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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|---|---|---|---|---|---|---|---|---|---|---|---|---|
35069305556 | from enum import unique
from flask_sqlalchemy import SQLAlchemy
from .utils import utcnow
db = SQLAlchemy()
class Home(db.Model):
__tablename__ = "home"
id = db.Column(db.Integer, primary_key=True)
title = db.Column(db.String(120), unique=False, nullable=False)
content = db.Column(db.String(250), uniq... | jgustavoj/midwestern-project | src/api/models.py | models.py | py | 1,995 | python | en | code | 0 | github-code | 6 |
72492706428 | from xdist.scheduler import LoadScheduling
class XDistScheduling(LoadScheduling):
def __init__(self, config, log, test_order):
super().__init__(config, log)
self.test_order = test_order
def schedule(self):
assert self.collection_is_completed
# Initial distribution already ha... | JaurbanRH/pytest-persistence | pytest_persistence/XDistScheduling.py | XDistScheduling.py | py | 1,428 | python | en | code | 0 | github-code | 6 |
22927248113 | import rclpy
import math
from rclpy.node import Node
from sensor_msgs.msg import LaserScan
from geometry_msgs.msg import Twist
from rclpy.qos import qos_profile_sensor_data
class MinimalSubscriber(Node):
def __init__(self):
super().__init__('minimal_subscriber')
self.lin_vel = 0
self.rot... | Anth0o0/02-Robotics_team2 | subscriber_member_function.py | subscriber_member_function.py | py | 3,418 | python | en | code | 0 | github-code | 6 |
75385541946 | for i in range(int(input())):
a = int(input())
i_last = -1
last = "F"
dp = [0]
s = input()
for j, c in enumerate(s):
if c != "F" and s[i_last] != "F" and c != last:
dp.append((dp[i_last + 1] + i_last + 1))
else:
dp.append(dp[-1])
if c != "F":
... | fortierq/competitions | fb_hacker_cup/2021/round1/2/weak_typing.py | weak_typing.py | py | 412 | python | en | code | 0 | github-code | 6 |
37663232255 | # -*- coding: utf-8 -*-
"""
Created on Sat Feb 13 02:55:11 2021
@author: Anato
"""
from pathlib import Path
source_path = Path(__file__).resolve()
source_dir = source_path.parent
main_dir = str(source_dir.parent)
info_dir = main_dir + '/info/'
def open_info(file_name, mode):
return open(info_dir + file_name + ... | Anatoly7/codeforces-spider | tutorial/spiders/codeforces_spider.py | codeforces_spider.py | py | 1,714 | python | en | code | 0 | github-code | 6 |
25692788695 | # !/urs/bin/env python3
# -*- coding: utf-8 -*-
"""
Project: LAGOU Spider
@author: Troy
@email: ots239ltfok@gmail.com
"""
# 项目构架:
# p1: 依据搜索关键词 城市 职业, 爬取索引页, 解析并获取相关岗位url接连
# p2: 解析url链接, 获取数据
# p3: 存储到MongoDB
# 技术路径: requests urllib json re pq pymongo
import requests
from requests.exceptions import ConnectionError... | Troysps/spider | lagou/spider.py | spider.py | py | 6,376 | python | en | code | 1 | github-code | 6 |
24796364963 | from __future__ import division
import os
import re
import sys
import struct
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
import numpy as np
def load(fname):
color = None
width = None
height = None
scale = None
endian = None
file = open(fname)
header = file.readline().rstrip()
i... | kbatsos/CBMV | pylibs/pfmutil.py | pfmutil.py | py | 1,781 | python | en | code | 52 | github-code | 6 |
33213038710 | # 반복문 : while문
# while 조건식 :
# 조건식이 참인 경우에 실행될 문장
# 1~100까지 홀수, 짝수의 합을 구하는 프로그램
i = 1; odd = even = 0
while i<=100:
if i%2 == 0:
even += i
else:
odd += i
i += 1
print('1~100까지 홀수의 합 : ', odd)
print('1~100까지 짝수의 합 : ', even) | lilacman888/pythonExam | src/2020_06_02/while03.py | while03.py | py | 357 | python | ko | code | 0 | github-code | 6 |
74604827388 | import sys
a, b, v = map(int, sys.stdin.readline().rstrip().split())
res = v //(a-b)
tempV = v %(a-b)
res = (v-a) // (a-b)
if (v-a) % (a-b) > 0:
res += 2
else:
res += 1
print(res) | LimTurtle/BasicAlgorithm | Baekjoon/2869.py | 2869.py | py | 190 | python | es | code | 0 | github-code | 6 |
29852193126 | def menu(water,milk,beans,cup,money):
print("The Coffee machine has :")
print(str(water)+" of water")
print(str(milk)+" of milk")
print(str(beans)+" of coffee beans")
print(str(cup)+" of disposable cups")
print(str(money)+" of money")
def fill(water,water_add,milk,milk_add,beans,beans_a... | karnthiLOL/myFirstPythonHW | Other/Coffee Cal the great Origins.py | Coffee Cal the great Origins.py | py | 3,000 | python | en | code | 0 | github-code | 6 |
12918395650 | #!/usr/bin/env python3
""" Import build-in and custom modules to check system utilization and connection"""
import shutil
import psutil
import network
site_name = "http://www.google.com"
# Verifies that there's enough free space on disk.
def check_disk_usage(disk):
du = shutil.disk_usage(disk)
free = du.free /... | TyapinIA/Coursera_Google_IT_Automation_with_Python | psutil_shutil/health_check.py | health_check.py | py | 803 | python | en | code | 0 | github-code | 6 |
4669072111 | from Bio.Seq import Seq
def get_pattern_count(text, pattern):
seq = Seq(text)
return seq.count_overlap(pattern)
with open('rosalind_ba1e.txt') as file:
genome = file.readline().rstrip()
k, l, t = map(lambda x: int(x), file.readline().rstrip().split(' '))
genome_len = len(genome)
clump = []
for i ... | Partha-Sarker/Rosalind-Problems | Lab Assignment - 1/chapter 1/ba1e Find Patterns Forming Clumps in a String.py | ba1e Find Patterns Forming Clumps in a String.py | py | 802 | python | en | code | 0 | github-code | 6 |
12987469517 | #A python program to find anagrams of a given word.
import sys
allLengthAnagrams = []
def findAnagrams(aWord) :
anagrams = []
if( len(aWord) == 2 ) :
anagrams.append( aWord[0] + aWord[1] )
anagrams.append( aWord[1] + aWord[0] )
return anagrams
for i in range(len(aWord)) :
... | CodeSpaceIndica/Python | ep6_anagrams/Anagrams.py | Anagrams.py | py | 1,286 | python | en | code | 4 | github-code | 6 |
33062616710 | import pandas as pd
def agg_count(row):
count_x = getattr(row, 'Count_x', 0)
count_y = getattr(row, 'Count_y', 0)
count = getattr(row, 'Count', 0)
row.Count = count + count_x + count_y
return row
def top3(list_year, PATH):
cols = ['Name', 'Gender', 'Count']
names_all = None
for yea... | swetlanka/py3 | 4-1/test.py | test.py | py | 1,504 | python | en | code | 0 | github-code | 6 |
3977389831 | import psycopg2
import csv
from db.create_connection import create_connection as create_connection
def import_menu_from_csv():
conn = create_connection()
cursor = conn.cursor()
with open("menu.csv", mode="r", encoding="utf-8") as csv_file:
csv_reader = csv.DictReader(csv_file)
... | Tolik1923/restaurantordertaker | Back-end/db/exsport_menu.py | exsport_menu.py | py | 1,024 | python | en | code | 0 | github-code | 6 |
30950783677 | import numpy as np
import sys
import matplotlib.pyplot as plt
sys.path.append('../../analysis_scripts')
from dumpfile import DumpFile
from pickle_dump import save_obj, load_obj
from spatialcorrelations import calculate_items
if __name__ == "__main__":
rho = sys.argv[1]
fps = np.array([0])#,1,5,10,20,4... | samueljmcameron/ABPs_coarse_graining | experiments/2020_03_19/correlations/plot_correlations.py | plot_correlations.py | py | 686 | python | en | code | 0 | github-code | 6 |
34196938558 | #!/user/bin/env python
# -*- coding:utf-8 -*-
import numpy as np
import matplotlib.pyplot as plt
import h5py
#一个HDF5文件就是一个容器，用于储存两类对象：datasets，类似于数组的数据集合；groups，类似于文件夹的容器，可以储存datasets和其它groups。
from lr_utils import load_dataset
train_set_x_orig , train_set_y , test_set_x_orig , test_set_y , classes = load_dataset()
# i... | CheQiXiao/cfair | fc_net.py | fc_net.py | py | 11,968 | python | zh | code | 0 | github-code | 6 |
4374705477 | """
Author: Walfred Cutaran
Problem: Given a time in -hour AM/PM format, convert it to military (24-hour) time.
Note: - 12:00:00AM on a 12-hour clock is 00:00:00 on a 24-hour clock.
- 12:00:00PM on a 12-hour clock is 12:00:00 on a 24-hour clock.
"""
#
# Complete the 'timeConversion' function below.
#
# The function... | walfredcutaran/Hackerrank-Solutions | Solutions/Time Conversion.py | Time Conversion.py | py | 951 | python | en | code | 1 | github-code | 6 |
9031625453 | import random
print("Input 2 numbers and guess the random number the computer chose")
def guess_game():
# Lets the user choose lower limit, higher limit and number of tries
try:
first_num = int(input("Input the lower limit number: "))
second_num = int(input("Input the higher limit numb... | KWenYuan/randompython | numberguess.py | numberguess.py | py | 1,744 | python | en | code | 0 | github-code | 6 |
3755198481 | import os
import csv
#Create file path variable
budget_csv = os.path.join("Resources", "budget_data.csv")
#Create empty lists to store data as we iterate through the CSV file.
date = []
profitLoss = []
monthlyChange = []
#Open CSV file and create reader.
with open(budget_csv, encoding='utf8', newline='') as csvfile:... | Mattyapolis/Data_Analytics__Homework_2019 | 03-Python/PyBank/main.py | main.py | py | 2,483 | python | en | code | 0 | github-code | 6 |
19715632836 | # [https://www.yahoo.com/somerandomstring, http://www.yahoo.com/some/random/string, http://www.google.com]
import re
def condense(arr):
d = {}
output = []
domain = re.compile(r'www.\w*.\w*')
cleanarr = domain.findall(''.join(arr))
for i in cleanarr:
if i in d:
d[i] += 1
... | Nohclu/General | OathQuizQuestion/domains.py | domains.py | py | 559 | python | en | code | 0 | github-code | 6 |
3661651084 | def sequential_search(data, key):
for item in data:
if item == key:
return True
return False
my_list = [3, 6, 2, 9, 4, 7]
key = 6
found = sequential_search(my_list, key)
if found:
print("elemen ditemukan.")
else:
print("elemen tidak ditemukan")
| debbypermatar/SequencialSearch_BinarySearch | sequential_search.py | sequential_search.py | py | 297 | python | en | code | 1 | github-code | 6 |
28187322584 | import sys
input = sys.stdin.readline
input_num = int(input())
ops = [0 for _ in range(input_num+1)]
for i in range(2, input_num+1):
ops[i] = ops[i-1]+1
if i % 3 == 0:
ops[i] = min(ops[i], ops[i//3] + 1)
if i % 2 == 0:
ops[i] = min(ops[i], ops[i//2] + 1)
print(ops[input_num])... | Bandi120424/Algorithm_Python | 백준/Silver/1463. 1로 만들기/1로 만들기.py | 1로 만들기.py | py | 322 | python | en | code | 0 | github-code | 6 |
44701138323 | import os
import numpy as np
import tensorflow as tf
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
import matplotlib.gridspec as gridspec
def plot(samples):
x_dim=samples.shape[1]
color=samples.shape[3]
fig = plt.figure(figsize=(4, 4))
gs = gridspec.GridSpec(4, 4)
gs.update(wspa... | adityagarg/improvedWGANs | utils.py | utils.py | py | 2,488 | python | en | code | 0 | github-code | 6 |
69900225789 | import enum
from PySide2 import QtCore
from PySide2.QtCore import QPoint
from PySide2.QtGui import QColor, QFont, QFontDatabase
from PySide2.QtWidgets import QGraphicsSceneMouseEvent, QGraphicsItem
class NodeState(enum.Enum):
normal = 0
used = 1
highlight = 2
class Node(QGraphicsItem):
Type = QGrap... | JIuH4/KB_V2 | ui_elements/graph_items/node.py | node.py | py | 2,560 | python | en | code | 0 | github-code | 6 |
21325562870 | import pytest
from pysyncgateway import Database, Query
@pytest.fixture
def database(admin_client):
"""
Returns:
Database: 'db' database written to Sync Gateway.
"""
database = Database(admin_client, 'db')
database.create()
return database
@pytest.fixture
def query(database):
""... | constructpm/pysyncgateway | tests/query/conftest.py | conftest.py | py | 3,136 | python | en | code | 1 | github-code | 6 |
3037885810 | def solution(n):
answer = []
triangle = [[0] * n for _ in range(n)]
num = 1
x, y = -1, 0
for i in range(n):
for j in range(i, n):
if i % 3 == 0:
x += 1
elif i % 3 == 1:
y += 1
elif i % 3 == 2:
x -= 1
... | sunyeongchoi/sydsyd_challenge | argorithm/trianglesnail.py | trianglesnail.py | py | 606 | python | en | code | 1 | github-code | 6 |
17034031092 | # ##### BEGIN GPL LICENSE BLOCK #####
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by the Free Software Foundation; either version 2
# of the License, or (at your option) any later version.
#
# This program is distrib... | satishgoda/fluid-designer-scripts | scripts/startup/fluid_ui/space_fluid_view3d_tools.py | space_fluid_view3d_tools.py | py | 7,224 | python | en | code | 1 | github-code | 6 |
13231283002 | """
@Author : Hirsi
@ Time : 2020/7/3
"""
"""
思路(线程池)
1.定义变量，保存源文件夹，目标文件夹所在的路径
2.在目标路径创建新的文件夹
3.获取源文件夹中所有的文件(列表)
4.便利列表，得到所有的文件名
5.定义函数，进行文件拷贝
文件拷贝函数 参数(源文件夹路径，目标文件夹路径，文件名)
1.拼接源文件和目标文件的具体路径
2.打开源文件，创建目标文件
3.读取源文件的内容，写入到目标文件中(while)
"""
import os
import multiprocessing
... | gitHirsi/PythonNotes02 | day07-多任务-进程/10-文件夹拷贝器_多进程版.py | 10-文件夹拷贝器_多进程版.py | py | 2,139 | python | zh | code | 0 | github-code | 6 |
24143273312 | from selenium.webdriver import Chrome,ChromeOptions
from selenium.webdriver.common.by import By
from selenium.webdriver.common.keys import Keys
import xlsxwriter
opts = ChromeOptions()
opts.add_experimental_option("detach", True)
driver = Chrome(chrome_options=opts)
driver.get("https://google.com")
driver.maximize_... | keremguzel/selenium-excel-import | main.py | main.py | py | 2,595 | python | en | code | 0 | github-code | 6 |
39654504754 | import os
from .register import register_cityscapes_segmentation, register_voc_context_segmentation_dataset
from .seg_builtin_meta import get_segmentation_builtin_meta_data
_CITYSCAPES_SPLITS = {}
_CITYSCAPES_SPLITS['cityscapes'] = {
'cityscapes_train': ('cityscapes/leftImg8bit/train', 'cityscapes/gtFine/train')... | lqxisok/llSeg | datasets/segmentation/seg_builtin.py | seg_builtin.py | py | 1,519 | python | en | code | 2 | github-code | 6 |
24826000762 | import numpy as np
import pandas as pd
def main():
df1 = pd.DataFrame()
print(df1)
time_vals = np.arange(1628610738, 1628611738)
data_vals = np.ones(1000)
s1 = pd.Series(data_vals, time_vals)
df1['S1'] = s1
print(df1)
dv2 = np.random.uniform(10, 20, 1000)
s2 = pd.Series(dv2, time_v... | dantesdoesthings/danteswebsite | sandbox/dataframe_testing.py | dataframe_testing.py | py | 785 | python | en | code | 0 | github-code | 6 |
5272336888 | import gradio as gr
import pytesseract
from langchain import PromptTemplate
from langchain.chains import RetrievalQA
from langchain.chat_models import ChatOpenAI
from langchain.embeddings import OpenAIEmbeddings
from langchain.text_splitter import RecursiveCharacterTextSplitter
from langchain.vectorstores import Chroma... | motomk/pdf_gpt | main.py | main.py | py | 2,156 | python | ja | code | 0 | github-code | 6 |
34373278865 | import os
from unittest import TestCase
import jinja2
from apply.issue.issure_js_auto_code.db_util import res_to_dict
from config.db_conf import localhost_oa_engine
from util.str_util import to_lower_camel, to_snake, to_upper_camel
class Form:
@staticmethod
def get_tables(db):
sql = "select TABLE_N... | QQ1134614268/PythonTemplate | src/apply/issue/issure_js_auto_code/js_auto_code_v0.py | js_auto_code_v0.py | py | 3,508 | python | en | code | 2 | github-code | 6 |
7657570760 | #!/usr/bin/python3
"""
The function "add_integer" adds two integers
"""
def add_integer(a, b=98):
"""
Check if arguments are of the required type, else raise TypeError
"""
if a is None and b is None:
raise TypeError("add_integer() missing 1 required"
"positional argumen... | frace-engineering/alx-higher_level_programming | 0x07-python-test_driven_development/0-add_integer.py | 0-add_integer.py | py | 738 | python | en | code | 0 | github-code | 6 |
58242642 | try:
from zohocrmsdk.src.com.zoho.crm.api.exception import SDKException
from zohocrmsdk.src.com.zoho.crm.api.util import Constants
except Exception:
from ..exception import SDKException
from ..util import Constants
class Backup(object):
def __init__(self):
"""Creates an instance of Backup"""
self.__rrule = ... | zoho/zohocrm-python-sdk-5.0 | zohocrmsdk/src/com/zoho/crm/api/backup/backup.py | backup.py | py | 4,949 | python | en | code | 0 | github-code | 6 |
32585270834 | import cv2
import numpy as np
from .base import BaseTask
class BlurAndPHash(BaseTask):
def __init__(self):
super().__init__(taskID=4, taskName='BlurAndPHash')
self.thresholdLaplacian = 120
self.thresholdDiffStop = 120
self.thresholdDiffPre = 25
self.hashLen = 32
se... | Cloudslab/FogBus2 | containers/taskExecutor/sources/utils/taskExecutor/tasks/blurAndPHash.py | blurAndPHash.py | py | 2,292 | python | en | code | 17 | github-code | 6 |
3831338977 | # encoding=utf-8
import logging
import logging.config
import os
import sys
import time
import traceback
import datetime
def init_log(name='root'):
path = os.path.dirname(__file__)
config_file = path + os.sep + 'logger.conf'
log_path = os.path.join(os.path.abspath(__file__ + ('/..' * 3)), 'zz_logs')
i... | charliedream1/ai_quant_trade | tools/log/log_util.py | log_util.py | py | 3,053 | python | en | code | 710 | github-code | 6 |
37446574229 | from metux.util.task import Task, TaskFail
from metux.util.git import GitRepo
"""Task: clone an git repo w/ initial checkout"""
class GitCloneTask(Task):
def do_run(self):
spec = self.param['spec']
repo = GitRepo(spec['path'])
repo.initialize()
for remote in spec['remotes']:
... | LibreZimbra/librezimbra | deb_autopkg/util/tasks_git.py | tasks_git.py | py | 1,389 | python | en | code | 4 | github-code | 6 |
51383141 | from typing import *
import random
class Solution:
def partition(self, nums, left, right):
pivot = random.randint(left, right)
nums[pivot], nums[right] = nums[right], nums[pivot]
i = left
for j in range(left, right):
if nums[j] <= nums[right]:
nums... | code-cp/leetcode | solutions/961/main2.py | main2.py | py | 1,550 | python | en | code | 0 | github-code | 6 |
7437025622 | """Module containing class `UntagClipsCommand`."""
import logging
import random
import time
from django.db import transaction
from vesper.command.clip_set_command import ClipSetCommand
from vesper.django.app.models import Job, Tag, TagEdit, TagInfo
import vesper.command.command_utils as command_utils
import vesper.... | HaroldMills/Vesper | vesper/command/tag_clips_command.py | tag_clips_command.py | py | 7,835 | python | en | code | 47 | github-code | 6 |
29685980647 | import re
import pep8
import six
"""
Guidelines for writing new hacking checks
- Use only for Octavia specific tests. OpenStack general tests
should be submitted to the common 'hacking' module.
- Pick numbers in the range O3xx. Find the current test with
the highest allocated number and then pick the next va... | BeaconFramework/Distributor | octavia/hacking/checks.py | checks.py | py | 7,161 | python | en | code | 1 | github-code | 6 |
45413329386 | import os
import pathlib
import pandas as pd
import keyring
import dropbox
from dropbox.exceptions import AuthError
# Directory
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
dropbox_home = "https://www.dropbox.com/home/"
dropbox_app = "MAD_WahooToGarmin"
dropbox_app_dir = "/Apps/WahooFitness/"
DROPBOX_ACCESS_... | michaeladavis10/WahooToGarmin | dropbox_utils.py | dropbox_utils.py | py | 2,994 | python | en | code | 0 | github-code | 6 |
42399945606 | """empty message
Revision ID: a5cfe890710d
Revises: 7352c721e0a4
Create Date: 2023-05-28 16:47:42.177222
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'a5cfe890710d'
down_revision = '7352c721e0a4'
branch_labels = None
depends_on = None
def upgrade():
# ... | RBird111/capstone-yelp-clone | migrations/versions/20230528_164742_.py | 20230528_164742_.py | py | 1,132 | python | en | code | 1 | github-code | 6 |
39688530564 | # Time: O(n)
# Space: O(n)
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class Solution:
def pathSum(self, root: TreeNode, sum: int) -> int:
"""
Use cumulative sum, in each root to l... | cmattey/leetcode_problems | Python/lc_437_path_sum_iii.py | lc_437_path_sum_iii.py | py | 960 | python | en | code | 4 | github-code | 6 |
32166211761 | import requests
from bs4 import BeautifulSoup
import json
def get_description(url):
response = requests.get(url)
if response is not None:
soup = BeautifulSoup(response.text, 'html.parser')
description = {}
l1 = []
l2 = []
for item in soup.find_all("span", class_="adPage__content__fea... | Drkiller325/PR_Lab2 | homework.py | homework.py | py | 1,157 | python | en | code | 0 | github-code | 6 |
30534890966 | import re
import sys
import subprocess
class INA3221:
I2C_ADDR = 0x40
MANUFACTURER_ID_VALUE = 0x5449 #Texas Instruments
DIE_ID_VALUE = 0x3220 #INA 3221
class Reg:
MANUFACTURER_ID = 0xFE
DIE_ID = 0xFF
CH1_SHUNT = 0x1
CH1_BUS = 0x2
ShiftChannel = 0x2
@staticmethod
def read(bus, register):
reved = bus.... | galkinvv/galkinvv.github.io | nvidia-sensors.py | nvidia-sensors.py | py | 3,340 | python | en | code | 29 | github-code | 6 |
14471351413 | '''
Given a list accounts, each element accounts[i] is a list of strings, where the first element accounts[i][0] is a name, and the rest of the elements are emails representing emails of the account.
Now, we would like to merge these accounts. Two accounts definitely belong to the same person if there is some email th... | loganyu/leetcode | problems/721_accounts_merge.py | 721_accounts_merge.py | py | 2,893 | python | en | code | 0 | github-code | 6 |
30804267516 | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from sklearn.linear_model import LinearRegression
if __name__ == '__main__':
# 将csv数据读取为pandas对象
fund = pd.read_csv('./csv/001112.csv', dtype={'fcode': str})
# 转化时间字符串为时间
fund['fdate'] = pd.to_datetime(fund['fdate'])
#... | bobchi/learn_py | 23.py | 23.py | py | 1,416 | python | en | code | 0 | github-code | 6 |
25805435139 | import random
from models.storage import *
##########################
# Monte-Carlo Prediction #
##########################
# Source : Reinforcement Learning : an introcuction, Sutton & Barto, p.92
class MCPrediction:
def __init__(self, game, gamma=0.8, default_q=999):
self.V = {}
self.Returns = S... | AMasquelier/Reinforcement-Learning | models/solo.py | solo.py | py | 9,650 | python | en | code | 0 | github-code | 6 |
40033463881 | import json
from pathlib import Path
import numpy as np
import torch
import torch.utils.data
from PIL import Image
from panopticapi.utils import rgb2id
from utils.utils import masks_to_boxes
from dataset.utils import make_coco_transforms
city2int = {
"aachen": 0,
"bremen": 1,
"darmstadt": 2,
"erfurt"... | adilsammar/detr-fine | archived/dataset/cts_dataset.py | cts_dataset.py | py | 5,196 | python | en | code | 4 | github-code | 6 |
38368937564 | import string, itertools
ascii_lowercases = list(string.ascii_lowercase)
MAX_WORD_LENGTH = 5
for i in range(1, MAX_WORD_LENGTH + 1):
charlist = [[x for x in ascii_lowercases]] * i
for combinations in itertools.product(*charlist):
combinations = "".join(combinations)
with open("../wordlist.tx... | 1LCB/hash-cracker | complement/wordlist generator.py | wordlist generator.py | py | 407 | python | en | code | 2 | github-code | 6 |
17466316782 | #!/usr/bin/env python
# -*- coding: UTF-8 -*-
# File: cifar-convnet.py
# Author: Yuxin Wu <ppwwyyxxc@gmail.com>
import tensorflow as tf
import argparse
import numpy as np
import os
from tensorpack import *
import tensorpack.tfutils.symbolic_functions as symbf
from tensorpack.tfutils.summary import *
from tensorpack.ut... | jxwufan/NLOR_A3C | tensorpack/examples/cifar-convnet.py | cifar-convnet.py | py | 5,549 | python | en | code | 16 | github-code | 6 |
6363984731 | # This program reads data from a CD catalog data set
# and builds arrays for the catalog items
# Each array contains the title, artist, country, price, and year
# At the bottom, the total number of items and average price is
# displayed
# References: datacamp.com, stackoverflow.com
# References: datacamp.com, stackove... | Prowler01/CIS106_ThomasLam | Final Project/Final Project.py | Final Project.py | py | 3,748 | python | en | code | 0 | github-code | 6 |
20894068105 | import cv2
import math
import monta
import numpy as np
import matcompat
from scipy import signal
import matplotlib.pyplot as plt
lammbda=6
pi = math.pi
theta = np.arange(0, (np.pi-np.pi/8)+(np.pi/8), np.pi/8)
psi = 0
gamma = np.linspace(.4,1,4)
gamma = np.arange(.4, 1.2, .2)
b = 4
sigma = (1/pi)*math.sqrt((math.log(2)... | ErickJuarez/AtencionSelectiva | Python/main.py | main.py | py | 2,566 | python | en | code | 0 | github-code | 6 |
36030730386 | """Timezones lookup."""
import concurrent.futures
import os
import shutil
import subprocess
import sys
import time
import traceback
from datetime import datetime
from multiprocessing import cpu_count
from pathlib import Path
import pytz
import requests
import tzlocal
from fuzzywuzzy import process
import pycountry
i... | ppablocruzcobas/Dotfiles | albert/timezones/__init__.py | __init__.py | py | 7,290 | python | en | code | 2 | github-code | 6 |
36653559534 | #!/usr/bin/python3
# Codeforces - Round 640
# Problem A - Sum of Round Numbers
def read_int():
n = int(input())
return n
def read_ints():
ints = [int(x) for x in input().split(" ")]
return ints
#---
def solve(n):
s = str(n)
l = len(s)
sol = []
for i in range(l):
val = s[i]
if val != '0':
si = va... | thaReal/MasterChef | codeforces/round_640/round.py | round.py | py | 495 | python | en | code | 1 | github-code | 6 |
7985866436 | import numpy as np
import cv2
import time
def my_padding(src, filter):
(h, w) = src.shape
if isinstance(filter, tuple):
(h_pad, w_pad) = filter
else:
(h_pad, w_pad) = filter.shape
h_pad = h_pad // 2
w_pad = w_pad // 2
padding_img = np.zeros((h+h_pad*2, w+w_pad*2))
... | 201402414/CG | [CG]201402414_장수훈_5주차_과제/[CG]201402414_장수훈_5주차_과제/integral_image_report.py | integral_image_report.py | py | 8,317 | python | en | code | 0 | github-code | 6 |
37055851732 | from unittest.runner import TextTestRunner
import urllib.request
import unittest
from typing import TypeVar, Callable, List
T = TypeVar('T')
S = TypeVar('S')
#################################################################################
# EXERCISE 1
#################################################################... | saronson/cs331-s21-jmallett2 | lab03/lab03.py | lab03.py | py | 8,672 | python | en | code | 2 | github-code | 6 |
8670124375 | import pandas as pd
import pickle
df=pd.read_csv(r'C:/Users/SAIDHANUSH/spam-ham.csv')
df['Category'].replace('spam',0,inplace=True)
df['Category'].replace('ham',1,inplace=True)
x=df['Message']
y=df['Category']
from sklearn.feature_extraction.text import CountVectorizer
cv=CountVectorizer()
x=cv.fit_tra... | dhanush77777/spam-messages-classification-app | nlp_model.py | nlp_model.py | py | 770 | python | en | code | 0 | github-code | 6 |
15917643475 | from django.shortcuts import render, redirect, get_object_or_404
from django.shortcuts import render, get_object_or_404
from .models import *
from .forms import *
from .models import Product
from .forms import ProductUpdateForm
from .models import Category
from django.http import JsonResponse
# libraries for Im... | elumes446/Store-Management-System | Store Managment System/main/views.py | views.py | py | 7,245 | python | en | code | 0 | github-code | 6 |
71830613309 | def for_P():
for row in range(7):
for col in range(6):
if col==0 or (row%3==0 and col<5 and row<6) or (col==5 and row%3!=0 and row<3):
print("*",end=" ")
else:
print(end=" ")
print()
def while_P():
i=0
while i<7:
j... | Ashokkommi0001/patterns | Alp/cap_alp/P.py | P.py | py | 560 | python | en | code | 2 | github-code | 6 |
23682024390 | import datetime
def rest_sec_of_day():
"""
:return: 截止到目前当日剩余时间
"""
today = datetime.datetime.strptime(str(datetime.date.today()), "%Y-%m-%d")
tomorrow = today + datetime.timedelta(days=1)
nowTime = datetime.datetime.now()
return (tomorrow - nowTime).seconds # 获取秒
| peacefulyin/gh | BackEnd/util/common.py | common.py | py | 339 | python | en | code | 0 | github-code | 6 |
40411312041 | #!/usr/bin/env python3
"""
Name: bgp_neighbor_prefix_received.py
Description: NXAPI: display bgp neighbor summary info
"""
our_version = 109
script_name = "bgp_neighbor_prefix_received"
# standard libraries
import argparse
from concurrent.futures import ThreadPoolExecutor
# local libraries
from nxapi_netbox.args.args_... | allenrobel/nxapi-netbox | scripts/bgp_neighbor_prefix_received.py | bgp_neighbor_prefix_received.py | py | 4,416 | python | en | code | 0 | github-code | 6 |
32990866297 | import tensorflow as tf
def cast_float(x, y):
x = tf.cast(x, tf.float32)
return x, y
def normalize(x, y):
x = tf.reshape(x, (-1, 28, 28, 1))
x = x / 255.0
return x, y
def augment(x, y):
x = tf.image.random_flip_left_right(x)
x = tf.image.random_flip_up_down(x)
return x, y
def ... | christophstach/ai-robotics | src/excercise_1/src/dataset.py | dataset.py | py | 1,250 | python | en | code | 0 | github-code | 6 |
26189029070 | import datetime
import table
import restaurant
class Restaurant:
def __init__(self):
self.tables = []
self.name = "Restaurant Dingo"
for i in range(8):
self.tables.append(table.Table(i))
def get_tables(self):
return self.tables
def print_tables(self):
for i in range(8):... | jemmajh/Reservation_system_Y2 | restaurant.py | restaurant.py | py | 560 | python | en | code | 0 | github-code | 6 |
73526892347 | #!/usr/bin/python3
import os
filename = os.path.basename(__file__)
# 如果鲁迅也炒股
textStr = '我家门前有两棵树，一棵是绿枣树，另一棵也是绿枣树。'
voiceArr = ['YunjianNeural']
for v in voiceArr:
shell = f'edge-tts --text {textStr} --voice zh-CN-{v} --write-media ./audios/{filename}.{v}.mp3'
os.system(shell)
| zhouhuafei/edge-tts-case | scripts/20230421.1.py | 20230421.1.py | py | 348 | python | en | code | 0 | github-code | 6 |
42928428434 | class Solution:
def maxOnesRow(self,arr, n, m):
i, j, ans = 0, m-1, -1
while i < n:
while j >= 0 and arr[i][j] == 1:
ans = i
j -= 1
i += 1
return ans
obj = Solution()
arr, n, m = [[0, 1, 1, 1], [0, 0, 1, 1], [1, 1, 1, 1], [0, 0, 0, 0... | shwetakumari14/Leetcode-Solutions | Array/GFG/Row with max 1s.py | Row with max 1s.py | py | 371 | python | en | code | 0 | github-code | 6 |
41058762766 | class Poly:
def __init__(self,*terms):
# __str__ uses the name self.terms for the dictionary of terms
# So __init__ should build this dictionary from terms
self.terms = {}
for i in terms:
assert type(i[0]) in (int,float)
assert type(i[1]) == int,... | solomc1/python | ics 33/solutions/ile2 solutions/Lab 6/VegaHector/poly.py | poly.py | py | 5,121 | python | en | code | 0 | github-code | 6 |
41211987806 | import matplotlib.pyplot as plt
import librosa
import librosa.display
import os
import torch
from torch.distributions.beta import Beta
import numpy as np
from pytorch_lightning.callbacks import Callback
import torch.nn as nn
from einops import rearrange
from tqdm import tqdm
from helpers import nessi
image_folder = "... | CPJKU/cpjku_dcase22 | helpers/utils.py | utils.py | py | 4,903 | python | en | code | 18 | github-code | 6 |
70103613629 | #!/usr/bin/env python3
"""
Example for Implied Volatility using the NAG Library for Python
Finds implied volatilities of the Black Scholes equation using specfun.opt_imp_vol
Data needs to be downloaded from:
http://www.cboe.com/delayedquote/QuoteTableDownload.aspx
Make sure to download data during CBOE Trading Hours.
... | cthadeufaria/passport | investing/impliedVolatility.py | impliedVolatility.py | py | 9,398 | python | en | code | 0 | github-code | 6 |
20775589752 | import numpy as np
class StaticFns:
@staticmethod
def termination_fn(obs, act, next_obs):
assert len(obs.shape) == len(next_obs.shape) == len(act.shape) == 2
height = next_obs[:, 0]
angle = next_obs[:, 1]
not_done = (height > 0.8) \
* (height < 2.0) \
... | duxin0618/CDA-MBPO | static/walker2d.py | walker2d.py | py | 756 | python | en | code | 0 | github-code | 6 |
34268489867 | '''Проверка гипотезы Сиракуз'''
# Гипотеза Сиракуз гласит, что любое натуральное число сводится к единице при следующих
# действиях над ним: а) если число четное, то разделить его пополам, б) если число нечетное,
# то умножить его на 3, прибавить 1 и результат разделить на 2. Над вновь полученным
# числом вновь повтори... | ziGFriedman/My_programs | Testing_the_Syracuse_hypothesis.py | Testing_the_Syracuse_hypothesis.py | py | 920 | python | ru | code | 0 | github-code | 6 |
34228406110 | from pymongo.collection import Collection
from bson.objectid import ObjectId
def insert_object(obj: dict, collection: Collection):
"""Вставка объекта в коллекцию"""
obj['fields'] = list(obj['fields'].items())
return collection.insert_one(obj).inserted_id
def delete_object(object_id: str, collection: Col... | AKovalyuk/test-task | app/db/crud.py | crud.py | py | 1,341 | python | ru | code | 0 | github-code | 6 |
35717342742 | import torch
import torch.nn as nn
from utils.resnet_infomin import model_dict
import torch.nn.functional as F
from collections import OrderedDict
class RGBSingleHead(nn.Module):
"""RGB model with a single linear/mlp projection head"""
def __init__(self, name='resnet50', head='linear', feat_dim=128):
... | VirtualSpaceman/ssl-skin-lesions | utils/build_backbone_infomin.py | build_backbone_infomin.py | py | 10,323 | python | en | code | 7 | github-code | 6 |
437075340 | #[3.2, [[1, 0, 1, 0, 2], [330, 0, 220, 180, 20], [190, 120, 190, 120, 290], [[230, 800, 530, 800, 430], [350, 480, 350, 50, 680]]], [[2, 1, 1], [0, 1, 0], [2, 1, 0], [0, 1, 1], [3, 0, 0]], [False, False, False, False, False]]
# consecutive classes longest consecutive class time time after counter ... | iam4722202468/GuelphScheduler | python/finalRating.py | finalRating.py | py | 3,051 | python | en | code | 0 | github-code | 6 |
39441402911 | from mlearn import base
from functools import reduce
from datetime import datetime
from mlearn.data.dataset import GeneralDataset
from mlearn.data.batching import Batch, BatchExtractor
from sklearn.feature_extraction import DictVectorizer
from sklearn.feature_extraction.text import CountVectorizer, TfidfVectorizer
de... | zeeraktalat/mlearn | mlearn/utils/pipeline.py | pipeline.py | py | 2,898 | python | en | code | 2 | github-code | 6 |
74377247228 | '''
@Author: Never
@Date: 2020-06-13 11:02:05
@Description:
@LastEditTime: 2020-07-14 15:20:19
@LastEditors: Never
'''
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2020/4/27 19:47
# @Author : Shark
# @Site :
# @File : lepin1.py
# @Software: PyCharm
import csv
import requests
import json
import ... | gitxzq/py | lepin1.py | lepin1.py | py | 2,131 | python | en | code | 0 | github-code | 6 |
27986132061 | # dataset settings
dataset_type = 'DIORVOCDataset'
data_root = 'data/DIOR_VOC/'
img_norm_cfg = dict(
mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)
train_pipeline = [
dict(type='LoadImageFromFile'),
dict(type='LoadAnnotations', with_bbox=True),
dict(type='Resize', img_scale=(... | cenchaojun/mmd_rs | DOTA_configs/_base_/datasets/DIOR_VOC.py | DIOR_VOC.py | py | 2,196 | python | en | code | 1 | github-code | 6 |
19274830613 | #!/usr/bin/env python
'''
Created on Jun 28, 2016
@author: isvoboda
'''
from __future__ import print_function
import sys
import multiprocessing
import logging
import yaml
import argparse
from collections import OrderedDict
import cnn_image_processing as ci
import signal
signal.signal(signal.SIGINT, lambda x, y: sys... | DCGM/cnn-image-processing | bin/train_cnn.py | train_cnn.py | py | 5,210 | python | en | code | 0 | github-code | 6 |
8773605987 | import streamlit as st
from utils import get_modelpaths
from Scripts.video_processor import webcam_input
def main():
model_list = ["AnimeGANv2_Hayao","AnimeGANv2_Shinka","AnimeGANv2_Paprika"]
st.title("Real-time Anime to Anime Converter")
model_name = st.selectbox("Select model name", model_list)
mod... | avhishekpandey/RealTime_video-to-anime | app.py | app.py | py | 427 | python | en | code | 0 | github-code | 6 |
19203747427 | try:
import usocket as socket
except:
import socket
import re
from tof_i2c import TOF10120
tof=TOF10120()
import Site
import network
from machine import Pin
from neopixel import NeoPixel
import time
import math
from Site import WebPage
from Distance import DistanceMethods
from Sides import SidesMethods
from Brak... | TomD14/HoReCaRobot | Horizontal Led strip User Test/main.py | main.py | py | 3,920 | python | en | code | 0 | github-code | 6 |
21672470765 | #!/usr/bin/python
#coding:utf-8
"""
Author: Andy Tian
Contact: tianjunning@126.com
Software: PyCharm
Filename: get_heatMap_html.py
Time: 2019/2/21 10:51
"""
import requests
import re
def get_html():
'''
获取百度热力图demo的源代码
:return: h5代码
'''
url = "http://lbsyun.baidu.com/jsdemo/demo/c1_15.htm"
he... | tianzheyiran/HeatMap | get_heatMap_html.py | get_heatMap_html.py | py | 2,229 | python | en | code | 1 | github-code | 6 |
74693961467 | import torch
import time
import torch.nn.functional as F
def train(model, device, train_loader, optimizer, epoch): # 训练模型
model.train()
best_acc = 0.0
for batch_idx, (x1, x2, x3, y) in enumerate(train_loader):
start_time = time.time()
x1, x2, x3, y = x1.to(device), x2.to(device), x3.to(d... | Huasheng-hou/r2-nlp | src/utils.py | utils.py | py | 2,866 | python | en | code | 0 | github-code | 6 |
27259799820 | """We are the captains of our ships, and we stay 'till the end. We see our stories through.
"""
"""257. Binary Tree Paths
"""
class TreeNode:
def __init__(self, val):
self.val = val
self.left = None
self.right = None
class Solution:
def dfs(self, root, curr_path):
if not roo... | asperaa/back_to_grind | Trees/binary_tree_paths.py | binary_tree_paths.py | py | 777 | python | en | code | 1 | github-code | 6 |
35347629144 | import json
with open('mahasiswa.json', 'r') as file:
a = json.load(file)
b = dict()
c = int(input("Masukkan Jumkah Mahasiswa baru : "))
for i in range(c):
nm = input("Masukkan nama anda: ")
hb = []
untuk_hobi = int(input("Masukkan jumlah hobi: "))
for j ... | TIRSA30/strukdat_04_71210700 | ug4.py | ug4.py | py | 705 | python | en | code | 0 | github-code | 6 |
28924320598 | import os
from flask import Flask, request, abort, jsonify
from flask_sqlalchemy import SQLAlchemy
from flask_cors import CORS
import random
from sqlalchemy import func
from models import setup_db, Question, Category
QUESTIONS_PER_PAGE = 10
# Create APP and settings cors headers
def create_app(test_config=None):
... | steffaru/udacity-trivia-api-project | starter/backend/flaskr/__init__.py | __init__.py | py | 8,097 | python | en | code | 1 | github-code | 6 |
20914243110 | """added columns to Places
Revision ID: cba44d27f422
Revises: 061ea741f852
Create Date: 2023-06-28 15:56:11.475592
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'cba44d27f422'
down_revision = '061ea741f852'
branch_labels = None
depends_on = None
def upgrade... | choihalim/halfway | server/migrations/versions/cba44d27f422_added_columns_to_places.py | cba44d27f422_added_columns_to_places.py | py | 1,294 | python | en | code | 0 | github-code | 6 |
16816563467 | import json
import requests
from django.http import JsonResponse
from django.shortcuts import render
import numpy as np
# Create your views here.
from django.template.defaultfilters import upper
from django.template.loader import render_to_string
from apps.utils.cases import get_scenario_on_day
from apps.utils.dat... | Akijunior/corona-relatorio | src/apps/core/views.py | views.py | py | 2,580 | python | en | code | 0 | github-code | 6 |
42951183100 | class Address:
def __init__(self, obj):
"""
See "https://smartystreets.com/docs/cloud/us-reverse-geo-api#address"
"""
self.street = obj.get('street', None)
self.city = obj.get('city', None)
self.state_abbreviation = obj.get('state_abbreviation', None)
self.zip... | smartystreets/smartystreets-python-sdk | smartystreets_python_sdk/us_reverse_geo/address.py | address.py | py | 398 | python | en | code | 25 | github-code | 6 |
36014041676 | import torch.nn as nn
import tqdm
import torch
class ANN(nn.Module):
def __init__(self, input=4):
super().__init__()
# self.relu1 = nn.ReLU(inplace=True)
self.liner1 = nn.Linear(input,128)
self.relu = nn.ReLU()
self.liner2 = nn.Linear(128,8)
self.liner3 = nn.Linear(8... | infinity-linh/Bot_Inf | scripts/model_ANN.py | model_ANN.py | py | 539 | python | en | code | 0 | github-code | 6 |
74525063866 | import argparse
from datetime import datetime
import os
import sys
import time
import random
from Classifier_3d_v1 import Classifier
import tensorflow as tf
from util import Visualizer
import numpy as np
from dataset_classifier import LungDataset
import torch
from ops import load,save,pixelwise_cross_entropy
import tor... | jimmyyfeng/Tianchi-1 | Tianchi_tensorflow/train_classifier.py | train_classifier.py | py | 3,980 | python | en | code | 5 | github-code | 6 |
24890875535 | #!/bin/env python
# -*- coding: UTF-8 -*-
import wx
import os
import sys
import shutil
import re
import math
from bqList import MyBibleList
from exhtml import exHtmlWindow
class MyApp(wx.App):
path = None
def __init__(self, *args, **kwds):
wx.App.__init__ (self, *args, **kwds)
def OnInit(self):
self.... | noah-ubf/BQTLite | pybq.py | pybq.py | py | 19,493 | python | en | code | 1 | github-code | 6 |
26293955207 | import os
import shutil
#path that this script is in
path = os.path.dirname(os.path.realpath(__file__))
#r = root, d = directories, f = files
for r, d, f in os.walk(path):
for file in f:
if '.c' in file:
#joins the root and file to make file p... | rijaasif/2SH4 | FILE_SCRIPTS/GET_TXT.py | GET_TXT.py | py | 803 | python | en | code | 0 | github-code | 6 |
2778228066 | import types
from imp import reload
def print_status(module):
print(f'reloading {module.__name__}')
def try_reload(module):
try:
reload(module)
except Exception as e:
print(f'FAILED {e.__repr__()} : {module}')
def transitive_reload(module, visited):
if not module in visited:
p... | Quessou/quessoutils | qssmodules/reloadall.py | reloadall.py | py | 967 | python | en | code | 0 | github-code | 6 |
14159066621 | import tkinter as tk
from tkinter import ttk
import pyautogui
import pygetwindow
# The app was developed by Tom Girshovksi.
class CenterWindowGUI:
def __init__(self, master):
self.master = master
master.title("Center Window")
# Create the frame
self.frame = ttk.Frame(master, paddin... | R1veltm/WindowCenterizer | main.py | main.py | py | 3,398 | python | en | code | 2 | github-code | 6 |
43447079150 |
import sys, re
from argparse import ArgumentParser #import the library
parser = ArgumentParser(description = 'Classify a sequence as DNA or RNA') #create one ArgumentParser
parser.add_argument("-s", "--seq", type = str, required = True, help = "Input sequence") #add the first argument
parser.add_argument("-m", "--mot... | stepsnap/git_HandsOn | seqClass.py | seqClass.py | py | 1,881 | python | en | code | 0 | github-code | 6 |
10996457940 | import time
import pyrealsense2 as rs
import numpy as np
import cv2
import os
import open3d as o3d
intrinsics = np.array([
[605.7855224609375, 0., 324.2651672363281, 0.0],
[0., 605.4981689453125, 238.91090393066406, 0.0],
[0., 0., 1., 0.0],
[0., 0., 0., 1.],])
ROOT_DIR ... | midea-ai/CMG-Net | utils/get_points.py | get_points.py | py | 6,789 | python | en | code | 3 | github-code | 6 |
20182818588 | # File: utils.py
# Name: Sergio Ley Languren
"""Utility for wordle program"""
from WordleDictionary import FIVE_LETTER_WORDS
from WordleGraphics import CORRECT_COLOR, PRESENT_COLOR, MISSING_COLOR, UNKNOWN_COLOR, N_COLS, N_ROWS, WordleGWindow
from random import choice
from typing import Type, Union, Optional
from copy... | SLey3/Project-1 | utils.py | utils.py | py | 4,316 | python | en | code | 0 | github-code | 6 |
43011396057 | """Calculate various statistics for the CEA playerbase, and stores in a spreadsheet.
Attributes:
counts (Counter): counting number of games
EXTRA_GAMES_FILE (str): File to be used if we need to input extra games
K (int): K-value used for elo ratings.
"""
import csv
import json
import os
import re... | carsonhu/cea-elo | calculate_elo.py | calculate_elo.py | py | 16,986 | python | en | code | 3 | github-code | 6 |
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