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
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values | pt stringclasses 78
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|---|---|---|---|---|---|---|---|---|---|---|---|---|
36988267529 | # TODO merge naive and weighted loss.
import torch
import torch.nn.functional as F
def weighted_nll_loss(pred, label, weight, avg_factor=None):
if avg_factor is None:
avg_factor = max(torch.sum(weight > 0).float().item(), 1.)
raw = F.nll_loss(pred, label, reduction='none')
return torch.sum(raw * w... | implus/PytorchInsight | detection/mmdet/core/loss/losses.py | losses.py | py | 4,005 | python | en | code | 845 | github-code | 36 |
39556953839 | import pytest
def Fibonacci(n):
# Check if input is 0 then it will print incorrect input
if n < 0:
print("Incorrect input")
# Check if n is 0 then it will return 0
elif n == 0:
return 0
# Check if n is 1,2 it will return 1
elif n == 1 or n == 2:
return 1
else:... | Orya-s/U_code-CyberArk | exercises/week5/PythonIntermediate/tests/test_ex_1.py | test_ex_1.py | py | 480 | python | en | code | 0 | github-code | 36 |
8617197984 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
""" Fetching user description and subscriptions given a channel id.
Usage: python 11_scrape_youtube_subscriptions.py
Input data files: data/mbfc/to_crawl_users.csv
Output data files: data/mbfc/active_user_subscription.json.bz2
"""
import up # go to root folder
import o... | avalanchesiqi/youtube-crosstalk | crawler/10_scrape_youtube_subscriptions.py | 10_scrape_youtube_subscriptions.py | py | 2,192 | python | en | code | 11 | github-code | 36 |
18369494327 | import pandas as pd
import numpy as np
from sklearn.naive_bayes import GaussianNB
from sklearn.svm import LinearSVC
from sklearn.metrics import confusion_matrix
#Function importing data from .txt file
def gatherData(directory):
with open(directory, "rb") as myFile:
data_table = pd.read_csv(myFile,... | trcz/human-activity-prediction | activity_prediction.py | activity_prediction.py | py | 1,585 | python | en | code | 1 | github-code | 36 |
8460120819 | #!/usr/bin/python3
# 文件名：client.py
# 导入 socket、sys 模块
import socket
from time import ctime
import sys
import os
import time
# host = socket.gethostname()
host = "172.16.1.14"
port = 6666
BUFSIZ = 1024
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s.connect((host, port))
while True:
d... | yywbxgl/onnx_tools | python_script/runtime_client.py | runtime_client.py | py | 1,107 | python | en | code | 2 | github-code | 36 |
35098607020 | import numpy as np
from numpy import genfromtxt
from functools import reduce
#--- przerabianie grzybow ---#
mushroom = genfromtxt('dane/mushroom.csv', delimiter=',' ,dtype = str)
classes = mushroom[:,0].copy()
last = mushroom[:,-1].copy()
training_set= mushroom
training_set[:,0]= last
training_set[:,-1]=clas... | iSeptio/archive_ML_mushroom_clasification_tree | lista1.py | lista1.py | py | 7,049 | python | en | code | 0 | github-code | 36 |
12487134300 | """
Functions - Lab
Check your code: https://judge.softuni.bg/Contests/Practice/Index/1727#0
SUPyF2 Functions-Lab - 01. Grades
Problem:
1. Grades
Write a function that receives a grade between 2.00 and 6.00 and prints the corresponding grade in words
• 2.00 – 2.99 - "Fail"
• 3.00 – 3.49 - "Poor"
• 3.50 – 4... | SimeonTsvetanov/Coding-Lessons | SoftUni Lessons/Python Development/Python Fundamentals September 2019/Problems And Files/12 FUNCTIONS - Дата 9-ти октомври, 1830 - 2130/01. Grades.py | 01. Grades.py | py | 831 | python | en | code | 9 | github-code | 36 |
13213708677 | from bson import ObjectId
from pydantic import BaseModel, Field
from typing import Optional
class PyObjectId(ObjectId):
@classmethod
def __get_validators__(cls):
yield cls.validate
@classmethod
def validate(cls, v):
if not ObjectId.is_valid(v):
raise ValueError("Invalid ob... | danbeaumont95/e-commerce-app-backend | app/address/model.py | model.py | py | 2,057 | python | en | code | 0 | github-code | 36 |
3270675130 | import os
import csv
File = os.path.join("Resources","election_data.csv")
count_khan = 0
count_correy = 0
count_votes = 0
count_Li = 0
count_tooley = 0
candidates = []
with open(File) as csvfile:
csvreader = csv.reader(csvfile, delimiter=",")
next(csvreader, None)
for row in csvreader:
... | Jrfelix13/Winning-Losing-with-Python | election_data_PY.py | election_data_PY.py | py | 1,839 | python | en | code | 0 | github-code | 36 |
2251108548 | """
PySynth Output Classes
We contain the PySynth OutputHandler,
and OutputControl.
Both classes handle and manage output from synth chains,
and send them to output modules attached to the Control class.
The Output class is the engine of this process,
pulling audio info and passing it along.
The OutputControl class ... | Owen-Cochell/python-audio-synth | pysynth/output/base.py | base.py | py | 18,629 | python | en | code | 1 | github-code | 36 |
9261684422 | from queue import PriorityQueue
class Graph:
# edges is a matrix and the size of the matrix depends on the number of vertices
def __init__(self, numOfVertices):
self.v = numOfVertices
self.visited = []
self.edges = [[-1 for i in range(numOfVertices)] for j in range(numOfVertices)]
... | adelewg/algorithms | dijkstra.py | dijkstra.py | py | 736 | python | en | code | 0 | github-code | 36 |
75071113384 | import requests
import pandas as pd
import numpy as np
import seaborn as sns
from bs4 import BeautifulSoup
import warnings
import nltk
#import surprise
import scipy as sp
from sklearn.metrics.pairwise import cosine_similarity
from sklearn.feature_extraction.text import CountVectorizer
from nltk.corpus import stopwords
... | Liixxn/MovieMender | tags.py | tags.py | py | 6,909 | python | en | code | 1 | github-code | 36 |
18457796268 | from __future__ import unicode_literals
from django.utils.translation import ugettext_lazy as _
from django.http import HttpResponse, HttpResponseRedirect
from django.shortcuts import render_to_response
import Image as PILImage
from uds.core.util.stats import charts
from uds.core.auths.auth import webLoginRequired
fr... | karthik-arjunan/testuds | server/src/uds/admin/views/reporting/usage.py | usage.py | py | 3,158 | python | en | code | 1 | github-code | 36 |
2847707503 | # Qus:https://leetcode.com/problems/maximal-rectangle/
# time complexity is O(n*2n)
# 2*n for calculating max Rectangle for a row
# n for number of rows in the matrix
def largestRectangleArea(h):
"""
:type heights: List[int]
:rtype: int
"""
# try to draw a graph first
# ... | mohitsinghnegi1/CodingQuestions | leetcoding qus/Maximal Rectangle.py | Maximal Rectangle.py | py | 2,343 | python | en | code | 2 | github-code | 36 |
34696314892 | #!/usr/bin/env python3
# coding : utf-8
# @author : Francis.zz
# @date : 2021-06-30 15:25
# @desc : 创建线程池
from multiprocessing import Pool
from concurrent.futures import ThreadPoolExecutor
import os, time, random
def call_func(name):
print('Run task %s (%s)...' % (name, os.getpid()))
# 调用cmd命令的任务函数
def cal... | zzfengxia/python3-learn | use_process_pool.py | use_process_pool.py | py | 1,365 | python | en | code | 0 | github-code | 36 |
7165695440 | def projectionArea(grid: list[list[int]]) -> int:
projection_x = sum(max(i) for i in grid)
projection_z = sum(j > 0 for i in grid for j in i)
projection_y = sum(max(s[i] for s in grid) for i in range(len(grid)))
return sum([projection_x, projection_y, projection_z])
grid = [[1, 2], [3, 4]]
# grid = [... | SafonovVladimir/mornings | 05 may/15.py | 15.py | py | 364 | python | en | code | 0 | github-code | 36 |
28518041187 | # Opus/UrbanSim urban simulation software.
# Copyright (C) 2010-2011 University of California, Berkeley, 2005-2009 University of Washington
# See opus_core/LICENSE
from urbansim.datasets.dataset import Dataset as UrbansimDataset
from opus_core.datasets.dataset_factory import DatasetFactory
from opus_core.storag... | psrc/urbansim | psrc_parcel/datasets/faz_persons_dataset.py | faz_persons_dataset.py | py | 4,601 | python | en | code | 4 | github-code | 36 |
18021354525 | # in aridity_comparison2
def IA_two(T):
if np.isnan(T):
return np.nan
elif ((T == 1) or (T == 2) or (T == 3) or (T == 4)):
return 10
else:
return 20
def RA_two(T):
if np.isnan(T):
return np.nan
elif (T == 1) or ((T == 2) or (T == 3) or (T == 4) or (T == 5)):
... | adrHuerta/GCC2_aridity_changes | src/utils.py | utils.py | py | 2,339 | python | en | code | 1 | github-code | 36 |
12573117304 | from tkinter import *
from datetime import date
from tkinter import messagebox
from PIL import Image
from tkinter.ttk import Combobox
import openpyxl
from openpyxl import Workbook
import pathlib
import tkinter as tk
import customtkinter
from tkinter import ttk
#initial
customtkinter.set_appearance_mode("System")
textco... | agarg1107/healthcare | doc.py | doc.py | py | 24,634 | python | en | code | 0 | github-code | 36 |
37775641382 | """给定一个排序链表，删除所有重复的元素，使得每个元素只出现一次。"""
# 定义一个单链表
class ListNode:
def __init__(self, x):
self.val = x
self.next = None
# val代表值，next代表指针
class Solution:
def deleteDuplicates(self, head: ListNode) -> ListNode:
if head is None or head.next is None:
return head
# head是... | cookie-rabbit/LeetCode_practice | easy/83/1.py | 1.py | py | 1,027 | python | zh | code | 1 | github-code | 36 |
41524333829 | import cv2 # working with, mainly resizing, images
import numpy as np # dealing with arrays
import os # dealing with directories
from random import shuffle # mixing up or currently ordered data that might lead our network astray in training.
from tqdm import tqdm # a nice p... | MourabitElBachir/Face_Detection_Deep_Learning | code/preparing_data.py | preparing_data.py | py | 1,845 | python | en | code | 0 | github-code | 36 |
1408772797 |
name = "on-temp-status-change-notifier-slack"
add_files = (
"ruleset.py",
)
add_modules = True # find modules in directory (folders having __init__.py file) and add them to container
extra_commands = (
# ("RUN", "pip install my-wonderful-lib==1.0")
)
labels = {
"networking.knative.dev/visibility": "clu... | airspot-dev/iot-demo | rulesets/apps/class-a/on-temp-status-change-notifier-slack/__deploy__.py | __deploy__.py | py | 1,243 | python | en | code | 1 | github-code | 36 |
69816265383 | """Stream type classes for tap-sharepointsites."""
from singer_sdk.typing import (
DateTimeType,
ObjectType,
PropertiesList,
Property,
StringType,
)
from tap_sharepointsites.client import sharepointsitesStream
class ListStream(sharepointsitesStream):
"""Define custom stream."""
primary_... | storebrand/tap-sharepointsites | tap_sharepointsites/streams.py | streams.py | py | 1,003 | python | en | code | 2 | github-code | 36 |
38164483571 | import itertools
import matplotlib as mpl
import matplotlib.pyplot as plt
import numpy as np
from matplotlib import gridspec
from scipy import linalg
from scipy.optimize import basinhopping
from skimage.filters import gabor_kernel
from skimage.transform import resize
from sklearn import feature_selection
from sklearn.... | franzigeiger/training_reductions | analysis/fit_gabor_filters.py | fit_gabor_filters.py | py | 23,923 | python | en | code | 3 | github-code | 36 |
14415686598 | #!/usr/bin/env python3
from sklearn.gaussian_process import GaussianProcessRegressor
from sklearn.preprocessing import StandardScaler
from sklearn.svm import SVR
from sklearn.ensemble import RandomForestRegressor
class Surrogate:
""" Surrogate models
"""
def __init__(self, hparams):
self.model_n... | RobinSeaside/S4IS | src/Surrogate.py | Surrogate.py | py | 2,259 | python | en | code | 1 | github-code | 36 |
25525348936 | OKGREEN = '\033[92m'
OKCYAN = '\033[96m'
WARNING = '\033[93m'
ENDC = '\033[0m'
data = [29, 10, 14, 37, 14, 20, 7, 16, 12]
def PrintColorData(data, i, j):
for index, value in enumerate(data):
if i-j > 1 and index == i-1:
print(OKCYAN + str(value) + ENDC, end=' ')
elif index == j:
... | KonkanokAinthong/Lab8 | Ex3.py | Ex3.py | py | 1,285 | python | en | code | 0 | github-code | 36 |
36048548399 | import os
from uuid import uuid4
from datetime import timedelta
SECRET_KEY = os.urandom(32)
# Grabs the folder where the script runs.
basedir = os.path.abspath(os.path.dirname(__file__))
# create JWT secretkey
JWT_SECRET_KEY = 'm.f.ragab5890@gmail.comtafi_5890_TAFI'
JWT_ACCESS_TOKEN_EXPIRES = timedelta(hours=12)
# Ena... | mfragab5890/shop-sales | backend/instance/config.py | config.py | py | 478 | python | en | code | 0 | github-code | 36 |
16354953325 | import configparser # implements a basic configuration language for Python programs
import os # provides a portable way of using operating system dependent functionality
import sys # system-specific parameters and functions
import numpy as np # the fundamental package for scientific computing with Python
from logz... | cmikke97/Automatic-Malware-Signature-Generation | src/Model/nets/generators/dataset.py | dataset.py | py | 6,823 | python | en | code | 9 | github-code | 36 |
23620664915 | import math
import sys
import os
import itertools
import traceback
import copy
import datetime
from collections import deque
from collections import Counter
from random import shuffle, choice
import json
import multiprocessing
"""
Hexagons are handled in the QRS coordinate system.
Refer to https://www.redblobgames... | volzotan/LensLeech | pattern/generate.py | generate.py | py | 26,043 | python | en | code | 5 | github-code | 36 |
70441911783 | import sys
input = sys.stdin.readline
class Solution:
def __init__(self) -> None:
numCoins, target = map(int, input().split())
coins = []
for _ in range(numCoins):
coins.append(int(input()))
self.minimumUseOfCoins(coins, target)
def minimumUseOfCoins(self, coins: li... | cjy13753/algo-solutions | baekjoon/solution_11047.py | solution_11047.py | py | 595 | python | en | code | 0 | github-code | 36 |
19561046033 | #!/usr/bin/python
# -*- coding: UTF-8 -*-
"""
@author:Scdh
@file:#121 卖股票的最佳时机.py
@time:2020/11/11
"""
class Solution:
"""
本题自己的解法和官方的解法，自己写的解法直接用双指针来操作的，官方解法通过比较当前最小值和当前最大收益来更新迭代寻找最大收益
"""
def maxProfit(self, prices):
"""
首先定义卖出价指针和买入价指针，循环判断卖出价-买入价的状态来判断当前最小买入价和更新最大收益
... | Scdh2020/LeetCode | simple/#121 卖股票的最佳时机.py | #121 卖股票的最佳时机.py | py | 2,911 | python | zh | code | 0 | github-code | 36 |
19739037889 | from vigilo.models.tables import Dependency
from vigilo.models.demo import functions
from vigilo.models.test.controller import ModelTest
class TestDependency(ModelTest):
"""Test de la table Dependency."""
klass = Dependency
attrs = {
'weight': 42,
'warning_weight': 24,
}
def __i... | vigilo/models | src/vigilo/models/test/test_dependency.py | test_dependency.py | py | 800 | python | en | code | 4 | github-code | 36 |
39916650041 | import scrapy
class QuotesSpider(scrapy.Spider):
name="quotes"
start_urls=[
'http://quotes.toscrape.com/page/1/'
]
def parse(self,response):
for quote in response.xpath('//div[@class="quote"]'):
yield {
'page':response.url,
'text':quote.xpath... | nigo81/python_spider_learn | scrapy/tutorial/tutorial/spiders/queots_spider.py | queots_spider.py | py | 714 | python | en | code | 3 | github-code | 36 |
36120731703 | import yaml
from termcolor import colored
import torch
from fortex.nltk import NLTKSentenceSegmenter, NLTKWordTokenizer, NLTKPOSTagger
from forte.common.configuration import Config
from forte.data.multi_pack import MultiPack
from forte.data.readers import MultiPackTerminalReader
from forte.common.resources import Reso... | asyml/forte | examples/chatbot/chatbot_example.py | chatbot_example.py | py | 4,076 | python | en | code | 230 | github-code | 36 |
38380409709 | import pytest, os
import warnings, collections, operator, logging
import generic_utils
## see https://docs.pytest.org/en/latest/example/simple.html#incremental-testing-test-steps
from typing import Dict, Tuple
# store history of failures per test class name and per index in parametrize (if parametrize used)
##_test_f... | cp4cds/cmip6_range_check_old | scripts/local_pytest_utils.py | local_pytest_utils.py | py | 11,159 | python | en | code | 1 | github-code | 36 |
73566784744 | def main():
while True:
print("Meniu:")
print("1. Rezolvare expresii matematice")
print("2. Evaluare expresii booleane")
print("3. Verificare tip și valoare expresii")
print("4. Calcul valoare variabilă întreagă z")
print("5. Comparare și explicație expresii")
... | KetSchnaider/Anul2 | PI/Lab1/lab1.py | lab1.py | py | 6,272 | python | ro | code | 0 | github-code | 36 |
43104587774 | import csv
source = open("Protein.txt", "r")
matrix = [[], [], [], [], [], []]
for x in range(6):
line = source.readline()
while True:
c = source.read(1)
if c == '>' or c=='':
break
if (c!='\n' and c!='\r') :
matrix[x].append(c)
compare = open("BLOSUM62.txt", "r")
compareator = [[0 for x in range(25)] ... | Ras-al-Ghul/UPGMA-Phylogenetic-Tree | Q2a.py | Q2a.py | py | 1,420 | python | en | code | 2 | github-code | 36 |
7785334319 | # Phylogenetic Trees via Maximum Parsimony
# Ran Libeskind-Hadas
# April 2016
# This program uses the Maximum Parsimony Method and Nearest Neighbor
# Interchange to find a local optimum maximum parsimony phylogenetic tree
# with branch lengths.
# The input comprises a list of tip names, a list of characters, and
# a ... | mattthewong/computational_biology | HW4/parsimony.py | parsimony.py | py | 8,943 | python | en | code | 0 | github-code | 36 |
40569343475 | from PySide6.QtWidgets import (
QComboBox,
QGroupBox,
QHBoxLayout,
QLabel,
QVBoxLayout,
)
from game.ato.flight import Flight
from game.ato.starttype import StartType
from game.theater import OffMapSpawn
from qt_ui.models import PackageModel
class QFlightStartType(QGroupBox):
def __init__(self... | dcs-liberation/dcs_liberation | qt_ui/windows/mission/flight/settings/QFlightStartType.py | QFlightStartType.py | py | 1,582 | python | en | code | 647 | github-code | 36 |
9461209696 | ''' Scheduling Aircraft Landing (Static Case) with multiple runways
Landing times of aircrafts are determined satisfying certain constraints
Constraints- The aircraft should land within a predetermined time interval
Clearance time between two landings should be satisfied if they are landing on ... | ayushjain1594/Aircraft-Landing-Schedule | static_case_multi_runway/schedule.py | schedule.py | py | 5,577 | python | en | code | 3 | github-code | 36 |
3298505771 | import socket
class ACPCCommunication:
def __init__(self, sock=None):
if sock is None:
self.sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
else:
self.sock = sock
self.name = "ACPCCommunication"
self.MSGLEN = 1024
def connect(self, host, port)... | jangmino/RLPokerBot | ACPCCommunication.py | ACPCCommunication.py | py | 1,295 | python | en | code | 0 | github-code | 36 |
8757575635 | # -*- coding: utf-8 -*-
# License AGPL-3.0 or later (http://www.gnu.org/licenses/agpl).
import itertools
import json
from odoo import models, fields, api, _
from odoo.addons.sale.models.sale import SaleOrderLine as SOL
from odoo.addons.sale.models.sale import SaleOrder as SO
from odoo.tools import float_compare, float... | odof/openfire | of_sale/models/of_sale.py | of_sale.py | py | 69,395 | python | en | code | 3 | github-code | 36 |
70618999465 | import rospy
from std_msgs.msg import Float32
from std_msgs.msg import Int16
import time
a = 0
rospy.init_node('flag', anonymous=True)
def listener():
while 1:
flag = raw_input("enter flag: ")
if flag == "f":
global a
a = a+1
#print(a)
rospy.loginfo... | vamsi1961/auv-beginner-tutorials | src/log.py | log.py | py | 456 | python | en | code | 0 | github-code | 36 |
14065564339 | N = int(input())
switch = list(map(int, input().split()))
S = int(input())
s_n = []
s_change = [1, 0]
for i in range(S):
s, n = map(int, input().split())
s_n.append([s, n])
for j in range(S):
if s_n[j][0] == 1:
for m in range(N):
if not (m+1) % s_n[j][1]:
switch[m] = s_... | yeon-june/BaekJoon | 1244.py | 1244.py | py | 842 | python | en | code | 0 | github-code | 36 |
6655725401 | import sys
def check(lst):
for i in range(0,len(lst)-1):
if lst[i] in (lst[:i]+lst[(i+1):]):
return False
return True
def main():
file=open('input','r')
lst=file.readlines()
for i in range(4,len(lst[0])-1):
if check(lst[0][i-4:i]):
print(i)
brea... | cos-imo/AdventOfCode | 2022/Jour 6/solution620221.py | solution620221.py | py | 359 | python | en | code | 0 | github-code | 36 |
32685087909 | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
# @author: orleven
from lib.core.env import *
import json
from sqlalchemy import and_
from flask import request
from flask import Blueprint
from lib.core.enums import ApiStatus
from lib.core.model import DNSLog
from lib.core.model import WebLog
from lib.hander import db
... | orleven/Celestion | lib/hander/apihander.py | apihander.py | py | 4,136 | python | en | code | 30 | github-code | 36 |
19589266829 | import json
import argparse
from sklearn.metrics import classification_report
from eval_F1 import exact_match_score, f1_score, metric_max_over_ground_truths
import numpy as np
def compute_span_f1(pred_span, gold_span):
gold_start, gold_end = gold_span
pred_start, pred_end = pred_span
tp, fp, fn = 0, 0, 0
... | blender-nlp/NewsClaims | eval/eval_claim_detection.py | eval_claim_detection.py | py | 8,147 | python | en | code | 17 | github-code | 36 |
42819009238 |
#06 - Write a program that asks the user for a number n and gives them the possibility to choose between computing the sum and computing the product of 1,…,n.
n = int(input("Insert a number:"))
choice = "x"
while choice.lower() != "s" and choice.lower() != "p":
choice = input("Do you want to compute\nThe sum of 1... | gvheisler/SimpleProblemsPython | SimpleProgrammingProblems/Elementary/06.py | 06.py | py | 660 | python | en | code | 0 | github-code | 36 |
75127650664 | import sys
from cravat import BaseAnnotator
from cravat import InvalidData
import sqlite3
import os
class CravatAnnotator(BaseAnnotator):
def annotate(self, input_data, secondary_data=None):
out = {}
achange = input_data['achange']
aa_321 = {
'Asp': 'D', 'Ser': 'S', 'Gln': 'Q', 'Lys... | KarchinLab/open-cravat-modules-karchinlab | annotators/dida/dida.py | dida.py | py | 2,863 | python | en | code | 1 | github-code | 36 |
17096699473 | import numpy as np
from sklearn.cluster import DBSCAN
from sklearn import metrics
input_file = ('data_perf.txt')
# Load data 載入資料
x = []
with open(input_file, 'r') as f:
for line in f.readlines():
data = [float(i) for i in line.split(',')]
x.append(data)
X = np.array(x)
# Find the best epsilon 找... | neochen2701/TQCPans | 機器學習Python 3答案檔/MLA202.py | MLA202.py | py | 1,602 | python | en | code | 4 | github-code | 36 |
28867458807 | #!/usr/bin/env python3
import zipfile
import wget
import re
# CoVoST2 translations file
covost2_url = 'https://dl.fbaipublicfiles.com/covost/covost2.zip'
# File with CommonVoice English sentences translated to Catalan by humans
covost2_source_file = 'validated.en_ca.en'
# Output file
covost2_target_file = 'covost2-... | jmontane/covost2-ca | get_covost2.py | get_covost2.py | py | 1,632 | python | en | code | 0 | github-code | 36 |
7789447417 | #Ques - 1 (Index Based Iteration)
lst=[10,346,895,8,4721]
sum=0
for i in range(5):
sum=sum+lst[i]
print(sum)
#List Based Iteration
sum=0
ist=[10,346,895,8,4721]
for value in ist:
sum=sum+value
print(sum)
| diamondzxd/Python-classes | 04th session/1st.py | 1st.py | py | 215 | python | en | code | 0 | github-code | 36 |
37458267107 | from pprint import pprint
from fukushima_population import data
import json
with open('periodic_table.json', 'r') as f:
t = json.load(f)
# print(t)
for i in range(len(t["elements"])):
n = t["elements"][i]["name"]
sym = t["elements"][i]["symbol"]
print(f"{n}という元素は{sym}と表記する")
# lookup = {}
# for e... | lbrichards/asaka | python_kiso_2021_05/dict_study.py | dict_study.py | py | 539 | python | en | code | 2 | github-code | 36 |
13941103507 | class Banka:
jazyk = 1
def __init__(ucet,heslo,suma,pokusy,cislo):
ucet.heslo = heslo
ucet.suma = suma
ucet.pokusy = pokusy
ucet.cislo = cislo
ucty = list()
file = open("ucty.txt", "r")
a = file.readline()
while a != "":
b = file.readline()
c = file.readline()
d = f... | pekacc/bankomat | bankomat.py | bankomat.py | py | 5,031 | python | en | code | 0 | github-code | 36 |
7958737031 | import argparse
import glob
import logging
import os
import random
import re
import shutil
import stat
import subprocess
# Path to the directory containing this source file.
SRC_DIR = os.path.dirname(os.path.realpath(__file__))
BINARIES_DIR = os.path.join(SRC_DIR, 'binaries')
def generate_shaders(no_of_files, output... | google/randomized-graphics-shaders | clusterfuzz-black-box-fuzzers/wgslsmith/run.py | run.py | py | 2,023 | python | en | code | 3 | github-code | 36 |
42839289218 | class tree_node:
def __init__(self,data):
self.data=data
self.right=None
self.left=None
class link_binary_search_tree:
def __init__(self):
self.root=None
def search_tree_add_data(self,data):
temp=self.root
if not temp:
self.root=tree_nod... | MANOJSAHIT/voice-assistant-on-calendar | link_binary_search_tree.py | link_binary_search_tree.py | py | 2,348 | python | en | code | 0 | github-code | 36 |
39955757095 | #!/usr/bin/env python
#This script is to sort ArXiv papers according to your interest using Machine Learning algorithms.
import os
import urllib
import itertools
import feedparser
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.metrics.pairwise import cosine_similarity
#from sklearn.linear_mod... | indiajoe/ArXivSorter | ArXivSorter.py | ArXivSorter.py | py | 13,331 | python | en | code | 0 | github-code | 36 |
23452539852 | # coding=utf-8
from oss2.api import *
from oss2.auth import *
from flask import current_app
def get_oss_auth_sigi():
# access_key_id, access_key_secret
access_key_id = current_app.config["ACCESS_KEY_ID"]
access_key_secret = current_app.config["ACCESS_KEY_SECRET"]
auth = AuthV2(access_key_id, access... | z1421012325/py_flask_online_classroom | OnlineClassroom/app/utils/aliyun_oss.py | aliyun_oss.py | py | 1,316 | python | en | code | 0 | github-code | 36 |
40364812017 | from testbot.executors.errors import ExecutorError
from testbot.executors.generic import GenericExecutor
from testbot.task import BotTask
class FileExistsExecutor(GenericExecutor):
def __init__(self, task: BotTask, submission_id: int, test_config_id: int):
super().__init__(task=task, submission_id=submiss... | tjumyk/submit-testbot | testbot/executors/file_exists.py | file_exists.py | py | 998 | python | en | code | 0 | github-code | 36 |
30296900686 | # QUESTION1(PART1)
def ask_question():
print("who is the founder of facebook?")
print("Mark Zukerbergdef")
ask_question()
ask_question()
ask_question()
ask_question()
ask_question()
# QUESTION1(PART2)
def ask_question():
i=0
while i<=100:
print("Who is the Founder of Facebook?")
print(... | 2Estranger/function | meraki1.py | meraki1.py | py | 1,070 | python | en | code | 1 | github-code | 36 |
74537281383 | #!/usr/bin/env python
# -*- coding: utf_8 -*
__author__ = "Benoit Delbosc"
__copyright__ = "Copyright (C) 2012 Nuxeo SA <http://nuxeo.com>"
"""
jenkviz.command
~~~~~~~~~~~~~~~~
Crawl a Jenkins to extract builds flow.
"""
import os
import logging
from model import open_db, close_db, list_builds
from crawl impo... | bdelbosc/jenkviz | jenkviz/command.py | command.py | py | 2,109 | python | en | code | 6 | github-code | 36 |
72079445865 | # 1717번
# 문제
# 초기에 {0}, {1}, {2}, ... {n} 이 각각 n+1개의 집합을 이루고 있다. 여기에 합집합 연산과, 두 원소가 같은 집합에 포함되어 있는지를 확인하는 연산을 수행하려고 한다.
# 집합을 표현하는 프로그램을 작성하시오.
# 입력
# 첫째 줄에 n(1 ≤ n ≤ 1,000,000), m(1 ≤ m ≤ 100,000)이 주어진다. m은 입력으로 주어지는 연산의 개수이다. 다음 m개의 줄에는 각각의 연산이 주어진다.
# 합집합은 0 a b의 형태로 입력이 주어진다. 이는 a가 포함되어 있는 집합과, b가 포함되어 있는 집합을 합친다... | kkhhkk/Study-Algorithms | backjoon/1717.py | 1717.py | py | 1,725 | python | ko | code | 0 | github-code | 36 |
15889446300 | """
This is a calculator for IRD tax ranges.
Reference: https://www.ird.govt.nz/income-tax/income-tax-for-individuals/tax-codes-and-tax-rates-for-individuals/tax-rates-for-individuals
"""
class TaxCalculator:
"""Tax calculator for IRD income brackets"""
def __init__(self, income, country='nz'):
self.in... | kris-classes/5421 | week_9/calculator.py | calculator.py | py | 975 | python | en | code | 0 | github-code | 36 |
32018992802 | # -*- coding: utf-8 -*-
"""
Author : Jason See
Date : 2022/6/9 15:50
Tool : PyCharm
Content:
"""
import json
import urllib.request
def get_response_dic(data):
url = 'http://192.168.30.128/api_jsonrpc.php'
header = {'Content-Type': 'application/json'}
data = bytes(data, 'utf-8')
request = urll... | zcsee/pythonPra | zabbix_pra/demo2.py | demo2.py | py | 2,611 | python | en | code | 0 | github-code | 36 |
22196508979 | import math
def lyapunov_exponent(d):
lamb = 0
for i in range(len(d)-2):
lamb += math.log((abs(d[i+2]-d[i+1])+1e-17)/(abs(d[i+1]-d[i])+1e-17))
lamb /= len(d)
return lamb
def logistic_f(alpfa, x0, n):
y = [0] * n
y[0] = x0
x = x0
for i in range(1, n):
x = alpfa*x*(1-x)
... | jecht1014/book | shumi/chaos/lyapunov_exponent.py | lyapunov_exponent.py | py | 649 | python | en | code | 0 | github-code | 36 |
35217612682 | from enum import IntEnum
import requests
from urllib.request import urlopen
import urllib
from selenium import webdriver
from bs4 import BeautifulSoup
import http.client
from openpyxl import Workbook
from openpyxl import load_workbook
from openpyxl.writer.excel import ExcelWriter
from openpyxl.cell.cell import ILLEGAL_... | Just-Doing/python-caiji | src/work/20220420/herealth.py | herealth.py | py | 7,238 | python | en | code | 1 | github-code | 36 |
31279302042 | import json
import ray
import requests
from fastapi import Body, FastAPI
from typing import List, Dict
from ray import serve
from ray.serve.handle import RayServeDeploymentHandle
from fi.service.lastpx import LastpxService
from fi.service.side import SideService
from fi.service.trddate import TrddateService
from fi.se... | tju-hwh/Yet-Another-Serverless-Benchmark | finra/ray/fi/main.py | main.py | py | 5,041 | python | en | code | 0 | github-code | 36 |
74194893543 | from torchvision import models
import torch.nn as nn
import torch.nn.functional as F
import torch
from initialize_delf import init_delf, init_densenet_TL, init_delf_TL, init_resnet101gem, init_delf_pca
def initialize_model(model_name, num_classes, freeze_layers, use_pretrained=True):
# Initialize these variables w... | kauterry/cs231n-retrieval | Kaushik/pretrain/model.py | model.py | py | 5,634 | python | en | code | 2 | github-code | 36 |
28328861625 | from asyncio.windows_events import NULL
import pstats
import sys
import tkinter as tk
import tkinter.ttk as ttk
import time
class Window(tk.Frame):
FRAME_PADX: int = 30
FRAME_PADY: int = 15
FRAME_SIZEX: int = 1000
FRAME_SIZEY: int = 300
BUTTON_SIZEX: int = 10
BUTTON_SIZEY: int = 30
BUTTON... | izumi0x01/psych-antam-advanced-experiment | myWindow.py | myWindow.py | py | 12,304 | python | en | code | 0 | github-code | 36 |
28313512486 | '''
task2, program 2
Graph implemented as an adjacent list
'''
class Graph:
def __init__(self, tmp):
self.res = []
i = 0
while i < len(tmp):
while len(self.res) <= tmp[i][0]:
self.res.append([])
while len(self.res) <= tmp[i][1]:
self.re... | lemishAn/prak_sem5 | task2/program4.py | program4.py | py | 1,036 | python | en | code | 0 | github-code | 36 |
28982520802 | import csv
from app import db, Category
with open('csv/categories.csv') as f:
i = 0
reader = csv.reader(f)
for row in reader:
"""if i == 0:
i += 1
continue"""
category = Category(
title=row[1],
category_id=row[0]
)
db.session... | cadilow/flask_5th_week_project | csv/import_csv_categories_to_db.py | import_csv_categories_to_db.py | py | 358 | python | en | code | 0 | github-code | 36 |
14128007238 | #!/usr/local/bin/ python3
# -*- coding:utf-8 -*-
# __author__ = "zenmeder"
class Solution(object):
# dp
def wordBreak(self, s, wordDict):
if not s:
return True
if not wordDict:
return False
length = len(s)
dps = ([True] if s[0] in wordDict else [False]) + [False]*(length-1)
for i in range(1, length):... | zenmeder/leetcode | 139.py | 139.py | py | 1,221 | python | en | code | 0 | github-code | 36 |
70014230503 | import sys
sys.stdin = open('input.txt', 'r')
sys.stdout = open('output.txt', 'w')
a = int(input())
l1 = []
while a>0:
c = a%2
l1.append(c)
a = a//2
for i in reversed(l1):
print(i,end = '')
| BEASTnORCA765/python-RISHAV | decimal to binary.py | decimal to binary.py | py | 209 | python | en | code | 0 | github-code | 36 |
31046654638 | import asyncio
import uuid
from pycaret.datasets import get_data
from sqlalchemy.sql import text
from .app.database import async_engine
from .app.models import (
Base,
Client,
Payment,
)
def split_data_client_payments():
df = get_data("credit").reset_index().rename(columns={"index": "ID"})
clien... | ryankarlos/FastAPI-example-ml | src/load_data_into_tables.py | load_data_into_tables.py | py | 1,599 | python | en | code | 1 | github-code | 36 |
26821754249 | from django.urls import path
from . import views
app_name = 'myids'
urlpatterns = [
path('', views.view_index, name='index'),
path('stat', views.view_stat, name='stat'),
path('conn', views.view_conn, name='conn'),
path('query_conn', views.query_conn, name='query_conn'),
path('query_stat', views.qu... | ponedo/Network-intrusion-detection-system-based-on-heuristic-downsampling-and-random-forest | web_module/myids/urls.py | urls.py | py | 351 | python | en | code | 3 | github-code | 36 |
22682169641 | import sys
import time
import numpy as np
import cv2
import blazeface_utils as but
# import original modules
sys.path.append('../../util')
from utils import get_base_parser, update_parser, get_savepath # noqa: E402
from model_utils import check_and_download_models # noqa: E402
from image_utils import load_image #... | axinc-ai/ailia-models-tflite | face_detection/blazeface/blazeface.py | blazeface.py | py | 7,170 | python | en | code | 14 | github-code | 36 |
12573475230 | def distributeChocolate(points):
l = [1] * len(points)
if len(l) < 1:
return 0
for x in range(+1, len(points)-1):
print(l)
if points[x-1] < points[x]:
l[x] += 1
if l[x] <= l[x-1]:
l[x] = (l[x-1] + 1)
if points[x] > points[x-1] and l[x] ... | AG-Systems/programming-problems | firecode/Chocolate-time!.py | Chocolate-time!.py | py | 1,220 | python | en | code | 10 | github-code | 36 |
18399557832 | from fastapi import APIRouter, Request, HTTPException, Body, Path
from linebot import LineBotApi, WebhookHandler
from linebot.exceptions import InvalidSignatureError
from linebot.models import StickerSendMessage, TextSendMessage
from machine_leanning.model_text_classifire import intent_model
from models.token_line impo... | watcharap0n/m-business | routers/wh_client.py | wh_client.py | py | 5,144 | python | en | code | 2 | github-code | 36 |
11263854107 | from dataclasses import dataclass
from enum import Enum
from typing import Optional
@dataclass
class Objective:
id: Optional[int]
user_id: int
name: str
initial_date: str
final_date: str
initial_investment: str
recurring_investment: str
goal_value: str
@dataclass
class User:
user... | brunotsantos1997/robson-api | app/data/model.py | model.py | py | 964 | python | en | code | 1 | github-code | 36 |
28068596152 | # 1. 별자리 만들기
# 특정 원소가 속한 집합을 찾기
def find_parent(parent, x):
# 루트 노드를 찾을 때까지 재귀 호출
if parent[x] != x:
parent[x] = find_parent(parent, parent[x])
return parent[x]
# 두 원소가 속한 집합을 합치기
def union_parent(parent, a, b):
a = find_parent(parent, a)
b = find_parent(parent, b)
if a < b:
p... | hwanginbeom/algorithm_study | 2.algorithm_test/20.11.29/20.11.29_wooseok.py | 20.11.29_wooseok.py | py | 3,501 | python | ko | code | 3 | github-code | 36 |
15444955984 | import tensorflow as tf
import pandas as pd
import numpy as np
from tensorflow.keras import layers
from tensorflow import feature_column
from matplotlib import pyplot as plt
# settings display options
pd.options.display.float_format = "{:.2f}".format
train_df = pd.read_csv("https://download.mlcc.google.com/mledu-dat... | vitoryeso/ml_crash_course | Binary_classification.py | Binary_classification.py | py | 1,179 | python | en | code | 0 | github-code | 36 |
18999820575 | import math
import re
with open("input.txt") as f:
original_pieces = [l.split("\n") for l in f.read().split("\n\n")]
def flip(tile): # along horizontal axis
return tile[::-1]
def v_flip(tile): # along vertical axis
return rotate270(flip(rotate(tile)))
def rotate(tile): # 90 degrees clockwise
r... | markwanders/AdventOfCode2020 | day20/jigsaw.py | jigsaw.py | py | 5,509 | python | en | code | 0 | github-code | 36 |
36173603713 | import random
import re
from collections import Counter, namedtuple
re_smiley = re.compile(r'[8;:=%][-oc*^]?[)(D\/\\]')
re_smiley_reversed = re.compile(r'[)(D\/\\][-oc*^]?[8;:=%]')
re_smiley_asian = re.compile(r'\^[o_.]?\^')
extra_smileys = ['<3', '\o', '\o/', 'o/']
re_smileys = [re_smiley, re_smiley_reversed, re_smil... | Thor77/MarkovPy | markov/markov.py | markov.py | py | 5,811 | python | en | code | 2 | github-code | 36 |
11537413568 | import cv2
def getdifference(a, b):
# test image
#a, b should be image.jpeg
image = cv2.imread('./frames/'+str(a))
gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
histogram = cv2.calcHist([gray_image], [0],
None, [256], [0, 256])
# data1 image
image = cv2.imread('./frames/'+str(b))
gray_image1 = c... | pa-kh039/nlp_video_descriptor | diff.py | diff.py | py | 618 | python | en | code | 0 | github-code | 36 |
12427720105 | from fhir.resources.bundle import Bundle
from fhir.resources.bundle import BundleEntry
from fhir.resources.encounter import Encounter
from . import merge_resources
from . import fhir_utils
# DataContract with the service indicates that a complete bundle entry containing resource will be sent
# This methond simply tr... | LinuxForHealth/fhir-resources | src/cdp_fhir_resource_mgmt/fhir/fhir_patient_batch_handler.py | fhir_patient_batch_handler.py | py | 8,242 | python | en | code | 0 | github-code | 36 |
26453541576 | import gmpy2
thenumber = 600851475143
prime = 2
answer = 0
while thenumber > 1:
if thenumber % prime == 0:
thenumber = thenumber//prime
continue
prime = gmpy2.next_prime(prime)
answer = prime
print(answer)
"""
gmpy2 에 있는 next_prime 을 썼음. 다음에 소수에 대한 함수들을 만들어봅시다요
""" | hojin-kim/projectEuler | prob003.py | prob003.py | py | 348 | python | ko | code | 2 | github-code | 36 |
2847651013 | # Qus:https://leetcode.com/problems/intersection-of-two-linked-lists/
# Definition for singly-linked list.
# class ListNode(object):
# def __init__(self, x):
# self.val = x
# self.next = None
class Solution(object):
def getIntersectionNode(self, headA, headB):
"""
:type head1, h... | mohitsinghnegi1/CodingQuestions | leetcoding qus/Intersection of Two Linked Lists.py | Intersection of Two Linked Lists.py | py | 1,665 | python | en | code | 2 | github-code | 36 |
72694771304 | from typing import List
class Solution:
def fourSumCount(self, A: List[int], B: List[int], C: List[int], D: List[int]) -> int:
if not A:
return 0
def sameNum(arr: List[int]) -> dict:
result = {}
for i in arr:
if i in result:
r... | githubli97/leetcode-python | 202011/20201127/q454.py | q454.py | py | 1,337 | python | en | code | 0 | github-code | 36 |
71961794665 | import math
import sys
import imutils
sys.path.append("..")
import cv2
import torch
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.patches as mpatches
from DatasetBuilding.drivingDataset import DrivingDataset
from torch.utils.data import DataLoader
from modelCNN import CNN
def drawLivePredictio... | FredCarvalhoOliveira/SelfDrivingCar | scripts/testing/evaluateLiveModelDriving.py | evaluateLiveModelDriving.py | py | 3,078 | python | en | code | 5 | github-code | 36 |
37319398459 | import torch
import numpy as np
from utils.misc import soft_update
from model.BCAgent import BCAgent
from model.utils.model import *
class BahaviorClone(object):
def __init__(self, name, params):
self.name = name
self.lr = params.lr
self.gamma = params.gamma
self.tau = params.t... | bic4907/Overcooked-AI | model/bc.py | bc.py | py | 2,420 | python | en | code | 19 | github-code | 36 |
40716413842 | while True:
try:
a=input()
a=list(a)
break
except:
print("Invalid input")
break
b=sorted(a,reverse=True)
if(a<b):
print(''.join(str(x) for x in b))
else:
print("impossible")
| vaseem14/GUVI | greatest.py | greatest.py | py | 188 | python | en | code | 0 | github-code | 36 |
39803344453 | from django.utils.translation import gettext_lazy as _
from django.db import models
import uuid
from internal_users.models import InternalUser
from customer_users.models import CustomerUser
from homepageapp.models import RepairOrdersNewSQL02Model as RepairOrder
from django.utils import timezone
from core_operations.mod... | zjgcainiao/new_place_at_76 | appointments/models.py | models.py | py | 5,933 | python | en | code | 0 | github-code | 36 |
74653289704 | # brute force solution
# don't have flexibility
# for learning purposes only
value = 200 # how many we want to collect
ways = 0 # how many ways to collect the target
for coin200 in range(value, -1, -200):
for coin100 in range(coin200, -1, -100):
for coin50 in range(coin100, -1, -50):
for coin20 in ra... | EricRovell/project-euler | deprecated/031/python/031.brute.py | 031.brute.py | py | 517 | python | en | code | 0 | github-code | 36 |
22622252680 | # 인식시킬 사진을 Clova API를 통해 요청을 보내, 인식 결과를 받아온다.
# req(파일) : 파일 데이터 전송
# 1. requests를 통해 Clova API 주소에 요청을 보낸다.
# 2. 응답 받은 json을 파싱하여 원하는 결과를 출력한다.
import requests
import os
from pprint import pprint as pp
naver_id = os.getenv('NAVER_ID')
naver_secret = os.getenv('NAVER_SECRET')
url = "https://openapi.naver.com/v1... | jungeunlee95/python-practice | API/NaverApi-Cloud9/workspace/naverapi_clova_face.py | naverapi_clova_face.py | py | 1,331 | python | ko | code | 0 | github-code | 36 |
42296358444 | import os
import logging
from xdg.BaseDirectory import xdg_config_home, xdg_state_home
from typing import Dict
import yaml
from .log import LogManager
from cfancontrol import __version__ as VERSION
class Environment(object):
APP_NAME: str = "cfancontrol"
APP_FANCY_NAME: str = "Commander²"
APP_VERSION: ... | maclarsson/cfancontrol | cfancontrol/settings.py | settings.py | py | 3,776 | python | en | code | 3 | github-code | 36 |
34994415249 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""http://www.pythonchallenge.com/pc/rock/arecibo.html:kohsamui:thailand"""
__author__ = "子風"
__copyright__ = "Copyright 2015, Sun All rights reserved"
__version__ = "1.0.0"
import get_challenge
from PIL import Image
import copy
import time
def getdata(url):
f = get... | z-Wind/Python_Challenge | Level32_Nonogram.py | Level32_Nonogram.py | py | 7,587 | python | en | code | 0 | github-code | 36 |
19089281909 | import datetime
from django.db import models
from imagekit.models import ImageModel
from structure.models import Author
from video.managers import PublishedVideoManager
from tagging.fields import TagField
class Video(ImageModel):
name = models.CharField(max_length=255)
slug = models.SlugField(unique=True)
... | queensjournal/queensjournal.ca | apps/video/models.py | models.py | py | 1,662 | python | en | code | 2 | github-code | 36 |
7648246473 | """
167. 两数之和 II - 输入有序数组
给定一个已按照 非递减顺序排列 的整数数组 numbers ，请你从数组中找出两个数满足相加之和等于目标数 target 。
函数应该以长度为 2 的整数数组的形式返回这两个数的下标值。numbers 的下标 从 1 开始计数 ，所以答案数组应当满足 1 <= answer[0] < answer[1] <= numbers.length 。
你可以假设每个输入 只对应唯一的答案 ，而且你 不可以 重复使用相同的元素。
示例 1：
输入：numbers = [2,7,11,15], target = 9
输出：[1,2]
解释：2 与 7 之和等于目标数 9 。因此 i... | Zoushuang86/Algorithm_interview_course_code | 03-Array/167-twoSum.py | 167-twoSum.py | py | 1,552 | python | zh | code | 0 | github-code | 36 |
6964335494 | from flask import Flask, render_template, request, url_for, jsonify
from base64 import b64encode, b64decode
app = Flask(__name__)
img = ""
@app.route('/upload', methods=["POST", "GET"])
def up():
global img
img = request.get_json()
return img["image"]
def main():
app.run()
if __name__ == "__main__"... | leesamu/garffiti | app/dummy_server.py | dummy_server.py | py | 333 | python | en | code | 0 | github-code | 36 |
69993904103 | import re
import base64
import xml.dom.minidom
import zlib
from xml.parsers.expat import ExpatError
def repr_saml_request(saml_str, b64=False):
"""Decode SAML request from b64 and b64 deflated
and return a pretty printed representation
"""
try:
msg = base64.b64decode(saml_str).decode() if b64... | italia/spid-django | src/djangosaml2_spid/utils.py | utils.py | py | 1,171 | python | en | code | 40 | github-code | 36 |
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