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
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16539700477 | import os
import subprocess
import sphinx_autobuild.build
from sphinx_autobuild.build import show
def get_builder(watcher, sphinx_args, *, host, port, pre_build_commands):
"""Prepare the function that calls sphinx."""
def build():
"""Generate the documentation using ``sphinx``."""
if not wat... | Nuitka/Nuitka-website | misc/sphinx_autobuild_wrapper.py | sphinx_autobuild_wrapper.py | py | 1,176 | python | en | code | 10 | github-code | 6 |
7261153491 | import cv2
import numpy as np
img = cv2.imread('bookpage.jpg')
grayscaled = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
#retval, threshold = cv2.threshold(grayscaled, 11, 255 , cv2.THRESH_BINARY)
threshold = cv2.adaptiveThreshold(grayscaled, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, 115, 1)
median = cv2.med... | felipemateus/vis-oCompEstudo | threshHoldExemple2/threshHold.py | threshHold.py | py | 541 | python | en | code | 0 | github-code | 6 |
8398660267 | import logging
import numpy as np
import tensorflow as tf
import tensorflow.keras as keras
from tensorflow.keras import backend as K
from tensorflow.keras import Sequential
from tensorflow.keras.layers import Conv2D, Flatten, Dense
from openfl.models.tensorflow import KerasFLModel
class KerasCNN(KerasFLModel):
"""... | sarthakpati/OpenFederatedLearning | openfl/models/tensorflow/keras_cnn/keras_cnn.py | keras_cnn.py | py | 2,530 | python | en | code | 1 | github-code | 6 |
12571576568 | import requests
import pandas
from bs4 import BeautifulSoup
import json
url = 'https://www.imdb.com/chart/top/'
response = requests.get(url).content
soup = BeautifulSoup(response,'html.parser')
title = soup.find_all('td', class_='titleColumn')
rating = soup.find_all('strong')
images = soup.find_all('img')
movie_... | gpuligundla/IMDB-Top-Movies-List | imdb_scrap.py | imdb_scrap.py | py | 979 | python | en | code | 0 | github-code | 6 |
28176425279 | import sqlite3
import json
from datetime import datetime
from traceback import print_tb
from helpers import create_table_if_not_exists, get_db_path, get_timeframe_path, format_data, \
acceptable, get_timeframes
timeframes = get_timeframes()
sql_transaction = []
start_row = 0
# start_row = 8400000 # that is where... | DuncteBot/chatbot | data_parser.py | data_parser.py | py | 5,643 | python | en | code | 1 | github-code | 6 |
39697194939 | # -*- coding: utf-8 -*-
import scrapy
from LaGou.items import LagouItem
import LaGou.settings as settings
class LagouSpider(scrapy.Spider):
name = 'lagou'
allowed_domains = ['https://www.lagou.com']
start_urls = ['http://https://www.lagou.com/']
def parse(self, response):
if response.status==... | siqyka/Reptile | works/LaGou/LaGou/spiders/lagou.py | lagou.py | py | 1,369 | python | en | code | 1 | github-code | 6 |
36818410851 | import curses
import curses.ascii
from curses.textpad import Textbox
class MyTextPad(Textbox):
ignored_keys = {
curses.KEY_PPAGE, # Page Up
curses.KEY_NPAGE, # Page Down
}
def __init__(self, win, default):
super().__init__(win)
self.default = default
self.line =... | AzaubaevViktor/tagging | console/my_textpad.py | my_textpad.py | py | 2,571 | python | en | code | 0 | github-code | 6 |
37482811265 | # coding: utf-8
import json
import os
import click
import gql
import graphql
import requests
from gql.transport.requests import RequestsHTTPTransport
try:
# python2
from urlparse import urlparse
except ImportError:
# python3
from urllib.parse import urlparse
class SchemaSourceType(click.ParamType... | wapiflapi/gqldiff | gqldiff/clickgql.py | clickgql.py | py | 2,223 | python | en | code | 1 | github-code | 6 |
6209107982 | a = []
sum = 0
for i in range(9):
a.append(int(input()))
sum += a[i]
a = sorted(a)
i = 0
while i < 9:
sum -= a[i]
j = 0
while j < 9:
if i != j and sum - a[j] == 100:
break
j += 1
if j < 9:
break
sum += a[i]
i += 1
for k in range(9):
if k != ... | jshyun912/BOJ | 1000 ~ 5000/2309_일곱 난쟁이.py | 2309_일곱 난쟁이.py | py | 353 | python | en | code | 0 | github-code | 6 |
12992306131 | '''
Arbitrary parameters that matter a surprising amount for making photometry
reasonably good.
'''
__all__ = ['thresh', 'fwhm', 'radius', 'annuli_r']
# Thresholds for source identification after bias & flat fielding.
# These must be low enough to catch good comparison stars. Too high, and
# astrometry gets confused.... | lgbouma/tr56reduc | src/define_arbitrary_parameters.py | define_arbitrary_parameters.py | py | 735 | python | en | code | 1 | github-code | 6 |
31626864136 | #!/usr/bin/env python3
DEBUG = False
def debug_print(s):
print(s)
def check(s):
"""Returns two booleans, the first is whether there are character twins. The second is whether there are character triplets."""
t = sorted(s)
t.append("\n")
has_twins = False
has_triplets = False
run_count = 1... | Combatjuan/adventofcode | 2018/day02/day2a.py | day2a.py | py | 1,044 | python | en | code | 0 | github-code | 6 |
39608443773 | import datetime
import os
import re
import urllib.parse
from itertools import groupby
from django import forms as django_forms
from django.conf import settings
from django.core.paginator import Paginator, InvalidPage
from django import urls
from django.forms import fields
from django.http import HttpResponse, HttpRe... | open-oni/open-oni | core/views/browse.py | browse.py | py | 19,948 | python | en | code | 43 | github-code | 6 |
23262527075 | __author__ = 'ravi'
from pprint import pprint
def get_word_count(file_name):
content = {}
for line in open(file_name):
for word in line.rstrip().split(' '):
content[word] = content.get(word, 0) + 1
return content
words = get_word_count('mesg')
pprint(words)
| simula67/advanced-python-course-material | instructor-github/day2/wc.py | wc.py | py | 294 | python | en | code | 0 | github-code | 6 |
72784612027 | # https://www.codewars.com/kata/558d5c71c68d1e86b000010f
from itertools import product as P
from collections import Counter
# precompute
vampires = []
for L in (2,3):
G = [range(0,10) for _ in range(L)]
limit1 = 10**(2*L-1)
limit2 = 10**L**2-1
for a,b in P(P(*G), P(*G)):
p = int(''.join(m... | blzzua/codewars | 7-kyu/vampire_numbers_less_than_1000000.py | vampire_numbers_less_than_1000000.py | py | 1,072 | python | en | code | 0 | github-code | 6 |
15393461958 | # -*- coding:utf-8 -*-
# class ListNode:
# def __init__(self, x):
# self.val = x
# self.next = None
class Solution:
def FindFirstCommonNode(self, pHead1, pHead2):
# write code here
stck1 = []
stck2 = []
h1,h2 = pHead1,pHead2
while h1:
stck1.app... | shakesVan/Playground | Nowcoder/52.py | 52.py | py | 613 | python | en | code | 0 | github-code | 6 |
2534734761 | import unittest
from KPIAlgebras.response_objects import response_objects
from KPIAlgebras.request_objects import request_objects
class TestResponseObjects(unittest.TestCase):
def test_response_sucess_is_true(self):
value = "test"
response_sucess = response_objects.ResponseSuccess(value)
se... | luisfsts/KPIAlgebras | tests/response_objects/test_response_objects.py | test_response_objects.py | py | 2,483 | python | en | code | 0 | github-code | 6 |
40610907305 | # Import libraries
import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
import missingno as msno
from _datetime import date
from sklearn.metrics import accuracy_score
from sklearn.model_selection import train_test_split
from sklearn.neighbors import LocalOutlierFactor
f... | afatsumcemreg/feature_engineering | 05_feature_scaling.py | 05_feature_scaling.py | py | 2,572 | python | en | code | 2 | github-code | 6 |
972412310 | ###Episode 1
import numpy as np
import torch
#Training data
# Input (temp, rainfall, humidity)
inputs = np.array([[73,67,43], [91,88,64], [87, 134, 58], [108, 43, 37], [69, 96,70]], dtype='float32')
# targets (apples, oranges)
targets = np.array([[56, 70], [81,101], [119, 133], [22,37], [103, 119]], dtype = 'float... | NancyGirdhar/PyTorch_Basics | PyTorchSeries_E1.py | PyTorchSeries_E1.py | py | 6,595 | python | en | code | 0 | github-code | 6 |
36310398862 | import pygame
import colors
import config
class Field(pygame.sprite.Sprite):
def __init__(self, x, y, color=None, img_path=None):
super().__init__()
self.x = x
self.y = y
self.color = color
# sprite image
if img_path:
img = pygame.image.load(img_path)... | tobnie/human_planning_horizon | game/world/field.py | field.py | py | 1,046 | python | en | code | 0 | github-code | 6 |
1370868487 | """Quizzes user on terms and definitions."""
import csv
import random
from collections import namedtuple
RTN = lambda: '\n'
def open_csv_populate_dct():
"""Import a csv and populate a dictionary with its contents."""
dct = {}
with open('csvs/terms_and_definitions.csv') as f:
F_CSV = csv.reader(f... | craighillelson/terms_and_definitions | terms_and_definitions.py | terms_and_definitions.py | py | 1,717 | python | en | code | 0 | github-code | 6 |
22610452246 | from django.contrib import admin
from django.contrib.auth.admin import UserAdmin
from .models import Hybrid, Specialization, ContactPerson, Subject
class MyUserAdmin(UserAdmin):
model = Hybrid
fieldsets = UserAdmin.fieldsets + (
(None, {'fields': (
'middle_name',
'member',
... | hybrida/hybridjango | apps/registration/admin.py | admin.py | py | 792 | python | en | code | 4 | github-code | 6 |
35914492844 | class Point:
def __init__(self, a=0, b=0):
self.x = a
self.y = b
class Solution:
def numIslands2(self, n: int, m: int, operators: list) -> list:
directions = [(0, -1), (0, 1), (1, 0), (-1, 0)]
matrix = [0] * (n * m)
father = [i for i in range(n * m)]
result = [... | Super262/LintCodeSolutions | data_structures/union_find/problem0434.py | problem0434.py | py | 1,760 | python | en | code | 1 | github-code | 6 |
21867315415 | import phywhisperer.interface.naeusb as NAE
import phywhisperer.interface.program_fpga as LLINT
import os
import re
import logging
import pkg_resources
import threading
import time
from phywhisperer.interface.bootloader_sam3u import Samba
from phywhisperer.sniffer import USBSniffer, USBSimplePrintSink
from phywhisperer... | newaetech/phywhispererusb | software/phywhisperer/usb.py | usb.py | py | 34,049 | python | en | code | 77 | github-code | 6 |
7925957401 | # ITP-100 Software Design
# Student: Jeannotte, Michael
# Instructor: Brown, Georgia
# Date given to class: 9-12-2022
# Date of Submission:
# Description:
# Input:
# Output:
# Additional Comments: V 1.0
studentID = int(input('Enter your 6 digit Student Identification Number:'))
F_name = input('Please Enter your First ... | ProjectInzom/public | PythonClass/Projects/Lab02/StudentRecords.py | StudentRecords.py | py | 550 | python | en | code | 0 | github-code | 6 |
30477628890 | # Count Pairs with given sum (2 Sum Problem) (Count Pairs Problem)
# Count Pairs (returns count)
def getPairsCount(arr, n, k):
map = {}
cnt = 0
for i in range(n):
temp = k - arr[i]
if temp in map:
cnt += map[temp]
if arr[i] in map:
map[arr[i]] += 1
el... | prabhat-gp/GFG | Arrays/Arrays Easy/8a_pairs.py | 8a_pairs.py | py | 1,000 | python | en | code | 0 | github-code | 6 |
14048408200 | from io import StringIO
from pathlib import Path
import streamlit as st
import time
from detect import detect
import os
import sys
import argparse
from PIL import Image
import shutil
import streamlit.components.v1 as components
def get_subdirs(b='.'):
'''
Returns all sub-directories in a spec... | fengxizxf/yolov-bird | main.py | main.py | py | 9,736 | python | en | code | 3 | github-code | 6 |
1218087321 | import os
from collections import namedtuple
#Define a named tuple to represent our files
FileStruct = namedtuple("File", "file_name file_ext file_path dir")
def XMLifyFile(file_struct):
return '\t\t<file alias="' + file_struct.file_name + '">' + file_struct.file_path + "</file>\n"
valid_exts = [".graphml", ".p... | cdit-ma/SEM | medea/src/app/Resources/resourceqrcmaker.py | resourceqrcmaker.py | py | 1,521 | python | en | code | 3 | github-code | 6 |
30578979945 | import os
import json
from datetime import date
from flask import Flask, g, jsonify, request, abort
from flask_cors import CORS #comment this on deployment
from db.jfl_db import Database
app = Flask(__name__)
CORS(app) #comment this on deployment
def get_db():
'''
Returns the document indexi... | zrahn93/jfl | jfl_services/run.py | run.py | py | 11,376 | python | en | code | 0 | github-code | 6 |
83273089 | import pandas as pd
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.model_selection import train_test_split
from sklearn.naive_bayes import MultinomialNB
from sklearn.metrics import accuracy_score, precision_score, recall_score, f1_score
def read_file():
# 读取数据
df = pd.read_table("/you... | goelo/machine_learning | naive_bayes/smsspammessage.py | smsspammessage.py | py | 2,190 | python | en | code | 4 | github-code | 6 |
11902565567 | #!/usr/bin/env python3
from pprint import pprint
import subprocess
import pyone
import config
# -----------------------
# Connect to OpenNebula
# -----------------------
one = pyone.OneServer(config.ONE['address'], session='%s:%s' % (config.ONE['username'], config.ONE['password']))
# prepare hosts to ips mapping
hos... | OpenNebula/addon-3par | scripts/helpers/update-cpu-shares.py | update-cpu-shares.py | py | 1,335 | python | en | code | 2 | github-code | 6 |
25881621247 | #!/usr/bin/python
f = open("in.txt", "r")
overlapping = 0
for vrstica in f:
a = vrstica.split(",")
prvi, drugi = a[0].split("-"), a[1].split("-")
if (int(prvi[0]) >= int(drugi[0]) and int(prvi[1]) <= int(drugi[1])) or (
int(prvi[0]) <= int(drugi[0]) and int(prvi[1]) >= int(drugi[1])):
... | Anja159/Advent_of_code_2022 | Day4/part1.py | part1.py | py | 364 | python | en | code | 1 | github-code | 6 |
18524942065 | model = dict(
type='AGMIDRPNet',
drper=dict(
type='AGMIDRPer',
in_channel = 3,
gather_width=6,
drug_encoder=dict(
type='DrugGATEncoder',
num_features_xd=78,
heads=10,
output_dim=128,
gat_dropout=0.2
),
... | yivan-WYYGDSG/AGMI | configs/_base_/models/AGMI/agmi_8layers.py | agmi_8layers.py | py | 1,075 | python | en | code | 1 | github-code | 6 |
42607005601 | # -*- coding: utf-8 -*-
# author: inpurer(月小水长)
# pc_type lenovo
# create_date: 2018/12/9
# file_name: client.py
# description: 月小水长，热血未凉
from socket import *
if __name__ == "__main__":
serverName = '127.0.0.1'
serverPort = 13000
clientSocket = socket(AF_INET, SOCK_STR... | inspurer/ComputerNetwork | echo服务/select实现并发/client.py | client.py | py | 729 | python | en | code | 17 | github-code | 6 |
23248318495 | import pygame
#necessary pygame initializing
pygame.init()
#create a surface that will be seen by the user
screen = pygame.display.set_mode((600, 400))
background= pygame.image.load('Background-1.png')
#create a varible for degrees pf rotation
degree = 0
while True:
screen.blit(background, (0,0))
... | Soupupup/pythonsensorgame | rotation test 2.py | rotation test 2.py | py | 1,287 | python | en | code | 0 | github-code | 6 |
31016470858 | # coding=utf-8
import document
import shape
from db import error, Trae_Fila, lee, rg_vacio, gpx, cl, copia_rg, FDC, GS_INS, u_libre, Busca_Prox, Fecha, i_selec, \
Abre_Aplicacion, Abre_Empresa
from db import Int, Num, lista, Num_aFecha, lee_dc
from aa_funciones import Serie, GetColumnasACC_CK, LineaToDc
from shape imp... | JonathanServiaMandome/gsWord | utilities/certificate.py | certificate.py | py | 36,095 | python | es | code | 0 | github-code | 6 |
74348094589 | from collections import namedtuple, defaultdict
from itertools import combinations, product
from math import sqrt
from typing import List
INPUTTEST = 'inputtest.txt'
INPUTREAL = 'input.txt'
def getLines(fileName):
file = open(fileName,'r')
lines = file.read().splitlines()
file.close()
return lines
c... | David-Hatcher/AoC2021 | Day 19/Day19.py | Day19.py | py | 5,987 | python | en | code | 1 | github-code | 6 |
11299411121 | from functools import update_wrapper
import logging
from .action import FunctionAction
from .request import Request
from .traject import Traject
from .config import Configurable
from .settings import SettingSectionContainer
from .converter import ConverterRegistry
from .predicate import PredicateRegistry
from .tween i... | magnus-lycka/morepath | morepath/app.py | app.py | py | 8,665 | python | en | code | null | github-code | 6 |
30666636404 | import sys
import xbmc, xbmcgui
import torrentitem
#enable localization
getLS = sys.modules[ "__main__" ].__language__
__cwd__ = sys.modules[ "__main__" ].__cwd__
# Actions ids
ACTION_PARENT_DIR = 9
ACTION_PREVIOUS_MENU = 10
ACTION_MOVE_LEFT = 1
ACTION_MOVE_RIGHT = 2
ACTION_MOVE_UP = 3
ACTION_MOVE_DOWN = 4
ACTION_N... | vche/script.torrentrss | resources/lib/trackergui.py | trackergui.py | py | 7,816 | python | en | code | 1 | github-code | 6 |
650752867 | import os
import sys
import json
import unittest
import numpy as np
import luigi
import z5py
import cluster_tools.utils.volume_utils as vu
from sklearn.metrics import adjusted_rand_score
from elf.segmentation.mutex_watershed import mutex_watershed
from elf.segmentation.watershed import apply_size_filter
try:
from... | constantinpape/cluster_tools | test/mutex_watershed/test_mws.py | test_mws.py | py | 2,409 | python | en | code | 32 | github-code | 6 |
27009005628 | from scipy.io import loadmat
import numpy as np
import xlrd as x
import pandas as pd
def run(file, delimiter):
file_name = file["file"]
file_type_list = file_name.split(".")
file_type = file_type_list[len(file_type_list) - 1]
if file_type == 'mat':
key = file["key"]
array = read_mat(... | lisunshine1234/mlp-algorithm-python | data/read/read/run.py | run.py | py | 1,021 | python | en | code | 0 | github-code | 6 |
35610337121 | import cv2
import os
cam = cv2.VideoCapture("video.avi")
values = []
def discrimator(frame):
return frame[0][0][1] != 253
# Read each frame. Use discriminator on each frame to output a zero or one.
while True:
ret, f = cam.read()
if not ret:
break
values.append(
discrimator(f)
)
... | sectalks/sectalks | ctf-solutions/LON0x26/bc/vid.py | vid.py | py | 492 | python | en | code | 277 | github-code | 6 |
41087502611 | import matplotlib.pyplot as plt
import pandas as pd
def main():
# Charger les données à partir du fichier CSV
data = pd.read_csv("Parcoursup 2023 - Total.csv", delimiter=";")
# Extraire les colonnes nécessaires
dates = pd.to_datetime(data["Date"], format="%d/%m") # type: ignore
en_attente = data[... | Ahhj93/Indicateur-Parcoursup-2023 | parcoursup_candidats_en_attente.py | parcoursup_candidats_en_attente.py | py | 1,820 | python | fr | code | 2 | github-code | 6 |
36960795245 | from Player import Player
# Asks user to input number of players, and creates as many player objects
def initialisePlayers(players):
noOfPlayers = int(input("How many players are there? "))
print()
try:
if noOfPlayers < 2:
print("That's too few players! Please enter a number betwe... | mhourican01/jack-change-it | PlayerManager.py | PlayerManager.py | py | 1,380 | python | en | code | 0 | github-code | 6 |
34836265477 | from django.contrib.contenttypes.models import ContentType
from django_filters import rest_framework as filters
from music_app.models import Artist, Track, Album
from music_app.apps import MusicAppConfig
_content_types_id = {
'artist': ContentType.objects.get(app_label=MusicAppConfig.name, model='artist').id,
... | vladyslavtsurkan/django_music_application | music_app/api/filters.py | filters.py | py | 1,745 | python | en | code | 0 | github-code | 6 |
40005326365 | import pytest
from xdlang.structures import XDType, ast
from xdlang.visitors.parser import parse_text, transform_parse_tree
def parse_and_transform_expr(program_text: str):
parsed = parse_text(program_text, start="expr")
ast = transform_parse_tree(parse_tree=parsed)
return ast
@pytest.mark.parametrize(... | mbednarski/xdlang | tests/ast/test_ast_literal.py | test_ast_literal.py | py | 742 | python | en | code | 3 | github-code | 6 |
36358232508 | import hide
headers = hide.headers
TOKEN = hide.TOKEN
tell_token = hide.tell_token
chat_id = hide.chat_id
import http.client
import mimetypes
import ssl
import json
import time
from time import localtime, strftime
from datetime import datetime
import requests
import json
# mac has some issue with SLL this fixes it
tr... | tomashege/Olarm_zone_check | check_zone.py | check_zone.py | py | 3,684 | python | en | code | 0 | github-code | 6 |
19243529886 | import shlex
import django_filters
from django.core.exceptions import FieldError
from django.db.models import Q
# The function and Classes in this file are from https://github.com/nexB/scancode.io/blob/main/scanpipe/filters.py
def parse_query_string_to_lookups(query_string, default_lookup_expr, default_field):
... | nexB/purldb | packagedb/filters.py | filters.py | py | 2,388 | python | en | code | 23 | github-code | 6 |
15821882121 | #!/usr/bin/env python
import rospy
from std_msgs.msg import Bool
from audio_common_msgs.msg import AudioData
import os
import argparse
import pyaudio
import wave
import datetime
class AudioCapture:
def __init__(
self,
is_record_topic,
audio_data_topic,
num_chan... | robotpt/ros-data-capture | src/data_capture/audio_capture2/scripts/capture.py | capture.py | py | 4,708 | python | en | code | 0 | github-code | 6 |
43242321794 | # Same as second example, but using F1 (ALM)
import casadi.casadi as cs
import opengen as og
import json
nu = 3
np = 1
u = cs.SX.sym("u", nu)
p = cs.SX.sym("p", np)
f = cs.dot(u, u)
for i in range(nu):
f += p * u[i]
F1 = cs.sin(u[0]) - 0.3
C = og.constraints.Zero()
U = og.constraints.Ball2(None, 0.5)
problem =... | BjoernLindqvist/Crazyflie_NMPC | third_example.py | third_example.py | py | 1,718 | python | en | code | 0 | github-code | 6 |
27757527715 | import math
import torch
import torch.nn as nn
from torch.nn.parameter import Parameter
import util as u
def reset_param(t):
stdv = 2. / math.sqrt(t.size(0))
t.data.uniform_(-stdv,stdv)
class GCN_LSTM(nn.Module):
def __init__(self, args, activation, device='cpu'):
super().__init__()
sel... | sunny77889/DyGCN | compare_models/GCN_LSTM/gcn_lstm.py | gcn_lstm.py | py | 2,679 | python | en | code | 3 | github-code | 6 |
32028489205 | # Prueba
#
# _nombreVariable = "platano-😸"
#
# print(_nombreVariable) #Comentario de 1 Linea
#
# """
# Patos
# Todos
#
# queso
# ...
# """
"""Prueba 01"""
# cars = ["Ford","Volvo","BMW"]
#
# for x in cars:
# print(x)
#
"""Prueba 02"""
# cars = ["Ford","Volvo","BMW"]
# cars.append("Puros😨")
# for x in cars:
#... | Andreius-14/Notas_Mini | 3.Python/1.sintaxis-py.py | 1.sintaxis-py.py | py | 2,111 | python | en | code | 0 | github-code | 6 |
13351154708 | # -*- coding: utf-8 -*-
#electrical calculator
import math
import cmath
import numpy as np
import matplotlib.pyplot as plot
from matplotlib.offsetbox import AnchoredText
#three phase power calculations
def singlePhaseLoad( powerConsumed, powerFactor, leadLag):
#powerConsumed in kW
#power factor
#leadLag ... | vdatl5/electricalCalculator | elecCalc.py | elecCalc.py | py | 4,282 | python | en | code | 0 | github-code | 6 |
6905807226 | NUM_ROWS = 5
NUM_COLS = 9
# construct a matrix
my_matrix = {}
for row in range(NUM_ROWS):
row_dict = {}
for col in range(NUM_COLS):
row_dict[col] = row * col
my_matrix[row] = row_dict
# print(my_matrix)
d_frmt = '{:<4} {:<4}'
for k,v in my_matrix.items():
print("{", k, "}", "\t", v)
frmt = '{... | hqpiotr/learning-python | 2. Python - Rice/c3-dataAnalysis/week1/ex.py | ex.py | py | 472 | python | en | code | 0 | github-code | 6 |
23837831992 | '''
Script for building and visualization of v(x) function for fixed x0 and gamma
(OSCILLATING case of eigenfunction)
'''
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import utils
x0 = 0.41
gamma = 6.0
AFTER_TANGENT = False
SUFFIX_NAME = '_after_tangent' if AFTER_TANGENT else ''
CSV_FILE =... | leonel11/KaschenkoEquation | Scripts/oscillating_draw_v_function.py | oscillating_draw_v_function.py | py | 2,269 | python | en | code | 0 | github-code | 6 |
73814974266 | import mimetypes
import os
from bonobo.nodes import (
CsvReader, CsvWriter, FileReader, FileWriter, JsonReader, JsonWriter, PickleReader, PickleWriter
)
FILETYPE_CSV = "text/csv"
FILETYPE_JSON = "application/json"
FILETYPE_PICKLE = "pickle"
FILETYPE_PLAIN = "text/plain"
READER = "reader"
WRITER = "writer"
clas... | python-bonobo/bonobo | bonobo/registry.py | registry.py | py | 3,404 | python | en | code | 1,564 | github-code | 6 |
21569780010 | import rospy
import actionlib
from trajectory_msgs.msg import JointTrajectory, JointTrajectoryPoint
from control_msgs.msg import FollowJointTrajectoryAction, FollowJointTrajectoryGoal
from prl_pinocchio.tools.configurations import ConfigurationConvertor
class Commander:
"""
This class is in charge of the contr... | inria-paris-robotic-lab/prl_hpp_tsid | prl_pinocchio/src/prl_pinocchio/commander.py | commander.py | py | 6,622 | python | en | code | 0 | github-code | 6 |
33952361000 | from pyimagesearch.centroidtracker import CentroidTracker
from pyimagesearch.trackableobject import TrackableObject
from imutils.video import VideoStream
from imutils.video import FPS
import numpy as np
import argparse
import imutils
import time
import dlib
import cv2
ap = argparse.ArgumentParser()
ap.add_argument("... | Nem3sisX/piedpiper-socialspace | Inside_Store_Model/run.py | run.py | py | 4,748 | python | en | code | 6 | github-code | 6 |
27390985743 | # Configuration file for the Sphinx documentation builder.
#
# For the full list of built-in configuration values, see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html
import os
import sys
sys.path.insert(0, os.path.abspath("../../"))
sys.path.insert(0, os.path.abspath("."))
import ... | edoaltamura/swiftzoom | docs/source/conf.py | conf.py | py | 3,219 | python | en | code | 0 | github-code | 6 |
42672162843 | # -*- coding: utf-8 -*-
"""
Created on Apr 7 2021
Modified on May 05 2021
@author: Andres Sandino
Convert "nii" image format in "png" in Lung WW=-500,WL=1500
"""
#%%
import os
import numpy as np
import matplotlib.pyplot as plt
import cv2
import nibabel as nib
# Patient number
patient_no = 1
# Origin path and file... | andres87sg/LungCT | ConvertImages/get_nii_LungMask.py | get_nii_LungMask.py | py | 1,553 | python | en | code | 1 | github-code | 6 |
10501866472 | """
Fibonaci Number using Bottom-up Dynamic programming approach
"""
def fibonacci_num(num):
table = {}
for k in range(1, num+1):
if k<=2:
f=1
else:
f = table[k-1] + table[k-2]
table[k] = f
print(table[k])
return table[k]
fibonacci_num(100) | anojkr/coding-assignment | dynamic_programming/fibonacci.py | fibonacci.py | py | 257 | python | en | code | 0 | github-code | 6 |
27894126033 | def gcd(a, b):
while b > 0:
a, b = b, a % b
return a
def lcm(a, b):
return int(a * b / gcd(a, b))
def solution(n, m):
answer = []
if n < m:
answer.append(gcd(n, m))
answer.append(lcm(n, m))
elif m < n:
answer.append(gcd(m, n))
answer.append(lcm(m, n))
... | SheepEatLion/Algorithms | num2_progms_1.py | num2_progms_1.py | py | 473 | python | ko | code | 0 | github-code | 6 |
22460490121 | import os
import sys
import argparse
import time
import warnings
import torch
import torch.nn.functional as F
import numpy as np
import matplotlib.pyplot as plt
sys.path.append(os.path.join(os.getcwd().split('cbo-in-python')[0], 'cbo-in-python'))
from src.torch.models import *
from src.datasets import load_mnist_dat... | Igor-Tukh/cbo-in-python | demo/torch_nn_demo.py | torch_nn_demo.py | py | 8,219 | python | en | code | 3 | github-code | 6 |
1822828953 | #BinarySearch
import math
def binsearch(n,arr,alen):
print("Array to search:",arr)
si = 0
ei = alen-1
while si<=ei:
m = math.ceil((si+ei)/2)
if n == arr[m]:
print("\t\tFound {} at {}".format(n,m))
return m
elif n < arr[m]:
... | sushasru/LeetCodeCrunch | wwc_BinarySearch.py | wwc_BinarySearch.py | py | 704 | python | en | code | 0 | github-code | 6 |
26625675366 | from django import template
import re
try:
from django.utils.safestring import mark_safe
except ImportError:
mark_safe = lambda s:s
register = template.Library()
def rfc3339_date(date):
return date.strftime('%Y-%m-%dT%H:%M:%SZ')
register.filter('atom_date', rfc3339_date)
def atom_tag_uri(url, date=None)... | dokterbob/satchmo | satchmo/apps/satchmo_ext/product_feeds/templatetags/satchmo_feed.py | satchmo_feed.py | py | 4,527 | python | en | code | 30 | github-code | 6 |
26712172198 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
if __name__ == '__main__':
s = "Доброе утро, товарищ"
if 'а' in s:
print(f"Порядковый номер первой буквы а: {s.find('а') + 1}")
else:
print("В предложении нет буквы а") | BorsukovVladislav/LR6 | PyCharm/Individual/Task2.py | Task2.py | py | 312 | python | ru | code | 0 | github-code | 6 |
40466806630 | import pyvirtualcam
import cv2
import time
from filters import Filters
import math
from datetime import datetime
import ML.HandTrackingModule as htm
class VCam:
def __init__(self, mxhand, video, f, detCon=0.5, cw=640, ch=480, du=True):
cv2.namedWindow('feedback')
self.videocap = video
sel... | biguelito/funcam | vcam.py | vcam.py | py | 5,797 | python | en | code | 0 | github-code | 6 |
30970248515 | from euphorie.content.browser.country import ManageUsers
from euphorie.content.countrymanager import ICountryManager
from euphorie.content.sector import ISector
class OSHAManageUsers(ManageUsers):
@property
def sectors(self):
sectors_list = []
for sector in self.country.values():
i... | euphorie/osha.oira | src/osha/oira/content/browser/country.py | country.py | py | 1,736 | python | en | code | 4 | github-code | 6 |
10981447634 | '''
Created on Oct 26, 2015
@author: jcheung
Developed for Python 2. May work for Python 3 too (but I never tried) with minor changes.
'''
import xml.etree.cElementTree as ET
import codecs
class WSDInstance:
def __init__(self, my_id, lemma, context, index):
self.id = my_id # id of the WSD instanc... | JGuymont/lesk-algorithm | lesk/loader.py | loader.py | py | 2,227 | python | en | code | 3 | github-code | 6 |
31277293302 | import unittest
from unittest.mock import Mock
from src.display.point import Point
from src.display.window import Window
class TestPoint(unittest.TestCase):
def test_draw(self):
# Given
display = Mock()
window = Window(Point.Zero, 10, 10, display)
# When
window.draw('hello ... | TrevorVonSeggern/gcode-terminal | test/testWindow.py | testWindow.py | py | 1,503 | python | en | code | 0 | github-code | 6 |
22773337009 | #!/usr/local/epics/modules/pythonIoc/pythonIoc
from softioc import softioc, builder
from netmon import netmon
net = netmon("switch_list.csv")
builder.LoadDatabase()
softioc.iocInit()
net.start_monit_loop()
softioc.interactive_ioc(globals())
| star-controls/network-switch-monitor | main.py | main.py | py | 247 | python | en | code | 0 | github-code | 6 |
70808563069 | import torch
from .assign_result import AssignResult
from .base_assigner import BaseAssigner
def calc_region(bbox, ratio, stride, featmap_size=None):
# Base anchor locates in (stride - 1) * 0.5
f_bbox = (bbox - (stride - 1) * 0.5) / stride
x1 = torch.round((1 - ratio) * f_bbox[0] + ratio * f_bbox[2])
... | thangvubk/Cascade-RPN | mmdet/core/bbox/assigners/region_assigner.py | region_assigner.py | py | 8,816 | python | en | code | 177 | github-code | 6 |
38314545769 | from src.web.fetch import Fetch
class Coupang:
URL = "https://www.coupang.com"
_REQUEST_HEADERS = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64)"
"AppleWebKit/537.36 (KHTML, like Gecko) Chrome/90.0.4430.93 Safari/537.36",
}
_COOKIES = {
# Update PCID... | jshyunbin/comment_crawler | src/mall/coupang.py | coupang.py | py | 994 | python | en | code | 2 | github-code | 6 |
2857680026 | import numpy as np
import torch
from functools import reduce # Required in Python 3
import operator
def prod(iterable):
return reduce(operator.mul, iterable, 1)
def multi_index_to_single(tensor, index):
i = 0
return torch.stack([index[i] * prod([tensor.shape[j] for j in range(i + 1, tensor.ndim)]) + in... | DavidRuhe/interferometry | src/gridding_python_improved/add_at.py | add_at.py | py | 1,989 | python | en | code | 0 | github-code | 6 |
11924464860 | # Definition for singly-linked list.
# class ListNode:
# def __init__(self, val=0, next=None):
# self.val = val
# self.next = next
class Solution:
def reverseList(self, head: Optional[ListNode]) -> Optional[ListNode]:
if head:
return_node = ListNode(head.val)
curr... | jasonxchen/leetcode | 0206-reverse-linked-list/0206-reverse-linked-list.py | 0206-reverse-linked-list.py | py | 546 | python | en | code | 2 | github-code | 6 |
14764098844 | import sys
from typing import List, Tuple
def _get_element_orders(arr: List[int],
key: int) -> Tuple[List[int], List[int], int]:
"""
return two lists - one of figures less than
key and one of those greater - and the count
of key in arr
"""
less, greater, equal = [], []... | JoeLove100/data-structures-and-algorithms | divide_and_conquer/majority_element.py | majority_element.py | py | 1,557 | python | en | code | 0 | github-code | 6 |
22728666874 | from imageai.Detection import ObjectDetection
import os
import sys
prices = {
'bottle' : 11,
'apple' : 20,
'orange' : 20,
'sandwich' : 20,
'hot_dog' : 20,
'pizza' : 20,
'donut' : 20,
'cake' : 20
}
def processImage(input_file,output_file) :
os.environ['TF_CPP_MIN_LOG... | sawatdee/AI-image-processing | home/libs/shop_detection.py | shop_detection.py | py | 1,461 | python | en | code | 0 | github-code | 6 |
15135490887 | #!/usr/bin/env python2
from psychopy import core, visual, event
#create a window to draw in
myWin = visual.Window([400,400.0], allowGUI=False)
#INITIALISE SOME STIMULI
gabor = visual.GratingStim(myWin,tex="sin",mask="gauss",texRes=256,
size=[1.0,1.0], sf=[4,0], ori = 0, name='gabor1')
gabor.autoDraw = True... | honeymustard33/experiment_riskdetection | project/psycho/psychopy/demos/coder/stimuli/gabor.py | gabor.py | py | 671 | python | en | code | 0 | github-code | 6 |
31015459461 | import os
import sys
BASE_DIR = os.path.dirname(__file__)
sys.path.append(BASE_DIR)
sys.path.append(os.path.join(BASE_DIR, '../utils'))
import tensorflow as tf
import numpy as np
import tf_util
from pointnet_util import pointnet_sa_module, pointnet_fp_module
def placeholder_inputs(batch_size, num_point):
pointclou... | kxhit/BDCI2018-pointnet- | models/pointnet2_sem_seg_xyzi_final.py | pointnet2_sem_seg_xyzi_final.py | py | 8,126 | python | en | code | 6 | github-code | 6 |
74494631546 | """
Coin recognition, real life application
task: calculate the value of coins on picture
"""
import cv2
import numpy as np
def detect_coins():
coins = cv2.imread('../input_image/koruny.jpg', 1)
gray = cv2.cvtColor(coins, cv2.COLOR_BGR2GRAY)
img = cv2.medianBlur(gray, 7)
circles = cv2.HoughCircles(
... | tinazhouhui/computer_vision | image_analysis/coin_amount_calculate.py | coin_amount_calculate.py | py | 3,054 | python | en | code | 1 | github-code | 6 |
35508636359 |
#START{
import os
from github import Github
import json
import sys
import re
import time
from tabulate import tabulate
def clone_repos(GITHUB_ACCESS_TOKEN,GITHUB_USERNAME):
g = Github(GITHUB_ACCESS_TOKEN)
# Create "repos" folder if it doesn't exist
if not os.path.exists("repos"):
os.makedirs("rep... | TAFFAHACHRAF/TAFFAHACHRAF | main.py | main.py | py | 7,201 | python | en | code | 3 | github-code | 6 |
73924482426 | import re
from bs4 import BeautifulSoup
'''
要爬取信息：
1. 基本信息
2. 作者简介
3. 内容简介
4. 原文摘录
5. 推荐电子书
6. 推荐书籍
7. 评论
'''
class Parser(object):
def __init__(self, soup):
self.title = soup.find('span', property="v:itemreviewed")
self.imgLink = soup.find('a', class_='nbg')
... | icecream-and-tea/labs_web | lab1/lab1_stage1/book_spider/src/html_parser.py | html_parser.py | py | 5,863 | python | en | code | 2 | github-code | 6 |
37018468843 | import numpy as np
# randomly sampling 100 obsev from t-distribution
N = 1000
df = N-1
X = np.random.standard_t(df, size = N)
import matplotlib.pyplot as plt
from scipy.stats import t
x_values = np.arange(-5,5,0.1)
y_values = t.pdf(x_values,df)
# Sample Distribution
count, bins, ignored = plt.hist(X, 20, density = ... | TatevKaren/mathematics-statistics-for-data-science | Probability-Distribution-Functions/Student t distribution.py | Student t distribution.py | py | 634 | python | en | code | 88 | github-code | 6 |
40261683440 | import sys
sys.path.append("..")
import os
import pandas
import re
import math
import argparse
from models.train_model import get_training_model_new
from train.ds_iterator import DataIterator
from train.ds_client_generator import DataGeneratorClient
from keras.optimizers import Adam
from keras.callbacks import Learning... | piperod/beepose | beepose/train/train_stages.py | train_stages.py | py | 7,547 | python | en | code | 8 | github-code | 6 |
37430539138 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
name: shopnum1 GuidBuyList.aspx SQL注入
referer: http://www.wooyun.org/bugs/wooyun-2015-0118447
author: Lucifer
description: 文件GuidBuyList.aspx中,参数guid存在SQL注入。
'''
import sys
import requests
class shopnum_GuidBuyList_sqli_BaseVerify:
def __init__(self, url):
... | iceyhexman/onlinetools | scanner/plugins/cms/shopnum/shopnum_GuidBuyList_sqli.py | shopnum_GuidBuyList_sqli.py | py | 1,147 | python | en | code | 1,626 | github-code | 6 |
17547705346 | from keras.models import Model, load_model, save_model
from keras.layers import Input, Dense, Conv2D, Flatten, BatchNormalization, AveragePooling2D
from keras.activations import relu, softmax
from keras import backend as K
from keras.optimizers import Adam, RMSprop, SGD
import keras.initializers as initializers
class ... | rlalpha/rl-trial | ppo/actor.py | actor.py | py | 3,131 | python | en | code | 0 | github-code | 6 |
7161693364 | """
Given an unsorted integer array nums, return the smallest missing positive integer.
You must implement an algorithm that runs in O(n) time and uses constant extra space.
Example 1:
Input: nums = [1,2,0]
Output: 3
Example 2:
Input: nums = [3,4,-1,1]
Output: 2
Example 3:
Input: nums = [7,8,9,11,12]
Output: 1
... | CompetitiveCodingLeetcode/LeetcodeEasy | Hard/FirstMissingPositive_Q41.py | FirstMissingPositive_Q41.py | py | 1,307 | python | en | code | 0 | github-code | 6 |
43627672364 | from typing import List
class Solution:
# Two pointers
def maximumScore(self, nums: List[int], k: int) -> int:
i, j = k, k
n = len(nums)
res, minVal = nums[k], nums[k]
while 0 < i or j < n-1:
if i == 0:
j += 1
elif j == n-1:
... | MichaelTQ/LeetcodePythonProject | solutions/leetcode_1751_1800/LeetCode1793_MaximumScoreOfAGoodSubarray.py | LeetCode1793_MaximumScoreOfAGoodSubarray.py | py | 1,424 | python | en | code | 0 | github-code | 6 |
20774839234 | import csv
import math
import time
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.ticker as mticker
initial = time.time()
B = 5e-4
RBW = 300
data = {}
for k in range(11):
for i in range(3):
with open('C:\\Users\\uqfgotar\\Documents\\Magnetome... | gotamyers/Flux_conc_height | Read_multiple_data_files.py | Read_multiple_data_files.py | py | 3,404 | python | en | code | 0 | github-code | 6 |
34900553836 | #!/usr/bin/env python
import argparse
import collections
import operator
import os
import re
UA_RE = re.compile(r'"(Mozilla[^"]*?)"')
def extract_log(file_obj, counts):
for line in file_obj:
m = UA_RE.search(line)
if not m:
continue
counts[m.groups()[0]] += 1
def main():
... | eklitzke/nginx-ua-extract | extract.py | extract.py | py | 946 | python | en | code | 0 | github-code | 6 |
15273361459 | from . import TestCase
from flask import url_for
from .. import db
from ...models import User
class UsersTest(TestCase):
render_templates = False
def test_list_users(self):
self._create_user()
response = self.as_user('get', url_for("users"))
self.assertEquals(1, len(response.json[... | juokaz/flask-skeleton | website/api/tests/users_test.py | users_test.py | py | 2,120 | python | en | code | 0 | github-code | 6 |
72132172028 | import datetime
import re
import subprocess
import sys
from typing import Optional
def run(argv: list[str]) -> subprocess.CompletedProcess:
return subprocess.run(
argv,
capture_output=True,
encoding='utf-8'
)
def error(str: str) -> None:
sys.stderr.write("%s\n" % str)
def get_m... | djfo/dev-tools | merge_commits.py | merge_commits.py | py | 3,438 | python | en | code | 1 | github-code | 6 |
19733029074 | # -*- coding: utf-8 -*-
import logging
import requests
from bs4 import BeautifulSoup
logging.basicConfig(level=logging.DEBUG)
logger = logging.getLogger('wb')
class Client:
def __init__(self):
self.session = requests.Session()
self.session.headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Wi... | KogameDev/WildberriesParser | main.py | main.py | py | 1,056 | python | en | code | 0 | github-code | 6 |
44555345770 | from py532lib.mifare import *
import time
import binascii
import hashlib
Mifare().SAMconfigure()
Mifare().set_max_retries(MIFARE_SAFE_RETRIES)
hs = hashlib.md5(b'ffffffffffffff') #這裡之後就會刪掉，不出示明文標籤
hs_md5 = hs.hexdigest()
i=0
while True:
ID = binascii.hexlify(Mifare().scan_field())
hs_ori = hashlib.md5(ID) ... | chyijiunn/NFC | 09_hash_Tag.py | 09_hash_Tag.py | py | 660 | python | en | code | 0 | github-code | 6 |
15293278222 | import numpy as np
import pandas as pd
from flask import Flask, render_template, request
app = Flask(__name__)
df = pd.read_csv("amazon_prime.csv")
df = df.fillna("NaN")
df["release_year"] = [str(x) for x in df['release_year']]
def get_features(feats):
input_columns = feats[0]
inputs = feats[1]
indices... | daBawse167/amazon-prime | app.py | app.py | py | 4,782 | python | en | code | 0 | github-code | 6 |
37570271122 | import re
def fonct(text):
x = re.compile(r'[A-Za-z0-9]{8,}')
mo = x.search(text)
if mo is not None:
x = re.compile(r'\d+')
y = re.compile(r'[a-z]+')
z = re.compile(r'[A-Z]+')
mo1 = x.search(text)
mo2 = y.search(text)
mo3 = z.search(text)
if mo1 is... | bishkou/Automate-the-boring-stuff-with-python | Regex/PhoneEmailRegEx.py | PhoneEmailRegEx.py | py | 520 | python | en | code | 1 | github-code | 6 |
37785863928 | #!/usr/bin/env python3
# Modules libraries
from PyInquirer import Separator
from PyInquirer.prompts import list as PyInquirer_prompts_list
from PyInquirer.prompts.common import if_mousedown
from PyInquirer.prompts.list import basestring
from prompt_toolkit.layout.controls import TokenListControl
from prompt_toolkit.to... | starr-dusT/gitlab-ci | gitlabci_local/package/patcher.py | patcher.py | py | 3,488 | python | en | code | 0 | github-code | 6 |
10220508565 | from time import time
from nazurin.database import Database
from nazurin.models import Illust
from .api import Zerochan
from .config import COLLECTION
patterns = [
# https://www.zerochan.net/123456
r"zerochan\.net/(\d+)",
# https://s1.zerochan.net/Abcdef.600.123456.jpg
# https://static.zerochan.net/A... | y-young/nazurin | nazurin/sites/zerochan/interface.py | interface.py | py | 702 | python | en | code | 239 | github-code | 6 |
1822810123 | #Symmetric Binary Tree
#option-1 - using queue
class Node():
def __init__(self,data):
self.data = data
self.lchild = None
self.rchild = None
##class BSTree():
## #def __init__(self):
## #self.root = None
def insertlevelordertree(arr,root,i,n):
if i <... | sushasru/LeetCodeCrunch | SymmetricBinaryTree.py | SymmetricBinaryTree.py | py | 4,756 | python | en | code | 0 | github-code | 6 |
70357157629 | # coding=utf-8
import numpy as np
import matplotlib.pyplot as plt
MapL = 15 # Chessboard size
WinN = 5 # "Five"-in-a-row
step = 0 # Steps taken
steps = [] # Coordinates of each step
end_flag = 0 # Game end flag
board = np.zeros((MapL,MapL),dtype=np.int64) # chessboard
mode = 4 # modes: 0:p... | BetaGem/Games | gobang.py | gobang.py | py | 13,951 | python | en | code | 2 | github-code | 6 |
16119409500 | import customtkinter as tk
tk.set_appearance_mode("dark")
janela = tk.CTk()
janela.title("Janela 1")
janela.geometry("400x350")
janela.configure(fg_color="grey31")
janela.resizable(width=False,height=False)
colunas = list(range(13))
linhas = list(range(13))
janela.grid_columnconfigure(colunas, weight=1)
j... | dudasaanches/interface-grafica | 1.py | 1.py | py | 1,201 | python | pt | code | 0 | github-code | 6 |
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