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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
22690391778 | import pandas as pd
import auto_classification.src.helpers.preprocess_helper as preprocess_helper
def prepare_dataset(params, df_features):
df_features_trans = df_features
feature_cols = params["feature_cols"]
id_cols = params["id_cols"]
max_bins = params["max_bins"]
dummy_na = params["dummy_na"]
... | relue/auto_classification | src/api/preprocess.py | preprocess.py | py | 2,060 | python | en | code | 0 | github-code | 90 |
3857919820 |
# ベクトルの方向を求める
import math
rad = math.atan2(3, 2)
th = math.degrees(rad)
# ベクトル演算
import numpy as np
a = np.array([2, 2])
b = np.array([2, -1])
a + b
a - b
2 * a
# 直線の方程式
from sympy import Symbol, solve
a = Symbol('a')
b = Symbol('b')
ex1 = -1*a + b - 2
ex2 = 2*a + b - 4
solve((ex1, ex2))
# 直線のなす角度
import math
im... | ghard1053/python-st | py2/st4.py | st4.py | py | 905 | python | en | code | 0 | github-code | 90 |
18638226958 | import pygame
import math
from .sprite import Sprite
class Raycaster:
def __init__(self, surface, grid=None, objects=None, shading=True):
if type(grid) is pygame.Surface: # Grid from image.
grid = grid.convert_alpha()
self.grid = []
temp_objects = []
for x in... | lewisc64/pyray | pyray/raycaster.py | raycaster.py | py | 7,867 | python | en | code | 0 | github-code | 90 |
27457690543 | from matplotlib.pyplot import imshow
import numpy as np
import cv2
from keras.preprocessing.image import img_to_array
from tensorflow.keras.layers import Conv2D, MaxPooling2D, UpSampling2D
from tensorflow.keras.models import Sequential
SIZE=256 #Limiting to 256 size image as my laptop cannot handle lar... | hyebinkang/classification_study | 5. AutoEncoder/89_Domain_Adaptation.py | 89_Domain_Adaptation.py | py | 2,499 | python | en | code | 0 | github-code | 90 |
19009194175 | # -*- coding: utf-8 -*-
"""
Created on Sat Mar 10 20:00:16 2018
@author: Nabarun Chatterjee
"""
import pandas as pd
# import the files
import os
app_dir = os.path.dirname(__file__)
def files_import():
global app_dir
symptom = pd.read_csv(os.path.join(app_dir, 'symptoms.csv'))
diagnosis = p... | Tejas07PSK/ACM_c2c_DP | c2cHack/mlmodel/load_data.py | load_data.py | py | 523 | python | en | code | 0 | github-code | 90 |
40697055402 | import os
import shutil
path_to_your_files = 'D:\TautraUHI\RGB_imgs_corrected'
copy_to_path = 'D:\TautraUHI\RGB_imgs_corrected_subset'
files_list = sorted(os.listdir(path_to_your_files))
orders = range(6, len(files_list), 10)
for order in orders:
files = files_list[order] # getting 1 image after 3 images
shu... | havardlovas/Underwater-Hyperspectral-Algorithms | Spectral-Algorithms and Image-Algorithms/copy_alternate_imgs.py | copy_alternate_imgs.py | py | 448 | python | en | code | 1 | github-code | 90 |
9303725291 |
import jax
import jax.numpy as jnp
def my_dot(a, b):
return jnp.dot(a, b)
try:
print("available GPU : ")
print(jax.devices('gpu'))
except:
print('no GPU found, available device : ')
print(jax.devices())
matrix_vector = jax.vmap(my_dot, in_axes=(0, None))
matrix_matrix = jax.vmap(my_dot, in_ax... | olivier-serris/singularity_containers | codes/jax_gpu.py | jax_gpu.py | py | 580 | python | en | code | 0 | github-code | 90 |
12252551626 | import matplotlib
matplotlib.use('Agg')
from matplotlib.font_manager import FontProperties
import matplotlib.pyplot as plt
import numpy as np
import argparse
def isfloat(num):
try:
float_equiv = float(num)
return True
except:
return False
def main():
#parse input arguments
p... | blueleafysky/CloudFinalProject | rl/abr_graph/graph_results.py | graph_results.py | py | 2,361 | python | en | code | 0 | github-code | 90 |
14289702080 | Numbers = []
Size = int(input("Among how many numbers do you want to find the maximum?"))
Numbers.append(int(input("Enter the first number:")))
for Counter in range(1, Size):
Numbers.append(int(input("Enter the next number:")))
Max = Numbers[0]
for Counter in range(1, Size):
if(Max < Numbers[Counter]):
... | skkittu22/programs | python/Maximum.py | Maximum.py | py | 409 | python | en | code | 0 | github-code | 90 |
38244789531 | #!/usr/bin/env python3
import subprocess
import sys
import random
from os.path import isfile, join
import os
import hashlib
from argparse import ArgumentParser as ap
checksumlist = {}
hasherclass = hashlib.sha1
BLOCKSIZE = 16384
emptysums = [
"e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
... | roikale/sumcheck | sumcheck.py | sumcheck.py | py | 3,543 | python | en | code | 0 | github-code | 90 |
27094389908 | from spack import *
class PyPyprof2html(PythonPackage):
"""Python cProfile and hotshot profile's data to HTML Converter"""
homepage = "https://pypi.python.org/pypi/pyprof2html/"
url = "https://pypi.io/packages/source/p/pyprof2html/pyprof2html-0.3.1.tar.gz"
version('0.3.1', 'aa65a1635aac95e0487d... | matzke1/spack | var/spack/repos/builtin/packages/py-pyprof2html/package.py | package.py | py | 482 | python | en | code | 2 | github-code | 90 |
45989275479 | # my_solution
import sys
input = sys.stdin.readline
'''
1, 2, 3으로 숫자를 만들어야 한다.
따라서 어떤 n이라는 숫자를 만드려면
n-1 + 1
n-2 + 2
n-3 + 3
을 하면 된다.
따라서 n-1, n-2, n-3의 경우의 수를 모두 더해주면 n을 만들 수 있는 경우의 수를 구할 수 있다.
'''
dp = [0 for _ in range(12)]
# 1, 2, 3은 미리 설정해준다.
dp[1] = 1
dp[2] = 2
dp[3] = 4
# n은 1~11까지의 수만 가능하다. 따라서 4~11까지 반복하면서 dp... | GwonPyo/Algorithm | Baekjoon/알고리즘 기초 문제집/브루트 포스/브루트 포스/1, 2, 3 더하기(9095)_s3.py | 1, 2, 3 더하기(9095)_s3.py | py | 732 | python | ko | code | 0 | github-code | 90 |
40651309264 | import dataclasses
import enum
import functools
import inspect
import math
import random
from typing import Any, ClassVar, Dict, NamedTuple, Optional, Type
import gym
import numpy as np
import pytest
from gym import spaces
from gym.envs.classic_control import CartPoleEnv
from sequoia.common.config import Config
from ... | lebrice/Sequoia | sequoia/settings/rl/incremental/setting_test.py | setting_test.py | py | 43,108 | python | en | code | 185 | github-code | 90 |
26811480001 | t = int(input())
INF = 2000000000
def bellman_ford():
dist = [INF] * (n+1)
dist[1] = 0
for i in range(n):
for edge in edges:
cur = edge[0]
nxt = edge[1]
cost = edge[2]
if dist[nxt] > dist[cur] + cost:
dist[nxt] = dist[cur] + cost
... | cyw320712/problem-solving | Baekjoon/python/GraphSearch/1865.py | 1865.py | py | 784 | python | en | code | 3 | github-code | 90 |
13385878146 | from fastapi.testclient import TestClient
def test_post_request_with_special_characters(base_app):
@base_app.action()
def my_action(msg):
return msg
base_app.add_api_routes()
test_input = base_app.get_action("my_action", func_kwargs={"msg": "+& "}).dict()["url"]
expected = "/receiver?fun... | acivitillo/giotto | tests/integration/test_app.py | test_app.py | py | 644 | python | en | code | 4 | github-code | 90 |
30875432466 | # BOJ_1240_gold5-노드사이의거리
import sys
from collections import defaultdict
from heapq import heappop, heappush
input = sys.stdin.readline
def djikstra(node):
dist = [float('inf')] * (n + 1)
hq = []
dist[node] = 0
heappush(hq, [0, node])
while hq:
current_dist, current_node = heappop(hq)... | Lee-hanbin/Algorithm | Python/BOJ/Gold/BOJ_1240_gold5-노드사이의거리/BOJ_1240_gold5-노드사이의거리.py | BOJ_1240_gold5-노드사이의거리.py | py | 890 | python | en | code | 3 | github-code | 90 |
42351881606 | # 0006
import os
import re
from collections import Counter
# 统计最重要的单词, 统计单词出现的总次数最大
filepath = "./source/0006"
files = os.listdir(filepath)
# 设置一些不必要的词
stopword = ['and', 'a', 'an', 'or', 'but',
'to', 'the', 'of', 'is', 'i', 'he',
'was', 'as', 'be', 'have', 'has', 'had',
'also', 'wi... | DD-DDDD/ShowMeTheCode | 0006.py | 0006.py | py | 959 | python | en | code | 0 | github-code | 90 |
35191327565 | import logging
import os
from dotenv import load_dotenv
load_dotenv()
parentdir = os.path.dirname(os.path.abspath('__file__'))
iface = os.getenv('IFACE')
localstore = parentdir + "/localstore.txt"
controller = os.getenv('CTRL')
controller_port = os.getenv('CTRL_PORT')
sw_table = int(os.getenv('TABLE'))
dpid_sw = in... | jorgestivenm/GMM_OpenStack_implementation_real_time | shared.py | shared.py | py | 1,197 | python | en | code | 0 | github-code | 90 |
17952992579 |
def warshall_floyd(cost):
ret = [[1]*N for _ in [0]*N]
for k in range(N):
for i, c_left in enumerate(cost[i][k] for i in range(N)):
for j, (c_now, c_right) in enumerate(zip(cost[i], cost[k])):
if c_left + c_right < c_now:
print(-1)
exi... | Aasthaengg/IBMdataset | Python_codes/p03600/s267799900.py | s267799900.py | py | 809 | python | en | code | 0 | github-code | 90 |
74765326377 | import puzzle
from collections import defaultdict
# Part 1
def process_input(intext):
start_text, inserts_text = intext.split("\n\n")
inserts = {tuple(a.split(" -> ")[0]): a.split(" -> ")[1]
for a in inserts_text.split("\n")}
return list(start_text), inserts
def step(in_text, inserts):
out_text = []
for... | harveyj/aoc | 2021/14.py | 14.py | py | 2,419 | python | en | code | 0 | github-code | 90 |
31423167493 | #! usr/bin/env/python3
# coding:utf-8
# @Time: 2020-04-11 13:04
# Author: turpure
import time
import math
import asyncio
from src.services.base_service import BaseService
class Worker(BaseService):
"""
fetch ebay listing from ibay day by day
"""
def __init__(self):
super().__init__()
... | yourant/ur_cleaner | sync/ibay_sync/sync_wish_listing_from_ibay.py | sync_wish_listing_from_ibay.py | py | 3,013 | python | en | code | 0 | github-code | 90 |
15063211501 | import os
import json
import time
import logging
import ray
import psutil
import pytest
import redis
import requests
from ray import ray_constants
from ray.test_utils import wait_for_condition, wait_until_server_available
import ray.new_dashboard.consts as dashboard_consts
import ray.new_dashboard.modules
os.environ... | aleSuglia/ray | dashboard/tests/test_dashboard.py | test_dashboard.py | py | 7,990 | python | en | code | null | github-code | 90 |
5259043977 | import sys
import json
from colorama import Fore, Back, Style
from todo.constants import PROJECTFILE
from todo.menu_utils import menuInterface
import curses
import re
def check_int(element):
if re.match(r'^-?\d+(?:\.\d+)?$', element) is None:
return False
return True
def write(object):
outfile =... | nightKrwler/TODO-CLI | todo/commands.py | commands.py | py | 5,458 | python | en | code | 0 | github-code | 90 |
23548445356 | '''A django abstract model and form for handling extra content in a model.'''
VERSION = (0, 2, 'a1')
def get_version():
if len(VERSION) == 3:
v = '%s.%s.%s' % VERSION
else:
v = '%s.%s' % VERSION[:2]
return v
__version__ = get_version()
__license__ = "BSD"
__author__ = "Luca Sbardella"... | lsbardel/django-extracontent | extracontent/__init__.py | __init__.py | py | 652 | python | en | code | 0 | github-code | 90 |
37589231152 | # Written by Eric Martin for COMP9021
def balanced_brackets_in(pattern):
pattern = iter(pattern)
for c in pattern:
if not c.isspace():
break
else:
return True
brackets = dict(zip('([{', ')]}'))
stack = []
while True:
if c in brackets:
stack.appe... | marey/UNSW_COMP9021 | 03.exercies/27.Balanced multiple type brackets/balanced_multiple_type_brackets.py | balanced_multiple_type_brackets.py | py | 849 | python | en | code | 8 | github-code | 90 |
17278372862 | from src.gameplay.core.tasks.clickInCoordinate import ClickInCoordinateTask
def test_should_test_default_params():
waypoint = {}
task = ClickInCoordinateTask(waypoint)
assert task.name == 'clickInCoordinate'
assert task.delayBeforeStart == 1
assert task.delayAfterComplete == 0.5
assert task.wa... | lucasmonstrox/PyTibia | tests/unit/gameplay/core/tasks/test_clickInCoordinate.py | test_clickInCoordinate.py | py | 2,246 | python | en | code | 214 | github-code | 90 |
71789642538 | #!/usr/bin/env python3
from math import floor
def main():
with open("./inputs/day1.txt") as file:
lines = file.read().splitlines()
answer = 0
for line in lines:
fuel = floor(int(line) / 3) - 2
answer += fuel
print(answer)
if __name__ == '__main__':
main()
| alu-/advent-of-code-2019 | day1_part1.py | day1_part1.py | py | 306 | python | en | code | 0 | github-code | 90 |
3099264496 | ###
##
#
# carltonnorthern/nickname-and-diminutive-names-lookup is licensed under the
#
# https://github.com/carltonnorthern/nickname-and-diminutive-names-lookup
#
# Apache License 2.0
# http://www.apache.org/licenses/
#
##
###
import logging
import collections
import csv
class NameDenormalizer(object):
def __ini... | jabowery/delegate | nicknames.py | nicknames.py | py | 1,191 | python | en | code | 2 | github-code | 90 |
23048094679 | import turtle
import string
def clean(text): # Clean the data making it all lowercase and taking out all punctuation
Alph = string.ascii_lowercase
text = text.lower()
new_string =""
for char in text:
if char in Alph:
new_string+= char
elif char in string.whitespace:
... | elabay/cs2 | Dictionaries/test_make_file.py | test_make_file.py | py | 671 | python | en | code | 0 | github-code | 90 |
44246376058 | from constants import logging, request, json, app, db
from main import Main
logging.basicConfig(level=logging.INFO, filename='/home/AbilityForAlice2/mysite/app.log',
format='%(asctime)s %(levelname)s %(name)s %(message)s')
#
# logging.basicConfig(level=logging.INFO, filename='/home/AliceSurvival/... | Vo5torg/TimeForYou | flask_app.py | flask_app.py | py | 1,127 | python | en | code | 0 | github-code | 90 |
20903570112 | import os
import sys
import argparse
import ast
import logging
import paddle
paddle.enable_static()
from utils.train_utils import train_with_dataloader
import models
from utils.config_utils import *
from reader import get_reader
from metrics import get_metrics
from utils.utility import check_cuda
from utils.utility im... | PaddlePaddle/Research | KG/DuKEVU_Baseline/paddle-video-classify-tag/train.py | train.py | py | 7,266 | python | en | code | 1,671 | github-code | 90 |
40663376600 | #!/bin/env python3
import subprocess
import sys
args = sys.argv
try:
CHOICE = args[1].lower() # prevent if no argument added
except:
CHOICE = "cpu"
if CHOICE not in ("cpu", "mem"):
CHOICE = "cpu"
try:
MAX_COUNT = int(args[2]) # if no 2nd argument
except:
MAX_COUNT = 10
def getTot... | mrizaln/bspwm-lynx-rice | .config/rofi/resource-monitor/who_monopolize_resource.py | who_monopolize_resource.py | py | 2,874 | python | en | code | 0 | github-code | 90 |
72725448936 | import json
from io import BytesIO
import shutil
import pytest
import factory
from model_bakery import baker
from rest_framework_simplejwt.tokens import RefreshToken
from django.contrib.auth import get_user_model
from django.conf import settings
from django.core.files import File
from django.test import override_setti... | tuliomitico/infinity_API | tests/test_store/e2e_tests.py | e2e_tests.py | py | 4,924 | python | en | code | 0 | github-code | 90 |
39109250699 | # Importação de Bibliotecas
from airflow import DAG
from airflow.operators.bash_operator import BashOperator
from airflow.operators.python_operator import PythonOperator, BranchPythonOperator
from datetime import datetime, timedelta
import pandas as pd
import zipfile
import sqlite3
# Argumentos default
defau... | Matheus-Homem/worldDB | airflow/dags/worldDB.py | worldDB.py | py | 11,807 | python | pt | code | 0 | github-code | 90 |
8822266320 | """
Implements the noise model and simulates the pressure level for a receiver
Measuring noise from a point source passing by
"""
from copy import deepcopy
import numpy as np
import matplotlib.pyplot as plt
import random
from sklearn.gaussian_process import GaussianProcessRegressor
from sklearn.gaussian_process.kernel... | ConstantinovMihai/DSE_AEMS | BayesOpt/noise.py | noise.py | py | 7,266 | python | en | code | 0 | github-code | 90 |
35525371768 | import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name="batch_tar",
version="0.1.2",
author='Guanliang Meng',
author_email='linzhi2012@gmail.com',
description="To tar/compress files/directories in batch mode.",
long_description=long_descrip... | linzhi2013/batch_tar | setup.py | setup.py | py | 1,046 | python | en | code | 0 | github-code | 90 |
13002754891 | import json
import os
import random
class Bot:
DIRECTORY = 'user_responses'
def __init__(self, user_id, vk_api, vk_upload):
self.user_id = user_id
self.vk_api = vk_api
self.upload = vk_upload
self.PATH = os.path.join(self.DIRECTORY, str(self.user_id) + '.json')
self.DA... | Yourloff/bot_smetanka | bot.py | bot.py | py | 4,409 | python | en | code | 0 | github-code | 90 |
2512696391 | import sys
from collections import deque
sys.setrecursionlimit(100001)
input = sys.stdin.readline
def dfs(x):
for i in l[x]:
if visited[x] < visited[i]:
visited[i] = visited[x]
dfs(i)
for i in range(int(input())):
n = int(input()); k = int(input())
l = [[] for _ in range(n)... | 0dOj/0dOj_Algorithm | Python/7000~7999/7511.py | 7511.py | py | 716 | python | en | code | 0 | github-code | 90 |
28165857253 | import gdb
import os
class PrintRBT(gdb.Command):
def __init__(self):
super().__init__("print-rbt", gdb.COMMAND_USER)
def invoke(self, arg, from_tty):
root = gdb.parse_and_eval(arg)
q = [root]
nill_id = 0
dot_cmd = "digraph {"
while len(q) > 0:
nod... | kfggww/algorithms-in-c | script/algc-test-rbtree-gdb.py | algc-test-rbtree-gdb.py | py | 1,576 | python | en | code | 1 | github-code | 90 |
7955002175 | from pprint import pprint
import collections
grid = [[".", ".", ".", ".", ".", ".", ".", ],
[".", ".", ".", "#", "#", ".", ".", ],
[".", ".", "#", ".", "#", ".", ".", ],
[".", ".", "#", ".", "#", ".", ".", ],
[".", ".", "#", ".", "#", ".", ".", ],
[".", ".", "#", ".", "#", ".", ... | shkolovy/path-finder-algorithms | flood_fill.py | flood_fill.py | py | 3,858 | python | en | code | 0 | github-code | 90 |
11018530346 | from typing import Tuple
import numpy as np
from numpy import ndarray
from sigmaepsilon.math.numint import gauss_points as gp
# LINES
def Gauss_Legendre_Line_Grid(n: int) -> Tuple[ndarray]:
return gp(n)
# TRIANGLES
def Gauss_Legendre_Tri_1() -> Tuple[ndarray]:
return np.array([[1 / 3, 1 / 3]]), np.arr... | sigma-epsilon/sigmaepsilon.mesh | src/sigmaepsilon/mesh/utils/cells/numint.py | numint.py | py | 3,572 | python | en | code | 2 | github-code | 90 |
32646595634 | from goldSearch import *
# parameter
B = 48.0
H = 60.0
def f(y):
a = B * (H - y) / H
b = (B - a) / 2.0
A = (B + a) * y / 2.0
Q = (a * y**2) / 2.0 + 2.0 * (b*y/2) * y / 3.0
d = Q / A
c = y - d
I = (a * y**3) / 3.0 + 2.0 * (b * y**3 / 12.0)
I_bar = I - A * d**2
return -I_bar / c
y... | jyp-studio/numerical-method | E94086076_LAB9/max_sectionModulus.py | max_sectionModulus.py | py | 489 | python | en | code | 2 | github-code | 90 |
23182032385 | from const import *
class Snake:
def __init__(self):
self.tail_count = 2
self.locationX = 100
self.locationY = 100
self.prev_locX = [80,60]
self.prev_locY = [80,60]
def head(self, last_key):
if last_key == None:
pass
elif last_k... | Gandalf138/Snake | src/snake.py | snake.py | py | 1,265 | python | en | code | 0 | github-code | 90 |
18315669139 | import sys
import math
import copy
from heapq import heappush, heappop, heapify
from functools import cmp_to_key
from bisect import bisect_left, bisect_right
from collections import defaultdict, deque, Counter
# sys.setrecursionlimit(1000000)
# input aliases
input = sys.stdin.readline
getS = lambda: input().strip()
ge... | Aasthaengg/IBMdataset | Python_codes/p02852/s561102208.py | s561102208.py | py | 1,125 | python | en | code | 0 | github-code | 90 |
25199013140 | #coding=utf-8
#聚类，对样本聚类，找到感兴趣的样本数据，如感兴趣的客户等
import pandas as pd
from sklearn.tree import DecisionTreeClassifier as DTC
from sklearn.tree import export_graphviz
from sklearn.externals.six import StringIO
import random
inputfile="data/happiness_train_new.csv"
class cluster():
def __init__(self,inputfile) :
p... | saborforly/Machine-Learning | cluster/data_cluster.py | data_cluster.py | py | 1,766 | python | zh | code | 0 | github-code | 90 |
6541990905 | import json
from flask import (
Flask,
request,
jsonify,
Response,
render_template
)
import util
from map.device import Device
from map.router import DEFAULT_ACCESS_POINTS
app = Flask(__name__)
@app.route('/')
def index():
return render_template('index.html')
@app.route('/location', methods=['POST'])
def locatio... | beesaferoot/wifi-tracker | web-interface/app.py | app.py | py | 2,849 | python | en | code | 0 | github-code | 90 |
15965553178 | """
Helper functions for tests
"""
import os
import sys
import numpy as np
TOPDIR = os.path.dirname(os.path.dirname(os.path.realpath(__file__)))
sys.path.append(os.path.join(TOPDIR, 'examples'))
from util import run_ebtel
def run_ebtelplusplus(config):
return run_ebtel(config, TOPDIR)
def generate_idl_test_da... | rice-solar-physics/ebtelPlusPlus | tests/helpers.py | helpers.py | py | 2,443 | python | en | code | 7 | github-code | 90 |
2801710146 |
#from numpy.core.numeric import tensordot
breakflag = False
while True:
import requests
response = requests.get('https://favqs.com/api/qotd', headers = {'accept': 'application/json'})
data = response.json()
quote = data["quote"]["body"]
#print("Quote:", quote)
#print(data)
#print(quote)
... | PdxCodeGuild/class_salmon | code/Ryan/python_labs/lab_15_quotes_api.py | lab_15_quotes_api.py | py | 13,257 | python | en | code | 5 | github-code | 90 |
35993679169 | from django import forms
from travel_app.models import City, Blog, Travel, Plan, Travel_Journal
class CityModelForm(forms.ModelForm):
class Meta:
model = City
exclude = ("author",)
fields = "__all__"
class BlogModelForm(forms.ModelForm):
class Meta:
model = Blog
exc... | kowczanka/travel | travel_app/forms.py | forms.py | py | 1,930 | python | en | code | 0 | github-code | 90 |
70528077418 | import random
import math
import mmh3
from bitarray import bitarray
import pickle
'''
script to make a the bloomFilter class
'''
class BloomFilter:
# define data members:
# constructor function:
def __init__(self, keyfile, fdr, outfile):
# initializing data members:
self.fdr = ... | dombraccia/bloomfilters | src/BloomFilter.py | BloomFilter.py | py | 3,953 | python | en | code | 1 | github-code | 90 |
20746191741 | import math
import torch
from torch import nn
import torch.nn.functional as F
# from mmcv.cnn import ConvModule
# from mmcv.cnn import build_norm_layer
# from mmcv.runner import BaseModule
# from mmcv.runner import _load_checkpoint
# from mmseg.utils import get_root_logger
# from ..builder import BACKBONES
# =======... | Yanhua-Zhang/MultiTrans | Project_MultiTrans_V0/networks_my/module/module_Local_Global_fusion.py | module_Local_Global_fusion.py | py | 7,990 | python | en | code | 0 | github-code | 90 |
9313987560 | from utils import get_input
INPUT = """
2
5 4
1 2
6 7
9 12
24 24
41 50
14 24 24 4
1 1
42 42
24
"""
input = get_input(INPUT)(input)
from functools import reduce
def assign(a, value, fr=0, to=None):
if to is None:
to = len(a)
a[fr:to] = [value]*(to-fr)
return a
def solve(test_diff, students, N):
... | light-le/google_ks_hs_cj | final_exam.py | final_exam.py | py | 2,555 | python | en | code | 0 | github-code | 90 |
26008646812 | # on definit les jours valides
tableau = ["lundi", "mardi", "mercredi", "jeudi", "vendredi", "samedi", "Lundi", "Mardi", "Mercredi", "Jeudi", "Vendredi", "Samedi"]
# on demande de renseigner jour et heure
jour=input("Veuillez saisir un jour : ")
heure=input("Veuillez saisir une heure : ")
heure=int(heure)
# on verifie ... | GamerPsy/Remy_MyToolBox | PY-vrac/exercice3Tableau.py | exercice3Tableau.py | py | 745 | python | fr | code | 2 | github-code | 90 |
44762463319 | # Win rate predict model Func
def model(dic):
import pickle
import pandas as pd
from lightgbm import LGBMClassifier, plot_importance
from xgboost import XGBClassifier
model = None
with open('model.pkl', 'rb') as file:
model = pickle.load(file)
# columns titles create
colu... | Piat0046/LOL_winRate | riot_api/model/__init__.py | __init__.py | py | 1,050 | python | en | code | 1 | github-code | 90 |
29620509653 | import turtle
import time
import random
t = turtle.Turtle()
t.color('red')
t.pendown()
t.goto(100, 0)
t.goto(100, 100)
t.goto(0, 100)
t.goto(0, 0)
t.hideturtle()
time.sleep(5)
| loie/dailyprogrammer | easy_203.py | easy_203.py | py | 179 | python | en | code | 0 | github-code | 90 |
7628912300 | def _print_nice_indicator(s, i):
"""
Print a nice indicator showing the position of the character at
index "i" in bytes "s"
"""
newline_before = s.rfind(b'\n', 0, i - 1)
newline_after = s.find(b'\n', i)
line = repr(s[newline_before + 1 : newline_after])[2:-1] # "b'" and "'"
i -= newline... | stevenskevin/lua-2pda | pda.py | pda.py | py | 4,986 | python | en | code | 0 | github-code | 90 |
5045005902 | import sys
sys.setrecursionlimit(10**9)
def main():
N, M = map(int, input().split())
graph = [[] for _ in range(N)]
for _ in range(M):
u, v = map(int, input().split())
graph[u - 1].append(v - 1)
graph[v - 1].append(u - 1)
visited = [False] * N
def dfs(v):
visited[... | valusun/Compe_Programming | AtCoder/ABC/ABC287/C.py | C.py | py | 738 | python | en | code | 0 | github-code | 90 |
22659914230 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import sys
if sys.version_info[0] > 2:
from tkinter import *
import tkinter.ttk as ttk
import tkinter.filedialog as tkFileDialog
from tkinter.messagebox import *
else:
import ttk
from T... | atsiaras/transit_simulator | transit_simulator/__run__.py | __run__.py | py | 16,925 | python | en | code | 0 | github-code | 90 |
31665751701 | import numpy as np
from rdkit import DataStructs
import torch
import utils
def dominate(ind1, ind2):
all = np.all(ind1 <= ind2)
any = np.any(ind1 < ind2)
return all & any
def gpu_non_dominated_sort(swarm: torch.Tensor):
domina = (swarm.unsqueeze(1) <= swarm.unsqueeze(0)).all(-1)
domina_any = (sw... | XuhanLiu/DrugEx | utils/nsgaii.py | nsgaii.py | py | 3,607 | python | en | code | 180 | github-code | 90 |
5906386943 | from dash.dependencies import Input, Output
import plotly.express as px
def register_callbacks(app,df):
@app.callback(
Output('bar-chart', 'figure'),
Input('susdev-dropdown', 'value')
)
#fonction qui met à jour l'histogramme du svg en fonction du pays sélectionné
def update_bar_ch... | Cancaan/Projet-Dash-Python | dashboard/callback.py | callback.py | py | 1,737 | python | fr | code | 0 | github-code | 90 |
39239140121 | from rest_framework import serializers
from .UserSerializer import UserSerializer
from ..models import User, Employees
"""
EmployeeSerializer is used to serialize and deserialize the Employee model.
Attributes:
serializer_class (class): The class used to serialize and deserialize the Employee model.
... | Nojipiz/SimpleInventory | backend/inventory/serializers/EmployeeSerializer.py | EmployeeSerializer.py | py | 1,966 | python | en | code | 0 | github-code | 90 |
42554831346 | import os
import torch
import pickle
import numpy as np
from tqdm import tqdm
import networkx as nx
from sacred import Experiment
from ggg.evaluation.plots.utils.plot_helpers import (
get_epoch_graphs,
get_dataset_epochs_graphs,
check_dataset_file,
)
from ggg.evaluation.plots.utils.post_experiment_plots imp... | anon2022europe/icml2022 | large_graphs/code/ggg/evaluation/plots/mmds_isomorphism.py | mmds_isomorphism.py | py | 9,074 | python | en | code | 0 | github-code | 90 |
18405883669 |
from copy import copy
N=int(input())
G=[[] for _ in range(N)]
di=[-1]*N
for i in range(N-1):
u,v,w=map(int,input().split())
G[u-1].append([v-1,w])
G[v-1].append([u-1,w])
di[0]=0
for i in range(1,N):
if di[i]!=-1:continue
seen=[0]*N
stack=[[0,0]]
while stack:
y,d=stack.pop()
... | Aasthaengg/IBMdataset | Python_codes/p03044/s375027285.py | s375027285.py | py | 580 | python | en | code | 0 | github-code | 90 |
20126391449 | from odoo import api, models, _
# pylint: disable=C8107
class ResPartnerBank(models.Model):
""" This class upgrade the partners.bank to match Compassion needs.
"""
_inherit = "res.partner.bank"
def build_swiss_code_vals(self, amount, *args):
"""In l10n_ch's build_swiss_code_vals the amount m... | ovesco/compassion-switzerland | partner_compassion/models/partner_bank_compassion.py | partner_bank_compassion.py | py | 1,888 | python | en | code | null | github-code | 90 |
18314985879 | import numpy as np
from collections import defaultdict,deque
N,K= map(int,input().split())
A = np.array([1]+list(map(int,input().split())))-1
Acs = np.cumsum(A)
Acs %= K
ans = 0
cnt = defaultdict(deque)
for i,c in enumerate(Acs):
cnt[c].append(i)
while cnt[c]:
if i-cnt[c][0]> K-1:
cnt[c].p... | Aasthaengg/IBMdataset | Python_codes/p02851/s738888486.py | s738888486.py | py | 401 | python | en | code | 0 | github-code | 90 |
18104073739 | #!/usr/bin/env python3
from itertools import count, takewhile
def prime():
prime = []
def _isPrime(n):
for d in takewhile(lambda x: x * x <= n, prime):
if n % d == 0:
return False
return True
for i in count(2):
if _isPrime(i):
prime.append(i... | Aasthaengg/IBMdataset | Python_codes/p02257/s351137521.py | s351137521.py | py | 667 | python | en | code | 0 | github-code | 90 |
20715251200 | from django.contrib import admin
from activity.models import Activity
class ActivityAdmin(admin.ModelAdmin):
fieldsets = [
('name', {'fields': ['name']}),
('date', {'fields': ['date']}),
('publishTime', {'fields': ['publishTime']}),
('publisher', {'fields': ['publisher']}),
... | pxxgogo/FPGY | backend/activity/admin.py | admin.py | py | 699 | python | en | code | 0 | github-code | 90 |
22922237491 |
import random
def wolk():
pogoda = int(raw_input('''
type 1 if weather is Sunny
type 2 if weather is Rainy
what weather now? : '''))
print('Okey. Now you need set time!')
time = int(raw_input('''
type 1 if a Day
type 2 if a night
what time now? : '''))
if (pogoda == 1 and time == 1 ):
print('Ou, its g... | BorislavShutov/bash_script | 1.py | 1.py | py | 1,801 | python | en | code | 0 | github-code | 90 |
35891322061 |
class Response:
def __init__(self, f):
self.raw = f
self.encoding = "utf-8"
self._cached = None
def close(self):
if self.raw:
self.raw.close()
self.raw = None
self._cached = None
@property
def content(self):
if self._cached is ... | jonathonlui/micropython-extras | urequests_ext/urequests_ext/responses.py | responses.py | py | 1,757 | python | en | code | 1 | github-code | 90 |
18512149429 | #!/usr/bin/env python3
a = list(map(int, input().split()))
a.sort(reverse=True)
ans = 0
for i in range(1, len(a)):
ans += a[i-1]-a[i]
print(ans)
| Aasthaengg/IBMdataset | Python_codes/p03292/s052826166.py | s052826166.py | py | 152 | python | en | code | 0 | github-code | 90 |
2016036316 | import turtle as t
from paddle import Paddle
from ball import Ball
from net import Net
from scoreboard import Score, Countdown, GameOver
from boundaries import Boundary, GoalLine
# game window setup/styling
screen = t.Screen()
screen.setup(width=1000, height=1000, startx=0, starty=0)
screen.bgcolor("black")
screen.tit... | finnhewes/100DaysofPython | Day22_PongGame/main.py | main.py | py | 3,495 | python | en | code | 0 | github-code | 90 |
21524672360 | import csv
import os
import pandas as pd
import numpy as np
from datetime import date, timedelta
from pathlib import Path
import re
# point at "/home/canadmin/prefer/WRF/"
data_path = "Kentucky/"
#move to 2017 and 2018
year_folders = sorted(os.listdir(data_path))
print(year_folders)
#'''
for f_al... | kguilly/temperatureLSTM | Meto-Modelet-Suite/UtilityTools/extractTools/splitUTC.py | splitUTC.py | py | 1,532 | python | en | code | 0 | github-code | 90 |
25239142561 | import pandas as pd
class DataOperations:
def __init__(self,dataset_path = '../input/FutBinCards19.csv'):
self.dataset_path = dataset_path
def parseValue(self, x):
x = str(x).replace('€', '')
if ('M' in str(x)):
x = str(x).replace('M', '')
x = float(x) * 100000... | MortinerAzohen/Fifaproj | Data_operations/Prepare_data.py | Prepare_data.py | py | 2,223 | python | en | code | 0 | github-code | 90 |
1986621320 | import tkinter as tk
import os
from pathlib import Path
import glob
import sys
def searchdir():
for item in filels:
lbox.insert(tk.END, item)
p = Path('/')
filels = os.listdir(p)
win = tk.Tk()
win.title("LS GUI")
win.geometry('475x275')
win.configure(bg='#292929')
userin = tk.Label(win, text="Directory... | CRStromberg/Unix | ls/gui.py | gui.py | py | 556 | python | en | code | 0 | github-code | 90 |
898002449 | '''
This script plots the results of various algorithms at the same plot, and
saves it as a pdf in the results/folder.
Call it as:
python plot_experiments fig_name folder1 ... folderN
where folder* are the folders of the saved experiments.
'''
import os.path
import glob
import numpy as np
import pickle
import argpars... | oxfordcontrol/Bayesian-Optimization | plot.py | plot.py | py | 5,390 | python | en | code | 44 | github-code | 90 |
8354297855 | import pandas as pd
from math import pi
from uncertainties import ufloat, unumpy
import matplotlib.pyplot as plt
from template import setup_plot
data = pd.read_excel("data2.xlsx")
r_1 = ufloat(8.6, 0.05) / 1e3
r_2 = ufloat(14.5, 0.05) / 1e3
h = ufloat(6.3, 0.05) / 1e3
R_1 = ufloat(24, 0.5)
R_3 = ufloat(39, 0.5) * 1... | NOTfedos/msuexps | prak305/exp2.py | exp2.py | py | 1,525 | python | en | code | 0 | github-code | 90 |
74318544936 | """Utility functions."""
from .const import IntelliFireCommand
from .exceptions import InputRangError
def _range_check(command: IntelliFireCommand, value: int) -> None:
"""Perform a value range check.
Args:
command (IntelliFireCommand): The command enum.
value (int): The value to be checked.
... | jeeftor/intellifire4py | src/intellifire4py/utils.py | utils.py | py | 720 | python | en | code | 4 | github-code | 90 |
17721784305 | """
Faça uma lista de compras com listas, o usuário deve ter a possibilidade de inserir, apagar e listar valores da sua lista,
não permita que o programa quebre com erros de índices inexistentes na lista.
"""
lista_compras = []
produto = []
opcao = ''
while opcao != 's':
opcao = input('Selecione uma opção: \n'
... | pasjunior/Curso_Python | aula90.py | aula90.py | py | 1,206 | python | pt | code | 0 | github-code | 90 |
16566980839 | import json
from pathlib import Path
from model.render import pdf
INPUT_BASE_PATH = Path("testcases/annotation/")
OUTPUT_BASE_PATH = Path("testcases/out/")
OUTPUT_BASE_PATH.mkdir(parents=True, exist_ok=True)
def get_pages(rm_files_path):
content_file = rm_files_path.with_suffix(".content")
with open(conten... | peerdavid/remapy | tests/annotation_test.py | annotation_test.py | py | 1,416 | python | en | code | 172 | github-code | 90 |
18397428999 | def main():
N, M = map(int, input().split())
lst = [list(map(int, input().split())) for _ in range(M)]
p = list(map(int, input().split()))
ans = 0
for i in range(2 ** N): # スイッチの状態をビット全探索
switch = [0] * N
flag = True
for j in range(N): # スイッチの状態を1パターン決める 1:ON, 0:OFF
... | Aasthaengg/IBMdataset | Python_codes/p03031/s857515846.py | s857515846.py | py | 1,011 | python | ja | code | 0 | github-code | 90 |
1953386286 | from lsdlm import utils, lsdlm
import pickle
import numpy as np
import time
import argparse
def train(training_dataset, weight_matrix, save_to='data/pretrained_PEMS-BAY.model'):
model = lsdlm.DLM(adj_mx=np.maximum(weight_matrix, weight_matrix.T), num_diff_periods=5) # undirected graph
print('model created...... | semink/LargeScale-DLM | main.py | main.py | py | 1,561 | python | en | code | 3 | github-code | 90 |
73627405416 | import traceback
import xml.etree.ElementTree as etree
from collections import defaultdict
from bs4 import BeautifulSoup
from tqdm import tqdm
from utils import *
class QA_Pairer():
def __init__(self, xml_path, name=None, out_folder="out", min_score=3, max_responses=3, out_format="txt", archiver=None):
"... | EleutherAI/stackexchange-dataset | pairer.py | pairer.py | py | 7,803 | python | en | code | 56 | github-code | 90 |
26950889091 | #!/usr/bin/env python
from gi.repository import Gtk, GLib, GObject, GdkPixbuf, Gio, Pango, GtkSource, Gdk
from filemanager import MarkItFileManager
from textview import MarkItTextView
from documentview import MarkItDocumentView
from workspaceview import MarkItWorkspaceView
class MarkItSidebar (Gtk.Box):
__gsign... | xyl0n/mark-it | sidebar.py | sidebar.py | py | 5,569 | python | en | code | 6 | github-code | 90 |
5828454955 | # -*- coding: utf-8 -*-
# @Time : 2022/10/10 17:11
# @Author : Tom_zc
# @FileName: permission_thread.py
# @Software: PyCharm
import logging
import time
import traceback
from open_infra.utils.utils_kubeconfig import KubeconfigLib
from permission.models import KubeConfigInfo
logger = logging.getLogger("django")
cl... | Open-Infra-Ops/open-infra | open_infra/open_infra/apps/permission/resources/permission_thread.py | permission_thread.py | py | 2,058 | python | en | code | 0 | github-code | 90 |
18131686505 | #!/usr/bin/env python3
"""
Given a sorted array, convert it into a height-balanced (AVL) binary search tree.
Reference:
http://www.cs.ecu.edu/karl/3300/spr16/Notes/DataStructure/Tree/balance.html
https://github.com/scirelli/jsdatastructures/tree/master/avlTree
https://github.com/scirelli/pi_asm_armv6/tree... | scirelli/dailycodingproblem.com | problem_296/main.py | main.py | py | 698 | python | en | code | 0 | github-code | 90 |
34871300880 | from datetime import (
datetime,
timedelta,
)
import numpy as np
import pytest
from pandas._libs.algos import (
Infinity,
NegInfinity,
)
from pandas import (
DataFrame,
Series,
)
import pandas._testing as tm
class TestRank:
s = Series([1, 3, 4, 2, np.nan, 2, 1, 5, np.nan, 3])
df = D... | pandas-dev/pandas | pandas/tests/frame/methods/test_rank.py | test_rank.py | py | 17,282 | python | en | code | 40,398 | github-code | 90 |
38095144909 | '''
Given an integer columnNumber, return its corresponding column title as it appears in an Excel sheet.
For example:
A -> 1
B -> 2
C -> 3
...
Z -> 26
AA -> 27
AB -> 28
...
Example 1:
Input: columnNumber = 1
Output: "A"
Example 2:
Input: columnNumber = 28
Output: "AB"
Example 3:
Input: columnNumber = 701
Outp... | DaneRosa/leetcode | problems/python/168.py | 168.py | py | 1,178 | python | en | code | 0 | github-code | 90 |
26809758247 | from sklearn.metrics import explained_variance_score
from sklearn.metrics import r2_score
from sklearn.metrics import max_error
from sklearn.metrics import accuracy_score
from sklearn.metrics import roc_auc_score
from sklearn.metrics import balanced_accuracy_score
from sklearn.metrics import average_precision_score
fro... | Queensbarry/PythonInAirSeaScience | statistics/sss.py | sss.py | py | 29,600 | python | en | code | 15 | github-code | 90 |
12501548791 | from chats.models import Chat, Message
from django.contrib.auth.models import User
from rest_framework import serializers
from .models import Contact, Profile
class ContactSerializer(serializers.ModelSerializer):
user_info = serializers.SerializerMethodField('get_user_info')
last_login = serializers.Serialize... | king-kite/kite-chat | users/serializers.py | serializers.py | py | 2,798 | python | en | code | 0 | github-code | 90 |
1144713107 | import sys
def msLn():
print("Введіть свою вагу на Землі")
massa = float(sys.stdin.readline())
print("Введіть кількість, на яку збільшуватиметься вага на Землі")
x = float(sys.stdin.readline())
print("Введіть кількість років")
years = int(sys.stdin.readline())
years = years + 1
... | DmitriyPodkovko/python-for-kids | 7_3.py | 7_3.py | py | 576 | python | uk | code | 0 | github-code | 90 |
44192551768 | #student id : 1201200449
#student name : Lai Jian Hong
#lab2 question 4
banana=1.5
grapes=5.60
qty_banana=int(input("Enter the quantity(comb)of banana bought :"))
qty_grapes=int(input("Enter the quantity(kg)of grapes bought:"))
total_banana=banana*qty_banana
total_grapes=grapes*qty_grapes
price=total_b... | Jianhong02/DPL5211Tri2110 | lab2 q4.py | lab2 q4.py | py | 604 | python | en | code | 0 | github-code | 90 |
42274780911 |
'''
@author : manojbandari
# Write a python program to find the square root of the given number
# using approximation method
# testcase 1
# input: 25
# output: 4.999999999999998
# testcase 2
# input: 49
# output: 6.999999999999991
'''
def main():
'''
# epsilon and step are initialized
# don't change the... | manojbandari/20186096_cspp-1 | cspp1-assignments/m5/p2/p2/square_root.py | square_root.py | py | 614 | python | en | code | 0 | github-code | 90 |
350377631 | import numpy as np
import random
import pandas as pd
from sklearn.cluster import KMeans
import matplotlib.pyplot as plt
class ts_cluster(object):
# num_clust
def __init__(self, num_clust):
'''
num_clust is the number of clusters for the k-means algorithm
assignments holds the... | sfrcun/k-center | 1_PPD_SSe.py | 1_PPD_SSe.py | py | 7,596 | python | en | code | 0 | github-code | 90 |
24498824971 | ##### IMPORTING #####
from bs4 import BeautifulSoup
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from decimal import Decimal
import requests
import json
import mysql.connector as mysql
db = mysql.connect(
user = 'root',
password = '',
host = 'localhost',
database = 'foodpric... | MeecahCahayon/RecipeShoppingList | python/madbutcher.py | madbutcher.py | py | 3,459 | python | en | code | 0 | github-code | 90 |
11173484950 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import cv2
import numpy as np
def onMouse(event, x, y, flags, param):
global img
if event == cv2.EVENT_LBUTTONDOWN:
print("LBTN Click", x, y)
cv2.rectangle(img, (x - 50, y - 50), (x + 50, y + 50), (255, 0, 0), 2)
cv2.imshow(' my canvas ',img)
elif event == cv2.EV... | riversnails/linux_document | code2/3gkr/open_cv/test2.py | test2.py | py | 1,745 | python | en | code | 0 | github-code | 90 |
14014571498 | from collections import defaultdict
from string import ascii_lowercase
r = list(reversed(ascii_lowercase))
tc = int(input())
for _ in range(tc):
s = input()
price = int(input())
sm = 0
d = defaultdict(set)
for i, c in enumerate(s):
v = ord(c) - 96
sm += v
d[c].add(i)
rr... | hozblok/codeforces | 1702/D_Not_a_Cheap_String.py | D_Not_a_Cheap_String.py | py | 645 | python | en | code | 0 | github-code | 90 |
4586132332 | def ttsanght(tokens):
operators = []
postfix = []
uutien = {'+': 1, '-': 1, '*': 2, '/': 2, '^': 3}
for token in tokens:
if token.isdigit():
postfix.append(token)
elif token in uutien:
# Nếu token là một toán tử, xử lý các toán tử hiện tại trong danh sách operato... | tkieuvt/CoSoLapTrinh123 | Nhom5/Bai124.py | Bai124.py | py | 1,870 | python | vi | code | 0 | github-code | 90 |
2656121969 | from django.db.models import Sum
from django.http import HttpResponse
from django.shortcuts import get_object_or_404
from django_filters.rest_framework import DjangoFilterBackend
from rest_framework import filters, mixins, status, viewsets
from rest_framework.decorators import action
from rest_framework.paginatio... | akiqq/foodgram-project-react | backend/api/views.py | views.py | py | 5,157 | python | en | code | 0 | github-code | 90 |
29591385028 | from collections import defaultdict, Counter
from functools import cache
rules = {}
with open("resources/day14_input.txt") as f:
polymer = f.readline().strip()
f.readline()
for line in f.readlines():
p, i = line.strip().split(" -> ")
rules[p] = i
@cache
def mutate(a, b, steps):
if step... | andrewmcloud/advent2021 | day14.py | day14.py | py | 807 | python | en | code | 0 | github-code | 90 |
27932709580 | from tkinter import *
import random
import time
class Ball:
def __init__( self, canvas, paddle, color ):
self.canvas = canvas
self.paddle = paddle
self.id = canvas.create_oval( 10,10, 25,25, fill = color )
self.canvas.move( self.id, 245, 100 )
starts = [ -3, -2, -1, 1, 2, 3... | chiedey/paddleball | paddleball.py | paddleball.py | py | 3,052 | python | en | code | 0 | github-code | 90 |
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