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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
10976644614 | from alpha_vantage.techindicators import TechIndicators
from alpha_vantage.timeseries import TimeSeries
from src import Constants
from src import AlphaV
from src.Persister import Persister
from src.PersisterSqlite import PersisterSqlite
from src.Utils import Utils
from src.Scraper import Scraper
from src.Recommender im... | ZehanLi/Roboadvisor | Main.py | Main.py | py | 5,411 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "matplotlib.use",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "src.Scraper.Scraper",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "src.Utils.... |
727362805 | from flask import Flask, render_template, request
import multiprocessing
import utilities
import filePreprocessing
import config
import redis
import netRB
import sys
#Počiatočná inicializácia objektov
logs = utilities.Logs()
try:
r = redis.Redis(host=config.REDIS_IP, port=config.REDIS_PORT)
except:
logs.logg... | p4z1/NN-anomaly-detection-system | sonda/app.py | app.py | py | 2,270 | python | sk | code | 1 | github-code | 1 | [
{
"api_name": "utilities.Logs",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "redis.Redis",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "config.REDIS_IP",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "config.REDIS_PORT",
... |
38937448976 | from typing import Any, Dict, Iterable, List, Optional, Set
from collections import defaultdict
import itertools
from cmk.utils.type_defs import (
CheckPluginName,
InventoryPluginName,
ParsedSectionName,
RuleSetName,
SectionName,
)
from cmk.base.api.agent_based.checking_classes import CheckPlugin
... | superbjorn09/checkmk | cmk/base/api/agent_based/register/_config.py | _config.py | py | 6,330 | python | en | code | null | github-code | 1 | [
{
"api_name": "typing.Dict",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "cmk.utils.type_defs.SectionName",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "cmk.base.api.agent_based.type_defs.AgentSectionPlugin",
"line_number": 27,
"usage_type": "nam... |
43455494785 | from oauth2client.file import Storage
import httplib2
import urllib
import json
from datetime import datetime, timedelta
# Your acount needs to be authorized for these requests. Get an API key and then an OAuth 2 client ID
# from console.developers.google.com, then use oauth2client to generate some credentials.
# inst... | Adamcake/PyYoutube | youtube.py | youtube.py | py | 6,450 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "oauth2client.file.Storage",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "httplib2.Http",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "urllib.urlencode",... |
26818665243 | from kafka import KafkaConsumer, TopicPartition
import yaml
import ssl
def read_yaml(file_path):
with open(file_path, "r") as f:
return yaml.safe_load(f)
config = read_yaml("config.yml")
sasl_mechanism = 'PLAIN'
security_protocol = 'SASL_SSL'
# Create a new context using system defaults, disable all but ... | sjhiggs/simple-kafka-python | consumer.py | consumer.py | py | 1,532 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "yaml.safe_load",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "ssl.create_default_context",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "ssl.OP_NO_TLSv1",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "ssl.OP_... |
29761073492 | import json
import requests
import webbrowser
import urllib
from urllib.parse import parse_qs
from urllib.parse import urlparse
from datetime import datetime
# from td.server import AuthCodeRedirectServer
from td.credentials import TdCredentials
# from td.client import TdAmeritradeClient
# grant_type
# (required)
# ... | Gaukhar-ai/td-ameritrade-api | td/oauth.py | oauth.py | py | 14,624 | python | en | code | null | github-code | 1 | [
{
"api_name": "td.credentials.TdCredentials",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "urllib.parse.urlencode",
"line_number": 82,
"usage_type": "call"
},
{
"api_name": "urllib.... |
25652071597 | import pygame
pygame.init()
# 화면 크기 설정
screen_width = 480
screen_height = 640
screen = pygame.display.set_mode((screen_width,screen_height))
# Title
pygame.display.set_caption("Hobin Game")
# Load background
background = pygame.image.load("C:\\Users\\gatob\\Desktop\\새 폴더\\code\\pygame\\background.png")
# Load cha... | khobin/first-python-project | 3_main_character.py | 3_main_character.py | py | 1,046 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pygame.init",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pygame.display.s... |
17656224135 | from pymavlink import mavutil
from pymavlink.generator import mavcrc
from datetime import datetime
def mavlinkInspectBranch(mav_connection, item_number):
result_msg = None
if item_number == 'T46':
result, result_msg, send_msg = hwInspect(mav_connection)
elif item_number == 'T06':
result, re... | khu-mesl-348/PX4-Inspector | src/MAVLinkInspectModule.py | MAVLinkInspectModule.py | py | 15,595 | python | ko | code | 0 | github-code | 1 | [
{
"api_name": "pymavlink.mavutil.mavlink",
"line_number": 50,
"usage_type": "attribute"
},
{
"api_name": "pymavlink.mavutil",
"line_number": 50,
"usage_type": "name"
},
{
"api_name": "pymavlink.mavutil.mavlink",
"line_number": 53,
"usage_type": "attribute"
},
{
"a... |
70343080354 | from flask import request, Response, Flask
app = Flask(__name__)
@app.route('set_location_header')
def set_location_header():
'''
get url data from the request and set the location header for redirecting
'''
url = request.args.get('url')
location = 'https://www.google.com'
return Response(locati... | s2e-lab/SecurityEval | Testcases_InCoder/CWE-601/sonar_3.py | sonar_3.py | py | 362 | python | en | code | 31 | github-code | 1 | [
{
"api_name": "flask.Flask",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "flask.request.args.get",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask.request.args",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "flask.request... |
8513271905 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
""" Triggers maintenance tasks when a new impression is saved.
It basically updates the summarized collection of impressions.
"""
import dateutil.parser
import sys
import traceback
import barbante.maintenance.tasks as maintenance
import barbante.utils.logging as bar... | hypermindr/barbante | barbante/api/process_impression.py | process_impression.py | py | 1,383 | python | en | code | 10 | github-code | 1 | [
{
"api_name": "barbante.utils.logging.get_logger",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "barbante.utils.logging",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "dateutil.parser.parser.parse",
"line_number": 32,
"usage_type": "call"
},
{
... |
27984237032 | from pathlib import Path
from unittest.mock import MagicMock
import pytest
import torch
from src.data.components.text_dataset import SPTokenizingTextDataset
def test__init__(
dummy_text_data_dir: Path,
mock_sentencepieceprocessor: MagicMock,
):
max_len = 10
mock = mock_sentencepieceprocessor()
... | Geson-anko/RWKV-ReImpl | tests/data/components/test_text_dataset.py | test_text_dataset.py | py | 2,361 | python | en | code | 6 | github-code | 1 | [
{
"api_name": "pathlib.Path",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "unittest.mock.MagicMock",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "src.data.components.text_dataset.SPTokenizingTextDataset",
"line_number": 17,
"usage_type": "call"
... |
17657644452 | import pymysql.cursors
# Функция возвращает connection.
def getConnection(globalC):
# Вы можете изменить параметры соединения.
connection = pymysql.connect(host=globalC[0],
user=globalC[1],
password=globalC[2],
... | Stuksus/Botus | function.py | function.py | py | 4,050 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pymysql.cursors.connect",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pymysql.cursors",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "pymysql.cursors.cursors",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "py... |
71912907873 | from rasa_core_sdk import Action
from .utils import localRequest
from .environment import configGateway
import requests
import json
class Action_sports(Action):
def name(self):
return "action_sports"
def run(self, dispatcher, tracker, domain):
URL = configGateway()
locale = tracker.ge... | BotGaia/Gaia | bot/actions/action_sports.py | action_sports.py | py | 3,060 | python | en | code | 4 | github-code | 1 | [
{
"api_name": "rasa_core_sdk.Action",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "environment.configGateway",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "json.loads... |
41206205737 | from tkinter import *
from tkinter import ttk
import customtkinter as ctk
from PIL import Image ,ImageTk
import os
# shut window
def shut_down():
os.system("shutdown /s /t 0")
root.destroy()
def restart():
os.system("shutdown /r /t 1")
root.destroy()
def sleep():
os.system("rundll32.exe powrprof.... | Raghvendra5448/Shut_Down_Windows | wind.py | wind.py | py | 1,882 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "os.system",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "customtkinter.set_appearance_mode",
... |
73901327395 | __author__ = 'cuizhe01'
import tornado.httpserver
import tornado.ioloop
import tornado.options
import tornado.web
import tornado.httpclient
import tornado.gen
from tornado.concurrent import run_on_executor
# 这个并发库在python3自带在python2需要安装sudo pip install futures
from concurrent.futures import ThreadPoolExecutor
import ti... | CuiVincent/140928_tornado_test | 012_thread1.py | 012_thread1.py | py | 1,663 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "tornado.options.define",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "tornado.httpserver.web",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "tornado.httpserver",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": ... |
15933190189 | import json
from json import JSONDecodeError
from typing import Optional, Tuple
import lxml
from lxml.html.clean import Cleaner
import requests
from django.db import Error as DjangoDatabaseOperationError
from django.http import JsonResponse
from django.views import View
from django.conf import settings
from django.co... | krembas/semantive-challange | djangoapp/apps/pages/views.py | views.py | py | 6,412 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.views.View",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "django.http.JsonResponse",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "django.con... |
27839216359 | from PIL import ImageGrab
import win32gui, win32ui, win32con, win32api
import time, datetime
from desktopmagic.screengrab_win32 import (
getDisplayRects, saveScreenToBmp, saveRectToBmp, getScreenAsImage,
getRectAsImage, getDisplaysAsImages)
from bs4 import BeautifulSoup
import requests
import pytesseract
import cv2
... | snickerton/Skribbot | PRO_HAX.py | PRO_HAX.py | py | 3,059 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "pyautogui.hotkey",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pyautogui.hotkey",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pyperclip.paste",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "win32gui.GetWindowT... |
1530871103 | import logging
import os
import psutil
import tqdm
from metadrive.engine.asset_loader import AssetLoader
from metadrive.engine.engine_utils import initialize_engine, close_engine
from metadrive.envs.scenario_env import ScenarioEnv
from metadrive.manager.pg_map_manager import PGMapManager
from metadrive.manager.scenar... | metadriverse/metadrive | metadrive/tests/test_component/test_store_map_memory_leak.py | test_store_map_memory_leak.py | py | 3,601 | python | en | code | 471 | github-code | 1 | [
{
"api_name": "logging.basicConfig",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "psutil.Process",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.getpid",
... |
12496432836 | from __future__ import annotations
from contextlib import nullcontext as does_not_raise
from dataclasses import dataclass
from datetime import datetime
from typing import Literal
import pytest
from nrlf_converter.utils.validation.errors import ValidationError
from nrlf_converter.utils.validation.model import Validat... | NHSDigital/nrlf-converter | nrlf_converter/utils/validation/tests/test_validators.py | test_validators.py | py | 3,042 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "nrlf_converter.utils.validation.model.ValidatedModel",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "nrlf_converter.utils.validation.validators.validate_against_schema",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "nrlf_converter.utils.vali... |
26804653029 | #!/usr/bin/env python
"""
/data/Pathtothisscript/vedbus.py
/data/Pathtothisscript/ve_utils.py
python -m ensurepip --upgrade
pip install paho-mqtt
"""
import dbus.service
import dbus
from vedbus import VeDbusService
from datetime import timedelta
import datetime
#################################################
servi... | user0x01/venus-mqtt-pvinverter | pvinverters/pvinverters.py | pvinverters.py | py | 10,030 | python | en | code | 7 | github-code | 1 | [
{
"api_name": "sys.path.insert",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 50,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
5277064717 | # pylint: disable=invalid-name
from typing import Callable, TypeVar, Any, Optional
from .AbstractStateMachineFieldMapper import AbstractStateMachineFieldMapper
from .MessageFormatter import MessageFormatter
from .SingleLineMesasgeFormatter import SingleLineMesasgeFormatter
from .statemachine.CodeError import CodeError... | xor2003/py_phased_table_translation | main/mapping/impl/MandatoryFieldMapper.py | MandatoryFieldMapper.py | py | 5,925 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "typing.TypeVar",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "typing.TypeVar",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "typing.TypeVar",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "AbstractStateMachineFiel... |
17358790758 | from netmiko import ConnectHandler
from concurrent.futures import ThreadPoolExecutor
from my_devices import all_devices
from datetime import datetime
def connector(device, command):
with ConnectHandler(**device) as connect:
output = connect.send_command(command)
return output
if __name__ == "__m... | mickdcsw/PyPlus | class10/class10_task1b.py | class10_task1b.py | py | 757 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "netmiko.ConnectHandler",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "my_devi... |
13499321226 | import cv2
import numpy as np
import scipy
from scipy import ndimage, spatial
gauss = cv2.getGaussianKernel(5, 0.5)
mask = np.zeros((5,5))
mask[2][2] = 1
mask = ndimage.gaussian_filter(mask, 0.5)
# print(mask)
mask = np.zeros((3,3))
mask[1][1] = 1
# print(ndimage.sobel(mask, axis = 1, mode = 'nearest'))
image = np.ra... | anthonysiu2000/CVFeatureDetection | test.py | test.py | py | 1,160 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "cv2.getGaussianKernel",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "scipy.ndimage.gaussian_filter",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "scipy.nd... |
22495719665 | import random
import json
from typing import List, Dict, Optional
from abc import ABC, abstractmethod
from rpy2.robjects.packages import importr
from rpy2.robjects.vectors import FloatVector, StrVector, BoolVector
import rpy2.robjects as robjs
class UnknownTypeError(Exception):
""" Exception raised when an unknow... | Sybrand/pycffdrs | test_fixtures/src/generate_fixtures.py | generate_fixtures.py | py | 16,918 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "random.randint",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "random.uniform",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "random.uniform",
"line_... |
36142261824 | import json
try:
# For Python 3.0 and later
from urllib.error import HTTPError
import urllib.request as urllib
except ImportError:
# Fall back to Python 2's urllib2
import urllib2 as urllib
from urllib2 import HTTPError
url = 'https://review.opendev.org/projects/'
# This is what a project look... | openstack/grenade | tools/generate-grenade-plugins-list.py | generate-grenade-plugins-list.py | py | 987 | python | en | code | 53 | github-code | 1 | [
{
"api_name": "urllib2.urlopen",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "urllib2.HTTPError",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "urllib2.urlopen",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "json.loads",
"l... |
13900117775 | # -*- coding: utf-8 -*-
'''
A simple molecular viewer.
'''
import sys
import pyqtgraph as pg
from pyqtgraph.Qt import QtGui, QtCore
import pyqtgraph.opengl as gl
from pyqtgraph.parametertree import ParameterTree, Parameter
import numpy as np
from molio import get_mol_by_name, read_xyz, write_xyz
from molfuncs import a... | andrekorte/molviewer | molviewer/viewer.py | viewer.py | py | 18,993 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "pyqtgraph.Qt.QtGui.QMainWindow",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "pyqtgraph.Qt.QtGui",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "pyqtgraph.Qt.QtGui.QMainWindow.__init__",
"line_number": 24,
"usage_type": "call"
... |
35155421873 | from myproject import app,db, mail
from flask import render_template,redirect,request,url_for,flash,abort,send_file
from flask_login import login_user,login_required,logout_user, current_user
from flask_user import roles_required
from flask_mail import Message
from werkzeug.security import generate_password_hash
from m... | vektoresearch/vektoresearch.github.io | app.py | app.py | py | 15,826 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "flask.render_template",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "myproject.app.route",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "myproject.app",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "myproject.mod... |
41034422334 | from __future__ import annotations
from decimal import Decimal
from enum import IntEnum
import itertools
import operator
import re
import typing
from typing import AbstractSet
from typing import Any
from typing import Callable
from typing import cast
from typing import Dict
from typing import FrozenSet
from typing imp... | sqlalchemy/sqlalchemy | lib/sqlalchemy/sql/elements.py | elements.py | py | 170,781 | python | en | code | 8,024 | github-code | 1 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 69,
"usage_type": "attribute"
},
{
"api_name": "typing.Union",
"line_number": 103,
"usage_type": "name"
},
{
"api_name": "decimal.Decimal",
"line_number": 103,
"usage_type": "name"
},
{
"api_name": "typing.Union... |
11360956736 | import utils
import os
from tools import gdal_utils
from ._module import Module
class Reproject(Module):
def __init__(self, config):
Module.__init__(self, config)
self.defaultNodataValue = -32765
self.defaultDataType = 'Int16'
def process(self, message):
utils.log(self.id(), 'Executing module')
images =... | lapig-ufg/l2dc | src/modules/reproject.py | reproject.py | py | 1,411 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "_module.Module",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "_module.Module.__init__",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "_module.Module",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "utils.log",
"l... |
22878901896 | import random
import redis
import config
from app import r
from flask import Flask, jsonify
app = Flask(__name__)
app.config['DEBUG'] = config.DEBUG
@app.route('/')
def index():
total_ip = r.llen('proxy')
return f'''
当前已有ip--->{total_ip}个，
<br>
获取随机ip---><a href='/random/'>random</a>
... | fengshils/proxy_pool | app/web.py | web.py | py | 594 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "app.config",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "config.DEBUG",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "app.r.llen",
"line_num... |
70585083840 | # https://pytorch.org/tutorials/intermediate/torchvision_tutorial.html
import torch
import torchvision
from torchvision.models.detection import FasterRCNN
from torchvision.models.detection.rpn import AnchorGenerator
backbone = torchvision.models.mobilenet_v2(pretrained=True).features
backbone.out_channels = 1280
an... | 1106405114/goggle-defect | custom_backbone.py | custom_backbone.py | py | 983 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "torchvision.models.mobilenet_v2",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "torchvision.models",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "torchvision.models.detection.rpn.AnchorGenerator",
"line_number": 14,
"usage_type":... |
26698779912 | #!/usr/bin/python3
#sbrod
"""
Parallel feature extraction
Dependency: Rotamers (the SBROD feature extractor)
https://team.inria.fr/nano-d/software/sbrod/
Download the SBROD method and extract Rotamers from the `base` directory
Example: python featurize_dataset_parallel.py "../../datasets/CASP/data/CASP*/*/*[... | caorenzhi/DCNNQA | tools/SBROD/scripts/featurize_dataset_parallel.py | featurize_dataset_parallel.py | py | 1,632 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "subprocess.run",
"line_number": 27,
"usage_type": "call"
},
{
"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_numbe... |
1961165921 | #!flask/bin/python
from flask import Flask, jsonify, abort, request, make_response, url_for
from contextlib import closing
import socket
app = Flask(__name__, static_url_path="")
@app.errorhandler(400)
def bad_request(error):
return make_response(jsonify({'error': 'Bad request'}), 400)
@app.errorhandler(404)
de... | GT-AcerZhang/paddlepaddleutils | pythonresetful/rest-server.py | rest-server.py | py | 1,378 | python | en | code | null | github-code | 97 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.make_response",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.jsonify",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.make_response",
... |
41719008144 | from typing import List
# Aclaración: Debido a la versión de Python del CMS, para el tipo Lista, la sintaxis de la definición de tipos que deben usar es la siguiente:
# l: List[int] <--Este es un ejemplo para una lista de enteros.
# Respetar esta sintaxis, ya que el CMS dirá que no pasó ningún test si usan otra notac... | tomihq/tomihq-algoritmos1-ip | cms/cms2/mesetaMasLarga.py | mesetaMasLarga.py | py | 1,419 | python | es | code | 0 | github-code | 97 | [
{
"api_name": "typing.List",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 17,
"usage_type": "name"
}
] |
14319693039 | from datetime import datetime
start_time = datetime.now()
from sklearn.datasets import load_digits
digits = load_digits()
digits.keys()
n_samples, n_features = digits.data.shape
print('Número de amostras')
print(n_samples)
print('Número de features')
print(n_features)
print('Features da amostra 0')
print(digits.data... | Ralves2014/Aprendizagem-Automatica | Práticas/pratica-13/redes_neuronais.py | redes_neuronais.py | py | 2,421 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "datetime.datetime.now",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 2,
"usage_type": "name"
},
{
"api_name": "sklearn.datasets.load_digits",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "mat... |
30483569479 | # 读取Excel测试用例指定单元格工具类
import xlrd
from xlutils.copy import copy
class ExcelUtils:
# 文件位置
# 表格索引
def __init__(self, file="../data/case1.xls", sheet_index=0):
self.file = file
self.sheet_index = sheet_index
# 获取总的测试用例数量
def getCaseCount(self):
# 获取工作簿
work_book = x... | cyl19920314/TestMode | ApiZiDongHua/utils/ExcelUtils.py | ExcelUtils.py | py | 1,536 | python | zh | code | 1 | github-code | 97 | [
{
"api_name": "xlrd.open_workbook",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "xlrd.open_workbook",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "xlrd.open_workbook",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "xlutils.copy... |
8141623837 | from typing import List, Optional
import strawberry
from strawberry.fastapi import GraphQLRouter
from sqlalchemy import select
from starlette.applications import Starlette
from strawberry.asgi import GraphQL
import models
def attachGraphQL(app, sessionFunc):
@strawberry.type
class Location:
id: st... | Pompino/react-components-23KB | container/pyf/graphsqlstraw.py | graphsqlstraw.py | py | 3,677 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "strawberry.ID",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "models.Location",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "strawberry.ID",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "strawberry.type... |
26333050164 | """Request and response models for /subsystems endpoints."""
import enum
from typing import Optional, Dict
from datetime import datetime
from pydantic import BaseModel, Field
from opentrons.hardware_control.types import (
SubSystem as HWSubSystem,
UpdateState as HWUpdateState,
)
class SubSystem(enum.Enum):
... | Opentrons/opentrons | robot-server/robot_server/subsystems/models.py | models.py | py | 4,817 | python | en | code | 363 | github-code | 97 | [
{
"api_name": "enum.Enum",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "opentrons.hardware_control.types.SubSystem",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "opentrons.hardware_control.types.SubSystem",
"line_number": 36,
"usage_type": "... |
4351050732 | from ...extensions import redis
from .queries import KNOWN_PARAMS
from .periods.time import utc_now_ts
from .periods.time import LAST_TS_BEFORE_FUNCTIONS
from .job_helpers import JobState
from .task_helpers import base64_encode, base64_decode
REDIS_PLACEHOLDER = "1" # Shall only return logical true
REDIS_KEY_SEPARAT... | turris-cz/sentinel-sview | sview/statistics/tasks/tasks.py | tasks.py | py | 7,378 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "queries.KNOWN_PARAMS",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "task_helpers.base64_decode",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "extensions.redis.keys",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": ... |
16741303672 | import requests
from bs4 import BeautifulSoup
import re
import csv
import numpy as np
TAG_RE = re.compile(r'<[^>]+>')
CHAR_RE = re.compile(r'[^.\'A-Za-z0-9]+')
def remove_tags(text):
return TAG_RE.sub("", text)
def remove_special_char(text):
return CHAR_RE.sub(" ", text)
def scrape_technology(url):
... | albertwir360/Bellwether_Analytics_Project | msu.py | msu.py | py | 3,461 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "re.compile",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number... |
5325979321 | import os
import sys
import yaml
import requests
import logging
import robox.config_cn
import robox.config_cn_dev
import robox.config_us_dev
import robox.config_us_prod
import robox.config_us_test
import robox.config_wanda
import robox.config_cn_test
from modules.utils import ffmpeg
logger = logging.getLogger(__name_... | Qin-BL/aws_s3_uploader | config.py | config.py | py | 8,731 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
... |
7163163234 | import matplotlib.pyplot as plt
import matplotlib
import numpy
matplotlib.use('macOSX')
from scipy.stats import norm
m_Ia = -19.25
sig_Ia = 0.12
m_IIL = -17.98
sig_IIL= 0.34
def mixturemodel(cont = 0.98):
n=100000
r = norm.rvs(size=n)
n_IIL= round(n*(1-cont))
r[:n_IIL]=m_IIL + r[:n_IIL]*sig_IIL
r[n_IIL:] = m_... | AlexGKim/LS4 | pv_fom.py | pv_fom.py | py | 1,349 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "matplotlib.use",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "scipy.stats.norm.rvs",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "scipy.stats.norm",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "numpy.tanh",
... |
16938184768 | import cv2
import numpy as np
criteria = (cv2.TERM_CRITERIA_EPS | cv2.TERM_CRITERIA_MAX_ITER, 30, 0.001)
ojbp = np.zeros((11*8,3),np.float32)
ojbp[:,:2] = np.mgrid[0:8,0:11].T.reshape(-1,2)
objpoints = []
imgpoints = []
for i in range(1,16):
img = cv2.imread("./Q2_image/"+str(i)+".bmp")
img = cv2.cvtCo... | cin-cout/Camera-Calibration | 225.py | 225.py | py | 1,112 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "cv2.TERM_CRITERIA_EPS",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "cv2.TERM_CRITERIA_MAX_ITER",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "numpy.zeros",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "n... |
35297303003 | from imdb import IMDb
from typing import List
import asyncio
from asyncio import as_completed, gather
class ActorService():
def __init__(self):
self.imdb = IMDb()
self.current_actor = ""
self.movie_fallback_image = "https://encrypted-tbn0.gstatic.com/images?q=tbn%3AANd9GcR6pdTz5L8m-BnQaPfY... | projeto-de-algoritmos/Grafos1_CineGraph | backend/app/services/actor_service.py | actor_service.py | py | 5,643 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "imdb.IMDb",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "asyncio.ensure_future",
"line_nu... |
16759996561 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
import pandas as pd
train = pd.read_csv('train.csv')
test= pd.read_csv('test.csv')
# ## BiLSTM
# In[9]:
import numpy as np # linear algebra
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)
import keras
from keras.preprocessing.text import Tok... | merry555/Jujeop | models/binary/BILSTM_CNN.py | BILSTM_CNN.py | py | 4,674 | python | en | code | 7 | github-code | 97 | [
{
"api_name": "pandas.read_csv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "konlpy.tag.Mecab",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "keras.preprocessing.t... |
7179779452 | import glob
import shutil
import argparse
import ProcessingTools as pt
def main(last_path: str, save_path: str):
"""
:param last_path:
:param save_path:
:return True:
"""
pt.create_folder(f'{save_path}/train')
pt.create_folder(f'{save_path}/val/gallery')
pt.create_folder(f'{save_path}... | vcl-seoultech/SirNet | change_form/Lastform2Celebform.py | Lastform2Celebform.py | py | 2,898 | python | en | code | 12 | github-code | 97 | [
{
"api_name": "ProcessingTools.create_folder",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "ProcessingTools.create_folder",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "ProcessingTools.create_folder",
"line_number": 16,
"usage_type": "call"
},
... |
4661538639 | from flask import Flask, session,render_template,redirect,url_for,request
from flask_wtf import FlaskForm
from wtforms import StringField,SubmitField
from wtforms.validators import Length,Regexp
from copy import deepcopy
from algorithm import Solution
import json
app=Flask(__name__)
app.config['SECRET_KEY']='mysecretk... | monkeyapple/GroupNameGenerator | app.py | app.py | py | 3,579 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask_wtf.FlaskForm",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "wtforms.StringField",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "wtforms.validators... |
70630949759 | #!/usr/bin/python
import numpy
import scipy
class Distance():
def __init__(self, model, lemmatizer=None):
self.model = model
self.lemmatizer = lemmatizer
self.t1 = None
self.t2 = None
self.t1_changed = False
self.t2_changed = False
def simple(self, t1, t2):
... | fedekau/tweets-clustering | src/distance/distance.py | distance.py | py | 2,923 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "numpy.sum",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "scipy.spatial.distance.euclidean",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "scipy.spatial",
... |
1837552432 | '''
Created on 22-Dec-2017
@author: vineet
'''
from google.appengine.ext import ndb
import json
import datetime
class ProductType(ndb.Model):
typeCode=ndb.StringProperty(required=True) #for SKU code
typeDefinition=ndb.StringProperty(required=True)
typeImageLoc=ndb.StringProperty()
level=ndb.IntegerP... | Vulcan-Logic/WEB_flask_inventory_project | dbProductType.py | dbProductType.py | py | 10,492 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "google.appengine.ext.ndb.Model",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "google.appengine.ext.ndb",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "google.appengine.ext.ndb.StringProperty",
"line_number": 12,
"usage_type": "... |
8284605407 | # -*- coding: utf-8 -*-
"""
Created on Mon Feb 7 14:01:30 2022
@author: pkuhu
"""
import time
import numpy as np
# from numba import jit
from scipy.ndimage import gaussian_filter1d
from scipy.optimize import curve_fit
from reflectivity_model import Model
class Calculator():
'''This is the base class of all cal... | mingqiuhu/XRayScatterPy | xray_scatter_py/underdev/reflectivity_calculate.py | reflectivity_calculate.py | py | 11,804 | python | en | code | 3 | github-code | 97 | [
{
"api_name": "time.time",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 41,
... |
31816305848 | import torch
from torch_geometric_temporal.dataset import PemsBayDatasetLoader
import numpy as np
import pandas as pd
sequence_len = 1
prediction_len = 3
device = "cpu"
def create_adjacency(dataset):
adjacency= np.zeros((len(dataset.features[0]),len(dataset.features[0])))
for i in range(dataset.edge_index.sh... | pjdevs/T-GCN | experiments/transformdataset.py | transformdataset.py | py | 787 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "numpy.zeros",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch_geometric_temporal.dataset.PemsBayDatasetLoader",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.transpose",
"line_number": 19,
"usage_type": "call"
},
{
... |
8499111469 | """
Black Shapes
Problem Description
Given character matrix A of O's and X's, where O = white, X = black.
Return the number of black shapes. A black shape consists of one or more adjacent X's (diagonals not included)
Problem Constraints
1 <= |A|,|A[0]| <= 1000
A[i][j] = 'X' or 'O'
Input Format
The First and... | dhawal-mehta/DSA | Graph 1/Black Shapes.py | Black Shapes.py | py | 2,562 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "collections.deque",
"line_number": 98,
"usage_type": "call"
}
] |
38385700111 | """
1320. Minimum Distance to Type a Word Using Two Fingers
You have a keyboard layout as shown above in the XY plane, where each English uppercase letter is located at some coordinate, for example, the letter A is located at coordinate (0,0), the letter B is located at coordinate (0,1), the letter P is located at co... | Akshattekriwal01/leetcode | Leetcode 1320. Minimum Distance to Type a Word Using Two Fingers.py | Leetcode 1320. Minimum Distance to Type a Word Using Two Fingers.py | py | 3,851 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "collections.defaultdict",
"line_number": 70,
"usage_type": "call"
}
] |
22467267300 | import socket
import sys
import os
from celery import Celery
from logcc.logcc import LogCC
from termcc.cc import cc
from termcc.core import red
from netboy.util.setup_log import setup_log
# app = Celery('netboy', include=[
# 'netboy.celery.tasks'
# ])
class BasicConfig:
def __init__(self):
self.ena... | pingf/netboy2 | netboy/celery/app.py | app.py | py | 1,220 | python | en | code | 3 | github-code | 97 | [
{
"api_name": "netboy.util.setup_log.setup_log",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "celery.Celery",
"line_number": 42,
"usage_type": "call"
}
] |
74146250880 | from curses import window
import tkinter as tk
window = tk.Tk()
window.title("Mile to Km Converter")
window.minsize(300, 200)
def calculate(mile=0):
km = mile * 1.60934
km_label.config(text=f'{km:.2f}')
mile_entry = tk.Entry(width=10)
mile_entry.grid(row=0, column=1)
mile_label = tk.Label(text="Miles")
mi... | tian3rd/OHDOC | Python/d27/main.py | main.py | py | 796 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "curses.window",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "tkinter.Tk",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "curses.window.title",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "curses.window",
"line_n... |
20897590436 | # -*- coding: utf-8 -*-
import scrapy
from scrapy_splash import SplashRequest, SplashFormRequest
from scrapy import Selector
from scrapy.http.request import Request
from scrapy.http.request.form import FormRequest
from scrapy.spiders.init import InitSpider
from scrapy.exceptions import CloseSpider
from facebook.items i... | smilence19/pojie | www.facebook.com/facebook/spiders/facebook_xls_comments.py | facebook_xls_comments.py | py | 4,291 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "scrapy.spiders.init.InitSpider",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "os.walk",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "scrapy.Request",
... |
27507245878 | import smtplib
from email.header import Header
from email.mime.text import MIMEText
from email.utils import formataddr, parseaddr
def _format_addr(s):
name, addr = parseaddr(s)
return formataddr((Header(name, 'utf-8').encode(), addr))
def send(m):
msg = MIMEText(m, 'plain', 'utf-8')
f... | yanshuok/AirSpider | utils/emailUtil.py | emailUtil.py | py | 857 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "email.utils.parseaddr",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "email.utils.formataddr",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "email.header.Header",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "email.m... |
22699562212 | import setuptools
with open("README.md", "r") as fp:
long_description = fp.read()
setuptools.setup(
name="digit-sequence",
version="0.0.1",
author="Eshwanth",
author_email="eshwanth.95@gmail.com",
description="A package to generate image sequence of MNIST digits",
long_description=long_des... | esh-b/image-sequence-generator | setup.py | setup.py | py | 854 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "setuptools.setup",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 14,
"usage_type": "call"
}
] |
74434603518 | #!/usr/bin/python3
#-*- coding: utf-8 -*-
'''
Apriori and FP-Growth algorithm using external library MLxtend
This file is for testing purpose only,
my original implement please see apriori.py and fp_growth.py
@Version: MLxtend
@Author: Meiying Chen
@Date: 2019-10-16 20:33:18
@LastEditTime: 2019-10-17 10:40:22
'''
# ... | briandannenmueller/msds | DSC440 Data Mining/Projects/project1/Meiying_Chen_Project1/myMLxtend.py | myMLxtend.py | py | 1,270 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "mlxtend.preprocessing.TransactionEncoder",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "mlxtend.preprocessing",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "pandas.DataFrame",
"line_number": 24,
"usage_type": "call"
},
{
"a... |
37096245886 |
from django.shortcuts import redirect
from django.shortcuts import render, get_object_or_404
from django.utils import timezone
from .models import Post
from .models import Skill
from .models import Hobby
from .models import Responsibility
from .models import Experience
from .forms import PostForm
from .forms import Sk... | Tommysoppitt/BridgingCoursework-Blog | blog/views.py | views.py | py | 3,576 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "models.Skill.objects.all",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "models.Skill.objects",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "models.Skill",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "model... |
23563253999 | import numpy as np
import os
from random import *
import random
from datetime import datetime
random.seed(datetime.now())
def averageDataRG(data):
output=np.ones((int(data.shape[0]/2),int(data.shape[0]/2)))
for i in range(0,data.shape[0]-1,2):
for j in range(0,data.shape[1]-1,2):
output[int... | ellendmk/DL_and_RG | RG/RG_avg_3layers.py | RG_avg_3layers.py | py | 1,199 | python | en | code | 3 | github-code | 97 | [
{
"api_name": "random.seed",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "numpy.ones",
"li... |
25952506575 | import numpy as np
import cv2
from sklearn.externals import joblib
contMLP=0
contKNN=0
cap = cv2.VideoCapture(0)
while(1):
ret,frame = cap.read()
frame_resize = cv2.resize(frame,(100,100), interpolation = cv2.INTER_AREA)
cv2.imshow("img",frame_resize)
gray = cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)
... | pinoke98/Numbers2.0 | Prueba.py | Prueba.py | py | 2,187 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.resize",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.INTER_AREA",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "cv2.imshow",
"line... |
72557479998 | import os
from pathlib import Path
from typing import Annotated
from fastapi import Form, HTTPException, Request, UploadFile, status
from sqlalchemy.orm import Session
from src.models.post import Post
from src.schemas.post import SelectedPost
from src.utils.currunt_user_id import get_current_user_id
IMGDIR = "images... | vdtheone/social_media | src/services/post.py | post.py | py | 2,942 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "os.environ.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_... |
43214438371 | from abc import ABCMeta, abstractmethod
import random
import torch
import cv2
from ..transform.mosaic import merge_bboxes
import numpy as np
from torch.utils.data import Dataset
from ..transform import Pipeline
class BaseDataset(Dataset, metaclass=ABCMeta):
"""
A base class of detection dataset. Referring fro... | cxnaive/nanodet-TensorRT | nanodet/data/dataset/base.py | base.py | py | 5,028 | python | en | code | 12 | github-code | 97 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "abc.ABCMeta",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "transform.Pipeline",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "numpy.random.... |
74248324160 | import os
from tkinter import *
import tkinter.messagebox
from tkinter import filedialog
from pygame import mixer # helps play music
import time
from mutagen.mp3 import MP3
root = Tk() # creates_a_window
statusBar = Label(root, text="Music Player Running", relief=SUNKEN, anchor=W) # creating statusBar at... | Epsisri/MusicPlayer | music.py | music.py | py | 5,209 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "tkinter.filedialog.askopenfilename",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "tkinter.filedialog",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "tkinter.messagebox.showinfo",
"line_number": 31,
"usage_type": "call"
},
{
... |
71256665599 | ## built-in modules
import os
import time
from pathlib import Path
## pip installed modules
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.chrome.service import Service as ChromeService
from selenium.webdriver.edge.service import Service as EdgeService
def setup_dri... | TomTomToGo-Github/tttg_utils | tttg_utils/automation/selenium.py | selenium.py | py | 4,013 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "selenium.webdriver.chrome.service.Service",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.edge.service.Service",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.ChromeOptions",
"line_number": 23,
"... |
35630712368 | # FOR UNIT TESTS commented line 34
# This file contains all of the classes relating to Tools and placement
# so, the toolbar will recieve a click and say "selected_tool = LineDrawer()" for example
import pygame
from line import Line, LineManager, Orb
from sidebar import Sidebar
from toolbar import Toolbar
from datetim... | yoctometric/Acies | dev/tool.py | tool.py | py | 6,308 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "line.LineManager",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "sidebar.Sidebar",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "sidebar.hide",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "line.LineManager",
... |
8744221582 | import uuid
import datetime
def get_file_path(instance, filename):
ext = filename.split('.')[-1]
filename = "%s.%s" % (uuid.uuid4(), ext)
now = datetime.datetime.now().strftime('%y-%m')
if instance.Author.id is not None:
return 'media/{0}/{1}/{2}'.format(instance.Author.username, now, filenam... | startupify-tech/media-repository-system | src/core/utility.py | utility.py | py | 322 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "uuid.uuid4",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 9,
"usage_type": "attribute"
}
] |
10558115397 | from sqlalchemy.orm import Session
from app.db.models import Category as CategoryModel
from app.schemas.category import (
Category as CategorySchema,
)
class CategoryUseCases:
def __init__(self, db_session: Session) -> None:
self.db_session = db_session
def add_category(self, category: CategorySc... | giusepper11/product_management | app/use_cases/category.py | category.py | py | 780 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "sqlalchemy.orm.Session",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "app.schemas.category.Category",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "app.db.models.Category",
"line_number": 13,
"usage_type": "call"
},
{
"api_na... |
36820765626 | import os
import cv2
def RGBtoGray(file, file_url):
path = os.getcwd() + file_url
gray_image = cv2.imread(path, cv2.IMREAD_GRAYSCALE)
filename, extension = os.path.splitext(file)
gray_filename = filename + '_grayscale' + extension
gray_file_url = os.path.dirname(path) + '/' + gray_filenam... | megashinyabsol359/Cloudinary-2.0 | code/project/opencv.py | opencv.py | py | 1,170 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "os.getcwd",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.IMREAD_GRAYSCALE",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.path.splitext",
"l... |
24993933192 | #!/usr/bin/python3
import string
import cv2
import argparse
import time
def main():
# Process arguments
ap = argparse.ArgumentParser()
ap.add_argument('-path1', '--file_location1', type=str, required=True,
help='File directory1')
ap.add_argument('-path2', '--file_location2', type=... | rodrigof1998/PSR_21_22 | Parte5/main1.py | main1.py | py | 938 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "cv2.IMREAD_COLOR",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "cv2.imread",... |
354315986 | """ohca URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/4.0/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... | SterArcher/OHCA-registry-Slovenia | database/ohca-api/ohca/urls.py | urls.py | py | 1,210 | python | en | code | 4 | github-code | 97 | [
{
"api_name": "django.urls.path",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin.site",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "... |
22010074941 | '''Python | Frequency of each character in String'''
def solve(s):
dict={}
for i in s:
if i in dict:
dict[i]+=1
else:
dict[i]=1
return dict
def solve1(s):
from collections import Counter
return Counter(s)
#Using dict.get()
'''
get() method is used ... | yorkypy/selise-intervie | string/freqOfChar.py | freqOfChar.py | py | 764 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "collections.Counter",
"line_number": 16,
"usage_type": "call"
}
] |
17969156861 | from collections.abc import Mapping, Sequence
from typing import Any, Optional
import tensorflow as tf
from tensorflow_privacy.privacy.fast_gradient_clipping import type_aliases
from tensorflow_privacy.privacy.fast_gradient_clipping.registry_functions import registry_function_utils
def nlp_on_device_embedding_layer_c... | tensorflow/privacy | tensorflow_privacy/privacy/fast_gradient_clipping/registry_functions/nlp_on_device_embedding.py | nlp_on_device_embedding.py | py | 2,170 | python | en | code | 1,824 | github-code | 97 | [
{
"api_name": "tensorflow.keras",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "collections.abc.Sequence",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "collections.... |
33321538308 | from machinable import Component
from neuroh5.io import read_population_names
from typing import Dict
from miv_simulator.utils.io import H5FileManager
class NeuroH5Graph(Component):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self._graph = None
@property
def gra... | GazzolaLab/MiV-Simulator | src/miv_simulator/interface/neuroh5_graph.py | neuroh5_graph.py | py | 3,521 | python | en | code | 3 | github-code | 97 | [
{
"api_name": "machinable.Component",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "miv_simulator.utils.io.H5FileManager",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "neuroh5.io.read_population_names",
"line_number": 30,
"usage_type": "call"
},
... |
2653133497 | import logging
from operator import itemgetter
from ..lib import text
class AnswerEvaluator(object):
def __init__(self):
self.threshold = .01
def evaluate(self, played_question, proposal):
answers = filter(lambda a: text.word_count(proposal, clean=True) >=
min(text... | tbelhalfaoui/giddle | giddle/controllers/answer_evaluator.py | answer_evaluator.py | py | 1,159 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "lib.text.word_count",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "lib.text",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "lib.text.word_count",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "lib.text",
"line... |
33257532529 | import datetime
from pprint import pprint
import requests
from nonebot import on_command, CommandSession # 命令的对话
from nonebot import permission as perm
from .. import sql_tables as sql_
# def 前要加async
# send 前加await
# （二者搭配使用）试图处理多个消息（来自不同人消息）
# 用于python引进异步IO的两个关键字
@on_command('get_menber_count', aliases=['总人数']... | zuckerbergang/comlex-bot | complex_bot/plugins/group_check.py | group_check.py | py | 5,967 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "nonebot.CommandSession",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "nonebot.on_command",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "nonebot.permission.GROUP_MEMBER",
"line_number": 16,
"usage_type": "attribute"
},
{
"ap... |
2873893761 | from collections import OrderedDict
from glob import glob
from os.path import basename, exists, join, splitext
import numpy as np
from nnmnkwii.datasets import FileDataSource
# List of available speakers.
available_speakers = [
"225",
"226",
"227",
"228",
"229",
"230",
"231",
"232",
... | r9y9/nnmnkwii | nnmnkwii/datasets/vctk.py | vctk.py | py | 8,575 | python | en | code | 387 | github-code | 97 | [
{
"api_name": "os.path.join",
"line_number": 124,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 125,
"usage_type": "call"
},
{
"api_name": "collections.OrderedDict",
"line_number": 130,
"usage_type": "call"
},
{
"api_name": "nnmnkwii.datas... |
36391632661 | import traceback
from flask import render_template, redirect, request, url_for, session, flash
from app import db
from app.views.base_views import BaseViews
from app.blueprints.user_management.models.role import Role
from app.blueprints.user_management.models.audit import Audit
from app.blueprints.user_management.model... | alantelles/flask-highway-base-app | app/blueprints/user_management/views/roles.py | roles.py | py | 3,146 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "app.views.base_views.BaseViews",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "app.blueprints.user_management.models.role.Role.query.all",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "app.blueprints.user_management.models.role.Role.query",
... |
30291352838 | import io
import os
import threading
from datetime import datetime as dt
from pathlib import Path
import logging
from utils.validators import (
file_validate,
number_validate,
)
from utils.constants import (
russianAlphabet,
englishAlphbet,
digits,
log_file,
result_folder,
)
from utils.exce... | AlexanderPron/find_subtext | find_subtext.py | find_subtext.py | py | 9,033 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "utils.constants.russianAlphabet",
"line_number": 34,
"usage_type": "argument"
},
{
"api_name": "utils.constants.englishAlphbet",
"line_number": 34,
"usage_type": "argument"
},
{
"api_name": "utils.constants.digits",
"line_number": 34,
"usage_type": "argumen... |
71708555200 | import sqlite3
from sqlite3 import Error
from columnar import columnar
from click import style
from termcolor import cprint
def create_connection(db_file):
conn = None
try:
conn = sqlite3.connect(db_file)
except Error as e:
print(e)
return conn
def create_tables(conn):
sql_cre... | dcarrillox/snpediator | src/snpediator/local_db.py | local_db.py | py | 7,014 | python | en | code | 4 | github-code | 97 | [
{
"api_name": "sqlite3.connect",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sqlite3.Error",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "sqlite3.Error",
"line_number": 43,
"usage_type": "name"
},
{
"api_name": "click.style",
"line_n... |
32532808872 | import re
import sqlite3 as sq
import datetime
import requests
#from django.utils.dateparse import parse_datetime
URL = 'https://auto.ria.com/api/search/auto?indexName=auto%2Corder_auto%2Cnewauto_search&price_ot=1¤cy=1' \
'&abroad=2&custom=1&page=0&countpage=20&with_feedback_form=1&withOrderAutoInformer=1&w... | dimon1512b/Parse_old_car | main.py | main.py | py | 4,847 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "datetime.datetime.now",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "re.search",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "requests.get",... |
28861098715 | import tensorflow as tf
import tensorflow_probability as tfp
from tensorflow import keras
from tensorflow.keras import Input, Model
tfd = tfp.distributions
tfpl = tfp.layers
tfkl = tf.keras.layers
class MLPNet(keras.Model):
"""Create a Multilayer Perceptron (MLP) model with Normal distribution output."""
... | nicenustian/bayesian-resnet-convnet-search-regression | MLPNet.py | MLPNet.py | py | 2,602 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "tensorflow_probability.distributions",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "tensorflow_probability.layers",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.keras",
"line_number": 8,
"usage_type": "attribute"... |
19396158865 | from flask import Flask
from Models.User import User
from config import session_key, app_config, jwt_secret
from Controllers import AuthRoutes, ErrorRoutes, ReviewRoutes, BookRoutes
from Services.Database.database_monoengine import db
from flask_jwt_extended import JWTManager
from flask_login import LoginManager
from f... | tobiashungwe/mybookreview | manage.py | manage.py | py | 1,519 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "flask.Flask",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "config.session_key",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "config.app_config",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "config.app_config",
... |
73930089919 | '''
Created on 5 Apr 2017
@author: jdrumgoole
'''
import pymongo
if __name__ == '__main__':
client = pymongo.MongoClient()
database = client[ "b2b" ]
zips_collection = database[ "zips" ]
print(
'''
We can use query operators to produce more fine grained queries.
For instance to find zip cod... | jdrumgoole/back-to-basics-with-mongodb | python/_6_query_operators.py | _6_query_operators.py | py | 2,015 | python | en | code | 6 | github-code | 97 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 11,
"usage_type": "call"
}
] |
37535748794 | import click
import dateparser
from typing import Dict
import constants
from flask import Flask
from menu import get_menu
from menu.recipes import get_recipe
from utils import cache
app = Flask(__name__)
cache.init_app(app)
@click.command()
@click.argument("when", default="today")
def menu(when: str) -> None:
... | luizribeiro/menu | cli.py | cli.py | py | 1,452 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "flask.Flask",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "utils.cache.init_app",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "utils.cache",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "dateparser.parse",
"... |
33212735960 | #!/usr/bin/python
import argparse
from HashInfo import *
from SignatureForger import *
def printOutput(signature):
print("****************************************************")
print("* Signature successfully generated! *")
print("****************************************************")
print(""... | hoeg/BleichenbacherSignatureForger | Forge.py | Forge.py | py | 1,484 | python | en | code | 9 | github-code | 97 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 20,
"usage_type": "call"
}
] |
13992960302 | import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
import gym # 包含CartPole的平台环境
import matplotlib.pyplot as plt # 绘图
# Hyperparameters
BATCH_SIZE = 32 # 样本数量
LR = 0.01 # 学习率
EPSILON = 0.9 # greedy policy
GAMMA = 0.9 # reward discount
TARGET_REPLACE_ITER = 100 # 目标网络更新频率
MEMORY... | Baokker/my_deep_learning_tutorial | DQN_learning/dqn_test.py | dqn_test.py | py | 6,470 | python | zh | code | 1 | github-code | 97 | [
{
"api_name": "gym.make",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "torch.nn.Module",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "torch.nn.Linear",
"line_nu... |
25274435672 | from karim.secrets import secrets
import telegram.bot
from telegram.ext import messagequeue as mq
class MQBot(telegram.bot.Bot):
def __init__(self, *args, is_queued_def=True, mqueue=None, **kwargs):
super(MQBot, self).__init__(*args, **kwargs)
# below 2 attributes should be provided for decorator ... | VIKASIND2/karim | karim/classes/mq_bot.py | mq_bot.py | py | 1,424 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "telegram.bot.bot",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "telegram.bot",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "telegram.ext.messagequeue.MessageQueue",
"line_number": 10,
"usage_type": "call"
},
{
"api_name"... |
69928796158 | # -- coding: utf-8 --
import torch.nn.init as init
import math
def weights_init(init_type='gaussian'):
def init_fun(model):
classname = model.__class__.__name__
if (classname.find('Conv') == 0 or classname.find('Linear') == 0) and hasattr(m, 'weight'):
if init_type == 'gaussian':
... | engixy/PytorchFrame | weight_init.py | weight_init.py | py | 1,019 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "torch.nn.init.normal_",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.nn.init",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "torch.nn.init.xavier_normal_",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "torc... |
11477977123 | from django.contrib.auth.models import User
from django.http import HttpResponseForbidden
from rest_framework import viewsets
from rest_framework.decorators import detail_route
from rest_framework.permissions import IsAuthenticatedOrReadOnly
from rest_framework.response import Response
from rest_framework.status import... | DheerendraRathor/AmenityFinder-Server | post/views.py | views.py | py | 6,716 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "core.mixins.SerializerClassRequestContextMixin",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "rest_framework.viewsets.ModelViewSet",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.viewsets",
"line_number": 16,
"us... |
73860149757 | from fastapi import FastAPI
from datetime import datetime
from typing import List
app = FastAPI()
# Classes
class Cuenta:
def __init__(self, numero, dueno, saldo, contactos):
self.numero = numero
self.dueno = dueno
self.saldo = saldo
self.contactos = contactos
self.operacio... | AaronCS25/software-final | main.py | main.py | py | 3,629 | python | es | code | 0 | github-code | 97 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 75,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 75,
"usage_type": "name"
}
] |
40430535886 | import xml.etree.ElementTree as etree
import urllib.request as pagegrab
import sys
import audiotranscode as at
def getPuzzleInformation(text):
puzzleinfo = {}
try:
with pagegrab.urlopen('https://s3.amazonaws.com/shadowpuzzle/' + text + '.xml') as response:
theXML = response.read()
... | Meorge/DNBHL-Desktop | parseXML.py | parseXML.py | py | 2,274 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "urllib.request.urlopen",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "urllib.request",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "xml.etree.ElementTree.fromstring",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "... |
33910922731 | import csv
import json
import requests
def get_json(url):
try:
print("HTTP GET", url)
r = requests.get(url)
json_dict = r.json()
return json_dict
except requests.exceptions.RequestException as error:
print(error)
def download_json(url, filepath):
try:
prin... | uchiumi-dtws/estat-api | utils.py | utils.py | py | 980 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "requests.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "requests.exceptions",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "requests.get",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"l... |
9033237791 | import requests
from bs4 import BeautifulSoup
def baixar_arquivo(url, endereco):
resposta = requests.get(url)
with open(endereco, 'wb') as novo_arquivo:
novo_arquivo.write(resposta.content)
if __name__ == '__main__':
url = 'https://math.mit.edu/classes/18.745/Notes/Lecture_1_Notes.pdf'
baixa... | eduardo-almeida/automacao | baixar_arquivos.py | baixar_arquivos.py | py | 346 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "requests.get",
"line_number": 5,
"usage_type": "call"
}
] |
36280366148 | # coding=utf-8
"""
All is a module that contains misc. function that can be called from everywhere.
"""
from collections import namedtuple
from typing import List
from trader.interface.constants import ALL_RESOURCES, METAL, CRYSTAL, DEUTERIUM, ENERGY, TIMEOUT
from trader.interface.screen.base_screen import Screen
from... | bonnetn/trader | trader/interface/screen/generic_screen.py | generic_screen.py | py | 3,024 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "trader.interface.constants.METAL",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "trader.interface.constants.CRYSTAL",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "trader.interface.constants.DEUTERIUM",
"line_number": 15,
"usage_type... |
1435488893 | # -----------------------------------------------------------
# The db class contains all functionality towards the mongoDB.
# It is a singleton and the instance can be obtained from
# db.get_instance() method.
#
#
# 2021 Andre Scheir Johansson
# email: scheir5@hotmail.se
# --------------------------------------------... | Scheir/pythonStuff | database.py | database.py | py | 4,855 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "os.getenv",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "pymongo.MongoClient",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "bson.ObjectId",
"line_num... |
22924938476 | from django.shortcuts import render, redirect
from .models import Project, Bug, Screenshot
from django.contrib.auth.models import User
from django.contrib.auth import login, authenticate
from django.contrib.auth.forms import UserCreationForm
from .forms import SignUpForm
from django.contrib.auth.decorators import login... | partridgep/bugtracker | main_app/views.py | views.py | py | 12,306 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "django.contrib.auth.models.User.objects.get",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.models.User.objects",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.auth.models.User",
"line_number": 29,... |
25073234350 | from repository.banco_de_dados import BancoDeDados
from utils.relatorio import obter_dados_acao
banco = BancoDeDados()
def menu_clientes():
working = True
while working:
print(
"""
Consultar informações de usuário:
1 - Inserir novo cliente
... | til021/nuclea-python-finance | utils/functions_menu.py | functions_menu.py | py | 2,935 | python | pt | code | 0 | github-code | 97 | [
{
"api_name": "repository.banco_de_dados.BancoDeDados",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "utils.relatorio.obter_dados_acao",
"line_number": 122,
"usage_type": "call"
}
] |
8049456366 | from snakegame.state import Coordinate, GameState, TileState, NORTH, EAST, SOUTH, WEST
from snakegame.board_builder import board_builder
from snakegame.time_manager import TimeManager
import pygame
TEAL = pygame.color.Color(163, 240, 238)
RED = pygame.color.Color(255, 0, 0)
GREEN = pygame.color.Color(0, 255, 0)
TAILGRE... | sneakyspy/snakegame | snakegame/__init__.py | __init__.py | py | 2,542 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pygame.color.Color",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pygame.color",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "pygame.color.Color",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pygame.color",
... |
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