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
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|---|---|---|---|---|---|---|---|---|---|---|---|---|
37067746847 | import numpy as np
import matplotlib.pyplot as plt
from CGinv import C_Ginv
from CGMRES import C_GMRES
import time
###########################
## simulation parameters ##
###########################
##################################
## common simulation parameters ##
##################################
state_d... | master-sato/C_Ginv | Compare_CGinv_CGMRES_Two-linkArm/Compare_CGinv_CGMRES_Two-linkArm.py | Compare_CGinv_CGMRES_Two-linkArm.py | py | 16,617 | python | en | code | 0 | github-code | 54 |
479996985 | ''
'''Remote procedure call (RPC)
To illustrate how an RPC service could be used we're going to create a simple client class. It's going to expose a
method named call which sends an RPC request and blocks until the answer is received:'''
'''远程过程调用（RPC）
为了说明如何使用RPC服务，我们将创建一个简单的客户端类。 它将公开一个名为call的方法，它发送一个RPC请求并阻塞，直到收到... | Teddy512/Teddy | pythonbase/daydemo/day11/queueRPC.py | queueRPC.py | py | 3,486 | python | en | code | 0 | github-code | 54 |
6678883968 | from sqlalchemy import create_engine
from datetime import datetime
import config
from TablesClasses import Base, Product, ProductAvailability, WeightProduct, PieceProduct, Customer, Shop, Sale
from tabulate import tabulate
engine = create_engine(f"mysql+pymysql://{config.user}:{config.password}@localhost/{config.dbNam... | Mort3gar/ExamProject_v1 | main.py | main.py | py | 6,206 | python | en | code | 0 | github-code | 54 |
40308048153 | r=''
n=int(input())
val = list(map(int,input().split(',')))
i=0
m=[]
while(i<len(val)):
while(val[i]>0):
r=str(val[i]%6)+r
val[i]//=6
m.append(r)
i+=1
print(*m)
| hemanthsoma/Coding-Practice | Base6Rep.py | Base6Rep.py | py | 189 | python | fa | code | 2 | github-code | 54 |
9138700668 | r"""
Perform various m4db project related actions.
"""
import typer
from typer import Option
from typer import Argument
import pandas as pd
from tabulate import tabulate
from m4db.orm.schema import Project
from m4db.sessions import get_session
from m4db.db.project.create import create_project
app = typer.Typer()... | Lesleis-Nagy/m4db | lib/m4db/scripts/m4db_project/cmd_line_tool.py | cmd_line_tool.py | py | 1,964 | python | en | code | 0 | github-code | 54 |
39093575092 | import requests
import json
from time import sleep
base_url = "https://playground.learnqa.ru/ajax/api/longtime_job"
job_is_ok = 'Job is ready'
job_is_not_ready = 'Job is NOT ready'
response1 = requests.request('GET', base_url)
answer_dict1 = json.loads(response1.text)
payload = {'token': answer_dict1['token']}
respon... | PavelMorozov75/LearnQA_Python_API | longtime_job.py | longtime_job.py | py | 856 | python | en | code | 0 | github-code | 54 |
12987837942 | s = lambda x: "" if x == 1 else "s"
count = 1
print("{0} file{1} processed".format(count, s(count)))
elements = [(2, 12, "Mg"), (1, 11, "Na"), (1, 3, "Li"), (2, 4, "Be")]
def ignore0(e):
return e[1], e[2]
elements.sort(key = lambda e: (e[1], e[2]))
print(elements)
# =============================================... | Frederick-Hsu/Python3_Programming | Functions/Lambda_Functions.py | Lambda_Functions.py | py | 928 | python | en | code | 0 | github-code | 54 |
29210471919 | #mymodule.py
################################################################################################
############ Mapping from Apple dataset to json structure ######################################
################################################################################################
'''
{
"id"... | joaovicentesouto/INE5454 | mongoDB/datasets_to_json.py | datasets_to_json.py | py | 21,318 | python | en | code | 0 | github-code | 54 |
72301498082 | from django.shortcuts import render
from .models import *
from django.http import JsonResponse
import json
# Create your views here.
def store(request):
if request.user.is_authenticated:
customer = request.user.customer
order, created = Order.objects.get_or_create(customer=customer, complete=False)... | asherthisside/1130UI-DjangoBatch | python/Django/ecommerce/store/views.py | views.py | py | 2,222 | python | en | code | 1 | github-code | 54 |
74765888800 | import time
from board import *
import digitalio
import usb_hid
import adafruit_ble
from adafruit_ble.advertising import Advertisement
from adafruit_ble.advertising.standard import ProvideServicesAdvertisement
from adafruit_ble.services.standard.hid import HIDService
from adafruit_hid.keyboard import Keyboard... | eos21/nrf52_pykey | code.py | code.py | py | 4,646 | python | en | code | 0 | github-code | 54 |
8300695731 | import os
import requests
import bs4
from bs4 import BeautifulSoup
from triple_agent.constants.paths import (
ALL_EVENTS_FOLDER,
)
SCL1_REPLAYS_URL = r"https://www.spypartyfans.com/calvin_is_cool.php?season=1"
SCL2_REPLAYS_URL = r"https://www.spypartyfans.com/calvin_is_cool.php?season=2"
SCL3_REPLAYS_URL = r"http... | andrewzwicky/TripleAgent | triple_agent/organization/fetch_old_scl_replays.py | fetch_old_scl_replays.py | py | 2,063 | python | en | code | 3 | github-code | 54 |
13046504019 | """All minimum dependencies for quantile-forest."""
import argparse
from collections import defaultdict
CYTHON_MIN_VERSION = "3.0a4"
NUMPY_MIN_VERSION = "1.23"
SCIPY_MIN_VERSION = "1.4"
SKLEARN_MIN_VERSION = "1.0"
# 'build' and 'install' is included to have structured metadata for CI.
# The values are (version_spec,... | zillow/quantile-forest | quantile_forest/_min_dependencies.py | _min_dependencies.py | py | 1,167 | python | en | code | 60 | github-code | 54 |
36857334983 | import os
from os import system
intNum = 4
longNum = 123456789765434567
floatNum = 2.54
stringSingle = 'My dog is a nice one => single quotes'
stringDouble = "My dog is a nice one => single quotes"
stringTriple = '''
My dog is a nice one
'''
stringNum = "56 => still a string"
isTrue = True
isStudent = False
print(f"Int... | JHussle/Python | Data Types/datatypes.py | datatypes.py | py | 612 | python | en | code | 1 | github-code | 54 |
35488601117 | # threading
# multiple threads exist within a single interpreter
# due to GIL, the interpreter only interprets code in one thread at a time, while I/O may run in parallel
import threading
import multiprocessing
from time import sleep
def thread_hello():
"""Running function thread_say_hello in 2 threads."""
ot... | PlumpMath/note-cs61a-sicp | data-processing-parallel-computing.py | data-processing-parallel-computing.py | py | 4,458 | python | en | code | 0 | github-code | 54 |
72537453921 | import sqlite3
print(sqlite3.version)
conn = sqlite3.connect('sqlite3/example.db')
c= conn.cursor()
c.execute('''
create table if not exists stocks(
date text,
trans text,
symbol text,
qty real,
price real)
''')
c.execute('''
insert into stocks(date,trans,symbol,qty,price)
... | koty08/Web_flask-mariadb | sqlite3/01.sqlite_test.py | 01.sqlite_test.py | py | 605 | python | en | code | 0 | github-code | 54 |
31758579931 | import ujson as uj
import os, random, io, joblib, ast
import pandas as pd
from PIL import ImageOps, Image, ImageDraw, ImageChops
from itertools import chain
from ast import literal_eval
banned_cats = [
'squiggle', 'line', 'circle', 'yoga'
]
def render_single(data, resolution=256, magnification=4, invert_color=Fal... | SzaboKrisztian/aai-final-project | utils.py | utils.py | py | 9,574 | python | en | code | 0 | github-code | 54 |
1219343491 | from __future__ import annotations
from enum import unique
from typing import Optional
from dl_api_commons.base_models import TenantDef
from dl_api_connector.form_config.models.api_schema import (
FormActionApiSchema,
FormApiSchema,
FormFieldApiSchema,
)
from dl_api_connector.form_config.models.base impor... | datalens-tech/datalens-backend | lib/dl_connector_bitrix_gds/dl_connector_bitrix_gds/api/connection_form/form_config.py | form_config.py | py | 3,404 | python | en | code | 99 | github-code | 54 |
2509182285 | # This Python 3 environment comes with many helpful analytics libraries installed
# It is defined by the kaggle/python docker image: https://github.com/kaggle/docker-python
# For example, here's several helpful packages to load in
import numpy as np # linear algebra
import pandas as pd # data processing, CSV file I/O... | sajedjalil/Data-Science-Pipeline-Detector | dataset/predicting-red-hat-business-value/Shruti Godbole/feature-selection.py | feature-selection.py | py | 2,943 | python | en | code | 8 | github-code | 54 |
26204945748 | import scipy.io
import numpy as np
import matplotlib.pyplot as plt
path = '../datasets/ex3data1.mat'
mat = scipy.io.loadmat(path)
X_tr = mat['X'] # 5000 * 400
y_tr = mat['y'] # 5000 * 1
m = X_tr.shape[0]
d = X_tr.shape[1]
# print(m,d)
# print(y_tr.shape)
def predict(w):
z = X_tr.dot(w)
return 1./(1 + np.ex... | Tran-Nam/training-ARS | ex3/code/ex3-1.py | ex3-1.py | py | 1,672 | python | en | code | 0 | github-code | 54 |
28533837391 | import heapq
def solution(jobs):
answer = 0
request = -1
now = 0
cnt = 0
controller = []
while cnt != len(jobs):
for job in jobs:
if request < job[0] <= now:
heapq.heappush(controller, (job[1], job[0]))
if controller:
job = heapq.heapp... | bbookng/Programmers | Heap/디스크 컨트롤러.py | 디스크 컨트롤러.py | py | 556 | python | en | code | 1 | github-code | 54 |
25385176312 | myDict = {
"fast" : "in a quick manner",
"neeti" : "A developer",
"marks" : [1,2,4],
"myDict2" : {
"neeti" : "gamer",
"love" : "frienship"
},
1: 2
}
# print(myDict["Fast"])
# print(myDict["Neeti"])
# print(myDict["marks"])
# print(myDict["myDict2"])
# print(myDict... | Neetis1/Python | 01_dictionary.py | 01_dictionary.py | py | 1,139 | python | en | code | 0 | github-code | 54 |
9537477098 | from graph import *
from queue import PriorityQueue
def aStarSearch(graph, inttoroom, roomtoxy, start, end, heur, pathHeur):
q = PriorityQueue()
q.put((heur(inttoroom, roomtoxy, start, end), [start]))
explored = []
while(not q.empty()):
(v, curr) = q.get()
if (curr[0] == end):
... | Tectonius/gates6robots | astar.py | astar.py | py | 669 | python | en | code | 0 | github-code | 54 |
45911458031 | import os
import time
import shutil
import math
import torch
import numpy as np
from torch.optim import SGD, Adam
from tensorboardX import SummaryWriter
import PIL.Image
class Averager():
def __init__(self):
self.n = 0.0
self.v = 0.0
def add(self, v, n=1.0):
self.v = (self.v * self.n... | mudimingquedeyinmoujia/styleLIIF | utils.py | utils.py | py | 5,698 | python | en | code | 0 | github-code | 54 |
22600975137 | """
Wimbledon
Estimate: 30 minutes
Actual: 1 hour 10 minutes
"""
FILENAME = "wimbledon.csv"
INDEX_COUNTRY = 1
INDEX_CHAMPION = 2
def main():
"""Read data file and print corresponding details"""
records = get_records(FILENAME)
champion_count, countries = process_records(records)
display_results(cham... | Sathvika-7276/pythonProject8 | wimbledon.py | wimbledon.py | py | 1,432 | python | en | code | 1 | github-code | 54 |
42651070437 | ''' Модуль сервера '''
from flask import Flask
from flask import request
from controller import Controller
TOTAL_NUM = 20
app = Flask(__name__)
@app.route('/', methods=['GET', 'POST'])
def index():
''' Функция при переходе по корневому пути '''
if request.method == 'GET':
num = request.args.get('nu... | AccumPlus/lab-1 | server.py | server.py | py | 472 | python | en | code | 0 | github-code | 54 |
36862445985 | import numpy as np
import aimgui
import aimplot
from . import Page
class ShadedPlotPage(Page):
def reset(self):
self.a = np.random.rand(10)
self.b = np.random.rand(10)
def draw(self):
aimgui.begin(self.title)
if aimplot.begin_plot("My Plot"):
aimplot.plot_shaded... | aimgui/aimgui | pkg/aimplotdemo/aimplotdemo/page/shaded.py | shaded.py | py | 517 | python | en | code | 5 | github-code | 54 |
42195311738 | import math
i = 10 # start at 1 because any number below cannot contain a sum of digits
def splitNum(n):
digits = []
while n > 0:
digits.insert(0, n % 10) # add ones digit to front of digits
n = n // 10
return digits
nums = []
# Upper limit is this
while i <= 40585:
digits = spli... | benslv/project-euler | 34.py | 34.py | py | 430 | python | en | code | 0 | github-code | 54 |
17976558477 | from utilsa.common import *
from scipy import ndimage
import numpy as np
from torchvision import transforms as T
import torch, os
from torch.utils.data import Dataset, DataLoader
from glob import glob
import math
import SimpleITK as sitk
class Mini_DataSet(Dataset):
def __init__(self, data_path, label_path):
... | justaswell/Soma_Unet | dataset/test_dataset.py | test_dataset.py | py | 9,157 | python | en | code | 0 | github-code | 54 |
9603815122 | from selenium import webdriver
import time
from selenium.webdriver.common.keys import Keys
from bs4 import BeautifulSoup
import requests
import csv
region = '관악구'
browser = webdriver.Chrome('C:/chromedriver.exe')
browser.get('https://map.kakao.com/')
browser.implicitly_wait(30)
search = browser.find_element_by_css_s... | drizzle0171/DataBase_TeamProject | 웹크롤링/웹크롤링 찐최종.py | 웹크롤링 찐최종.py | py | 1,671 | python | en | code | 0 | github-code | 54 |
27369998260 | import matplotlib.pyplot as plt
# In die Liste xs packen wir die ganzzahligen Werte von -10 bis 10
xs = []
for x in range(-10, 11):
xs.append(x)
# In die Liste ys packen wir die Quadratzahlen zu jedem Wert aus der Liste xs
ys = []
for x in xs:
ys.append(x * x)
# In die Liste ys packen wir die Kubikzahlen zu ... | bhb-boy/repo_2 | 33_grafiken_matplitlib_02.py | 33_grafiken_matplitlib_02.py | py | 569 | python | de | code | 0 | github-code | 54 |
42504242102 | import socket
import threading
import json
import sqlite3
bind_ip = '0.0.0.0'
bind_port = 3000
API_HOST = 'http://127.0.0.1:8000/emergency/data'
server = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
server.bind((bind_ip, bind_port))
server.listen(5) # max backlog of connections
headers = {'Accept': 'application/j... | jobbs/hue | hue/tcpsock_svr.py | tcpsock_svr.py | py | 1,295 | python | en | code | 0 | github-code | 54 |
33636791659 | from tkinter import Tk, ttk, Toplevel, TclError
title_style = ('bold', 20)
icon = __file__[:__file__.rfind('\\')] + '\\lock.ico'
class main_window:
def __init__(self):
self.root = Tk()
self.all_variables = {}
def create(self):
self.root.resizable(False, False)
... | opipoy/file-locker | locker_frontend.py | locker_frontend.py | py | 3,465 | python | en | code | 1 | github-code | 54 |
42988393676 | Hell=input(' inset you lang: ')
lang=Hell
def greets(lang):
if lang=='es':
return 'Hola'
elif lang=='fr':
return 'boujour'
else :
return'Hello'
print(greets('en'),"Ali")
print(greets('es'),"Sun")
print(greets('fr'),"Bill")
big = max('Hello World')
print(big) | Asban90/Python | language.py | language.py | py | 288 | python | en | code | 0 | github-code | 54 |
8550524166 | # -*- coding: utf-8 -*-
import json
import os
import re
import sys
import time
import urllib
import execjs
import pandas as pd
import requests
from fake_useragent import UserAgent
import openpyxl
def checkNameValid(name=None):
reg = re.compile(r'[\\/:*?"<>|\r\n]+')
valid_name = reg.findall(name)
if valid_... | garlicsoft/EasyScript | Stock/hsgtcg.py | hsgtcg.py | py | 20,325 | python | zh | code | 0 | github-code | 54 |
72372371362 | def solution(sequence):
# # 3.095602526
# local_max = [[0] * (len(sequence)+1) for _ in range(2)]
# pulse = 1
# for i, s in enumerate(sequence):
# s *= pulse
# local_max[0][i] = max(local_max[0][i-1] + s, s)
# local_max[1][i] = max(local_max[1][i-1] + s * -1, s * -1)
# pu... | daewoonglee/programmers | lev3/연속 펄스 부분 수열의 합.py | 연속 펄스 부분 수열의 합.py | py | 1,575 | python | en | code | 0 | github-code | 54 |
41507693942 | """
Feature: BDD implementation
Scenario: Navigate to iPrice , randomly choose one of the best Deals and claim promo code or voucher
Given User choose one of the beast deals
And navigating to Coupons Page
And User choose a Coupon
When User copy the coupon and sign in with Email
Then User is successful... | amrifaezeh/iprice | iprice_tests/products/bdd_scenarios/test_claim_promo-code.py | test_claim_promo-code.py | py | 4,122 | python | en | code | 0 | github-code | 54 |
34553957865 | # https://www.hackerearth.com/practice/algorithms/searching/linear-search/practice-problems/algorithm/rest-in-peace-21-1/description/
y="The streak lives still in our heart!"
no="The streak is broken!"
for _ in range(int(input())):
n=int(input())
if n%21==0:
print(no)
else:
if '21' in str(n... | codingbird17/cp | linear_search/21_1.py | 21_1.py | py | 380 | python | en | code | 0 | github-code | 54 |
15214011869 | import numpy as np
import matplotlib.pyplot as plt
# [Section 1.] Loading the data
X_train = np.loadtxt("iris_train.data", delimiter=" ") # train data
X_test = np.loadtxt("iris_test.data", delimiter=" ") # test data
y_train = np.loadtxt("iris_train.labels", delimiter=" ") # train labels
y_test = np.loadtxt("iris_te... | neuroady/Lib_ML | ML U 2020/[01] Intro/Asst. 1 [Q4].py | Asst. 1 [Q4].py | py | 2,788 | python | en | code | 0 | github-code | 54 |
28928433490 | from random import *
words = ["calender", "book", "laptop", "pencil"] # 리스트 요소마다 "" 해주기
word = choice(words)
print("answer : " + word)
letters ="" # 사용자로부터 지금까지 받은 알파벳
count = 10
while True:
succeed = True # succeed = True 라고 먼저 가정해 놓고
for w in word:
... | hskyblue22/small-projects_python | Hangman.py | Hangman.py | py | 1,414 | python | ko | code | 0 | github-code | 54 |
72162105121 | import os
import pickle
import yaml
from frodo.modules.preprocess_and_plan.PreProcessor import PreProcessor
from batchgenerators.utilities.file_and_folder_operations import *
class PreProcessorYOLO5T1(PreProcessor):
def __init__(self, preprocess_output_folder, model_config_dir, fed_config_dir, check_hyper_status)... | CaesarYangs/Frodo | frodo/modules/preprocess_and_plan/PreProcessorYOLO5T1.py | PreProcessorYOLO5T1.py | py | 1,065 | python | en | code | 0 | github-code | 54 |
43253789144 | # print("Gondolj egy számra 1 és 100 között, én kitalálom.")
# interval_start = 1
# interval_end = 100
# bigger_or_lower = "a"
# while bigger_or_lower != "E":
# guess = int((interval_start+interval_end) / 2)
# bigger_or_lower = input("A szám amire gondoltál Nagyobb [N] / Kisebb [K] / Egyenlő [E] mint " + str(gu... | Muromec1/python_training | Játék.py | Játék.py | py | 1,204 | python | hu | code | 0 | github-code | 54 |
10928075348 | # Author : Sanjeev Sapre
# A program to find percentage of marks.
try:
marks = int(input( "Enter Marks Obtained: "))
total = int(input( "Enter Total Marks: "))
percent = marks / total * 100
print( f"You got {percent}% marks.")
except (ZeroDivisionError, ValueError):
print("Either y... | Sanjeev-Sapre/Python_Beginners_Course | exception_handling/exception_handling_01_C.py | exception_handling_01_C.py | py | 417 | python | en | code | 0 | github-code | 54 |
70583362403 | import circle
import rectangle
choice=0
ch="y"
while(ch=="y"):
print("MENU")
print("1. Area of a Circle.")
print("2. Circumference of a Circle.")
print("3. Area of a Rectangle.")
print("4. Perimeter of a Rectangle.")
print("5. Quit.")
choice=int(input("Enter your choice: ... | UTSAVS26/Python-Basics-1 | Module_rec_cir.py | Module_rec_cir.py | py | 1,211 | python | en | code | 0 | github-code | 54 |
9279277512 | from ui import ui_constants
from ui.screens import menu, ingame
import pygame
import sys
from agents import SkeletonAgent, backgammon_ssbg
player1 = backgammon_ssbg.BackgammonPlayer()
player2 = SkeletonAgent.BackgammonPlayer()
DETERMINISTIC = False # deterministic version: dice are loaded to give 1 and 6
# stochasti... | Bouaskaoun/Backgammon-game | main.py | main.py | py | 2,019 | python | en | code | 0 | github-code | 54 |
74418344481 | #!/usr/bin/env python3
# author: jorge.gil
from pyhpeimc.objects import *
from helpers.auth import *
from helpers.alarms import *
from helpers.object import *
import sys, os
from time import sleep
import datetime
# variables
username = ""
password = ""
url = ""
port = ""
#Color Class
class bcolors:
HEADER = '\0... | j0ca/HPE_Scripts | HPE_alarmsPrint.py | HPE_alarmsPrint.py | py | 2,119 | python | en | code | 0 | github-code | 54 |
13625397465 | ## Source kind of everything involving probabilities here:
## https://www.datascience.com/blog/introduction-to-bayesian-inference-learn-data-science-tutorials
## Imports
import numpy as np
import pymc3 as pm
from scipy.stats import beta
import sys
## Auxiliar functions
# Likelihood function
def likelihood(theta, n, x... | davidamorosmegabanner/mega_server | scripts/engine.py | engine.py | py | 2,159 | python | en | code | 0 | github-code | 54 |
36141808429 | # -*-coding:utf8 -*-
import numpy as np
import random
import queue
import matplotlib.pyplot as plt
from quadTree import *
import preprocess
from knn import *
import os
outfilep2tra = r'./data-set/point2trajectory.npy'
outfiletra2p = r'./data-set/trajectory2point.npy'
#生成轨迹
def createTrajectories()->list:
#数据集作为... | Weijun-Lin/IKNN-Experiment | createTrajectories.py | createTrajectories.py | py | 5,310 | python | en | code | 0 | github-code | 54 |
73635218723 | from pyglet import image
from pyglet.sprite import Sprite
from ButtonClass import Button
from pyglet import text
import Global_definitions
class GameOverMenu:
def __init__(self, parent):
self._PlayAgain = Button(0, 0, image.load(Global_definitions.path('Resources/Buttons/restart01.png')),
... | Klin-0k/Snake_Game | GameOverMenuClass.py | GameOverMenuClass.py | py | 4,272 | python | en | code | 0 | github-code | 54 |
27412241889 | ###############################################################################
#### ORIGINAL CYCLEGAN
#### IMPLEMENTATION
###############################################################################
import torch
from Generator import Generator
from Discriminator import Discriminator
import numpy as np
import matpl... | ayberkydn/gan-implementations | cyclegan/main.py | main.py | py | 5,856 | python | en | code | 0 | github-code | 54 |
70926805602 | import collections
class Solution:
def findTheDifference(self, s: str, t: str) -> str:
counter_t = collections.Counter(t)
counter_s = collections.Counter(s)
for key in counter_s.keys():
if counter_t[key] - counter_s[key]: return key
del counter_t[key]
... | hogilkim/leetcode | 389. Find the Difference.py | 389. Find the Difference.py | py | 375 | python | en | code | 0 | github-code | 54 |
4383232717 | import base64
import json
import threading
from . import metrics
from . import constant
from .backlog import Backlog
from .tdigest import TDigestStat, as_bytes
from .utils import time_trunc_minute
class QueryStat(TDigestStat):
def __new__(cls, *, query="", method="", route="", function="",
file... | airbrake/pybrake | src/pybrake/queries.py | queries.py | py | 4,244 | python | en | code | 36 | github-code | 54 |
7705379966 | import logging
from pathlib import Path
from typing import Dict, Tuple, Union
from calvin_agent.datasets.utils.episode_utils import (
get_state_info_dict,
process_actions,
process_depth,
process_language,
process_rgb,
process_state,
)
import numpy as np
from omegaconf import DictConfig
import p... | mees/calvin | calvin_models/calvin_agent/datasets/base_dataset.py | base_dataset.py | py | 10,735 | python | en | code | 184 | github-code | 54 |
72480823200 | # Casting = dilakukan untuk menentukan tipe pada variabel
# Python adalah bahasa berorientasi objek, dan karena itu menggunakan kelas untuk mendefinisikan tipe data
# Casting dengan python dilakukan dengan menggunakan fungsi konstruktor:
# int() - membangun bilangan bulat dari literal bilangan bulat, literal float (de... | irchamali/belajar-python | #2dataTypes/3-casting.py | 3-casting.py | py | 1,010 | python | id | code | 0 | github-code | 54 |
15610539451 | """
989. Add to Array-Form of Integer
Easy
The array-form of an integer num is an array representing its digits in left to right order.
For example, for num = 1321, the array form is [1,3,2,1].
Given num, the array-form of an integer, and an integer k, return the array-form of the integer num + k.
Example 1:
In... | yennanliu/CS_basics | leetcode_python/Array/add-to-array-form-of-integer.py | add-to-array-form-of-integer.py | py | 2,519 | python | en | code | 69 | github-code | 54 |
13294140104 | from datetime import datetime
from src.credentials import credentials
import gspread
from discord.ext import commands, tasks
class SendCog(commands.Cog, name="Send"):
def __init__(self, bot):
self.bot = bot
self.records = []
self.check.start()
self.update.start()
self.gc =... | codeday/discord-maechapman | src/cogs/send.py | send.py | py | 1,537 | python | en | code | 0 | github-code | 54 |
2422055875 | # GA CUSTOMER REVENUE COMPETITION
# Updated kernel (11/11) with v2 files
# Read and preprocess all columns, except hits.
import gc
import os
import numpy as np
import pandas as pd
from pandas.io.json import json_normalize
import json
import time
from ast import literal_eval
def load_df(file_name = 'train_v2.csv', nr... | sajedjalil/Data-Science-Pipeline-Detector | dataset/ga-customer-revenue-prediction/Aguiar/parse-json-v2-without-hits-column.py | parse-json-v2-without-hits-column.py | py | 2,743 | python | en | code | 8 | github-code | 54 |
2838992491 | from django.urls import include, path
from users.views import MyObtainTokenPairView, RegisterView
from rest_framework_simplejwt.views import (
TokenObtainPairView,
TokenRefreshView,
)
urlpatterns = [
path('login/', MyObtainTokenPairView.as_view(), name='token_obtain_pair'),
path('register/', RegisterV... | Tymotheus/Hacknarok2022WaleczneKaszkiety | backend/citizenly/users/urls.py | urls.py | py | 359 | python | en | code | 0 | github-code | 54 |
28182257077 | from sys import stdin
input = stdin.readline
n,m,l = map(int, input().split())
locations = [0]
if n > 0:
locations.extend(list(map(int, input().split())))
locations.sort()
locations.append(l)
def solv():
left = 1
right = l-1
while left <= right:
mid = (left+right)//2
if is_possible(... | alsgh9948/Problem-Solving | baekjoon/1477.py | 1477.py | py | 558 | python | en | code | 0 | github-code | 54 |
10705076976 | #!/usr/bin/env python
#coding=utf-8
import tensorflow as tf
from tensorflow.python.client import device_lib
def get_available_gpus():
"""Returns a list of available GPU devices names.
"""
local_device_protos = device_lib.list_local_devices()
return [x.name for x in local_device_protos if x.device_type... | JohnRabbbit/TF2Fluid | 04_rnnlm_data_parallelism/rnnlm_tensorflow.py | rnnlm_tensorflow.py | py | 3,676 | python | en | code | 31 | github-code | 54 |
17920229947 | from django.contrib import admin
from django.urls import path, include
#Общий URL для все приложений проекта Blog
urlpatterns = [
path('admin/', admin.site.urls),
path('accounts/', include('django.contrib.auth.urls')), #Авторизация пользователей
path('accounts/', include('accounts.urls')), #Считывание все... | hailMeh/Django_BLOG-CRUD | blog/urls.py | urls.py | py | 555 | python | ru | code | 0 | github-code | 54 |
10924632146 | from poker_card import Card
from poker_hand import *
from get_card_deck import getSortedDeck
import random
from get_prob_hand import getPartialDeck
from get_best_hand import getBestHand
import sys
inputList = sys.argv
deck = getSortedDeck()
# print deck
def getProbMonte(incomplete_hand):
counts = [0,0,0,0,0,0,0,0,0]
... | codetogamble/poker_monte | poker_back_algo/fill_excel_prob.py | fill_excel_prob.py | py | 2,176 | python | en | code | 0 | github-code | 54 |
19784260128 | from bs4 import BeautifulSoup as bs4
import urllib.request as request
import re
import os
base_addr = 'https://en.wikibooks.org'
java_filter = '/wiki/Java_Programming'
output_folder = os.path.join(os.path.dirname(__file__), "..", "input")
def write_to_file(link, text, fileid):
text_file = open(os.path.abspath(os.pa... | san-rs/Java-EE-app---Indexing-with-Lucene | WebContent/WEB-INF/crawler/crawl.py | crawl.py | py | 1,216 | python | en | code | 0 | github-code | 54 |
2544112000 | # Created by me
import os
from django.http import HttpResponse
from django.shortcuts import render
def index(request):
return render(request,'index.html')
# return HttpResponse("Hello there...")
def analyzer(request):
# Get text from HTML
get_text = request.POST.get('text','default')
# Create ... | icurious/textutils_django | textutils/views.py | views.py | py | 2,674 | python | en | code | 0 | github-code | 54 |
33986061198 | import os
import pandas as pd
def load_fk_dataset(data_path):
"""Load Facial Keypoints dataset as df, add path to file column"""
train_labels_df = pd.read_csv(os.path.join(data_path, "training_frames_keypoints.csv"))
test_labels_df = pd.read_csv(os.path.join(data_path, "test_frames_keypoints.csv"))
t... | cicheck/find-the-nose | utills/load_data.py | load_data.py | py | 1,039 | python | en | code | 1 | github-code | 54 |
18259568128 | """Fast API based iter8 analytics service.
"""
# core python dependencies
import logging
# external dependencies
from fastapi import FastAPI, Body
import uvicorn
# iter8 dependencies
import iter8_analytics.constants as constants
import iter8_analytics.config as config
# v2 imports
from iter8_analytics.api.v2.types i... | iter8-tools/iter8-analytics | iter8_analytics/fastapi_app.py | fastapi_app.py | py | 4,527 | python | en | code | 16 | github-code | 54 |
32712561460 | # a. The string begins with an 'a'
# b. Each 'a' is followed by nothing or an 'a' or "bb"
# c. Each "bb" is followed by nothing or an 'a'
def Check_AB(str,n=0):
# print("--------------")
# print("str : ", str)
output="true"
if n>=len(str):
output="true"
if n==0:
if str[0]!="a":
... | ashisharora24/learning_tutorials_practice | Data Structures and Algorithms in Python/3_Recursion_3/8_Check_AB.py | 8_Check_AB.py | py | 769 | python | en | code | 0 | github-code | 54 |
6805822447 | import networkx as nx
import pandas as pd
# -------------------------------------------------------------------------------------------
# read files
user_fields = ['id']
fake_user_df = pd.read_csv(r'C:\Users\Sara\Desktop\twitterProject\data\cresci-2015\FSF\users.csv', usecols=user_fields)
fake_follower_df =... | S-Asghari/Complex-Network-Analysis-of-Twitter-Accounts | FollowerFriendGraph.py | FollowerFriendGraph.py | py | 2,302 | python | en | code | 3 | github-code | 54 |
9143193102 | from __future__ import annotations
from typing import TYPE_CHECKING, Optional, Dict
from dataclasses import dataclass
import subprocess
import shutil
import shlex
import os
from .action import Action
from . import builtin
if TYPE_CHECKING:
import transilience.system
@builtin.action(name="systemd")
@dataclass
cla... | spanezz/transilience | transilience/actions/systemd.py | systemd.py | py | 6,314 | python | en | code | 24 | github-code | 54 |
36936020178 | with open('input.txt') as f:
data = [(idx[0], idx[2]) for idx in f]
# choice (Loss, Draw, Win, Score)
rps = {
'R':('P','R','S', 1),
'P':('S','P','R', 2),
'S':('R','S','P', 3),
}
conversion = {
'A':'R', 'X':'R',
'B':'P', 'Y':'P',
'C':'S', 'Z':'S',
}
win_draw_loss = ['Z', 'Y', 'X']
# Part 1
score = 0
for ... | samheadleand/advent-of-code-2022 | 02/main.py | main.py | py | 627 | python | en | code | 0 | github-code | 54 |
43410583864 | from django.contrib.auth import get_user_model
from django.db.models import Prefetch, Q, Avg
from django.urls import reverse_lazy
from django.http import JsonResponse
from django.shortcuts import render, redirect
from django.views.generic import TemplateView, View, DetailView
from coreaccounts.forms import UserLoginFor... | psgpyc/kitabalaya | core/views.py | views.py | py | 7,889 | python | en | code | 2 | github-code | 54 |
3972639188 | import json
from pyexpat.errors import messages
from django.shortcuts import get_object_or_404, redirect, render
from django.urls import reverse
from student_management_app import serializers
from student_management_app.models import *
from django.views.decorators.csrf import csrf_exempt
from django.http import HttpRes... | Sanathnavada/RNSPORTAL | student_management_app/StaffViews.py | StaffViews.py | py | 12,440 | python | en | code | 0 | github-code | 54 |
11182637993 | import os
import platform
import sys, getopt
import time
from selenium import webdriver
from pathlib import Path
def ultima_modifica(path_file):
# funziona solo in windows
return os.path.getmtime(path_file)
def main(argv):
print('script in esecuzione!')
print('per terminare CTRL + C')
... | giuseppe17ita/asciidoc-auto-reload | asciidocreload.py | asciidocreload.py | py | 2,088 | python | it | code | 0 | github-code | 54 |
31803613219 | import pandas as pd
import pickle
from sklearn.preprocessing import StandardScaler
# Como no disponemos de nuevos datos para este ejemplo vamos a usar los mismos datos
# que usamos para entrenar el modelo.
# También se asume que los datos vienen en el mismo formato que los datos originales,
# Por lo que habrá ... | PabloMoran23/Regression-and-time-series | Regression/model_production.py | model_production.py | py | 3,577 | python | es | code | 0 | github-code | 54 |
28129347537 | import numpy as np
import control as ctl
import plotly.graph_objects as go
from plotly.subplots import make_subplots
from .utils import get_T, nichols_grid
color_list = ["#1f77b4", "#ff7f0e", "#2ca02c", "#d62728", "#9467bd", "#EF553B", "brown"]
# Utility Function
def default_layout(xlabel,ylabel,name):
la... | nils-van-zuijlen/ENIB_S6_ASN | ENIB_control/plot.py | plot.py | py | 5,313 | python | en | code | 0 | github-code | 54 |
32906599230 | from rgbhistogram import RGBHistogram
from sklearn.ensemble import IsolationForest
from sklearn.neighbors import LocalOutlierFactor
import argparse
import pickle
import cv2
if __name__ == '__main__':
ap = argparse.ArgumentParser()
ap.add_argument("--dataset", required=False, default='./intro-anomaly-detection... | youngsoul/pyimagesearch-intro-anomoly-detection | train_forest_anomaly_detector.py | train_forest_anomaly_detector.py | py | 1,098 | python | en | code | 0 | github-code | 54 |
27025885321 | from django.contrib.auth import authenticate, login, logout
from django.db import IntegrityError
from django.http import HttpResponseRedirect
from django.shortcuts import render
from django.urls import reverse
from django.contrib.auth.decorators import login_required
from .models import User, Listing, Watchlist, Bid, ... | medaminefh/cs50W-commerce | auctions/views.py | views.py | py | 7,905 | python | en | code | 1 | github-code | 54 |
40192617625 | #1
def number_of_food_groups():
return 5
print(number_of_food_groups())
# Output 5
#2
def number_of_military_branches():
return 5
print(number_of_days_in_a_week_silicon_or_triangle_sides() + number_of_military_branches())
# trasbak error
#3
def number_of_books_on_hold():
return 5
return 10
print(numbe... | Itserge1/Coding_Dojo_Python | pratice_assigment/functions_basic_i/functions_basic_i.py | functions_basic_i.py | py | 2,357 | python | en | code | 0 | github-code | 54 |
44821104130 | # 3-Задайте список из вещественных чисел.
# Напишите программу, которая найдёт разницу между максимальным и
# минимальным значением дробной части элементов.
# Пример:
# [1.1, 1.2, 3.1, 5.17, 10.02] => 0.18 или 18
# [4.07, 5.1, 8.2444, 6.9814] - 0.9114 или 9114
def diff_max_min(list_number:list):
'''Разница межд... | Vivlgud/PyHWork3 | Task3.py | Task3.py | py | 1,067 | python | ru | code | 0 | github-code | 54 |
7856353522 | import torch
import torch.distributed as dist
from torch.optim.optimizer import Optimizer, required
from comm_helpers import communicate, flatten_tensors, unflatten_tensors
import threading
class SGD(Optimizer):
r"""Implements stochastic gradient descent (optionally with momentum).
Nesterov momentum is based... | jhcknzzm/SSFL-Benchmarking-Semi-supervised-Federated-Learning | LocalSGD.py | LocalSGD.py | py | 10,097 | python | en | code | 51 | github-code | 54 |
2991504663 | ### Selection sort
import random
def selection_sort(array): #O(n^2) time, O(1) space
n = len(array)
for i in range(n):
minimum = 10000000
pos = -1
for j in range(i,n):
if minimum > array[j]:
minimum = array[j]
pos = j
if pos != -1: #swap
temp = array[i]
array[i] = minimum
array[pos] = tem... | n5596/Cracking-the-Coding-Interview | Chapter 10: Sorting and Searching/selection_sort.py | selection_sort.py | py | 556 | python | en | code | 0 | github-code | 54 |
38032485632 |
import scrapy
import camelot
import tempfile
import logging
logging.getLogger("pdfminer").setLevel(logging.WARNING)
logging.getLogger("camelot").setLevel(logging.WARNING)
class ILRBSpider(scrapy.Spider):
name = 'ilrbspider'
start_urls = ['https://www2.illinois.gov/ilrb/decisions/bargainingcertifications/Pag... | labordata/state-labor-boards | ilrb.py | ilrb.py | py | 1,580 | python | en | code | 0 | github-code | 54 |
29763336865 | from sqlalchemy.engine import Engine
from config import EtlDbConfig
from util.sql_helpers import read_table
table_columns = [
'ID_MOTIVO',
'DESCRIPCION_MOTIVO',
]
def transform_motivos(db_con: Engine, etl_process_id: int) -> None:
# Read from extract table
motivos_ext = read_table(
table_name... | jorgeandrespadilla/ProyectoFinal-UDLAICBS0003 | etl/transform/tra_motivos.py | tra_motivos.py | py | 723 | python | en | code | 0 | github-code | 54 |
9843617986 | from selenium import webdriver
from selenium.webdriver.chrome.service import Service
from webdriver_manager.chrome import ChromeDriverManager
from selenium.webdriver.common.by import By
import pandas as pd
# Makes sure Chrome webdriver is downloaded, up to date, and in right path and open.
driver = webdriver.Chrome(se... | alewilliam789/data-projects | Smoking Rate V Life Expectancy/Python Scripts/grab_life_expectancy.py | grab_life_expectancy.py | py | 1,539 | python | en | code | 0 | github-code | 54 |
15515426432 | """
Fully-connected residual network as a single deep learner.
"""
import torch.nn as nn
import torch
class ResidualBlock(nn.Module):
"""
A residual block.
"""
def __init__(self, linear_size, p_dropout=0.5, kaiming=False, leaky=False):
super(ResidualBlock, self).__init__()
self.l_size ... | Nicholasli1995/EvoSkeleton | libs/model/model.py | model.py | py | 5,272 | python | en | code | 319 | github-code | 54 |
2517174275 |
import gensim, time
import pandas as pd
import numpy as np
fd = pd.read_csv(r'../input/train.csv', encoding="Latin-1")
fd.replace(to_replace=[np.inf, -np.inf], value=np.nan, inplace=True)
indices_with_nan_or_inf = pd.isnull(fd).any(1).nonzero()[0]
if indices_with_nan_or_inf.any():
print('call the ambul... | sajedjalil/Data-Science-Pipeline-Detector | dataset/quora-question-pairs/KardoPaska/fast-gensim-word2vec-w-googlenews.py | fast-gensim-word2vec-w-googlenews.py | py | 2,647 | python | en | code | 8 | github-code | 54 |
73532142881 | import allure
import pytest
from back_tests.checker import PetstoreChecker
from back_tests.client import PetstoreClient
from back_tests.consts import PET_ONLY_ID, PET_FULL
create_params = [
{'pet': PET_ONLY_ID, 'type': 'only id'},
{'pet': PET_FULL, 'type': 'full data'}
]
@pytest.fixture(params=create_params... | bladeray/InsTestTask | back_tests/tests/conftest.py | conftest.py | py | 1,077 | python | en | code | 0 | github-code | 54 |
29132733613 | def bubble_sort(array):
n = len(array)
for i in range(n):
already_sorted = True
for j in range(n - i - 1):
if array[j] > array[j + 1]:
array[j], array[j + 1] = array[j + 1], array[j]
already_sorted = False
#if already_sorted:
# break... | wkusmirek/pytest-benchmark | src/sort.py | sort.py | py | 1,441 | python | en | code | 0 | github-code | 54 |
33822530725 | ###Titulo: Palindromo
###Função: Este programa identifica se determinado número é um palíndromo
###Autor: Valmor Mantelli Jr.
###Data: 27/12/2018
###Versão: 0.0.2
### Declaração de variáve
p = 0
u = 0
n = 0
### Atribuição de valor
n = input ("Digite o número que deseja verificar: ")
### Processamento
u = len(... | profnssorg/valmorMantelli1 | exer527.py | exer527.py | py | 499 | python | pt | code | 0 | github-code | 54 |
39095974500 | from pygame import *
import random
import snake
from food import *
WIN_WIDTH = 1250 # wigth of window
WIN_HEIGHT = 650 # height of window
SIZE_OF_CELL = 50
COLOUR_OF_FIELD = (200, 240, 200)
DEFEAT = False
FPS = 8
FIELD = []
init()
mainSurface = display.set_mode((WIN_WIDTH, WIN_HEIGHT)) # main window
clock = time.C... | koala911/Python-review-project-1 | game.py | game.py | py | 15,038 | python | en | code | 0 | github-code | 54 |
16018733565 | from sklearn.ensemble import RandomForestClassifier
from sklearn.cross_validation import train_test_split
import pandas as pd
import os
class pre:
def __init__(self):
#初始化读取操作
self.PATH = os.path.dirname(__file__) +"\\"
self.df = pd.read_csv(self.PATH + 'iris data', names=["sep... | nbPeterWang/flower_analysis | pre.py | pre.py | py | 854 | python | en | code | 0 | github-code | 54 |
70182155361 | from city_scrapers_core.constants import NOT_CLASSIFIED
from city_scrapers_core.items import Meeting
from city_scrapers_core.spiders import CityScrapersSpider
from dateutil.parser import parser
class FreKingsBosSpider(CityScrapersSpider):
name = "fre_kings_bos"
agency = "Kings County Board of Supervisors"
... | City-Bureau/city-scrapers-fresno | city_scrapers/spiders/fre_kings_bos.py | fre_kings_bos.py | py | 3,615 | python | en | code | 2 | github-code | 54 |
32969004477 | import copy
import numpy as np
import matplotlib.pyplot as plt
import numpy.linalg as LA
def f(x, mu):
x1 = x[0]
x2 = x[1]
return (x1+x2)**2 - 10*(x1+x2)+ mu/2 *((3*x1+x2-6)**2)+ mu/2 *(max(x1**2 + x2**2 -5, 0)**2) + mu/2* (max(-1*x1, 0)**2)
def gradf(x, mu):
x1 = x[0]
x2 = x[1]
ineq1_x1 = ... | amitsr4/opt4 | 2d.py | 2d.py | py | 1,969 | python | en | code | 0 | github-code | 54 |
38401690952 | import tkinter
win = tkinter.Tk()
win.title("GUI")
win.geometry("400x400+600+20")
def func():
message = ""
if result1.get():
message += "小红\n"
if result2.get():
message += "小军\n"
if result3.get():
message += "小黑\n"
text.delete(0.0, tkinter.END)
text.insert(tkinter.INS... | huangshaoqi/programming_python | XDL/python/Part_1/Day15/5.py | 5.py | py | 1,006 | python | en | code | 1 | github-code | 54 |
72187188963 | import cv2
import numpy as np
import os
from tracking_single.base import BaseCF
from tracking_multiple.mot_tracking.kcf_mot.base_tracking import Base_Tracking
from tracking_multiple.mot_helpers import utils
class ParticleTracker(Base_Tracking):
def __init__(self):
self.max_patch_size = 256
super(Pa... | ElnuraMusaoglu/MultiPedestrianTracking | mot_tracking/kcf_mot/trackers/particle_filter_tracker.py | particle_filter_tracker.py | py | 6,115 | python | en | code | 0 | github-code | 54 |
39384614190 | # Typecast GUI
# Use threading for audio output
# Simple input boxes will suffice (tkinter)
from tkinter import *
import PIL
from PIL import ImageTk, Image
import client
from threading import *
class TypeCastApp():
# class var
count = 0
lock = Lock()
# constructor, init, root is the GUI
def __init__(self):
s... | wncjs96/TTS-API-manual-requests | src/gui.py | gui.py | py | 3,456 | python | en | code | 0 | github-code | 54 |
28182590637 | from sys import stdin
import heapq
input = stdin.readline
n,m,k,x = map(int, input().split())
adj_list = [[] for _ in range(n+1)]
for _ in range(m):
a,b = map(int, input().split())
adj_list[a].append(b)
def solv():
pq = []
visited = [False]*(n+1)
ans = []
heapq.heappush(pq,(0,x))
visit... | alsgh9948/Problem-Solving | baekjoon/18352.py | 18352.py | py | 711 | python | en | code | 0 | github-code | 54 |
22672698676 | import torch
import torch.nn.functional
from tqdm import tqdm
import numpy as np
from numpy.random import default_rng
import torch.utils.data
import time
def train(model_generator, model_discriminator, Goptimizer, Doptimizer, train_loader, epochs, cost_function,latent_size):
#currently no validation loader (para... | puschb/gan-emnist-rep | gan-emnist-python-files/training.py | training.py | py | 2,549 | python | en | code | 0 | github-code | 54 |
10184080530 | # -*- coding: utf-8 -*-
# @Time : 2018/9/8 上午11:24
# @Author : jaelyn
# @FileName: 657.py
# @Software: PyCharm
class Solution:
def judgeCircle(self, moves):
"""
:type moves: str
:rtype: bool
"""
return moves.count("U") == moves.count("D") and moves.count("L") == moves.co... | Jaelyn-Lim/leetcode | 2018-9/657.py | 657.py | py | 482 | python | en | code | 1 | github-code | 54 |
41845598292 | import numpy as np
import re
from io import StringIO
import matplotlib.pyplot as plt
import os
import pandas as pd
from tqdm import tqdm
import argparse
from utilities import PlotPatternSpectrum
plt.rcParams.update({'font.size': 16})
######################################## argparse setup ############################... | jaschers/psnet | main/pattern_spectra/python/create_pattern_spectra.py | create_pattern_spectra.py | py | 13,823 | python | en | code | 0 | github-code | 54 |
2581648195 | import pandas as pd
df_cities = pd.read_csv('../input/cities.csv')
df_submit = pd.read_csv('../input/sample_submission.csv')
xy = df_cities[['X', 'Y']].values
li = df_submit['Path'].values.tolist()
def primes(N):
f = [True] * (N+1)
f[0] = False
f[1] = False
for p in range(2, int(N**0.5)+1):
... | sajedjalil/Data-Science-Pipeline-Detector | dataset/traveling-santa-2018-prime-paths/kambarakun/scoring-script.py | scoring-script.py | py | 762 | python | en | code | 8 | github-code | 54 |
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