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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
15180463 | from datetime import datetime, date
import calendar
from django.shortcuts import render, get_object_or_404, redirect
from django.contrib.auth.models import User
from django.contrib.auth.decorators import login_required
from cart.cart import Cart
from .models import OrderItem, Order
from .tasks import send_mail_order
fr... | null | boardure_django/orders/views.py | views.py | py | 2,236 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cart.cart",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "cart.cart.Cart",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.get_object_or_404",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "boardure_... |
198888697 | import sys, pygame
from db.setup import *
from db.workouts import *
# Pygame setup
pygame.init()
pygame.font.init()
black = 0, 0, 0
white = 255, 255, 255
screen = pygame.display.set_mode((0,0))
width = screen.get_width();
height = screen.get_height();
# The database connection
conn = setupDb()
workouts = listWorkout... | null | workouts.py | workouts.py | py | 917 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pygame.init",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pygame.font.init",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pygame.font",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pygame.display.set_mode",
... |
202165295 | from mitmproxy import http
import json
# wow bold of you to let me handle money
def handleMoney(flow):
endpoint = flow.request.path.replace('/magica/api/money', '')
if endpoint.startswith('/shop/list'):
with open('data/commonMoneyList.json', encoding='utf-8') as f:
userCommonMoneyList = jso... | null | api/money.py | money.py | py | 553 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "json.load",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "mitmproxy.http.HTTPResponse.make",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "mitmproxy.http.HTTPResponse",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_na... |
435091437 | # Copyright 2020 John Reese
# Licensed under the MIT license
import logging
from pathlib import Path
from typing import Optional
import click
from attribution import __author__, __version__
from .generate import Changelog
from .helpers import sh
from .project import Project
from .tag import Tag
from .types import Ve... | null | attribution/main.py | main.py | py | 3,048 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.basicConfig",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "logging.WARNING",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "click.gro... |
60302766 | # -*- coding: utf-8 -*-
"""
Final_Year_Project.ipynb
"""
import numpy as np
from sklearn.model_selection import train_test_split
'''
IV. Preparing the Inception v3 output for input to the LSTM
'''
'''
Shuffle and split the data into the train and test set.
'''
# Load saved features extract... | null | lstm.py | lstm.py | py | 5,968 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.load",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.... |
106910059 | import math
import numpy as np
from tensorflow.python.keras.utils.np_utils import to_categorical
from tensorflow.keras import datasets
from tensorflow.keras import layers, models, Input
from tqdm import tqdm
def CNN():
model = models.Sequential()
model.add(layers.Conv2D(32, kernel_size=(5, 5), activation='re... | null | FL.py | FL.py | py | 2,748 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tensorflow.keras.models.Sequential",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.models",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "tensorflow.keras.layers.Conv2D",
"line_number": 12,
"usage_type": "call"
},
... |
100793178 | '''
Created on Feb 28, 2012
@author: antoniopenta
'''
import simplejson
import geoUtility as geo
import dataBaseMongo as dbMongo
import utils
import geojson
import crimeRetrieve;
import os
from CrimeAnalytics import settings
def computeContextfromPostCode(request):
context={}
time=laodTimePeriod();
c... | null | src/CrimeAnalytics/crimeStat/code/controlCrimeStat.py | controlCrimeStat.py | py | 5,376 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "simplejson.dumps",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "geoUtility.getcompiledREPostCode",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "geoUtility.isvalidPostCode",
"line_number": 27,
"usage_type": "call"
},
{
"api_... |
20673067 | from .__plugin__ import Plugin as _P
from .__plugin__ import publicFun
import logging
import sys
from PySide2 import QtCore, QtWidgets, QtGui
from functools import partial
app = QtCore.QCoreApplication.instance()
class Plugin(_P):
log2Bar = QtCore.Signal(str)
log2Wid = QtCore.Signal(str)
def __init__(sel... | null | app/plugins/log.py | log.py | py | 3,594 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "PySide2.QtCore.QCoreApplication.instance",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "PySide2.QtCore.QCoreApplication",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "PySide2.QtCore",
"line_number": 9,
"usage_type": "name"
},
... |
291006904 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('blog', '0009_auto_20150810_0838'),
]
operations = [
migrations.CreateModel(
name='cooler',
fields=[
... | null | blog/migrations/0010_cooler.py | 0010_cooler.py | py | 585 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.CreateModel",
"line_number": 14,
"usage_type": "call"
},
... |
126729815 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright © 2016 Luca Chiodini <luca@chiodini.org>
import csv
import io
import MySQLdb
import requests
import sys
import tempfile
from config import *
def main():
response = requests.get(
"https://spreadsheets.google.com/tq?tqx=out:csv&key=" +
... | null | updater.py | updater.py | py | 2,408 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "tempfile.NamedTemporaryFile",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "MySQLdb.connect",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "io.open",
... |
176420742 | # -*- coding: UTF-8 -*-
from setuptools import setup, find_packages
with open("README.md", "r") as fh:
long_description = fh.read()
setup(
name="django_ltree_fork",
version="0.4.4",
python_requires=">=2.7",
url="https://github.com/boryszef/django-ltree",
author="Borys Szefczyk",
author_e... | null | setup.py | setup.py | py | 1,081 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "setuptools.setup",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 20,
"usage_type": "call"
}
] |
634147610 | import numpy as np
from keras.applications.resnet50 import ResNet50
from keras.layers import Conv2D, MaxPooling2D, Dense, LeakyReLU, BatchNormalization
from keras.models import Model
def buildYolo():
# Loading pretrained ResNet50
resnet = ResNet50(weights = 'imagenet')
# Removing the last 3 layers
resnet.laye... | null | network.py | network.py | py | 1,043 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "keras.applications.resnet50.ResNet50",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "keras.layers.Conv2D",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "keras.layers.BatchNormalization",
"line_number": 21,
"usage_type": "call"
},
... |
200523533 | from connection import fetch_one, fetch_all
from cachetools.func import ttl_cache
from caching import hashable_cache
from util import parse_inputs, preload_outputs, quantize_outputs, set_if_unset
import math
import timeit
class Gh_Grow:
@staticmethod
def info():
return {
"name": "gh_grow",... | null | models/gh/capex/grow.py | grow.py | py | 8,682 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "connection.fetch_all",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "connection.fetch_all",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "connection.fetch_all",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "cachin... |
196532131 | import requests
from django.shortcuts import render
def weather(request):
api_url = "http://api.openweathermap.org/data/2.5/forecast"
city = False # если city пустое значение, то блок с талбицей и городом выводится не будет
if request.method == "POST": # если метод POST, то присваеваем city город, кот... | null | weather/views.py | views.py | py | 2,245 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 47,
"usage_type": "call"
}
] |
391704159 | #! /usr/bin/python
print("Content-type: text/html\n")
import cgi
import random
form = cgi.FieldStorage()
# if "name" in form:
# print form.getvalue("name");
# else:
# print("No name provided")
reds = 0
whites = 0
if "guess" in form:
guess = form.getvalue("guess")
else:
guess = ""
if "answer" in fo... | null | 12-python/mastermind.py | mastermind.py | py | 1,620 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cgi.FieldStorage",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 27,
"usage_type": "call"
}
] |
629560198 | #!/usr/bin/env python
import numpy as np
import theano
from theano import tensor as T
from theano_layer import theano_layer
class fully_connected_layer(theano_layer):
def __init__(self, previous_layer, rng, training_log, empty_shared_var, layer_parameters, model_directory = None):
self.layer_type = 'full... | null | code/theano_cnn/fully_connected_layer.py | fully_connected_layer.py | py | 2,738 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "theano_layer.theano_layer",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "numpy.prod",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "theano.tensor.dot",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "theano.tensor",... |
439906305 | #exec(open('distributions\\expon.py').read())
# ----------------------------------------------------------------------
#
# Reference Material Montgomery & Runger: Applied statistics and Probability
# for Engineers 7ed
#
# ----------------------------------------------------------------------
import subprocess as sp
imp... | null | distributions/expon.py | expon.py | py | 5,140 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "subprocess.call",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "importlib.reload",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.close",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "matplotlib.p... |
623387630 | # coding: utf-8
# Copyright 2013 The Font Bakery Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | null | bakery_cli/scripts/encode_glyphs.py | encode_glyphs.py | py | 2,755 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "fontTools.ttLib.ttLib.getTableModule",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "fontTools.ttLib.ttLib",
"line_number": 49,
"usage_type": "attribute"
},
{
"api_name": "fontTools.ttLib",
"line_number": 49,
"usage_type": "name"
},
{
"a... |
462892579 | from .vpython import GlowWidget, baseObj, vector
from http.server import BaseHTTPRequestHandler, HTTPServer
import os
import platform
import threading
import json
import webbrowser as _webbrowser
import asyncio
from autobahn.asyncio.websocket import WebSocketServerProtocol, WebSocketServerFactory
import copy
import s... | null | vpython/no_notebook.py | no_notebook.py | py | 7,932 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os._exit",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "signal.signal",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "signal.SIGINT",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "socket.socket",
"line_n... |
197004668 | # -*- coding: utf-8 -*-
"""
Created on Tue Mar 13 13:30:47 2018
@author: sarth
"""
import pandas as pd
from sklearn.neighbors import KNeighborsClassifier
from sklearn import preprocessing
from sklearn import utils
pd.set_option('display.float_format', lambda x: '%.6f' % x)
def knn_predict(k, concentration, pH):
... | null | SAFMI/ImageDisorderPrediction/UserPrediction.py | UserPrediction.py | py | 2,863 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.set_option",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocess... |
560955483 | import pandas as pd
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from datetime import datetime
import os
os.system('set PATH=%PATH%;D:\\Users\\50047924\\Desktop\\Combustivel')
chr_options = webdriver.ChromeOptions()
caminho = "D:\\Users\\50047924\\Desktop\\Combustivel"
prefs ... | null | busca_dados.py | busca_dados.py | py | 1,032 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.system",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.ChromeOptions",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "selenium.w... |
355609466 | from django.urls import path
from . import views
urlpatterns = [
path('',views.login),
path('register/',views.register,name='register'),
path('customer/',views.customer,name='customer'),
path('summary/',views.summary,name='summary'),
path('place/',views.place,name='place'),
path('logout/',views... | null | broker/urls.py | urls.py | py | 723 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.urls.path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
311034996 | import collections
from graphviz import Digraph
from graphviz import Graph as Graphviz
from lib_tools import aristas
from lib_tools import nodos
import sys
DIRECTED = "DIRECTED"
DISCOVERED = "DISCOVERED"
RENDER = False
class Grafo:
def __init__(self, num_nodos=None, num_aristas=None, atrbt={}):
... | null | lib_tools/grafo.py | grafo.py | py | 15,416 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "lib_tools.nodos.Nodo",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "lib_tools.nodos",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "lib_tools.nodos",
"line_number": 38,
"usage_type": "name"
},
{
"api_name": "lib_tools.nodos.... |
642424391 | import os
import os.path
import platform
from argparse import ArgumentParser
from functools import wraps
import logging
logging.captureWarnings(True)
logger = logging.getLogger('')
logger.setLevel(logging.DEBUG)
handler = logging.StreamHandler()
formatter = logging.Formatter(fmt='%(message)s',datefmt='%Y-%m-%d %H:%M:%... | null | libojclient/cmd.py | cmd.py | py | 3,914 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.captureWarnings",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "logging.St... |
432432260 | # Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
import logging
import numpy as np
from scipy import sparse
logger = logging.getLogger()
def exponential_decay(value, max_val, half_life):
"""Compute decay factor for a given value based on an exponential decay
Va... | null | 2019/6-azureml-movie-recommendation/reco_utils/common/python_utils.py | python_utils.py | py | 3,111 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.minimum",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.power",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.expand_dims",
"... |
6601991 | import tensorflow as tf
import os
import sys
import argparse
import numpy as np
import pickle
import math
import time
import traceback
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import matplotlib.patheffects as patheffects
from avod.core import box_3d_encoder
from avod.core import evaluato... | null | predict.py | predict.py | py | 27,261 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.use",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"li... |
139522028 | #!/usr/bin/env python
# coding=utf-8
import smtplib
from email.mime.text import MIMEText
from email.mime.multipart import MIMEMultipart
from email.mime.image import MIMEImage
from email.header import Header
class SendMessage:
def __init__(self):
return
def send(self, to_msg, to_add):
mail_hos... | null | test_dir/邮箱测试！！！！/mailbox.py | mailbox.py | py | 1,969 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "email.mime.multipart.MIMEMultipart",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "email.header.Header",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "email.mime.text.MIMEText",
"line_number": 25,
"usage_type": "call"
},
{
"a... |
538499468 | # L07-2-KMeans.py
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
# Create Points to cluster
Points = pd.DataFrame()
Points.loc[:,0] = [1.91,0.9,1.26,0.61,1.25,1.04,0.53,0.99,1.11,0.1,-0.15,0.83,0.72,0.69,0.74,
0.72,1.09,0.68,0.67,0.82,0.74,0.94,0.64,1.44,0.76,1.06,0.79,0.88,0.76... | null | lab/07/L07-2-KMeans.py | L07-2-KMeans.py | py | 4,269 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.DataFrame",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_... |
76056180 | import torch
from data_generator import data_gen
from transformer import (make_model, LabelSmoothing,
get_scheduler, Loss, Transformer)
from run_epoch import run_epoch
from utils import subsequent_mask
def decode(model: Transformer,
source: torch.Tensor, source_mask: torch.Tensor,... | null | test/test.py | test.py | py | 1,630 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "transformer.Transformer",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "torch.Tensor",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "torch.ones",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "utils.subsequent... |
445417408 | import pika
import json
import json_api
connection = pika.BlockingConnection(pika.ConnectionParameters(
host='localhost'))
channel = connection.channel()
channel.queue_declare(queue='signal')
def callback(ch, method, properties, body):
data = json.loads(body)
for key, value in data.items():
part... | null | worker.py | worker.py | py | 1,010 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pika.BlockingConnection",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pika.ConnectionParameters",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "json_api.t... |
288754513 | # -*- coding: utf-8 -*-
from flask import Flask
from flask import render_template
from flask import redirect
from flask import request
from flask import abort
from flask import make_response
from flask import url_for
from flask import flash
from sqlalchemy import sql
import uuid
from models import User
from models i... | null | app.py | app.py | py | 5,069 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Flask",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "flask.request.cookies.get",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "flask.request.cookies",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "flas... |
622875789 | #coding=UTF-8
import json
import tkinter as menu
import time
import random
import math
class Inspermon():
def __init__(self):
def mostra_jogadorprincipal(jog_principal):
print("Inspermon : {0}".format(jog_principal["nome"]))
time.sleep(1)
p... | null | debugando.py | debugando.py | py | 32,047 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "time.sleep",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 26,
... |
98317149 | import networkx as nx
import scipy as sc
import matplotlib.pyplot as p
def GenRdmAdjList(N = 2, C = 0.5):
"""
define a
"""
Ids = range(N)
ALst = []
for i in Ids:
if sc.random.uniform(0,1,1) < C:
Lnk = sc.random.choice(Ids,2).tolist()
if Lnk[0] != Lnk[1]: #avoid ... | null | Week7/Code/DrawFW.py | DrawFW.py | py | 1,263 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "scipy.random.uniform",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "scipy.random",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "scipy.random.choice",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "scipy.rand... |
510795018 | import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import numpy as np
#Buka JSON FILE
df = pd.read_json("PUT JSON FILE HERE!! json/YOUR JSON FILE")
#Ganti Semua nama TimeStamp yang ada di JSON dengan Date
df.rename(columns={'timestamp': 'date'}, inplace=True)
#Buang Parameter/Argu... | null | Analyze.py | Analyze.py | py | 1,306 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.read_json",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pandas.to_datetime",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "seaborn.set",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "seaborn.set",
"lin... |
319979856 | import time, pandas as pd, numpy as np
from sklearn.feature_extraction.text import CountVectorizer, TfidfVectorizer
from sklearn import svm
t1=time.time()
train = pd.read_csv('../data/train_set.csv')
test = pd.read_csv('../data/test_set.csv')
test_id = test["id"].copy()
column = "word_seg"
vec = TfidfVectorizer(ngr... | null | tfidf+svm.py | tfidf+svm.py | py | 816 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "time.time",
"line_number": 5,
"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": "sklearn.feature_extraction.tex... |
70451638 | import tensorflow as tf
from tensorflow.keras import Model, Input
from tensorflow.keras.layers import Conv2D, MaxPooling2D, Conv2DTranspose, Lambda, Layer, BatchNormalization, Activation
from tensorflow.keras import backend as K
from tensorflow.keras.models import load_model, save_model
from tensorflow.keras.preproces... | null | tofNetRgb/model/facedeconv.py | facedeconv.py | py | 11,280 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tensorflow.keras.layers.Layer",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "tensorflow.keras.backend.cast",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.backend",
"line_number": 26,
"usage_type": "name"
},
{
... |
357592973 | """
=== Module Description ===
This module contains a new class, PaperTree, which is used to model data on
publications in a particular area of research.
"""
import csv
from typing import List, Dict, Optional
from tm_trees import TMTree
# Filename for the dataset
DATA_FILE = 'cs1_papers.csv'
class PaperTree(TMTree)... | null | papers.py | papers.py | py | 5,403 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tm_trees.TMTree",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 58,
"usage_type": "name"
},
{
"api_name": "tm_trees.TMTree",
"line_number": 58,
"usage_type": "name"
},
{
"api_name": "tm_trees.TMTree.__init__"... |
447263896 | import os
from pywps import Process, LiteralInput, LiteralOutput
import logging
LOGGER = logging.getLogger("PYWPS")
class Hello(Process):
def __init__(self):
inputs = [
LiteralInput('name', 'Your name', data_type='string')]
outputs = [
LiteralOutput('output', 'Output resp... | null | twitcher/processes/wps_hello.py | wps_hello.py | py | 969 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pywps.Process",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "pywps.LiteralInput",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pywps.LiteralOutput"... |
283318867 | from __future__ import print_function
import argparse
import os,sys
import random
import torch
import torch.nn as nn
import torch.nn.parallel
import torch.backends.cudnn as cudnn
import torch.optim as optim
import torch.utils.data
# import torchvision.transforms as transforms
# import torchvision.utils as vutils
from t... | null | pointnet6DV2.py | pointnet6DV2.py | py | 7,704 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.nn.Module",
"line_number": 96,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 96,
"usage_type": "name"
},
{
"api_name": "torch.nn.Conv1d",
"line_number": 100,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_n... |
392311116 | import os
import json
import cv2
import time
from functools import cmp_to_key
import random
#把train.txt转换为coco标注文件
os.chdir(os.path.join('..', 'datasets', 'coco_mocod','obstruct'))
os.makedirs('annotations', exist_ok=True)
def convert(name):
with open(os.path.join(f"2007_{name}.txt"), 'r') as f:
... | null | lh_trainval_txt_gen_coco_label.py | lh_trainval_txt_gen_coco_label.py | py | 2,681 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.chdir",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_number": 9,
... |
408909157 | # -*- coding: utf-8 -*-
"""
Created on Wed Oct 9 09:35:30 2019
Foundations of Data Mining
Linear Regression
@author: GargyaGokhale
"""
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
"""Data Acquisition"""
data = pd.read_excel('HW2data.xlsx')
grp_num = 2
n = ((grp_num - 1)*5 + 2) - 2
x = n... | null | HW2_script1.py | HW2_script1.py | py | 1,167 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.read_excel",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.reshape",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.reshape",
"line... |
172952452 |
from __future__ import print_function
import os
import shutil
import sys
import time
import argparse
from datetime import datetime
import imp
import lasagne
import numpy as np
import theano
import theano.tensor as T
from lasagne.regularization import regularize_network_params
from lasagne.layers import get_output
fr... | null | train.py | train.py | py | 11,629 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "utils.categorical_kl_div",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "utils.categorical_kl_div",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "sys.stdout.write",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "sy... |
628232128 | import unittest
import datetime
from django.test import TestCase, TransactionTestCase
from django.utils import timezone, formats
from django.core.exceptions import ValidationError
from django.db import models as dbmodels
from scarlet.versioning.models import VersionView
from scarlet.versioning import manager
import ... | null | tests/version_models/tests.py | tests.py | py | 33,271 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "unittest.TestCase",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "scarlet.versioning.models.VersionView",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "scarlet.versioning.models.VersionView",
"line_number": 23,
"usage_type": "na... |
531970658 | '''KNN is used to group data with simmilar atributes in higher dimensions.
We decide the number of K, which means we find the K closest neighbors
to our new data point and from there deduce where it "belongs".
We measure the eucledian distance of our new data point from it's neighbors.
It runs more efficient ... | null | KNN Classifier.py | KNN Classifier.py | py | 3,762 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.linalg.norm",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "numpy.linalg",
"line_number": 59,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "collections.Counter",... |
425267660 | from django.shortcuts import render, redirect
from django.http import JsonResponse
from django.urls import reverse
from profiles.models import (Rider,
Staff,
Supplier,
Customer)
from .models import (Dish,
Payments,
Order,
OrderItem,
Delivery)
from django.contrib.auth.models import User
f... | null | src/store/views.py | views.py | py | 6,499 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "paystack.resource",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "paystackapi.paystack.Paystack",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "models.Dish.objects.get",
"line_number": 35,
"usage_type": "call"
},
{
"api_name"... |
69827600 | import attr
import random
class Error(BaseException):
def __init__(self, issue):
super().__init__(issue)
self.rule_error = issue
class State(object):
EMPTY = 0
P1 = 1
CPU = 2
@attr.s
class Rules(object):
map = attr.ib()
def check(self):
forwardslash = [0, 4 , ... | null | examples/to_replace/tictactoe/game.py | game.py | py | 3,213 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "attr.ib",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 76,
"usage_type": "call"
},
{
"api_name": "attr.s",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "attr.ib",
"line_number": 100,
... |
379697078 | from collections import namedtuple
from PySide import QtGui, QtCore
from pyrf.gui import labels
from pyrf.gui import colors
from pyrf.gui.util import hide_layout
from pyrf.gui.fonts import GROUP_BOX_FONT
from pyrf.gui.widgets import (QCheckBoxPlayback, QDoubleSpinBoxPlayback)
import numpy as np
REMOVE_BUTTON_WIDTH = ... | null | pyrf/gui/trace_controls.py | trace_controls.py | py | 15,940 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.namedtuple",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "PySide.QtGui.QWidget",
"line_number": 59,
"usage_type": "attribute"
},
{
"api_name"... |
557564258 | # Copyright 2018 GoDaddy
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to ... | null | octavia_tempest_plugin/tests/scenario/v2/test_member.py | test_member.py | py | 9,534 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tempest.config.CONF",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "tempest.config",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "octavia_tempest_plugin.tests.test_base.LoadBalancerBaseTest",
"line_number": 29,
"usage_type": "a... |
352703087 | from django.db import models
from django.conf import settings
class BaseShadowAccount(models.Model):
user = models.OneToOneField(
settings.AUTH_USER_MODEL,
null=True,
blank=True,
on_delete=models.SET_NULL
)
email = models.EmailField(
blank=True,
null=True,
... | null | babik_shadow_accounts/models.py | models.py | py | 493 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.db.models.Model",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "django.db.models.OneToOneField",
"line_number": 6,
"usage_type": "call"
},
{
"api_name... |
237007505 | import pygame
import sys
import math
from board import Board
from ship import Ship
import motion_manager
import csv
import drag_manager
def in_range(first, last, radius):
if math.sqrt((first[0] - last[0]) ** 2 + (first[1] - last[1]) ** 2) < radius:
return True
return False
pygame.init()
width = 810
... | null | main.py | main.py | py | 2,530 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "math.sqrt",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pygame.init",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"l... |
371461921 | # coding=utf-8
# Copyright 2016 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
from __future__ import (absolute_import, division, generators, nested_scopes, print_function,
unicode_literals, with_statement)
import logging
impor... | null | src/python/pants/engine/isolated_process.py | isolated_process.py | py | 10,227 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pants.util.contextutil.temporary_file_path",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "pants.util.contextutil.open_tar",
"line_number": 31,
"usage_type": "call"
... |
514756674 | import os
import json
import hashlib
import requests
import better_exceptions
from dateutil import parser
from datetime import datetime
from bs4 import BeautifulSoup
better_exceptions.MAX_LENGTH = None
THIS_DIR = os.path.dirname(os.path.abspath(__file__))
def grab_cn(url):
# Parse the XML from CN
cn_list = ... | null | getschedule.py | getschedule.py | py | 3,804 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "better_exceptions.MAX_LENGTH",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.pat... |
303374244 | import datetime
from api.controller import Controller
from api.decorators import requires, get, post
from sc import models
from web.ldap_wrapper import LDAP
from django.contrib.auth.models import User as AuthUser
from api import exceptions
from io import TextIOWrapper
import csv
import json
def requires_superuser(fun... | null | web/controllers.py | controllers.py | py | 14,309 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "api.exceptions.HttpForbidden",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "api.exceptions",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "django.contrib.auth.models.User.objects.get",
"line_number": 23,
"usage_type": "call"
},
... |
587922480 | from direct.directnotify import DirectNotifyGlobal
from direct.gui.DirectGui import *
from direct.task.Task import Task
from panda3d.core import *
from src.toontown.distributed import ToontownDistrictStats
from src.toontown.hood import ZoneUtil
from src.toontown.shtiker import ShtikerPage
from src.toontown.coghq import... | null | src/toontown/shtiker/ShardPage.py | ShardPage.py | py | 27,638 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "src.toontown.suit.SuitDNA.suitDeptModelPaths",
"line_number": 46,
"usage_type": "attribute"
},
{
"api_name": "src.toontown.suit.SuitDNA",
"line_number": 46,
"usage_type": "name"
},
{
"api_name": "src.toontown.suit.SuitDNA.suitDeptModelPaths",
"line_number": 47,... |
511003896 | import os
from flask import jsonify, redirect, render_template, request, url_for
from flask_login import current_user, login_user, login_required, logout_user
import requests
from app import app, db
from app.models import User, SigninImage
NN_KEY_DIFFERENCE = 10
NN_SEARCH_KEY = 1
class InvalidUsage(Exception):
... | null | app/views.py | views.py | py | 4,380 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.jsonify",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "app.app.errorhandler",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "app.app",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "app.app.route",
"line_... |
374769261 | import firebase_admin
from firebase_admin import credentials
from firebase_admin import firestore
import os
path = os.path.dirname(os.path.realpath(__file__))
cred = credentials.Certificate(os.path.join(path ,"sistema-caixa-firebase-adminsdk-o6faa-77b6d40db9.json"))
firebase_admin.initialize_app(cred)
def ... | null | db.py | db.py | py | 524 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.dirname",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "firebase_admin.credentials... |
404191250 | """Preprocessor functions for ancillary variables and cell measures."""
import logging
import warnings
from pathlib import Path
from typing import Iterable
import dask.array as da
import iris.coords
import iris.cube
from esmvalcore.cmor.check import cmor_check_data, cmor_check_metadata
from esmvalcore.cmor.fix impor... | null | esmvalcore/preprocessor/_supplementary_vars.py | _supplementary_vars.py | py | 9,892 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "iris.coords.cube.CubeList",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "iris.coords.cube",
"line_number": 55,
"usage_type": "attribute"
},
{
"api_name": "iri... |
578399857 | import requests
import json
# put your keys in the header
headers = {
"app_id": "5b8b9491",
"app_key": "51d177e8f5316049ae4a5d209c5af117"
}
payload = '{"image":"images/shravan.jpg"}'
url = "http://api.kairos.com/detect"
# make request
r = requests.post(url, data=payload, headers=headers)
data = r.json()
p... | null | test_kairos.py | test_kairos.py | py | 331 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.post",
"line_number": 16,
"usage_type": "call"
}
] |
453740327 | #!/usr/bin/env Python
# coding=utf-8
import unittest
from BSTestRunner import BSTestRunner
import time
import smtplib #发送邮件模块
from email.mime.text import MIMEText #定义邮件内容
from email.header import Header #定义邮件标题
import os
def send_mail(latest_report):
f=open(latest_report,'rb')
mai... | null | webdriver/6-1~6-15/Test_Baidu/runtest_email.py | runtest_email.py | py | 2,136 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "email.mime.text.MIMEText",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "smtplib.SMTP_SSL",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "os.path.getatime... |
352253625 | #!/usr/bin/env python
from typing import Any, Callable, Dict, Generator, Iterable, Iterator, List, Match, Optional, Set, Tuple, TypeVar
from git_machete import __version__
import datetime
import getopt
import io
import itertools
import os
import re
import shutil
import subprocess
import sys
import textwrap
# Core u... | null | git_machete/cmd.py | cmd.py | py | 187,631 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "typing.TypeVar",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "typing.Iterable",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "typing.Callable",
"lin... |
1719089 | import pdb
"""
Created on Apr 22 2014
@author: rkp
Test the ability of the algorithm to segment a couple control trajectories.
"""
import SVAR.datagen as datagen
import SVAR.model as SV
import matplotlib.pylab as plt
import numpy as np
import pickle
FNAME_mosq = '/Users/rkp/Data/Real_Data/trajectories/mosquito/long_... | null | wind_tunnel/old/SVAR/test_suite/segment.py | segment.py | py | 2,185 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.pylab.close",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "matplotlib.pylab",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "pickle.load",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "SVAR.model.Model"... |
625262577 | """
A character is unique in string S if it occurs exactly once in it.
For example, in string S = "LETTER", the only unique characters are "L" and "R".
Let's define UNIQ(S) as the number of unique characters in string S.
For example, UNIQ("LETTER") = 2.
Given a string S with only uppercases, calculate the sum of ... | null | leetcode/uniqueLetterString/solution.py | solution.py | py | 1,980 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.defaultdict",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "bisect.bisect_left",
"line_number": 63,
"usage_type": "call"
}
] |
618403955 | from sqlalchemy import (
Column,
Integer,
VARCHAR,
)
from sqlalchemy.ext.declarative import declarative_base
Base = declarative_base()
class Routers(Base):
__tablename__ = "routers"
id = Column(Integer, primary_key=True, nullable=False, autoincrement=True)
router_name = Column(VARCHAR(80))
... | null | models.py | models.py | py | 1,040 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sqlalchemy.ext.declarative.declarative_base",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integer",
"line_number": 14,
"usage_type": "argument"
},
{
... |
166974889 | """
eligibilitycheck.py
Extends the EDI processing workflow to add a simple FHIR R4 translation.
"""
import datetime
import json
import logging
import ssl
from asyncio import get_running_loop
from edi.core.models import EdiOperations
from edi.core.support import perf_counter_ms
from edi.core.workflows import EdiProce... | null | edi/extensions/eligibilitycheck.py | eligibilitycheck.py | py | 10,272 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "edi.core.workflows.EdiProcessor",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "edi.core... |
427873575 | """P-Roc hardware platform devices."""
import logging
from mpf.platforms.interfaces.light_platform_interface import LightPlatformSoftwareFade
from mpf.platforms.interfaces.switch_platform_interface import SwitchPlatformInterface
from mpf.platforms.interfaces.driver_platform_interface import DriverPlatformInterface, Pu... | null | mpf/platforms/p_roc_devices.py | p_roc_devices.py | py | 4,551 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "mpf.platforms.interfaces.switch_platform_interface.SwitchPlatformInterface",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "logging.getLogger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "mpf.platforms.interfaces.driver_platform_interface.D... |
325631996 | import json
from parse_url import parse_url
class DouBanSpider():
def __init__(self):
self.url_temp = ["https://movie.douban.com/j/search_subjects?type=tv&tag=热门&page_limit=20&page_start={}",
"https://movie.douban.com/j/search_subjects?type=tv&tag=美剧&page_limit=20&page_start={}",
... | null | doubanspider.py | doubanspider.py | py | 1,291 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "json.loads",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "parse_url.parse_url",
"line_number": 32,
"usage_type": "call"
}
] |
177796523 | from collections import namedtuple
class ListNode:
def __init__(self, x):
self.val = x
self.next = None
class LinkedList:
def __init__(self, l):
assert(l, list)
prev = None
for i in l[::-1]:
curr = ListNode(i)
curr.next = prev
prev = ... | null | leetcode/easy_reverse_list.py | easy_reverse_list.py | py | 1,141 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.namedtuple",
"line_number": 31,
"usage_type": "call"
}
] |
429604081 | """Tests for messaging_service_util.py."""
import unittest
import mock
from perfkitbenchmarker import messaging_service_util
from tests import pkb_common_test_case
class MessagingServiceUtilTest(pkb_common_test_case.PkbCommonTestCase):
@mock.patch('perfkitbenchmarker.providers.gcp.gcp_pubsub.GCPCloudPubSub')
de... | null | tests/messaging_service_util_test.py | messaging_service_util_test.py | py | 1,092 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tests.pkb_common_test_case.PkbCommonTestCase",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "tests.pkb_common_test_case",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "perfkitbenchmarker.messaging_service_util.get_instance",
"line_num... |
460780765 | import sys, os, threading, re, datetime, time, pprint, subprocess
from pathlib import Path
import acmacs
from acmacs_py import utils, mapi_utils
# ======================================================================
def get_chart(request, filename :Path, populate_seqdb: bool = True):
filename_s = str(filename)
... | null | web/chains-202105/py/chart.py | chart.py | py | 11,998 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pathlib.Path",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "acmacs.Chart",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "acmacs.Chart",
"line_number... |
378786824 | # -*- test-case-name: tests.test_ttc -*-
import re
import sys
import traceback
from twisted.internet.defer import Deferred, inlineCallbacks
import pymongo
from bson.objectid import ObjectId
from vumi.application import ApplicationWorker
from vumi.message import TransportUserMessage
from vumi import log
from vumi.uti... | null | vusion/garbadge_worker.py | garbadge_worker.py | py | 4,017 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "vumi.application.ApplicationWorker",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "vumi.log.msg",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "vumi.log",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "pymongo.Conn... |
356330122 | import torch
from torch import nn
"""
Code to test LSTM implementation with Lam et.al.
Our implementation use vectorization and should be faster... but need to be verified.
"""
def encoder_blk(in_channels, out_channels):
return nn.Sequential(
nn.Conv2d(in_channels, out_channels, 3, padding=1, stride=1... | null | tests/verify_mri_lstm.py | verify_mri_lstm.py | py | 4,183 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.nn.Sequential",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "torch.nn.Conv2d",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_num... |
142547017 | import gym
import numpy as np
import os
import random
from keras import backend
from keras.models import Sequential, load_model, model_from_json
from keras.layers import Flatten, Dense, Conv2D, Activation
from collections import deque
from keras.optimizers import Adam, RMSprop
import json
class DQN:
def __init__... | null | Implementation/Breakout_DQN/breakout_dqn.py | breakout_dqn.py | py | 6,305 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.zeros",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "keras.models.load_model",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "keras.models.Se... |
500842738 | import os
import multiprocessing
def copy_file(queque,f_name,new_folder_path,old_folder_path):
"""完成文件的复制"""
new_path = os.path.join(new_folder_path,f_name)
origin_path = os.path.join(old_folder_path,f_name)
origin_file = open(origin_path,"rb")
# print(f"正在复制{origin_path}")
# 如果要拷贝大文件,这里就换成whi... | null | socket/ubuntu_py/多任务-多进程/04多任务拷贝文件夹.py | 04多任务拷贝文件夹.py | py | 1,757 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.join",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
... |
524329964 | """Tests related to the authorization of api calls.
NOTE: while all of these are conceptually authorization related, some illegal
operations will raise exceptions other than AuthorizationError. This usually
happens when the operation is illegal *in principle*, and would not be fixed by
authenticating as someone else. ... | null | tests/unit/api/auth.py | auth.py | py | 21,010 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "haas.auth.get_auth_backend",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "haas.rest.local.db.query",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "haas.rest.local.db",
"line_number": 42,
"usage_type": "attribute"
},
{
"api_n... |
363416902 | import os
from collections import (
namedtuple,
defaultdict
)
from typing import List
infile_path = os.path.join(os.path.dirname(os.path.realpath(__file__)), 'input.txt')
class Coord:
def __init__(self, x: int, y: int):
self.x = x
self.y = y
def __eq__(self, other):
return sel... | null | 2018/day3/rectangular.py | rectangular.py | py | 3,016 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.join",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path.realpath",
"line_n... |
603223816 | from django.test import TestCase
from .models import Enterprise, Driver, Vehicle
from .factories import EnterpriseFactory, DriverFactory, VehicleFactory, GpsTrackFactory
from rest_framework.test import APITestCase
from .serializers import EnterpriseSerializer, VehicleSerializer
import json
class EnterpriseTestCase(Tes... | null | django/core/tests.py | tests.py | py | 4,497 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.test.TestCase",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "factories.EnterpriseFactory",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "factories.DriverFactory",
"line_number": 11,
"usage_type": "call"
},
{
"api_name"... |
86471403 | import json
import os
import shutil
from pathlib import Path
from typing import Any, Dict, List, Union
import pandas as pd
import pendulum
import prefect
from prefect import Flow, Task, apply_map, task
from prefect.backend import set_key_value
from prefect.tasks.secrets import PrefectSecret
from prefect.utilities impo... | null | viadot/flows/supermetrics_to_adls.py | supermetrics_to_adls.py | py | 13,931 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "prefect.utilities.logging.get_logger",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "prefect.utilities.logging",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "tasks.SupermetricsToDF",
"line_number": 32,
"usage_type": "call"
},
{
... |
338560728 | import time
import re
from odoo.osv import expression
from odoo.tools import DEFAULT_SERVER_DATETIME_FORMAT
from odoo import api, fields, models, SUPERUSER_ID, _
from odoo.exceptions import UserError, except_orm, Warning, RedirectWarning, ValidationError
from datetime import datetime
from dateutil.relativedelta import ... | null | v12_bsc_beacukai/model/stock_picking.py | stock_picking.py | py | 42,019 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "odoo.models.Model",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "odoo.models",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "odoo.fields.Many2one",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "odoo.fields",... |
368496809 | import pytest
from talentmap_api.common.serializers import PrefetchedSerializer
@pytest.mark.django_db()
def test_prefetched_child_fields():
override_fields = [
"id",
"long_description",
"banana",
"post",
"post__banana",
"post__danger_pay",
"post__randr__de... | null | talentmap_api/common/tests/test_prefetched_serializer.py | test_prefetched_serializer.py | py | 1,024 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "talentmap_api.common.serializers.PrefetchedSerializer.parse_child_overrides",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "talentmap_api.common.serializers.PrefetchedSerializer",
"line_number": 46,
"usage_type": "name"
},
{
"api_name": "pytest.mark.dja... |
294598641 | # -*- coding: utf-8 -*-
#
# Copyright © Spyder Project Contributors
# Licensed under the terms of the MIT License
# (see spyder/__init__.py for details)
"""
Toolbar Container.
"""
# Standard library imports
from collections import OrderedDict
# Third party imports
from qtpy.QtCore import QSize, Slot
... | null | spyder/plugins/toolbar/container.py | container.py | py | 10,265 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "spyder.api.translations.get_translation",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "spyder.api.widgets.main_container.PluginMainContainer",
"line_number": 44,
"usage_type": "name"
},
{
"api_name": "collections.OrderedDict",
"line_number": 48,
... |
542736010 | #-*- coding:cp949 -*-
__author__ = 'naseil'
import random
from pylab import plot
from pylab import show
import matplotlib.pyplot as plt
class kmeans:
n = 100
k = 0
p = []
means = []
label = [None] * n #label[i] = j -> i번 점의 그룹이 j이다
# n개의 랜덤 좌표를 생성하여 p배열에 저장한다
def setRandomPoint(self):
... | null | kMeans.py | kMeans.py | py | 2,440 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "random.random",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "random.random",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot"... |
584248994 | """
Predictive text T9 using trie tree for tast suggestions search
Author: Elias J. Perez
"""
from itertools import product
""" create a list of the dial pad, index will correspond to the number dialed and value to the options """
key_pad = {1:["'"],
2:["a", "A", "b", "B", "c", "C"],
3:["d", "D... | null | challenges/predictive_text.py | predictive_text.py | py | 3,170 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "itertools.product",
"line_number": 53,
"usage_type": "call"
}
] |
199230891 | # -*- coding: utf-8 -*-
"""
Visualize financial instruments
Created on Sat Oct 31 14:15:43 2020
@author: ryanar
"""
import math
from stock_analysis import Technical
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
import mplfinance as mpf
import numpy as np
import pandas as pd
impo... | null | stock_analysis/stock_visualizer.py | stock_visualizer.py | py | 32,074 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "stock_analysis.Technical",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "utils.validate_df",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 163,
"usage_type": "attribute"
},
{
"api_name": "pan... |
643729414 | import sys, json, re, requests
from puhu import getPlist
from bs4 import BeautifulSoup
pageID = re.search(r"item_id: ?\"(?P<id>\d+)\"", requests.get("https://puhutv.com/yabanci-filmler").text).groupdict()["id"]
endpoint = "https://puhutv.com/ajax/widget/render?cms_design_widget_id=4121&content_pool_id_page_no={}&info_... | null | interface.py | interface.py | py | 1,690 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "re.search",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_numbe... |
577374835 | from django.conf.urls import url
from .views import *
from django.contrib.auth.views import login, logout_then_login
urlpatterns = [
url(r'^$',index_view,name='index_view'),
url(r'^signup/$',signup.as_view(),name='signup'),
url(r'^admin/$',admin,name='admin'),
url(r'^Crear_Categoria/$',Crear_Categoria.as_view(),na... | null | apps/voto/urls.py | urls.py | py | 1,001 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.conf.urls.url",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.co... |
544905512 |
# only run for csvs that don't exist already
# get list of all playerId's on playerboxscores data
# Scrape teams for every playerid greater than 2015 season
# Match name + team + season to get player Id's
# Match salary by date + playerId to playerBoxScores
# -------see if any playerId doesn't have a match
# Fill in ... | null | web scraping/player salaries.py | player salaries.py | py | 5,058 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "datetime.datetime.strptime",
"line_number": 77,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 77,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 78,
"usage_type": "call"
},
{
"api_name"... |
22605112 | '''
Created on 15 Feb 2018
@author: Geoffroy Noel
'''
from ._kdlcommand import KDLCommand
from django.db import connection
from django.db import transaction
from django.conf import settings
class Command(KDLCommand):
'''
'''
help = 'KDL toolbox'
def action_flush(self):
'''Django flush comma... | null | kdl_wordpress2wagtail/management/commands/kdltools.py | kdltools.py | py | 1,311 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "_kdlcommand.KDLCommand",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "django.conf.settings.DATABASES",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings",
"line_number": 23,
"usage_type": "name"
},
{
"a... |
110639600 | import logging
import ftplib
import os
import re
from flexget import plugin
from flexget.event import event
from flexget.entry import Entry
log = logging.getLogger('ftp_list')
class InputFtpList(object):
"""
Generate entries from a ftp listing
Configuration:
ftp_list:
config:
na... | null | flexget/plugins/input/ftp_list.py | ftp_list.py | py | 5,685 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flexget.validator.factory",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "flexget.validator",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "ftplib.... |
144894804 | # -*- coding: utf-8 -*-
"""
Contains the cosmic rays base class which allows to store arbitrary properties for the cosmic rays and
makes them accesseble via key or getter function.
The second class describes sets of cosmic rays as needed for larger studies.
"""
import matplotlib.pyplot as plt
import numpy as np
from a... | null | astrotools/cosmic_rays.py | cosmic_rays.py | py | 26,321 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "astrotools.skymap.scatter",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "astrotools.skymap",
"line_number": 37,
"usage_type": "name"
},
{
"api_name": "numpy.bincount",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "astrotools... |
54746075 | from typing import List, Tuple, Dict
from heapq import heappop, heappush
from collections import defaultdict
class Graph:
children: defaultdict
weight: Dict[Tuple[int, int], int]
def __init__(self, edges) -> None:
self.children = defaultdict(list)
self.weight = {}
for i, j, w in e... | null | 1334.py | 1334.py | py | 1,248 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.defaultdict",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "collections.defaultdict... |
233435151 | import os,configparser,pymysql
from pymysql.cursors import DictCursor
from DBUtils.PooledDB import PooledDB
class Config(object):
def __init__(self,config_filename="dbMysqlConfig.cnf"):
print(os.path.dirname(__file__))
file_path=os.path.join(os.path.dirname(__file__),config_filename)
self.c... | null | venv/Include/04/msyql_DButils.py | msyql_DButils.py | py | 6,546 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.dirname",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8... |
297637982 | from django.shortcuts import render, redirect, get_object_or_404
from .forms import PostForm, CommentForm
from .models import Post, HashTag, Comment
from django.core.paginator import Paginator
from accounts.models import User
from django.contrib.auth.decorators import login_required
@login_required
def index(request)... | null | posts/views.py | views.py | py | 3,816 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "models.Post.objects.all",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "models.Post.objects",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "models.Post",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "django.c... |
140617256 | import os
import keras
from keras_bert import get_model
model = get_model(
token_num=30000,
pos_num=512,
transformer_num=12,
head_num=12,
embed_dim=768,
feed_forward_dim=768 * 4,
)
model.summary(line_length=120)
current_path = os.path.dirname(os.path.abspath(__file__))
output_path = os.path.jo... | null | demo/visualization/vis.py | vis.py | py | 733 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "keras_bert.get_model",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
... |
4460912 | import json
import os
dir = os.path.dirname(os.path.abspath(__file__))
def get_link(obj):
return "https://vk.com/id"+str(obj["id"])
with open(dir + "\\" + "skeleton_interests_cleaned.json", encoding='utf-8') as fh:
skeleton = json.load(fh)
cities = {}
for item in skeleton:
if "city" in item:
c... | null | links_printer.py | links_printer.py | py | 594 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.dirname",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_numbe... |
304258261 | import requests
import json
url="http://127.0.0.1:8005/courses"
post_url="http://127.0.0.1:8005/course"
#response = requests.get(url)
course_json=json.dumps({ "course_name": "New course 20", "author_name": "futurex", "course_section": { "section1":"Value", "section2":"Value3" }, "creation_date": "2021-03-20" })
r... | null | ss/RestClient/main.py | main.py | py | 412 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "json.dumps",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 7,
"usage_type": "call"
}
] |
218362082 | #!/usr/bin/env python2
"""Bitcoincharts modules, interacts and builds data feed from JSON file"""
import logging
import feedparser
import monitoring
import events
import sys
def init_logging():
logging.basicConfig(
level=logging.DEBUG,
filename='log.txt',
filemode='w',
format='%(asc... | null | main.py | main.py | py | 923 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.basicConfig",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "logging.StreamHandler",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sys.stdo... |
653442880 | import torch
import torch.nn as nn
from torch.autograd import Variable as V
from MatrixLSTM_lr.MatrixLSTMCell import MatrixLSTMCell
from MatrixLSTM_lr.MatrixGrMul import MatrixGrMul
import torch.nn.functional as F
class MatrixLSTM_lr(nn.Module):
def __init__(self, input_size,output_size):
super(MatrixLSTM_... | null | Grassmann_PCA/MatrixLSTM_lr/MatrixLSTM.py | MatrixLSTM.py | py | 1,165 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.nn.Module",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "MatrixLSTM_lr.MatrixLSTMCell.MatrixLSTMCell",
"line_number": 12,
"usage_type": "call"
},
{
"api_name"... |
175813701 | from PIL import Image,ImageFilter
import importlib.util as import_utils
import random
import numpy as np
import unittest
spec = import_utils.spec_from_file_location("utils", "dfstego/utilities/myutils.py")
utils = import_utils.module_from_spec(spec)
spec.loader.exec_module(utils)
myconstants = utils.import_module("myc... | null | test/methodEMD/test_methodEMDEncodeMessageToPicture.py | test_methodEMDEncodeMessageToPicture.py | py | 3,607 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "importlib.util.spec_from_file_location",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "importlib.util",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "importlib.util.module_from_spec",
"line_number": 8,
"usage_type": "call"
},
{
... |
288797230 | from rest_framework import permissions
from schedule.models import College
from user.models import Teacher, User
SUPER_ADMIN = '超级管理员'
COLLEGE_ADMIN = '学院管理员'
ADMIN_LIST = [SUPER_ADMIN, COLLEGE_ADMIN]
def is_admin(user):
for i in user.groups.values():
if i['name'] in ADMIN_LIST:
return True
... | null | utils/permissions.py | permissions.py | py | 4,701 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "user.models.groups.values",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "user.models.groups",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "user.models",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "user.mo... |
346304499 |
import importlib
import importlib
import os
import sys
from setuptools import find_packages
from setuptools import setup
here = (os.path.abspath(os.path.dirname(__file__)))
src = os.path.join(here, "src/use")
sys.path.insert(0, src)
import use
meta={
"name":"justuse",
"description":"A beautiful, simple and... | null | setup.py | setup.py | py | 1,477 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.abspath",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line... |
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