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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
534167126 | import pyglet
import time
from pyglet.window import Window, mouse, gl
platform = pyglet.window.get_platform()
# Get an instance of current display
display = platform.get_default_display()
screen = display.get_default_screen()
mygame = pyglet.window.Window(600, 710,
resizable=False, # Make sure it is ... | null | projects/fqj/stacks.py | stacks.py | py | 6,456 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pyglet.window.get_platform",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pyglet.window",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "pyglet.window.Window",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pygl... |
271061562 | import tornado.web
import json
import time
from dateutil import parser
from status.util import dthandler, SafeHandler
class QuotasHandler(SafeHandler):
""" Serves a grid of time series plots for UPPNEX storage quotas.
URL: /quotas
"""
def get(self):
t = self.application.loader.load("quota_gri... | null | status/quotas.py | quotas.py | py | 2,267 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "status.util.SafeHandler",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "status.util.SafeHandler",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "status.util.SafeHandler",
"line_number": 29,
"usage_type": "name"
},
{
"api_name":... |
77406254 | import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from sklearn.linear_model import LinearRegression
housing_prepared = np.load("housing_prepared.npy")
housing_labels = np.load("housing_labels.npy")
print(housing_prepared)
print(housing_labels)
lin_reg = LinearRegression()
lin_reg.fit(housing_prep... | null | Chapter2_End2End_ML_project/select_model.py | select_model.py | py | 1,463 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.load",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sklearn.linear_model.LinearRegression",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sklearn.met... |
296825858 | from fastapi import FastAPI
from pororo import Pororo
app = FastAPI()
is_ready = False
model = None
model = Pororo(task="sentiment", model="brainbert.base.ko.shopping", lang="ko")
if model:
is_ready = True
#endpoints
@app.get("/")
async def health():
if is_ready:
output = {'code': 200}
else:
output - {'code'... | null | lina_nlp_hub/sentence_classification/pororo_sentiment_analysis/inferencer.py | inferencer.py | py | 520 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pororo.Pororo",
"line_number": 8,
"usage_type": "call"
}
] |
309159864 |
import os
import time
import resource
import copy
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
import tensorflow as tf
from tensorflow.keras.callbacks import Callback
from tensorflow.keras import backend
from tensorflow.keras import Model
from lib.classes.callback_classes... | null | lib/classes/callback_classes/MnistAutoencoderCallback.py | MnistAutoencoderCallback.py | py | 3,926 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "lib.classes.callback_classes.MyRecordingCallback.MyRecordingCallback",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "lib.classes.dataset_classes.MnistAutoencoderDataset.MnistAutoencoderDataset",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "... |
206151994 | import logging
import re
from core.models import AuthToken
from django.conf import settings
from django.utils import timezone
from rest_framework import status
from rest_framework.response import Response
logger = logging.getLogger('vote')
def error(reason, status=status.HTTP_400_BAD_REQUEST):
logger.info('Statu... | null | core/views/utils.py | utils.py | py | 1,581 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "rest_framework.status.HTTP_400_BAD_REQUEST",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.status",
"line_number": 12,
"usage_type": "name"
},
{... |
175059918 | import django_filters
import graphene
import graphql_geojson
from decimal import Decimal
from django.contrib.gis.geos import Polygon
from graphene.relay import Node
from graphene_django import DjangoConnectionField, DjangoObjectType
from graphene_django.converter import convert_django_field
from db.types_revision impo... | null | occurrences/models_graphql.py | models_graphql.py | py | 3,784 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "graphene.ObjectType",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "graphene.Int",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "graphql_geojson.Geometry",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "graphe... |
177659591 | '''
fmt = getattr(settings, 'LOG_FORMAT', None)
lvl = getattr(settings, 'LOG_LEVEL', logging.DEBUG)
logging.basicConfig(format=fmt, level=lvl)
logging.debug(neprojectbject.OrderId.id)
'''
from django.shortcuts import render
from django.shortcuts import get_object_or_404
from django.http import JsonResponse
from d... | null | cmms/views/projectview.py | projectview.py | py | 3,473 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.shortcuts.render",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "django.template.loader.render_to_string",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "django.template.loader.render_to_string",
"line_number": 57,
"usage_type"... |
360185080 | from solution import Solution
from typing import List
import math
import functools
class LargestNumber(Solution):
"""
Given a list of non negative integers, arrange them such that they form the
largest number.
LEVEL: M
"""
def testCases(self):
return [
(([0, 0],), "0"),... | null | m_largest_number.py | m_largest_number.py | py | 2,071 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "solution.Solution",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "math.pow",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "math.log10",
"line_number":... |
484217890 | import asyncio
loop = asyncio.new_event_loop()
asyncio.set_event_loop(loop)
import json
import traceback
from datetime import date, timedelta
import alpaca_trade_api as tradeapi
import matplotlib.pyplot as plt
import nest_asyncio
import pandas as pd
import pygit2
import pytz
import requests
import streamlit as st
imp... | null | analysis/backtester_ui.py | backtester_ui.py | py | 11,589 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "asyncio.new_event_loop",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "asyncio.set_event_loop",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "liualgotrader.common.config.build_label",
"line_number": 28,
"usage_type": "attribute"
},
... |
563495072 | # author：joketeng time：2018/10/29
import requests
import re
import os
class kugou(object):
def __init__(self):
self.headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.26 Safari/537.36 Core/1.63.6726.400 QQBrowser/1... | null | music_download/music.py | music.py | py | 9,373 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.exists",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "os.mkdir",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number"... |
203094798 | # This is a sample Python script.
# Press Shift+F10 to execute it or replace it with your code.
# Press Double Shift to search everywhere for classes, files, tool windows, actions, and settings.
import sys
from datetime import date
import math
def print_hi(name):
# Use a breakpoint in the code line below to debu... | null | main.py | main.py | py | 2,843 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.version_info",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "datetime.date.today",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "math.floor",
... |
24993852 | import os
import cv2
import fun_NM
import numpy as np
ocekivaniIzlazi = []
slikeBrojevaZaTreniranje = []
for filename in os.listdir('data_set_brojeva\\trening'):
#print(filename)
brojZaTreniranje = filename[0]
img = cv2.imread('data_set_brojeva\\trening\\' + filename)
img = cv2.cvtColor(img, cv2.COLOR... | null | neuronskaM.py | neuronskaM.py | py | 743 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.listdir",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_numb... |
140236933 | from io import BytesIO
from os import PathLike
from tempfile import TemporaryFile
from typing import Any, Dict, Generator, Mapping, Optional
from xml.etree import ElementTree
from zipfile import ZipFile
from furl import furl
try:
import httpx
except ImportError:
httpx = False
from pyopendart.api.http import ... | null | pyopendart/api/http/httpx.py | httpx.py | py | 4,060 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pyopendart.api.http.OpenApiClient",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "typing.Option... |
303209623 | """Gather information from three gzipped input files -
a tabular file with per-sample date info, a tabular file with pangolin lineage
information, and a JSON file with encoded per-sample variant information -
and write the combined data in tabular form to a zip file.
Also creates an SQL init file with the instructions ... | null | scripts/generate_combined_table.py | generate_combined_table.py | py | 3,136 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "json.load",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "gzip.open",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "gzip.open",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 61,
... |
349571271 | """
Copyright (c) 2013, Yohan Graterol
All rights reserved.
Redistribution and use in source and binary forms, with or without modification,
are permitted provided that the following conditions are met:
Redistributions of source code must retain the above copyright notice, this
list of conditions and the followin... | null | setup.py | setup.py | py | 2,297 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "setuptools.setup",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 43,
"usage_type": "call"
}
] |
338929564 | from turtle import Screen
from paddle import Paddle
from ball import Ball
import time
from scoreboard import Scoreboard
screen = Screen()
right_paddle = Paddle((350, 0))
left_paddle = Paddle((-350, 0))
ball = Ball()
scoreboard = Scoreboard()
screen.title("PING-PONG GAME")
screen.setup(width=800, height=600)
screen.... | null | main.py | main.py | py | 1,156 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "turtle.Screen",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "paddle.Paddle",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "paddle.Paddle",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "ball.Ball",
"line_number"... |
604011075 | #API- K.E.A.T.O.N Parker
import random, time, datetime
while True:
def openFileGreetings():
global greetingsPath, greetingsList, greetings
greetingsPath = "/home/jasmine/Desktop/K.E.A.T.O.N Parker/greetings/greetings.txt"
with open(greetingsPath, 'r+') as greetings:
gree... | null | KP.py | KP.py | py | 4,998 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "random.choice",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 64,
"usage_type": "attribute"
},
{
"api_name": "datetime.d... |
201487930 | import sys
import pandas as pd
from sqlalchemy import create_engine
from sqlalchemy.types import Integer
from decouple import AutoConfig
from utils import (
expand_results,
get_from_depara
)
USAGE_STRING = """
usage: python upload_postgres.py INPUT_FILE TABLE_NAME
"""
if len(sys.argv) == 1:
print(US... | null | projetos_vereadores_lupa/upload_postgres.py | upload_postgres.py | py | 1,775 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.argv",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 22... |
26818569 | # !/usr/bin/env python
# -*- coding: utf-8 -*-
# AI本体のコード
# 画像認識分野で有名なCNN VGG-16の層を一部改変した物
# author Shoichi Tanaka
# import宣言 使用するライブラリを宣言します(先頭大文字はライブラリ内の特定のクラスを指します）
from __future__ import print_function
import glob
import os
import sys
import cv2
import numpy as np
import pandas as pd
from keras.models import Seq... | null | sample/AI/AI_torizukan.py | AI_torizukan.py | py | 22,708 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "optparse.OptionParser",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 91,
"usage_type": "call"
},
{
"api_name": "numpy.random.seed",
"line_number": 97,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"... |
649662511 | from flask import Flask, abort, request, session
from flask.ext.sqlalchemy import SQLAlchemy
from .model import User
from .db import db
app = Flask(__name__)
app.secret_key = 'This is very very secret key.'
db.init_app(app)
@app.route('/users/', methods=['POST'])
def create_user():
username = request.form.get(... | null | spp/app.py | app.py | py | 1,055 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Flask",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "db.db.init_app",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "db.db",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "flask.request.form.get",
"line_nu... |
295287396 | """Change kontaktId to beaconId and lastEventTimestamp to lastSeen
Revision ID: 7650353b13df
Revises: e0d7ac5bc693
Create Date: 2020-10-26 10:36:01.553936
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '7650353b13df'
down_revision = 'e0d7ac5bc693'
branch_label... | null | backend/database/alembic/versions/7650353b13df_change_kontaktid_to_beaconid_and_.py | 7650353b13df_change_kontaktid_to_beaconid_and_.py | py | 1,689 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "alembic.op.add_column",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.String"... |
16615515 | #!/usr/bin/env python3
"""
simple rancher ftscloud backup script which starts the backup stacks of the different customers
proof of concept script
"""
import requests
import logging
import traceback
import os
# configure logger
# http://docs.python-guide.org/en/latest/writing/logging/
logger = logging.getLog... | null | roles/ftscloudbackup/templates/usr/local/bin/ftscloud-backup.py | ftscloud-backup.py | py | 6,091 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "logging.StreamHandler",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "logging.Formatter",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "logging.INF... |
620458111 | from trueskill import Rating, quality, BETA, global_env, setup
import itertools
import math
import random
def win_probability(team1, team2):
delta_mu = sum(r.mu for r in team1) - sum(r.mu for r in team2)
sum_sigma = sum(r.sigma ** 2 for r in itertools.chain(team1, team2))
size = len(team1) + len(team2)
... | null | team/makeTeam.py | makeTeam.py | py | 3,099 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "itertools.chain",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "math.sqrt",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "trueskill.BETA",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "trueskill.global_env",
"l... |
329843356 | import csv
import matplotlib.pyplot as plt
from datetime import datetime
filename='death_valley_2014.csv'
with open(filename) as f:
reader=csv.reader(f)
header_row=next(reader)
# #使得更容易阅读
# for index,column_header in enumerate(header_row):
# print(index,column_header)
#获取最高... | null | csv_and_json/highs_lows.py | highs_lows.py | py | 1,340 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "csv.reader",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyp... |
590633402 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Lennard Jones Particles
over a Sphere
Created on Fri Aug 25 15:03:00 2017
@author: peter
"""
import numpy as np
import math
import random as rand
from vpython import *
import matplotlib.pyplot as plt
import mpmath as mp
import csv
def placeParticles(N,r_sphere,r_p... | null | LJOnSphere.py | LJOnSphere.py | py | 5,741 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "random.choice",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "random.choice",
"line_... |
654198643 | import pika
import json
def connection_rabbitmq(config):
connection = pika.BlockingConnection(
pika.ConnectionParameters(host=config.get('RABBITMQ', 'HOST'),
port=config.get('RABBITMQ', 'PORT')))
channel = connection.channel()
with open('queue_config.json') as js... | null | provider/rabbit_mq_provider.py | rabbit_mq_provider.py | py | 1,044 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pika.BlockingConnection",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pika.ConnectionParameters",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "json.dumps"... |
500989518 | import re
import time
import math
import os
import threading
import ibm_db
import unittest
from selenium import webdriver
from selenium.webdriver.support.ui import WebDriverWait
# from sources.common import HTMLTestRunner
from sources import test
class A(unittest.TestCase, threading.Thread):
def setUp(self):
... | null | sources/selenium/hello.py | hello.py | py | 2,308 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "unittest.TestCase",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "threading.Thread",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 17,
"usage_type": "call"
},
{
"api_name":... |
275219423 | import datetime
from requests import get
from bs4 import BeautifulSoup
import io
import re
URL = 'url'
TITLE = 'title'
STATUS = 'status'
ORIGIN = 'origin'
ACT_NO = 'act_no'
YEAR = 'year'
TYPE = 'type'
CARRIAGE_MEMBER = 'carriage_member'
LONG_TITLE = 'long_title'
BILL_TEXT = 'text'
base_url = 'https://www.parliament.n... | null | ausbills/nsw_parliament.py | nsw_parliament.py | py | 4,734 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "bs4.BeautifulSoup",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"... |
644320540 | import sys
import json
import pygame
from bullet import Bullet
from target import Target
from time import sleep
def check_events(ship, bullets, ai_settings, screen, stats, button, targets, sb):
"""Check key presses and releases."""
for event in pygame.event.get():
if event.type == pygame.QU... | null | game_functions.py | game_functions.py | py | 5,849 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pygame.event.get",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pygame.event",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "pygame.QUIT",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"l... |
525900237 | #import libraries
from psychopy import visual
from psychopy import gui
from psychopy import core
from psychopy import data
from psychopy import misc
from psychopy import event
from psychopy.visual import filters
from psychopy import monitors
import time, numpy, random
#import retinotopyScans
import math
fro... | null | flasher.py | flasher.py | py | 22,763 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.zeros",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "numpy.asarray",
"line_number"... |
271403339 | from flask import Flask ,render_template
from flask_sqlalchemy import SQLAlchemy
from flask_migrate import Migrate
import requests
from datetime import date
app = Flask(__name__)
app.config["SQLALCHEMY_DATABASE_URI"] = "sqlite:///weather.sqlite"
app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False
db = SQLAlchemy(... | null | weatherreport.py | weatherreport.py | py | 2,001 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Flask",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask_sqlalchemy.SQLAlchemy",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask_migrate.Migrate",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "datetime... |
104310889 | import discord
from discord.ext import commands
from typing import Union, Optional, Dict
from handler import slash_command, user_command, InteractionContext
from handler import SlashCommandOption as Option
from handler import SlashCommandChoice as Choice
from cogs.error_handler import EphemeralContext
from utils.except... | null | cogs/modmail.py | modmail.py | py | 19,066 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "utils.bot.ModMail",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "... |
125741692 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import absolute_import, print_function
import sys
import itertools
import six
import numpy as np
from phonopy.structure.atoms import Atoms
from spglib import get_symmetry_dataset
__author__ = "Yuji Ikeda"
class StructureAnalyzer(object):
def __init__(... | null | cmtools/structure/structure_analyzer.py | structure_analyzer.py | py | 25,712 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.linalg.det",
"line_number": 74,
"usage_type": "call"
},
{
"api_name": "numpy.linalg",
"line_number": 74,
"usage_type": "attribute"
},
{
"api_name": "ph_unfolder.analysis.smearing.Smearing",
"line_number": 79,
"usage_type": "call"
},
{
"api_nam... |
158003945 | # The MIT License (MIT)
#
# Copyright (c) 2013 Fredrik Fjeldvaer
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy,... | null | yaem/apps/yaem/models.py | models.py | py | 6,548 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.db.models.Model",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "django.db.models.ForeignKey",
"line_number": 33,
"usage_type": "call"
},
{
"api_name... |
251821851 | import numpy as np
import os
from easydict import EasyDict as edict
import math
# general
config = edict()
config.bn_mom = 0.9
config.wd = 0.0005
config.mom = 0.9
config.workspace = 64
config.emb_size = 512
#config.ckpt_embedding = True
config.ckpt_embedding = False
config.net_se = 0
config.net_act = 'prelu'
config.ne... | null | train/config.py | config.py | py | 10,273 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "easydict.EasyDict",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "easydict.EasyDict",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "easydict.EasyDict",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "easydict.EasyDic... |
612505771 | from itertools import combinations
from collections import Counter
def solution(orders, course):
res = []
for c in course:
res1 = []
for order in orders:
pair = combinations(sorted(order), c)
res1 += pair
cnt = Counter(res1)
print(cnt)
i... | null | junkyu/메뉴 리뉴얼.py | 메뉴 리뉴얼.py | py | 721 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "itertools.combinations",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 13,
"usage_type": "call"
}
] |
576014343 | #!/usr/bin/env python3
"""DB module
"""
from sqlalchemy import create_engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
from sqlalchemy.orm.session import Session
from sqlalchemy.exc import InvalidRequestError
from sqlalchemy.orm.exc import NoResultFound
from user ... | null | 0x08-user_authentication_service/db.py | db.py | py | 2,189 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sqlalchemy.create_engine",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "user.Base.metadata.drop_all",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "user.Base.metadata",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_... |
285943108 | #!/usr/bin/env python3
# -------------------------------
# projects/netflix/Testnetflix.py
# Copyright (C) 2015
# Glenn P. Downing
# -------------------------------
# -------
# imports
# -------
from io import StringIO
from unittest import main, TestCase
from Netflix import netflix_read, netflix_eval, netflix... | null | et6482-TestNetflix.py | et6482-TestNetflix.py | py | 2,609 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "unittest.TestCase",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "io.StringIO",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "Netflix.netflix_read",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "io.StringIO",
... |
3756509 | # -*- coding: UTF-8 -*-
'''
Created on 2014年8月1日
@author: genghb
'''
#from com.zctt.iaap.services.cdrws.queryargs import DatabaseInfos
#from com.zctt.iaap.paf.contrib.sql import DIALECT
#from com.zctt.iaap.paf.contrib.db import dao
#from datetime import datetime, timedelta
#import time
#import com.zctt.iaap.service.sy... | null | service/com/zctt/iaap/services/cmccticket/ticketauth.py | ticketauth.py | py | 2,575 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "com.zctt.iaap.paf.settings.TICKET",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "com.zctt.iaap.paf.settings",
"line_number": 26,
"usage_type": "name"
},
{
... |
482882360 | try:
from urllib.parse import urlparse
except ImportError:
from urlparse import urlparse
from django.shortcuts import render
from django.http import HttpResponseRedirect
from django.core.urlresolvers import reverse
from django.contrib.auth.decorators import login_required
from .forms import ProfileForm, UserF... | null | {{cookiecutter.project_name}}/apps/accounts/views.py | views.py | py | 1,814 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "forms.UserForm",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "forms.ProfileForm",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "urlparse.urlparse",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "django.core.urlres... |
30980015 | import matplotlib.pyplot as plt
import pandas as pd
import os.path
from pathlib import Path
BASE_DIR = Path(__file__).resolve().parent.parent.parent
model_1 = "detector/logs/model-1612398660-lr1e-06-factor0.1pat2-thr0.01-val_pct0.2-train_batch150-128-72-512-noSofm-Relu-mse.csv"
model_2 = "detector/logs/model-161194539... | null | detector/graphs/loss_functions.py | loss_functions.py | py | 1,122 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pathlib.Path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path.path.join",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.path",
"line_n... |
99011651 | from django.db import models
import datetime
from ckeditor_uploader.fields import RichTextUploadingField
# Create your models here.
class TypeInfo(models.Model):
t_title = models.CharField(max_length=20)
is_delete = models.BooleanField(default=False)
def __str__(self):
return self.t_title
class... | null | lecongpro/leongGoods/models.py | models.py | py | 1,802 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.db.models.Model",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "... |
528028300 | from __future__ import print_function
import pymongo
#import xml.etree.ElementTree as ET
from lxml import etree as ET
import bz2
import sys,pdb
import time,re, nltk
from Queue import Queue
import threading
dbcoll = pymongo.MongoClient().wikidb['pages']
ns = {"wiki": "http://www.mediawiki.org/xml/export-0.10/"}
fi = b... | null | parse.py | parse.py | py | 2,986 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "bz2.BZ2File",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "Queue.Queue",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "Queue.Queue",
"line_n... |
637154583 | import pandas as pd
from yahoofinancials import YahooFinancials
import matplotlib.pyplot as plt
from datetime import date
#%% Funciones guays
def prep_df(simbolo, d_valor, start='2020-01-01'):
yf = YahooFinancials(simbolo)
data= yf.get_historical_price_data(
start_date=start,
end_date=date.toda... | null | portfolio.py | portfolio.py | py | 1,699 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "yahoofinancials.YahooFinancials",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "datetime.date.today",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "pand... |
30294505 | import os
import json
import subprocess
import threading
def encodeData(data, HEADER_LENGTH, fileBin=False):
if fileBin:
size = os.stat(r".\%s" % data).st_size
with open(data, "rb") as dataBin:
dataBin = dataBin.read()
head = f"{size:<{HEADER_LENGTH}}".encode('utf-8')
r... | null | Fun/Bomba/Server/sFuncs.py | sFuncs.py | py | 1,702 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.stat",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "subprocess.call",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 28,
... |
429385723 | #!/usr/bin/env python2.7
#
# Copyright 2013 (c) Lei Xu <eddyxu@gmail.com>
#
# 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... | null | contrib/mvd/parser.py | parser.py | py | 3,086 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.abspath",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "os.path.ismount",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numb... |
503243476 | # --------------
import time
import pandas as pd
import numpy as np
import nltk
from nltk import pos_tag
import matplotlib.pyplot as plt
# code starts here
df=pd.read_csv(path)
tagged_titles = df['nominee'].str.split().map(pos_tag)
print(tagged_titles)
tagged_titles_df=pd.DataFrame(tagged_titles)
# code ends here
... | null | Text-Parsing/code.py | code.py | py | 2,791 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.read_csv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "nltk.pos_tag",
"line_number": 12,
"usage_type": "argument"
},
{
"api_name": "pandas.DataFrame",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.s... |
562933795 | import pytest
from Loggingmodule.ClassToTest import SomeClassToTest
from Loggingmodule.AnotherCLassToTest import AnotherClass
@pytest.mark.usefixtures("oneTimeSetUp", "setUp") #This fixture is defined for the whole CLass
class TestClassDemo():
@pytest.fixture(autouse=True) #Since we need this object for all metho... | null | Pytestpackage/test_class1.py | test_class1.py | py | 886 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "Loggingmodule.ClassToTest.SomeClassToTest",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "Loggingmodule.AnotherCLassToTest.AnotherClass",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 8,
"usage_type": ... |
114738461 | from django.contrib.auth.models import User
from social.models import Connection
from django.db.models import Q
from profiles.models import Trait, UserProfile
from pandas import DataFrame
from random import shuffle
def get_friends(user_instance, exclude_self=False):
'''user, not userprofile'''
me = Us... | null | neurosphere/social/utils.py | utils.py | py | 3,336 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "profiles.models.UserProfile.objects.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "profiles.models.UserProfile.objects",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "profiles.models.UserProfile",
"line_number": 10,
"usage_... |
607633322 | # -*- encoding: utf-8 -*-
from __future__ import unicode_literals
import io
import textwrap
import unittest
from clkhash import clk, schema, randomnames, validate_data
from future.builtins import range
class TestChunks(unittest.TestCase):
def test_simple_chunk(self):
l = list(range(100))
res =... | null | tests/test_clk.py | test_clk.py | py | 8,128 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "unittest.TestCase",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "future.builtins.range",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "clkhash.clk.chunks",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "clkha... |
645279930 | from imutils.perspective import four_point_transform
import numpy as np
from imutils import contours
import imutils,time
import cv2
def read_image(img):
"""Read image from file"""
image = cv2.imread(img)
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
blurred = cv2.GaussianBlur(gray, (7,7), ... | null | prepocessing/preprocess.py | preprocess.py | py | 6,097 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cv2.imread",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "cv2.GaussianBlur",
... |
257562833 | #!/usr/bin/env python
# coding: utf-8
# In[ ]:
from __future__ import print_function
import itertools
import numpy as np
import pandas as pd
import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import torch.utils.data as td
import torchvision as tv
from torch.a... | null | OurCycleGan_Large_Datasets.py | OurCycleGan_Large_Datasets.py | py | 10,570 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.cuda.is_available",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 46,
"usage_type": "attribute"
},
{
"api_name": "easydict.EasyDict",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "models.Gene... |
360585845 | #!/usr/bin/env python
# Copyright (C) 2023 by eHealth Africa : http://www.eHealthAfrica.org
#
# See the NOTICE file distributed with this work for additional information
# regarding copyright ownership.
#
# Licensed under the Apache License, Version 2.0 (the 'License');
# you may not use this file except in compliance... | null | aether-producer/setup.py | setup.py | py | 1,210 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "io.open",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "setuptools.setup",
"line_number": 29,
"usage_type": "call"
}
] |
566068666 | try:
from PIL import Image
except ImportError:
import Image
import cv2
import numpy as np
# import numpy as np
# import math
import pytesseract
from detectron2.config import get_cfg
from detectron2.data import MetadataCatalog
from detectron2.engine import DefaultPredictor
from detectron2.utils.visualizer import... | null | trans_probs.py | trans_probs.py | py | 11,990 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pytesseract.pytesseract",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "onmt.translate.translation_im",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "pytesseract.image_to_data",
"line_number": 67,
"usage_type": "call"
},
{
... |
648904533 | import os
import argparse
import random
import time
from tqdm import tqdm
import yaml
import shutil
from psutil import virtual_memory
import multiprocessing
import numpy as np
import torch
from torch import nn, optim
from torchvision import transforms
from torch.cuda.amp import autocast, GradScaler
import wandb
from ut... | null | train_modules/train_single_opt.py | train_single_opt.py | py | 21,624 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.environ",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 39,
"usage_type": "attribute"
},
{
"api_name": "torch.set_grad_enabled",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
... |
82774320 | import gym
from gym.wrappers import Monitor
from lagom.envs import GymEnv
def make_env(seed=None, monitor=False, monitor_dir=None):
env = gym.make('CartPole-v1')
if monitor:
env = Monitor(env, directory=monitor_dir)
env = GymEnv(env)
if seed is not None:
env.seed(seed)
r... | null | examples/policy_gradient/utils.py | utils.py | py | 329 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "gym.make",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "gym.wrappers.Monitor",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "lagom.envs.GymEnv",
"line_number": 11,
"usage_type": "call"
}
] |
390975526 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys
import io
"""
Topology is a branch of mathematics that examines the shapes and structures of objects.
The Euler characteristic is a topological label that we can determine for an item or collection of items.
For a group of two dimensional objects,
one way to... | null | python/ieeextreme/n09/thatssocharacteristicallyeuler/Xtreme9.0 - That's So Characteristically Euler!.py | Xtreme9.0 - That's So Characteristically Euler!.py | py | 9,813 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.setrecursionlimit",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "io.open",
"line_number": 324,
"usage_type": "call"
},
{
"api_name": "sys.stdin.fileno",
"line_number": 324,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"lin... |
63172055 | # -*- coding: utf-8 -*-
#
# Copyright (C) 2018-2020 CERN.
#
# invenio-app-ils is free software; you can redistribute it and/or modify it
# under the terms of the MIT License; see LICENSE file for more details.
"""Test loans item permissions."""
from __future__ import absolute_import, print_function
import json
from ... | null | tests/api/test_loan_item_permissions.py | test_loan_item_permissions.py | py | 5,403 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "invenio_accounts.testutils.login_user_via_session",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "invenio_accounts.models.User.query.get",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "invenio_accounts.models.User.query",
"line_number": ... |
445528183 | ################################################################################
# IMPORTS
################################################################################
# Important preconfiguration.
from gevent import monkey; monkey.patch_all()
# Stdlib.
from contextlib import closing
from functools import reduce
... | null | proxy/main.py | main.py | py | 5,822 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "gevent.monkey.patch_all",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "gevent.monkey",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "os.environ.get",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.environ",
"... |
297456000 | from django.urls import path
from . import views
app_name = 'accesscontrol'
urlpatterns = [
path('grant/', views.add_access, name='grant'),
path('edit/<int:pk>/', views.edit_access, name='edit'),
path('revoke/<int:pk>/', views.delete_access, name='revoke'),
path('list/', views.list_access, name='list'... | null | accesscontrol/urls.py | urls.py | py | 587 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
517580390 | from __future__ import annotations
from itertools import product
from sys import stdin
from typing import TypeVar
from distance_matrix.DistanceMatrix import DistanceMatrix
from graph.UndirectedGraph import Graph
from helpers.InputUtils import str_to_list
from phylogeny.UntrimTree import create_distance_matrix
N = T... | null | docs/data/learn/Bioinformatics/input/ch7_code/src/phylogeny/UPGMA.py | UPGMA.py | py | 6,453 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "typing.TypeVar",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "typing.TypeVar",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "typing.TypeVar",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "graph.UndirectedGraph.Gr... |
234915556 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('orders', '0002_remove_order_billing_address'),
]
operations = [
migrations.AlterField(
model_name='order',
... | null | orders/migrations/0003_auto_20150508_1032.py | 0003_auto_20150508_1032.py | py | 594 | 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.AlterField",
"line_number": 14,
"usage_type": "call"
},
{... |
648055809 | import sys
import os
from pymongo import MongoClient
import socials.vk.parser as vk
from settings import PUBLICS_LIST_FILE, MONGO_DB, MONGO_COLLECTION
PARSERS = {
'vk': vk
}
mongo_client = MongoClient()
mongo_db = mongo_client[MONGO_DB]
mongo_posts_collection = mongo_db[MONGO_COLLECTION]
def load_publics_li... | null | backend/parser.py | parser.py | py | 2,244 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "socials.vk.parser",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "pymongo.MongoClient",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "settings.MONGO_DB",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "settings.MONG... |
29637045 | from flask import Flask, request, jsonify
from webapp.stations import hh_stations
def create_app():
app = Flask(__name__)
@app.route('/api/v1/metro/verificate', methods = ['POST'])
def verificate_station():
stations_to_verify = []
unchanged = []
updated = []
deleted = []
... | null | webapp/__init__.py | __init__.py | py | 980 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask.request.json",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "webapp.stations.hh_s... |
139944588 | """
Orchestrating the dwi-preprocessing workflow
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.. autofunction:: init_fsl_dwi_preproc_wf
"""
import os
import json
from pkg_resources import resource_filename as pkgr_fn
import nibabel as nb
from nipype import logging
from nipype.pipeline import engine as pe
from nip... | null | qsiprep/workflows/dwi/fsl.py | fsl.py | py | 9,921 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "nipype.logging.getLogger",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "nipype.logging",
"line_number": 37,
"usage_type": "name"
},
{
"api_name": "nipype.pipeline.engine.Node",
"line_number": 91,
"usage_type": "call"
},
{
"api_name": "n... |
92801451 | import vk_api
import data
import random
#import time
from vk_api.longpoll import VkLongPoll, VkEventType
#from datetime import datetime
token = data.dt()
vk_session = vk_api.VkApi(token = token)
session_api = vk_session.get_api()
longpoll = VkLongPoll(vk_session)
#Стадия разговора с ботом.
stage = 1
... | null | main.py | main.py | py | 4,989 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "data.dt",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "vk_api.VkApi",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "vk_api.longpoll.VkLongPoll",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "vk_api.longpoll.VkEvent... |
623417524 |
import sys
from ezs3.command import do_cmd
import commands
import json
import logging
import traceback
from ezs3 import storage
from ezs3.log import EZLog
from ezs3.remote import ASYNC_MODE
from ezs3.cluster import ClusterManager, Role, RoleState, GW
EZLog.init_handler(logging.DEBUG, "/var/log/ezcloud... | null | PYTHON/reformat-osd-final.py | reformat-osd-final.py | py | 3,488 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "ezs3.log.EZLog.init_handler",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "ezs3.log.EZLog",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "logging.DEBUG",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "ezs3.lo... |
437179144 | ################################################################################
# #### Hiking_project_dbvisual.py ##### #
# #### written by: Etienne Deneault ##### #
##########################################################################... | null | Hiking_project_dbvisual_4.py | Hiking_project_dbvisual_4.py | py | 5,653 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sqlite3.connect",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pandas.read_sql_query",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "bokeh.models.ColumnDataSource",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "g... |
179739285 | from pyecharts.charts import Bar
# 配置图表
from pyecharts import options as opts
c=Bar(
Bar()
.add_xaxis(['1','2','3','4','5','6'])
.add_yaxis("好",[12,34,34,67,56,89])
.add_yaxis("坏",[13,37,109,56,47,79])
.set_global_opts(xaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(rotate=45)),
... | null | pyecharts教程/pyechar模块.py | pyechar模块.py | py | 406 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pyecharts.charts.Bar",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pyecharts.charts.Bar",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pyecharts.options.AxisOpts",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "py... |
19713792 | # -*- coding: utf-8 -*-
"""
Created on Sat Aug 8 13:09:42 2020
@author: yangy
"""
import torch
import torchvision
import torch.nn as nn
from torchvision import transforms
import torch.nn.functional as F
from torchsummary import summary
# device configuration
device = torch.device("cuda:0" if torch.cuda.is_available(... | null | tutorial-contents/900_pytorch_Resnet.py | 900_pytorch_Resnet.py | py | 5,394 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.device",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "torchvision.tran... |
329757666 | import re
import dominate
from dominate.tags import *
#Creacion de los léxicos
variables = ""
operadores = ""
enteros = ""
flotante = ""
strings = ""
comentarios = ""
comentariosMult = ""
palabrasReservadas = ""
lexico = [variables,operadores,enteros,flotante,strings,comentarios,comentariosMult,palabrasReservadas]
#Se ... | null | resaltador.py | resaltador.py | py | 4,363 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "dominate.document",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "re.match",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "re.match",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "re.match",
"line_number": 54,... |
622829463 | # -*- coding: utf-8 -*-
"""
Created on Sun Dec 3 23:36:59 2017
@author: Sharey
"""
import nltk
from nltk.corpus import brown
import collections
import numpy as np
import myHMM
# Estimating P(wi | ti) from corpus data using Maximum Likelihood Estimation (MLE):
# P(wi | ti) = count(wi, ti) / count(ti)
# add an art... | null | assignment/assign2_code_v2/hmmpostag.py | hmmpostag.py | py | 3,982 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.Counter",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.brown.tagged_sents",
"line_number": 29,
"usage_type": "call"
},
{
"api_name":... |
78941381 | import sys
from collections import deque
input = sys.stdin.readline
M, N, H = map(int, input().split())
t = [[[] for _ in range(N)] for _ in range(H)]
ripen = deque()
for i in range(H):
for j in range(N):
tmp = list(input().split())
t[i][j] = tmp
for k in range(M):
if tmp[k] == ... | null | algo_py/boj/bj7569.py | bj7569.py | py | 1,266 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.stdin",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "collections.deque",
"line_number": 7,
"usage_type": "call"
}
] |
418882627 | from zope import schema
from zope.component import getMultiAdapter
from zope.formlib import form
from zope.interface import implements
from plone.memoize.compress import xhtml_compress
from plone.app.portlets.portlets import base
from plone.memoize.instance import memoize
from plone.portlets.interfaces import IPortlet... | null | agsci/ExtensionExtender/portlet/similar.py | similar.py | py | 10,159 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "zope.interface.implements",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "zope.schema.interfaces.IVocabularyFactory",
"line_number": 26,
"usage_type": "argument"
},
{
"api_name": "zope.schema.vocabulary.SimpleVocabulary",
"line_number": 29,
"usa... |
581300610 | from django.conf.urls import url
from . import views
urlpatterns = [
url(
regex=r'^enroll/(?P<user_id>[0-9]+)/$',
view=views.EnrollMembershipBySuper.as_view(),
name='Enroll_by_super',
),
url(
regex=r'^(?P<user_id>[0-9]+)/(?P<payment_id>[0-9]+)/enroll/$',
view=views.E... | null | space_manager/membership/urls.py | urls.py | py | 799 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.conf.urls.url",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "django.... |
527015886 | #Kamyar Ghiam 15-112 Term Project "Deciduo" Animation Framework
from Supporting_Documents.TermProjectFinalMath import *
import pygame
import random
import string
from Supporting_Documents.Shift_Letters import findShift
from Databases.Final_Databases.SQL_Database.SQL_Support import *
#Food Database
import Databases.Fi... | null | RunProgram.py | RunProgram.py | py | 82,979 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pygame.font.init",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "pygame.font",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "pygame.font.Font",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "pygame.font",
... |
3748399 | import os, sys, re, signal, IPython
from IPython.utils import io
from IPython.core.autocall import IPyAutocall
import snappy
snappy_path = os.path.dirname(snappy.__file__)
icon_file = os.path.join(snappy_path, 'info_icon.gif')
if sys.platform == 'win32':
mousewheel_factor = -120
else:
mousewheel_factor = 1
try... | null | venv/Lib/site-packages/snappy-2.3.1-py2.7-win32.egg/snappy/tkterminal.py | tkterminal.py | py | 26,680 | 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": "snappy.__file__",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"li... |
225916444 | import http.client
class RESTClient(object):
def __init__(self, ip_addr, user_name):
self.user_name = user_name
self.__conn = http.client.HTTPConnection(ip_addr)
def get_groups(self):
headers = {'cache-control': "no-cache"}
url = "/api/" + self.user_name + "/groups"
s... | null | src/api/client.py | client.py | py | 1,227 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "http.client.client.HTTPConnection",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "http.client.client",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "http.client",
"line_number": 7,
"usage_type": "name"
}
] |
599178426 | import json
from django.shortcuts import render
from django.http import HttpResponse
class JsonResponse(HttpResponse):
def __init__(self, content, **kwargs):
kwargs['content_type'] = 'application/json'
if(isinstance(content, list)):
super(JsonResponse, self).__init__(json.dumps([ob.__di... | null | hello/views.py | views.py | py | 1,506 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.http.HttpResponse",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "json.dumps",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_n... |
229056926 | import numpy as np
import scipy.special
class NeuralNetwork:
def __init__(self, input_node, hidden_node, output_node, initial_wih, initial_who, learn_rate):
self.i_nodes = input_node
self.h_nodes = hidden_node
self.o_nodes = output_node
self.wih = initial_wih
self.who = in... | null | NeuralNetwork.py | NeuralNetwork.py | py | 2,118 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "scipy.special.special.expit",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "scipy.special.special",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "scipy.special",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "... |
281986998 | from __future__ import print_function
import select
import socket
import sys
import termios
import utils
class BasicClient(object):
def __init__(self, name, address, port):
self.name = name
self.address = address
self.port = int(port)
self.socket = socket.socket()
def conne... | null | projects/proj1_chat/client.py | client.py | py | 3,067 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "socket.socket",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "socket.error",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "utils.CLIENT_CANNOT_CONNECT.format",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "ut... |
164945470 | import os
import datetime
import pathlib
import codecs
totalSites = 0
totalBCC = 0
index = 1
dirPath = os.path.join("..","..","_data")
filename = os.listdir(dirPath)
def countFile(dir, filename):
path = os.path.join(dir, filename)
#print("Testing site: " + path)
if ".yml" in path:
file = codecs.... | null | scripts/python/bccAccepted.py | bccAccepted.py | py | 1,613 | python | en | code | null | code-starcoder2 | 76 | [
{
"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": 12,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number"... |
249135161 | import argparse
from tokenizer import Tokenizer
import sys
#Next few lines parse the command line arguments. Number of Jack files (1st Argumument) is essentially ignored, and the rest of the arguments are proccessed as files.
parser = argparse.ArgumentParser()
parser.add_argument('nFiles', type = int, help = 'Number ... | null | projects/11/mines/src/compiler.py | compiler.py | py | 23,442 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "tokenizer.Tokenizer",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 127,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"... |
51432155 | import matplotlib.pyplot as plt
import sqlite3
import numpy as np
import matplotlib.patches as mpatches
from graphs_common import RESTAURANTS_DB
from graphs_common import get_grade_color
'''
Supply a list of category aliases to fetch.
Returns a tuple of (A, B, C, Category_Names) lists.
'''
def _load_breakdown_data(ca... | null | graphs/category_barplot.py | category_barplot.py | py | 2,803 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sqlite3.connect",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "graphs_common.RESTAURANTS_DB",
"line_number": 14,
"usage_type": "argument"
},
{
"api_name": "numpy.arange",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "matplot... |
484058992 | #!/usr/bin/env python
from canari.maltego.utils import debug, progress
from canari.framework import configure
from common.entities import Hash
from canari.maltego.entities import Domain
from common.vt import bsearch
from canari.maltego.message import UIMessage
__author__ = 'Keith Gilbert - @digital4rensics'
__copyrig... | null | src/Malformity/transforms/vt_priv_domain2hash.py | vt_priv_domain2hash.py | py | 1,108 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "common.vt.bsearch",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "common.entities.Hash",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "canari.maltego.message.UIMessage",
"line_number": 40,
"usage_type": "call"
},
{
"api_name"... |
466016955 | import unittest
import os
from click.testing import CliRunner
from goji.client import JIRAClient
from goji.commands import cli
from goji.models import User, Issue, Transition, Issue
from tests.server import ServerTestCase
class TestClient(object):
base_url = 'https://goji.example.com/'
username = 'kyle'
... | null | tests/test_commands.py | test_commands.py | py | 9,617 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "goji.models.Transition",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "goji.models.Transition",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "goji.models.Transition",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "... |
379857614 | from django.shortcuts import render, render_to_response
from django.http import HttpResponse, HttpResponseRedirect
from django.template import RequestContext
from django.contrib.auth.decorators import login_required
from datetime import datetime
from .models import List, Link, UserExtra
from .forms import NewListForm, ... | null | BookMarks/views.py | views.py | py | 4,544 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.http.HttpResponse",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "models.List.objects.all",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "models.Li... |
603701469 | from __future__ import print_function
import numpy as np
from scipy.linalg import lu_factor, lu_solve
from openmdao.api import ImplicitComponent
class SolveMatrix(ImplicitComponent):
def initialize(self):
self.options.declare('surfaces', types=list)
def setup(self):
surfaces = self.options[... | null | openaerostruct/aerodynamics/solve_matrix.py | solve_matrix.py | py | 2,317 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "openmdao.api.ImplicitComponent",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "numpy.outer",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
... |
331099521 | import torch as t
import torch.nn.functional as F
import numpy as np
from functools import reduce
from copy import deepcopy
def get_output_shape(input_shape, module):
"""Takes an input_shape and a module, and returns the shape that
the module would return given a tensor of shape input_shape.
Assumes that ... | null | stn/models/model_classes.py | model_classes.py | py | 9,871 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.tensor",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.functional.interpolat... |
423413797 | # -*- coding: utf-8 -*-
"""
@author: alepouze
"""
# =============================================================================
# ### The dataset must begin at 00:00 ###
# =============================================================================
import pandas as pd
import numpy as np
from statistics import mean... | null | bin/DataFeaturesCluster.py | DataFeaturesCluster.py | py | 8,767 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.dirname",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"lin... |
597720671 | from flask import Blueprint, render_template, redirect, url_for, request, flash
import mysql.connector
from flask import jsonify, json, Response
users = Blueprint('assignment11', __name__,
static_folder='static',
static_url_path='/pages/assignment11/assignment11/users'... | null | pages/assignment11/users.py | users.py | py | 2,156 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Blueprint",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "mysql.connector.connector.connect",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "mysql.connector.connector",
"line_number": 13,
"usage_type": "attribute"
},
{
"a... |
478822362 | from django.conf import settings
from django.contrib.auth.models import AnonymousUser
from threading import local
from accounts.models import Org,OrgMembers
from sequences import get_range
from django.http.response import HttpResponse
from rest_framework.response import Response
from rest_framework import status
from k... | null | orgMiddleWare/middleware.py | middleware.py | py | 3,445 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.conf.settings",
"line_number": 12,
"usage_type": "argument"
},
{
"api_name": "django.conf.settings",
"line_number": 13,
"usage_type": "argument"
},
{
"api_name": "django.conf.settings",
"line_number": 14,
"usage_type": "argument"
},
{
"api_na... |
52019444 | from flight_scraper.solution_model import Solution, CalendarSolution, SeatQuery
from engines.ita_matrix.driver import ItaMatrixDriver, CalendarItaMatrixDriver
class FlightScraper(object):
def __init__(self, origin, destination, depart_date, return_date,
max_stops=0, day_range=None, airlines... | null | flight_scraper/scraper.py | scraper.py | py | 2,686 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "engines.ita_matrix.driver.ItaMatrixDriver",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "engines.ita_matrix.driver.CalendarItaMatrixDriver",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "flight_scraper.solution_model.CalendarSolution.object... |
413543513 | from __future__ import print_function
import sys
from flask import Flask, jsonify, request, render_template, redirect, url_for, flash
from flask_cors import CORS
from flask_bcrypt import Bcrypt
import flask_login as flask_login
from flask_login import login_required, current_user, LoginManager, login_user, logout_user,... | null | backend.py | backend.py | py | 11,680 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Flask",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask_sqlalchemy.SQLAlchemy",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "flask_bcrypt.... |
308697279 | __authors__ = 'Nourou-Dine Ahohoue et Deep Dhanak'
__date__ = "Vendredi, 24 Avril 2015"
"""Ce fichier permet d'initaliser le plateau de jeu ainsi que de débuter une partie d'Ultimate
Tic Tac Toe. Ce fichier initialise le plateau de jeu et nous donne des fonctions associées à des boutons et des
menus."""
from tkinter ... | null | interface/jeu_utictactoe.py | jeu_utictactoe.py | py | 48,468 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tkinter.Canvas",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "tkinter.Canvas",
"line_number": 52,
"usage_type": "name"
},
{
"api_name": "tkinter.Tk",
"line_number": 79,
"usage_type": "name"
},
{
"api_name": "tictactoe.partie.Partie",
... |
601291047 | #!/usr/bin/env python3
import subprocess
from argparse import ArgumentParser, RawDescriptionHelpFormatter
def main(args):
temp_file = 'temp.net'
subprocess.call('python3 randommodel.py ' + args.network + ' ' + temp_file, shell=True)
subprocess.call('python3 modeltocpp.py ' + temp_file + ' ' + args.output, s... | null | quicknet/createANN.py | createANN.py | py | 741 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "subprocess.call",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "subprocess.call",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "argparse.RawDe... |
329638400 | # -*- coding: utf-8 -*-
import pytest
from wemake_python_styleguide.visitors.wrong_keyword import (
BareRiseViolation,
WrongRaiseVisitor,
)
bare_raise_module = """
raise
"""
bare_raise_function = """
def function():
raise
"""
@pytest.mark.parametrize('code', [
bare_raise_module,
bare_raise_fun... | null | tests/test_visitors/test_wrong_keyword/test_bare_raise.py | test_bare_raise.py | py | 1,259 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "wemake_python_styleguide.visitors.wrong_keyword.WrongRaiseVisitor",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "wemake_python_styleguide.visitors.wrong_keyword.BareRiseViolation",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "pytest.mark.p... |
73047429 | import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(name='graphRL',
version='0.0.1',
author='Laura D\'Arcy',
author_email='luludarcy@gmail.com',
description='a directed acyclic graph environment for use with openAI gym',
long_description=long_description,
long_... | null | setup.py | setup.py | py | 677 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "setuptools.setup",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 14,
"usage_type": "call"
}
] |
510951583 | import json
import os
from django.conf import settings
from django.core.exceptions import ObjectDoesNotExist
from skilletlib import SkilletLoader
from cnc.models import RepositoryDetails
from cnc.models import Skillet
from pan_cnc.lib import cnc_utils
from pan_cnc.lib.exceptions import DuplicateSkilletException
def... | null | pan_cnc/lib/db_utils.py | db_utils.py | py | 9,864 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pan_cnc.lib.cnc_utils.get_app_config",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pan_cnc.lib.cnc_utils",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "cnc.models.RepositoryDetails.objects.get_or_create",
"line_number": 46,
"usage... |
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