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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
71673575399 | #!/bin/env python
import csv
import requests
from io import StringIO
import difflib
url = 'https://docs.google.com/spreadsheet/ccc?key='\
'1H77kqiz1R7xVBRXxjjMCqk_3AMF6P6qIMi6p2FEL_us&output=csv'
response = requests.get(url)
assert response.status_code == 200, 'Wrong status code'
buff = StringIO(response.conten... | colatkinson/axp_lineage | typos.py | typos.py | py | 726 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "requests.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "io.StringIO",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "difflib.get_close_matches",
"... |
28291725570 | import logging
from datetime import timedelta
from pathlib import Path
logging.basicConfig(filename="telescreen.log", level=logging.DEBUG)
# -----------Slide Sources-----------
# page which lists all the slide-urls
wikipedia_list_page = "Benutzer:Meisam/test"
wikipedia_lang = "de"
# list of the users who are allowed... | meisam-wiki/telescreen | configs.py | configs.py | py | 1,227 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "logging.basicConfig",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
... |
16192783531 | #!/usr/bin/env python3
import os,sys,re,yaml,subprocess,pickle
import os.path as osp
import numpy as np
from easydict import EasyDict as edict
trainCommandTemplate = "./tools/train_net.py --iters {} --imdb mnist-{}-default --cfg ./experiments/cfgs/cls_mnist_al.yml --solver ./models/mnist/{}/solver.prototxt --solver_st... | PurdueCAM2Project/metaDatasetGenerator | experiments/scripts/mnist_al.py | mnist_al.py | py | 8,462 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "easydict.EasyDict",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "yaml.load",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "subprocess.Popen",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "subprocess.PIPE",
"l... |
74547605481 | # -*- coding: utf-8 -*-
from odoo import models, fields, api, _
from odoo.exceptions import UserError, ValidationError
import odoo.addons.decimal_precision as dp
from datetime import datetime
from dateutil.relativedelta import relativedelta
import math
import logging
EPS = 0.00001
_logger = logging.getLogger(__name__... | AllianceWebcoop/webcoop_source | wc_upgrade_ver10_0_1_5/b563_b589/deduction.py | deduction.py | py | 1,557 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "odoo.models.Model",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "odoo.models",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "odoo.fields.Bool... |
43366224720 | import os
import sys, time, random
from zipfile import ZipFile
from PyQt6.QtWidgets import QApplication, QWidget, QFileDialog, QMessageBox, QDialog, QVBoxLayout, QLabel
from PyQt6.QtGui import QIcon
from PyQt6 import uic, QtGui, QtCore, QtWidgets
from threading import Thread
from pathlib import Path
s... | USharma002/py-sudoku | main.py | main.py | py | 7,451 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.setrecursionlimit",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "PyQt6.uic.loadUiType",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "PyQt6.uic",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "os.path.isdir",
... |
31481689048 | from selenium import webdriver
from selenium.webdriver.chrome.service import Service
from webdriver_manager.chrome import ChromeDriverManager
from selenium.webdriver.common.by import By
import time
# Signup
class Quantibly():
def test_signup_valid(self):
base_url = 'https://app.quantibly.com/register/'
... | Morshedul530/Quantibly_Test | Authentication/1.Signup/signup_demo.py | signup_demo.py | py | 2,285 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.chrome.service.Service",
"line_number": 12,
"usage_type": "call"
},
{... |
71210879399 | #!/usr/bin/env python
# coding: utf-8
#Venn diagrams
import pandas as pd
ibd_data = pd.read_pickle("datasetspandas/dutch_export_transposed_ibd_binary.pkl")
ibd_data.rename(columns={'Unnamed: 0': 'sample_id'}, inplace=True)
ibd_data.index.name = 'sample_id'
#Fetch cohort ID
covariates = pd.read_excel("Covariates/CDvsU... | GRONINGEN-MICROBIOME-CENTRE/Phip-Seq_LLD-IBD | IBD/04_Venndiagrams.py | 04_Venndiagrams.py | py | 3,699 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.read_pickle",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pandas.read_excel",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "matplotl... |
37503254047 | """ Example: plotting Zarrow's non-classical Schottky group.
Robert Zarrow. "Classical and non-classical Schottky groups". In: Duke Mathematical Journal (42)4, 1975. pp.717--724.'
"""
from bella import cayley
import holoviews as hv
hv.extension('bokeh')
from mpmath import mp
from functools import reduce
class Za... | aelzenaar/bella | examples/zarrow.py | zarrow.py | py | 2,143 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "holoviews.extension",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "bella.cayley.GroupCache",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "bella.cayley",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "mpmath.m... |
11770536504 | import numpy as np
import matplotlib.pyplot as plt
from sklearn.datasets import make_blobs
# Function: K Means
# -------------
# K-Means is an algorithm that takes in a dataset and a constant
# k and returns k centroids (which define clusters of data in the
# dataset which are similar to one another).
# maxIt最大... | owencwl/DemoPython | MachineLearning/K_means.py | K_means.py | py | 4,610 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "numpy.zeros",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.random.randint",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "numpy.copy",
"... |
1419954428 | import networkx as nx
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
fileWithIps = open("ipList.txt", "r")
def getIpList(file):
clients = []
servers = []
routers = []
connections = []
for line in file:
if line[0:1] == "0" and line[1] == ":":
nonZeroLine = lin... | ermilovim/diplom | getIpList.py | getIpList.py | py | 4,307 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "matplotlib.image.imread",
"line_number": 81,
"usage_type": "call"
},
{
"api_name": "matplotlib.image",
"line_number": 81,
"usage_type": "name"
},
{
"api_name": "matplotlib.image.imread",
"line_number": 82,
"usage_type": "call"
},
{
"api_name": "matp... |
16203917365 | from datetime import datetime
from app.baseModel import fields, pydantic_model_creator, BaseModel
class WeeklyConfigModel(BaseModel):
name = fields.TextField(description="名字")
parent = fields.IntField(null=True, default=None, description="上一级的id，有上一级则为项目，否则为产品")
desc = fields.TextField(description="备注")
... | zhongyehai/test-platform-fastapi-api | app/test_work/models/weekly.py | weekly.py | py | 3,312 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "app.baseModel.BaseModel",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "app.baseModel.fields.TextField",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "app.baseModel.fields",
"line_number": 7,
"usage_type": "name"
},
{
"api_name... |
30063117645 | import datetime
import sqlalchemy as sa
from sqlalchemy.orm import sessionmaker
from sqlalchemy.ext.declarative import declarative_base
DB_PATH = "sqlite:///sochi_athletes.sqlite3"
from datetime import datetime, date, time
# базовый класс моделей таблиц
Base = declarative_base()
class User(Base):
"""... | solver13/B412 | B4_12_athlets.py | B4_12_athlets.py | py | 10,991 | python | ru | code | 0 | github-code | 18 | [
{
"api_name": "sqlalchemy.ext.declarative.declarative_base",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integer",
"line_number": 19,
"usage_type": "attribute"
},
{
... |
6798448104 | # from os.path import dirname
import urllib.request
import base64
import argparse
import os.path
key = "<your api key>"
parser = argparse.ArgumentParser(description="Shrink PNGs with TinyPNG")
parser.add_argument("input", type=argparse.FileType("rb"), help="input PNG")
args = parser.parse_args()
request = urllib.req... | NLZ/TinyPNG-Python | tinypng.py | tinypng.py | py | 1,532 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "argparse.FileType",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "urllib.request.request.Request",
"line_number": 13,
"usage_type": "call"
},
{
"api_name"... |
6830268038 | from Queues import *
from Account import *
import json
import ConfigParser
import couchdb
import ast
import Pyro4
import random
import logging
__author__ = 'Stian Stroem Anderssen'
class Config:
"""
This module aims to build and keep track of the manager objet during runtime. Every time a user creation is
... | s177437/uptime_challenge | managers/Config.py | Config.py | py | 10,292 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "Pyro4.Proxy",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 117,
"usage_type": "call"
},
{
"api_name": "ConfigParser.SafeConfigParser",
... |
1367303063 | from turtle import pd
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
# Import the MarkovChain class from markovchain.py
from markovchain import MarkovChain
import random as random
# P = np.array([[0.8, 0.2], [0.1, 0.9]]) # Transition matrix
# mc = MarkovChain(P, ['1', '2'])
# mc.draw()
# Ga... | noorulislam770/stochasticsProcesses | test.py | test.py | py | 2,639 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "random.randrange",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "matplotlib.... |
11046028048 | import unittest
import torch
from utils import read_py_config, build_model, check_file_exist
class ExportError(Exception):
pass
class TestONNXExport(unittest.TestCase):
def setUp(self):
config = read_py_config('./configs/config.py')
self.config = config
self.model = build_model(conf... | tfygg/light-weight-face-anti-spoofing | tests.py | tests.py | py | 907 | python | en | code | null | github-code | 18 | [
{
"api_name": "unittest.TestCase",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "utils.read_py_config",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "utils.build_model",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.r... |
7315288492 | from PyQt5.QtCore import pyqtSignal, QObject
from PyQt5.QtWidgets import QFileDialog
from os import getcwd
class OptionsDialogFunctions(QObject):
saveSettingsRequest = pyqtSignal(dict)
def __init__(self, widget, ui, settings):
super(OptionsDialogFunctions, self).__init__(widget.parent())
self.... | TheRealBanana/movie_organizer | src/logic/options_dialog_functions.py | options_dialog_functions.py | py | 2,449 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "PyQt5.QtCore.QObject",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtCore.pyqtSignal",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QFileDialog",
"line_number": 49,
"usage_type": "call"
},
{
"api_name":... |
10370566279 | import time
import datetime
import numpy as np
from app.utils import utils
from app.utils.portfolio import Portfolio
from app.usecases.get_recommended_weights import get_recommended_weights
from app.usecases.get_simulation_hull import get_simulation_hull
from app.models.sector import GICS_DATA
from dateutil.relativedel... | VIVKA/fminvest | app/usecases/get_portfolio.py | get_portfolio.py | py | 4,116 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "datetime.datetime.today",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.today",
"line_number": 18,
"usage_type": "call"
},
{
"api_name":... |
961255708 | import serial
import re
import math
from openpyxl import *
# To get the relative data from the data
def get_data(getdata_data,baseline):
getdata_result = [0] * 9
for i in range(9):
getdata_result[i] = abs(float(getdata_data[i]) - float(baseline[i])) / float(baseline[i])
return getdata_result
# ... | benielT/GestAKey | data/data_read.py | data_read.py | py | 10,890 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "math.sqrt",
"line_number": 139,
"usage_type": "call"
},
{
"api_name": "serial.Serial",
"line_number": 222,
"usage_type": "call"
},
{
"api_name": "socket.socket",
"line_number": 225,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_n... |
6423744654 | #! /usr/bin/env python
# coding: utf-8
import json, random
from flask import Flask, render_template, request
from . import constant as const
from gpbapp.classes import LocationSearch, Parser
from gpbapp.function import infos_wikipedia
app = Flask(__name__)
@app.route('/')
@app.route('/index/')
def index():
ret... | riderflo85/grandpybot | gpbapp/views.py | views.py | py | 1,560 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "flask.request.args.get",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "flask.reques... |
5751475993 | import math
from abc import ABC, abstractmethod
from dataclasses import dataclass
from typing import Callable
def print_header():
print("Задание #4_2. Приближённое вычисление интеграла по квадратурным формулам\n")
def get_input(value_name: str, msg: str, default_value: float) -> float:
try:
value = ... | vad-ii-k/Computing_practicum_5th_semester | lw4_2.py | lw4_2.py | py | 4,804 | python | ru | code | 0 | github-code | 18 | [
{
"api_name": "abc.ABC",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "typing.Callable",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "abc.abstractmethod",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "dataclasses.dataclass",
... |
10759236484 | from __future__ import annotations
import os
from enum import Enum, auto
from typing import List, Optional
from skytemple_files.common.types.data_handler import DataHandler
from skytemple_files.common.util import OptionalKwargs, read_bytes
from skytemple_files.compression_container.at3px.handler import At3pxHandler
f... | SkyTemple/skytemple-files | skytemple_files/compression_container/common_at/handler.py | handler.py | py | 5,549 | python | en | code | 16 | github-code | 18 | [
{
"api_name": "enum.Enum",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "enum.auto",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "skytemple_files.compression_container.at4pn.handler.At4pnHandler",
"line_number": 21,
"usage_type": "name"
},
{
... |
29957871297 | # -*- coding: utf-8 -*-
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.3.3
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
import os
import pandas as pd
f... | sugiyama34/AIciaSolidProject | 049.factor analysis - 因子分析/factor analysis.py | factor analysis.py | py | 1,553 | python | en | code | 157 | github-code | 18 | [
{
"api_name": "pandas.read_csv",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "pandas_profiling.ProfileRep... |
25677185449 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2023/4/21 23:57
# @Author : cap669
# @File : XJob.py
# @Software: PyCharm
import datetime
import traceback
from peewee import Model
from peewee import fn
from playhouse.pool import PooledPostgresqlDatabase
from root.base.wrapper.EvsWrapper import EvsWrapper... | niekuiqiang00278/Mantle | root/plux/XJob.py | XJob.py | py | 9,707 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pydantic.BaseModel",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "datetime.datetime",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "peewee.Model",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "peewee.Model",... |
4119590089 | from genericpath import isdir
from PIL import Image
import numpy as np
import os
def get_paths(dir):
paths = []
for path in os.listdir(dir):
if os.path.isdir(dir + '/' + path):
print('\rReading {} ...'.format(dir + '/' + path), end = '')
paths += get_paths(dir + '/' + ... | windswiii/Programming-python-exercise | week_08/pic_load.py | pic_load.py | py | 1,179 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.listdir",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path.isdir",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "PIL.Image.open",
"line_number"... |
16378684140 | import os
from imutils.video import FPS
import cv2
import math
def video_to_frames(input_loc, output_loc):
path=os.listdir(input_loc)
count=1
for i in path:
try:
main_folder=os.path.join(input_loc,i)
for folder in os.listdir(main_folder):
print(f... | CodeWithEhtisham/vehicle-dataset | videos_to_images.py | videos_to_images.py | py | 1,599 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.listdir",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number": 1... |
3021459378 | #
import numpy as np
import cv2
import torch
try:
import toolkit.customsnippets as customsnippets
except:
import customsnippets
try:
import toolkit.methodspaths as methodspaths
except:
import methodspaths
hardcodedsize = (640, 640) # yolox specific
def preprocess_img(in_img):
#hardcodedsize = ... | JoaoPMonteiro/epoche | toolkit/handledetection.py | handledetection.py | py | 5,889 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "cv2.resize",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "cv2.INTER_AREA",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "numpy.moveaxis",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.moveaxis",
"l... |
7256993671 | from db_connector import DataBase
from queries import *
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import math
import os
db = DataBase('results.db')
num_targets = [21, 32, 33, 64]
num_discretizations = [2, 4, 6]
result_category = ['optimal', 'infeasible', 'timed-out']
row_list = []
for t... | sujeevraja/fixed-wing-drone-orienteering | final-results/create_results.py | create_results.py | py | 4,587 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "db_connector.DataBase",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pandas.to_numeric",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "pandas.... |
37678171394 | """
- отдельная заметка передаётся на страницу со списком заметок в списке `object_list` в словаре `context`;
- в список заметок одного пользователя не попадают заметки другого пользователя;
- на страницы создания и редактирования заметки передаются формы.
"""
from django.shortcuts import reverse
from django.test imp... | PracticumGrade/ya_note_with_tests | notes/tests/test_content.py | test_content.py | py | 3,032 | python | ru | code | null | github-code | 18 | [
{
"api_name": "django.contrib.auth.get_user_model",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.test.TestCase",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "notes.models.Note",
"line_number": 23,
"usage_type": "call"
},
{
"api_nam... |
8907437697 | # -*- coding:utf-8 -*-
from model_7th import *
from Cal_measurement import *
from random import random
from model_profiler import model_profiler
from color_to_gray import *
import matplotlib.pyplot as plt
import numpy as np
import easydict
import os
FLAGS = easydict.EasyDict({"img_height": 256,
... | Kimyuhwanpeter/Multi-class_marine | train_7th.py | train_7th.py | py | 16,197 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "easydict.EasyDict",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 47,
"usage_type": "attribute"
},
{
"api_name": "random.random",
"l... |
73494232040 | from datetime import datetime
first_time = str(input('Enter the first date in yyyy-mm-dd hh:mm format: '))
second_time = str(input('Enter the second date in yyyy-mm-dd hh:mm format: '))
avg_value_Grafana = float(input('Enter the numeric average value from Grafana in the time period of interest: '))
print("""Press:
1 ... | filippo14/GB-calculator | calculator.py | calculator.py | py | 1,797 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "datetime.datetime.strptime",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 17,
"usage_type": "call"
},
{
"api_name"... |
75107834280 | import tensorflow as tf
from tensorflow.python.layers.core import Dense
from config import global_batch_size, max_line_length
def model_inputs():
'''Create palceholders for inputs to the model'''
input_data = tf.placeholder(tf.int32, [None, None], name='input')
targets = tf.placeholder(tf.int32, [None, No... | EugeneBilenko/lstm_chatter_box_example | core/seq_to_seq.py | seq_to_seq.py | py | 9,246 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "tensorflow.placeholder",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "tensorflow.int32",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.placeholder",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "tens... |
8882385726 | from random import randint
from itertools import product
from argparse import ArgumentParser
import pygame as pg
SPEED = 3
# the size of a tile
TILE_X = 30
TILE_Y = 20
# how many tiles
BOARD_WIDTH = 30
BOARD_HEIGHT = 40
COLOR_WHITE = (250, 250, 250)
COLOR_BLACK = (240, 240, 240)
COLOR_SNAKE = (128, 128, 0)
COLOR_F... | ue12-p22/python-solutions | snake.py | snake.py | py | 4,186 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pygame.Rect",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "pygame.draw.rect",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "pygame.draw",
"line_number": 52,
"usage_type": "attribute"
},
{
"api_name": "itertools.product",
... |
34354563411 | import requests
from bs4 import BeautifulSoup
from random import choice
from datetime import datetime, date
import json
import os
#main url to which relative urls will be appended
BASE_URL = "http://quotes.toscrape.com/"
print("Welcome to the random quote game!\n")
#function that scrapes the quotes w... | electrical-breakdown/quote-scraper | quote_scraper.py | quote_scraper.py | py | 7,417 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.getcwd",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number":... |
74518812198 | from rest_framework import serializers
from rest_auth.registration.serializers import RegisterSerializer
from space_manager.branches import serializers as branch_serializers
from allauth.account.adapter import get_adapter
from allauth.account.utils import setup_user_email
from space_manager.membership import models as ... | yoojat/Space-Manager | space_manager/users/serializers.py | serializers.py | py | 5,099 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "space_manager.branches.serializers.BranchForMembershipSerializer",
... |
29729102937 | from pydantic import BaseModel, validator
from tracardi.domain.named_entity import NamedEntity
from typing import Optional
from tracardi.service.plugin.domain.config import PluginConfig
class Config(PluginConfig):
source: NamedEntity
project_id: str
funnel_id: str
from_date: str
to_date: Optional[... | Tracardi/tracardi | tracardi/process_engine/action/v1/connectors/mixpanel/fetch_funnel/model/config.py | config.py | py | 1,248 | python | en | code | 430 | github-code | 18 | [
{
"api_name": "tracardi.service.plugin.domain.config.PluginConfig",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "tracardi.domain.named_entity.NamedEntity",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 12,
"usage_typ... |
14574538630 | from flask import Flask, render_template,request, redirect, send_from_directory, abort, Blueprint, g
from flask_login import LoginManager, login_required, login_user, current_user,logout_user
import pymysql
import pymysql.cursors
login_manager= LoginManager()
app = Flask(__name__)
login_manager.init_app(app)
app.con... | Cherry342/social-media | main.py | main.py | py | 5,674 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask_login.LoginManager",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pymysql.connect",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "pymysql.cursors",
... |
29729568307 | from datetime import datetime
from pydantic import validator
from tracardi.domain.profile import Profile
from tracardi.service.plugin.domain.config import PluginConfig
from tracardi.service.plugin.domain.register import Plugin, Spec, MetaData, Documentation, PortDoc, Form, FormGroup, \
FormField, FormComponent
f... | Tracardi/tracardi | tracardi/process_engine/action/v1/segmentation/delete/plugin.py | plugin.py | py | 3,152 | python | en | code | 430 | github-code | 18 | [
{
"api_name": "tracardi.service.plugin.domain.config.PluginConfig",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "pydantic.validator",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "tracardi.service.plugin.runner.ActionRunner",
"line_number": 28,
"u... |
40587968434 | """
Single positive training label (random choice), multiple label for test labels.
"""
import argparse
from pathlib import Path
import random
from video_datasets_api.wray_multiverb.beoid import read_all_annotations_thresholded
parser = argparse.ArgumentParser(
"Generate splits of BEOID dataset (Wray)"
)
parser.... | kiyoon/PyVideoAI | tools/datasets/beoid_42verb_splits.py | beoid_42verb_splits.py | py | 2,996 | python | en | code | 22 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
... |
13286929782 | from datetime import datetime
import logging
import pandas as pd
__all__ = ('PRT_MSDSFetcher',)
from utils.fetcher.base_epidemiology import BaseEpidemiologyFetcher
from utils.helper import int_or_none
"""
site-location: https://github.com/dssg-pt/covid19pt-data
COVID19-Portugal Data for Portugal created, maintained... | covid19db/fetchers-python | src/plugins/PRT_MSDS/fetcher.py | fetcher.py | py | 3,943 | python | en | code | 5 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "utils.fetcher.base_epidemiology.BaseEpidemiologyFetcher",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "pandas.read_csv",
"line_number": 27,
"usage_type": "call"
},
... |
5772097362 | from django.shortcuts import render
import json
import urllib.request
# Create your views here.
API_KEY = '4f526819847b8e90e06317f9d335f65b'
def index(request):
if request.method == 'POST':
city = request.POST['city']
res = urllib.request.urlopen('http://api.openweathermap.org/data/2.5/weather?q={... | HarryCheng1110/django_weatherApp | weatherapp/views.py | views.py | py | 934 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "urllib.request.request.urlopen",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "urllib.request.request",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "urllib.request",
"line_number": 11,
"usage_type": "name"
},
{
"api_nam... |
37871071121 | from rest_framework.test import APIClient
from django.urls import reverse
import pytest
from datetime import datetime
from accounts.models import User
@pytest.fixture
def api_client():
client = APIClient()
return client
@pytest.fixture
def common_user():
user = User.objects.create_user(
email="a... | AliBigdeli/Django-Advance-Blog | core/blog/tests/test_post_api.py | test_post_api.py | py | 1,837 | python | en | code | 9 | github-code | 18 | [
{
"api_name": "rest_framework.test.APIClient",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "accounts.models.User.objects.create_user",
"line_number": 16,
"usage_type": "call"
},
... |
26161547025 | import pandas as pd
import numpy as np
from selenium import webdriver
import time
property_name = []
number_of_reviews = []
area = []
link = []
property_rating = []
page = 1
stop_number = 16
webpage = 'https://www.airbnb.com/s/Rwanda/homes?tab_id=home_tab&refinement_paths%5B%5D=%2Fhomes&flexible_trip_' \... | Molo-M/Rwanda-s-Fame-Analysis- | Webscraping Programs/airbnb scraper.py | airbnb scraper.py | py | 3,186 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "time.sleep",
... |
11194836250 | from sklearn import preprocessing
import pandas as pd
import numpy as np
race = pd.read_csv('racedata2019.csv')
for i, chaku in enumerate(race.着順):
if chaku==1:
race.at[i, "入賞"] = 0
elif chaku==2:
race.at[i, "入賞"] = 0
elif chaku==3:
race.at[i, "入賞"] = 0
else:
race.at[i,... | thajime0125/keiba | seikika2.py | seikika2.py | py | 845 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.read_csv",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.MinMaxScaler",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing",
"line_number": 17,
"usage_type": "name"
},
{
"api_name"... |
26517581875 | from typing import NamedTuple
from .huber import huber
import sonnet as snt
import tensorflow as tf
class QuantileDistribution(NamedTuple):
values: tf.Tensor
logits: tf.Tensor
class NonUniformQuantileRegression(snt.Module):
"""Compute the quantile regression loss for the distributional TD error."""
def __... | deepmind/acme | acme/tf/losses/quantile.py | quantile.py | py | 2,317 | python | en | code | 3,100 | github-code | 18 | [
{
"api_name": "typing.NamedTuple",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "tensorflow.Tensor",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.Tensor",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "sonnet.... |
22545073272 | from unittest import TestCase
from zoo.group_chatbot.skills.message_frequency_restricter import MessageFrequencyRestricter
from kaia.eaglesong.drivers.telegram import TelegramScenario as S
from kaia.eaglesong.core import Return
from datetime import datetime
class MessageFrequencyRestricterTestCase(TestCase):
def t... | okulovsky/kaia | zoo/group_chatbot/tests/test_message_frequency_restrictor.py | test_message_frequency_restrictor.py | py | 999 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "unittest.TestCase",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "zoo.group_chatbot.skills.message_frequency_restricter.MessageFrequencyRestricter",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "kaia.eaglesong.core.Return",
"line_number": ... |
32475307722 | import time
# import os
# os.environ['NUMEXPR_MAX_THREADS'] = '16'
import streamlit as st
import numpy as np
import pandas as pd
st.set_page_config(
page_title="测试",
page_icon="random",
layout="centered",
initial_sidebar_state="collapsed",
)
st.title('我的第一个应用程序')
st.write("尝试创建**表格**：")
df = pd... | Tora-hsu/webtest | Home.py | Home.py | py | 1,840 | python | zh | code | 0 | github-code | 18 | [
{
"api_name": "streamlit.set_page_config",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "streamlit.title",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "streamlit.write",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pandas.Data... |
23183431708 | import requests
from os import system
import json
from tokens import API_TOKEN, API_TOKEN_SECRET
import base64
import urllib.parse
TOKEN = ''
def create_barear_token():
global TOKEN
OAUTH2_TOKEN = 'https://api.twitter.com/oauth2/token'
consumer_key = urllib.parse.quote(API_TOKEN)
consumer_secret = url... | gabibguedes/TwitterAPI | twitterAPI.py | twitterAPI.py | py | 3,593 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "urllib.parse.parse.quote",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "tokens.API_TOKEN",
"line_number": 13,
"usage_type": "argument"
},
{
"api_name": "urllib.parse.parse",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": ... |
42742117913 | import pygame
import random
import itertools
import report
import math
'''
Define constants
'''
SCREEN_WIDTH = 1000
SCREEN_HEIGHT = 500
SCREEN_COLOR = (0, 0, 0) # Black
LANE_WIDTH = 19
LANE_COLOR = (220, 220, 220) # Gray
LANE_NAME_COLOR = (255, 255, 255) # White
HORIZONTAL = 1
VERTICAL = 2
TO_LEFT = 3
TO_RIGHT= 4
TO_... | sihyunglee26/Clustering-Simulation | traffic.py | traffic.py | py | 53,750 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "random.randrange",
"line_number": 90,
"usage_type": "call"
},
{
"api_name": "itertools.combinations",
"line_number": 152,
"usage_type": "call"
},
{
"api_name": "pygame.Surface",
"line_number": 191,
"usage_type": "call"
},
{
"api_name": "pygame.Surfa... |
9165032019 | import logging
from . import epdconfig
# Display resolution
EPD_WIDTH = 640
EPD_HEIGHT = 400
logger = logging.getLogger(__name__)
class EPD:
def __init__(self):
self.reset_pin = epdconfig.RST_PIN
self.dc_pin = epdconfig.DC_PIN
self.busy_pin = epdconfig.BUSY_PIN
self.cs_... | waveshareteam/e-Paper | RaspberryPi_JetsonNano/python/lib/waveshare_epd/epd4in01f.py | epd4in01f.py | py | 7,982 | python | en | code | 1,123 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 8,
"usage_type": "call"
}
] |
12713739277 | import shelve
import os
import csv
import urllib
from functools import reduce
from luigi import format
from luigi import Parameter
from luigi import Task
from luigi import WrapperTask
from luigi.task_register import load_task
from luigi.task import logger as luigi_logger
import requests
from lxml import html
import p... | ewheeler/make-country-codes | src/make_country_codes/tasks/data.py | data.py | py | 14,417 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "luigi.Task",
"line_number": 122,
"usage_type": "name"
},
{
"api_name": "luigi.Parameter",
"line_number": 126,
"usage_type": "call"
},
{
"api_name": "luigi.Parameter",
"line_number": 127,
"usage_type": "call"
},
{
"api_name": "utils.TargetOutput",
... |
1560985832 |
import bpy
from bpy.types import AddonPreferences, PropertyGroup
from .update import *
from bpy.props import (
IntProperty,
FloatProperty,
BoolProperty,
StringProperty,
PointerProperty,
CollectionProperty,
EnumProperty,
)
def GetLocationPresets(scene, context):
items = [
... | Takanu/PakPal | properties.py | properties.py | py | 14,797 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "bpy.data",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "bpy.data",
"line_number": 42,
"usage_type": "attribute"
},
{
"api_name": "bpy.types.PropertyGroup",
"line_number": 49,
"usage_type": "name"
},
{
"api_name": "bpy.props.BoolPro... |
22223733934 | import git
import sys
git_root = git.Repo("", search_parent_directories=True).git.rev_parse("--show-toplevel")
sys.path.append(git_root)
from models.components.modules import *
from tools.pytorch.losses import *
from tools.pytorch.pytorch_util import *
from tools.pytorch.modules.fDomainHelper import FDomai... | haoheliu/voicefixer_main | models/components/unet_v2.py | unet_v2.py | py | 7,369 | python | en | code | 236 | github-code | 18 | [
{
"api_name": "git.Repo",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "tools.pytorch.modules.fDomainHelp... |
37120518086 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Jun 7 21:47:45 2017
@author: tam
"""
import numpy as np
from keras.preprocessing.text import Tokenizer
from keras.preprocessing.sequence import pad_sequences
from keras.utils.np_utils import to_categorical
from keras.layers import Dense, Input, Flatte... | nthanhtam/cikmcup2017 | src/train_word2vec_models.py | train_word2vec_models.py | py | 12,941 | python | en | code | 9 | github-code | 18 | [
{
"api_name": "keras.layers.Embedding",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "keras.layers.Input",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "keras.layers.Conv1D",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "keras.l... |
29874473322 | from collections import deque
for tc in range(10):
case = '#' + input()
queue = deque(map(int, input().split()))
t = 1
while queue[-1] > 0:
a = queue.popleft()
queue.append(a - t)
t = t % 5 + 1
queue[-1] = 0
print('{} {}'.format(case, ' '.join(map(str, queue))))
| essk13/Algorithm | 02_notion/0826/hws.py | hws.py | py | 314 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "collections.deque",
"line_number": 5,
"usage_type": "call"
}
] |
27777591424 | from PIL import Image, ImageDraw, ImageFont
from aiogram.types import input_file
def linear_gradient(draw, start_color, end_color):
"""Функция для создания градиента"""
width, height = draw.im.size
for y in range(height):
r = start_color[0] + (end_color[0] - start_color[0]) * y // height
g... | MuRuLOSE/bruh_host_bot | utils/hello.py | hello.py | py | 3,251 | python | ru | code | 0 | github-code | 18 | [
{
"api_name": "PIL.Image.open",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "PIL.Image.new",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number":... |
12471668872 | #!pip install llama-index openai pypdf langchain faiss-cpu tiktoken colorama
import os
import sys
import hashlib
import json
import argparse
import subprocess
import pkg_resources
import glob
from colorama import Fore
from langchain.document_loaders import PyPDFDirectoryLoader
from langchain.embeddings.openai import ... | tabgab/searchPDF | searchPDF.py | searchPDF.py | py | 8,546 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.platform",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "pkg_resources.get_distribution",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "pkg_resources.DistributionNotFound",
"line_number": 56,
"usage_type": "attribute"
},
... |
40900732114 | """
Extracts tweets from specific user and exports them as a .csv
Content object includes array of ContentItem objects, but the only required field of the object is 'content' which is the text that needs to be analysed. Therefore, this and other optional fields are detailed below as per https://cloud.ibm.com/docs/ser... | TheDestroyerOfSomeWorlds/msc | helpers/get_user_tweets.py | get_user_tweets.py | py | 14,319 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.read_csv",
"line_number": 202,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 209,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 209,
"usage_type": "name"
},
{
"api_name": "datetime.d... |
36735549493 | import cv2
import os
import datetime
import random
cap = cv2.VideoCapture(0)
fourcc = cv2.VideoWriter_fourcc(*'XVID')
filePath = os.path.dirname(__file__)
number = random.randint(1, 100)
videoPath = os.path.join(filePath, f"../videos/myVideo{number}.mp4")
out = cv2.VideoWriter(videoPath, fourcc, 20.0, (640, 480))
wh... | Arijit02/opencv-start | opencv-start/videos.py | videos.py | py | 1,022 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.VideoWriter_fourcc",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"l... |
18285681633 | from flask import Flask, render_template, request
import openai
app = Flask(__name__)
# Replace 'YOUR_OPENAI_API_KEY' with your actual OpenAI API key
openai_api_key = 'YOUR_OPENAI_API_KEY'
# Function to generate code based on the selected language and problem statement
def generate_code(language, problem_statement)... | rishabhthareja/OpenAI_projects | code_generator.py | code_generator.py | py | 1,547 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "openai.api_key",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "openai.Completion.create",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "openai.Comple... |
21226211923 | from rest_framework import status
from rest_framework.reverse import reverse
from .base_test import TestBase
class TestArticles(TestBase):
def test_get_history(self):
"""This is the test for getting edited comments."""
res = self.edit_comment()
url = self.edit_history_url(res[0], res[1]... | andela/ah-the-unsullied | authors/tests/test_track_history.py | test_track_history.py | py | 2,161 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "base_test.TestBase",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "rest_framework.status.HTTP_200_OK",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.status",
"line_number": 15,
"usage_type": "name"
},
{
"ap... |
3677744063 | import os
import multiprocessing
from common.util import get_mac_address
from common.logger import Logger
INIT_URL = "https://www.hihigo.shop/api/v1/updateGoodsInfo"
ORDER_URL = 'https://www.hihigo.shop/api/v1/order'
items = {
'6921168509256001': dict(name='农夫山泉矿泉水', price=2.0, weight=575.0),
'69564162000670... | qqmecl/Farsight | common/settings.py | settings.py | py | 4,134 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "common.util.get_mac_address",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "configparser.ConfigParser",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "common.logger.Logger",
"line_number": 105,
"usage_type": "call"
}
] |
11980383409 |
# Django
from django.contrib.auth import get_user_model
from django.db import models
from django.utils.translation import gettext_lazy as _
# Models
from core.models import BaseModel
from users.models import Address
from products.models import ProductPrice
User = get_user_model()
class Cart(BaseModel):
"""Supe... | emmanueloctavi0/RaffYou | carts/models/cart.py | cart.py | py | 1,295 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "django.contrib.auth.get_user_model",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "core.models.BaseModel",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "django.db.models.OneToOneField",
"line_number": 17,
"usage_type": "call"
},
... |
17489818063 | from django.shortcuts import render, redirect
from .forms import AddContactForm
from .models import AddContact
from django.contrib import messages
def home_view(request, *args, **kwargs):
form = AddContactForm()
added_data = AddContact.objects.all().order_by('-id')[:5]
if request.method == "POST":
... | vijaysahuofficial/contactbook | mycontactbook/views.py | views.py | py | 1,557 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "forms.AddContactForm",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "models.AddContact.objects.all",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "models.AddContact.objects",
"line_number": 9,
"usage_type": "attribute"
},
{
"ap... |
11324453734 | import matplotlib
import matplotlib.pyplot as plt
import scipy.stats
import numpy as np
import estimationstatistics as estats
def plot_cov_ellipse2d(
ax: plt.Axes,
mean: np.ndarray = np.zeros(2),
cov: np.ndarray = np.eye(2),
n_sigma: float = 1,
*,
edgecolor: "Color" = "C0",
facecolor: "Col... | Stens/TTK4250-SensorFusion | Graded_Assignment_1/joyride_runtime.py | joyride_runtime.py | py | 10,533 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "matplotlib.pyplot.Axes",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "numpy.ndarray",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "numpy.... |
71427552040 | import numpy as np
import pandas as pd
from sklearn import *
from collections import Counter
train = pd.read_csv('../input/train.csv')
test = pd.read_csv('../input/test.csv')
sub = pd.read_csv('../input/sample_submission.csv').rename(columns={'Predicted': 'Predicted2'})
otrain = datasets.fetch_20newsgroups(subset='tra... | aorursy/new-nb-3 | jazivxt_enigma-layers-template.py | jazivxt_enigma-layers-template.py | py | 4,036 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.read_csv",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"... |
21732421506 | from pathlib import Path
from typing_extensions import Literal
__all__ = (
# constants
"ROOT",
"EMPTY",
"SPACE",
"NEW_LINE",
"DOUBLE_NEW_LINE",
"HASH",
"DOT",
"WRITE",
# defaults
"DEFAULT_QUIET",
"DEFAULT_IGNORE_REQUIRED",
"DEFAULT_NAME",
"DEFAULT_ENCODING",
... | nekitdev/changelogging | changelogging/constants.py | constants.py | py | 645 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "pathlib.Path",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "typing_extensions.Literal",
"line_number": 36,
"usage_type": "name"
}
] |
34044043258 | # -*- coding: UTF-8 -*-
import logging
import sys
import time
cwdpath = sys.path[0]
def log_init():
"""配置日志信息"""
# 创建一个handler，用于写入日志文件
logging.basicConfig(level=logging.INFO) # 设置日志级别
file_name = cwdpath + '/log/log_{}.log'.format(time.strftime("%Y%m%d_%H%M%S", time.localtime()))
file_handler =... | maxiaoteng001/wechat_articles | utils/log_utils.py | log_utils.py | py | 1,005 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "logging.basicConfig",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "time.strftime",
... |
35252095188 | import netCDF4 as nc
import numpy as np
import matplotlib.pyplot as plt
import cartopy.crs as ccrs
import cartopy.mpl.ticker as mticker
import cartopy.feature
from cartopy.util import add_cyclic_point
from matplotlib import colors
emiss1 = np.zeros([2040,13,192,288])
nc1 = nc.Dataset('/public/home/gaojy/CESM2_MEIC_185... | ChanJeunlam/geoscience-code | vertical-var-contour.py | vertical-var-contour.py | py | 4,324 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.zeros",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "netCDF4.Dataset",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number... |
27589791664 | import pickle
from sklearn.ensemble import ExtraTreesClassifier, RandomForestClassifier
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import seaborn as sns
from sklearn.model_selection import cross_val_score
from fastsklearnfeature.interactiveAutoML.new_bench.multiobjective.metalearning.analyse... | BigDaMa/DFS | new_project/fastsklearnfeature/interactiveAutoML/new_bench/multiobjective/metalearning/analyse/check_random_with_evaluations_custom_objective.py | check_random_with_evaluations_custom_objective.py | py | 9,210 | python | en | code | 12 | github-code | 18 | [
{
"api_name": "glob.glob",
"line_number": 84,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 90,
"usage_type": "call"
},
{
"api_name": "numpy.min",
"line_number": 119,
"usage_type": "call"
},
{
"api_name": "numpy.max",
"line_number": 119,
... |
39701489770 | import os, uuid
from flask import Flask, request, render_template
from azure.storage.blob import BlobServiceClient, BlobClient, ContainerClient
from werkzeug.utils import secure_filename
from flask import send_file
app = Flask(__name__)
# Retrieve the connection string for use with the application. The storage
# conn... | akshita316/HCLAzureAPI | app.py | app.py | py | 4,327 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "azure.storage.blob.BlobServiceClient.from_connection_string",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "azure.storage.blob.BlobServiceClient",
"line_number": 15,
"usage_t... |
5512377939 | import cv2
import utils
class Face(object):
"""Data on facial features: face, eyes, nose, mouth."""
def __init__(self):
self.faceRect = None
self.EyeRect = None
class FaceTracker(object):
"""A tracker for facial features: face, eyes, nose, mouth"""
def __init__(sel... | prateekb1912/face-tracker-and-swapper | trackers.py | trackers.py | py | 2,448 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "cv2.CASCADE_SCALE_IMAGE",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "cv2.CascadeClassifier",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "cv2.CascadeClassifier",
"line_number": 23,
"usage_type": "call"
},
{
"api_name... |
10275808342 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
from openni import openni2
import platform
import numpy as np
import cv2
# Initialize OpenNI
if platform.system() == "Windows":
openni2.initialize("C:/Program Files/OpenNI2/Redist") # Specify path for Redist
else:
openni2.initialize() # can also accept the path ... | Terabee/python_openni2_samples | display_depth_frame.py | display_depth_frame.py | py | 1,643 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "platform.system",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "openni.openni2.initialize",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "openni.openni2",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "openni.openni... |
25933811526 | #!/usr/bin/env python3
#-*- coding:utf8 -*-
# __author__ = "Auther"
# Date : 2019/1/22
'''
'''
import hashlib
import hmac
import random
import time
import requests
secretId = 'AKIDQlwvowGkxT6a6Urp13CLS9LOKAAINHB4'
secretKey = '7BkhzCJGHVnWI7rRtdGnFA7oBOQNZir0'
data = {
'Action': 'DescribeProject',
'Nonce':... | WnLeon/Python_ | 2019/01/22_02.py | 22_02.py | py | 1,157 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "random.randint",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "hmac.new",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "hashlib.sha1",
"line_number": 3... |
13594004038 | from selenium import webdriver
from selenium.webdriver.common.keys import Keys
import random
import time
# 启动浏览器
driver = webdriver.Chrome(r"chromedriver.exe")
#driver = webdriver.Chrome()
driver.get("http://ai.baidu.com/tech/speech/tts")
# 获取当前时间
current_time = time.strftime('%H:%M',time.localtime(time.time()))
# 输... | pengfen/learn19 | test-learn/outo_test/ai.py | ai.py | py | 618 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "time.strftime",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "time.localti... |
3394317590 | import time
from selenium import webdriver
from selenium.webdriver.common.by import By
baseUrl = 'https://www.rokomari.com/book'
driverpath = 'J:\Selenium\drivers\chromedriver.exe'
class SearchClassTest():
@classmethod
def setUpClass(cls):
cls.driver = webdriver.Chrome(executable_path = driverpath)
... | ISRAFIL-HOSSAIN/TestAutomation-Python | Rokomari.com/Website_TC_005/Search.py | Search.py | py | 1,209 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "selenium.webd... |
19716503298 | import tkinter
import joblib
import os
import sklearn
ventana = tkinter.Tk()
ventana.title("Predictor del Clima")
ventana.geometry("400x400")
etiqueta = tkinter.Label(ventana)
etiqueta.pack(pady=40)
cajaTexto = tkinter.Entry(ventana)
cajaTexto.insert(1, "Ingresa tu valor de temperatura.")
cajaTexto.pack(fill='x', pa... | gaiborjosue/Temp-Hum-Predictor | Predicciones_Finales/interface_prediction.py | interface_prediction.py | py | 1,475 | python | es | code | 0 | github-code | 18 | [
{
"api_name": "tkinter.Tk",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "tkinter.Label",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "tkinter.Entry",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "joblib.load",
"line_number"... |
70114547881 | #
# https://leetcode.com/problems/design-hashmap/
#
# Design a HashMap without using any built-in hash table libraries.
#
# Implement the MyHashMap class:
# MyHashMap()
# initializes the object with an empty map.
# void put(int key, int value)
# inserts a (key, value) pair into the HashMap. If the key... | CountChu/LeetCodePython | learn_17_hash_table/solutions/0706-hash-map-s1.py | 0706-hash-map-s1.py | py | 2,541 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pdb.set_trace",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "sys.modules",
"line_number": 43,
"usage_type": "attribute"
}
] |
38183848257 | import asyncio
try:
import uvloop
asyncio.set_event_loop_policy(uvloop.EventLoopPolicy())
except ImportError:
pass
import aiohttp
import concurrent.futures
from concurrent.futures import CancelledError, TimeoutError
import threading
import numpy as np
from tempfile import NamedTemporaryFile
from itertools... | DigitalGlobe/pyveda | pyveda/io/remote/client.py | client.py | py | 17,231 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "asyncio.set_event_loop_policy",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "uvloop.EventLoopPolicy",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "... |
44073073328 | # Description：
# Author：朱勇
# Time：2021/3/7 16:01
import pandas as pd
import numpy as np
from matplotlib import pyplot as plt
from scipy.stats import norm
import math
from matplotlib import cm
from mpl_toolkits.mplot3d import Axes3D
from sklearn.covariance import EllipticEnvelope
data = pd.read_csv('task1_data.csv')
f... | zhuyongWillem/pca_ad | anomalyPay.py | anomalyPay.py | py | 2,930 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.read_csv",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "matplotlib... |
6200773152 | import argparse
import Models, LoadBatches
from keras.models import load_model
from keras.callbacks import ModelCheckpoint
import matplotlib.pyplot as plt
import tensorflow as tf
import os
from keras import backend as K
from keras.losses import categorical_crossentropy
from lovasz_loss_keras import lovasz_soft... | sdu2020xzh/sdu2020xzh-Automatic-Mineral-Segmentation | train.py | train.py | py | 6,974 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "os.environ",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.ConfigProto",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "tensorflow.Ses... |
33579205790 | from keras.callbacks import EarlyStopping
from keras.layers import Dense, Activation, Dropout, Input, BatchNormalization
from keras.models import Model, load_model
from keras.regularizers import l2
import keras.backend as K
import numpy as np
import services.ModelPerformanceVisualization as model_visualizer
'''
A impr... | qthen/candle | models/regression/ImprovedNN.py | ImprovedNN.py | py | 4,517 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "keras.layers.Input",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "keras.layers.Dense",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "keras.regularizers.l2",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "keras.lay... |
12749629354 | import parse
import utils
class StopException(Exception):
pass
def get_points():
data = utils.get_input(
cast=lambda x: parse.parse('{:d},{:d}', x),
delimiter=' -> ',
line_delimiter='\n',
)
points = set()
for line in data:
for i in range(1, len(line)):
... | alexander-yu/adventofcode | problems_2022/14.py | 14.py | py | 2,023 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "utils.get_input",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "parse.parse",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "utils.part",
"line_number": 65,
"usage_type": "attribute"
},
{
"api_name": "utils.part",
"line_nu... |
14949877101 | import os.path
from typing import Optional
from types import ModuleType
import globalVars
import config
from keyword import iskeyword
def initializeModulePackagePaths():
"""Initializes the module package paths for drivers and plugins.
This ensures that drivers (such as braille display drivers) or plugins (such as a... | nvaccess/nvda | source/addonHandler/packaging.py | packaging.py | py | 2,639 | python | en | code | 1,802 | github-code | 18 | [
{
"api_name": "types.ModuleType",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "config.isAppX",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "globalVars.appArg... |
35786533708 |
import numpy as np; import pandas as pd
# import scipy as sp; import scipy.stats as st
import torch; import torch.nn as nn; print(f"using torch version {torch.__version__}")
#use numba's just-in-time compiler to speed things up
# from numba import njit
from sklearn.preprocessing import StandardScaler; from sklearn.mod... | AliAlkadhim/torchQN | JupyterBook/Cluster/EVALUATE/EvaluateMass.py | EvaluateMass.py | py | 19,964 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "torch.__version__",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.__version__",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.rcParams.update",
"line_number": 14,
"usage_type": "call"
},
{
"api_n... |
15612292216 | import os
from requests.exceptions import HTTPError
from google.cloud import storage
class GoogleStorage:
file_name = 'poke_spawn_test.xml'
def __init__(self, file_name=None):
if file_name:
self.file_name = file_name
self.client = storage.Client.from_service_account_json(os.path.j... | ppQueens/Pokemon_spawn_map | spawns_map/utils/google_storage.py | google_storage.py | py | 1,599 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "google.cloud.storage.Client.from_service_account_json",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "google.cloud.storage.Client",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "google.cloud.storage",
"line_number": 12,
"usage_t... |
74610654120 | import pygame
from pygame.locals import *
import sys
def epaisseur(n):
if n<40:
return 3
elif 40<=n<100:
return 1
elif 100<=n<500:
return 1
elif n>=500:
return -1
pygame.init()
DISPLAYSURF = pygame.display.set_mode((1920,1080), FULLSCREEN) #set the display mode, wi... | GetMoon2EZ/BobDylan | isometric/map.py | map.py | py | 1,895 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pygame.init",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "pygame.displa... |
74694962279 |
# import kivy module
import kivy
# this restrict the kivy version i.e
# below this kivy version you cannot
# use the app or software
kivy.require('1.8.0') # changeable
# base Class of your App inherits from the App class.
# app:always refers to the instance of your application
from kivy.app import App
# ... | aunluhisarcikli/image-encryption | main.py | main.py | py | 8,120 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "kivy.require",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "kivy.uix.boxlayout.BoxLayout",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "os.path.split",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "os.path",
... |
43637236934 | from collections import defaultdict
import pandas as pd
def read_user_facility_data(data_path, reporting_periods):
entity_facility_df = pd.DataFrame()
for reporting_period in reporting_periods:
df = pd.read_excel(
data_path + reporting_period + 'compliancereport.xlsx',
sheet_n... | carbonplan/compliance-users | scripts/users_and_facilities.py | users_and_facilities.py | py | 2,882 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.DataFrame",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pandas.read_excel",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "collections.... |
4534498378 | from django.shortcuts import render, reverse
from django.http import HttpResponse, HttpResponseRedirect
import urllib.request
import json
from collections import OrderedDict
from django.template.context_processors import csrf
from web_app.forms import RegisterForm, LoginForm, CreateJerseyForm
# Create your views here.
... | Michael1009/cs4260_ISA | web/web_app/views.py | views.py | py | 10,086 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "urllib.request.request.urlopen",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "urllib.request.request",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "urllib.request",
"line_number": 13,
"usage_type": "name"
},
{
"api_nam... |
29812748484 | from selenium.webdriver.common.by import By
from test_web_weixin.page.add_member import AddMember
from test_web_weixin.page.contact_page import ContactPage
from test_web_weixin.page.base_page import BasePage
class MainPage(BasePage):
_location_goto_member = (By.CSS_SELECTOR, '.ww_indexImg_AddMember')
def got... | PAssassiN/hogwarts_ck16 | test_web_weixin/page/main_page.py | main_page.py | py | 793 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "test_web_weixin.page.base_page.BasePage",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.common.by.By.CSS_SELECTOR",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "selenium.webdriver.common.by.By",
"line_number": 8,
... |
6753003168 | from django.contrib.auth import get_user_model
from django.db.models import Sum, Count
from rest_framework import generics, status
from rest_framework.decorators import api_view
from rest_framework.permissions import AllowAny
from rest_framework.response import Response
from books.models import ReadingSession
from use... | VTeteruk/reading_time_api | users/views.py | views.py | py | 2,377 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "rest_framework.generics.CreateAPIView",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.generics",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "users.serializers.UserSerializer",
"line_number": 14,
"usage_type": "n... |
72782950120 | from selenium import webdriver
from selenium.webdriver.common.keys import Keys
import datetime
import mysql.connector as mdb
driver = webdriver.Chrome("C://tools//chromedriver.exe")
'''
#driver = webdriver.PhantomJS("C://Users//marco.zhang//.m2//repository//com//codeborne//phantomjsdriver//1.4.0//phantomjsdriver-1.4.0... | pz0309/lhjy | lesson3/scraper_symbol_sp500.py | scraper_symbol_sp500.py | py | 3,750 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.utcnow",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "d... |
26953111709 | import typing as ty
from pathlib import PurePath
from pydra.mark import annotate, task
@task
@annotate({"return": {"suvr_pet_path": PurePath}})
def normalize_to_reference_task(pet_image: PurePath, region_mask: PurePath) -> PurePath:
"""Pydra task for normalizing the provided `pet_image`.
.. note::
P... | aramis-lab/clinica | clinica/pydra/pet_volume/tasks.py | tasks.py | py | 4,532 | python | en | code | 196 | github-code | 18 | [
{
"api_name": "pathlib.PurePath",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "clinica.pipelines.pet_volume.pet_volume_utils.normalize_to_reference",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pydra.mark.task",
"line_number": 7,
"usage_type": "n... |
37265331713 | import numpy
import geopandas
import pandas.util.testing
def assert_geoframe_almost_equal(left, right):
"""
Check if left and right are almost equal
This is needed because projections may produce tiny errors in the
geometries that are not captured by the pandas tools.
Parameters
----------
... | lowerthansound/kag-cpe | cpe_help/util/testing.py | testing.py | py | 973 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "geopandas.GeoDataFrame",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "geopandas.GeoDataFrame",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "numpy.minimum",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": ... |
44353815098 | #!/usr/bin/env python
# -*- coding: utf-8; -*-
#
# (c) 2020 siveo, http://www.siveo.net
#
# This file is part of Pulse 2, http://www.siveo.net
#
# Pulse 2 is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either... | medulla-tech/medulla | services/mmc/plugins/xmppmaster/master/pluginsmaster/plugin_reversessh_AM_ARS.py | plugin_reversessh_AM_ARS.py | py | 6,307 | python | en | code | 17 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "pulse2.database.xmppmaster.Xm... |
1513197982 |
# Import required libraries
import argparse
import base64
from datetime import datetime
import hashlib
import os
import socket
import subprocess
import sys
import threading
# Create a class for the server (listener)
class Server:
# Define constructor with port as argument
def __init__(self,port):
# Set host to ... | aarole/aionet | aionet.py | aionet.py | py | 12,810 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "os.getcwd",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "socket.socket",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "socket.SOCK_STREAM",
... |
1839438492 | # -*- coding: utf-8 -*-
__author__ = 'ivanov'
from selenium import webdriver
from fixture.session import SessionHelper
from fixture.group import GroupHelper
from fixture.contact import ContactHelper
class Application:
def __init__(self, browser, base_url): # конструктор, инициализирует ссылку на драйвер, а зате... | seyros/python_training | fixture/application.py | application.py | py | 1,261 | python | ru | code | 0 | github-code | 18 | [
{
"api_name": "selenium.webdriver.Firefox",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 15,
"usage_type": "call"
},
{
"api_name"... |
634923735 | import numpy as np
import keras
from keras.layers import Dense, Conv2D, MaxPooling2D, Flatten
from sklearn.utils import shuffle
class Model:
def __init__(self, name, num_classes, input_shape, activation, loss, optimizer, learning_rate):
if optimizer == 'sgd':
optimizer = keras.optimizers.SGD(l... | javad-torkzadeh/fed-dnn | model.py | model.py | py | 2,207 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "keras.optimizers.SGD",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "keras.optimizers",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "keras.optimizers.Adam",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "kera... |
32658884078 | from django.shortcuts import render
from .models import Contact
from django.http import HttpResponse
from django.core.mail import send_mail
# Create your views here.
def index(request):
if request.method == "POST":
contact = Contact()
name = request.POST.get('name')
email = req... | dhan005/consultant_portfolio | Consultant/myconsultant/views.py | views.py | py | 957 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "models.Contact",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.core.mail.send_mail",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 33,
"usage_type": "call"
}
] |
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