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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
22911048881 |
from flask import Flask,request
from flask_restful import Resource, Api
import pickle
import pandas as pd
from flask_cors import CORS
import numpy as np
app = Flask(__name__)
CORS(app)
api = Api(app)
#GET
@app.route('/')
def index():
return 'Vist /predict Endpoint'
#MODEL API
@app.route('/predict', ... | shivamdpat94/GLM26.2 | app.py | app.py | py | 5,250 | python | en | code | 0 | github-code | 54 |
34536580586 | grid = [list(map(int, line.strip())) for line in open("Day11.txt", "r")]
ans = 0
i = 0
while True:
i += 1
visited = set()
fq = []
for r in range(10):
for c in range(10):
grid[r][c] += 1
if grid[r][c] > 9:
fq.append((r, c))
visited.add((r, c))
while len(fq):
r, c = fq.pop(0)
for dr in range(-1,... | kevinmchung/AdventOfCode | 2021/Day11/Day11.py | Day11.py | py | 714 | python | en | code | 1 | github-code | 54 |
40407112780 | nums = []
p = 0
maxRange = 100
for i in range(1,maxRange+1):
nums.append(i)
for x in range(0,nums.__len__()):
n = nums[x]**2
p = p+n
t = sum(nums)
t = t **2
print(t - p) | Jampar/JP-Programming | Python/Project Euler/Euler Problems/Euler 6.py | Euler 6.py | py | 187 | python | en | code | 0 | github-code | 54 |
70659860321 | """
类别：论语
"""
import sqlite3
import os
import json
def make_db(db, path):
sql = '''
CREATE TABLE IF NOT EXISTS "lunyu" (
"id" INTEGER NOT NULL PRIMARY KEY AUTOINCREMENT,
"chapter" TEXT,
"paragraphs" TEXT
);
'''
print('\r\n论语 正在初始化...')
try:
conn = sqlite3.connect(db)
cur = conn.curso... | hippieZhou/chinese-poetry-db | src/lunyu.py | lunyu.py | py | 1,081 | python | en | code | 31 | github-code | 54 |
26634277747 |
from typing import Callable, List
import torch
from torch import nn
import torch.nn.functional as F
from einops import rearrange, repeat
from .conv_blocks import ConvBlock, DownBlock, UpBlock
from .temporal_encoder import TemporalAttentionEncoder2D
class UTILISE(nn.Module):
def __init__(self,
i... | YvonLG/U-TILISE | model/utilise.py | utilise.py | py | 3,645 | python | en | code | 0 | github-code | 54 |
17961521442 | '''
Transcribing DNA into RNA
An RNA string is a string formed from the alphabet containing 'A', 'C', 'G', and 'U'.
Given a DNA string t corresponding to a coding strand, its transcribed RNA string u is formed by replacing all occurrences of 'T' in t with 'U' in u.
Given: A DNA string t having length at most 1000 nt.... | Piergiorge/Python | scripts/Rosalind/rosalind_rna.py | rosalind_rna.py | py | 534 | python | en | code | 0 | github-code | 54 |
4622604933 | import Student as s
import Batch as b
class StudentScheduler:
def __init__(self):
self.listStudent = list()
self.listBatch = list()
def addStudent(self,name,roll):
for i in range(0,self.listStudent.__len__()):
if(self.listStudent[i].rollNumber == roll):
retur... | iit2013159/PythonPractice | project1/StudentScheduler.py | StudentScheduler.py | py | 1,418 | python | en | code | 0 | github-code | 54 |
9339861621 | import pytest
from utils import filter_gc
import picologging
@pytest.mark.limit_leaks("192B", filter_fn=filter_gc)
def test_basic_handler():
handler = picologging.Handler()
record = picologging.LogRecord(
"test", picologging.INFO, "test", 1, "test", (), None, None, None
)
with pytest.raises(N... | microsoft/picologging | tests/unit/test_handler.py | test_handler.py | py | 4,181 | python | en | code | 571 | github-code | 54 |
19238319250 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2018-12-04 16:15
# @Author : Albert liang
# @Email : ld602199512@gmail.com
# @File : model.py
import tensorflow as tf
class CNN(object):
def __init__(self, image_height, image_width, kernels, drop_keep_prob):
"""
:param image_heigh... | albert-liangd/captcha_recognize | model.py | model.py | py | 3,826 | python | en | code | 0 | github-code | 54 |
19140171847 | import pytest
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.testing.decorators import check_figures_equal
from matplottoy.artists import image, line
import matplottoy.datasources.array as da
from matplottoy.tests.utils import check_axes_property
class TestArray:
@pytest.fixture(autouse=T... | story645/proposal | code/scraps/tests/test_array.py | test_array.py | py | 3,309 | python | en | code | 13 | github-code | 54 |
40701834503 | import os
import sys
__dir__ = os.path.dirname(os.path.abspath(__file__))
sys.path.append(__dir__)
sys.path.append(os.path.abspath(os.path.join(__dir__, '../..')))
import cv2
import copy
import numpy as np
import math
import time
import sys
import paddle.fluid as fluid
import ocr.tools.infer.utility as utility
from ... | MrZilinXiao/Hyper-Table-OCR | ocr/tools/infer/predict_det.py | predict_det.py | py | 8,299 | python | en | code | 151 | github-code | 54 |
21447632320 | import re
import sys
dirs = {
'e': (1, -1, 0),
'w': (-1, 1, 0),
'se': (0, -1, 1),
'sw': (-1, 0, 1),
'nw': (0, 1, -1),
'ne': (1, 0, -1),
}
tiles = {}
file = open(f'{sys.path[0]}/input.txt', 'r')
pattern = re.compile(r'(e|s[ew]|w|n[ew])')
for line in file:
tileMovements = pattern.findall(lin... | Bruception/advent-of-code-2020 | day24/part2.py | part2.py | py | 1,465 | python | en | code | 0 | github-code | 54 |
40197518745 | #!/bin/env -S pvpython --force-offscreen-rendering
## https://www.paraview.org/Wiki/ParaView_and_Python#Control_the_camera
""" The successor script to vis.py
NOTE: THIS SCRIPT IS DEPRECATED. USE PARAVISION INSTEAD.
@ideal usage:
$ paravis.py --pipeline project screenshot --project clip Plane 0.1 z -s Non... | modsim/ChromaHD-scripts | deprecated/paravis.py | paravis.py | py | 22,409 | python | en | code | 0 | github-code | 54 |
28133221066 | import ast
import inspect
import random
import re
import string
import time
import uuid
from datetime import datetime
from typing import Union
from lztools import ansi
from lztools.text.match_pairs import brace_matcher, parentheses_matcher, bracket_matcher, greater_and_less_than_matcher
from .match_pairs import Match... | Zanzes/lztools | lztools/text/lztext.py | lztext.py | py | 11,939 | python | en | code | 0 | github-code | 54 |
41014899450 | from classes.LoteBanco import LotesBanco
from variables import *
from datetime import datetime
from classes.Historico import Historico
from utils.utilitis import Util
from classes.LoteDetalle import LoteDetalle
from utils.db import Database as db
import traceback
from typing import List
import os
codigoClie... | jesusrafaell/Paso2-pagoproveedor | utils/writeFile.py | writeFile.py | py | 7,625 | python | es | code | 0 | github-code | 54 |
20003330907 | import argparse
def get_parser():
parser = argparse.ArgumentParser(description='LAVT training and testing')
parser.add_argument('--amsgrad', action='store_true',
help='if true, set amsgrad to True in an Adam or AdamW optimizer.')
parser.add_argument('--att_norm_layer_type', default... | Yxxxb/LAVT-RS | LAVT-RVOS/args.py | args.py | py | 19,534 | python | en | code | 1 | github-code | 54 |
35033173417 | from numpy import loadtxt
def main():
print('part 1')
print(sonar_sweep('day1/test_input.txt'))
print(sonar_sweep('day1/input.txt'))
print('part 2')
print(sonar_sweep3('day1/test_input.txt'))
print(sonar_sweep3('day1/input.txt'))
def sonar_sweep(path: str):
depths = loadtxt(path)
coun... | azhao9/advent-of-code-2021 | day1/main.py | main.py | py | 638 | python | en | code | 0 | github-code | 54 |
13368548194 | import matplotlib.pyplot as plt
import numpy as np
rand_arr = np.random.randint(1,1000,2000).reshape(1000,2) # macierz o kształcie (1000,2) wypełnioną losowymi wartościami.
plt.scatter(rand_arr[:,0],rand_arr[:,1]) # scatter - wizualizacja punktów
# Prawa górna ćwiartka w kolorze czerwonym
cmap = np.empty(rand_arr.s... | grzegorztata/Python | Modul_9/Modul_9_1/Modul_9_1_wykres_punktowy.py | Modul_9_1_wykres_punktowy.py | py | 769 | python | pl | code | 0 | github-code | 54 |
72294394402 | GENDER_CHOICES = (
('Male', 'Male'),
('Female', 'Female'),
('others', 'others')
)
MEMBER_TYPE =(
('Community', 'Community'),
('InnovationHub', 'InnovationHub')
)
USER_ROLES =(
('Admin', 'Admin'),
('EmpactUser', 'EmpactUser')
)
POST_STATUS_CHOICES = (
('draft', 'Dra... | bethwelmusin/Empact-power-up | app/utilities/choices.py | choices.py | py | 655 | python | en | code | 0 | github-code | 54 |
8729506066 | import serial
import sys
import re
import yaml
import logging
import time
from time import sleep
class DongleConnection:
def __init__(self):
self.port = "COM4"
self.sensor_serial = "28:2C:02:40:28:3C"
self.key = "3925"
self.retries_timeout = 3
self.retries_... | efento/Using-the-dongle-with-Python | dongleconnector.py | dongleconnector.py | py | 3,922 | python | en | code | 1 | github-code | 54 |
36712973377 | import scrapy
import uniout
import codecs
import sys
from scrapy import Selector
class pubmed_FULL_Spider(scrapy.Spider):
name = "pubmed_full"
website = "https://www.ncbi.nlm.nih.gov/"
allowed_domains = ["ncbi.nlm.nih.gov"]
#start = 1
#loop = 36534040
#
def __init__(self, pag... | lkfo415579/program_collection | code_grave/pubmed_full.py | pubmed_full.py | py | 2,657 | python | en | code | 0 | github-code | 54 |
37492266512 | import base64
import pyfldigi
import functools
from pytun import TunTapDevice
import random
from scapy.all import *
import sys
import time
def send_packet(packet):
ip = IP(packet)
origin_ip = ip.src
send(ip)
def get_byte_pair(integer):
return divmod(integer, 0x100)
def find_all_indexes(input_str, sea... | Rahi374/unlimited-dialup | client.py | client.py | py | 4,497 | python | en | code | 0 | github-code | 54 |
31527237240 | import socket
import threading
import os
from des import des
key = "keyyyyyy"
d = des()
def read_msg(clients, sock_cli, addr_cli, username_cli):
while True:
# terima pesan
data = sock_cli.recv(65535)
if len(data) == 0:
break
# parsing pesannya
act = data.decod... | prolifel/des-chat | server.py | server.py | py | 3,297 | python | en | code | 0 | github-code | 54 |
19334887432 | # -*- coding: utf-8 -*-
"""
Job to setup, train and evaluate the network
@author: Abdullah Thaibt
"""
import sys
import os
import argparse
import pandas as pd
import matplotlib.pyplot as plt
from glassimaging.execution.jobs.job import Job
from glassimaging.training.standardTrainer import StandardTrainer
from torch.u... | abdullahthabit/MAIA-projects | Summer internship - Uncertainty Estimation in Deep Learning Glioma Segmentation as a Measure for Active Learning/Code/glassimaging/execution/jobs/joball.py | joball.py | py | 9,648 | python | en | code | 1 | github-code | 54 |
31065493356 | import pprint #for print prettily
message = 'It was a bright cold day in April, and the clocks were striking thirteen.'
count = {}
for character in message:
#argument of the achracter is passed to the dictionary, with default value at 0
count.setdefault(character,0)
count[character] = count[character] +... | it-AVNG/Automate.Boring.Stuff | chapter5_dictionary/characterCount.py | characterCount.py | py | 345 | python | en | code | 0 | github-code | 54 |
11934536031 | # Importing the libraries
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from pandas import DataFrame as df
import seaborn as sns
from sklearn.neighbors import KNeighborsClassifier
# Importing the dataset
dataset = pd.read_csv('data.csv',encoding='iso-8859-1')
#Dataset for Positions
fi... | vigneshjayanth00/Football | Position Performance Metrics.py | Position Performance Metrics.py | py | 9,336 | python | en | code | 0 | github-code | 54 |
1366066723 | import datetime
import json
import sys
import uuid
import pika
import redis
import logging
import requests
import sqlite3
import configparser
cfg = configparser.ConfigParser()
cfg.read("./config_file.ini")
CLASSIFIER_HOST = cfg.get("hosts", "classifier", fallback="172.17.0.2")
RABBITMQ_HOST = cfg.g... | ecaterinacatargiu/SOA | CoreApp/core_app.py | core_app.py | py | 6,278 | python | en | code | 0 | github-code | 54 |
2006561104 | import random
from Tkinter import Tk, Label, Button, Entry, StringVar, END, W, E
import tkMessageBox
class GuessingGame:
def __init__(self, master):
self.master = master
master.title("Catalyst Engine")
self.guess = None
self.message = "Beta Engine"
... | Hndrx616/Python-src-redact | Py/guiExamples/betaSearch.py | betaSearch.py | py | 1,632 | python | en | code | 0 | github-code | 54 |
26601163916 | """
Author: Lâm Quang Thắng
Date: 25/09/2021
Program:
Viết một tập lệnh có tên là dif.py. Tập lệnh này sẽ nhắc người dùng về tên
của hai tệp văn bản và so sánh nội dung của hai tệp để xem chúng có phải là
tương tự. Nếu đúng như vậy, tập lệnh sẽ chỉ xuất ra "Có". Nếu không, kịch bản
sẽ xuất ra "Không", theo sau ... | Thang998877/lamquangthang58451.. | LamQuangThang_58451_CH04/Projects/page_133_projects_10.py | page_133_projects_10.py | py | 1,931 | python | vi | code | 0 | github-code | 54 |
13568278008 | """Implementations of multi-layer perceptron (MLP) and other helper classes."""
from __future__ import annotations
from typing import TYPE_CHECKING, Callable
import torch
from dgl import DGLGraph, broadcast_edges, softmax_edges, sum_edges
from torch import nn
from torch.nn import LSTM, Linear, Module, ModuleList
if ... | materialsvirtuallab/matgl | src/matgl/layers/_core.py | _core.py | py | 6,119 | python | en | code | 145 | github-code | 54 |
18832871690 | from datetime import datetime
import gspread
from oauth2client.service_account import ServiceAccountCredentials
import random
import time
import PySimpleGUI as sg
import datetime
import webbrowser
key_name = r"python-api-project-331021-5d18bfc4ee9a.json" #jsonキー名
sheet_name = "testcsv" #スプレッドシート名
#APIにアクセス
scope =... | TrellixVulnTeam/sqlite_MS5I | onogam/aaaaaaa.py | aaaaaaa.py | py | 2,250 | python | en | code | 0 | github-code | 54 |
13100368583 | from selenium import webdriver
from selenium.webdriver import FirefoxOptions
# To enable Chrome:
# driver = webdriver.Chrome("/Users/sueroh/chromedriver")
opts = FirefoxOptions()
opts.add_argument("--headless")
driver = webdriver.Firefox(
executable_path="/Users/sueroh/geckodriver",
firefox_options=opts)
| wiseshrimp/landlord-search | db/seed/driver.py | driver.py | py | 316 | python | en | code | 0 | github-code | 54 |
36712822802 | import sys
import numpy as np
from matplotlib import pyplot as plt
from network import Network
from functions_network import data_loader, plot_figure, plot_scores
#python main_network.py 0
data_type = sys.argv[1]
# Se grafican los resultados para 2 tipos de datos:
# 0: circulos
# 1: lunas
#Arquitectura de red
#... | beregrande/machine-learning-galaxies | NeuralNetworks/ArtificialNeuralNetwork/main_network.py | main_network.py | py | 1,169 | python | es | code | 2 | github-code | 54 |
27881778763 | ## @Copyright by DENG, Zhidong, Department of Computer Science, Tsinghua University
## Updated on April 6, 2019
## Density-based Distance Tree (DDT) + LCCV
import numpy as np
# ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
# Compute the Silhouette width criterion (S... | zhangruiwenCR7/som | ddt-lccv/LCCV.py | LCCV.py | py | 5,165 | python | en | code | 1 | github-code | 54 |
34464913481 | #!/usr/bin/python
import concurrent.futures
from builder import SIXAnalyzer_builder
from finder import SIXAnalyzer_finder
import files
import stats
class SIXAnalyzer_runner():
def __init__(self):
with concurrent.futures.ProcessPoolExecutor(max_workers=2) as executor:
future_files = executor.s... | Sixdsn/CppAnalyzer | modules/runner.py | runner.py | py | 931 | python | en | code | 1 | github-code | 54 |
29601501210 | import os
os.chdir("/Users/olivia/oliviaphd/")
import msprime
import pyslim
import tskit
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import time
import itertools
genomeSize = int(1e6)
popnSize = int(1e4)
mutRate = 1e-6
recRate = 1e-8
l = 20
y = 2.0
d = 0.6
nWin = 20
rGen = 100
sum_gen = 8#... | olivia-johnson/oliviaphd | scripts/sim_seglift_old.py | sim_seglift_old.py | py | 9,077 | python | en | code | 0 | github-code | 54 |
1202689702 | import pandas as pd
import numpy as np
import regex as re
# create list of data files
data_to_read = ['HC/HC_14.csv', 'HC/HC_15.csv', 'HC/HC_16.csv', 'HC/HC_17.csv', 'HC/HC_18.csv', 'HC/HC_19.csv']
years_to_read = ['2014', '2015', '2016', '2017', '2018', '2019']
# list of survey waves to collapse
combine = [['ACTDTY... | angelathe/classifying-opioid-use | data_cleaning/data_clean_hh.py | data_clean_hh.py | py | 5,350 | python | en | code | 1 | github-code | 54 |
5444160583 | from base_tokenizer import BaseTokenizer
from utils import load_n_grams
import ast
import os
__author__ = "Ha Cao Thanh"
__copyright__ = "Copyright 2018, DeepAI-Solutions"
class LongMatchingTokenizer(BaseTokenizer):
def __init__(self, bi_grams_path='/home/tuannm/mine/vnexpress-texts-classification/tokenization/b... | tuannm2914/nlp | tokenization/dict_models.py | dict_models.py | py | 3,530 | python | en | code | 0 | github-code | 54 |
7876485420 | #!/usr/bin/env python
# -*- coding:utf-8 -*-
# @FileName :1706. Where Will the Ball Fall.py
# @Time :2/23/22
# @Author :Eason Tang
from typing import List
class Solution:
def findBall(self, grid: List[List[int]]) -> List[int]:
def fall(ball_column):
"""
This function calcu... | tangyisheng2/leetcode-note | code/1706. Where Will the Ball Fall.py | 1706. Where Will the Ball Fall.py | py | 1,365 | python | en | code | 1 | github-code | 54 |
31706821513 | #from _typeshed import OpenBinaryMode
from flask import Flask, render_template, request, redirect, url_for, session, jsonify
# for colors
import numpy as np #needed for spec2col
from funktionen import spectralTrafo
from funktionen import spectralGuess
app = Flask(__name__)
app.config['SECRET_KEY'] = '4413'
@app.rout... | AlphaMegaladon/SpectralColor | app.py | app.py | py | 4,942 | python | en | code | 0 | github-code | 54 |
2564042145 | import pandas as pd
import numpy as np
import random
from lightgbm import LGBMClassifier
#Initialise the random seeds
def random_init(**kwargs):
random.seed(kwargs['seed'])
np.random.seed(kwargs['seed'])
def load_data(df,cv=False,target=False,**kwargs):
num_samples = len(df)
sample_size = len(args... | sajedjalil/Data-Science-Pipeline-Detector | dataset/tabular-playground-series-mar-2021/Oscar/tabulardata-lightgbm.py | tabulardata-lightgbm.py | py | 3,633 | python | en | code | 8 | github-code | 54 |
40666202825 | #!/usr/bin/env python
import matplotlib.pyplot as plt
import numpy as np
import torch
from torch import nn
from torch import optim
import torch.nn.functional as F
from torchvision import datasets, transforms, models
from PIL import Image
from torch.autograd import Variable
from torch.optim import lr_schedul... | nlisch/udacity_data_scientist_nanodegree_program | Term 2 - Deep learning ( Pytorch Classifier ) /predict.py | predict.py | py | 3,550 | python | en | code | 0 | github-code | 54 |
19397403095 | import sys
from PyQt5 import QtWidgets
from UI import pingxing
if __name__ == "__main__":
app = QtWidgets.QApplication(sys.argv)
MainWindow = QtWidgets.QMainWindow()
ui = pingxing.Ui_MainWindow()
ui.setupUi(MainWindow)
MainWindow.show()
sys.exit(app.exec_())
| unix2dos/pygui | main.py | main.py | py | 286 | python | en | code | 1 | github-code | 54 |
41455838876 | import maxcov
import transportation
import unittest
class TestOpeartions(unittest.TestCase):
def test_maxcov(self):
for i in range(1,4):
in_file=f"graph{i}.in"
platoons_in_file = f"platoons{i}.in"
out_file=f"answ{i}.in"
with open(out_file) as f:
... | veruxy/MaxCov-Problem | test_main.py | test_main.py | py | 803 | python | en | code | 0 | github-code | 54 |
73265346723 | import base64
from io import BytesIO
from PIL import Image
from ..help import add_help_item
from userbot.events import register
from userbot.utils.thonkify_dict import thonkifydict
@register(outgoing=True, pattern='.thonk(?: |$)(.*)')
async def thonkify(thonk):
""" Thonkifies the requested text """
textx = ... | darkparky/tg_userbot | userbot/modules/fun/thonk.py | thonk.py | py | 2,328 | python | en | code | 0 | github-code | 54 |
71231847521 | """MiniscopeImagingExtractor class.
Classes
-------
MiniscopeImagingExtractor
An ImagingExtractor for the Miniscope video (.avi) format.
"""
import json
import re
from pathlib import Path
from typing import Optional, Tuple, List
import numpy as np
from ...imagingextractor import ImagingExtractor
from ...multiima... | catalystneuro/roiextractors | src/roiextractors/extractors/miniscopeimagingextractor/miniscopeimagingextractor.py | miniscopeimagingextractor.py | py | 5,718 | python | en | code | 10 | github-code | 54 |
4511833551 | # -*- coding: utf-8 -*-
"""
Created on Fri Aug 12 13:57:23 2022
@author: LDE
"""
import cv2 as cv
import sys
import os
from matplotlib import pyplot as plt
from imutils.perspective import four_point_transform
from imutils import contours
import imutils
import collections
import numpy as np
import graph_utils as Grap... | devantheryl/OCR_detection | OCR_detection.py | OCR_detection.py | py | 10,800 | python | en | code | 0 | github-code | 54 |
30436818839 | """
the next palindrome
you have to take the number from the user you have to find the next palindrom corresponding to that number.your first input should be the number of test cases and then tke all the test cases from the user.
"""
def nextPalindrome(no_of_testcases):
inputs = []
for i in range(0,no_of_te... | masterboy376/Python-tutorial | problem4.py | problem4.py | py | 841 | python | en | code | 0 | github-code | 54 |
37193213832 | from lamson.testing import *
from lamson.mail import MailRequest
from lamson.routing import Router
from webapp import settings as websettings
from config import settings, testing
from webapp.postosaurus.models import *
from nose import with_setup
from app.model import mailinglist, files
from tests.handlers.admin_tests ... | sfioritto/postosaurus-old | tests/handlers/files_tests.py | files_tests.py | py | 4,102 | python | en | code | 1 | github-code | 54 |
14164669837 | from datetime import datetime, timedelta
from jose import JWTError, jwt
from api import schemas
from core.config import settings
def create_access_token(data: dict, expires_delta: timedelta | None = None):
to_encode = data.copy()
if expires_delta:
expire = datetime.utcnow() + expires_delta
else:... | AkosKappel/MTAA-backend | api/JWT.py | JWT.py | py | 969 | python | en | code | 0 | github-code | 54 |
33879596445 | from django.urls import path
from schemas import views
app_name = "schemas"
urlpatterns = [
path('', views.home, name='home'),
path('schemas/', views.list_all_schemas, name='list_all_schemas'),
path('schemas/create/', views.create_schema, name='create_schema'),
path('schemas/view/<int:pk>', views.vie... | ShirinovAdil/FakeCSV | schemas/urls.py | urls.py | py | 738 | python | en | code | 0 | github-code | 54 |
27743141476 | from django import forms
# class ContractForm(forms.Form):
# subject = forms.CharField(max_length=100)
# message = forms.CharField(widget=forms.Textarea)
# sender = forms.EmailField()
# cc_myself = forms.BooleanField(required=False)
#
#
class ContactForm(forms.Form):
name = forms.CharField(max_l... | pchab2458/dj_html_examples | my_app/forms.py | forms.py | py | 3,381 | python | en | code | 0 | github-code | 54 |
24547674338 | #Importing the Libraries
import numpy as np
import pandas as pd
import seaborn as sns
import plotly as py
import matplotlib.pyplot as plt
import plotly.graph_objs as go
from sklearn.preprocessing import LabelEncoder # For Label Encoding
from sklearn.cluster import KMeans # For K-means Algorithm
from sklearn.cl... | pundriks3103/Customer-Segmentation-using-Clustering | complete_code.py | complete_code.py | py | 2,029 | python | en | code | 0 | github-code | 54 |
12604020665 | """A collection of utility function."""
from copy import deepcopy
def networkx2struct(graph):
"""Converts a networkX graph to a primitive dictionary with the
necessary information for protocop-ui
"""
return {'nodes': [nodeStruct(node) for node in graph.nodes(data=True)],
'edges': [edgeS... | covartech/protocop-rank | python/queryManipulation.py | queryManipulation.py | py | 2,240 | python | en | code | 0 | github-code | 54 |
37363288951 | from django.shortcuts import render
from django.http import HttpResponse
from django.views.generic import View, TemplateView
from .forms import *
from .models import *
# Create your views here.
class MelodyIndexView(View):
def get(self, request):
return render(request, 'melody/index.html')
class MelodyDashboardVie... | paradoxials/Melody-Web | Project/melody/views.py | views.py | py | 2,120 | python | en | code | 0 | github-code | 54 |
22705699532 | import pygame
import os
import sys
import time
pygame.init()
wnWidth = 520
wnHeight = 480
wnColor = (30, 30, 30)
wnTitle = "X-O mega"
wn = pygame.display.set_mode((wnWidth, wnHeight))
pygame.display.set_caption(wnTitle)
blueMouse = pygame.image.load("BlueMouse.png")
redMouse = pygame.image.load("RedMouse.png")
p... | BuT4n0s/Ultimate-Tic_Tac_Toe- | code/x_o-mega.py | x_o-mega.py | py | 14,896 | python | en | code | 0 | github-code | 54 |
4832295873 | # solved cherry pick up 2 first so i feel 2 was more 1 and 1 is more 2
# the logic is hard to come up with
#the monopoly of this logic is if we keep moveing two robots from [0][0]
#we will for sure reach the end in the same time
#also the logic to start both the robots at the same time.
def cherryPickup(self, arr: List... | Bidipto/DSApedia | Leetcode/DP/[IMP]CherryPickup.py | [IMP]CherryPickup.py | py | 1,619 | python | en | code | 0 | github-code | 54 |
73863953442 | # -*- coding:utf-8 -*-
# Engine module: chaining gadgets and building ropchains
from ropgenerator.semantic.ROPChains import ROPChain, validAddrStr
from ropgenerator.Database import QueryType, DBSearch, DBPossibleInc, DBPossiblePopOffsets, REGList, DBPossibleMemWrites
from ropgenerator.Constraints import Chainable, Re... | xubenji/csapp | attacklab03/target1/venv/lib/python2.7/site-packages/ropgenerator-1.2-py2.7.egg/ropgenerator/semantic/Engine.py | Engine.py | py | 41,052 | python | en | code | 1 | github-code | 54 |
3596429112 | import uuid
from msrest.pipeline import ClientRawResponse
from .. import models
class WorkspacesOperations(object):
"""WorkspacesOperations operations.
:param client: Client for service requests.
:param config: Configuration of service client.
:param serializer: An object model serializer.
:para... | Azure/azure-sdk-for-python | sdk/powerbiembedded/azure-mgmt-powerbiembedded/azure/mgmt/powerbiembedded/operations/workspaces_operations.py | workspaces_operations.py | py | 4,213 | python | en | code | 3,916 | github-code | 54 |
11806263443 | #Altere o programa anterior para mostrar no final a soma dos números.
n1 = int(input("Digite o primeiro número: "))
n2 = int(input("Digite o segundo número: "))
soma = 0
if ((n1+1) < n2):
m = n1
M = n2
n1 = n1+1
while (n1 < n2):
soma += n1
print(n1)
n1 = n1+1
print("A s... | renitro/Python | Estruturas de Repetição/Exerc11.py | Exerc11.py | py | 651 | python | pt | code | 0 | github-code | 54 |
71177436323 | """
@author: Andres Fernando Guaca
"""
import datos as dt
import seleccion_variables as sv
import pandas as pd
import h2o
def prueba_modelos_ensamble(mod,train):
modelos=[]
semilla=[]
T_PRO=[]
for s in [431, 181,754,902,954,806, 400, 562, 552, 431]:
splits = train.split_frame(ratios=[0.7], se... | andres0743183/Trading-algoritmico | ensamble_modelos.py | ensamble_modelos.py | py | 6,074 | python | en | code | 1 | github-code | 54 |
74543400160 | import random
import cv2
import numpy as np
import os
from copy import deepcopy
import matplotlib.pyplot as plt
from collections import Counter
def get_histogram(array):
arr = np.array(array)
vec = arr.flatten()
count = Counter(vec)
total_pixels = np.sum(list(count.values()))
n_k = []
for i in... | chapnitsky/Image-Processing | cleaning_derivative.py | cleaning_derivative.py | py | 7,269 | python | en | code | 0 | github-code | 54 |
12594678169 | import os
def create_file_if_not_exists(file):
if not os.path.exists(file):
open(file, 'w+')
def get_temp_folder():
# define the name of the directory to be created
return os.path.join(os.getcwd(), 'tmp')
def check_temp_folder():
path = get_temp_folder()
try:
os.mkdir(path)
... | 380sq/minim | lib/helpers.py | helpers.py | py | 515 | python | en | code | 0 | github-code | 54 |
16389324110 | # 4. Search
# You will receive a number n and a word.
# On the next n lines you will be given some strings.
# You should add them in a list and print them.
# After that you should filter out only the strings that include the given word and print that list too.
n = int(input())
word = input()
list_one = []
l... | BogomilaKatsarska/Programming-Fundamentals-with-Python-SoftUni | Lists Basics - L1Q4.py | Lists Basics - L1Q4.py | py | 518 | python | en | code | 0 | github-code | 54 |
31950228980 | import re
import os
import sys
this = sys.modules[__name__]
serialRegEx = re.compile(' serial=[0-9]+')
active = False
mySerial = ''
returnSerial = ''
waitForReturn = False
myHandle = ''
insideReturn = False
lightsAreOn = False
lightsMayBeOn = True
def handle_line(line, joinCommand, leaveCommand):
if line.start... | lfrenzel-os/zoom-client-events | meeting.py | meeting.py | py | 1,883 | python | en | code | 0 | github-code | 54 |
73181791843 | def credit_check(string):
credit_numbers = to_list(string) # converts string to list of digits
two_list = times_two(credit_numbers) # doubles each digit in list
final_list = sum_gt_9(two_list) # numbers > 9 sum of its own digits
sum = sum_all(final_list) # get sum of numbers in list
if sum % 1... | ConnorDBurge/CP-Prep-Work | challenges/credit-check/python/credit_check.py | credit_check.py | py | 1,274 | python | en | code | 0 | github-code | 54 |
21856342794 | """Support for incandescent wings in OPP."""
import logging
from mpf.platforms.interfaces.light_platform_interface import LightPlatformSoftwareFade
from mpf.platforms.opp.opp_rs232_intf import OppRs232Intf
class OPPIncandCard:
"""An incandescent wing card."""
__slots__ = ["log", "addr", "chain_serial", "o... | OctaPinball/World-of-Warships-pinball | _dev_env/Python36/Lib/site-packages/mpf/platforms/opp/opp_incand.py | opp_incand.py | py | 3,083 | python | en | code | 2 | github-code | 54 |
18113444637 |
from aocd.models import Puzzle
import numpy as np
import re
puzzle = Puzzle(year=2021, day=13)
puzldat = [val for val in puzzle.input_data.splitlines()]
testdat = [
'6,10',
'0,14',
'9,10',
'0,3',
'10,4',
'4,11',
'6,0',
'6,12',
'4,1',
'0,13',
'10,12',
'3,4',
'3,0',
'8,4',
'1,10',
'2,14',
'8,10',
'9,0',
'',
'fold alon... | rky-w/aoc-2021 | aoc-2021-13.py | aoc-2021-13.py | py | 1,635 | python | en | code | 0 | github-code | 54 |
23221921419 | import requests
import gi
gi.require_version('Gtk', '3.0')
from gi.repository import Gtk, GLib
gi.require_version('AppIndicator3', '0.1')
from gi.repository import AppIndicator3 as appindicator
import datetime
import webbrowser
import os
from pkg_resources import resource_filename
APPINDICATOR_ID = 'Coronabar'
file... | duarteocarmo/coronabar | Ubuntu/app.py | app.py | py | 4,934 | python | en | code | 38 | github-code | 54 |
42936412249 | import asyncpg
import asyncio
from util.db_create_statements import COLOR_INSERT, CREATE_BRAND_TABLE, CREATE_PRODUCT_COLOR_TABLE, CREATE_PRODUCT_SIZE_TABLE, CREATE_PRODUCT_TABLE, CREATE_SKU_TABLE, SIZE_INSERT
async def main():
connection = await asyncpg.connect(host="127.0.0.1",
... | KolesnikIvan/async_repo | listing5_1.py | listing5_1.py | py | 1,168 | python | en | code | 0 | github-code | 54 |
40532630871 | #!/usr/bin/env python3
""" websitepuller.py - pull data for *each* item - Ebay, Lyft or Craiglist
- This script is a library for lookup on Ebay, CraigList and Lyft
- This script requires the requests BeautifulSoup module and geopy
- This file is meant to be imported as a module.
"""
import re
import sys
import json... | ShouldIPickItUp/ShouldIPickItUp | lib/websitepuller.py | websitepuller.py | py | 4,881 | python | en | code | 0 | github-code | 54 |
30236247060 | # -*- coding: utf-8 -*-
"""
Created on Mon Jan 13 21:03:34 2020
@author: Sylwek Szewczyk
"""
import requests
from bs4 import BeautifulSoup
import pandas as pd
import time, pickle
class PrzepisyPl:
def __init__(self, www):
self.www = www
def parse(self):
database_input = {}
... | SylwekSzewczyk/Data-for-recipes-project | PrzepisyPl_crawler.py | PrzepisyPl_crawler.py | py | 4,970 | python | en | code | 0 | github-code | 54 |
71699906082 | from tkinter import*
import time
import datetime
from playsound import playsound
def reminder():
timebreak=0
while True:
## now_time=datetime.datetime.now().second
now_time=datetime.datetime.strftime(datetime.datetime.now(),'%S')
if timebreak !=now_time:
playso... | anshu0157/python-projects | reminder and digital clock/digitalclock.py | digitalclock.py | py | 820 | python | en | code | 0 | github-code | 54 |
22114873375 | import gtk
import os
import platform
import stat
import subprocess
import urllib
from cmislib.model import *
class ToolBar():
"""
Toolbar class
"""
def __init__(self,app):
menu = gtk.Menu()
self.app=app
self.toolbar = gtk.Toolbar()
self.upButto... | joosth/cmisnavigator | src/toolbar.py | toolbar.py | py | 2,007 | python | en | code | 4 | github-code | 54 |
19407275393 | from re import search
#Digital Marketing Tool using API
import requests #requests is used to send HTTP request
import pandas as pd #it is used to representdata data in tabular form
import json #for data representation during transmission
from datetime import date,timedelta #this is used to manage dat... | Hackveda/PythonInternsCodeSubmission | Niraj Somwani/GoogleAPI.py | GoogleAPI.py | py | 2,024 | python | en | code | 0 | github-code | 54 |
3369950000 | """Simulated Annealing Algorithm for Minimization."""
from threading import Thread as _Thread, Event as _Event
import numpy as _np
class SimulAnneal:
"""."""
# NOTE: objects with threading.Event cannot be serialized with pickle
def __init__(self, save=False, use_thread=True):
"""."""
se... | lnls-fac/apsuite | apsuite/optimization/simulated_annealing.py | simulated_annealing.py | py | 9,599 | python | en | code | 0 | github-code | 54 |
3586328162 | from typing import TYPE_CHECKING
from msrest import Serializer
from azure.core.exceptions import ClientAuthenticationError, HttpResponseError, ResourceExistsError, ResourceNotFoundError, map_error
from azure.core.pipeline import PipelineResponse
from azure.core.pipeline.transport import HttpResponse
from azure.core.r... | Azure/azure-sdk-for-python | sdk/monitor/azure-monitor-opentelemetry-exporter/azure/monitor/opentelemetry/exporter/_generated/operations/_azure_monitor_client_operations.py | _azure_monitor_client_operations.py | py | 4,621 | python | en | code | 3,916 | github-code | 54 |
26155005962 | import speech_recognition as sr
import pyttsx3
import pywhatkit
import datetime
import wikipedia
import pyjokes
import openpyxl
import pyaudio
import nltk
import warnings
from nltk.tokenize import word_tokenize
import nltk
# from newspaper import Article
import string
import random
from sklearn.feature_extraction.text ... | hasibulkabiremon/virtual-family-member | main.py | main.py | py | 9,183 | python | en | code | 0 | github-code | 54 |
25832934882 | import torch
from torch import nn
import gym
import numpy as np
class DistributionDict(object):
def __init__(self,distributions):
self.distributions=distributions
def sample(self):
x={k:self.distributions[k].sample() for k in self.distributions}
#x={k:x[k]*2-1 if isinstance(self.distributions[k],BetaD... | olemeyer/pyforce | pyforce/nn/action/action_mapper.py | action_mapper.py | py | 2,692 | python | en | code | 3 | github-code | 54 |
31126884411 | import mxnet as mx
from mxnet import nd, autograd
from test_utils.metrics import accuracy
class MyTrainer(mx.gluon.Trainer):
def __init__(self, net=None, train_data_iter=None, val_data_iter=None, loss=None, ckpt_name='ckpt',
ctx=mx.gpu(0), decay_epochs=10, do_ckpt_epochs=1, **kwargs):
""... | wuwuwuxxx/MLxxx | train_utils/mytrainer.py | mytrainer.py | py | 3,456 | python | en | code | 1 | github-code | 54 |
34009310867 | # -*- coding: utf-8 -*-
"""
Created on Thu Oct 29 13:56:19 2020
This python file contains functions to plot the figures displayed in
"Multiscale communication in cortico-cortical networks".
@author: Vincent Bazinet
"""
import os
import bct
import tqdm
import numpy as np
import matplotlib
import matplotlib.pyplot as ... | netneurolab/bazinet_multiscale | figures.py | figures.py | py | 41,888 | python | en | code | 1 | github-code | 54 |
72228090402 | from util import *
# Add your import statements here
import nltk
from textblob import TextBlob
from spellchecker import SpellChecker
spell_checker = SpellChecker()
class SpellCorrection():
def usingTextBlob(self, text):
spellCheckedText = []
for each_sentence in text:
spellCheckedSentence =... | wigglytuff-tu/NLP_Project | spellCorrection.py | spellCorrection.py | py | 1,004 | python | en | code | 0 | github-code | 54 |
14061037646 | # coding:utf-8
import os
from flask import Flask, request, redirect, url_for, render_template, flash, send_from_directory
from werkzeug.utils import secure_filename
from keras.models import Sequential, load_model
from keras.preprocessing import image
import tensorflow as tf
import numpy as np
import cv2
from P... | ari0123-create/prisonbreakapp | main.py | main.py | py | 5,485 | python | ja | code | 0 | github-code | 54 |
12762612177 | from obsidian import Canvas, Group, EQ
from obsidian.geometry import Circle, Rectangle, Point
SQRT_2 = 2**0.5
WIDTH = HEIGHT = 300
CIRCLE_STYLE = {"stroke": "#0000ff", "fill_opacity": "0"}
RECT_STYLE = {"stroke": "#ff0000", "fill_opacity": "0"}
circle = Circle(style=CIRCLE_STYLE)
square = Rectangle(style=RECT_STYLE... | wootfish/obsidian | examples/circle_and_square.py | circle_and_square.py | py | 663 | python | en | code | 7 | github-code | 54 |
13428223158 | ######IMPORTS
import os
import glob
from xmlrpc.client import boolean
import tqdm
import math
import torch
import numpy as np
import dill as pkl
from PIL import Image
from tqdm import tqdm
from PIL import ImageStat
import matplotlib as plt
from torchvision import transforms
from torch.utils.data import DataLoader
#####... | j-tobias/Pixel-Inpainting | utils.py | utils.py | py | 15,364 | python | en | code | 1 | github-code | 54 |
40920020396 | #!/usr/bin/python3
"""a Python script"""
import urllib.error
import urllib.request
import sys
if __name__ == "__main__":
url = sys.argv[1]
try:
with urllib.request.urlopen(url) as response:
the_page = response.read().decode('utf-8')
print(the_page)
except urllib.error.HTT... | Aminat27/alx-higher_level_programming | 0x11-python-network_1/3-error_code.py | 3-error_code.py | py | 372 | python | en | code | 0 | github-code | 54 |
8045603028 | import cv2
import time
cap = cv2.VideoCapture('C:/Users/Lukas/Desktop/commaai-speed-challenge/data/test.mp4')
f = open("C:/Users/Lukas/Desktop/commaai-speed-challenge/data/test.txt", "r")
while(cap.isOpened()):
ret, frame = cap.read()
font = cv2.FONT_HERSHEY_SIMPLEX
caption = "Speed: "+ f.readl... | lukaspetersson/commaai-speed-challenge | caption.py | caption.py | py | 691 | python | en | code | 0 | github-code | 54 |
24144623638 | # Resevoir sampler, will keep only a fixed number of data and delete data if it sees more
# Followed by the test function
from util import O
import random as rand
import math
class Sample:
def __init__(self, max=512):
# ---Why the default of 512 in Lean.sample.max
# ---Where is Lean.sample.max com... | reCursedd/NC_FSS | w3/sample.py | sample.py | py | 2,119 | python | en | code | 0 | github-code | 54 |
3586780082 | import unittest
from opentelemetry.instrumentation.fastapi import (
FastAPIInstrumentor,
)
class TestFastApiInstrumentation(unittest.TestCase):
def test_instrument(self):
excluded_urls = "client/.*/info,healthcheck"
try:
FastAPIInstrumentor().instrument(excluded_urls=excluded_urls... | Azure/azure-sdk-for-python | sdk/monitor/azure-monitor-opentelemetry/tests/instrumentation/test_fastapi.py | test_fastapi.py | py | 542 | python | en | code | 3,916 | github-code | 54 |
69995435362 | # -*- coding: utf-8 -*-
"""Unit tests for `shist` module
"""
import os
import tempfile
import unittest
import pyssub.shist
class TestSHist(unittest.TestCase):
"""Test case for Slurm job history
Generate an arbitrary mapping of job names to job IDs, save it to
disk, load it again, and check for equalit... | kkrings/pyssub | tests/test_shist.py | test_shist.py | py | 1,477 | python | en | code | 3 | github-code | 54 |
19417163902 | # Definition for singly-linked list.
# class ListNode:
# def __init__(self, val=0, next=None):
# self.val = val
# self.next = next
class Solution:
def middleNode(self, head: Optional[ListNode]) -> Optional[ListNode]:
lenll = 0
headtemp = head
while headtemp:
l... | ujsolon/Leetcode | 876-middle-of-the-linked-list/876-middle-of-the-linked-list.py | 876-middle-of-the-linked-list.py | py | 655 | python | en | code | 0 | github-code | 54 |
70561552161 | #!/usr/bin/python3
# -*- coding: utf-8 -*-
"""
@Time : 2019-05-19 15:53
@Author : Wang Xin
@Email : wangxin_buaa@163.com
@File : __init__.py.py
"""
def create_loader(args, mode='train'):
# Data loading code
print('=> creating ', mode, ' loader ...')
import os
from dataloaders.path import Path... | dontLoveBugs/CSPN_monodepth | dataloaders/nyu_dataloader/__init__.py | __init__.py | py | 2,573 | python | en | code | 66 | github-code | 54 |
18545160048 | import torch
import torch.nn.parallel
import util
import numpy as np
import matplotlib.image
from dataset import DataGenerator
from fast_depth import MobileNetSkipAdd
import warnings
from numba import cuda
device = cuda.get_current_device()
device.reset()
warnings.filterwarnings('ignore')
matplotlib.rcParam... | PouyaNF/Supervised-monocular-depth-estimation---kitti | test.py | test.py | py | 3,866 | python | en | code | 0 | github-code | 54 |
16763911927 | '''
Chuong trinh nay chay khong dung. Can xem lai
'''
import pyzbar.pyzbar as zbar
import os,cv2,sys
import numpy as np
import matplotlib.pyplot as plt
os.chdir("C:\\Projects\\python\\imgProcessing")
img = cv2.imread(os.getcwd() +'\\imgs\\code3.jpg')
gray_img = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
gradX = cv2.Sobel(g... | truongtronghai/My-pyZbar | barcodeWithPyzbar_bad_version.pyw | barcodeWithPyzbar_bad_version.pyw | pyw | 2,013 | python | en | code | 0 | github-code | 54 |
19653918802 | import pandas as pd
import numpy as np
# Read input file
def read():
input = pd.read_csv("./inputs/day2.txt",
sep = "x",
engine = "pyarrow",
header=None)
input.columns = ["l","w","h"]
## To check dataframe state
# print(input.hea... | jtrangel/advent_of_code | src/2015/day2.py | day2.py | py | 1,827 | python | en | code | 0 | github-code | 54 |
42785099746 | from keras.models import Sequential
from keras.layers import Dense,Conv2D,MaxPool2D,Flatten
from create_label import x_train,x_test,y_train,y_test
from keras import optimizers
LR = 0.001
#creat model
model = Sequential()
#convolutional layer
model.add(Conv2D(filters=64,kernel_size=(3,3),padding="valid",in... | fit1999123/Deep_learning | final_project/cnn.py | cnn.py | py | 1,214 | python | en | code | 0 | github-code | 54 |
14697203752 | import turtle
'''
w=turtle.Screen()
w.bgcolor("pink")
w.title("HEllo")
w.bgpic("m3.gif")
t=turtle.Turtle()
t.forward(100)
t.backward(100)
t.reset()
#help(turtle.hideturtle())
t.hideturtle()
t.circle(100)
t.circle(100,180)
t.circle(radius=100,steps=3)
t.forward(100)
t.circle(100,steps=7)
help(turtle.hom... | shivam-2002/JAVA | a.py | a.py | py | 953 | python | en | code | 0 | github-code | 54 |
30347306274 | import sys
sys.stdin = open('2303.txt', 'r')
N = int(input())
max_of_all = 0
max_idx = -1
for stu_idx in range(N):
nums = list(map(int, input().split()))
# print(nums)
stu_max = 0
for i in range(3):
for j in range(i + 1, 4):
for k in range(j + 1, 5):
# stu_sum = sum(... | egyeasy/TIL_public | baekjoon/2303.py | 2303.py | py | 761 | python | en | code | 0 | github-code | 54 |
30722607063 | """
def squeare_numbers(nums):
result = []
for i in nums:
result.append(i*i)
return result
"""
import sys
# Turning this function to a Generator
# generators DO NOT hold the whole output in memory, but yield one restul at the time
def squeare_numbers(nums):
for i in nums:
yield (i*i)
... | Spawnfile/PythonExercises | Plain Python/generators.py | generators.py | py | 650 | python | en | code | 0 | github-code | 54 |
72146268000 | from heapq import nlargest
from linkedin.mobster.utils import memoize
class CSSProfileParser(object):
"""
Parses CSS selector profile data and extracts important features
"""
def __init__(self, css_selector_data):
"""
Format of the css selector data:
{
"totalTime": [total processing ... | LinkedInAttic/mobster | src/linkedin/mobster/har/css.py | css.py | py | 2,151 | python | en | code | 38 | github-code | 54 |
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