seq_id string | text string | repo_name string | sub_path string | file_name string | file_ext string | file_size_in_byte int64 | program_lang string | lang string | doc_type string | stars int64 | dataset string | pt string | api list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
34825925053 | # todo: add hash sum to judge solution file name on web-app side cuz it can break everything
import os
import shutil
import subprocess
from typing import List
import source.models
from .service import sequence_to_dict
from .static import *
from .config import BUILD_SOURCE_MAX_TIME, SQL_GET_TASK_ATTRIBUTE, SQL_GET_C... | TolimanStaR/AtomicJudge | source/task_manager.py | task_manager.py | py | 24,126 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "source.models.models",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "source.models",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "os.getcwd",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "source.models.model... |
27773611300 | import requests
import os
from telepyrobot.setclient import TelePyroBot
from pyrogram import filters
from pyrogram.types import Message
from telepyrobot import COMMAND_HAND_LER
__PLUGIN__ = os.path.basename(__file__.replace(".py", ""))
__help__ = f"""
Url Shortner Plugin for https://da.gd
**Usage:**
`{COMMAND_HAND_L... | Divkix/TelePyroBot | telepyrobot/plugins/url_shortner.py | url_shortner.py | py | 1,615 | python | en | code | 40 | github-code | 6 | [
{
"api_name": "os.path.basename",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "telepyrobot.COMMAND_HAND_LER",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "telepyrobot.... |
8829027988 | ########################################################
# Rodrigo Leite - drigols #
# Last update: 21/09/2021 #
########################################################
def OLS(dic):
from matplotlib import pyplot as plt
import pandas as pd
df =... | drigols/studies | modules/ai-codes/modules/linear-regression/src/students_ols_bestLineFit.py | students_ols_bestLineFit.py | py | 1,511 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.DataFrame",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "matplotli... |
41745621937 | import os
import sqlite3
from bs4 import BeautifulSoup
def scan_folder(parentfile, diff):
for file_name in os.listdir(parentfile):
if "_" in file_name:
diff = eachfile(file_name, parentfile, diff)
else:
current_path = "".join((parentfile, "/", file_na... | 22650684/Webscraping-Project | testing/dbMatchFile.py | dbMatchFile.py | py | 3,089 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.listdir",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path.isdir",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "sqlite3.connect",
"line_numb... |
73118020027 | import os
import torch
import matplotlib.pyplot as plt
from config.config import cfg
def get_supports(m):
"""
Returns the number of samples and the percentage of support for each activity in the ground truth data of a given dataset.
Args:
- m (str): the name of the dataset
Returns:
- support... | Vito-Scaraggi/mpgnnap | data_info.py | data_info.py | py | 3,704 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "config.config.cfg",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "torch.load",
"line_nu... |
1883485650 | import sys
import os
import pefile
# Imprime as seções de um executável
def print_sections(directory, executable):
pe = pefile.PE(executable if directory is None else directory + "/" + executable)
sections = []
for section in pe.sections:
sections.append(section.Name.decode('utf-8'))
print(e... | kkatzer/CDadosSeg | T2/Parte2/T2P2a.py | T2P2a.py | py | 791 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pefile.PE",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path.isdir",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 23,... |
19773909067 | # -*- coding: utf-8 -*-
"""
IBEIS CORE
Defines the core dependency cache supported by the image analysis api
Extracts annotation chips from imaages and applies optional image
normalizations.
TODO:
* interactive callback functions
* detection interface
* identification interface
NOTES:
HOW TO DESI... | smenon8/ibeis | ibeis/core_annots.py | core_annots.py | py | 57,012 | python | en | code | null | github-code | 6 | [
{
"api_name": "utool.inject2",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "ibeis.control.controller_inject.register_preprocs",
"line_number": 62,
"usage_type": "name"
},
{
"api_name": "ibeis.control.controller_inject.register_subprops",
"line_number": 63,
"u... |
19314688451 | # -*- coding: utf-8 -*-
'''
A module for startup settings
'''
from __future__ import absolute_import
import logging
import os.path
import sys
from requests.structures import CaseInsensitiveDict # pylint: disable=import-error,3rd-party-local-module-not-gated
# Import local libs
# This file may be loaded out of ... | BKnight760/ubuntu-systemlink-salt-minion | var/lib/salt/minion/extmods/modules/startup_settings.py | startup_settings.py | py | 6,757 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "os.path.path.dirname",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path.path",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "os.path",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "os.path.path.dirname",... |
36525273442 | """Parser object that performs coarse-to-fine and postprocessing.
Additionally, a simple command line interface similar to bitpar."""
from __future__ import print_function
import io
import os
import re
import sys
import time
import gzip
import codecs
import logging
import tempfile
import traceback
import string # pyl... | pombredanne/disco-dop | discodop/parser.py | parser.py | py | 27,717 | python | en | code | null | github-code | 6 | [
{
"api_name": "sys.version",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 72,
"usage_type": "attribute"
},
{
"api_name": "discodop.treebank.WRITERS",
"line_number": 72,
"usage_type": "argument"
},
{
"api_name": "getopt.g... |
36935275213 | # this is focused on speed
# it may not run everything
import pathlib
import numpy as np
from tinygrad.ops import MovementOps, ProcessingOps
from tinygrad.llops.ops_gpu import require_init_gpu, clbuild, get_cl_queue, get_cl_ctx
from tinygrad.llops.ops_gpu import contiguous
from tinygrad.llops.ops_gpu import unary_op a... | henrylao/tinygrad | accel/opencl/ops_opencl.py | ops_opencl.py | py | 5,655 | python | en | code | null | github-code | 6 | [
{
"api_name": "tinygrad.llops.ops_gpu.require_init_gpu",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "tinygrad.shapetracker.ShapeTracker",
"line_number": 20,
"usage_type": "argument"
},
{
"api_name": "copy.deepcopy",
"line_number": 20,
"usage_type": "call"
... |
74436640828 | import glob
import numpy as np
import pandas as pd
import nibabel as nib
import torch
from torch.utils.data import Dataset
# dataset class for the GenericObjectDecoding dataset
class GODData(Dataset):
FEATURES_PATH = "data/ds001246/derivatives/preproc-spm/output"
TARGETS_PATH = "data/ds001246"
TRAIN_CATEG... | v15hv4/ViT-fMRI | dataOLD.py | dataOLD.py | py | 2,614 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "glob.glob",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"l... |
37256463861 | import torch
import torch.nn as nn
from torch.utils import data
from torch.optim import Adam, SGD
from tensorboardX import SummaryWriter
from tqdm import trange
from datetime import datetime
import argparse
from dataset import LoadADHD200
from model import SpatialActivation
def train(lr=0.001, device='cuda', epochs=1... | WhatAboutMyStar/SCAAE | train.py | train.py | py | 3,360 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "model.SpatialActivation",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torch.load",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "torch.nn.DataParallel",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "torch.nn",
... |
7897642460 | import pygsheets
def init(secret_path, sheet_name): # Получение нужной таблицы
gc = pygsheets.authorize(client_secret=secret_path)
sh = gc.open(sheet_name)
wks = sh.sheet1
return wks
def get_all_table_data(wks): # Получение всех данных с таблицы
data_list = []
for row in wks.get_al... | FMaslina/gsheets | gsheets_integration.py | gsheets_integration.py | py | 1,302 | python | ru | code | 0 | github-code | 6 | [
{
"api_name": "pygsheets.authorize",
"line_number": 5,
"usage_type": "call"
}
] |
38254642090 | from django.test import TestCase
from hknweb.candidate.tests.models.utils import ModelFactory
class DuePaymentRequirementModelTests(TestCase):
def setUp(self):
semester = ModelFactory.create_semester(
semester="Spring",
year=0,
)
duepayment = ModelFactory.create_du... | Gabe-Mitnick/hknweb | hknweb/candidate/tests/models/requirements/payment/test_due_payment.py | test_due_payment.py | py | 649 | python | en | code | null | github-code | 6 | [
{
"api_name": "django.test.TestCase",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "hknweb.candidate.tests.models.utils.ModelFactory.create_semester",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "hknweb.candidate.tests.models.utils.ModelFactory",
"line_... |
17972375760 | import dash
from dash import Dash, html, Output, Input, dcc, callback
import dash_bootstrap_components as dbc
import pandas as pd
import plotly.express as px
import dash_ag_grid as dag
app = dash.Dash(__name__, external_stylesheets=[dbc.themes.LUX], suppress_callback_exceptions=True,
meta_tags=[{'name': 'viewport',... | Natcha-Phonkamhaeng/nobel-viz | src/app.py | app.py | py | 6,264 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "dash.Dash",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "dash_bootstrap_components.themes",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_csv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "plotly.... |
7794747310 | from flask import Flask, render_template, request
import mushroom_data as md
import random
app = Flask(__name__)
@app.route('/', methods=['POST', 'GET'])
def main():
if request.method != 'POST':
return render_template('index.html',
cap_shape=md.cap_shape,
... | sharmas1ddharth/Mushroom_Classification | app.py | app.py | py | 4,515 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "flask.render_templ... |
43344955993 | '''
This application service return tracks data to visualisation.
'''
import time
import math
from collections import defaultdict
from twisted.application.service import Service
from twisted.internet import defer
from twisted.python import log
import simplejson as json
__author__ = 'Boris Tsema'
# Select track data... | DmitryLoki/gorynych | gorynych/processor/services/visualization.py | visualization.py | py | 10,219 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "twisted.application.service.Service",
"line_number": 141,
"usage_type": "name"
},
{
"api_name": "twisted.application.service.Service.startService",
"line_number": 149,
"usage_type": "call"
},
{
"api_name": "twisted.application.service.Service",
"line_number": 1... |
30265323373 | import arcade
SPACING = 20
MARGIN = 110
arcade.open_window(400, 400, "Square of diamonds")
arcade.set_background_color(arcade.color.AMARANTH_PINK)
arcade.start_render()
for row in range(10):
for column in range(10):
if (row%2==0 and column%2==0) or (row%2==1 and column%2==1):
x = column * S... | maryamsaeedi17/PyLearningWorks1 | assignment13/drawsquare.py | drawsquare.py | py | 723 | python | en | code | 6 | github-code | 6 | [
{
"api_name": "arcade.open_window",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "arcade.set_background_color",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "arcade.color",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "arcade.... |
32576643958 | from django.shortcuts import render, redirect
from django.contrib.auth import authenticate, login
from django.views.generic import View
from django.http import HttpResponse
from django.contrib.auth.forms import UserCreationForm
from django.contrib.auth.forms import AuthenticationForm
from django.contrib.auth import log... | S4ADO/ADW_Django_A1 | TaskManager/tasks/views.py | views.py | py | 5,269 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.shortcuts.redirect",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "models.Task.objects.filter",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "models.Task.objects",
"line_number": 18,
"usage_type": "attribute"
},
{
"api... |
13109904746 | import pandas as pd
import yfinance as yf
import json
#csv_list = pd.read_csv('japan_all_stock.csv')
success_list = []
for num in range(1301, 10000):
try:
stock_data = yf.download(f'{num}.T', period = '1d', interval='1d')
success_list.append(f'{num}.T')
except:
continue
with open('jap... | 39xdgy/Playground_py | japan_stock_data.py | japan_stock_data.py | py | 404 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "yfinance.download",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 15,
"usage_type": "call"
}
] |
27125372338 | import logging
from datetime import datetime
import smtplib
from notifications import *
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
from db.client import db_create_close, r
logging.config.fileConfig('/opt/TopPatch/conf/logging.config')
logger = logging.getLogger('rvapi')
@d... | SteelHouseLabs/vFense | tp/src/emailer/mailer.py | mailer.py | py | 10,469 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "logging.config.fileConfig",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "logging.config",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "db.cl... |
45308723306 | import csv
import tqdm
import zoomeye.sdk as zoomeye
import json
import os
# 第一步读取文件
# 获得IP地址
# 使用SDK查询信息
# 保存信息
# 过滤信息
INPUT_FILE_NAME = '../csv/firewall_ip.csv'
# OUTPUT_FILE_NAME = 'csv/result.csv'
def read_csv(ip_list, csv_name):
with open(csv_name) as f:
f_csv = csv.reader(f)
# 获取header
... | Judgegao/bitcoin_data | code/Cyberspace search engine/main.py | main.py | py | 2,283 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "csv.reader",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "zoomeye.sdk.ZoomEye",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "zoomeye.sdk",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "json.dump",
"line_numb... |
26498728774 | import sys
from typing import Set, TextIO, Any, Tuple
from collections import *
from functools import *
from itertools import *
Data = Tuple[Set[Tuple[int, int]], Set[Tuple[int, int]], int, int]
Result = int
def parse_input(buffer: TextIO) -> Data:
east = set()
south = set()
lines = [line.strip() for lin... | arjandepooter/advent-of-code-2021 | python/25/solution.py | solution.py | py | 1,697 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.Tuple",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "typing.Set",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "typing.TextIO",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "sys.stdin.isatty",
"line_numb... |
71522207867 | from django.db import models
class Home(models.Model):
title = models.CharField(max_length = 100)
body = models.TextField()
decriptions = models.TextField(blank=True)
author = models.CharField(max_length = 200,blank=True)
img = models.ImageField(upload_to='posts',blank=True)
created = models.D... | linux-coffee/web | home/models.py | models.py | py | 1,075 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.db.models.Model",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "... |
35525386991 | """
Module containing ports and adapters for forward curve suppliers.
Contains both the abstract interface and concrete implementation.
"""
import abc
import datetime as dt
from typing import Collection
from volfitter.adapters.option_metrics_helpers import create_expiry
from volfitter.adapters.sample_data_loader imp... | docadam78/vf_project | src/volfitter/adapters/forward_curve_supplier.py | forward_curve_supplier.py | py | 2,503 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "abc.ABC",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "typing.Collection",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "abc.abstractmet... |
8019970208 | import json
from server.nordic import COMMANDS
import static.app.instructions.translations as tr
# from static.app.instructions.translations import _yes
from static.app.instructions.helpers import TXT, NumberedText
class NextPrevious:
def __init__(self, button_text, goto, active):
self.caption = button... | sander76/nordic | static/app/instructions/components.py | components.py | py | 8,161 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "server.nordic.COMMANDS.keys",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "server.nordic.COMMANDS",
"line_number": 46,
"usage_type": "name"
},
{
"api_name": "server.nordic.COMMANDS.keys",
"line_number": 49,
"usage_type": "call"
},
{
"ap... |
10251263267 | import collections
import random
import sys
from os import path as osp
import json
import pandas as pd
from fol import beta_query_v2
from fol.foq_v2 import parse_formula
from utils.util import read_indexing, load_graph, load_data_with_indexing
sys.path.append(osp.dirname(osp.dirname(__file__)))
stanford_data_path = 'da... | HKUST-KnowComp/EFO-1-QA-benchmark | fol/test_foq_v2.py | test_foq_v2.py | py | 6,319 | python | en | code | 17 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_num... |
4552159327 | import random
import sys
sys.path.insert(1, '../')
from utils import read_instance, objetive_function, corrent_solution_size
import config
# Heurística Construtiva 02
# Constructive Heuristic 02
# Random para selecionar o teste e calculado a melhor mesa para aplicá-lo
def constructive_heuristic_02(corrent_size):
d... | guilhermelange/Test-Assignment-Problem | stage_01/constructive_heuristic_02.py | constructive_heuristic_02.py | py | 1,701 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.path.insert",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "utils.objetive_function",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "config.desks",
... |
25814086176 | from selenium.webdriver import Firefox
from selenium.webdriver.common.keys import Keys
from selenium.common.exceptions import NoSuchElementException
import pytest
import time
@pytest.mark.needs_server
class TestMaxlifeFeature:
"""
Checks if the maxlife feature is working
"""
def setup_class(self):
... | bepasty/bepasty-server | src/bepasty/tests/test_website.py | test_website.py | py | 4,149 | python | en | code | 162 | github-code | 6 | [
{
"api_name": "selenium.webdriver.Firefox",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.common.keys.Keys.ENTER",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "selenium.webdriver.common.keys.Keys",
"line_number": 26,
"usage... |
32043962015 | # -*- coding: utf-8 -*-
"""
Created on Sat Jan 12 02:46:22 2019
@author: Michael
"""
#importing the necessary libraries
import os
import shutil
from sklearn.preprocessing import LabelBinarizer
from sklearn.model_selection import train_test_split
from sklearn.metrics import classification_report
from kera... | Monarene/CV-Deep-learning-Pracittioner | minivggnet_flower17_data_aug.py | minivggnet_flower17_data_aug.py | py | 3,346 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.listdir",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.makedirs",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "shutil.move",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "imutils.paths.list_images",
"l... |
12894651014 | #!/usr/bin/env python
# coding: utf-8
#
# # Task 1- Prediction using Supervised ML
#
# ### Task: Predict the percentage of a student based on the no. of study hours.
# ## The Sparks Foundation(GRIP), July 2021
# #### By: Rishi Raj Dhar
# In[11]:
#importing the required libraries
import pandas as pd
import num... | Rishirajdhar/griptask1 | GRIP_TASK_1_Student_Scores.py | GRIP_TASK_1_Student_Scores.py | py | 4,112 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "seaborn.scatterplot",
"line_number": 90,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.title",
"line_number": 91,
"usage_type": "call"
},
{
"api_name": "matplotli... |
2615744068 | # topics = ["Таѕ"]
from typing import List
class Solution:
def simplifyPath(self, path: str) -> str:
st: List[str] = []
for s in path.split('/'):
if not s or s == '.':
continue
if s == '..':
if st:
st.pop()
e... | show-me-code/signInHelper-using-face- | algorithms/[71]简化路径/solution.py | solution.py | py | 389 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 8,
"usage_type": "name"
}
] |
20299042800 | """crud URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/3.0/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-based vi... | JairoObregon/django | crud/urls.py | urls.py | py | 1,405 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.urls.path",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin.site",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "... |
27127443756 | """
基于Memoization的递归可以大大提升性能，此时可以自定义一个memorize修饰器
author:Andy
"""
import functools
def memorize(fn):
# 缓存字典
know = dict()
# 为创建修饰器提供便利，保留被修饰函数的__name__和__doc__属性
@functools.wraps(fn)
def memoizer(*args):
# 如果缓存字典中已经存在
if args in know:
return know[args]
# 如果缓存字典中不存在
else:
know[args] = fn(*args)
... | LiUzHiAn/pythonDesignPatterns | decorate_pattern/my_math.py | my_math.py | py | 1,213 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "functools.wraps",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "timeit.Timer",
"line_number": 48,
"usage_type": "call"
}
] |
38905374725 | from torch import Tensor, LongTensor, max
from typing import Dict
from sklearn.metrics import accuracy_score
def compute_metrics(
outputs: Tensor,
labels: LongTensor,
) -> Dict[str, float]:\
metrics = {}
outputs = outputs.cpu()
labels = labels.cpu()
_, pred = max(outputs.data, 1)
y_true ... | Agiratex/histological-image-classification | utils/compute_metrics.py | compute_metrics.py | py | 570 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.Tensor",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "torch.LongTensor",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "torch.max",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.accuracy_score"... |
5975605110 | from . import sql, chunk, rarity_info, BASE_PATH, Page
from datetime import datetime as dt, timedelta as td
from io import BytesIO
from pandas import DataFrame
from PIL import Image
from random import choice, choices, random
import json
import logging
import requests as r
log = logging.getLogger(__name__)
log.setLevel... | austinmh12/DiscordBots | TestBot/test_cogs/pokerouletteFunctions/pokemon.py | pokemon.py | py | 20,054 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "logging.StreamHandler",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "logging.Fo... |
232662350 | import os
import sys
import glob
import subprocess
import glob
from pefile import PE
name = "ReBarDxe"
version = "1.0"
GUID = "a8ee1777-a4f5-4345-9da4-13742084d31e"
shell = sys.platform == "win32"
buildtype = "RELEASE"
def filesub(filep, f, r):
# Read in the file
with open(filep, 'r') as file :
filed... | xCuri0/ReBarUEFI | ReBarDxe/buildffs.py | buildffs.py | py | 2,663 | python | en | code | 562 | github-code | 6 | [
{
"api_name": "sys.platform",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 39,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_nu... |
23944471661 | import json
import pytest
from deepdiff import DeepDiff
from eth_keys.datatypes import PrivateKey
from hexbytes import HexBytes
from jsonschema import ValidationError
from web3 import Web3
from polyswarmtransaction.exceptions import InvalidKeyError, InvalidSignatureError, WrongSignatureError, \
UnsupportedTransac... | polyswarm/polyswarm-transaction | tests/test_transaction.py | test_transaction.py | py | 6,888 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "polyswarmtransaction.transaction.Transaction",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "eth_keys.datatypes.PrivateKey",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "web3.Web3.keccak",
"line_number": 23,
"usage_type": "call"
}... |
25844066272 | """Test Role"""
import unittest
import json
from flask import url_for
from app.test import BaseTest
class RolePermissionTests(BaseTest):
""" Role Permission Test api class """
def test_insert_update_delete(self):
""" insert, update, delete roles permission"""
role_url = url_for('auth.role_r... | ekramulmostafa/ms-auth | app/test/test_role_permission.py | test_role_permission.py | py | 2,795 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "app.test.BaseTest",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "flask.url_for",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "flask.url_for",
"line_n... |
41957074771 | import json
import os
j = None
searchables = {}
path = os.path.dirname(os.path.abspath(__file__))
with open (os.path.join(path, 'fhir_parser/downloads/search-parameters.json'), 'r') as f:
j = json.loads(f.read())
for entry in j['entry']:
resource = entry['resource']
for base in resource['base']:
searchabl... | zensoup/fhirbug | tools/get_searchables.py | get_searchables.py | py | 420 | python | en | code | 14 | github-code | 6 | [
{
"api_name": "os.path.dirname",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_nu... |
23229945677 | from django.contrib import admin
from django.urls import path, include
from django.conf.urls.static import static
from django.conf import settings
admin.site.site_header = "Адмнистрирование TBO Dashboard"
admin.site.site_title = "Адмнистрирование TBO Dashboard"
admin.site.index_title = "TBO Dashboard"
urlpatterns = ... | alldevic/tbo_dash_old | tbo_dash/urls.py | urls.py | py | 875 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.contrib.admin.site",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.contrib.admin.site",
"line_number": 7,
"usage_type": "attribute"
},
{
"a... |
40341366552 | import os
import re
import selenium
from selenium import webdriver
from time import sleep
from openpyxl import load_workbook
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.support.ui import WebDriverWait # Required for explicit wait
from selenium.webdriver.support import expected_conditions as... | Himu1234/web-automation-chandpur | prepaid_token_generation_xlsx.py | prepaid_token_generation_xlsx.py | py | 3,524 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "openpyxl.load_workbook",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"lin... |
25399032626 | import re
from csv import reader
from colorama import init, Fore
# Insert the actual exploits in searchsploit in the database
def update_database(exploit_database, mycursor):
print(Fore.BLUE + "Updating database...")
# Read the CSV to get the basic information
with open('/usr/share/exploitdb/files_exp... | alvaroreinaa/Can-You-EXPLOIT-It | update_database.py | update_database.py | py | 7,870 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "colorama.Fore.BLUE",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "colorama.Fore",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "csv.reader",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "colorama.Fore.GREEN",
... |
20880620842 | #@title Установка модуля РЈРР
from PIL import Image
from pathlib import Path
from tensorflow.keras.preprocessing import image
from tensorflow.keras.layers import Input, Dense, Conv2D, Flatten
from tensorflow.keras.models import Model
from tensorflow.keras.optimizers import Adam
from IPython import disp... | alexfeklin1234/neural_network | yandex_milk_data/yandex_milk.py | yandex_milk.py | py | 26,223 | python | uk | code | 0 | github-code | 6 | [
{
"api_name": "seaborn.set",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "random.seed",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.random.seed",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_nu... |
26632895276 | import pygame
from setting import *
from bullet import Bullet
class Player(pygame.sprite.Sprite):
#初期化（元グループ、初期位置ｘ、初期位置ｙ）
def __init__(self, groups, x, y, enemy_group):
super().__init__(groups)
#敵グループ
self.enemy_group = enemy_group
#画面取得
self.screen = py... | shu0411/training | python/trainingEnv/shooting/player.py | player.py | py | 5,639 | python | ja | code | 0 | github-code | 6 | [
{
"api_name": "pygame.sprite",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "pygame.display.get_surface",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "pyga... |
42060446091 | import pygame as pg
from settings import *
class Bullet(pg.sprite.Sprite):
def __init__(self, groups):
self.groups = groups
pg.sprite.Sprite.__init__(self, self.groups)
class PlayerBullet(Bullet):
def __init__(self, game, x, y):
self.game = game
self.groups = self.game.sprite... | soupss/space-invaders | sprites/bullet.py | bullet.py | py | 2,099 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pygame.sprite",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "pygame.sprite.Sprite.__init__",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pygame.sprite",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pyga... |
21077625640 | import json
import os
import requests
from get_token import GetToken
from log_setup import Logging
from program_data import PDApi
"""
NetApp / SolidFire
CPE
mnode support utility
"""
"""
Package service api calls
https://[mnodeip]/package-repository/1
"""
# set up logging
logmsg = Logging.logmsg()
# disabl... | solidfire/mnode-support-util | api_package_service.py | api_package_service.py | py | 2,719 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "log_setup.Logging.logmsg",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "log_setup.Logging",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "requests.packages.urllib3.disable_warnings",
"line_number": 26,
"usage_type": "call"
},
{
... |
39434540766 | # from sklearn.naive_bayes import MultinomialNB
# from sklearn.naive_bayes import GaussianNB
# from sklearn.cluster import KMeans
import pandas as pd
# from random import shuffle
import numpy as np
import os
# from sklearn.feature_extraction.text import CountVectorizer
# from sklearn.feature_extraction.text import Tfi... | svroo/PNL-Escom | Joder es cine/Modulo/text_proc.py | text_proc.py | py | 3,744 | python | es | code | 0 | github-code | 6 | [
{
"api_name": "nltk.corpus.stopwords.words",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.stopwords",
"line_number": 49,
"usage_type": "name"
},
{
"api_name": "re.sub",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "re.sub",
... |
72283436667 | import requests
import json
match = {
"Date": "21-01-2023",
"Form": "decent",
"Opposition": "tough",
"season": "middle",
"venue": "home",
"Previous match": "0",
"uEFa": "active"
}
#url = 'http://localhost:9696/predict'
url = 'https://klopp-s-liverp-prod-klopp-s-liverpool-hql7qt.mo4.mogeniu... | Blaqadonis/klopps_liverpool | predict_test.py | predict_test.py | py | 416 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.post",
"line_number": 16,
"usage_type": "call"
}
] |
13876656972 | from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from fastapi.encoders import jsonable_encoder
from pydantic import BaseModel
import boto3
import json
app = FastAPI()
origins = [
"https://ai.galaxychain.zone",
"https://galaxychain.zone",
"http://localhost:3000",
"https://... | galaxynetwork/story-ai-supporter | app.py | app.py | py | 2,629 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "fastapi.middleware.cors.CORSMiddleware",
"line_number": 19,
"usage_type": "argument"
},
{
"api_name": "boto3.Session",
"line_number": 27,
"usage_type": "call"
},
{
"api_name"... |
43392192504 | import cv2
import numpy as np
from matplotlib import pyplot as plt
# 模版匹配
img = cv2.imread("fb.png", 0)
img2 = img.copy()
template = cv2.imread("zdbz.png", 0)
w,h = template.shape[::-1]
method = eval("cv2.TM_CCOEFF")
res = cv2.matchTemplate(img2, template ,method)
min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(r... | frebudd/python | 阴阳师副本自动化/副本自动化2.py | 副本自动化2.py | py | 450 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "cv2.imread",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.matchTemplate",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "cv2.minMaxLoc",
"line_numbe... |
35426911515 | #!/usr/bin/python3
import numpy as np
import scipy.integrate
import matplotlib.pyplot as plt
def vdp(t,y):
"""calculate Van Der Pol Derivatives"""
# y is a tuple (y0,y1)
y0dot = y[1]
y1dot = (1-y[0]**2)*y[1]-y[0]
dydt = ( y0dot, y1dot )
return dydt
solution = scipy.integrate.solve_ivp(vdp, t_... | martinaoliver/GTA | ssb/m1a/numeric/Practical_full_solutions_jupyter/python_script_solutions/vanderpol_20191001.py | vanderpol_20191001.py | py | 695 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "scipy.integrate.integrate.solve_ivp",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "scipy.integrate.integrate",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "scipy.integrate",
"line_number": 15,
"usage_type": "name"
},
{
... |
130536507 | import numpy as np
import matplotlib.pyplot as plt
import pyRaven as rav
import emcee
import corner
from scipy.stats import norm
import scipy
from statistics import mode
def fitdata(param,DataPacket,guess):
'''
This function fits a set of LSD profiles using scipy's curve fit function.
Inputs:
param - input... | veropetit/pyRaven | fitparams.py | fitparams.py | py | 10,372 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.log",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "pyRaven.diskint2.analytical",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "pyRaven.diskint2",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_name": "numpy.int... |
24347584300 | # # Categorize all issues
#
# To use: open with jupyter notebook/lab using jupytext and run all cells
# +
from getpass import getpass
from textwrap import dedent
from ipywidgets import Button, ToggleButtons, Output, VBox
from IPython.display import display, Markdown
import gitlab
# -
gl = gitlab.Gitlab(url="https:/... | zesje/zesje | label_issues.py | label_issues.py | py | 2,370 | python | en | code | 9 | github-code | 6 | [
{
"api_name": "gitlab.Gitlab",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "getpass.getpass",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "ipywidgets.Output",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "ipywidgets.ToggleButt... |
508734253 | from itertools import permutations
import cProfile
#
#make permutation of array
#
list = [1,2,3,4]
listPermutations = permutations(list)
for permutation in listPermutations:
print(permutation)
#
#count number of permutations
#
listPermutations = permutations(list)
count = 0
for permutation in listPermu... | sleevs/JSNSecurity | Permutations.py | Permutations.py | py | 695 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "itertools.permutations",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "itertools.permutations",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "cProfile.run",
"line_number": 44,
"usage_type": "call"
}
] |
24794059633 | #!/usr/bin/env python3
#
import sys, argparse
import ROOT
ROOT.PyConfig.IgnoreCommandLineOptions = True
def h2pgf(h):
""" Convert TH1 into pgfplot data with error bars
input: xmin xmax y ey
output: x ex y ey
ex = (xmax+xmin)/2
"""
nbins = h.GetNbinsX()
# print("# \\begin{axis}")
# print... | kbat/mc-tools | mctools/common/root2pgf.py | root2pgf.py | py | 1,629 | python | en | code | 38 | github-code | 6 | [
{
"api_name": "ROOT.PyConfig",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "ROOT.TFile",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"... |
74514085946 | #!/usr/bin/env python3
from __future__ import print_function
from __future__ import division
# System level imports
import sys
import os
import argparse
import logging
import time
import math
import numpy as np
import matplotlib.pyplot as plt
from numpy.core.defchararray import index
import controller2d
#import contro... | AlfonsoCom/AVD_BP | main.py | main.py | py | 80,582 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_num... |
26401762339 | # %%
import plotly.express as px
import plotly.graph_objects as go
import os
import matplotlib
matplotlib.use('TkAgg')
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import pdb
def visualize_map():
# %%
map_prefix = "50_10_5_10_5_2"
ndf = pd.read_csv("" + map_prefix + "_Nodes.csv")... | pwang649/3D_MAPF | hello_world/core/visualization.py | visualization.py | py | 4,687 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.use",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "plotly.graph_objects.Sc... |
22117461324 | import rospy
from MyStatics.RealTimePlotter import RealTimePlotter
from MyStatics.GaussianPlotter import GaussPlot
from FaultDetection import ChangeDetection
from geometry_msgs.msg import AccelStamped
from dynamic_reconfigure.server import Server
from accelerometer_ros.cfg import accelerometerGaussConfig
import numpy a... | jcmayoral/collision_detector_observers | collision_observers/accelerometer/accelerometer_ros/src/fault_detection/AccGaussCUSUM.py | AccGaussCUSUM.py | py | 2,101 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.use",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "MyStatics.RealTimePlotter.RealTimePlotter",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "FaultDetection.ChangeDetection",
"line_number": 14,
"usage_type": "name"
},
... |
9401341695 | # coding: utf-8
import re
import requests
response = requests.get('http://ads.fraiburgo.ifc.edu.br')
if response.status_code == 200:
texto = response.content.decode('utf-8')
links = re.findall(r'<a href="(.*?)".*>(.*)</a>', texto)
for url in links:
print(url) | fabricioifc/python_regex_tarefa | exemplos_professor/regex_02.py | regex_02.py | py | 266 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 9,
"usage_type": "call"
}
] |
70879484348 | import collections
import functools
from operator import mul
def tokenize(s: str):
tokens = []
words = s.strip().split()
for word in words:
if word.startswith("("):
tokens.append(word[0])
tokens.extend(tokenize(word[1:]))
elif word.endswith(")"):
tokens.... | cj81499/advent-of-code | src/aoc_cj/aoc2020/day18.py | day18.py | py | 2,065 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "collections.deque",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "functools.reduce",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "operator.mul",
"line_number": 68,
"usage_type": "argument"
},
{
"api_name": "collections.deque... |
10423383033 | from __future__ import annotations
import copy
import dataclasses
import json
from typing import TYPE_CHECKING
import pytest
from randovania.game_description.db.node_identifier import NodeIdentifier
from randovania.games.prime2.layout.echoes_configuration import EchoesConfiguration
from randovania.games.prime2.layou... | randovania/randovania | test/gui/test_tracker_window.py | test_tracker_window.py | py | 17,755 | python | en | code | 165 | github-code | 6 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "copy.copy",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "randovania.games.prime2.layout.translator_configuration.LayoutTranslatorRequirement.RANDOM",
"line_number": 27... |
74548599546 | import boto3
from botocore.exceptions import NoCredentialsError
def upload_to_aws(local_file, bucket, s3_file):
s3 = boto3.client('s3')
try:
s3.upload_file(local_file, bucket, s3_file)
print("Upload Successful")
return True
except FileNotFoundError:
print("The file was not f... | HULKMARXEL/Group_6_AWS_project | localhost/S3.py | S3.py | py | 562 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "boto3.client",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "botocore.exceptions.NoCredentialsError",
"line_number": 13,
"usage_type": "name"
}
] |
19399824149 | from typing import List
# 438. 找到字符串中所有字母异位词
# https://leetcode-cn.com/problems/find-all-anagrams-in-a-string/
class Solution:
def findAnagrams(self, s: str, p: str) -> List[int]:
p_vec = self.to_vector(p)
s_vec = self.to_vector(s[0: len(p) - 1])
# print(s_vec, p_vec)
i = 0
... | Yigang0622/LeetCode | findAnagrams.py | findAnagrams.py | py | 1,375 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 7,
"usage_type": "name"
}
] |
71643512507 | import pygame
from pygame.sprite import Sprite
class Button(Sprite):
def __init__(self, ai_settings, screen, msg, position, function_num):
super(Button, self).__init__()
self.screen = screen
self.screen_rect = screen.get_rect()
self.ai_settings = ai_settings
sel... | Karllzy/Architect | button.py | button.py | py | 3,292 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "pygame.sprite.Sprite",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "pygame.font.SysFont",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pygame.font",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "pygame.Rect"... |
41554384385 | import sys
import nimfa
import numpy as np
import scipy.sparse as sp
import pandas as pd
import gc
import os
import math
import mysql.connector
import random
import collections
from scipy.sparse.linalg import svds
from sklearn.model_selection import KFold
from multiprocessing import Pool
# import module
import machine... | Saito2982/CrossDomain | plot_domain.py | plot_domain.py | py | 22,614 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "scipy.sparse.linalg.svds",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "numpy.savetxt",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.savetxt",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "numpy.savetxt",
... |
12258821097 | import math
import random
import time
import carla
import cv2
import numpy as np
actor_list = []
def pure_pursuit(tar_location, v_transform):
L = 2.875
yaw = v_transform.rotation.yaw * (math.pi / 180)
x = v_transform.location.x - L / 2 * math.cos(yaw)
y = v_transform.location.y - L / 2 * math.sin(yaw... | DYSfu/Carla_demo | demo3.py | demo3.py | py | 3,290 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "math.pi",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "math.cos",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "math.sin",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "math.sqrt",
"line_number": 18,
... |
74472010426 | import unittest
from car_simulation import Car, Field, main
from unittest.mock import patch
from io import StringIO
class TestCar(unittest.TestCase):
def test_change_direction(self):
car = Car("TestCar", 0, 0, "N", "F")
car.change_direction("R")
self.assertEqual(car.direction, "E")
def... | LiSheng-Chris/car-simulation | car_simulation_test.py | car_simulation_test.py | py | 3,835 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "unittest.TestCase",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "car_simulation.Car",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "car_simulation.Field",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "car_simu... |
7649624460 | # convolution 계산 함수
import numpy as np
import pycuda.autoinit
from pycuda.compiler import SourceModule
from pycuda import gpuarray, tools
import pycuda.driver as cuda
class padding():
# CUDA Limit size
cu_lim = 32
def __init__(self,D,K,mode='vaild'):
# D : Data, K = kernel,
kw = int(K.shap... | JUHYUKo3o/CUDAKernelStudy | padding.py | padding.py | py | 1,964 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "numpy.float32",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "numpy.zeros",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "pycuda.compiler.Sou... |
32636741250 | import six
from c7n_azure.actions.tagging import Tag, AutoTagUser, RemoveTag, TagTrim, TagDelayedAction
from c7n_azure.actions.delete import DeleteAction
from c7n_azure.filters import (MetricFilter, TagActionFilter,
DiagnosticSettingsFilter, PolicyCompliantFilter)
from c7n_azure.provider ... | LRuttenCN/cloud-custodian | tools/c7n_azure/c7n_azure/resources/arm.py | arm.py | py | 3,163 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "c7n_azure.query.TypeInfo",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "six.add_metaclass",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "c7n_azure.query.TypeMeta",
"line_number": 14,
"usage_type": "argument"
},
{
"api_name"... |
29579733720 | # -*- coding: utf-8 -*-
"""
Created on Fri Dec 7 15:39:51 2018
@author: Akitaka
"""
import numpy as np
from sklearn.model_selection import cross_val_score
from lwpls import LWPLS
def psi(xlist,M):
""" make a design matrix """
ret = []
for x in xlist:
ret.append([x**i for i in rang... | nakanishi-akitaka/python2018_backup | 1207/cross_validation_lwpls.py | cross_validation_lwpls.py | py | 740 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "numpy.array",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.random.seed",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "numpy.linspace",
... |
73675812026 | import django
from django.conf import settings
import pandas as pd
import os, sys
proj_path = "/home/webuser/webapps/tigaserver/"
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "tigaserver_project.settings")
sys.path.append(proj_path)
django.setup()
from tigaserver_app.models import Fix
FILE = os.path.join(setti... | Mosquito-Alert/mosquito_alert | util_scripts/update_geo_userfixes_static.py | update_geo_userfixes_static.py | py | 1,682 | python | en | code | 6 | github-code | 6 | [
{
"api_name": "os.environ.setdefault",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "sys.path.append",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.path",
"li... |
32731940278 | from collections import deque
n, m = map(int, input().split())
number = list(map(int, input().split()))
deq = deque(i for i in range(1, n+1))
count = 0
for i in range(m):
while True:
if (deq[0] == number[i]):
deq.popleft()
break
else:
if(len(deq) / 2 > deq.ind... | woo222/baekjoon | python/큐,스택/s3_1021_회전하는큐.py | s3_1021_회전하는큐.py | py | 505 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.deque",
"line_number": 6,
"usage_type": "call"
}
] |
18028370803 | import json
from logging import info
import boto3
from botocore.exceptions import ClientError
from lgw.lambda_util import get_lambda_info, grant_permission_to_api_resource
def create_rest_api(
api_name,
api_description,
binary_types,
lambda_name,
resource_path,
deploy_stage,
integration_ro... | ebridges/lgw | lgw/api_gateway.py | api_gateway.py | py | 5,773 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "boto3.client",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "lgw.lambda_util.get_lambda_info",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "boto3.client",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "logging.inf... |
32150136387 | from collections import deque
def solution(queue1, queue2):
answer = -1
queue1Sum = sum(queue1)
queue2Sum = sum(queue2)
sameSum = (queue1Sum + queue2Sum) // 2
queue1Copy = deque(queue1)
queue2Copy = deque(queue2)
cnt = 0
while cnt < len(queue1) * 3:
if sameSum < queue1Sum:... | HS980924/Algorithm | src/8.Queue,Deque/두큐합.py | 두큐합.py | py | 810 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "collections.deque",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 9,
"usage_type": "call"
}
] |
24362863500 | from odoo import models, fields, api
from ..tools.nawh_error import NAWHError
class NetaddictionWhLocationsLine(models.Model):
_name = 'netaddiction.wh.locations.line'
_description = "Netaddiction WH Locations Line"
_order = 'qty'
product_id = fields.Many2one(
'product.product',
requi... | suningwz/netaddiction_addons | netaddiction_warehouse/models/netaddiction_wh_locations_line.py | netaddiction_wh_locations_line.py | py | 4,531 | python | it | code | 0 | github-code | 6 | [
{
"api_name": "odoo.models.Model",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "odoo.models",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "odoo.fields.Many2one",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "odoo.fields",
... |
34390260723 | from pathlib import Path
from datetime import timedelta
import environ
import os
import pymysql
pymysql.install_as_MySQLdb()
# Build paths inside the project like this: BASE_DIR / 'subdir'.
BASE_DIR = Path(__file__).resolve().parent.parent
REST_AUTH = {
'SESSION_LOGIN': False
}
###### 환경변수 쪽 설정 ###############... | YCWG/YCWG-BackEnd | ycwg/settings.py | settings.py | py | 6,231 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pymysql.install_as_MySQLdb",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "environ.Env",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "environ.Env.read_e... |
29098845226 | #!/bin/env python
# This script undoes the "WellFolders.py" script, aka it empties all of the well folders out into the parent folder.
import os
import re
import argparse
parser = argparse.ArgumentParser(description='Takes a folder formatted by WellFolders and undoes it ',
usage='%(p... | jc6213/CRANIUM | UndoWellFolders.py | UndoWellFolders.py | py | 1,123 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.scandir",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.scandir",
"line_n... |
30003290472 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# @Description:
# @File: test.py
# @Project: ip_nlp
# @Author: Yiheng
# @Email: GuoYiheng89@gmail.com
# @Time: 7/15/2019 10:30
import time
from pymongo import ASCENDING
from common import logger_factory
from mongo.connect import get_collection
from mongo.utils.query_fil... | zhenxun815/ip_nlp | src/mongo/doc_service.py | doc_service.py | py | 3,720 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "common.logger_factory.get_logger",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "common.logger_factory",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "pymongo.ASCENDING",
"line_number": 21,
"usage_type": "name"
},
{
"api_name... |
3477127800 | import logging
from dvc.cli.command import CmdBase
logger = logging.getLogger(__name__)
class CmdQueueWorker(CmdBase):
"""Run the exp queue worker."""
def run(self):
self.repo.experiments.celery_queue.worker.start(self.args.name)
return 0
def add_parser(experiments_subparsers, parent_pars... | gshanko125298/Prompt-Engineering-In-context-learning-with-GPT-3-and-LLMs | myenve/Lib/site-packages/dvc/commands/experiments/queue_worker.py | queue_worker.py | py | 656 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "dvc.cli.command.CmdBase",
"line_number": 8,
"usage_type": "name"
}
] |
2418871084 | import torch
import numpy as np
from copy import deepcopy
from typing import List, Optional, Tuple
from torch.utils.data import DataLoader
from supervised.utils import ids, keys, typeddicts
from supervised import saving, data, networks
VERBOSE = False # Default: whether the code output should be verbose
NR_EPOCHS = ... | doggydigit/Biasadaptation-jureca | supervised/simulate/train.py | train.py | py | 17,379 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "supervised.networks.classes",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "supervised.networks",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "torch.utils.data.DataLoader",
"line_number": 15,
"usage_type": "name"
},
{
"... |
40546898692 | import json
from django.http import JsonResponse
from django.shortcuts import render
from admin_manage.models import Company
from admin_manage.views import method_verify, verify_token
from face_machine_client.models import ClientInfo
from asgiref.sync import async_to_sync
from channels.layers import get_channel_layer
... | hamster1963/face-all-in-one-machine-backend | face_machine_client/views.py | views.py | py | 6,512 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "face_machine_client.models.ClientInfo.objects.filter",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "face_machine_client.models.ClientInfo.objects",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "face_machine_client.models.ClientInfo",
... |
30299002056 | import datetime
from elasticsearch import Elasticsearch
def insertData():
es = Elasticsearch('[localhost]:9200')
# index : product_list, type : _doc
index = "product_list"
doc = {
"category": "t-shirt",
"price": 16700,
"@timestamp": datetime.datetime.now()
}
es.index(i... | yeahyung/python-flask | study/elastic.py | elastic.py | py | 730 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "elasticsearch.Elasticsearch",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name"... |
72787079228 | import time
import psutil
import scapy.interfaces
from scapy.all import *
from PyQt6.QtCore import QObject, pyqtSignal
class GetInterfaceServer(QObject):
"""捕获网卡信息"""
isActive = True
bytes_flow = pyqtSignal(dict)
interfaces_scapy = scapy.interfaces.get_working_ifaces()
interfaces_psutil = psutil.... | VanCoghChan/CCSniffer | models/GetInterfaceModel.py | GetInterfaceModel.py | py | 1,002 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "PyQt6.QtCore.QObject",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "PyQt6.QtCore.pyqtSignal",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "scapy.interfaces.interfaces.get_working_ifaces",
"line_number": 13,
"usage_type": "call"
},... |
8105081811 | # coding=utf-8
import os
import re
import glob
import MeCab
import torch
from torch import nn
import pickle
import linecache
import pandas as pd
from sklearn.model_selection import train_test_split
import torch.optim as optim
import sys
sys.path.append(os.path.join('./', '..', '..'))
from classification.script.models i... | ys201810/lstm_pytorch | classification/script/train.py | train.py | py | 5,357 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
17371125676 | from django.contrib import admin
from django.contrib.auth import get_user_model
User = get_user_model()
class UserAdmin(admin.ModelAdmin):
list_display = (
'id',
'first_name',
'last_name',
'username',
'email',
'balance',
'freeze_balance',
'role',
... | vavsar/freelance_t | users/admin.py | admin.py | py | 363 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "django.contrib.auth.get_user_model",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 7,
"usage_type": "name"
},
... |
7938194140 | import pytesseract
from PIL import Image
import cv2
# Path to the Tesseract executable (you might not need this on Ubuntu)
# pytesseract.pytesseract.tesseract_cmd = r'/usr/bin/tesseract' # You may need to set the correct path to Tesseract on your system
# Open an image file
image_path = 'image.jpeg'
img = Image.open... | KolKemboi/AiMazing | OCR.py | OCR.py | py | 572 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "PIL.Image.open",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "pytesseract.image_to_string",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
... |
618459417 | from typing import List
import numpy as np
from hakaton.prediction.model import SkyhacksModel
from hakaton.util import model_util
class WagonDetectorSkyhacksModel(SkyhacksModel):
MODEL_STRUCTURE_FILE = "storedmodel/model-next-wagon-structure.json"
MODEL_WEIGHTS_FILE = "storedmodel/model-next-wagon-weights.h... | karynabierz/hakaton | hakaton/prediction/wagondetector_skyhacks_model.py | wagondetector_skyhacks_model.py | py | 1,623 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "hakaton.prediction.model.SkyhacksModel",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "hakaton.util.model_util.load",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "hakaton.util.model_util",
"line_number": 14,
"usage_type": "name"
},... |
45484267256 | from setuptools import setup, find_packages
__version__ = '0.8.6'
with open('README.rst', 'r', encoding='utf-8') as fh:
long_description = fh.read()
setup(
name='LMRt', # required
version=__version__,
description='LMR turbo',
long_description=long_description,
long_description_content_type='t... | fzhu2e/LMRt | setup.py | setup.py | py | 1,031 | python | en | code | 9 | github-code | 6 | [
{
"api_name": "setuptools.setup",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 16,
"usage_type": "call"
}
] |
40176969885 | from setuptools import setup, find_packages
VERSION = "0.0.6"
DESCRIPTION = "Investopedia simulator trading API"
LONG_DESCRIPTION = (
"An API that allows trading with stock simulator for from Investopedia"
)
install_requires = ["selenium", "schedule"]
setup(
name="simulatorTradingApi",
version=VERSION,
... | mchigit/investopedia-simulator-api | setup.py | setup.py | py | 752 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "setuptools.setup",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 18,
"usage_type": "call"
}
] |
37018522643 | import numpy as np
import statsmodels.api as sm
np.random.seed(2021)
mu = 0
sigma = 1
# number of observations
n = 100
alpha = np.repeat(0.5, n)
beta = 1.5
def MC_estimation_slope(M):
MC_betas = []
MC_samples = {}
for i in range(M):
# to make sure the variance in X is bigger than the variance i... | TatevKaren/mathematics-statistics-for-data-science | Statistical Sampling/Monte Carlo Simulation OLS estimate.py | Monte Carlo Simulation OLS estimate.py | py | 985 | python | en | code | 88 | github-code | 6 | [
{
"api_name": "numpy.random.seed",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "numpy.repeat",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.random.normal",
... |
12580230297 | from django.shortcuts import render
from django.http import JsonResponse
import openai
# Create your views here.
openai_api_key='MI-API-KEY'
openai.api_key=openai_api_key
def ask_openai(message):
response = openai.Completion.create(
model = "text-davinci-003",
prompt= message,
max_tokens=1... | elgualas/MichiAI | chatbot/views.py | views.py | py | 880 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "openai.api_key",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "openai.Completion.create",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "openai.Completion",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "dj... |
4728965077 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Sep 11 10:19:22 2018
@author: psanch
"""
import tensorflow as tf
from sklearn.manifold import TSNE
import matplotlib.pyplot as plt
import numpy as np
import utils.utils as utils
class BaseVisualize:
def __init__(self, model_name, result_dir, fig_... | psanch21/VAE-GMVAE | base/base_visualize.py | base_visualize.py | py | 1,607 | python | en | code | 197 | github-code | 6 | [
{
"api_name": "utils.utils.save_img",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "utils.utils",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "sklearn.manifold.TSNE",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.asarray"... |
21816512190 | from flask import Flask, request
import json
app = Flask(__name__)
@app.route("/")
def api():
x = request.headers.get("Xxx")
if x == None:
return "missing header"
headers = [header for header in request.headers]
return json.dumps(headers)
if __name__ == "__main__":
app.run(host="0.0.0.0",... | mrtc0/abusing-hop-by-hop-header | app/app.py | app.py | py | 344 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "flask.request.headers.get",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask.request.headers",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "flask.r... |
2734136284 | # -*- coding: utf-8 -*-
"""
@project ensepro
@since 25/02/2018
@author Alencar Rodrigo Hentges <alencarhentges@gmail.com>
"""
import json
import logging
from ensepro.constantes import ConfiguracoesConstantes, StringConstantes, LoggerConstantes
def __init_logger():
global logger
logging.basicConfig(
... | Ensepro/ensepro-core | ensepro/configuracoes/configuracoes.py | configuracoes.py | py | 2,135 | python | pt | code | 1 | github-code | 6 | [
{
"api_name": "logging.basicConfig",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "ensepro.constantes.ConfiguracoesConstantes.ENSEPRO_PATH",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "ensepro.constantes.ConfiguracoesConstantes",
"line_number": ... |
40688712803 | import logging
from feg.protos import s6a_proxy_pb2, s6a_proxy_pb2_grpc
from google.protobuf.json_format import MessageToJson
from magma.common.rpc_utils import print_grpc
from magma.subscriberdb import metrics
from magma.subscriberdb.crypto.utils import CryptoError
from magma.subscriberdb.store.base import Subscriber... | magma/magma | lte/gateway/python/magma/subscriberdb/protocols/s6a_proxy_servicer.py | s6a_proxy_servicer.py | py | 6,492 | python | en | code | 1,605 | github-code | 6 | [
{
"api_name": "feg.protos.s6a_proxy_pb2_grpc.S6aProxyServicer",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "feg.protos.s6a_proxy_pb2_grpc",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "logging.info",
"line_number": 19,
"usage_type": "call"
... |
8564353511 | import tkinter as tk
import random
from sql import SqlInject
LARGE_FONT = ("Verdana", 12)
data = SqlInject()
class GuiFood(tk.Tk):
def __init__(self, data=data, *args, **kwargs):
tk.Tk.__init__(self, *args, **kwargs)
container = tk.Frame(self)
container.pack(side="top", fill="both", ex... | Bainard/activite5 | newgui.py | newgui.py | py | 6,917 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sql.SqlInject",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "tkinter.Tk",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "tkinter.Tk.__init__",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "tkinter.Tk",
"lin... |
34862439177 | import datetime
import decimal
import urllib.parse
from typing import Dict, Any
from django import template
from django.conf import settings
from django.template.defaultfilters import date
from django.urls import NoReverseMatch, reverse
from django.utils import timezone
from django.utils.safestring import mark_safe
fr... | Status-Page/Status-Page | statuspage/utilities/templatetags/helpers.py | helpers.py | py | 10,704 | python | en | code | 45 | github-code | 6 | [
{
"api_name": "django.template.Library",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "django.template",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "utilities.utils.get_viewname",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "... |
39275803820 | ## For random paymentid
import re
import secrets
import sha3
import sys
from binascii import hexlify, unhexlify
import pyed25519
# byte-oriented StringIO was moved to io.BytesIO in py3k
try:
from io import BytesIO
except ImportError:
from StringIO import StringIO as BytesIO
b = pyed25519.b
q = pyed25519.q
l ... | wrkzcoin/TipBot | wrkzcoin_tipbot/cn_addressvalidation.py | cn_addressvalidation.py | py | 11,230 | python | en | code | 137 | github-code | 6 | [
{
"api_name": "pyed25519.b",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "pyed25519.q",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "pyed25519.l",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "binascii.unhexlify... |
26609155963 | import pyautogui
import time
def click_on_bluestacks(x, y):
# Attendez 5 secondes pour vous donner le temps de changer de fenêtre
time.sleep(5)
# Trouvez la fenêtre Bluestacks
bluestacks_windows = pyautogui.getWindowsWithTitle('Bluestacks')
# Vérifiez si la fenêtre Bluestacks a été trouvée
if... | Edgarflc/Summoners-War-Bot | test.py | test.py | py | 941 | python | fr | code | 0 | github-code | 6 | [
{
"api_name": "time.sleep",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pyautogui.getWindowsWithTitle",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pyautogui.moveTo",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pyautogui.cli... |
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