
no_init_hunter = int(conc_init_hunter * vol * AVOGADRO)
print("Initial no prey: %d" % no_in... | smrfeld/gillespie-simple-python | examples/lotka_volterra/main.py | main.py | py | 991 | python | en | code | 0 | github-code | 90 |
33235269858 | # %%
import os
import numpy as np
import pandas as pd
from sklearn.datasets import make_classification
from sklearn.datasets import make_regression
from sklearn.preprocessing import StandardScaler
from sklearn.decomposition import KernelPCA
from sklearn.neighbors import KNeighborsClassifier
from sklearn.neighbors impor... | gmcmacran/semi_supervised | code/run sim.py | run sim.py | py | 7,350 | python | en | code | 0 | github-code | 90 |
29066735651 | """
from src.glcm_old import horizontal_glcm, vertical_glcm, diagonal_glcm
g = horizontal_glcm("cropped/lighthouse/lighthouse_crop14.png")
h = vertical_glcm("cropped/lighthouse/lighthouse_crop14.png")
m = diagonal_glcm("cropped/lighthouse/lighthouse_crop14.png")
for i in range(10):
s = ""
for j in range(10):... | Black3800/chasjp | src/test_glcm.py | test_glcm.py | py | 1,064 | python | en | code | 0 | github-code | 90 |
27925944311 | from .plugin import Plugin
class Monitor(Plugin):
def __init__(self, running_average=True, epoch_average=True, smoothing=0.7,
precision=None, number_format=None, unit=''):
if precision is None:
precision = 4
if number_format is None:
number_format = '.{}f'... | sibozhang/Text2Video | venv_vid2vid/lib/python3.7/site-packages/torch/utils/trainer/plugins/monitor.py | monitor.py | py | 2,292 | python | en | code | 381 | github-code | 90 |
21815216487 | from dataclasses import dataclass
@dataclass(order=True, frozen=True)
class Size:
width: int = 800
height: int = 680
max_content_width = width - 20
@dataclass(order=True, frozen=True)
class Position:
screen_x: int = int(Size().width / 2)
screen_y: int = int(Size().height / 2 - 41)
screen_hid... | vagabondHustler/subsearch | src/subsearch/gui/resources/config.py | config.py | py | 1,612 | python | en | code | 27 | github-code | 90 |
42618431013 | from typing import Dict, Any
#The strip() method removes any leading (spaces at the beginning) and trailing (spaces at the end) characters (space is the default leading character to remove) biografy: https://www.w3schools.com/python/ref_string_strip.asp
#Por eso lo usaremos para eliminar los espacios :)
class Analizado... | Dlassoc/Ejercicio_Eventos | Ejercicio.py | Ejercicio.py | py | 1,312 | python | pt | code | 0 | github-code | 90 |
1018302015 | class Conversion:
def convertntegertoromannumeral(self, integerinput):
numerals = {
1: "I",
2: "II",
3: "III",
4: "IV",
5: "V",
6: "VI",
7: "VII",
8: "VIII",
9: "IX",
10: "X"
}
... | MorphX2/convertIntegerToRomanNumeral | convertIntegerToRomanNumeral.py | convertIntegerToRomanNumeral.py | py | 657 | python | en | code | 0 | github-code | 90 |
25263707802 | from common import *
from functools import reduce
def draw(t=0, **kwargs):
s=np.array((2048,2048))
y,x=meshgrid_euclidean(s)
pts=[]
for (r,n,o) in ((0,1,0),(0.2+0.12*math.sin(t*0.03),3,0.001*t+math.pi/6),(0.4+0.3*math.sin(0.34+0.0174*t),6,math.sin(0.4+0.0042*t)*math.pi)):
for a in range(n):
... | fferri/geometric_patterns | video2.py | video2.py | py | 741 | python | en | code | 9 | github-code | 90 |
17960876969 | from collections import defaultdict
a = input()
len_a = len(a)
ans = 1 + len_a*(len_a-1)//2
d = defaultdict(int)
for ai in a:
d[ai] += 1
for key,val in d.items():
ans -= val*(val-1)//2
print(ans) | Aasthaengg/IBMdataset | Python_codes/p03618/s100969303.py | s100969303.py | py | 207 | python | en | code | 0 | github-code | 90 |
14393998840 | # Libs
import machine
import utime
import neopixel
import gc
# region Color
'''
Color
Aufabe:
Save RGB Color
Func GetRGB | None | list[R:int, G:int, B:int]
Func SetRGB | Write RGB | None
'''
class Color():
def __init__(self, r, g, b):
self.R = r
self.G = g
self.B = b
def GetRGB(sel... | chaosmac1/projektsoundvisual | main.py | main.py | py | 36,493 | python | en | code | 0 | github-code | 90 |
18038709429 | s = input()
n = len(s)
i = n
while i > 0:
if i >= 7 and s[i-7:i] == 'dreamer':
i -= 7
elif i >= 5 and s[i-5:i] == 'dream':
i -= 5
elif i >= 6 and s[i-6:i] == 'eraser':
i -= 6
elif i >= 5 and s[i-5:i] == 'erase':
i -= 5
else:
print('NO')
exit()
print('... | Aasthaengg/IBMdataset | Python_codes/p03854/s459456800.py | s459456800.py | py | 325 | python | en | code | 0 | github-code | 90 |
39227476197 | # -*- coding: utf-8 -*-
"""
Created on Mon Feb 23 09:02:21 2015
@author: adelpret
q.shape"""
import matplotlib.pyplot as plt
import numpy as np
import plot_utils as plut
from hrp2_motors_parameters import k_d, k_p, k_tau, k_v
FOLDER_ID = 5
EST_DELAY = 40
""" delay introduced by the estimation in number of samples "... | stack-of-tasks/sot-torque-control | python/dynamic_graph/sot/torque_control/identification/pos_ctrl/compress_stairs_data.py | compress_stairs_data.py | py | 8,970 | python | en | code | 8 | github-code | 90 |
72208054378 | """
编写一个算法来判断一个数 n 是不是快乐数。
“快乐数”定义为：对于一个正整数，每一次将该数替换为它每个位置上的数字的平方和，然后重复这个过程直到这个数变为 1，也可能是 无限循环 但始终变不到 1。如果 可以变为 1，那么这个数就是快乐数。
如果 n 是快乐数就返回 True ；不是，则返回 False 。
示例：
输入：19
输出：true
解释：
12 + 92 = 82
82 + 22 = 68
62 + 82 = 100
12 + 02 + 02 = 1
"""
class Solution:
def isHappy(self, n: int) -> bool:
def ... | Asunqingwen/LeetCode | 每日一题/快乐数.py | 快乐数.py | py | 1,231 | python | zh | code | 0 | github-code | 90 |
73873941417 | # Standard Library
import random
import traceback
# 3rd Party
import docker
import pybreaker
import requests
from flask import current_app
# Fastlane
from fastlane.worker.errors import NoAvailableHostsError
class DockerPool:
def __init__(self, docker_hosts):
self.docker_hosts = docker_hosts
sel... | fastlane-queue/fastlane | fastlane/worker/docker/pool.py | pool.py | py | 3,559 | python | en | code | 49 | github-code | 90 |
18289081179 | from collections import deque
H, W = map(int, input().split())
maze = [list(input()) for i in range(H)]
XY = [(-1, 0), (1, 0), (0, 1), (0, -1)]
t_max = 0
for i in range(H):
for j in range(W):
step = [[0]*W for _ in range(H)]
visited = [[False]*W for _ in range(H)]
queue = deque([(i, j)])
... | Aasthaengg/IBMdataset | Python_codes/p02803/s610727198.py | s610727198.py | py | 827 | python | en | code | 0 | github-code | 90 |
9974014026 | # -*- coding: utf-8 -*-
# Auther : jianlong
from animal.cat import cat
from animal.dog.dog import dog
import time
from test1 import test1
from test.second import second_test
from test.alist import alit
def upper(str):
result = ''
try:
result = str.upper()
except Exception as e:
print("程序出错... | jianlongIT/python_test | pythonlearn/test2.py | test2.py | py | 499 | python | en | code | 0 | github-code | 90 |
73521622697 | from django.contrib.auth import get_user_model
from djoser.views import UserViewSet
from rest_framework import mixins, status, viewsets
from rest_framework.generics import get_object_or_404
from rest_framework.pagination import PageNumberPagination
from rest_framework.response import Response
from users.models import ... | OlegZhigulin/foodgram-project-react | backend/foodgram/users/views.py | views.py | py | 2,426 | python | en | code | 0 | github-code | 90 |
32661312631 | import json
import pickle
import logging
from collections import defaultdict
from typing import Any, Dict, List, Iterable, Text
from overrides import overrides
import torch
from allennlp.data.fields import (
MetadataField,
TextField,
IndexField,
ListField,
)
from allennlp.data.dataset_readers.dataset... | allenai/data-efficient-finetuning | attribution/p3_jsonl_reader.py | p3_jsonl_reader.py | py | 4,866 | python | en | code | 27 | github-code | 90 |
28839287921 | #!/usr/bin/env python3
import sys
import urllib.parse
infn = sys.argv[1]
data = open(infn).readlines()
grep_v_in_l = [
'Copyright owners',
'Ad revenue',
'Content found during',
'some territories',
'cannot be monetized',
'Copyright owner',
'On behalf',
'GmbH',
'LLC',
'Content ... | npinto/dotfiles | utils/.utils/yt-tracklist-clean.py | yt-tracklist-clean.py | py | 1,370 | python | en | code | 10 | github-code | 90 |
8583862455 | ## @package app.wh_freq_app
from app.app import App
from ui.wh_freq_app.main_window import MainWindow
## Handles startup for the WH Question app.
class WhFreqApp(App):
## Constructor
# @param self
def __init__(self):
super(WhFreqApp, self).__init__(
'wh_freq_app',
App.APP_T... | babylanguagelab/bll_app | wayne/app/wh_freq_app.py | wh_freq_app.py | py | 509 | python | en | code | 0 | github-code | 90 |
36318187395 | import sys
import optparse
from optparse import Option, BadOptionError
from trigger.cli import cmdoptions
from trigger.cli.cmdparser import ConfigOptionParser, UpdatingDefaultsHelpFormatter, parse_opts
from trigger.cli.utils import get_prog, get_userinput_boolean,is_true
from trigger.log import Logger
from trigger.tri... | weiwongfaye/python_cli_template | trigger/cli/commands.py | commands.py | py | 6,453 | python | en | code | 0 | github-code | 90 |
1699089750 | """
high level Api
"""
import asyncio
import datetime as dt
import logging
from itertools import product
from typing import Dict
from typing import List
from typing import Optional
from typing import Tuple
import pandas as pd
from .enums import ErrorBehaviour
from .enums import SecurityIdType
from .errors import Bloo... | rockscie/async_blp | async_blp/async_blp.py | async_blp.py | py | 11,272 | python | en | code | 13 | github-code | 90 |
42039518730 | """
Given a directed acyclic graph, with n vertices numbered from 0 to n-1, and an array edges where edges[i] = [fromi, toi] represents a directed edge from node fromi to node toi.
Find the smallest set of vertices from which all nodes in the graph are reachable. It's guaranteed that a unique solution exists.
Notice ... | nilay-gpt/LeetCode-Solutions | graphs/min_nodes_to_visit_all.py | min_nodes_to_visit_all.py | py | 1,064 | python | en | code | 2 | github-code | 90 |
13680901281 | import numpy as np
import csv
def get_train_data_for_class(train_X,train_Y,class_label):
class_X = np.copy(train_X)
class_Y = np.copy(train_Y)
class_Y = np.where(class_Y == class_label,1,0)
return class_X,class_Y
def import_data():
X = np.genfromtxt("train_X_lg_v2.csv",dtype=np.float128,delimiter ... | shubh-cmd/ML-algorithm | logistic_regression/train.py | train.py | py | 2,539 | python | en | code | 0 | github-code | 90 |
28890045538 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue May 15 13:38:27 2018
@author: eo
"""
import cv2
import numpy as np
from functools import partial
class FrameLab:
def __init__(self, name="Unnamed Frame Processor"):
# Name this object to use for plotting/feedback
sel... | EricPacefactory/eolib | legacy/framelab_legacy.py | framelab_legacy.py | py | 81,129 | python | en | code | 0 | github-code | 90 |
21396394329 | # -*- coding: utf-8 -*-
#2017/10/27 CRP_assignment.py : CRPにおけるテーブル数と着席客数をグラフで表す
import random as rm
import matplotlib.pyplot as plt
from collections import Counter
def chinese_restaurant_process(num_customers, alpha):
if num_customers <= 0:
return []
table_assignments = [1] # first customer sits at table 1
... | KanaOzaki/Nonparametric | CRP_assignment.py | CRP_assignment.py | py | 1,651 | python | en | code | 0 | github-code | 90 |
25525407138 | from flask import request
from app import app
from app.db import postgre
from app.utils import wrappers, logger
logger = logger.Logger(__name__)
def sendFeedback():
logger.info("API Handler feedback/send")
try:
message = request.json['message']
except Exception:
return {
... | codingjerk/ztd.blunders-web | app/api/feedback/send.py | send.py | py | 567 | python | en | code | 0 | github-code | 90 |
17950103520 | import requests
import json
from codes import *
def geoCodeLocation(inputString):
location = inputString.replace(" ","+")
url = ('https://maps.googleapis.com/maps/api/geocode/json?address=%s&key=%s'% (location, google_api_key))
content = requests.get(url)
result = content.json()
if (result['status... | ivandodo/lesson2 | geocode.py | geocode.py | py | 1,710 | python | en | code | 0 | github-code | 90 |
73501449577 | import sys
input = sys.stdin.readline
# 다익스트라는 바로 연결되어 있는 값 중에서 최단 경로를 선택하는 알고리즘이였다면,
# 플로이드 워셜 알고리즘은 현재의 노드를 통해서 갈 수 있는 최단 경로를 업데이트 하는 방식이다.
# a 에서 b로 가는 값을 선택할 때, a에서 b로 바로 갈 수 있는 값과 k노드를 통해 a에서 k와 k에서 b를 통해 가는 방식 중 최소 값을 선택한다.
# 점화식을 통해 모든 경로를 해보기 때문에 O(n^3)의 시간복잡도를 갖는다.
# 2차원 배열을 선언하여 a에서 b로 가는 INFINITE 값으로 초기화하고... | Err0rCode7/algorithm | baekjoon/dijkstra_graph/floyd-warshall.py | floyd-warshall.py | py | 1,565 | python | ko | code | 0 | github-code | 90 |
14289069923 | #!/usr/bin/env python3
import subprocess
import logging
# Configure logging
logging.basicConfig(level=logging.INFO, filename='railway_logs.txt', filemode='w',
format='%(asctime)s - %(levelname)s - %(message)s')
# Create a logger instance
logger = logging.getLogger('RailwayLogger')
# Stream logs ... | eastcoreesolis/railwaystreamlogs | test.py | test.py | py | 948 | python | en | code | 0 | github-code | 90 |
11173899370 | from django.conf import settings
from mongoengine import MultipleObjectsReturned, DoesNotExist
from dms.models import UserProfile
__author__ = 'asseym'
def get_profile(phone):
return _mobile_user(phone)
def _mobile_user(phone):
char_index = settings.NUMBER_OF_CHARS_IN_PHONE_NUMBER
try:
if len(ph... | unicefuganda/necoc | dms/utils/user_profile_utils.py | user_profile_utils.py | py | 1,903 | python | en | code | 1 | github-code | 90 |
72017890857 | # -*- coding: utf-8 -*-
"""Server for the Raspi Webapp
"""
import sys
import os
import signal
import json as j
import time
from sanic import Sanic
from sanic.response import json
from sanic.response import file
import src.raspi.webapp.mw_adapter_server as mw_adapter_server
from src.raspi.lib import zmq_ack
from src.ra... | Inux/pren | src/raspi/webapp/server.py | server.py | py | 6,047 | python | en | code | 1 | github-code | 90 |
17853233852 | #Escriba un programa que pida un número de jugadores y tire un dado para cada jugador.
import random #importamos la librería random
cant_jugadores = int(input("Ingrese la cantidad de jugadores: "))
if (cant_jugadores <= 0) :
print ("Cantidad de jugadores errónea")
else :
for i in range(cant_jugadores) :
... | EmiSchonhals1/Mi-ruta-de-aprendizaje-de-Python | xx MiniJuegos xx/1_dado_x_jugador.py | 1_dado_x_jugador.py | py | 432 | python | es | code | 0 | github-code | 90 |
19199194178 | import matplotlib.pyplot as plt
## Ploting Rotas and Polo
def plot_polo_rotas(rotas_geo, polo_geo, title=''):
ax = rotas_geo.plot(color='red', alpha=1, edgecolor='k')
polo_geo.plot(ax=ax, color='green', alpha=0.5)
plt.title(title)
plt.show()
def plot_only_rotas(rotas_geo, title=''):
... | rodrigoelemesmo/posicionador | posicionador/utils.py | utils.py | py | 414 | python | en | code | 0 | github-code | 90 |
3311454235 | import numpy as np
import matplotlib.pyplot as plt
# Behaviour of kron
# >>> np.kron([1,10,100], [5,6,7])
# array([ 5, 6, 7, 50, 60, 70, 500, 600, 700])
# >>> np.kron([5,6,7], [1,10,100])
# array([ 5, 50, 500, 6, 60, 600, 7, 70, 700])
def codeSignal(inVal, chipLen):
# make ten copies of the signal... | e2choy/dsp | code_signal.py | code_signal.py | py | 942 | python | en | code | 0 | github-code | 90 |
14497391676 | import numpy as np
from neuron import h
class ArtificialCell:
def __init__(self, event_times):
# Convert event times into nrn vector
self.nrn_eventvec = h.Vector()
self.nrn_eventvec.from_python(event_times)
# load eventvec into VecStim object
self.nrn_vecstim = h.VecStim()... | jasmainak/netcon_bug | debug.py | debug.py | py | 2,195 | python | en | code | 0 | github-code | 90 |
40946614929 | """
Machine shop example
Covers:
- Interrupts
- Resources: PreemptiveResource
Scenario:
A workshop has *n* identical machines. A stream of jobs (enough to
keep the machines busy) arrives. Each machine breaks down
periodically. Repairs are carried out by one repairman. The repairman
has other, less important ... | adarshanand67/CS415-Modelling-and-Simulations | simpy docs/machine_shop copy.py | machine_shop copy.py | py | 4,477 | python | en | code | 0 | github-code | 90 |
18463640659 | import numpy as np
s = np.array(list(input()))
t = np.array(list(input()))
dp = np.zeros((len(s)+1, len(t)+1), dtype=int)
equal = s[:, None] == t[None, :]
for i in range(len(s)):
dp[i+1, 1:] = np.maximum(dp[i, :-1]+equal[i], dp[i, 1:])
dp[i+1] = np.maximum.accumulate(dp[i+1])
i = len(s)
j = len(t)
ans = []
... | Aasthaengg/IBMdataset | Python_codes/p03165/s940347275.py | s940347275.py | py | 522 | python | en | code | 0 | github-code | 90 |
1849049256 | import sys
input = sys.stdin.readline
dp = [[0 for i in range(30)] for j in range(30)]
def binomial(n,k):
if n==k or k==0:
return 1
if dp[n][k] != 0:
return dp[n][k]
dp[n][k] = binomial(n-1,k-1)+binomial(n-1,k)
return dp[n][k]
T = int(input())
for _ in range(T):
N,M = map(int, in... | GANGESHOTTEOK/yaman-algorithm | 07_DP/AN/BOJ1010.py | BOJ1010.py | py | 359 | python | en | code | 2 | github-code | 90 |
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