seq_id stringlengths 4 11 | text stringlengths 113 2.92M | repo_name stringlengths 4 125 ⌀ | sub_path stringlengths 3 214 | file_name stringlengths 3 160 | file_ext stringclasses 18
values | file_size_in_byte int64 113 2.92M | program_lang stringclasses 1
value | lang stringclasses 93
values | doc_type stringclasses 1
value | stars int64 0 179k ⌀ | dataset stringclasses 3
values | pt stringclasses 78
values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
20312544908 | from typing import Optional, List, Union
from hisim.simulator import SimulationParameters
from hisim.components import occupancy
from hisim.components import price_signal
from hisim.components import weather
from hisim.components import pvs
from hisim.components import smart_device
from hisim.components import building... | 2022Yalin/MSc | examples/modular_household.py | modular_household.py | py | 15,378 | python | en | code | 0 | github-code | 90 |
12511396881 | """Sc is a distributed service manager."""
import subprocess
import collections
import pathlib
import datetime
import re
import json
import yaml
import flask
import argh
import tabulate
# pyxtermjs imports
import flask_socketio
import pty
import os
import select
import termios
import struct
import fcntl
app = fl... | dvolk/sc | app.py | app.py | py | 25,130 | python | en | code | 0 | github-code | 90 |
12572266194 | from setuptools import setup, find_packages
with open('README.md') as f:
description = f.read()
setup(
name="libproton",
version="3.0",
packages=find_packages(),
description=description,
author="Peter Law",
author_email="PeterJCLaw@gmail.com",
install_requires=[
'PyYAML >=3.11,... | srobo-legacy/comp-libproton | setup.py | setup.py | py | 435 | python | en | code | 0 | github-code | 90 |
33242279996 | import cx_Oracle
def queryLastElement():
con = cx_Oracle.connect('arushi/harkersoftball')
cur=con.cursor()
obj = cur.execute('''select * from beeGenes where ref_num=147907436''')
for x in obj:
print(x)
print(x[1].read())
cur.close()
con.close()
queryLastElement(... | netyarushi/genome_sequence | 4060Final/qLastElement.py | qLastElement.py | py | 323 | python | en | code | 0 | github-code | 90 |
33857068662 | lista = [0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15]
lista1 = max([ szam for szam in lista if szam % 2 == 0])
a = []
for sor in lista:
if sor % 2 == 0:
a.append(sor)
print(max(a))
_____________________________________
'''
N�v;Oszt�ly;Els� nap;Utols� nap;Mulasztott �r�k
Balogh P�ter;6a;1;1;5
'''
class Hianyzas:
... | kovacsbalazspeter21/balazs | python/proz.py | proz.py | py | 1,665 | python | hu | code | 0 | github-code | 90 |
42967356298 | import logging
import requests
import uuid
LOGGER = logging.getLogger(__name__)
class BridgeInfo(object):
"""Lightweight helper class for storing bridge information."""
def __init__(self, name='', bridge_type=''):
"""Constructor.
Keyword Arguments:
name -- The name of the ... | asterisk/testsuite | tests/rest_api/bridges/error/error.py | error.py | py | 10,618 | python | en | code | 30 | github-code | 90 |
18360532959 | import numpy as np
N = int(input())
l = np.array(list(map(int,input().split())))
ans = 'Yes'
M = l[0]
for i in range(1,N):
if l[i] > l[i-1]:
M = l[i]
if l[i]< M-1:
ans ='No'
break
print(ans) | Aasthaengg/IBMdataset | Python_codes/p02953/s149825130.py | s149825130.py | py | 224 | python | en | code | 0 | github-code | 90 |
217730967 | import argparse
import time
import numpy as np
import os
import errno
import sys
from object_detector import ObjectDetector as TFObjectDetector
from object_detector_lite import ObjectDetector as LiteObjectDetector
import cv2
description_text = """\
Use this script to visualize network output on each frame of a video.
... | google/ftc-object-detection | training/camera_cv.py | camera_cv.py | py | 5,453 | python | en | code | 40 | github-code | 90 |
41191854000 | # Surfs Up
from flask import Flask, jsonify
# Add Dependencies
import numpy as np
import pandas as pd
import datetime
from dateutil.relativedelta import relativedelta
import sqlalchemy
from sqlalchemy.ext.automap import automap_base
from sqlalchemy.orm import Session
from sqlalchemy import create_engine, func, inspec... | shaymusmc/sqlalchemy-challenge | app.py | app.py | py | 5,854 | python | en | code | 0 | github-code | 90 |
73781566055 | import simdata_gen_func as sfunc
from scipy import stats
import numpy as np
import db_connect as dbc
import json
def trial_gen(prior, history,
lott_mag, lott_prob, sure_mag,
alpha0, beta0):
# generate trial by trial simulated data
# inputs:
# prior: prior prob of each strategy ... | boptimism/strategy_tagging | simdata_gen.py | simdata_gen.py | py | 2,712 | python | en | code | 0 | github-code | 90 |
17037824833 | from tkinter import *
from random import *
koloda = [2, 3, 4, 5, 6, 7, 8, 9, 10, 'Валет', 'Дама', 'Король', 'Туз'] * 4
shuffle(koloda)
count = 0
game_version = 0.1
def take():
global count, koloda
karta = koloda.pop()
if karta == 'Валет' or karta == 'Дама' or karta == 'Король':
karta = 10
... | rudiq4/BlackJack | main.py | main.py | py | 2,092 | python | en | code | 0 | github-code | 90 |
3720584561 | # class A:
# def __init__(self):
# self.x = 0 # public переменная
# self._x = 0 # private - не использовать!
# self.__x = 0 # hidden
#
#
# a = A()
# print(a.x)
# print(a._x)
# #print(a.__x)
#
# print(vars(a))
#
# print(a._A__x)
# class A:
# def __init__(self):
#... | alexzinoviev/itea_c | advance/advance_04_3.py | advance_04_3.py | py | 1,234 | python | ru | code | 0 | github-code | 90 |
13717372228 | import logging
from gym.spaces import Box, Discrete
import numpy as np
from typing import Dict, Tuple
from maddpg_torch_model import build_maddpg_models, _make_continuous_space
from ray.rllib.utils.torch_ops import apply_grad_clipping, huber_loss, l2_loss
from ray.rllib.utils.typing import TrainerConfigDict, TensorTy... | Rohan138/rllib-torch-maddpg | maddpg_torch_policy.py | maddpg_torch_policy.py | py | 11,922 | python | en | code | 8 | github-code | 90 |
35032378083 | #!/usr/bin/env python
from Bio import SeqIO
from Bio.Seq import Seq
from Bio.SeqRecord import SeqRecord
from selenium import webdriver
import re
from Bio import SeqIO
from math import log2
VAXIJEN_TARGET = "virus" # You need to replace the field
VAXIJEN_THRESHOLD = 0.5 # You need to replace the field
# The... | lioj/bioinformatics | py/sele_MHCII.py | sele_MHCII.py | py | 5,048 | python | en | code | 0 | github-code | 90 |
441495921 | import math
def el(i,j):
if (i*j) % 2 == 0:
return math.factorial(j)
else:
s = 0
for x in range(1, i+1):
s += x
return s
n = int(input("n: "))
m = int(input("m: "))
A = [
[el(i,j) for j in range(1,m+1)] for i in range(1,n+1)
]
A1 = []
for row in A:
A1 +=... | AntalDima1/labwork | 7/7_2.py | 7_2.py | py | 335 | python | en | code | 0 | github-code | 90 |
41579343127 | import torch
import time
import os
import shutil
import numpy as np
import random as rd
import argparse
from loguru import logger
from rdkit import Chem
from model.Lmser_Transformerr import MFT as DrugTransformer
# from model.Transformer import MFT as DrugTransformer
# from model.Transformer_Encoder import MFT as Drug... | CMACH508/AlphaDrug | mcts.py | mcts.py | py | 10,440 | python | en | code | 28 | github-code | 90 |
16902149307 | # 人物出现次数
import re
def item_num(hero):
with open('sanguo.txt') as f:
data = f.read().replace('/n', '')
name_num = re.findall(hero, data)
# print('主角 %s 出现 %s 次' % (hero, len(name_num)))
return len(name_num)
# 读取人物信息
name_dict = {}
with open('name.txt') as f:
names = f.re... | bobiwang/study | class_func/sanguo_v2.py | sanguo_v2.py | py | 460 | python | en | code | 0 | github-code | 90 |
73211685418 | #
# @lc app=leetcode id=124 lang=python
#
# [124] Binary Tree Maximum Path Sum
#
# @lc code=start
# Definition for a binary tree node.
# class TreeNode(object):
# def __init__(self, val=0, left=None, right=None):
# self.val = val
# self.left = left
# self.right = right
class Solution(object... | ashshekhar/leetcode-problems-solutions | 124.binary-tree-maximum-path-sum.py | 124.binary-tree-maximum-path-sum.py | py | 1,391 | python | en | code | 0 | github-code | 90 |
17971128559 |
def solve():
h, w = map(int, input().split())
n = int(input())
a = list(map(int, input().split()))
a_line = []
for i, i_cnt in enumerate(a):
color = i+1
for j in range(i_cnt):
a_line.append(color)
# wごとに区切ってlistに詰める
ans = [['']*w for _ in range(h)]
cur = 0
... | Aasthaengg/IBMdataset | Python_codes/p03638/s776620575.py | s776620575.py | py | 547 | python | en | code | 0 | github-code | 90 |
74750508455 | """
Buttons:
0 - A
1 - B
2 - X
3 - Y
4 - left shoulder button
5 - right shoulder button
6 - SYS
7 - Menu
11 - Stadia
12 - Box
"""
import os
# this will fool the system to think it has video access
os.environ["SDL_VIDEODRIVER"] = "dummy"
import asyncio
import pprint
import pygame
import threading
class GoogleStadia... | home9464/battletank | pad.py | pad.py | py | 5,482 | python | en | code | 0 | github-code | 90 |
17999607430 | # 18 - Python Kivy - Propriedades e atribuição simultânea
# https://www.youtube.com/watch?v=kDu1HJPruIE&list=PLsMpSZTgkF5AV1FmALMgW8W-TvrfR3nrs&index=18
from kivy.app import App
from kivy.uix.boxlayout import BoxLayout
from kivy.uix.screenmanager import ScreenManager, Screen
from kivy.core.window import Window
from ki... | LivioAlvarenga/Tutoriais_Kivy_KivyMD | Tutorial_Kivy_HashLDash/21kivy.py | 21kivy.py | py | 4,003 | python | pt | code | 1 | github-code | 90 |
29335905117 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Jul 16 00:42:57 2018
@author: jan
"""
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
# Importing the dataset
dataset = pd.read_csv('mushrooms.csv')
X = dataset.iloc[:, 1:23].values
y = dataset.iloc[:, 0].values
# Encoding cat... | omerkocbil/Artificial-Neural-Networks | my_ann_tensorflow_different_dataset.py | my_ann_tensorflow_different_dataset.py | py | 4,619 | python | en | code | 0 | github-code | 90 |
34191516368 | """Testing module graph case study."""
from graph import Graph
from copy import deepcopy
from dfs import DFS_complete
from bfs import BFS_complete
from topological_sort import topological_sort
from answers import *
def read_file(path):
"""Reads file and generates graph graph."""
# Text file parsing.
data... | vbshuliar/Programming_Projects_and_Labs_from_Ukrainian_Catholic_University | 02/programming/labs/12_data_structures_graphs/01_graph_map_testing/graph_map_testing.py | graph_map_testing.py | py | 2,326 | python | en | code | 1 | github-code | 90 |
8803799392 | import sys
import json
import numpy as np
from PIL import Image
from glob import glob
import os
import pandas as pd
import albumentations as alb
import cv2
def load_json(path):
d = {}
with open(path, mode="r") as f:
d = json.load(f)
return d
def IoUfrom2bboxes(boxA, boxB):
# determine the (x, y)-coordinate... | mapooon/SelfBlendedImages | src/utils/funcs.py | funcs.py | py | 3,527 | python | en | code | 147 | github-code | 90 |
31058411493 | # 第一种方式：csv文件，建立行列关键词。一个文件保存，太大，不建议。https://www.cnblogs.com/xiaozi/p/10488653.html
# 第二种方式：直接写无格式文件。来尝试。f.open() python 写入中文文本文件。
# 关于数据格式问题，选择字典dict方式考虑最合适。
import time
# 第一种情况：
# f = open("中文输入测试", "rt", encoding="utf-8")
# data = f.read()
# # print(data)
# f.close()
# 第二种情况：
# with open("中文输入测试", "rt", encoding=... | byst4nder/knowledge-structure | temp/配附/01数据存储和读取.py | 01数据存储和读取.py | py | 2,451 | python | en | code | 0 | github-code | 90 |
18292809519 | import sys
readline = sys.stdin.readline
MOD = 10 ** 9 + 7
INF = float('INF')
sys.setrecursionlimit(10 ** 5)
def main():
from itertools import permutations
N = int(readline())
P = tuple(map(int, readline().split()))
Q = tuple(map(int, readline().split()))
d = {x: i for i, x in enumerate(permuta... | Aasthaengg/IBMdataset | Python_codes/p02813/s227841911.py | s227841911.py | py | 414 | python | en | code | 0 | github-code | 90 |
18172410499 | import sys
input = sys.stdin.readline
#n = int(input())
#l = list(map(int, input().split()))
'''
a=[]
b=[]
for i in range():
A, B = map(int, input().split())
a.append(A)
b.append(B)'''
k=int(input())
if k%2==0:
print("-1")
sys.exit()
flg=False
cnt=0
a=7
for i in range(k):
cnt+=1
a%=k
... | Aasthaengg/IBMdataset | Python_codes/p02596/s060973254.py | s060973254.py | py | 418 | python | en | code | 0 | github-code | 90 |
73696376615 | import pytest
import requests
import json
import re
class TestMethods():
@pytest.yield_fixture()
def setUp(self):
self.url = "https://samples.openweathermap.org/data/2.5/forecast/hourly?q=London,us&appid=b6907d289e10d714a6e88b30761fae22"
response = requests.get(self.url)
# Response da... | govind794/APIAutomation | AllTestCase/TestMethods.py | TestMethods.py | py | 3,279 | python | en | code | 1 | github-code | 90 |
16144618405 | # -*- coding: utf-8 -*-
"""
对原始数据进行处理，获取神经网络模型输入的特征值。
@author:chenli0830(李辰)
@source:https://github.com/happynoom/DeepTrade
"""
import numpy
import talib
from LSTM_LOSS_MODEL.rawdate import read_sample_data
class ChartFeature(object):
def __init__(self, selector):
self.selector = selector
... | flag625/Stock_trade_predition | LSTM_LOSS_MODEL/chart.py | chart.py | py | 13,336 | python | en | code | 0 | github-code | 90 |
35224597569 | """
TODO:
- Sorting by standard deviation: Use coefficient of variation (std/mean)
or quartile coefficient of dispersion (Q3 - Q1) / (Q3 + Q1)
- Standard deviation for nominal: try out Variation ratio (1 - n_mode/N)
"""
import datetime
from enum import IntEnum
from itertools import chain
from typing import An... | biolab/orange3 | Orange/widgets/data/owfeaturestatistics.py | owfeaturestatistics.py | py | 36,801 | python | en | code | 4,360 | github-code | 90 |
6778904582 | import pandas as pd
from bs4 import BeautifulSoup
import re
import nltk
from nltk.corpus import stopwords
from sklearn.ensemble import RandomForestClassifier
import pickle
def testdata():
test = pd.read_csv("songs_test_set_data.csv")
def lyrics_to_words(raw_lyric):
lyric_text = BeautifulSoup(raw_lyr... | sohini-roy/major_project | songdata_test.py | songdata_test.py | py | 1,974 | python | en | code | 0 | github-code | 90 |
71168343977 | """ Clean String
DESCRIPTION/CONTEXT
---------------------
Orginally, used to remove crap from an email that I got from Google.
Here's a small passage of that email:
'...<1t1a1b1l1e1 1c1l1a1s1s1=1'1s1i1t1e1s1-1l1a1y1o1u1t1-1n1a1m1e1-1o1n1e1-1c1'
Basically, the process was to...
1) Copy email into string.txt
2... | eltonlaw/misc-scripts | clean_string.py | clean_string.py | py | 770 | python | en | code | 0 | github-code | 90 |
4399927922 | import pygame
class Explosion(pygame.sprite.Sprite):
def __init__(self, x, y):
super(Explosion, self).__init__()
self.images = []
for num in range(1,6):
img = pygame.image.load(f"./assets/explosion/exp{num}.png")
img = pygame.transform.scale(img, (100,100))
... | ronaldo-ramos-dev/space-ghost | explosion.py | explosion.py | py | 1,155 | python | en | code | 0 | github-code | 90 |
18373697819 | from collections import deque
N, K = map(int, input().split())
X = [list(map(int, input().split())) for _ in range(N - 1)]
tree = [[] for _ in range(N + 1)]
for a, b in X:
tree[a].append(b)
tree[b].append(a)
MAX = 10 ** 5 + 1
MOD = 10 ** 9 + 7
# Factorial
fac = [0] * (MAX + 1)
fac[0] = 1
fac[1] = 1
for i in... | Aasthaengg/IBMdataset | Python_codes/p02985/s466569212.py | s466569212.py | py | 1,024 | python | en | code | 0 | github-code | 90 |
1622518975 | import torch
import torch.nn as nn
from torch.nn.utils import weight_norm
def Conv2d(*args, **kwargs):
return weight_norm(nn.Conv2d(*args, **kwargs))
class Encoder(nn.Module):
def __init__(self, d_model):
super().__init__()
model = [
# 28 -> 28
Conv2d(1, d_model, (1,... | lgestin/generative_dl_toy_experiements | vae/unconditional/vae_uncond.py | vae_uncond.py | py | 2,785 | python | en | code | 0 | github-code | 90 |
12887079589 | # Import statements
from datetime import date
from django.template.loader import render_to_string
from django.db.models import Max, Avg
from django.http import JsonResponse
import django.utils.datetime_safe
from django.shortcuts import render, redirect, get_object_or_404
from item.models import ItemStats
from offer.for... | steinarb1234/Fire-Sale | fire_sale/offer/views.py | views.py | py | 10,494 | python | en | code | 0 | github-code | 90 |
17967558929 | from collections import defaultdict,deque
import sys
finput=lambda: sys.stdin.readline().strip()
def main():
n=int(finput())
edges=[tuple(map(int,finput().split())) for _ in range(n-1)]
q,k=map(int,finput().split())
xy=[tuple(map(int,finput().split())) for _ in range(q)]
ed=defaultdict(deque)
wt=defaultdic... | Aasthaengg/IBMdataset | Python_codes/p03634/s327647374.py | s327647374.py | py | 858 | python | en | code | 0 | github-code | 90 |
73875789738 | """beta_vae_train.py"""
import argparse
import sys
import os
import torch
import torch.nn.parallel
from torch.autograd import Variable
import torch.optim as optim
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
sys.path.append(os.path.abspath(os.path.join(BASE_DIR, '../../')))
sys.path.append(os.path.abspath(o... | ArthLeu/beta-capsnet | main/AE/train_ae.py | train_ae.py | py | 6,406 | python | en | code | 0 | github-code | 90 |
13002951418 | '''
1
10 6 12 8 9 4 1 3
'''
def code(queue):
while True:
for k in range(1, 5+1):
last = queue.pop(0)-k
if last <= 0:
last = 0
queue.append(last)
return queue
queue.append(last)
T = 10
for tc in range(1, T+1):
N = int(i... | hyeinkim1305/Algorithm | SWEA/D3/SWEA_1225_암호생성기.py | SWEA_1225_암호생성기.py | py | 592 | python | en | code | 0 | github-code | 90 |
18419573079 | #import numpy as np
#import functools
#import operator
#from itertools import combinations as comb
#from itertools import combinations_with_replacement as comb_with
#from itertools import permutations as perm
#import collections as C #most_common
#N = int(input())
#N,M= map(int,input().split())
#P = list(map(int,input... | Aasthaengg/IBMdataset | Python_codes/p03073/s288742088.py | s288742088.py | py | 604 | python | en | code | 0 | github-code | 90 |
41917554204 | # person = ["Quý", 20, 0, "Vĩnh Phúc", 2, ["Manga","Coding"], 3, 20]
#dictionary
person = {
"name": "Quy",
"Age": 20,
"ex": 0,
"favs": ["Manga","Coding"]
}
# print(person)
# name = person["favs"]
# print(name)
person["length"] = 20
# print(person)
person["length"] = 10
# print(person)
# key = "le... | duyvukhanh/vukhanhduy-fundamental-c4e18 | session5/test.py | test.py | py | 585 | python | en | code | 0 | github-code | 90 |
33885507418 | """ business days module """
from datetime import timedelta, date
from collections.abc import Generator
import holidays
def business_days_list(start_date: date, end_date: date) -> list[date]:
""" business days func """
working_days = []
us_holidays = holidays.UnitedStates()
for num in range((end_da... | t4d-classes/advanced-python_04192021 | python-demos/datetime_demos/business_days.py | business_days.py | py | 1,313 | python | en | code | 1 | github-code | 90 |
44790022216 | from rest_framework.pagination import PageNumberPagination
from rest_framework.response import Response
from math import ceil
class PaginationToFrontEnd(PageNumberPagination):
"""
Paginacao criada para facilitar a implementacao do front-end com algumas novas variaveis retornadas
"""
page_size = 15
... | SobrancelhaDoDragao/Sistema-Biblioteca | ApiBiblioteca/Api/pagination.py | pagination.py | py | 2,204 | python | en | code | 5 | github-code | 90 |
7462326139 | import argparse
import os
from bs4 import BeautifulSoup
from urllib.request import urlopen
from urllib.request import URLopener
import sanity_check
BASE_URL = "http://flibusta.is/sql/"
parser = argparse.ArgumentParser(description="Downloads data dumps and converts to sqlite3")
parser.add_argument('--skip_downloa... | sgzmd/flibustier | import/importer.py | importer.py | py | 1,807 | python | en | code | 0 | github-code | 90 |
8447024767 | '''
wapp to check if given string are anagrams
s1 = listen
s2 = silent
'''
s1 = input("enter first string ")
s2 = input("enter second string ")
ls1= sorted(s1)
ls2= sorted(s2)
if(ls1 == ls2):
print("anagram")
else:
print(" no anagram")
| dravya08/workshop-python | L5/p4.py | p4.py | py | 241 | python | en | code | 0 | github-code | 90 |
22771344786 | from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.support.ui import Select
import time
import pyrebase
config = {
"apiKey": "AIzaSyAHYW60cI1kChuFx3Z__DeLvKBGyrGLkZg",
"authDomain": "gnu6-d9c5b.firebaseapp.com",
"databaseURL": "https://gnu6-d9c5b-default-rtdb.f... | GoSeongJin/gnu-app | Server_gnu/DB_Initialization.py | DB_Initialization.py | py | 2,328 | python | en | code | 0 | github-code | 90 |
17984992819 | s=input()
an=[]
for m in "qwertyuiopasdfghjklzxcvbnm":
i=0
d=[len(s)-j for j in range(len(s))]
while s.find(m,i)>=0:
t=s.find(m,i)
for j in range(t+1):
d[j]=min(t-j,d[j])
i=t+1
mi=0
for i in range(len(s)):
mi=max(mi,d[i])
an.append(max(d))
print(min(an))
| Aasthaengg/IBMdataset | Python_codes/p03687/s944262960.py | s944262960.py | py | 290 | python | en | code | 0 | github-code | 90 |
35225743429 | import os
import shutil
from argparse import ArgumentParser
from os import path as osp
from pathlib import Path
import pandas as pd
def file_info(f):
split = f.split('_')
cid, assessment, group, date, time, camera = split
return cid, assessment, group, date, time, camera
def get_data_from_pc(src_root, ds... | TalBarami/SkeletonTools | skeleton_tools/utils/autism_center_data_storage.py | autism_center_data_storage.py | py | 3,035 | python | en | code | 0 | github-code | 90 |
35615688597 | import hypothesis
import numpy as np
import pytest
from epyg import epyg as epyg
from epyg import operators
from hypothesis import assume, example, given
@pytest.fixture
def state():
return epyg.epg()
def test_call_multiply():
a = epyg.epg()
b = epyg.epg()
T = operators.Transform(alpha=90.0, phi=0.0... | brennerd11/EpyG | tests/test_operators.py | test_operators.py | py | 2,895 | python | en | code | 4 | github-code | 90 |
12333429097 | #!/usr/bin/env python3
# robot_say_hi.py
class Robot:
def __init__(self,
name=None,
build_year=None):
self.name = name
self.build_year = build_year
def say_hi(self):
if self.name:
print("Hi, I am " + self.name)
else... | philippdrebes/MSCIDS_PDS01 | Pycharm/SW08/exercise/_01_Robots_parts1/robot_say_hi.py | robot_say_hi.py | py | 674 | python | en | code | 0 | github-code | 90 |
22945145608 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import os
from typing import Dict, Any, List
from datetime import datetime
from collections import Counter
from tabun_stat import utils
from tabun_stat.processors.base import BaseProcessor
class CharsProcessor(BaseProcessor):
def __init__(self) -> None:
sup... | andreymal/stuff | tabun_stat/tabun_stat/processors/chars.py | chars.py | py | 2,376 | python | en | code | 7 | github-code | 90 |
72685904936 | import jieba
def preprocess(ctx):
import re
pattern = re.compile(r'\t|\n|\.|-|:|;|\)|\(|\?|" ')
ctx = re.sub(pattern, '', ctx)
return ctx
def readfile(path: str, suff: str = "txt"):
with open(path + "." + suff, mode="r", encoding="utf-8") as file:
f = file.read()
return f
def genp... | DaoMingze/yztool | wordart.py | wordart.py | py | 2,527 | python | en | code | 1 | github-code | 90 |
18527272609 | import sys
input=sys.stdin.readline
N,C=map(int,input().split())
d=[list(map(int,input().split())) for i in range(C)]
c=[list(map(int,input().split())) for i in range(N)]
ans=10**18
mod0=[]
mod1=[]
mod2=[]
for i in range(N):
for j in range(N):
k=(i+j+2)%3
if k==0:
mod0.append((i,j))
elif k==1:
... | Aasthaengg/IBMdataset | Python_codes/p03330/s773407191.py | s773407191.py | py | 861 | python | en | code | 0 | github-code | 90 |
44187470435 | import numpy as np
from numpy import linalg as la
np.set_printoptions(precision=3)
class DiGraph:
"""A class for representing directed graphs via their adjacency matrices.
Attributes:
Labellist (list(str)): List of labels for the n nodes in the
graph.
A_hat ((n,n) ndarray): Th... | Tubnielsen/LinAlg | asg5-pagerank/asg5.py | asg5.py | py | 6,777 | python | en | code | 0 | github-code | 90 |
43577004451 | class ThreeStacks:
def __init__(self, stack_size):
self.stack_size = stack_size
self.array = [None] * (stack_size * 3)
self.tops = [-1, -1, -1] # pointers to the tops of the three stacks
def push(self, stack_num, value):
if self.is_full():
raise Exception("Stack... | mostafijur-rahman299/cracking-coding-interview-solutions | Stack & Queue/three-in-one-stack.py | three-in-one-stack.py | py | 1,966 | python | en | code | 0 | github-code | 90 |
75167582056 | import warnings
from copy import deepcopy
from typing import List, Tuple, Union
import qiskit
import qiskit.ignis.mitigation.measurement as mit
import qiskit.ignis.verification.tomography as tomo
from qiskit import QuantumCircuit
from qiskit.providers import BaseBackend
from qiskit.pulse import InstructionScheduleMap,... | BramDo/custom-cx-gate-on-Casablanca | utils/qpt_utils.py | qpt_utils.py | py | 6,278 | python | en | code | 1 | github-code | 90 |
3392942558 | import os
def writeData(fileName='', data='', openMode='a'):
data = data # 'Hello, world'
with open(fileName, openMode) as f:
data = f.write(data)
f.close()
def openFile(fileName=''):
if fileName != '':
with open(fileName, 'r') as f:
data = f.read()
print... | JasonAlkain/Python_Projects | Test7/importTesting.py | importTesting.py | py | 608 | python | en | code | 0 | github-code | 90 |
14117717006 | from gambling.trade_checker import payoff_calculator, payoff_for_multiple_parlays, Bet, BetType
def test_payoff_calculator_five_bet_flex_five_wins():
lines = [29.5, 32.0, 1.5, 0.5, 4.5]
results = [30.0, 31.0, 2.0, 1.0, 4.0]
bets = [Bet.OVER, Bet.UNDER, Bet.OVER, Bet.OVER, Bet.UNDER]
bet_type = BetType... | RishiChillara/gambling | tests/test_trade_checker.py | test_trade_checker.py | py | 2,531 | python | en | code | 0 | github-code | 90 |
19193044767 | class Solution:
def monotoneIncreasingDigits(self, N: int) -> int:
digit = list(str(N))
check = len(digit)
for i in range(len(digit) - 1, 0, -1):
if digit[i] < digit[i - 1]:
k = (int(digit[i - 1]) - 1)
digit[i - 1] = str(k)
check = ... | 23ksw10/LeetCode_Python | 738. Monotone Increasing Digits/solution.py | solution.py | py | 498 | python | en | code | 0 | github-code | 90 |
3325929128 | import torch
import numpy as np
from torch.utils.data import Dataset
import pickle
class HandwrittenWords(Dataset):
"""Ensemble de donnees de mots ecrits a la main."""
def __init__(self, filename):
# Lecture du text
self.pad_symbol = pad_symbol = '<pad>'
self.start_symbol = star... | IliassBour/S7-APP3 | dataset.py | dataset.py | py | 2,396 | python | en | code | 0 | github-code | 90 |
18403346917 | import os
import shutil
print("************************************************")
print("**** SCRPIT DE BACKUP MANUAL COM PYTHON ******")
print("* [Autor]: Lucas Martins *")
print("* [Versão do Script]: 0.2 *")
print("* [Status]: Em desenvolvimento *")
print... | lucasmcampos/PythonBackup | ScriptBackup.py | ScriptBackup.py | py | 1,516 | python | pt | code | 0 | github-code | 90 |
42801880950 | from Layer import Layer
import numpy as np
class Convolutional(Layer):
'''
input_shape: 3d_tensor [channels, width, height]
filter_size: 2d_tensor [width_len, height_len]
'''
def __init__(self, input_shape, n_filters, filter_size, stride=1):
super(Convolutional, self).__init__()
as... | kongjiellx/Frech | Layers/Convolutional.py | Convolutional.py | py | 1,949 | python | en | code | 0 | github-code | 90 |
27532297779 | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import streamlit as st
import tensorflow.keras
import pickle
import os
import tensorflow as tf
import h5py
from wordcloud import WordCloud, STOPWORDS
def run_eda_app() :
st.subheader('EDA 화면입니다.')
st.write('RNN 딥러닝 학습에... | jaechang3456/Stramlit_MySQL_Spam_Classifier | eda_app.py | eda_app.py | py | 1,694 | python | ko | code | 0 | github-code | 90 |
72598761896 | # - * - coding:utf-8 - * -
# - * - coding:utf-8 - * -
from django.urls import path,re_path
from . import views
urlpatterns = [
re_path(r'^$', views.show,name='index_show'),
#评论点赞
re_path(r'^comment_affirm/$',views.comment_affirm,name='comment_affirm'),
# 博客点赞
re_path(r'^affirm_blog/$',views.affirm_... | ziyiLike/csdn_blog | blog_home/apps/blog/urls.py | urls.py | py | 537 | python | en | code | 1 | github-code | 90 |
22156416088 |
import pandas as pd
import numpy as np
"""Sample Test Data Creation
"""
x = pd.DataFrame(np.random.random((10,6)),
columns=['a','b',
'gradeDetail',
'gradeRecordId',
'lossGivenDefault',
'factorDetai... | velamathi/Utilities | data_generator.py | data_generator.py | py | 1,629 | python | en | code | 0 | github-code | 90 |
35219879309 | n = int(input())
data = []
for _ in range(n):
line = list(map(int, input().split()))
if len(line) != n:
line = line + [0] * (n -len(line))
data.append(line)
for i in range(1, n):
for j in range(i+1):
data[i][j] += max(data[i-1][j], data[i-1][j-1])
print(max(data[-1])) | yongwoo97/algorithm | silver/1932_정수삼각형.py | 1932_정수삼각형.py | py | 302 | python | en | code | 0 | github-code | 90 |
18332683389 | import sys
read = sys.stdin.buffer.read
input = sys.stdin.buffer.readline
inputs= sys.stdin.buffer.readlines
#rstrip().decode('utf-8')
import numpy as np
#import operator
#import bisect
#from heapq import heapify,heappop,heappush
#from math import gcd
#from fractions import gcd
#from collections import deque
#from col... | Aasthaengg/IBMdataset | Python_codes/p02889/s676188469.py | s676188469.py | py | 1,415 | python | en | code | 0 | github-code | 90 |
10486475246 | # range(stop)
# range(start, stop)
# range(start, stop, step)
# we cannot use range() in this scenario
s = [0, 1, 4, 6, 13]
for i in range(len(s)):
print(s[i])
# we can use the above code as
v = [0, 1, 4, 6, 13]
for i in v:
print(i)
# Enumerate:
# It constructes an iterable of (index, value) tuples around a... | iswetha522/Plural_Sight | corepy/range_and_enumerate.py | range_and_enumerate.py | py | 668 | python | en | code | 0 | github-code | 90 |
18588349059 | s = input().split('T')
dx = list(map(len, s[0::2]))
dy = list(map(len, s[1::2]))
x, y = map(int, input().split())
def check(start, ds, goal):
cands = {start}
for d in ds:
new_cands = set()
for c in cands:
new_cands.add(c - d)
new_cands.add(c + d)
cands = new_cand... | Aasthaengg/IBMdataset | Python_codes/p03488/s468301167.py | s468301167.py | py | 443 | python | en | code | 0 | github-code | 90 |
35752496461 | #!/usr/bin/env python
import sys
input= sys.stdin.readline
import heapq
INF = int(1e9)
n,m,k,x = map(int,input().split())
graph = [[] for i in range(n+1)]
dist = [INF]*(n+1)
for _ in range(m):
a,b=map(int,input().split())
graph[a].append((b,1))
def dij(x):
q=[]
heapq.heappush(q,(0,x))
dist[x]=0
... | hansojin/python | graph/bj18352.py | bj18352.py | py | 722 | python | en | code | 0 | github-code | 90 |
72211290858 | def solution(places):
def dfs(i, j, depth, trace):
if depth == 1 and trace == 'P':
result.append(0)
return
if depth == 2:
if trace == 'OP':
result.append(0)
return
for di, dj in dij:
ni = i + di
nj = j ... | khyunchoi/Algo | Programmers/python/2021 카카오 인턴/test2.py | test2.py | py | 1,214 | python | en | code | 0 | github-code | 90 |
41305068184 | import re
import re
# Given path
file_path = r"C:\Users\soulo\PaperMate\PaperMate_ui\GUI\source_documents\2307.06435v1.pdf"
# Extract the ID using regular expression
match = re.search(r'\\(\d+\.\d+v\d+)\.pdf$', file_path)
if match:
id_with_version = match.group(1)
print("Extracted ID with version:", id_with... | Zaheer-10/PaperMate-RecSys | PaperMate_ui/GUI/check.py | check.py | py | 365 | python | en | code | 0 | github-code | 90 |
19512175676 | '''
Usage:
python main.py <url> <depth> <modulename>
Example:
python main.py http://www.pyregex.com/ 3 pyregex
'''
import lib.scraper as webscraper
import lib.plotter as plotter
import os
import sys
import pickle
if __name__ == '__main__':
try:
_, url, depth, module_name = sys.argv
... | GertMadsen/WebScraper | main.py | main.py | py | 1,803 | python | en | code | 0 | github-code | 90 |
29046649416 | import unittest
import json
import csv
import sqlite3
from si507_finalproject import *
class TestDatabase(unittest.TestCase):
def test_restaurants_table(self):
conn = sqlite3.connect(DBNAME)
cur = conn.cursor()
sql_1 = '''
SELECT Name
FROM Restaurants
WHERE PriceRange = '$'
ORDER BY Name DESC
'''... | pansyjia/Programming-Final-Project | si507_finalproject_test.py | si507_finalproject_test.py | py | 3,381 | python | en | code | 0 | github-code | 90 |
4668978872 | #Course: CSCI 4140
#Name: Huan-Yun Chen
#Date: 1/29/2018
#Tabs: 8
#The following program is program in Python 3 and Python IDLE
#==========================================================
import nltk
from nltk.corpus import brown
#import matplotlib
#matplotlib.use('TKagg')
from nltk import FreqDist, ConditionalFreqDis... | oliver0616/my_work2 | Natural Language Processing/NLTK/Assignment/Assignment1/c2e19.py | c2e19.py | py | 2,093 | python | en | code | 1 | github-code | 90 |
7341978148 | # -*- coding: utf8 -*-
from telebot import TeleBot
from telebot.types import ReplyKeyboardMarkup, ReplyKeyboardRemove, KeyboardButton, InlineKeyboardMarkup, InlineKeyboardButton
import random
import time
import requests
from pathlib import Path
from keyboards import *
from date_validator import *
from word_validator im... | phony51/LocalSight | bot.py | bot.py | py | 46,074 | python | ru | code | 0 | github-code | 90 |
18278525463 | ####################################################################################################
##
## Project: Embedded Learning Library (ELL)
## File: buildtools.py
## Authors: Chris Lovett
##
## Requires: Python 3.x
##
####################################################################################... | Crott/ELL | tools/utilities/pythonlibs/buildtools.py | buildtools.py | py | 5,899 | python | en | code | null | github-code | 90 |
41227617629 | from easy_wave import AWG_Writer, REAL_CHANNELS
from wave_library import Empty
import pyqtgraph as pg
def plot_wave(wave, plot_zeros=True, downsample=10, downsample_mode='peak'):
win = pg.GraphicsWindow()
cs = lambda ch: ['y','b','#FF00FF','g'][ch.value[0]-1]
plt = win.addPlot()
plt.hideAxis('left')
... | AlexBourassa/Easy-Wave | visual_wave.py | visual_wave.py | py | 2,356 | python | en | code | 0 | github-code | 90 |
18420423119 | n,k=map(int, input().split())
s=input()
def rle(string):
_rle_str = string[0]
_rle_cnt = 1
_ans_l = []
for _i in range(1, len(string)):
if _rle_str == string[_i]:
_rle_cnt += 1
else:
_ans_l.append([_rle_str, _rle_cnt])
_rle_str = string[_i]
... | Aasthaengg/IBMdataset | Python_codes/p03074/s398939429.py | s398939429.py | py | 1,307 | python | en | code | 0 | github-code | 90 |
37137940616 | from proj1_helpers import *
from implementations import *
DATA_TRAIN_PATH = '../data/train.csv'
y_train, x_train, ids_train = load_csv_data(DATA_TRAIN_PATH)
column_names = np.genfromtxt(DATA_TRAIN_PATH, delimiter=",", dtype=str)[0, 2:]
# FEATURE PROCESSING
#handle invalid values
x_train, column_names = handle_invali... | lichangling3/ML-Project-1 | src/run.py | run.py | py | 2,276 | python | en | code | 0 | github-code | 90 |
19400166767 | import re
from http import HTTPStatus
from yacut.error_handlers import InvalidAPIUsage
from yacut.models import URLMap
URL_PATTERN = (
'^https?:\\/{1,2}(?:www\\.)?[-a-zA-Z0-9@:%._\\+~#=]{1,256}'
'\\.[a-zA-Z0-9()]{1,6}\\b(?:[-a-zA-Z0-9()@:%_\\+.~#?&\\/=]*)$'
)
SHORT_URL_PATTERN = r'^[a-zA-Z\d]+$'
def requir... | iamTroyanskiy/yacut | yacut/api_validators.py | api_validators.py | py | 1,603 | python | ru | code | 0 | github-code | 90 |
44019856382 | import unittest
"""
Given a string, find the minimum number of characters to be inserted to convert it to palindrome.
Input: ab
Output: 1 (bab)
Input: aa
Output: 0
Input: abcd
Output: 3 (dcbabcd)
Input: abcda
Output: 2 (adcbcda) which is same as insertions for bcd.
"""
"""
Approach 1:
1. Let min_insertions(str, start... | prathamtandon/g4gproblems | DP/min_insertions_to_make_palindrome.py | min_insertions_to_make_palindrome.py | py | 1,682 | python | en | code | 3 | github-code | 90 |
18527541609 | n = int(input())
total=10*100
def sum_digits(num):
sum = 0
while True:
if num == 0:
break
sum += num%10
num //= 10
return sum
for a in range(1, n):
b = n - a
total = min(total, sum_digits(a)+sum_digits(b))
print(total)
| Aasthaengg/IBMdataset | Python_codes/p03331/s115336163.py | s115336163.py | py | 278 | python | en | code | 0 | github-code | 90 |
71631055016 | from django.shortcuts import render, redirect,HttpResponse
from .forms import RagistrationForm, LoginForm
from django.contrib.auth.models import User
from django.contrib.auth import authenticate,login,logout
# from django.contrib.auth.forms import UserCreationForm
from django.contrib import messages
from django.contrib... | Brajesh0/mypoetry | post/views.py | views.py | py | 1,872 | python | en | code | 0 | github-code | 90 |
6859123072 | while True:
n=[int(i) for i in input().split()]
r=0
if n==[0,0]:
break
n_1=n[0]
n_2=n[1]
if n_1%n_2!=0:
if n_2%n_1==0:
print("factor")
else:
print("neither")
else:
if n_1>n_2:
print("multiple")
| dltbwoddl/Algorithmuslearning | 수학3/배수와 약수.py | 배수와 약수.py | py | 305 | python | en | code | 0 | github-code | 90 |
22126557089 | from django.db import models
from django.contrib.auth.models import User
from django.utils import timezone
class forum_post(models.Model):
semester = (
('I', 'I Semestr'),
('II', 'II Semestr'),
('III', 'III Semestr'),
('IV', 'IV Semestr'),
('V', 'V Semestr'),
('VI',... | Przemoosz/WikipediaUsingDjango | wikipedia/wiki/models.py | models.py | py | 1,138 | python | en | code | 0 | github-code | 90 |
15180546770 | # Simple Pong in Python3
# Used "turtle module"
import turtle
import os
player1score = 0
player2score = 0
wn = turtle.Screen()
wn.title("PONG")
wn.bgcolor("black")
wn.setup(width = 1280, height = 720)
wn.tracer(0)
# Paddle A
paddle_a = turtle.Turtle()
paddle_a.speed(0)
paddle_a.shape("square")
paddle_a.color("white... | KillerQueen-BitesZaDusto/pythonPong | Pong.py | Pong.py | py | 3,020 | python | en | code | 0 | github-code | 90 |
28441415400 | #! /usr/bin/env python3
import os
import ast
import json
from difflib import SequenceMatcher
from configparser import (ConfigParser, NoSectionError,
NoOptionError, DuplicateSectionError)
def get_defaults(filename):
"""Returns a dictionary of the configuration properties"""
configs =... | omushpapa/telkombalance | configreader.py | configreader.py | py | 7,028 | python | en | code | 0 | github-code | 90 |
7569850737 | import unittest
from scrapper.bayes import NaiveBayesClassifier
from scrapper.utils import load_data
from sklearn.naive_bayes import MultinomialNB
from sklearn.pipeline import Pipeline
from sklearn.feature_extraction.text import TfidfVectorizer
class TestNaiveBayesClassifier(unittest.TestCase):
def setUp(self):
... | toofnf/dementiy | homework06/tests/test_bayes.py | test_bayes.py | py | 5,716 | python | en | code | 1 | github-code | 90 |
17728121871 | #! /usr/bin/python
__author__ = "Alexander Rush <srush@csail.mit.edu>"
__date__ = "$Sep 12, 2012"
import json
import sys
import os
import cky
"""
replace infrequent words Count(x)<5 in parse_train.dat
into parse_train.RARE.dat
"""
class Tree:
def __init__(self):
self.terminal_count = {};
def count... | Christine-Tan/4705NLP | hw3/parser.py | parser.py | py | 3,469 | python | en | code | 1 | github-code | 90 |
18460288919 | from collections import deque
def main():
H, W = list(map(int, input().split()))
S = [input() for _ in range(H)]
visited = [[0] * W for _ in range(H)]
ans = 0
for h in range(H):
for w in range(W):
if S[h][w] == '#' or visited[h][w] == 1:
continue
n_w... | Aasthaengg/IBMdataset | Python_codes/p03157/s765861500.py | s765861500.py | py | 1,140 | python | en | code | 0 | github-code | 90 |
41167805408 | import subprocess
from subprocess import check_output
import re
def delete_branch(merged):
# makes a storage to delete and stores all the ones approved and deletes them all together
delete_storage = []
for i in range(len(merged)):
t = triple_check(merged[i])
if t:
delete_storag... | davidmojica/Q2-Internship | git_tools/Python/remove_merged.py | remove_merged.py | py | 3,135 | python | en | code | 0 | github-code | 90 |
4311445597 | import abc
from historico import Historico
from tributavel import Tributavel
from excecoes import SaldoInsuficienteError
class Conta(abc.ABC):
'''
Representação de uma Conta bancária.
Atributos:
numero: número da conta
titular: objeto do tipo Cliente representando o titular da conta
saldo: sa... | mvfrasca/Caelum-Python | oo/conta.py | conta.py | py | 9,056 | python | pt | code | 0 | github-code | 90 |
70762185578 | """
Hacer un programa que pida las calificaciones
de 15 alumnos y que nos muestre cuantos han pasado
y cuantos reprobaron
"""
aprobados = 0
reprobados = 0
contador = 0
numero_alumnos = int(input("Cúantos alumnos tienes: "))
while contador < numero_alumnos:
calificacion = float(input(f"Escribe la calificación para el ... | AlexSR2590/curso-python | 07-ejercicios/ejercicio10.py | ejercicio10.py | py | 580 | python | es | code | 0 | github-code | 90 |
9221177261 |
# coding: utf-8
# # Sistemas Lineales. Metodos directos
# Ax=b; A es un array nxn b es un array nx1
import numpy as np
import scipy.linalg as scla # El comando para resolver sistemas lineales es solve
A = np.array([[1,2,3],[2,4,1],[-1,-1,2]])
b = np.array([[1],[5],[3]])
scla.solve(A,b)
# ## Factorizacion LU
... | diegobartolome-proyectos/Ejercicios-matematicos-en-Python | Sistemas_Lineales.py | Sistemas_Lineales.py | py | 6,709 | python | es | code | 0 | github-code | 90 |
30387097937 | class Solution:
def multiply(self, num1, num2):
"""
:type num1: str
:type num2: str
:rtype: str
"""
# def str2int(num):
# res = 0
# for i in range(len(num)-1, 0, -1):
# res += int(num[i]) * pow(10, len(num)-1-i)
# re... | VRER1997/leetcode_python | middle/043 Multiply Strings.py | 043 Multiply Strings.py | py | 1,047 | python | en | code | 1 | github-code | 90 |
19295028042 | import sys
import pyperclip
from PyQt5.QtCore import QRegExp, QObject, QThread, pyqtSignal
from PyQt5.QtGui import QRegExpValidator, QIcon
from PyQt5.QtWidgets import (
QApplication, QDialog, QMainWindow, QMessageBox, QDialogButtonBox, QLineEdit, QTableWidgetItem, QRadioButton, QFileDialog
)
from PyQt5 import QtWi... | kinshukdua/gUPI-recon | app.py | app.py | py | 8,188 | python | en | code | 13 | github-code | 90 |
22144001820 | import os
import skbuild
import memtrace
uname = os.uname()
memtrace_dir = os.path.join(os.path.dirname(__file__), 'memtrace')
tracer_dir = os.path.join(
memtrace_dir, 'tracer', f'{uname.sysname}-{uname.machine}')
memtrace_data = [
'memtrace.ipynb',
]
for dirpath, dirnames, filenames in os.walk(tracer_dir):
... | mephi42/memtrace | setup.py | setup.py | py | 1,487 | python | en | code | 10 | github-code | 90 |
71889156457 | from flask import Flask, render_template, request
from k_nearest_neighbors.k_nearest_neighbors import D2KNearestNeighbors, my_distance, poly_weights_recommend, poly_weights_evaluate
from logistic_regression.logistic_regression import D2LogisticRegression
from engine import Engine
import json
URL_PREFIX = ''
app = Fla... | Lrisingr/Dota2ML | app.py | app.py | py | 1,545 | python | en | code | 0 | github-code | 90 |
70828694056 | from tkinter import *
def just_buttons():
print("i got clicked")
new_text = input.get()
my_label.config(text=new_text)
window = Tk()
window.minsize(width=500, height=300)
window.title("button creation")
window.config(pady=200, padx=100)
button = Button(text="click here", command=just_buttons)
... | reykhalid/Daniel-projects | practice.py | practice.py | py | 869 | python | en | code | 0 | github-code | 90 |
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