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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
7122973024 | _base_ = '../yolov5/yolov5_s-v61_syncbn_fast_8xb16-300e_coco.py'
data_root = 'data/Ver3/output/' # Root path of data
# Path of train annotation file
train_ann_file = 'train.json'
train_data_prefix = 'train/' # Prefix of train image path
# Path of val annotation file
val_ann_file = 'val.json'
val_data_prefix = 'val/'... | CA-TT-AC/wrong-way-cycling | mmyolo/configs/custom/5m.py | 5m.py | py | 4,019 | python | en | code | 4 | github-code | 36 |
32391506851 | # -*- coding: utf-8 -*-
"""
Created on Fri Sep 16 13:22:19 2016
@author: Zhaoyi.Shen
"""
import numpy as np
def swobs_col(filename):
npz = np.load(filename)
swup_toa = npz['swup_toa']
swdn_toa = npz['swdn_toa']
swup_sfc = npz['swup_sfc']
swdn_sfc = npz['swdn_sfc']
return swdn_toa-swdn_sfc+swu... | szy21/py | lib/calc.py | calc.py | py | 955 | python | en | code | 1 | github-code | 36 |
74879223784 | import pandas as pd
import streamlit as st
import numpy as np
from common import session_manager
ssm = session_manager.st_session()
# ssm.write_session_info()
st.title("表を描画する")
# データフレームを元に表を表示する
df = pd.DataFrame({
'first column': [1, 2, 3, 4],
'second column': [10, 20, 30, 40]
})
st.write("write関数")
st.write... | nishimu555/streamlit-lab | lab2/app/pages/02_write_and_table.py | 02_write_and_table.py | py | 1,107 | python | ja | code | 0 | github-code | 36 |
36307745878 | import cv2
import numpy
import torch
import torch.nn.functional as F
import numpy as np
import matplotlib.pyplot as plt
from sklearn.linear_model import LogisticRegression
from sklearn.model_selection import KFold
import os
import random
from tqdm import tqdm
from segment_anything import SamAutomaticMaskGenerator, sam_... | PeterYYZhang/few-shot-self-prompt-SAM | main.py | main.py | py | 13,776 | python | en | code | 44 | github-code | 36 |
30420538376 | from pyspark.sql import Window
import pyspark.sql.functions as f
from app import columns
class QueryManager:
def __init__(self, spark, trip_fare_df, trip_data_df):
self.spark = spark
self.trip_fare_df = trip_fare_df
self.trip_data_df = trip_data_df
def trips_count(self, date_column):
... | andriisydor/big_data_2023 | app/QueryManager.py | QueryManager.py | py | 20,166 | python | en | code | 0 | github-code | 36 |
71244931944 | import django_filters
from teachers.models import Teacher
class TeacherFilter(django_filters.FilterSet):
class Meta:
model = Teacher
fields = {
'age': ['gte', 'lte', 'exact'],
'first_name': ['icontains'],
'last_name': ['icontains'],
'occupation': ['i... | ApolloNick/lms | api/v1/filters.py | filters.py | py | 341 | python | en | code | 0 | github-code | 36 |
35941174358 | import requests
import json
from PIL import Image, ImageTk
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.chrome.service import Service
from webdriver_manager.chrome import ChromeDriverManager
import time
import os
from bs4 import BeautifulSoup
import tkinter as tk
im... | akaTiger/Mapiot | old.py | old.py | py | 18,576 | python | en | code | 0 | github-code | 36 |
22277300373 | #!/usr/bin/env python
"""
https://www.codewars.com/kata/520b9d2ad5c005041100000f/python
"""
import ipdb
import pytest
"""
pig_it('Pig latin is cool') # igPay atinlay siay oolcay
pig_it('Hello world !') # elloHay orldway !
"""
# from codewars solution
def pig_it(text):
lst = text.split()
return ' '.join(... | romantix74/codewars | move_first_letter_word_end.py | move_first_letter_word_end.py | py | 1,144 | python | en | code | 0 | github-code | 36 |
17310575825 | # MIT License
#
# Copyright (c) 2023 Andrey Zhdanov (rivitna)
# https://github.com/rivitna
#
# Permission is hereby granted, free of charge, to any person obtaining
# a copy of this software and associated documentation files
# (the "Software"), to deal in the Software without restriction, including
# without l... | rivitna/Malware | HsHarada/hsharada_extract_cfg.py | hsharada_extract_cfg.py | py | 3,594 | python | en | code | 218 | github-code | 36 |
7852008585 | class Solution:
def leastInterval(self, tasks: List[str], n: int) -> int:
same_tasks = {}
for c in tasks:
if c in same_tasks:
same_tasks[c] += 1
else:
same_tasks[c] = 1
max_heap = []
for i in same_tasks.values():
hea... | midasama3124/cracking-coding-interview | python/leetcode/task_scheduler.py | task_scheduler.py | py | 798 | python | en | code | 0 | github-code | 36 |
74772398185 | # https://cloud.google.com/pubsub/docs/create-topic#create_a_topic
# https://cloud.google.com/python/docs/reference/pubsub/latest
# %%
from google.cloud import pubsub_v1
# TODO(developer)
project_id = "podact-topic-extractor"
topic_id = "your-topic-id"
publisher = pubsub_v1.PublisherClient()
topic_path = publisher.... | lgarzia/topic_extractions | pub_sub_tutorials/create_and_manage_topic.py | create_and_manage_topic.py | py | 6,502 | python | en | code | 0 | github-code | 36 |
74612434345 | '''
概念：一种保存数据的格式
作用：可以保存本地的json文件，也可以将json串进行传输，通常将json称为轻量级的传输方式
json文件组成
{} 代表对象(字典)
[] 代表列表
: 代表键值对
, 分隔两个部分
'''
import json
jsonStr = '''{
"rate": "8.0",
"cover_x": 1400,
"title": "我是余欢水",
"url": "https:\/\/movie.douban.com\/subject\/33442331\/",
"playable": true,
"cover": "https://img3.doub... | hanyb-sudo/hanyb | 正则表达式与爬虫/3、爬虫/7、json数据解析.py | 7、json数据解析.py | py | 1,279 | python | zh | code | 0 | github-code | 36 |
8325766076 | import json
import math
import random
boardTypes = {'Empty': 0, 'Wall': 1, 'Snake_Body': 2, 'Snake_Head': 3, 'Food': 4}
def distanceBetweenTwoPoints(point1, point2):
return (abs((point2['x'] - point1['x'])) + abs((point2['y'] - point1['y'])))
def createBoardObject(data, snakes):
global boardTypes
boardHeight... | krunal1998/BattleSnake2021 | utility.py | utility.py | py | 1,263 | python | en | code | 0 | github-code | 36 |
23234426744 | from motor import Motor
import keyboard, time, sys
from threading import Thread
import tkinter as tk
'''
#PINOS DE COMUNICAÇÃO EM BINÁRIO
#[0,1,2,3, 4, 5, 6, 7] - BITS DA PLACA
#[1,2,4,8,16,32,64,128] - SINAL DE COMUNICAÇÃO CORRESPONDENTE
'''
mx = Motor(4, 8)
my = Motor(16, 32)
dx, dy = 2700, 270
... | eduardof-rabelo/IC | main.py | main.py | py | 642 | python | pt | code | 0 | github-code | 36 |
12717941520 | # -*- coding: utf-8 -*-
# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: http://doc.scrapy.org/en/latest/topics/item-pipeline.html
import json
# ---
# title: hello,hikyson
# tags: [Default]
# category: [Default]
# comments: true
# date: 2014-04-20 22:18:43
#... | Kyson/ScrapyForAndroidDashboard | ScrapyForAndroidDashboard/ScrapyForAndroidDashboard/pipelines.py | pipelines.py | py | 2,522 | python | en | code | 1 | github-code | 36 |
2835263565 | import pandas as pd
import plotly.express as px
from ..sequence_info.sequences import group_2_coins
from ..utils import google_form_question_to_coin_sequence
DATA_FILENAME = "C:/Users/Crystal Wang/Downloads/9.660/9.660-final-project/data/data.csv"
def get_df():
df = pd.read_csv(DATA_FILENAME)
df = df.drop("T... | cwcrystal8/9.660-final-project | coins/data_cleaning/groups.py | groups.py | py | 3,884 | python | en | code | 0 | github-code | 36 |
36748158121 | import hashlib
import os
from string import hexdigits
class FudgeException(Exception):
pass
def read_file(path, mode='rb'):
with open(path, mode) as f:
data = f.read()
return data
def write_file(path, data, mode='wb'):
with open(path, mode) as f:
f.write(data)
def makedirs(path):... | QuantamKawts/fudge | fudge/utils.py | utils.py | py | 1,568 | python | en | code | 0 | github-code | 36 |
39303555840 | #!usr/bin/env python
# -*- coding:utf-8 -*-
"""
@author: admin
@file: MultiHeadedAttention.py
@time: 2021/09/02
@desc:
"""
import copy
import torch
import math
from torch import nn
import torch.nn.functional as F
def clones(module, N):
"""
克隆基本单元，克隆的单元之间参数不共享
"""
return nn.ModuleList([
copy.dee... | coinyue/Transformer | model/MultiHeadedAttention.py | MultiHeadedAttention.py | py | 2,463 | python | en | code | 0 | github-code | 36 |
19944553952 | from time import sleep
from threading import Thread
from consumer import QueryConsumer
from querier import QueryMongo
class Pipe(QueryConsumer):
def __init__(self):
super().__init__()
self._mongo = QueryMongo()
self._switch = False
self._response = None
self._queue = []
... | MatheusGaignoux/Kafka-MongoDB-query-parameters-integration | src/pipe.py | pipe.py | py | 1,181 | python | en | code | 0 | github-code | 36 |
29501639753 | import sys, math
input = sys.stdin.readline
A, B = map(int, input().split())
point = int(math.sqrt(B))
# 제곱근까지만 탐색하여 시간 아낌
prime = [True] * (point + 1)
# 모든 수를 소수라고 가정
prime[1] = False
# 소수 판별
for i in range(2, point + 1):
if prime[i]:
if i*i > point:
break
for j in range(int(math.pow... | harii-in/BAEKJOON | 1456.py | 1456.py | py | 738 | python | ko | code | 0 | github-code | 36 |
31859196035 | from pygame import *
class UserControl(object):
"""docstring for UserControl."""
def __init__(self):
print("User controller init!")
def decide(self, keys,cells=None, prev_pos=(0,0)):
dx,dy = prev_pos
if keys[K_w] and dy != 1:
dx, dy = 0,-1
if keys[K_s] and d... | CymerR/School_snake_ai | UserControl.py | UserControl.py | py | 500 | python | en | code | 1 | github-code | 36 |
34212093305 | # https://www.acmicpc.net/problem/16236
# sol
# 상어객체를 구현하여 bfs로 최단거리의 가능한 먹이를 탐색한다
# 1) bfs하며 최단거리이면서 (여럿일 경우 위쪽/왼쪽순) 먹을 수 있는(상어보다 사이즈 작은) 먹이 탐색
# 1-1) 이때 가능한 먹이가 여럿일 수 있기에 bfs 큐에 상어 이동거리를 포함하는 변형이 들어간다
# 1-2) 가능한 먹이가 없으면 그때까지 상어 이동거리를 return하고 끝낸다
# 2) 결정된 먹이를 먹고 상어의 상태와 space를 업데이트 한다
# 3) 가능한 먹이 없을때까지 bfs를 반복한... | chankoo/problem-solving | graph/boj16236.py | boj16236.py | py | 3,914 | python | ko | code | 1 | github-code | 36 |
74605435944 | from model.contact import Contact
from datetime import datetime
import re
import csv
class Phonebook:
"""
The Phonebook class allows users to create, update, delete, search, and perform various operations on contacts.
Attributes:
contacts (list): A list of Contact objects representing the phoneb... | Kartik-Nair/PhoneBook | phonebook.py | phonebook.py | py | 16,960 | python | en | code | 0 | github-code | 36 |
17164702508 | from os import DirEntry
from geradorDeSql import GeradorDeSql
#logstash_data={"host":"192.168.0.116","port":5000,"username":"elastic","password":"changeme"}
#logstash_data={"host":"192.168.0.116","port":5000}
class Gerar_bd_teste:
def __init__(self,local_sqlite:DirEntry="scripts/teste_db.db",total_threads=0,logsta... | mzramna/algoritimo-de-testes-de-benchmark-de-bancos-de-dados | scripts/geração_bd_testes.py | geração_bd_testes.py | py | 1,385 | python | pt | code | 0 | github-code | 36 |
39353557558 | import math
def area(r):
"""Area of a circle with radius 'r'"""
return math.pi * (r**2)
radii = [2, 5, 7.1, 0.3, 10]
# Method 1: Direct method
areas = []
for r in radii:
a = area(r)
areas.append(a)
print(areas)
# Method 2: Use 'map' functions
print(list(map(area, radii)))
print("===========")
... | Vaijyant/PythonPlayground | 23_map_filter_redunce.py | 23_map_filter_redunce.py | py | 1,113 | python | en | code | 0 | github-code | 36 |
2808401161 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
__version__ = "0.1.2"
__author__ = "Abien Fred Agarap"
import argparse
from models.svm.svm import Svm
# Hyper-parameters
BATCH_SIZE = 256
LEARNING_RATE = 1e-5
N_CLASSES = 2
SEQUENCE_LENGTH = 21
def parse_ar... | AFAgarap/gru-svm | svm_main.py | svm_main.py | py | 3,519 | python | en | code | 136 | github-code | 36 |
70938863144 | from math import fabs
class Graphics:
RATIO = 2
#rectSymbol = "#"
rectSymbol = "█"
underSymbol = "="
def __init__(self, w, h, ratio=2):
self.HEIGHT = h
self.WIDTH = w
self.RATIO = ratio
self.RATIO_WIDTH = w * ratio
self.lines = []
for i in range(se... | Cooble/BirthdayPie | graphics.py | graphics.py | py | 3,818 | python | en | code | 0 | github-code | 36 |
26376325124 | #!/usr/bin/env python
# coding: utf-8
# In[12]:
# Question 1 c)
# Author: Ilyas Sharif
import numpy as np
import matplotlib.pyplot as plt
# Defining the parameters that didn't change (same as code for before)
v_f = 0.1
omega_0 = 1
tau = 1
gamma = 0.5
a = 0.0
b = 100.0
N = 10000
h = (b-a)/N
tpoints = np.arange(a, ... | SpencerKi/Computational-Methods | Differentiation and Differential Equations/Lab06_Q1_c.py | Lab06_Q1_c.py | py | 1,726 | python | en | code | 0 | github-code | 36 |
33660433557 | import os
from flask import Flask, Response, request, current_app, url_for, send_from_directory
from fishapiv2.database.models import *
from flask_restful import Resource
from werkzeug.utils import secure_filename
from fishapiv2.resources.helper import *
from fishapiv2.resources.controller.authentication import *
impor... | MauL08/AquaBreedingAPI-V2 | fishapiv2/resources/controller/pond.py | pond.py | py | 12,401 | python | en | code | 0 | github-code | 36 |
12803276455 | import os, sys, io, math
class SequenceReader:
def __init__(self, file_path):
self.file_path = file_path
def set_file_path(self, file_path):
self.file_path = file_path
def get_file_path(self):
return self.file_path
def read_sequence(self):
with open(self.file_path... | ender-s/HMM-Based-Secondary-Structure-Prediction | hmm_based_predictor.py | hmm_based_predictor.py | py | 12,161 | python | en | code | 0 | github-code | 36 |
26540686747 | from random import randint
import xlrd
from datetime import datetime
import matplotlib.pyplot as plt
# this should be done with a database, so I should not put too much effort into making this program easy to use
PATH = "/home/yannick/git-repos/MyPython/math programs/investi.xls" # .xls only
DATA_RANGE = (15, 559) # ... | su595/MyPython | math programs/statistics.py | statistics.py | py | 4,798 | python | en | code | 2 | github-code | 36 |
9924072616 | import os
import re
import sys
from lib.instruction import Instruction, AInstruction, CInstruction, LInstruction
from typing import Generator, Tuple
class Parser:
"""
Parse the Xxx.asm into stream of instructions.
- read source file
- understand the format of input file
- break each into differen... | mtx2d/nand2tetris | projects/06/src/lib/parser.py | parser.py | py | 2,398 | python | en | code | 0 | github-code | 36 |
26767660941 | import prodigy
from prodigy.components.loaders import JSONL
from prodigy.components.db import connect
import random
from datetime import datetime
with open('prodigy_recipe/template.js', 'r') as template:
javascript_template = template.read()
@prodigy.recipe("classify-trees")
def classify_trees(dataset, source):
... | aloui-mathias/campagne_prodigy | prodigy/prodigy_recipe/classify_tree_patches.py | classify_tree_patches.py | py | 977 | python | en | code | 0 | github-code | 36 |
21131295808 | """Nautobot Golden Config plugin application level metrics ."""
from django.conf import settings
from django.db.models import Count, F, Q
from nautobot.dcim.models import Device
from prometheus_client.core import GaugeMetricFamily
from nautobot_golden_config.models import ComplianceFeature, ComplianceRule, ConfigCompl... | nautobot/nautobot-plugin-golden-config | nautobot_golden_config/metrics.py | metrics.py | py | 4,420 | python | en | code | 91 | github-code | 36 |
25606581626 | # Exercício Python 058: Melhore o jogo do DESAFIO 028 onde o computador vai "pensar" em um número entre 0 e 10. Só que
# agora o jogador vai tentar adivinhar até acertar, mostrando no final quantos palpites foram necessários para vencer
from random import randint
from time import sleep
bot = randint(0, 10)
tentativas ... | MarcosSx/CursoGuanabara | Exercicios/mundo2/aula014_estruturaDeRepericaoWhile/ex058-JogoDaAdvinhacaoV2.py | ex058-JogoDaAdvinhacaoV2.py | py | 790 | python | pt | code | 0 | github-code | 36 |
38164787541 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('foi_requests', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='foirequest',
name=... | foilaundering/foilaundering | foilaundering/apps/foi_requests/migrations/0002_auto_20151122_1253.py | 0002_auto_20151122_1253.py | py | 587 | python | en | code | 0 | github-code | 36 |
11458787486 | import time
from decimal import getcontext,Decimal
#计时开始时间点
start=time.time()
#精度设置（此处设置为总位数，为使精确到小数点后100位应设为101
getcontext().prec=101
#用于arctan计算的精确值
par1=Decimal(1)/Decimal(5)
par2=Decimal(1)/Decimal(239)
#得到arctan每一项与求和每一项的函数
def arctanSer(num,index):
if index%2==0: #正负判断
flag=-1
else:
flag=... | A-LOST-WAPITI/Computational_Physics | HW_2/Problem_2.py | Problem_2.py | py | 909 | python | zh | code | 0 | github-code | 36 |
22283584367 | #!/Users/tnt/Documents/虚拟环境/Py4E/bin/python3
# -*- encoding: utf-8 -*-
# Time : 2021/07/25 22:41:43
# Theme : 寻找数组中第二个最大元素
def find_second_maximum_1(lst):
first_max = float('-inf')
second_max = float('-inf')
# find first max
for item in lst:
if item > first_max:
first_max = item
... | Createitv/BeatyPython | 05-PythonAlgorithm/BasicDataStructure/array/second_largest_num.py | second_largest_num.py | py | 1,616 | python | en | code | 1 | github-code | 36 |
74998248105 | from __future__ import print_function
import numpy as np
import cv2
import subprocess
import itertools
from multiprocessing import Pool
import sys
import os
import time
import numpy as np
import theano
import theano.tensor as T
import lasagne
f = subprocess.check_output(["ls"]).split()
files = []
#make list of... | arvigj/cv_hw3 | new_eval.py | new_eval.py | py | 15,057 | python | en | code | 0 | github-code | 36 |
71257318823 | import math
from typing import List
import numpy as np
import torch
import torch.jit as jit
import torch.nn as nn
import torch.nn.functional as F
from torch import Tensor
from torch.nn import Parameter
from language_models.language_base_model import LanguageBaselightning
class RNNCell(jit.ScriptModule):
def __... | shuishen112/TensorLanguageModel | language_models/lightRNN.py | lightRNN.py | py | 7,044 | python | en | code | 0 | github-code | 36 |
20407317439 | class Graph:
def __init__(self,Vertices):
self.V = Vertices
self.graph = []
def addEdge(self,u,v,w):
self.graph.append([u,v,w])
def find(self,parent,i):
if parent[i] == i:
return i
return self.find(parent,parent[i])
def print_g(self):
print(... | Bishtman12/DSA---Python | Graph/Minimum Spanning Tree(kRUSKALS).py | Minimum Spanning Tree(kRUSKALS).py | py | 2,011 | python | en | code | 0 | github-code | 36 |
40264668629 | volume = int(input())
pipe1 = int(input())
pipe2 = int(input())
hours = float(input())
total_volume = (pipe1 + pipe2) * hours
if total_volume <= volume:
pool_percent = (total_volume / volume) * 100
pipe1_percent = ((pipe1 * hours) / total_volume) * 100
pipe2_percent = ((pipe2 * hours) / total_volume) * 100
... | ivoivanov0830006/1.1.Python_BASIC | 2.Conditional_statements/**01.Pool_pipes.py | **01.Pool_pipes.py | py | 557 | python | en | code | 1 | github-code | 36 |
32882450678 | #!/usr/bin/python3
import os, os.path
import json
import subprocess
from flask import Flask, request, redirect, abort
from time import sleep
app = Flask(__name__)
GITROOT = '/home/ubuntu/service/'
@app.route('/')
def index():
return redirect('https://github.com/TauWu/spider_monitor_api')
@app.route('/', methods... | TauWu/spider_monitor_api | extra/hook.py | hook.py | py | 732 | python | en | code | 0 | github-code | 36 |
34609621508 | """
650. 2 Keys Keyboard
There is only one character 'A' on the screen of a notepad. You can perform one
of two operations on this notepad for each step:
1. Copy All: You can copy all the characters present on the screen.
2. Paste: You can paste the characters which are copied last time.
Given an integer n, re... | wuihee/data-structures-and-algorithms | programming-paradigm/dynamic_programming/min_max_path/keyboard.py | keyboard.py | py | 1,811 | python | en | code | 0 | github-code | 36 |
7044056393 | # !/usr/bin/env python
import rospy
import websocket
import json
# from msg.ObjectArray import ObjectArray
from detection.msg._ObjectArray import ObjectArray
LABELS = ["human", "unknown", "animals"]
try:
import thread
except ImportError:
import _thread as thread
import time
def on_message(ws, message):
... | cds-mipt/animal_ir_detection | sender/scripts/sender.py | sender.py | py | 1,890 | python | en | code | 0 | github-code | 36 |
3837799598 | import numpy as np
from numpy import array, trace, random, linalg
from numpy.linalg import norm
def projectorOnto(vector):
""" Returns a rank-1 projector onto a given vector
"""
return np.tensordot(vector, vector.conj(), 0)
def randomPureState(dim):
""" Generates Haar-random pure state density matrix
... | kanhaiya-gupta/quantum-learning | lib/simulator.py | simulator.py | py | 3,127 | python | en | code | null | github-code | 36 |
16283819127 | from django.conf.urls import url
from .views import(
AddQuestionCreateAPIView,
QuestionListAPIView,
QuestionRUDAPIView,
QuestionImageRUDAPIView,
UserQuestionListAPIView,
TopicCreateAPIView,
TopicRUDAPIView,
SubTopicCreateAPIView,
SubTopicRUDAPIView,
... | ashukesri/100Percentile | questions/urls.py | urls.py | py | 2,307 | python | en | code | 0 | github-code | 36 |
18915553573 | import pytest
from src.same_tree import Solution
from src.utils.binary_tree import list_to_tree
@pytest.mark.parametrize(
"list_p,list_q,equal",
[
([1, 2, 3], [1, 2, 3], True),
([1, 2], [1, None, 2], False),
([], [], True),
([1, 2, 1], [1, 1, 2], False),
],
)
def test_solu... | lancelote/leetcode | tests/test_same_tree.py | test_same_tree.py | py | 456 | python | en | code | 3 | github-code | 36 |
38830842298 | from rest_framework import status
def jwt_response_payload_handler(token, user=None, request=None):
return {
'code': status.HTTP_200_OK,
'message': '',
'result': {
'token': token,
'user_id': user.id,
'username': user.username
}
}
| helloming86/DjangoJWTDemo | users/utils.py | utils.py | py | 308 | python | en | code | 0 | github-code | 36 |
35555355731 | from datetime import date
from fastapi import APIRouter, Depends, Query
from sqlalchemy.ext.asyncio import AsyncSession
from api.deps import get_db
from crud.analytics import get_analytics_by_range_of_dates, get_analytics_by_student_id
from schemas.analytics import AnalyticsByRangeOfDates
router = APIRouter()
@rou... | starminalush/mfdp-2023-mvp | backend/api/endpoints/analytics.py | analytics.py | py | 1,680 | python | en | code | 0 | github-code | 36 |
34086502752 | from batch import create_udb
from projectMetrics import projectMetric
from subprocess import call
import git
import sys
import datetime
import os
import shutil
import time
def main():
git_repo = sys.argv[1] # git repo is the relative path from the folder
all_sha1 = []
sha_dtime = []
repo = git.Rep... | akhilsinghal1234/mdd-intern-work | Extraction/main.py | main.py | py | 1,009 | python | en | code | 0 | github-code | 36 |
39808955729 | import tensorflow as tf
def unpool(value, name='unpool'):
"""From: https://github.com/tensorflow/tensorflow/issues/2169
N-dimensional version of the unpooling operation from
https://www.robots.ox.ac.uk/~vgg/rg/papers/Dosovitskiy_Learning_to_Generate_2015_CVPR_paper.pdf
:param value: A Tensor of shape [... | ninfueng/convolutional-autoencoder-for-anomaly-detection | model.py | model.py | py | 3,847 | python | en | code | 1 | github-code | 36 |
42244011138 | # -*- coding: utf-8 -*-
# Part of Odoo. See LICENSE file for full copyright and licensing details.
from odoo import api, fields, models, tools, _
from odoo import SUPERUSER_ID
import io
import csv
import base64
import ftplib
from odoo.tools import pycompat
import logging
_logger = logging.getLogger(__name__... | eqilibruim-solutions/Theme-1 | clarico_ext/models/product_template.py | product_template.py | py | 7,913 | python | en | code | 0 | github-code | 36 |
5972086108 | import random
import pygame
import copy
l = [[random.choice([0, 1]) for i in range(48)] for i in range(48)]
k = [[0 for i in range(48)] for i in range(48)]
pygame.init()
s = pygame.display.set_mode((480, 480), 0, 32)
o = True
def z(x, y):
m = 0
for i in (x - 1, x, x + 1):
for j in (y ... | Lil-Shawn/game-of-life | main.py | main.py | py | 1,240 | python | en | code | 0 | github-code | 36 |
32253555423 | #Day 14 - 30 days of code, scope
class Difference:
def __init__(self, a):
self.__elements = a
def computeDifference(self):
new_array = list(map(lambda x: abs(x), self.__elements))
v_max = max(new_array)
v_min = min(new_array)
self.maximumDifference = v_max - v_min
mi_li... | alexmagno6m/scripts | 30_days_14.py | 30_days_14.py | py | 409 | python | en | code | 0 | github-code | 36 |
33567308542 | import numpy as np
import ROOT
ROOT.gROOT.SetStyle("ATLAS")
software = [
'acts',
'athena',
]
sample = 'ttbar'
#sample = 'singleMu_100GeV'
event_name = "ttbar 14 TeV"
#event_name = "single Mu pT = 100 GeV"
string = '===>>> done processing event'
log_lines_grid = [line.replace('|TIMER ACTS| ','') for line in open('... | LuisFelipeCoelho/seeding_analysis_tools | read_timer2.py | read_timer2.py | py | 11,952 | python | en | code | 0 | github-code | 36 |
39929411303 | import sys
n, m, r, c, k = map(int, sys.stdin.readline().split())
board = [list(map(int, sys.stdin.readline().split())) for r in range(n)]
move_list = list(map(int, sys.stdin.readline().split()))
dice = [0, 0, 0, 0, 0, 0]
def roll(dice, direction):
if direction == 1:
temp = dice[5]
dice[5] = dice[3]
dice[2:4]... | Choi-Sung-Hoon/Algorithm_with_Python | BOJ/14499.py | 14499.py | py | 1,219 | python | en | code | 1 | github-code | 36 |
15991499425 | import os
import argparse
import torch
from torch import nn
import torch.backends.cudnn as cudnn
from torch.utils.data.distributed import DistributedSampler
from torch.utils.data import DataLoader
import numpy as np
import cv2
from seg_metric import SegmentationMetric
import random
import shutil
import setproctitle
imp... | zyxu1996/Efficient-Transformer | train.py | train.py | py | 21,965 | python | en | code | 67 | github-code | 36 |
13989585282 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys
from PyQt5.QtWidgets import QWidget, QApplication
from PyQt5.QtGui import QPainter, QColor
class MainWindow(QWidget):
def __init__(self):
super().__init__()
self.initUI()
def initUI(self):
self.setGeometry(300, 300, 350, 100)
... | shellever/Python3Learning | thirdparty/pyqt5/painting/drawrectangles.py | drawrectangles.py | py | 1,308 | python | en | code | 0 | github-code | 36 |
2894217699 | from typing import Dict, Callable
from src.dialog.common.manage_entity.ManageEntityDialogMode import ManageEntityDialogMode
from src.property.Property import Property
from src.session.common.Session import Session
from src.storage.common.entity.Entity import Entity
from src.storage.common.entity.EntityStorage import E... | andreyzaytsev21/MasterDAPv2 | src/dialog/common/manage_entity/ManageEntityContainerSaver.py | ManageEntityContainerSaver.py | py | 2,456 | python | en | code | 0 | github-code | 36 |
35396952388 | from __future__ import (nested_scopes, generators, division, absolute_import, with_statement,
print_function, unicode_literals)
from collections import defaultdict
from contextlib import contextmanager
import inspect
import logging
import os
import re
import sys
import traceback
from twitter.c... | fakeNetflix/square-repo-pants | src/python/pants/commands/goal_runner.py | goal_runner.py | py | 10,794 | python | en | code | 0 | github-code | 36 |
36496422479 | from peewee import *
from playhouse.fields import ManyToManyField
from backend.connection_manager import db
from backend.models.feed import Feed
from backend.models.route import Route
class Stop(Model):
id = PrimaryKeyField()
stop_id = BigIntegerField(null=False)
name = CharField(null=False)
lat = Fl... | seniorpreacher/timap | backend/models/stop.py | stop.py | py | 2,027 | python | en | code | 0 | github-code | 36 |
73571310823 | from datetime import datetime
from typing import List, Union
from sqlalchemy import select
from sqlalchemy.ext.asyncio import AsyncSession
from app.models import CharityProject, Donation
async def get_not_closed_investing_objects(
model: Union[CharityProject, Donation],
session: AsyncSession
) -> Li... | ThatCoderMan/QRkot_spreadsheets | app/services/investing.py | investing.py | py | 2,014 | python | en | code | 1 | github-code | 36 |
5180131116 | from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense, InputLayer
import pandas as pd
import numpy as np
from pickle import load
from sklearn.preprocessing import MinMaxScaler
model = Sequential([
InputLayer(input_shape=7),
Dense(5, activation = 'relu'),
Dense(4, activation =... | adish13/Moodify-Learning | music_test.py | music_test.py | py | 993 | python | en | code | 1 | github-code | 36 |
12367122482 | #!/usr/bin/env ccp4-python
'''
Created on 16 Jan 2016
@author: hlfsimko
'''
import glob
import os
import sys
from ample.constants import SHARE_DIR
from ample.testing import test_funcs
from ample.testing.integration_util import AMPLEBaseTest
INPUT_DIR = os.path.join(SHARE_DIR, "examples", "single-model", "input")
TE... | rigdenlab/ample | examples/single-model/test_cases.py | test_cases.py | py | 2,414 | python | en | code | 6 | github-code | 36 |
27555873919 | class Solution:
def canPlaceFlowers(self, flowerbed: List[int], n: int) -> bool:
for i, num in enumerate(flowerbed):
isCurrentPlaceClear = flowerbed[i] == 0
isPreviousPlaceClear = i == 0 or flowerbed[i - 1] == 0
isNextPlaceClear = i == len(flowerbed) - 1 or flowerbed[i + ... | maxlevashov/leetcode | python/605_Can_Place_Flowers.py | 605_Can_Place_Flowers.py | py | 488 | python | en | code | 1 | github-code | 36 |
34684965876 | __all__ = ['nuke_all', 'is_empty']
def nuke_all(classes):
'Destroys all objects'
for cls in classes:
for obj in cls.objects.all():
obj.delete()
def is_empty(classes):
'''returns False if any instances of the given classes exist, else returns True'''
for cls in classes:
if 0... | readcoor/MIDAS-MICrONS | django/nada/fixtures/utils.py | utils.py | py | 410 | python | en | code | 0 | github-code | 36 |
35851037675 | #Django Libs
from django.http.response import FileResponse, HttpResponse
from django.shortcuts import render
from django.urls import reverse
from django.views.generic import View, CreateView, DeleteView, UpdateView, DetailView, ListView, TemplateView
from django.db.models import Sum
from django.core.serializers import ... | RobertoMarroquin/garrobo | iva/views.py | views.py | py | 8,321 | python | en | code | 0 | github-code | 36 |
35906634663 | from flask import Flask, render_template, flash, redirect, request, url_for, jsonify
from multiprocessing import Process, Queue
from xBee_recieve import reciever
app = Flask(__name__)
processes = []
collectedData = []
def getNewXbeeData(q):
PORT = "COM2"
BAUD = 9600
MAC = "13A20041C7BFFC"
r = reci... | explosion33/PIPayload | ground/api.py | api.py | py | 2,488 | python | en | code | 1 | github-code | 36 |
27359625037 | #!/usr/bin/python3
import os
import requests
my_ip_file = os.path.join("/tmp", "myIp.txt")
def myIp():
return requests.get("https://gianlu.dev/ip").text.strip()
def writToFile(filename, content):
fp = open(filename, "wt", encoding="utf8")
fp.write(content)
fp.close()
def readFile(filename):
... | GianluDeveloper/OpenRemotePort | CronKeeper.py | CronKeeper.py | py | 681 | python | en | code | 0 | github-code | 36 |
14199179259 | import time
class criatura():
"""docstring for criatura"""
def __init__(self, pos, dir, imagen, tic, toc, tiempo_entre_mov):
self.pos = None
self.dir = None
self.imagen = None
self.tic = None
self.toc = None
self.tiempo_entre_mov = None
class pac_man():
"""... | dsvalenciah/python-pacman | temp.py | temp.py | py | 1,671 | python | es | code | 0 | github-code | 36 |
5993681332 | if __name__ == "__main__":
# Метод Гаусса
f = open("Input.txt")
RANGE = int(f.read(1)) # Записываем количество строк матрицы
COLUMN = int(f.read(1)) # Записываем количество столбцов матрицы
mat = [] # Считываем матрицу из файла
f.read(1)
for line in f.readlines():
mat.append(lin... | alexneysis/numerical-methods | gauss_A0/my_method.py | my_method.py | py | 3,308 | python | ru | code | 0 | github-code | 36 |
25353888497 | import socketserver
import sys
from python import http
import requestParsing
class TCPHandler(socketserver.BaseRequestHandler):
def handle(self):
recieved_data = self.request.recv(1024)
print(self.client_address[0] + " is sending data")
print("----")
print(recieved_data.decode())
... | jackyzhu209/312-Project | website/server.py | server.py | py | 2,395 | python | en | code | 0 | github-code | 36 |
11014211257 |
from django.shortcuts import render, redirect, get_object_or_404
from .forms import LibroForm
from django.shortcuts import render
from .models import Libro
from django.urls import reverse_lazy
from django.contrib.auth.mixins import LoginRequiredMixin
from django.views.generic.edit import CreateView
from django.views.g... | ezecodo/Entrega1-Angeloni | libros/views.py | views.py | py | 2,052 | python | en | code | 0 | github-code | 36 |
43537572862 | range_lower = 146810
range_higher = 612564
def is_valid(number):
as_string = str(number)
adjacents = []
for i in range(1, len(as_string)):
current = int(as_string[i])
previous = int(as_string[i-1])
if current < previous:
return False
if current == previous:
adjacents.append((i, i-1,... | ChrisWilliamson123/advent-of-code-2019 | day4/main.py | main.py | py | 799 | python | en | code | 1 | github-code | 36 |
41635503393 | from google.cloud import firestore, storage, exceptions
import os
db = firestore.Client()
content = db.collection('fl_content')
storage_client = storage.client.Client()
bucket = storage_client.get_bucket('psyclonic-studios-website.appspot.com')
def new_transaction():
return db.transaction()
@firestore.transacti... | Psyclonic-Studios/psyclonic-studios-website | server/crud.py | crud.py | py | 13,541 | python | en | code | 0 | github-code | 36 |
30791311833 | from .operator import Operator
from .loader import load_from_dir
from .built_in import BUILTIN_OPERATORS
class OperatorRegistry:
def __init__(self):
self.plugin_contexts = load_from_dir()
def list_operators(self):
"""Lists the available FiftyOne operators.
Returns:
a list... | Rusteam/fiftyone | fiftyone/operators/registry.py | registry.py | py | 1,866 | python | en | code | null | github-code | 36 |
25338326690 | import torch
import seaborn as sn
from matplotlib import pyplot as plt
from model import ConvNet
from MnistDataset import Mydataset
from torch.utils.data import DataLoader
import numpy as np
import pandas as pd
torch.manual_seed(13)
def get_score(confusion_mat):
smooth = 0.0001 #防止出现除数为0而加上一个很小的数
tp = np.di... | Huyf9/mnist_pytorch | test.py | test.py | py | 1,732 | python | en | code | 1 | github-code | 36 |
4108236217 | one = input()
two = input()
oneL = len(one)
twoL = len(two)
dp = [[0] * (twoL + 1) for _ in range(oneL + 1)]
for i in range(1, oneL + 1):
for j in range(1, twoL + 1):
if one[i - 1] == two[j - 1]:
dp[i][j] = dp[i - 1][j - 1] + 1
else:
dp[i][j] = max(dp[i - 1][j], dp[i][j - 1])... | AAZZAZRON/DMOJ-Solutions | dpf.py | dpf.py | py | 559 | python | en | code | 1 | github-code | 36 |
41977316312 | import json
class Destinations:
def __init__(self):
self.destination = ""
self.file_name = "destinations.json"
def write_to_json_file(self):
dictionary = {
"destination": self.destination
}
json_object = json.dumps(dictionary, indent=1, ensure_ascii=False)
... | DistributedTravels/Scraper | scraper/destinations.py | destinations.py | py | 416 | python | en | code | 0 | github-code | 36 |
43753620311 | from rest_framework_simplejwt.authentication import JWTAuthentication
from rest_framework.permissions import IsAuthenticated
from rest_framework.response import Response
from rest_framework.decorators import (
api_view,
permission_classes,
authentication_classes
)
from django.contrib.auth.models import Use... | lazarmarkovic/uks2020 | backend/repository/views/repo_views.py | repo_views.py | py | 8,275 | python | en | code | 0 | github-code | 36 |
27616329139 | #coding=utf8
import numpy as np
np.random.seed(1337) # for reproducibility
import re
import h5py
import os
from nltk import tokenize
from keras.preprocessing.text import Tokenizer, text_to_word_sequence
from attention import Attention_input1, Attention_input2
from keras.preprocessing.text import Tokenizer
from keras.p... | xunan0812/MultiSentiNet | src/att_sc_ob_txt.py | att_sc_ob_txt.py | py | 6,726 | python | en | code | 16 | github-code | 36 |
43296965814 | # spaceconfig = {"usemodules" : ["_collections"]}
from _collections import deque
from pytest import raises
def test_basics():
assert deque.__module__ == 'collections'
d = deque(xrange(-5125, -5000))
d.__init__(xrange(200))
for i in xrange(200, 400):
d.append(i)
for i in reversed(xrange(-2... | mozillazg/pypy | pypy/module/_collections/test/apptest_deque.py | apptest_deque.py | py | 7,397 | python | en | code | 430 | github-code | 36 |
7813396326 | import re
from math import ceil
import dateparser
from aspen.database.models import TreeType
from aspen.workflows.nextstrain_run.build_plugins.base_plugin import BaseConfigPlugin
class TreeTypePlugin(BaseConfigPlugin):
crowding_penalty: float = 0
tree_type: TreeType
subsampling_scheme: str = "NONE"
... | chanzuckerberg/czgenepi | src/backend/aspen/workflows/nextstrain_run/build_plugins/type_plugins.py | type_plugins.py | py | 14,798 | python | en | code | 11 | github-code | 36 |
18553686764 | import random
from itertools import chain
import numpy as np
import pandas as pd
from cytoolz import itemmap, sliding_window, valmap
from skfusion import fusion
class DataFusionModel(object):
def __init__(
self, nodes, relations, init_type="random", random_state=666, n_jobs=1
):
self.nodes = ... | zorzalerrante/aves | src/aves/models/datafusion/base.py | base.py | py | 4,339 | python | en | code | 57 | github-code | 36 |
2535331354 | import numpy as np
import tensorflow as tf
import agents.utils as agent_utils
import config_constants as cc
from model.LehnertGridworldModelLatent import LehnertGridworldModelLatent
class LehnertGridworldModelGMM(LehnertGridworldModelLatent):
ENCODER_NAMESPACE = "encoder"
NUM_ACTIONS = 4
def __init__(se... | ondrejbiza/discrete_abstractions | model/LehnertGridworldModelGMM.py | LehnertGridworldModelGMM.py | py | 5,729 | python | en | code | 4 | github-code | 36 |
39885168812 | import pytz
import base64
from typing import List
from flask import Blueprint, request, redirect, abort
from flask_login.utils import login_required
from datetime import datetime, timedelta, timezone
from flask.templating import render_template
from flask_login import current_user
from mib.rao.user_manager import UserM... | squad03mib/api-gateway | mib/views/messages.py | messages.py | py | 5,044 | python | en | code | 0 | github-code | 36 |
23469121006 | import yaml,os
class Common_funcs():
def get_datas(self,path:str)-> list:
# 打开文件
current_path = os.getcwd().split("lagou05")[0]
#print(current_path)
with open(current_path+"\\lagou05"+path) as f:
datas = yaml.safe_load(f)
#print(datas)
# 获取文件中key为d... | testroute/lagou05 | Common/Read_yaml.py | Read_yaml.py | py | 1,286 | python | zh | code | null | github-code | 36 |
71275872103 | # Import packages
from copy import deepcopy
from math import exp
from helpers import *
from worlds import *
# This is our Player class. I assume that from a cognitive standpoint it makes
# sense that all players have access to literal meanings, so I put them there
# Otherwise not very interesting
class Player:
def... | LangdP/SMIC_boltanski_thevenot | ver_2/players.py | players.py | py | 4,795 | python | en | code | 0 | github-code | 36 |
24856735986 | def max_multiple(num, boundary):
max_mult = 0
for i in range(1, boundary + 1):
if i > 0 and i % num == 0:
max_mult = i
print(max_mult)
divisor = int(input())
count = int(input())
max_multiple(divisor, count) | BorisAtias/SoftUni-Python-Fundamentals-course | Basic Syntax, Conditional Statements and Loops - Exercise/04. Maximum Multiple.py | 04. Maximum Multiple.py | py | 253 | python | en | code | 0 | github-code | 36 |
35909112249 | '''
Created on 22/03/2015
@author: chips
'''
from FGAme.core import EventDispatcherMeta, signal, conf
from FGAme.draw import Color, Shape
from FGAme.util import lazy
DEBUG = False
class HasVisualization(object):
_is_mixin_ = True
_slots_ = ['_color', '_linecolor', '_linewidth']
def _init_has_visualizat... | macartur-UNB/FGAme | src/FGAme/objects/mixins.py | mixins.py | py | 2,803 | python | en | code | null | github-code | 36 |
1206611132 | """Utils functions."""
import datetime
def MillisecondsSinceEpoch(hours):
"""Returns time in milliseconds since epoch for given time in hours.
Args:
hours: Int, the hours of the future timestamp.
Returns:
Int, the future timestamp in milliseconds.
"""
hours = datetime.datetime.no... | DomRosenberger/google_bigquery | google_bigquery/common/utils.py | utils.py | py | 479 | python | en | code | 2 | github-code | 36 |
27757120954 | # -*- coding: utf-8 -*-
"""
Created on Sun Nov 15 15:44:55 2020
@author: ardaegeunlu
"""
import re
def LCCSortComparison(call1, call2):
preCutter1, postCutter1 = SeperateViaCutter(call1)
preCutter2, postCutter2 = SeperateViaCutter(call2)
preCutterComp = PreCutterComparison(preCutter1, preCutter... | ardaegeunlu/Library-of-Congress-Classification-Sorter | sort_comparison.py | sort_comparison.py | py | 4,939 | python | en | code | 1 | github-code | 36 |
74202841385 | import pyaudio
import numpy as np
FORMAT = pyaudio.paInt16
CHANNELS = 1
RATE = 16000
CHUNK_SIZE = 1000
MAX_INT16 = np.iinfo(np.int16).max
p = pyaudio.PyAudio()
stream = p.open(format=FORMAT,
channels=CHANNELS,
rate=RATE,
output=True)
for i in range(0, 18):
print(i)... | gmamaladze/tf-voice-pi | tfvoicepi/tools/play.py | play.py | py | 663 | python | en | code | 1 | github-code | 36 |
32527125731 | #!/usr/bin/env python
# coding: utf-8
# In[2]:
# input_data
import numpy as np
import pandas as pd
import pickle as pkl
def load_dc_data(dataset):
dc_adj1 = pd.read_csv('C:/YimingXu/Micromobility_DL/data/adjacency_selected.csv')
adj1 = np.mat(dc_adj1)
dc_adj2 = pd.read_csv('C:/YimingXu/Micromobility_D... | xuyimingxym/MicroMobility-DL | Multi-GCN_GRU.py | Multi-GCN_GRU.py | py | 13,757 | python | en | code | 0 | github-code | 36 |
30143632560 | from itertools import product
# from PyMiniSolvers import minisolvers
import os
def req1(n: int, N: int, disjunctions_list):
i_range = range(n, N + n)
for i in i_range:
clauses = [(f"t_{i}_0_0_" ), (f"t_{i}_0_1_" ),
(f"t_{i}_1_0_" ), (f"-t_{i}_1_1_" )]
disjunctions_list.exten... | PeterLarochkin/discrete_structures | HM2/final.py | final.py | py | 8,046 | python | en | code | 2 | github-code | 36 |
20763051017 | import os
import json
import time
from datetime import datetime
# Importing shared dependencies
from task_management import task_list
from ai_agent_management import ai_agents
sync_status = {}
def autoSync():
while True:
time.sleep(60) # Sync every minute
sync_status['last_sync'] = datetime.now(... | shadowaxe99/c | TaskMaster/src/auto_sync.py | auto_sync.py | py | 668 | python | en | code | 0 | github-code | 36 |
3598532170 | import unittest
import sys
import numpy as np
sys.path.append('.')
import ladi.preprocess as pp
np.random.seed(1)
class Test_preprocess(unittest.TestCase):
def test_round_to_zero(self):
T = 0.2
arr = np.random.normal(0., 1., size=(64,64))
rounded_arr = pp.round_to_zero(arr, T)
sum1... | asenogles/ladi | tests/test_preprocess.py | test_preprocess.py | py | 479 | python | en | code | 0 | github-code | 36 |
29197653617 | import re
import json
import torch
import logging
from tokenizers import ByteLevelBPETokenizer
from os.path import exists, join, abspath
from . import Target, Entity
from models.pre_abstract.model import LSTMTagger
class PreAbstractParser(Target):
def __init__(self, model_dir, device="cpu"):
super().__ini... | kherud/native-language-identification | pipeline/pipes/pre_abstract.py | pre_abstract.py | py | 5,835 | python | en | code | 1 | github-code | 36 |
29314289325 | from django.shortcuts import render, redirect
from django.contrib import messages
from .models import *
import bcrypt
# Create your views here.
def main(request):
if 'logged_in' in request.session:
# messages.success(request,"Welcome to Tom's Library!"),
return render(request, 'main/index.html',{... | tomnguyen103/Coding_Dojo | python_stack/django/Project1/apps/main/views.py | views.py | py | 8,660 | python | en | code | 0 | github-code | 36 |
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