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
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1789218275 | # https://www.geeksforgeeks.org/fractional-knapsack-problem/
# Item Value DataClass
class ItemValue:
def __init__(self,weight,value):
self.weight=weight
self.value=value
self.cost=self.value/self.weight
class FractionalKnapSack:
@staticmethod
def getMaxValue(weights,values,capaci... | danish-faisal/Striver-s-SDE-Sheet | Greedy - Day 8/fractional-knapsack-problem.py | fractional-knapsack-problem.py | py | 1,629 | python | en | code | 0 | github-code | 90 |
33633346819 | from typing import Tuple, List
import cv2
import dask
import numpy as np
from src.detection_helpers.detection_box import DetectionBox
class IndexLoader:
def __init__(self, confidence_threshold: float):
self.classIDs = None
self.confidences = None
self.boxes = None
self.confidence... | Reennon/Dask-Yolo | src/index_helpers/index_loader.py | index_loader.py | py | 3,420 | python | en | code | 0 | github-code | 90 |
18012177959 | N, A, B = map(int, input().split())
v = list(map(int, input().split()))
v = sorted(v,reverse=True)
# (合計, 個数)
max_avg = (sum(v[:A]), A)
t = v[A-1]
num1 = v[:A].count(t)
num2 = v[A:].count(t)
fact = [0]*(N+1)
ifact = [0]*(N+1)
inv = [0]*(N+1)
p=170141183460469231731687303715884105727
def combination(n,fact,ifact):
... | Aasthaengg/IBMdataset | Python_codes/p03776/s609599369.py | s609599369.py | py | 1,041 | python | en | code | 0 | github-code | 90 |
42750222117 | #!/usr/bin/env python
import os
import sys
import coverage
TOP_DIR = os.path.dirname(os.path.dirname(__file__))
BASE_DIR = os.path.join(TOP_DIR, 'tenant_extras')
sys.path.insert(0, BASE_DIR)
def runtests(args=None):
test_dir = os.path.join(BASE_DIR, 'tests')
import django
from django.test.utils import ... | onepercentclub/django-tenant-extras | runtests.py | runtests.py | py | 1,604 | python | en | code | 9 | github-code | 90 |
17948753139 | n,m,k=map(int,input().split())
cnt=0
flag =0
for i in range(n+1):
for j in range(m+1):
cnt = (m*i) - (i*j) + (j*(n-i))
if cnt == k:
flag=1
if flag:
print("Yes")
else:
print("No")
| Aasthaengg/IBMdataset | Python_codes/p03592/s037939015.py | s037939015.py | py | 219 | python | en | code | 0 | github-code | 90 |
18113545229 | n, k = map(int, input().split())
w = [int(input()) for _ in range(n)]
left = 0
right = 100000*10000
while (right - left > 1):
mid = (left + right)//2
s = 0
j = 1
for i in range(n):
if mid < w[i]:
j = 100000
break
s += w[i]
if s > mid:
j += 1
... | Aasthaengg/IBMdataset | Python_codes/p02270/s120531603.py | s120531603.py | py | 426 | python | en | code | 0 | github-code | 90 |
19874440749 | from django.contrib import admin
from .models import Trainer
# Register your models here.
class TrainerAdmin(admin.ModelAdmin):
list_display = (
'name',
'types',
'description',
'price_per_hour',
)
ordering = ('name',)
admin.site.register(Trainer, TrainerAdmin) | aoshenye/Circuit-x-Fitness | trainers/admin.py | admin.py | py | 318 | python | en | code | 0 | github-code | 90 |
11944947515 | import heapq
import sys
input = sys.stdin.readline
INF = int(1e9)
node, edge = map(int, input().split())
graph = [[] for _ in range(node + 1)]
distance = [INF] * (node + 1)
start = 1
for _ in range(edge):
a, b = map(int, input().split())
graph[a].append((b, 1))
graph[b].append((a, 1))
def dijkstra(star... | EcoFriendlyAppleSu/algo | algoStudy/최단거리/숨바꼭질.py | 숨바꼭질.py | py | 1,071 | python | en | code | 0 | github-code | 90 |
9141397236 | #coding: utf-8
try:
from urllib2 import urlopen
except ImportError:
from urllib.request import urlopen
from bs4 import BeautifulSoup
def treenit(bot, msg):
print("/treenit was calld")
chat_id = msg['chat']['id']
counter = 0
text = ""
html = urlopen('http://hwarang.net/').rea... | Joukkue/JoukkueBot | code/treenit.py | treenit.py | py | 1,848 | python | en | code | 1 | github-code | 90 |
18677342328 | import json
from .base import BaseTemplate
from .common import Inputs, Outputs, DockerSpec, ExecutorSpec, GraphStorageVolumeSpec
from argo.parser.parser import ObjectParser, ObjectDefinition as OD
from ax.platform.annotations import Annotations
class EnvVar(ObjectParser):
def __init__(self):
self.name ... | zhan849/argo | common/python/argo/template/v1/container.py | container.py | py | 6,014 | python | en | code | null | github-code | 90 |
6100198756 | from django.contrib.auth.decorators import login_required
from django.shortcuts import render
from .models import MultipleChoiceQuestion, Answer, QuizTaker
# Global variables are used to pass generated questions and received answers from start_the_game
# to game_result function.
QUESTIONS, ANSWERS = [], []
# Create... | samveljanvelyan/Millionaire | Millionaire/QA/views.py | views.py | py | 3,477 | python | en | code | 0 | github-code | 90 |
14035895124 | from tkinter import *
from tkinter import messagebox
import tkinter;
master = tkinter.Tk();
master.title("Wish Form");
master.geometry("300x200");
Label (master , text = "Enter Name:").grid(row=0);
e1=Entry(master);
e1.grid(row=0, column=1);
def wish_click():
messagebox.showinfo("Message Title", "We... | yeloblu/Python | GUI/WishForm.py | WishForm.py | py | 663 | python | en | code | 0 | github-code | 90 |
73358452778 | """
Tests for management command
"""
from unittest import mock
import django
from django.core.management import call_command
from django.test import override_settings
from django.test.testcases import SimpleTestCase
django.setup()
@override_settings(
INSTALLED_APPS=[
"dr_scaffold",
],
)
class Comman... | Abdenasser/dr_scaffold | tests/test_command.py | test_command.py | py | 1,011 | python | en | code | 149 | github-code | 90 |
33958019140 | import math
import time
from selenium import webdriver
from selenium.webdriver.common.alert import Alert
link = "http://suninjuly.github.io/redirect_accept.html"
def calc(x):
return str(math.log(abs(12*math.sin(int(x)))))
try:
browser = webdriver.Chrome()
browser.get(link)
browser.find_element_by_... | TitovRoman/stepik_selenium | week_2/lesson3_step6.py | lesson3_step6.py | py | 738 | python | en | code | 0 | github-code | 90 |
4669029982 | #Name: Huan-Yun Chen
#Course: CSCI 4140
#Date: 2/27/2018
#Description: midterm exam question1
import nltk
#Question 1:
universalTag=nltk.corpus.brown.tagged_words(tagset="universal")
unsimplifiedTag=nltk.corpus.brown.tagged_words()
ADVSet=[]
resultSet=[]
noDuplicate =[]
totalNum=0
#Store ADV Set
ADVSet =[word for wo... | oliver0616/my_work2 | Natural Language Processing/NLTK/Midterm/question1/mt1.py | mt1.py | py | 978 | python | en | code | 1 | github-code | 90 |
40990257331 | '''
Created on Feb 22, 2020
@author: boogie
'''
from addon import Base
from tinyxbmc import container
from tinyxbmc import gui
from tinyxbmc import net
from tinyxbmc import const
from tinyxbmc import mediaurl
from liblivechannels import epg
class Navi(Base):
dropboxtoken = const.DB_TOKEN
def cats(self):
... | boogieeeee/repository.boogie | plugin.video.livestreams/navi.py | navi.py | py | 6,067 | python | en | code | 1 | github-code | 90 |
14081240451 | from keras.layers import Dropout, Dense
from keras.models import Model
from sktime_dl.classifiers.deeplearning import CNNClassifier
class CustomCNN(CNNClassifier):
"""Custom CNN Classifier inheriting from CNNClassifier.
This class adds a dropout layer after the CNN layers to reduce overfitting
and uses a... | nikolaiwest/2023-anomaly-detection-hicss | models/supervised/cnn.py | cnn.py | py | 2,215 | python | en | code | 1 | github-code | 90 |
18174729194 | import json
class Person:
def __init__(self, id,name, age):
self.id = id
self.name = name
self.age = age
def upload_data(self):
new_person ={
"id": self.id,
"name": self.name,
"age": self.age
}
with open("practice.json",'a+') as... | Shwetha21031/python_learning | PYTHON/Practice/practiceJson.py | practiceJson.py | py | 568 | python | en | code | 0 | github-code | 90 |
18514091609 | import sys
import numpy as np
import math
from functools import reduce
sys.setrecursionlimit(10**6)
n=int(input())
a=list(map(int,input().split()))
b=1
for i in range(n):
b*=a[i]
#def lcm_base(x,y):
# return (x*y)//math.gcd(x,y)
#def lcm_list(numbers):
# return reduce(lcm_base, numbers, 1)
#c=lcm_list(a)
... | Aasthaengg/IBMdataset | Python_codes/p03294/s411352022.py | s411352022.py | py | 545 | python | en | code | 0 | github-code | 90 |
18544593437 | from collections import defaultdict
from itertools import combinations
def solution(orders, courses):
answer = []
for course in courses:
menu_cnt = defaultdict(int)
for order in orders:
for course_menu in list(combinations(order,course)):
menu_cnt[''.join(sorted... | goldapple-ce/Algorithm | python/programmers/level2/메뉴리뉴얼.py | 메뉴리뉴얼.py | py | 716 | python | en | code | 0 | github-code | 90 |
71061845736 | import os
import pygame.image
from pygame.sprite import Sprite, Group
from src.settings import ASSETS
class Bullet(Sprite):
images = {
"bullet": [],
'laser': [],
}
@classmethod
def load_images(cls, b_type):
if not cls.images[b_type]:
cls.images[b_type] = []
... | Joel-Edem/space_ranger | src/componnets/bullet.py | bullet.py | py | 1,874 | python | en | code | 0 | github-code | 90 |
34131502615 | import numpy as np
import torch
import torch.utils.model_zoo as model_zoo
from torch import nn
from torchvision.models.resnet import BasicBlock
from Clinicadl.utils.network.cnn.resnet import ResNetDesigner, model_urls
from Clinicadl.utils.network.network_utils import PadMaxPool2d, PadMaxPool3d
from Clinicadl.utils.net... | nedleeds/OCTADeeplearning | Clinicadl/utils/network/cnn/models.py | models.py | py | 4,665 | python | en | code | 1 | github-code | 90 |
35020162790 | import pytest
from mock import AsyncMock
from evento import AsyncEvent
class TestAsyncEvent:
pytestmark = [pytest.mark.asyncio, pytest.mark.focus]
async def test_fire(self):
e = AsyncEvent[list[str]]()
mock = AsyncMock()
e += mock
await e.fire(["p1", "p2"])
mock.asser... | markkorput/pyevento | tests/async_event_test.py | async_event_test.py | py | 4,813 | python | en | code | 4 | github-code | 90 |
4014819371 | import time
import argparse
import numpy as np
from datetime import datetime
from pathlib import Path
from mosgim2.data.loader import LoaderTxt, LoaderHDF
from mosgim2.data.tec_prepare import(process_data,
combine_data,
calculate_seed_mag_coord... | mfkiwl/mosgim2 | prepare2.py | prepare2.py | py | 2,503 | python | en | code | 0 | github-code | 90 |
18953309273 | import torch
import torchvision
from torch import nn
from torch.utils.tensorboard import SummaryWriter
from srgan import Generator, Discriminator, GeneratorLoss, DiscriminatorLoss
from utils import load_datasets, psnr, ssim
from tqdm import tqdm
import statistics
import os
import argparse
def get_psnr(fake, real)... | oosky9/MachineLearning | SuperResolution/main.py | main.py | py | 10,452 | python | en | code | 0 | github-code | 90 |
25754807572 | #!/bin/python
# compare a knows good troubleshooting script to the recorded script
# output a quantified score of the ts steps
import getopt # options for cli arguments
import sys #
# function: parse all the user inputs from the tslog => user_target_log[list]
# ignore automated inputs, non related lines
# open pat... | charlie-romeo/tseval | tseval.py | tseval.py | py | 7,106 | python | en | code | 0 | github-code | 90 |
72965551978 | """ Coursera exercise 3 | Part 1: One vs All"""
import numpy as np
import pandas as pd
from matplotlib import pyplot as plt
#from matplotlib import image as mpimg
import scipy.io as sp
def display_data(x_mat):
""" Displays 100 random images"""
n_max = 100
row_rand = np.random.randint(0,x_mat.shape[0]-1,n_... | anahid-a/ML-repo | ex3/ex3.py | ex3.py | py | 3,735 | python | en | code | 0 | github-code | 90 |
18205817531 | import streamlit as st
import tensorflow as tf
import numpy as np
from PIL import Image
import cv2
model_path=r'C:\Users\user\Desktop\Graduation\chest_model_balanced.h5'
st.title("Chest Disease Identification Using CT Scan")
upload = st.file_uploader('Upload a CT scan image')
if upload is not None:
file_bytes = n... | ME3ZA/graduate | streamlit.py | streamlit.py | py | 945 | python | en | code | 0 | github-code | 90 |
9778768378 | #!/usr/bin/env python
import glob
import PyAudio
import wave
from flask import Flask, redirect, url_for
app = Flask(__name__)
loud_devices = [u'Display Audio',
u'Built-in Output'
]
class WaveReader(object):
def __init__(self, filename, size=1024):
self.wav = wave.open(f... | Nubsiknut/PnP_Soundboard | new.py | new.py | py | 3,180 | python | en | code | 0 | github-code | 90 |
6417567648 | def charOffsetToTuples(charOffset):
""" Splits a comma separated list of character offsets into tuples of integers.
Keyword arguments:
charOffset -- a string in the format "0-2,5-20"
Returns:
A list of tuples of two integers each
"""
tuples = []
ranges = charOffset.split(",")
f... | arne-cl/ppi_graphkernel | src/ppi_graphkernel/utils/Range.py | Range.py | py | 1,220 | python | en | code | 12 | github-code | 90 |
21066237023 | """
Runs analysis according to specific demands
"""
from DataHandler import *
from Graph import *
from CurveFit import *
from Equations import *
from PIL import Image
from ImageHandler import *
import numpy as np
from scipy.stats import linregress
import os
import matplotlib.pyplot as plt
def calculate_lumen(csv_pat... | orengerc/polarization | Main.py | Main.py | py | 2,394 | python | en | code | 0 | github-code | 90 |
34658304063 | import PyPDF4
import re
import io
from googletrans import Translator
from fpdf import FPDF
import numpy as np
def translateAndWriteToPDF(fileName,transToLang):
# reading pdf file
filePath = "filesToBeTranslated/"+fileName
pdfFileObj = open(r''+filePath, 'rb')
pdfReader = PyPDF4.PdfFileReader(pdfFileObj... | SushmitaShastri/pdfLanguageTranslator | translateAndWritePDF.py | translateAndWritePDF.py | py | 1,248 | python | en | code | 2 | github-code | 90 |
18357891379 | import sys
input = lambda : sys.stdin.readline().rstrip()
sys.setrecursionlimit(max(1000, 10**9))
write = lambda x: sys.stdout.write(x+"\n")
n,m = list(map(int, input().split()))
ab = [tuple(map(int, input().split())) for _ in range(n)]
ans = 0
c = 0
ab.sort(key = lambda x: (x[0], -x[1]))
from heapq import heappop as... | Aasthaengg/IBMdataset | Python_codes/p02948/s878136121.py | s878136121.py | py | 1,207 | python | en | code | 0 | github-code | 90 |
73375358057 | from bluetooth import *
import numpy as np
import matplotlib.pyplot as plt, mpld3
import threading
mutex = threading.Lock()
thread_list = []
data_dict = {}
it = 0
def find_devs():
print("performing inquiry...")
nearby_devices = discover_devices(lookup_names=True)
print("found %d devices" % len(nearby_... | ihpar/BtoothEpuck | src/btc.py | btc.py | py | 6,193 | python | en | code | 0 | github-code | 90 |
29307146244 | import os
import sys
import gc
import random
import time
import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
import numpy as np
pd.options.display.max_rows = None
pd.set_option('display.max_columns', 500)
np.set_printoptions(threshold=sys.maxsize)
np.set_printoptions(threshold=np.inf)
os.environ[... | majidam20/MTP_AD_PaperMachine | augmentation/TestAuged_NN_RollingLbl2_CV.py | TestAuged_NN_RollingLbl2_CV.py | py | 12,572 | python | en | code | 0 | github-code | 90 |
3753254458 | # Make sure to have the server side running in V-REP:
# in a child script of a V-REP scene, add following command
# to be executed just once, at simulation start:
#
# simRemoteApi.start(19999)
#
# then start simulation, and run this program.
#
# IMPORTANT: for each successful call to simxStart, there
# should be a cor... | somewhatdistracted/bipedal-AML | python/evolution.py | evolution.py | py | 2,705 | python | en | code | 1 | github-code | 90 |
14231993591 | #!/usr/bin/env python3
# -*- encoding: utf-8 -*-
'''
@File : Lab1-Josephu.py
@Time : 2022年4月10日10:14:49
@Author : Tianyi Wang
@Version : 1.0
@Contact : tianyiwang58@gmail.com
@Desc : Josephu's Problem for Lab1 solving by python
@Problem :
设编号为1，2，… m的m个人围坐一圈，从1开始报数，数到n 的那个人出列，它的下一位又从1开始报数，数到n的那... | wtyqqq/Data_Structure_Lab | lab1/lab1.py | lab1.py | py | 3,436 | python | en | code | 1 | github-code | 90 |
2312705812 | import time
from selenium import webdriver
from selenium.webdriver.chrome.service import Service
from selenium.webdriver.common.by import By
driver = webdriver.Chrome(service=Service())
driver.get("http://the-internet.herokuapp.com/windows")
driver.find_element(By.LINK_TEXT,"Click Here").click()
tabs = driver.window... | MartianFlow/learning-python-selenium-basics | Notas/SELENIUM/TabsNavegador.py | TabsNavegador.py | py | 816 | python | es | code | 1 | github-code | 90 |
18025393929 | N = int(input())
A = list(map(int,(input().split())))
S = A #調べたいリスト
result={}
for i in range (0,len(S)):
item = S[i]
if item in result:
result[item] = result[item]+1
else:
result[item] = 1
a = [k for k, v in result.items()]
h = []
for i in a:
h.append(result[i]-1)
h.sort(reverse=Tru... | Aasthaengg/IBMdataset | Python_codes/p03816/s006664397.py | s006664397.py | py | 520 | python | en | code | 0 | github-code | 90 |
32682819256 | import subprocess
import os
import sys
import time
import math
import random
from collections import Counter
import numpy as np
import json
Max_iterations = 5
Wanted_ref_accuracy = 0.99
intToDNA = {'A': "A", 0: "A", 'C': "C", 1: "C", 'G': "G", 2: "G", 'T': "T", 3: "T"}
def Get_possible_refs(ref, cluster):
n = l... | duna-m/FogsaaBasedMSA | main.py | main.py | py | 11,758 | python | en | code | 0 | github-code | 90 |
25320821880 | #!/usr/bin/env python
"""
File name: my_bg_subtraction.py
Author: skconan
Date created: 2010/01/10
Python Version: 3.5
"""
import constans as CONST
import numpy as np
import cv2 as cv
from lib import *
def neg_bg_subtraction():
# cap = cv.VideoCapture(CONST.PATH_VDO + r'\pool_gate_05.mp4')
# c... | skconan/underwater_object_detection_old | source/sg.py | sg.py | py | 3,350 | python | en | code | 0 | github-code | 90 |
14478142036 | import torch
from models import vgg19
import gdown
from PIL import Image
from torchvision import transforms
import gradio as gr
import cv2
import numpy as np
import scipy
import numpy
import time
pathOut = '/home/alpha/master_works/crowd/final_demo_data/angle_5/model_op_test_pre_train.mp4'
video_path = '/home/alpha/m... | ziaatmasterworks/ai-hajj-crowd | roi_demo.py | roi_demo.py | py | 4,798 | python | en | code | 0 | github-code | 90 |
37104364107 | # -*- coding: utf-8 -*-
import torch
import torch.nn as nn
import torch.optim as optim
import numpy as np
from scipy.stats import norm
from abacus.simulator.model import Model
class NNAR(Model):
# TODO: MLE estimation of sigma.
# TODO: MLE estimation of mu.
def __init__(self, data, p):
super().__i... | Sinbad-The-Sailor/Abacus | src/abacus/simulator/nnar.py | nnar.py | py | 6,015 | python | en | code | 15 | github-code | 90 |
44575906435 | """
Simple graph implementation compatible with BokehGraph class.
"""
import random
class Graph:
"""Represent a graph as a dictionary of vertices mapping labels to edges."""
def __init__(self):
self.vertices = {}
def add_vertex(self, vertex_id):
self.vertices[vertex_id] = Vertex(vertex_i... | munsu99/Graphs | projects/graph/src/graph.py | graph.py | py | 1,165 | python | en | code | null | github-code | 90 |
39496161397 | from django.template import Context, Template, TemplateSyntaxError
from django.test import TestCase
def render(template: str, data: dict[str, object] = None) -> str:
"""Convenience function for rendering templates"""
data = data or {}
return Template("{% load components slot_tags %} " + template).render(
... | nwjlyons/django_slots | tests/test_django_slots.py | test_django_slots.py | py | 1,895 | python | en | code | 11 | github-code | 90 |
29703558182 | """
客户端:1.连接服务器(ip,port)
2.下载文件的名字
服务器接收到客户端需要下载的文件名字,搜索文件,传给客户端
客户端写入到自己的文件中.
"""
# 1. 输入服务器ip,端口
# 2. 建立socket 连接服务器
# 3. 输入文件名
# 4. 发送文件名给服务器
# 5. 使用socket接收来自服务器的数据(保存在文件中)
# 6.如果收到b'',说明服务器断开连接-已经下载好
# 7.关闭socket
import socket
server_ip = input('输入server的ip:')
server_port = int(input('输入server的port:'))
cli... | Bngzifei/PythonNotes | 学习路线/2.python进阶/day04/05-文件下载器-客户端.py | 05-文件下载器-客户端.py | py | 1,362 | python | zh | code | 1 | github-code | 90 |
11634747396 | from airflow.utils.edgemodifier import Label
from datetime import datetime, timedelta
from textwrap import dedent
from airflow.operators.bash import BashOperator
from airflow.operators.python import PythonOperator
from airflow import DAG
from airflow.models import Variable
import pandas as pd
import sqlite3
# These ar... | DamodaraBarbosa/lh_desafio_engenharia_de_dados | tasks_desafio.py | tasks_desafio.py | py | 3,535 | python | en | code | 0 | github-code | 90 |
41870342096 | import math
from arithmetic import *
def swap(a,b):
return b,a
def ojld(a,b):
#最终结果：gcd = m1 * aa + m2 *b
flag=0
if a<b:
flag=1
a,b=swap(a,b)
aa=a
bb=b
#保存原来的数
#处理特殊情况，a = k*b。
if mod(a,b) == 0:
print("gcd("+str(hex(aa))+","+str(hex(bb))+")="+str(hex(b)... | 0xdaidai/crypto-homework | 2/ojld.py | ojld.py | py | 1,627 | python | en | code | 0 | github-code | 90 |
33951068176 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
'''
Author: Hao-Kai Zhang <zhk20@tsinghua.mails.edu.cn>
Creation Date: 2020-12-20 14:00
Description: EasyMPS project. <data_process.py> contains functions as primary tools to process data.
'''
import numpy as np
def SvdTrunc(mat, D_trunc=None, if_normalize=False):
'... | Haokai-Zhang/EasyMPS | DataToolBox/data_process.py | data_process.py | py | 12,336 | python | en | code | 65 | github-code | 90 |
33625752943 | #!/usr/bin/env python
import pyglet
from pyglet import *
class Entity(object):
def __init__(self, id, size, x, y, rot):
self.id = id
self.size = size
self.x = x
self.y = y
self.rot = rot
def draw(self):
glLoadIdentity()
glTranslatef(self.x, self.y, 0.0... | jaredly/babytux | entity.py | entity.py | py | 655 | python | en | code | 12 | github-code | 90 |
23221900808 | import cv2
import sys
import os
import time
import numpy as np
from argparse import ArgumentParser
pro_dir = os.path.abspath(os.path.dirname(os.path.dirname(__file__)))
sys.path.append(pro_dir)
from lib.pose import PoseLandmarkTRT
from lib.utils.video import VideoWriter
parser = ArgumentParser()
parser.add_argument... | Daming-TF/Mediapipe-hands | tools/pose_demo_trt.py | pose_demo_trt.py | py | 5,919 | python | en | code | 3 | github-code | 90 |
28138263167 | import discord
from discord.ext import commands
from asyncio import TimeoutError
from configparser import ConfigParser
from functools import wraps
import asyncio
def int_to_emoji(value: int):
if value == 0: return "0️⃣"
elif value == 1: return "1️⃣"
elif value == 2: return "2️⃣"
elif value == 3: return... | timraay/Seasonal | utils.py | utils.py | py | 6,282 | python | en | code | 1 | github-code | 90 |
8381100868 | #!/usr/bin/env python
"""The setup script."""
from setuptools import setup, find_packages
with open('README.rst') as readme_file:
readme = readme_file.read()
with open('HISTORY.rst') as history_file:
history = history_file.read()
requirements = ["ijson", "numpy", "pandas", "tqdm", "scikit-learn", "matplotl... | robachkaya/LrnXPAnaToolbox | setup.py | setup.py | py | 1,775 | python | en | code | 0 | github-code | 90 |
38486908364 | import os
import time
import signal
import sys
import struct
import serial
import serial.tools.list_ports
from datetime import datetime
import board
import socket
from digitalio import DigitalInOut, Direction, Pull
from subprocess import Popen, DEVNULL, PIPE, run
import threading
import red_cap
import which_or
#MLFRA ... | patnatha/MLFRA_RASPI | client_32.py | client_32.py | py | 10,720 | python | en | code | 0 | github-code | 90 |
39871249617 | # -*- coding: utf-8 -*-
"""
Created on Mon Apr 2 14:57:32 2018
@author: Navneet
"""
#camelcaseing | https://www.hackerrank.com/challenges/camelcase/problem
stringValue ='singleword'
count = 0
for i in stringValue:
if(i.isupper()):
count = count + 1
if count == 0:
print(0)
else:
print(count + 1)
... | NavneetPrakashSingh/Getting-Started-With-Python | HackerRankPython-CamelCase.py | HackerRankPython-CamelCase.py | py | 327 | python | en | code | 0 | github-code | 90 |
2646462027 | import argparse
import math
import os
import random
import sys
import time
import chainer
import chainer.functions as cf
import cupy as cp
import matplotlib.pyplot as plt
import numpy as np
from chainer.backends import cuda
from chainer.training import extensions
from multi_process_updater import *
import chainerx
imp... | K6L6/viewpoint-optimization | GQNDocker/chainer-gqn/train_mGPU.py | train_mGPU.py | py | 12,941 | python | en | code | 0 | github-code | 90 |
41281538677 | from config import *
import stg
@bot.message_handler(commands=['start'])
def start_msg(message):
chat_id = message.chat.id
if message.chat.type == "private":
if Lang(chat_id).get() != "None":
stg.start_msg(chat_id)
else:
stg.lang_set(chat_id)
@bot.message_handler(cont... | ispining/publicDBseller | main.py | main.py | py | 3,335 | python | en | code | 1 | github-code | 90 |
18259004289 | from collections import deque
import sys
input=sys.stdin.readline
S=input().rstrip()
string = deque([S[i] for i in range(len(S))])
reverse = False
for _ in range(int(input())):
q = input().rstrip().split()
if q[0] == "1":
reverse = not reverse
else:
if q[1] == "1":
if reve... | Aasthaengg/IBMdataset | Python_codes/p02756/s339649885.py | s339649885.py | py | 638 | python | en | code | 0 | github-code | 90 |
35364359207 | # Utils file for HUGEPAGES
import sys
import logging
import math
import subprocess
import time
import pytest
sys.path.insert(0, "OSP_test_automation/osp_api_and_common_utils")
from volume import Cinder
from nova import Nova
import common_utils
def get_possible_hugepage_instances(compute_ip, flavor_ram):
output = c... | tayseer619/openstack | TestCases/Hugepage/hpg_utils.py | hpg_utils.py | py | 3,745 | python | en | code | 1 | github-code | 90 |
43033263987 | __author__ = "Kaustav Bhattacharya"
__credits__ = "Kaustav Bhattacharya"
__maintainer__ = "Kaustav Bhattacharya"
__email__ = "kaustavofficial1808@gmail.com"
# Problem statement
#Sol - write down the solution in formal language
from typing import List
class Solution:
def findMaxConsecutiveOnes(self, nums: List... | kaustav1808/competitive-programming | StriverCPSheet/Arrays/Easy/MaxConsucativeOne.py | MaxConsucativeOne.py | py | 1,147 | python | en | code | 0 | github-code | 90 |
34562497104 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core
class Regularizer(object):
def __init__(self):
pass
'''
Adds regularization to train_net for given parameter. Its f... | facebookarchive/AICamera-Style-Transfer | app/src/main/cpp/caffe2/python/regularizer.py | regularizer.py | py | 1,691 | python | en | code | 81 | github-code | 90 |
71126541096 | """
Given a list of track data, return the IDs of active tracks.
The list may contain duplicate tracks.
[
{
'id': 1,
'name': 'In Arms',
'active': True,
},
{
'id': 2,
'name': 'Deep Dip',
'active': False,
},
... | karinamzalez/beatport_coding_challenge | python/challenges/active_tracks.py | active_tracks.py | py | 771 | python | en | code | 0 | github-code | 90 |
39561797548 | def longestCommonPrefix( strs) -> str:
smallest=0
for i in range(len(strs)):
if len(strs[smallest])>len(strs[i]):
smallest=i
length=len(strs[smallest])
m=None
if length==0:
return ''
else:
for j in range(le... | bre01/studypython | leetcode/testmost.py | testmost.py | py | 550 | python | en | code | 0 | github-code | 90 |
12754384577 | from flask import Flask
from flask_restful import Api,Resource
app = Flask(__name__)
api = Api(app)
users = {"Tim" : {"age":20, "gender": "male"},
"Bill" : {"age":30, "gender": "male"},
"Jam" : {"age":24, "gender": "male"},
"Lisa" : {"age":56, "gender": "female"}
}
class User(Re... | Locchuong96/backend | Flask/flask_restapi10/main.py | main.py | py | 488 | python | en | code | 3 | github-code | 90 |
17251483618 | import logging
import requests
from netmonitor.notifiers.terminal import Terminal
class Pushover(Terminal):
def __init__(self, user: str, token: str, title: str) -> None:
super().__init__(title=title)
self._user = user
self._token = token
self._logger = logging.getLogger(self.__c... | pseudorandomuser/netmonitor | netmonitor/notifiers/pushover.py | pushover.py | py | 902 | python | en | code | 0 | github-code | 90 |
5969370604 | import pygame
import random
import math
import csv,os
class Enemy(pygame.sprite.Sprite):
def __init__(self,color, height, width):
super().__init__()
self.height = height
self.width = width
self.image = pygame.Surface([35, 35])
self.image.fill(color)
self.rect = self.... | DenizzG/A-level-BTD | Problem - X wont get incremented because if wont run/enemy_main.py | enemy_main.py | py | 3,024 | python | en | code | 0 | github-code | 90 |
18487807463 | # 给你一个数组 points 和一个整数 k 。数组中每个元素都表示二维平面上的点的坐标，并按照横坐标 x 的值从小到大排序。也就是说 points[i] =
# [xi, yi] ，并且在 1 <= i < j <= points.length 的前提下， xi < xj 总成立。
#
# 请你找出 yi + yj + |xi - xj| 的 最大值，其中 |xi - xj| <= k 且 1 <= i < j <= points.
# length。
#
# 题目测试数据保证至少存在一对能够满足 |xi - xj| <= k 的点。
#
#
#
# 示例 1：
#
# 输入：points = [... | comeonboi/algorithm-practise | loong's code/leetcode/editor/cn/[1499]满足不等式的最大值.py | [1499]满足不等式的最大值.py | py | 1,965 | python | zh | code | 5 | github-code | 90 |
21794554600 | if step == 'UPSAMPLE':
filename = '' #@param{type:'string'}
choice = 1 #@param{type:'number'}
choice -= 1
cut_from_seconds = 0 #@param{type:'number'}
if filename:
zs = t.load(f'{hps.name}/{filename}.zs')
else:
assert zs is not None, 'No filename given and no zs loaded'
print(f'Loaded zs of ... | vzakharov/jukebox-webui | legacy/7_upsample.py | 7_upsample.py | py | 2,597 | python | en | code | 80 | github-code | 90 |
18809843582 | from uuid import uuid1
import requests
class BlahajWrapper:
def __init__(self, url):
self.base_url = url
self.headers = {
"content-type": "application/json"
}
def create_unit(self, name, code, level, semesters, academic_unit, cp, desc):
location = "/units"
... | chriswuaus/2022SYNCSHACK | backend/scraper/blahaj_wrapper.py | blahaj_wrapper.py | py | 3,013 | python | en | code | 0 | github-code | 90 |
18015828289 | sel=4
#ICC-D3-J
if sel==1: print('Judgement')
#ARC030-A
if sel==2:
N=int(input())
K=int(input())
if 2*K-1<N:
print('YES')
else:
print('NO')
#AGC004-A
if sel==3:
A,B,C=map(int,input().split())
ans=10**19
whole=A*B*C
for a in range(A//2,A//2+2):
ans=min(ans,abs(wh... | Aasthaengg/IBMdataset | Python_codes/p03786/s145584846.py | s145584846.py | py | 1,442 | python | ja | code | 0 | github-code | 90 |
42093907841 | # https://www.acmicpc.net/problem/2252
import sys
from collections import deque
input = sys.stdin.readline
N, M = map(int, input().split())
q = [[] for _ in range(N+1)]
degree = {i:0 for i in range(1, N+1)}
for _ in range(M):
a, b = map(int, input().split())
q[a].append(b)
degree[b] += 1
dq = deque([])
r... | GreenClothes/BAEKJOON | coding_test/PART2/2252.py | 2252.py | py | 561 | python | en | code | 0 | github-code | 90 |
25929079301 | from __future__ import absolute_import, unicode_literals
from anyjson import loads
from django import forms
from django.conf import settings
from django.contrib import admin
from django.contrib.admin import helpers
from django.contrib.admin.views import main as main_views
from django.forms.widgets import Select
from ... | celery/django-celery | djcelery/admin.py | admin.py | py | 12,297 | python | en | code | 1,508 | github-code | 90 |
72201280618 | # Easy
# Given the root of a binary tree, return the postorder traversal of its nodes' values.
#
#
#
# Example 1:
# Input: root = [1,null,2,3]
# Output: [3,2,1]
# Constraints:
#
# The number of the nodes in the tree is in the range [0, 100].
# -100 <= Node.val <= 100
# Definition for a binary tree node.
# class Tree... | ArmanTursun/coding_questions | LeetCode/Easy/145. Binary Tree Postorder Traversal/145. Binary Tree Postorder Traversal.py | 145. Binary Tree Postorder Traversal.py | py | 1,737 | python | en | code | 0 | github-code | 90 |
25109395792 | import sys
numlist = list()
while (True):
inp = input('Enter a number: ')
if inp == 'done': break
try:
value = float(inp)
except:
print('Please enter a number')
sys.exit()
numlist.append(value)
average = sum(numlist) / len(numlist)
print('Average:', average)
print('Maxim... | randompythonstudent/learning-python | chapters/chapter 8/chapter8_exercise3.py | chapter8_exercise3.py | py | 370 | python | en | code | 1 | github-code | 90 |
32452853689 | from sys import stdin
import sys
stdin = open("input.txt", "r")
num = int(stdin.readline())
cost_ary = [list(map(int, stdin.readline().split(' '))) for _ in range(num)]
"""
의사 코드
비트마스킹으로 방문기록을 찍어놓은걸 잠시 비트맵이라고 편하게 부르자.
check[넘버][비트맵] = 남은 방문을 하는 것의 최소 비용
dfs(현재 넘버, 비트맵) -> 남은 방문장소를 들리는데의 최소비용을 출력... | choekko/algorithm | Python/inJungle/4주차/2098(외판원 순회).py | 2098(외판원 순회).py | py | 1,879 | python | ko | code | 0 | github-code | 90 |
18472786659 | N, K = map(int,input().split())
H = []
min_dif = 1000000000000000000000000
for n in range(N):
h = int(input())
H.append(h)
H.sort()
for i in range(N-K+1):
dif = H[i+K-1] - H[i]
if dif < min_dif:
min_dif = dif
print(min_dif) | Aasthaengg/IBMdataset | Python_codes/p03208/s305847332.py | s305847332.py | py | 243 | python | en | code | 0 | github-code | 90 |
18120781329 | import enum
class Direction(enum.Enum):
N = "N"
E = "E"
W = "W"
S = "S"
@classmethod
def value_of(cls, value):
return [v for v in cls if v.value == value][0]
class Dice:
def __init__(self, *value_list):
self.__value_list = list(value_list)
def rotate(self, direction):... | Aasthaengg/IBMdataset | Python_codes/p02383/s103358586.py | s103358586.py | py | 908 | python | en | code | 0 | github-code | 90 |
18216365099 | mod = 998244353
MAX = 2*10**5 + 100
inv=[0]*(MAX+1)
inv[1]=1
for i in range(2,MAX+1):
inv[i]=-(mod//i)*inv[mod%i]%mod
g1=[1,1]
g2=[1,1]
for i in range(2,MAX+1):
num_1=g1[-1]*i%mod
g1.append(num_1)
g2.append(g2[-1]*inv[i]%mod)
def cmb(n,r):
return g1[n]*g2[r]*g2[n-r]%mod
N, M, K = map(int,i... | Aasthaengg/IBMdataset | Python_codes/p02685/s540668154.py | s540668154.py | py | 493 | python | en | code | 0 | github-code | 90 |
2877872034 | # -*- coding: utf-8 -*-
import numpy as np
import matplotlib.pyplot as plt
def sigmoid(inX):
return 1.0 / (1 + np.exp(-inX))
# return np.exp(inX) / (1 + np.exp(inX))
np.random.seed(666)
def gradAscent(X_train, y_train, lr = 1e-3, loops = 500):
y_train = y_train.reshape([-1,1])
W = np.random.random([X_... | windmissing/MachineLearningInAction | 逻辑回归/logRegres.py | logRegres.py | py | 1,916 | python | en | code | 15 | github-code | 90 |
70451985257 | import glob
import os
import pandas as pd
import psycopg2
from sql_queries import *
def process_song_file(cur, filepath):
"""
Populate song and artist tables using given song data/JSON files.
"""
# open song file
df = pd.read_json(filepath, lines=True)
# insert song record
song_data = l... | v-dev/udacity-data-engineering-projects | projects/1_data-modeling-postgres/etl.py | etl.py | py | 4,049 | python | en | code | 0 | github-code | 90 |
1962126025 | import tensorflow as tf
class GaussianBiLSTM(object):
"""
Approximate the posterior distribution of a latent variable given an entity pair and context, i.e. q(u|x,y,c).
Parameters
----------
max_len : int
The maximum length of the contexts.
emb_dim : int
The dimensionality of ... | BenevolentAI/RELVM | models/unsup/recognition/__init__.py | __init__.py | py | 4,429 | python | en | code | 14 | github-code | 90 |
39129288509 | import cv2
import numpy as np
img = cv2.imread('../img/shapes_donut.png')
img2 = img.copy()
imgray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
ret, imthres = cv2.threshold(imgray, 127, 255, cv2.THRESH_BINARY_INV)
im2, contour, hierarchy = cv2.findContours(imthres, cv2.RETR_EXTERNAL, \
... | YeonwooSung/ai_book | CV/OpenCV/segmentation/cntr_hierarchy.py | cntr_hierarchy.py | py | 1,004 | python | en | code | 17 | github-code | 90 |
33377005887 | #!/usr/bin/env python3
"""Sample: Use only the renderer with the default map.
Press the arrow keys to move agent 1. Press the "S" key to take the "STAND"
action of agent 1.
"""
# Third-party modules
import gym
# User-defined modules
import pygame_rl.scenario.gridworld.renderer as renderer
def main():
# Create... | sc420/pygame-rl | sample/gridworld/renderer.py | renderer.py | py | 749 | python | en | code | 9 | github-code | 90 |
17945465959 | from sys import stdin
def input():
return stdin.readline().strip()
n, k = map(int, input().split())
xy = []
for _ in range(n):
i, j = map(int, input().split())
xy.append((i, j))
xy.sort()
# decide left, right, down
ans = 10 ** 19
for left in range(n-k+1):
for right in range(left+k-1, n):
hor... | Aasthaengg/IBMdataset | Python_codes/p03576/s943522147.py | s943522147.py | py | 682 | python | en | code | 0 | github-code | 90 |
33455336147 | from PIL import Image, ImageDraw, ImageEnhance, ImageFont
WIDTH = 2800
HEIGHT = int(WIDTH * 0.7)
def total_width(arr):
"""
Oblicza szerokosc przyszłego obrazu
:param arr:
:return:
"""
# total = []
# for w in arr:
# if w is not None:
# total.append(w.width)
# return... | anir001/SignalSeeker | util/img_procces.py | img_procces.py | py | 2,463 | python | en | code | 0 | github-code | 90 |
71388858858 | from selenium import webdriver
import time
dr = webdriver.Firefox()
dr.get("http://www.facebook.com")
el1 = dr.find_elements_by_css_selector("input[name='sex'][type='radio']")
for i in el1:
st = i.get_attribute("value")
print(st)
if st=="2":
print("its equal")
i.click()
... | Zafarhussain87/Selenium-with-Python | Basic Scripts/radioBtn_checkBox.py | radioBtn_checkBox.py | py | 344 | python | en | code | 0 | github-code | 90 |
18015510869 | N,C,K = map(int,input().split())
T = sorted([int(input()) for _ in range(N)])
ans = 1
count = 0
time = 0
start = -1
for i in range(N):
if start == -1:
start = i
if i != N-1:
if T[i+1] > T[start] + K or i+1 -start == C:
ans += 1
start = -1
print(ans) | Aasthaengg/IBMdataset | Python_codes/p03785/s759662182.py | s759662182.py | py | 277 | python | en | code | 0 | github-code | 90 |
74004099816 | #
# Task 1
school = {"9а": 23, "9б": 28, "9в": 27, "9м": 22, "9ф": 26, "9у": 31, "9л": 32}
school["9в"] = 35
school["9я"] = 41
del school["9м"]
print({sum(school.values())})
print(school)
#
# Task 2
synonyms={"чистый":"опрятный",
"грязный":"запачканный",
"магия":"волшебство"}
search=input("Введите ... | AlenaKunshtel91/Group_155 | Task #11.py | Task #11.py | py | 936 | python | en | code | 0 | github-code | 90 |
2861767085 | class FindFirstAndLastPosition:
def search_range(self, nums: [int], target: int) -> [int]:
# 这道题类似于自己实现 C++ 里的 upperBound 和 lowerBound 函数
left, right = 0, len(nums) - 1
if right == -1:
return [-1, -1]
elif right == 0:
if nums[0] is not target:
... | Teayyyy/LeetCodeStudy_Python_Algorithm | LeetCode101_Google/Half_Interval_Search/Find_First_Last_Position.py | Find_First_Last_Position.py | py | 1,520 | python | en | code | 0 | github-code | 90 |
18171797023 | import numpy as np
import random
def get_ewkm(data, cluster_num, lamda):
"""
Cluster all abstractions by EWKM
:param data: abstract set
:param cluster_num: integer
:param lamda: real number
:return: cluster_labels: cluster labels that abstracts belong to,
cluster_center... | qlcai/AdaPDTW-KMLMNN | code/ewkm.py | ewkm.py | py | 3,929 | python | en | code | 0 | github-code | 90 |
15731098309 | import os
from glob import glob
class Config(object):
# Overwrite env vars with a secret if available
for var in glob('/run/secrets/*'):
k = var.split('/')[-1].upper()
v = open(var).read().rstrip('\n')
os.environ[k] = v
# print(f'export {k}={v}')
SECRET_KEY = os.getenv('FL... | Howest-AI-Engineer-Essentials/2022-2023-ai-engineer-essentials-git-labo | web/webapp/config.py | config.py | py | 513 | python | en | code | 0 | github-code | 90 |
18407137209 | N, M, *X = map(int, open(0).read().split())
class UnionFind:
def __init__(self, n=0):
self.d = [-1]*n
self.u = n
def root(self, x):
if self.d[x] < 0:
return x
self.d[x] = self.root(self.d[x])
return self.d[x]
def unite(self, x, y):
x, y = self.... | Aasthaengg/IBMdataset | Python_codes/p03045/s928097080.py | s928097080.py | py | 797 | python | en | code | 0 | github-code | 90 |
7458635459 | from flask import Flask, render_template
from flask_login import LoginManager
from flaskext.markdown import Markdown
from pony.orm import db_session, desc
from blueprints.authorization import authorization_blueprint
from blueprints.character import character_blueprint
from blueprints.custom_page import custom_pages_bl... | nekonungstvo/mainsite | app.py | app.py | py | 2,003 | python | en | code | 0 | github-code | 90 |
1896312557 | import os
import sys
import re
import importlib
import glob
import typing
dirname = os.path.dirname(os.path.abspath(__file__))
project = os.path.dirname(dirname)
if project not in sys.path:
sys.path.insert(0, project)
from engine import Engine, PipeEngine # noqa
from engine import UCCIEngine # noqa
IGNORED = [... | StevenBaby/chess | src/engines/__init__.py | __init__.py | py | 1,140 | python | en | code | 27 | github-code | 90 |
41133760918 | import numpy
from curvefit.core.utils import sizes_to_indices
def unzip_x(x, num_groups, num_fe):
"""
{begin_markdown unzip_x}
{spell_markdown params}
# `curvefit.core.effects2params.unzip_x`
## Extract Fixed and Random Effects from Single Vector Form
## Syntax
```python
fe, re = cu... | ihmeuw-msca/CurveFit | src/curvefit/core/effects2params.py | effects2params.py | py | 6,496 | python | en | code | 192 | github-code | 90 |
24552955917 | from helper import *
@EUDFunc
def f1(a):
ret = EUDVariable(0)
if EUDIf()(a == 0):
ret << 1234
if EUDElse()():
ret << 5678
EUDEndIf()
return ret
@EUDFunc
def f2(a):
if EUDIf()(a == 0):
EUDReturn(1234)
if EUDElseIf()(a == 1):
EUDReturn(5678)
EUDEndIf()
... | phu54321/eudplib | tests/unittests/testmultiret.py | testmultiret.py | py | 544 | python | en | code | 13 | github-code | 90 |
17204594151 | import tkinter as tk
from turtle import back, bgcolor
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from matplotlib.backends.backend_tkagg import (FigureCanvasTkAgg,
NavigationToolbar2Tk)
import ts_config as cf
import tkinter.ttk as ttk
from tkinter.filedialog import askopenfile
class UpperR... | wregann/table-summarizer | table_summarizer_main.py | table_summarizer_main.py | py | 7,018 | python | en | code | 0 | github-code | 90 |
18289038139 | from collections import deque
import copy
H,W=map(int,input().split())
S=[[x for x in input()] for _ in range(H)]
start_list=[]
length=[[-1]*W for _ in range(H)]
ans=0
for i in range(H):
for j in range(W):
if S[i][j]=='.':
start_list.append((i,j))
for start in start_list:
h,w=start
d=deque([(h,w)])
... | Aasthaengg/IBMdataset | Python_codes/p02803/s548025758.py | s548025758.py | py | 996 | python | en | code | 0 | github-code | 90 |
73559661415 | class Computer:
def __init__(self, instructions, accValue, instructionIndex):
self.instructions = instructions
self.accValue = accValue
self.instructionIndex = instructionIndex
def acc(self, value):
self.accValue += value
self.instructionIndex += 1
def jmp(self, va... | mikeconroy/advent-of-code-20 | day8/day8.py | day8.py | py | 2,615 | python | en | code | 0 | github-code | 90 |
69859493736 | from django.shortcuts import render
from django.http import HttpResponseRedirect
from .forms import LaboratorioForm
from laboratorio.models import Laboratorio
# Create your views here.
def v_list(request):
consulta = Laboratorio.objects.all()
# if 'num_visits' in request.session:
# num = request.sessi... | diazalejandra/M7-Final-Datos-Django | laboratorio/views.py | views.py | py | 2,112 | python | en | code | 0 | github-code | 90 |
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