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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
253221865 | # -*- encoding: utf-8 -*-
#########################################################################
# Copyright (C) 2016 Ing. Harry Alvarez, Elitum Group #
# #
# This program is free software: you can redistribute it and/or modify ... | null | elitum_compras/report_py3o/reportes.py | reportes.py | py | 7,647 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "odoo.models.TransientModel",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "odoo.models",
"line_number": 37,
"usage_type": "name"
},
{
"api_name": "odoo.fi... |
582700418 | import os
import cv2
import numpy
import os
def bitOperation(locations,img1):
img2 = cv2.imread(os.getcwd().replace('\\','/')+'/models/virus.png')
for x1,y1,x2,y2 in locations:
if x2-x1 > y2-y1:
#img2 = cv2.resize(img2, dsize=(x1-x2, x1-x2), interpolation=cv2.INTER_AREA)
img2 = cv2.resize(img2, ... | null | models/convention.py | convention.py | py | 993 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "cv2.imread",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.resize",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.INTER_AREA",
"line_number": 11,... |
225183819 | import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
##############################################################################
# reprojection loss
##############################################################################
def compute_reprojection_map(pred, target, ... | null | _Costfunc/base_confunc.py | base_confunc.py | py | 7,717 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torch.abs",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.nn.ReplicationPad2d",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 38,
"usage_type": "name"
},
{
"api_name": "torch.nn.ReplicationPad2... |
264903431 | import spacy
from nltk.corpus import stopwords
import openpyxl
import re
from nltk.corpus import stopwords
import spacy
from nltk import Tree
from nltk.stem.snowball import SnowballStemmer
import string
EXCEL_IN = 'sample.xlsx'
EXCEL_OUT = 'sample.xlsx'
common = ['scary', 'sleep', 'head', 'prolactin', 'night', 'echo... | null | make_roots/make_roots.py | make_roots.py | py | 4,843 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "re.sub",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "string.punctuation",
"line_number": 39,
"usage_type": "attribute"
},
{
"api_name": "re.split",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "re.split",
"line_number":... |
192104705 | import json
from django.contrib import messages
from django.contrib.auth.decorators import login_required
from django.core.paginator import Paginator
from django.http import HttpResponse, HttpResponseRedirect, JsonResponse
from django.shortcuts import redirect, render
from django.views import View
from .filters impor... | null | store/views.py | views.py | py | 5,025 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "models.Category.get_all_categories",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "models.Category",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "models.Product.get_products_by_Categoryid",
"line_number": 23,
"usage_type": "call"
... |
593219200 | #!/usr/bin/env python
#
# Copyright 2018 Amazon.com, Inc. or its affiliates. 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. A copy of the License is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in... | null | troposhpere/NFS_Server.py | NFS_Server.py | py | 22,807 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "troposphere.Template",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "troposphere.Ref",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "troposphere.Ref",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "troposphere.Ref"... |
56344679 | # coding:utf-8
import jieba.analyse
import numpy as np
# 打开词典文件，返回列表
def open_dict(Dict='name', path=r'data/Textming'):
path = path + '%s.txt' % Dict
dictionary = open(path, 'r', encoding='utf-8')
dict = []
for word in dictionary:
word = word.strip('\n')
dict.append(word)
... | null | NLP2.py | NLP2.py | py | 7,742 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "jieba.analyse.lcut",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "jieba.analyse",
"line_number": 49,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 142,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_n... |
235764502 | # Copyright 2015 Metaswitch Networks
#
# 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 in w... | null | calico_containers/tests/st/workload.py | workload.py | py | 5,061 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "netaddr.IPAddress",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "netaddr.IPAddress",
"line_number": 108,
"usage_type": "call"
},
{
"api_name": "functools.partial",
"line_number": 123,
"usage_type": "call"
},
{
"api_name": "utils.retry_u... |
109239901 | import pickle
import socket
from threading import Thread, Event
from data import Data
from user import User
from utils import recvcmd, log, BUFFSIZSE
DATAFILE = 'data.pkl'
class Server():
""" Instance Messanger server for managing all connections and data. """
def __init__(self, host, port):
super(Se... | null | server.py | server.py | py | 13,913 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "threading.Event",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "socket.socket",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "socket.SOCK_STREAM"... |
218613891 | # Nathan Welch
# Data Mining Hw 1
# 9/5/18
import random
import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
pd.set_option('display.expand_frame_repr', False)
pd.set_option('display.max_rows', 1400)
train_df = pd.read_csv('train.csv')
test_df = pd.read_csv('test.csv')
combine... | null | data_mining/hw1/hw1.py | hw1.py | py | 3,428 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.set_option",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pandas.set_option",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",... |
236971621 | #!/usr/bin/env python
# coding: utf-8
# In[ ]:
# данный скрипт:
## - высчитывает еженедельный чарт ВК/BOOM
## - должен запускаться один раз в неделю утром пятницы после Youtube_parsing и Spotify_parsing
## соединяет получающиеся чарты в единый html файл для публикации на сайте (включая "настоящие" еженедельные чарт... | null | Daily/Make_weekly_vk.py | Make_weekly_vk.py | py | 7,412 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.read_csv",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "Make_weekly_charts_functions.average",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "... |
443329758 | import os
import datetime
basedir = os.path.abspath(os.path.dirname(__file__))
class Config(object):
SECRET_KEY = os.environ.get('SECRET_KEY') or 'you-will-never-guess'
SQLALCHEMY_DATABASE_URI = 'mysql://estasney:password@localhost:3306/profiles2?charset=utf8mb4'
SQLALCHEMY_TRACK_MODIFICATIONS = True
... | null | mysite/site_config.py | site_config.py | py | 2,426 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.abspath",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_... |
563978506 | import requests
from multiprocessing.dummy import Pool
url = 'http://localhost:8080/girl'
def req_split(r):
#requests.head is much faster than requests.get if your intention is only to get the status code
req = requests.get(url)
if req.status_code == 200:
temp = r #return the url string if the serv... | null | multi-thread_request.py | multi-thread_request.py | py | 488 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "multiprocessing.dummy.Pool",
"line_number": 18,
"usage_type": "call"
}
] |
319389398 | import os
from gym import envs, logger
SKIP_MUJOCO_V3_WARNING_MESSAGE = (
"Cannot run mujoco test because mujoco-py is not installed"
)
skip_mujoco_v3 = False
try:
import mujoco_py
except ImportError:
skip_mujoco_v3 = True
def should_skip_env_spec_for_tests(spec):
# We skip tests for envs that requ... | null | tests/envs/spec_list.py | spec_list.py | py | 1,284 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "gym.logger.warn",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "gym.logger",
"line_number": 43,
"usage_type": "name"
},
{
"api_name": "gym.envs.registry.all",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "gym.envs.registry",
... |
157647876 | __author__ = 'kelly'
"""
General simple logging
"""
import datetime
class data_logging:
# First the properties
log_path = '/home/pi/scripts/shower/logs/'
log_filename = 'datalog.csv' # Default name
auto_add_date = False
def add_log(self, line):
"""
Add a single l... | null | logging.py | logging.py | py | 720 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "datetime.datetime.now",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 32,
"usage_type": "attribute"
}
] |
504832710 | from typing import List
class Solution:
def removeDuplicates(self, nums: List[int]) -> int:
"""
// Time Complexity : O(n)
// Space Complexity : O(1)
// Did this code successfully run on Leetcode : Yes
// Three line explanation of solution in plain english :
... | null | 26_remove_duplicates_from_sorted_array_I.py | 26_remove_duplicates_from_sorted_array_I.py | py | 1,961 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "typing.List",
"line_number": 5,
"usage_type": "name"
}
] |
456704299 | from django.shortcuts import render
# Create your views here.
def index(request):
return render(request,'newsapp/index.html')
def moviesinfo(request):
head_msg='Latest Movies Information'
msg1='Sara is slowly getting cute'
msg2='Love Aaj Kal coming on this 14th'
msg3='Kartik Aryan Fire the Bollywo... | null | akashnewsproject/newsapp/views.py | views.py | py | 1,216 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.shortcuts.render",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 21,
"usage_type": "call"
},
{
"api_name":... |
308327739 | from tensorflow import keras
from keras.datasets import mnist
from keras.layers import Dense, Flatten
import numpy as np
import matplotlib.pyplot as plt
import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
(x_train, y_train), (x_test, y_test) = mnist.load_data()
x_train = x_train / 255
x_test = x_test / 255
y_train_cat... | null | L12.py | L12.py | py | 1,059 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.environ",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "keras.datasets.mnist.load_data",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "keras.datasets.mnist",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "te... |
406412819 | import re
import sqlite3
import numpy as np
def isnumber(bw):
try:
bw = float(bw)
except ValueError:
bw = None
return bw
USER_RE = re.compile(r"^[a-zA-Z0-9_-]{3,20}$")
PASS_RE = re.compile(r"^.{3,20}$")
EMAIL_RE = re.compile(r"^[\S]+@[\S]+\.[\S]+$")
def valid_username(usern... | null | pbpk/util.py | util.py | py | 8,112 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "re.compile",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number":... |
435107302 |
import requests
import json
import uuid
import datetime
from requests_toolbelt.multipart import decoder
TERASTORE_URL = 'http://appstore:3000'
PROVIDER_DAT="eyJhbGciOiJSUzI1NiIsInR5cCI6IkpXVCJ9.eyJAY29udGV4dCI6Imh0dHBzOi8vamlyYS5pYWlzLmZyYXVuaG9mZXIuZGUvc3Rhc2gvcHJvamVjdHMvSUNUU0wvcmVwb3MvaWRzLWluZm9tb2RlbC1jb21tb25z... | null | consumer/notebooks/.ipynb_checkpoints/idsComm-checkpoint.py | idsComm-checkpoint.py | py | 11,331 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "json.load",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 35,
... |
137366768 | # ex:ts=4:sw=4:sts=4:et
# -*- tab-width: 4; c-basic-offset: 4; indent-tabs-mode: nil -*-
from __future__ import absolute_import
import re
import copy
import json
import time
import os
from svtplay_dl.service import Service
from svtplay_dl.fetcher.hds import hdsparse
from svtplay_dl.fetcher.hls import hlsparse
from svt... | null | lib/svtplay_dl/service/dplay.py | dplay.py | py | 7,503 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "svtplay_dl.service.Service",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "svtplay_dl.utils.urllib.urlparse",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": ... |
155771144 | """ tahua.reporting.views
This module defines the various view functions for the Tahua system's
"reporting" package.
"""
from django.http import HttpResponse, HttpResponseRedirect
from django.shortcuts import render_to_response
from django.template import RequestContext
from djang... | null | tahua/reporting/views.py | views.py | py | 4,001 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.http.HttpResponseRedirect",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "django.core.urlresolvers.reverse",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "tahua.reporting.base.report_helper.list_reports",
"line_number": 25,
"u... |
555589925 | # -*- coding: utf-8 -*-
# vim: sw=4:ts=4:expandtab
"""
riko.dates
~~~~~~~~~~~~~~
Provides date and time helpers
"""
from __future__ import (
absolute_import, division, print_function, unicode_literals)
from datetime import timedelta, time, datetime as dt
from time import gmtime
from calendar import timegm
from ope... | null | riko/dates.py | dates.py | py | 4,224 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "datetime.datetime.utcnow",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "datetime.timedelta",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "datetim... |
225336123 | import datetime
import re
from django.db.models import Q
from django.conf import settings
from ..models import Application, ApplicantName
from ..services.db_gateways import NannyGatewayActions, HMGatewayActions
class SearchService:
@staticmethod
def search(name: str, dob: str, home_postcode: str, care_locat... | null | arc_application/services/search_service.py | search_service.py | py | 15,319 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "services.db_gateways.NannyGatewayActions",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "django.conf.settings.ENABLE_HM",
"line_number": 91,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings",
"line_number": 91,
"usage_type": "nam... |
97737572 | import codecs
import pyexcel
from mytestwrapper import DEFAULT_CONFIG, MyBaseCase, MyTestCase
class TestStyle(MyBaseCase):
def test_book_renderring_style(self):
self.fake_uuid.side_effect = ["1", "2", "3", "4"]
styles = {"styled sheet": {"colWidths": [100, 100]}}
expected = 'var customSty... | null | tests/test_book.py | test_book.py | py | 1,780 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "mytestwrapper.MyBaseCase",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "pyexcel.Book",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pyexcel.Sheet",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pyexcel.Sheet",
... |
118563421 | import helpers
import random, pygame, time
class sub(helpers.subBase):
def OnStart(self):
self.Sound.SetBGM("died this way")
w, h = self.Game.window.get_size()
self.s_objective = tuple(helpers.Text.Create("MLG QUICKSCOPING LEAGUE", 60, i) for i in helpers.colors)
self.objW = self.s_objective[0].get_width... | null | quickscoper.py | quickscoper.py | py | 6,792 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "helpers.subBase",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "helpers.Text.Create",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "helpers.Text",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "helpers.color... |
519203140 | #!/usr/bin/env python
# ------------------------------------------------------------------------------------------------------%
# Created by "Thieu" at 15:37, 19/03/2021 %
# ... | null | mealpy/swarm_based/HGS.py | HGS.py | py | 6,955 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "mealpy.optimizer.Optimizer",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "numpy.random.uniform",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 55,
"usage_type": "attribute"
},
{
"api_name": "num... |
530624070 | #Circular Photometry
#Libraries
import numpy as np
from astropy.io import fits
from math import sin,cos,tan,atan2,sqrt,pi,radians as rad, degrees as deg, log10
#Inputs
im = "2002Q15.00000030.ENTERED COORDINATES.REDUCED.FIT" #input("Image file name:")
im = fits.getdata(im)
x = np.rint(499.0895265423242) #int(input("x:... | null | Circular Photometry/circularphotometryfunction.py | circularphotometryfunction.py | py | 5,580 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "astropy.io.fits.getdata",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "astropy.io.fits",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "numpy.rint",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.rint",
"... |
469428781 | #!/usr/bin/python3
"""
Fabric script (based on the file 2-do_deploy_web_static.py) that creates and
distributes an archive to your web servers, using the function deploy
"""
from fabric.api import local, env, run, put, hosts
from datetime import datetime
import os
env.hosts = ['34.74.23.57', '35.196.161.89']
def do_... | null | 3-deploy_web_static.py | 3-deploy_web_static.py | py | 2,087 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "fabric.api.env.hosts",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "fabric.api.env",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.now",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "dateti... |
329613047 | import argparse
import time
from skyengine.drone import DroneController
from skyengine.exceptions import FlightAbortedException
from skylog.logger import DirectLogger
from skylog.message import BaseMessage
from skymission.concurrency import tick
from skymission.mission import Mission
from skymission.mission import cal... | null | missions/traversal/mission.py | mission.py | py | 10,696 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "skylog.message.BaseMessage",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "skymission.mission.Mission",
"line_number": 56,
"usage_type": "name"
},
{
"api_name": "skyengine.drone.DroneController",
"line_number": 74,
"usage_type": "call"
},
{
... |
299638949 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Author : shenqiang
'''
注意：定义类的时候，内部方法之间的互调
步骤：
1.按照流的方式进行下载
2.存储在某个文件中
'''
import requests
import shutil
import time
class DownLoadFile():
def readyDatas(self):
'''
准备数据：固定参数
:param datas 接口参数
:param downLoadPath 下载文件地址
'''
... | null | tryApiTest/requestsPractice/requestsDownFiles.py | requestsDownFiles.py | py | 2,534 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "time.strftime",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "time.localtime",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "requests.Session",
"line_n... |
547451924 | import torch
import numpy as np
import scipy.fftpack
import matplotlib.pyplot as plt
# weight = torch.tensor([
# [1., 0.],
# [0.707, -0.707],
# [0., -1.],
# [-0.707, -0.707]
# ], requires_grad=True)
class FFTModel(torch.nn.Module):
def __init__(self, len):
super(FFTModel, self).__init__()... | null | ml_fft.py | ml_fft.py | py | 3,631 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torch.nn",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "numpy.log",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.cos",
"line_number":... |
620650705 | from __future__ import absolute_import
import glob
import logging
import multiprocessing
import os
from io import open
import numpy as np
import tensorflow as tf
import tensorflow.contrib.tensorrt as trt
import time
from threading import Semaphore
logger = logging.getLogger(__name__)
class DynamicMomentum(object):... | null | inference/inference/inference.py | inference.py | py | 11,866 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "threading.Semaphore",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "threading.Semaphore",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "tensorflow.... |
633022483 | """Download flags of countries (with error handling).
asyncio async/await version
"""
# BEGIN FLAGS2_ASYNCIO_TOP
import asyncio
import collections
import aiohttp
from aiohttp import web
import tqdm
from flags2_common import main, HTTPStatus, Result, save_flag
# default set low to avoid errors from remote site, suc... | null | flags/flags2_asyncio.py | flags2_asyncio.py | py | 3,045 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "aiohttp.web.HTTPNotFound",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "aiohttp.web",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "aiohttp.HttpProcessingError",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "aioh... |
383596940 | #"coding=utf-8"
import tornado.httpserver
import tornado.web
import tornado.ioloop
import tornado.options
import os.path
from tornado.options import define, options
from condb import *
define("port", default=9002, type=int)
class IndexHandler(tornado.web.RequestHandler):
def get(self,info):
#接受一个经纬度和高度，就近... | null | neural-server.py | neural-server.py | py | 1,518 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "tornado.options.define",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "tornado.httpserver.web",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "tornado.httpserver",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "... |
500259023 | from django.shortcuts import render
from .models import *
from rpc4django import rpcmethod
from hackers.zillow.zillow_post_api import Zillow
from informer.models import *
import json
# Create your views here.
@rpcmethod(name='post_man.add_to_postbox', signature=['str', 'dict', 'str'])
def add_to_postbox(target=None, ... | null | growthHack/growth_hack/post_man/views.py | views.py | py | 3,297 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "json.loads",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "rpc4django.rpcmethod",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "rpc4django.rpcmethod",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "json.loads",
... |
607343429 | from datetime import datetime, timezone
from flask import (
current_app,
url_for
)
def absolute_url_for(endpoint: str, **kwargs) -> str:
"""
Implements Flask `url_for`, but by default
creates absolute URL (`_external` and `_scheme`) with
`PREFERRED_URL_SCHEME` scheme.
- you can specify t... | null | src/blueprints/utils.py | utils.py | py | 1,093 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.current_app.config",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "flask.current_app",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "flask.url_for",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "datetim... |
588911663 | import math
from rest_framework import status
from rest_framework.decorators import api_view, permission_classes
from rest_framework.permissions import AllowAny
from rest_framework.response import Response
from app.devoff.serializers import EncryptSerializer
@api_view(["POST"])
@permission_classes([AllowAny])
def e... | null | django/project/app/devoff/views.py | views.py | py | 1,790 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "app.devoff.serializers.EncryptSerializer",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "rest_framework.response.Response",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "rest_framework.response.Response",
"line_number": 24,
"usage_ty... |
206284861 | import logging
from pathlib import Path
import click
import psutil
from petastorm import make_reader
from petastorm.pytorch import DataLoader
from pytorch_lightning import Trainer
from pytorch_lightning import loggers as pl_loggers
from ml.vae import VAE
from ml.ae import AE
from torch.utils.tensorboard import Summa... | null | train_vae.py | train_vae.py | py | 2,645 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "logging.StreamHandler",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "petastorm.make_r... |
466528243 | import sqlite3, os, logging
from rsquarelabs_core.config import RSQ_DB_LOG, RSQ_DB_PATH
"""
db_engine is a module built as database handler across the project.
db_engine uses sqlite as the database .
"""
logger = logging.getLogger(__name__)
logger.setLevel(logging.INFO)
# create a file handler
handler = logging.F... | null | rsquarelabs_core/engines/db_engine/__init__.py | __init__.py | py | 3,110 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "logging.FileHandler",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "rsquarelabs_c... |
576928960 | from __future__ import print_function
import boto3
import json
import decimal
import re
import traceback
import urllib
from boto3.dynamodb.conditions import Key, Attr
from cStringIO import StringIO
class DecimalEncoder(json.JSONEncoder):
def default(self, o):
if isinstance(o, decimal.Decimal):
... | null | lambdaS3DynamodbDifferentBucket.py | lambdaS3DynamodbDifferentBucket.py | py | 4,252 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "json.JSONEncoder",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "decimal.Decimal",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "boto3.resource",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "json.dumps"... |
368950997 | from scipy.stats import maxwell
import matplotlib.pyplot as plt
import numpy as np
# Chris Fenton
# CNC - AI
# Homework 3
# Question 1
def guessing(p=0.6, n=50):
guess = p * n
know = n - guess
n_correct = know + (guess * .5)
return n_correct / n
# 35 students (or 70%) would get the right answer
# General for... | null | ai/hw3/Hw3_w_chris_fenton.py | Hw3_w_chris_fenton.py | py | 2,780 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "scipy.stats.maxwell.stats",
"line_number": 23,
"usage_type": "call"
},
{
"api_name":... |
262877113 | from django.shortcuts import render
from ninja import Router
from commerce.models import Product
from commerce.models import Address
from commerce.models import Category
commerce_controller = Router()
@commerce_controller.get('get_products')
def get_products(request):
k=list(Product.objects.values())
f... | null | commerce/controllers.py | controllers.py | py | 983 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "ninja.Router",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "commerce.models.Product.objects.values",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "commerce.models.Product.objects",
"line_number": 13,
"usage_type": "attribute"
},
... |
370975335 | #!/usr/bin/env python
"""" ML mapping from external potential to charge density - AP275 Class Project, Harvard University
References:
[1] Brockherde et al. Bypassing the Kohn-Sham equations with machine learning. Nature Communications 8, 872 (2017)
Simon Batzner,
"""
from __future__ import absolute_import
from ... | null | main.py | main.py | py | 4,508 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "keras.models.Sequential",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "keras.layers.Dense",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "keras.layers.Dense",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "keras.l... |
376957822 | from .Video_to_Image_Split import extraction, rotate
from .face_recognition import choice, choice2
from .fetch import fetching
import shutil
import os
import cv2
from .attendance_camera import cam_attendance
# Find current face_train.py directory
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
# From base direc... | null | Smart_Attendance_System/face_recognition/Face_Recognition/start.py | start.py | py | 2,312 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.dirname",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line... |
7000090 | from os import system
import serial
import subprocess
from time import sleep
from ISStreamer.Streamer import Streamer
ser=serial.Serial(
'/dev/serial0',
115200,
bytesize=serial.EIGHTBITS,
parity=serial.PARITY_NONE,
stopbits=serial.STOPBITS_ONE,
timeout=1)
ser.write... | null | fonav4.py | fonav4.py | py | 410 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "serial.Serial",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "serial.EIGHTBITS",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "serial.PARITY_NONE",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "serial.STO... |
401708610 | # import model
import tensorflow as tf
from keras.optimizers import SGD, Adam
from keras.callbacks import EarlyStopping, ModelCheckpoint
from keras.preprocessing.image import ImageDataGenerator
from keras.layers import Dense,Dropout, Activation, Flatten,GlobalAveragePooling2D
from keras.layers import Conv2D,MaxPooling2... | null | newtrain.py | newtrain.py | py | 3,104 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "keras.applications.MobileNet",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "keras.applications.MobileNet.layers",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "keras.applications.MobileNet",
"line_number": 21,
"usage_type": "na... |
233974966 | #
# 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 in writing, software
# distributed under t... | null | ryu/consistency-update-with-openstate.py | consistency-update-with-openstate.py | py | 14,828 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "ryu.base.app_manager.RyuApp",
"line_number": 54,
"usage_type": "attribute"
},
{
"api_name": "ryu.base.app_manager",
"line_number": 54,
"usage_type": "name"
},
{
"api_name"... |
337661255 | import threading
import subprocess
import multiprocessing
import time
class Audio(object):
queue = []
playing = False
popen = None
def __init__(self, single_play):
self.playing = False
self.popen = None
self.single_play = single_play
def play(self, fname):
... | null | audio.py | audio.py | py | 1,121 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "subprocess.Popen",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Pool",
"line_number": 45,
"usage_type": "call"
}
] |
621604387 | import numpy as np
import dlib
import cv2
import logging
import time
import math
import argparse
from config import *
logging.basicConfig(level=logging.DEBUG,
format="%(levelname)s:%(lineno)d:%(message)s")
class Detector(object):
def __init__(self):
self.detector = cv2.CascadeClassifie... | null | FaceSwap/face_detect_and_track.py | face_detect_and_track.py | py | 6,818 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.basicConfig",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "cv2.CascadeClassifier",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.ndar... |
134999374 | from flask import Flask
from flask import jsonify
from pymongo import Connection, MongoClient
from pymongo.errors import ConnectionFailure
from bson import json_util
import os
app = Flask(__name__, static_url_path='/')
#DB MODELING
client = MongoClient('mongodb://user:user@ds045679.mongolab.com:45679/openhack')
DB... | null | pyapp.py | pyapp.py | py | 3,039 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pymongo.MongoClient",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 91,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numb... |
199152708 | import os
import time,random
import pytest
from Params import index as i
from Params.index import Comm
r = Comm()
from Params import params as p
class Test_jiou():
def setup_class(self):
"""登录后台"""
s = p.get_value('登录')
r.input_data('xpath',s['账号输入框'],'17611520838')
r.input_data('xpa... | null | PCHTUI/Test_case/SCGLHT.py | SCGLHT.py | py | 4,250 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "Params.index.Comm",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "Params.params.get_value",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "Params.params",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "Params.params.... |
75897974 | """ IMPORTS """
import pandas as pd
from sklearn.preprocessing import StandardScaler
from sklearn.neighbors import NearestNeighbors
def load_and_clean():
"""
spotify, identify = load_and_clean()
"""
spotify = pd.read_csv('https://raw.githubusercontent.com/Build-Week-Spotify/ds/master/data/tracks_over_40popul... | null | model.py | model.py | py | 3,785 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.read_csv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.StandardScaler",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "sklearn.neighbors.NearestNeighbors",
"line_number": 52,
"usage_type": "call"
},
... |
296753894 | #imports
import cv2
import numpy as np
import time
#initialize
net= cv2.dnn.readNet('yolov3.weights', 'yolov3.cfg')#models
classes = []
with open('coco.names', 'r') as f:#dataset
classes= f.read().splitlines()
#load
cap = cv2.VideoCapture(0);
#img = cv2.imread('image.jpg')
#initialize fps
starting... | null | SALCEDO_final_Project.py | SALCEDO_final_Project.py | py | 2,432 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "cv2.dnn.readNet",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.dnn",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_num... |
62363349 | # This code is part of Qiskit.
#
# (C) Copyright IBM 2018, 2019.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any modifications or derivat... | null | test/terra/backends/qasm_simulator/matrix_product_state_method.py | matrix_product_state_method.py | py | 3,797 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "test.terra.reference.ref_1q_clifford.h_gate_circuits_deterministic",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "test.terra.reference.ref_1q_clifford",
"line_number... |
104219798 | #!/usr/bin/python
import os
import sys
import pdb
from gensim import models
def extract_topic_statistics(corpus,transf,top_num,dir_tm_models,dir_output,n_w):
# Load tm_models
model = models.LdaModel.load(dir_tm_models, mmap='r')
if not os.path.exists(dir_output + '/' + corpus + '/'):
os.makedirs(dir_output ... | null | src/tms/extract_stats.py | extract_stats.py | py | 1,803 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "gensim.models.LdaModel.load",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "gensim.models.LdaModel",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "gensim.models",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": ... |
20159934 | # Unless explicitly stated otherwise all files in this repository are licensed under the Apache-2.0 License.
# This product includes software developed at Datadog (https://www.datadoghq.com/).
# Copyright 2019-Present Datadog, Inc.
from __future__ import annotations
from typing import Union, TYPE_CHECKING
from datado... | null | src/datadog_api_client/v1/model/formula_and_function_event_query_group_by.py | formula_and_function_event_query_group_by.py | py | 1,850 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "datadog_api_client.model_utils.ModelNormal",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "datadog_api_client.v1.model.formula_and_function_event_query_group_by_sort.Formul... |
22553605 | #Importing pyplot
from matplotlib import pyplot as plt
from Mysq import Mysq
from rsidao_mysql import rsidao_mysql
#Plotting to our canvas
#plt.plot([1,2,3],[4,5,1])
#Showing what we plotted
#plt.show()
datear = []
rsiar = []
datear1 = []
rsiar1 = []
mysq = Mysq()
rsidao = rsidao_mysql()
conn = mysq.getConnection(... | null | mychart.py | mychart.py | py | 778 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "Mysq.Mysq",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "rsidao_mysql.rsidao_mysql",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "matplotlib... |
90874960 | # This file contains the function to convert .csv to .json
import json
import time
def convert(inputfile, outputfile):
csv_input_file = open(inputfile, 'r', encoding='utf-8')
linecount = 0
headers = []
outputdict = {}
start = time.time()
for record in csv_input_file:
if linecount ==... | null | csv2json.py | csv2json.py | py | 836 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "time.time",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 30,
"usage_type": "call"
}
] |
469313307 | # %load q04_chi2_test/build.py
# Default imports
import scipy.stats as stats
import pandas as pd
df = pd.read_csv('data/house_pricing.csv')
# Enter Code Here
def chi_square(df):
x = df['SalePrice']
y = df['LandSlope']
price = pd.qcut(df['SalePrice'], 3, labels = ['High', 'Medium', 'Low'])
freqtab = ... | null | q04_chi2_test/build.py | build.py | py | 430 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.read_csv",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pandas.qcut",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pandas.crosstab",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "scipy.stats.chi2_contingen... |
511200862 | import cv2
# HW1 建環境，把結果截圖，並附上GitHub連結
def output_img(img, text):
cv2.namedWindow(text, cv2.WINDOW_NORMAL)
cv2.imshow(text, img)
cv2.imwrite('%s.png' % text, img)
path = "./road/road.jpg"
road = cv2.imread(path)
road_gray = cv2.cvtColor(road, cv2.COLOR_BGR2GRAY)
# output_img(road_gray, text='./road/gra... | null | HW1 Sobel/hw1.py | hw1.py | py | 514 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "cv2.namedWindow",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.WINDOW_NORMAL",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "cv2.imshow",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.imwrite",
"lin... |
493431163 | from flask import Flask, request, render_template, redirect
from threading import Thread
import time
import random
app = Flask(__name__)
spi = {"VACA": "cit1"}
@app.route('/')
def index():
global spi
page = render_template('main.html', a=spi)
return page
@app.route('/create', methods=['GET'])
def create_htm... | null | programm.py | programm.py | py | 572 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask.request.... |
194819300 | import argparse
import cv2
ap = argparse.ArgumentParser()
ap.add_argument("-s", "--source", required=True, help="Path to the source image")
ap.add_argument("-t", "--template", required=True, help="Path to the template image")
args = vars(ap.parse_args())
source = cv2.imread(args["source"])
template = cv2.imread(args[... | null | lessons/template_matching.py | template_matching.py | py | 806 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.matchTemplate",
"... |
348093247 | from django.conf.urls import *
from accounts.views import *
from django.contrib.auth.views import login, logout
urlpatterns = patterns('',
url(r'^profile/$', profile, name='accounts_profile'),
url(r'^register/$', register, name='accounts_register'),
)
urlpatterns += patterns('',
url(r'^login/$', login, kwargs={'... | null | accounts/urls.py | urls.py | py | 428 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.contrib.auth.views.login",
"line_number": 12,
"usage_type": "argument"
},
{
"api_name": "django.contrib.auth.views.logout",
"line_number": 13,
"usage_type": "argument"
}
] |
531237023 | # -*- coding utf-u -*-
"""
@author: Sam
"""
import os
import pandas as pd
from collections import defaultdict, Counter, OrderedDict
import re
import json
from subprocess import call
import zipfile as zf
from extract_all_tags import *
import pymongo
from xmljson import Yahoo
from pathlib import Path
from xml.etree ... | null | src/LNParser.py | LNParser.py | py | 2,752 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.expanduser",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "os.path.expanduser",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path",
"lin... |
513267198 | # -*- coding: utf-8 -*-
from account.accounts import Account
from account.decorators import login_exempt
from common.mymako import render_mako_context
def new_release_job(request):
print ('111111111111')
account = Account()
print(account)
print(request.method)
if request.method == 'POST':
... | null | ckops/views.py | views.py | py | 686 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "account.accounts",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "account.accounts.Account",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "account.accounts",
"line_number": 11,
"usage_type": "argument"
},
{
"api_name": "common... |
303031079 | from setuptools import setup, find_packages
from codecs import open
from os import path
here = path.abspath(path.dirname(__file__))
# Get the long description from the README file
with open(path.join(here, 'README.rst'), encoding='utf-8') as f:
long_description = f.read()
setup(
name='NoiseGen',
version... | null | setup.py | setup.py | py | 1,452 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.abspath",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "os.path.dirname",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "codecs.open",
"line_number":... |
441025664 | from django.shortcuts import render, HttpResponse, redirect
from django.contrib import messages
from .models import User
# Create your views here.
# should need
def index(request):
return render(request, "login/index.html")
def login(request):
if not request.method == "POST":
return redirect ("logi... | null | apps/login/views.py | views.py | py | 1,805 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.shortcuts.render",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.redirect",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "models.User.objects.login",
"line_number": 16,
"usage_type": "call"
},
{
"api_n... |
535084448 |
import argparse
import ast
parser = argparse.ArgumentParser(description='Parameters Configuration!')
parser.add_argument('--reg', '-r', help='正则化', type=ast.literal_eval, default=False)
parser.add_argument('--dropout', '-d', help='Dropout', type=ast.literal_eval, default=False)
args = parser.parse_args()
Reg = args.r... | null | Experiment/ARIMA-LSTM-Hybrid/test.py | test.py | py | 402 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "ast.literal_eval",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "ast.literal_eval",
"line_number": 7,
"usage_type": "attribute"
}
] |
403619770 | import os
import math
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib as mpl
import numpy as np
import argparse
import subprocess
import shlex
import seaborn as sns
from calendar import isleap
import string
import baltic as bt
parser = argparse.ArgumentParser()
parser.add_argument('--log', defau... | null | phylodynamic_analysis/scripts/combine_plot_traj.py | combine_plot_traj.py | py | 17,407 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "matplotlib.rcParams",
"line_number": 52,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.rcParams",
"line_number": 53,
"usage_type": "attribute"
},
{
"api_nam... |
416527951 | import re
import operator
from itertools import zip_longest
from pathlib import Path
from urllib import request
from lxml import html
from io import BytesIO
from sys import version_info
def _compare_version_parts(op, p1, p2):
matches = [re.match(r'(\d*)(.*)', p) for p in [p1, p2]]
if not all(match... | null | Project_Kivy/venv/Lib/site-packages/gohlkegrabber/gohlkegrabber.py | gohlkegrabber.py | py | 7,905 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "re.match",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "re.match",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "operator.eq",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "operator.gt",
"line_number": 3... |
647036788 | import tkinter as tk
import requests
from bs4 import BeautifulSoup
import time
def get_url():
url = 'https://rate.bot.com.tw/xrt?Lang=zh-TW'
headers = {'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/75.0.3770.100 Safari/537.36'}
r = requests.get... | null | main.py | main.py | py | 6,124 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "tkinter.Tk",
"line_number": 87,
"usage_type": "call"
},
{
"api_name": "tkinter.Canvas",
"line_n... |
53793346 | import os
import mne
import numpy as np
import pandas as pd
from matplotlib import pyplot as plt
from matplotlib import pylab
from scipy.signal import butter, filtfilt, freqz
from scipy.signal import find_peaks
import logging
logging.getLogger().setLevel(logging.INFO)
mne.set_log_level('ERROR')
CONFIG = os.path.joi... | null | utils/preprocessing.py | preprocessing.py | py | 11,192 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "mne.set_log_level",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path.join",
... |
350489643 | from pyglet.gl import *
from pyglet.window import key
from pyglet.window import FPSDisplay
import math
from CarSprite import *
WINDOWWIDTH=1280
WINDOWHEIGHT=720
class MyWindow(pyglet.window.Window):
def __init__(self, *args, **kwargs):
super(MyWindow,self).__init__(*args, **kwargs)
#this clear thin... | null | mainWindow.py | mainWindow.py | py | 3,476 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pyglet.gl.window",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pyglet.gl",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "pyglet.window.FPSDisplay",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pyglet.window.... |
548374884 | # -*- coding: utf-8 -*-
import json
import time
from openpyxl.styles import Font, Side, Border, Alignment
from HousePrice.items import ErShouFangVillageItem, ErShouFangCityItem, ErShouFangSourceItem, RentingHouseSourceItem, NewHouseItem
from openpyxl import Workbook
# 设定excel的样式
font = Font(name='宋体', size=11, bold=F... | null | HousePrice/pipelines.py | pipelines.py | py | 10,289 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "openpyxl.styles.Font",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "openpyxl.styles.Side",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "openpyxl.styles.Border",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "open... |
119875626 | from selenium.webdriver import Chrome
import pytest
from selenium.webdriver.chrome.options import Options
from Base_methods.Export_methods import *
from Base_methods.Mydocs_methods import *
from Base_methods.Home_methods import *
# @pytest.fixture(scope = 'session') - запуск тестов в одной сессии
@pytest.fixture()
d... | null | indian_pytest/Execute/Smoke_fast_Chrome.py | Smoke_fast_Chrome.py | py | 1,042 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "selenium.webdriver.chrome.options.Options",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 11,
"usage_type": "call"
},
{
... |
614697339 | # uncompyle6 version 3.6.7
# Python bytecode 3.4 (3310)
# Decompiled from: Python 3.8.2 (tags/v3.8.2:7b3ab59, Feb 25 2020, 23:03:10) [MSC v.1916 64 bit (AMD64)]
# Embedded file name: build/bdist.macosx-10.10-x86_64/egg/boto/services/sonofmmm.py
# Compiled at: 2015-11-24 05:02:18
# Size of source mod 2**32: 3498 bytes
i... | null | pycfiles/boto_rsync-0.8.1.tar/sonofmmm.cpython-34.py | sonofmmm.cpython-34.py | py | 2,555 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "boto.services.service.Service",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "boto.set_file... |
550569585 | #!/usr/bin/env python3
import collections
import re
import sys
import pandas as pd
import progressbar
import spacy
from nltk.metrics import BigramAssocMeasures
from nltk.probability import ConditionalFreqDist, FreqDist
from data import prepare_csv
nlp = spacy.load("en_core_web_sm")
def read_corpus(corpus_file, tit... | null | preprocessing_data.py | preprocessing_data.py | py | 5,493 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "spacy.load",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "data.prepare_csv",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "data.groupby",
"line_... |
166034041 | #!/usr/bin/env python3
"""
Can use as cmd line lisky, api calls or db calls
They will both be classes and will take a node address
or the directory where lisk is installed
"""
import re
import sys
import argparse
import json
import yaml
from . import lskutils
from . import helpers
def main(args, parser):
"""
... | null | pylisk/__main__.py | __main__.py | py | 12,109 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.exit",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 159,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 220,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 225,
"... |
233887935 | """
This is a Mutual Information and Entropy estimator, implemented by Hilla Schefler and Maya Avidor,
as part of Industrial Project course 234313, CS department, Technion.
Implementation is based on 2 papers:
(1) Efficient Estimation of Mutual Information for Strongly Dependent Variables- https://arxiv.org/pdf/1411.20... | null | art/metrics/privacy/MIestimator.py | MIestimator.py | py | 18,650 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sklearn.neighbors.DistanceMetric.get_metric",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "sklearn.neighbors.DistanceMetric",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "sklearn.neighbors",
"line_number": 41,
"usage_type": "n... |
122847269 | # -*- coding: utf-8 -*-
# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: http://doc.scrapy.org/en/latest/topics/item-pipeline.html
# Support unicode in python 3
try:
unicode
except NameError:
unicode = str
import six
from scrapy.utils.python impor... | null | src/CanadianTire/pipelines.py | pipelines.py | py | 3,181 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "MySQLdb.escape_string",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "scrapy.exporters.BaseItemExporter",
"line_number": 37,
"usage_type": "name"
},
{
"api_name": "Ca... |
346471282 | import os
import gdown
path = './weights'
if not os.path.exists(path):
os.makedirs(path)
if not os.path.exists(os.path.join(path, 'detecion')):
os.makedirs(os.path.join(path, 'detecion'))
if not os.path.exists(os.path.join(path, 'recognition')):
os.makedirs(os.path.join(path, 'recognition'))
mobilenet0... | null | download_weights.py | download_weights.py | py | 1,070 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.exists",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_numbe... |
135038363 | import dynet_config
import sys, os
import _dynet as dy
dyparams = dy.DynetParams()
dyparams.set_mem(40000)
dyparams.set_autobatch(True)
dyparams.init()
import numpy as np
import pandas as pd
import sys
import itertools
import string
from collections import Counter
from nltk.corpus import wordnet as wn
from collections ... | null | assignment2-three-eyed-crow/word2vec.py | word2vec.py | py | 14,899 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "_dynet.DynetParams",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "nltk.stem.PorterStemmer",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "nltk.download",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "nltk.download... |
515529712 | import random
import matplotlib.pyplot as plt
import math
def f(x):
return -(x**2.-4.*x+3.)/256
x = []
y = []
for i in range(-256 * 100, 256 * 100):
x.append(i / 100.0)
y.append(f(i / 100.0))
plt.plot(x, y)
plt.show()
x = []
y = []
for i in range(0, 256 * 100):
x.append(i / 100.0)
y.append(f(... | null | lab5/.ipynb_checkpoints/lab5-checkpoint.py | lab5-checkpoint.py | py | 3,248 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.show",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "matpl... |
521004672 | import matplotlib.pyplot as plt
import scipy.ndimage as ndi
import numpy as np
import scipy.misc
import imutils
import time
import sys
import os
W = 250
H = 250
n_gen = 5
state = np.zeros((W, H))
ind2sub = imutils.ind2sub(state.shape)
minima = 0
maxima = 1
k = [[1,1,1],[1,0,1],[1,1,1]]
# Add Noise to seed the algor... | null | 2020/Generative/mazy.py | mazy.py | py | 763 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.zeros",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "imutils.ind2sub",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.random.random_integers",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.random... |
613290472 |
import skimage.transform
import shapely.wkt
#import tables as tb
import tqdm
import pandas as pd
import numpy as np
from matplotlib import pyplot as plt
import gdal
from os import listdir
from os.path import isfile, join
import scipy
FN_MASK_CSV = "/data/train/AOI_2_Vegas_Train/summaryData/AOI_2_Vegas_Train_Buildin... | null | im_pre_1.py | im_pre_1.py | py | 3,690 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "scipy.percentile",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "scipy.percentile",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.clip",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_... |
79880137 | from datetime import datetime
from flask import render_template, request, redirect, flash, Blueprint, url_for
from flask_login import current_user, login_required
import json
import app.model.weight as _weight
from app.pkg.config import Config
from app.pkg.db import get_db
weight_bp = Blueprint("weight_bp", __name__... | null | app/controller/weight.py | weight.py | py | 1,542 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Blueprint",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "app.pkg.config.Config",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "datetime.... |
241684145 | from typing import *
from tqdm import tqdm
from datetime import datetime
from collections import defaultdict
from nltk.tokenize import sent_tokenize
from compling.lexicalAnalysis.tokenization import tokenization_abc
from collections.abc import Iterable as abciterable
from compling.lexicalAnalysis.tokenization.im... | null | venv/lib/python3.9/site-packages/compling/lexicalAnalysis/tokenization/impl/tokenizer.py | tokenizer.py | py | 10,418 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "compling.lexicalAnalysis.tokenization.tokenization_abc.Tokenization",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "compling.lexicalAnalysis.tokenization.tokenization_abc",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "collections.abc.I... |
61703671 | import pytest
from django.core.urlresolvers import reverse
from rest_framework_json_api.pagination import PageNumberPagination
from example.tests.utils import load_json
from example.views import EntryViewSet
try:
from unittest import mock
except ImportError:
import mock
pytestmark = pytest.mark.django_db
... | null | example/tests/integration/test_non_paginated_responses.py | test_non_paginated_responses.py | py | 3,807 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pytest.mark",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "rest_framework_json_api.pagination.PageNumberPagination",
"line_number": 105,
"usage_type": "name"
},
{
"api_name": "example.views.EntryViewSet",
"line_number": 108,
"usage_type": ... |
6304928 | #!/usr/bin/env python
"""Plot results read from a result set
"""
from __future__ import division
import os
import argparse
import logging
import matplotlib.pyplot as plt
from icarus.util import Settings, config_logging
from icarus.results import plot_lines, plot_bar_chart
from icarus.registry import RESULTS_READER
... | null | ds2os-topology-prob/plotresults.py | plotresults.py | py | 5,717 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "m... |
191161551 | """
This spider is a AmeInfo spider created on top of the ATSSpider
scrapy crawl ameinfo -a mining_job_id=9999 -a iteration=1 -a extract=1 -a url="http://jobs.ameinfo.com/en/international/job-search/"
sample url:
http://jobs.ameinfo.com/en/international/job-search/
"""
from re import compile
from scrapy.http import R... | null | brightcorp/brightcorp/spiders/ameinfo.py | ameinfo.py | py | 3,779 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "brightcorp.base.atsspiders.ATSSpider",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "re.compile",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "urlparse.u... |
403471771 | # ====================================================
# @Author : Xiao Junbin
# @Email : junbin@comp.nus.edu.sg
# @File : detection.py
# ====================================================
from detect_frame import *
import dataloader
from tools.util import set_gpu_devices
BATCH_SIZE = 1
num_workers = 1
dataset... | null | detection.py | detection.py | py | 1,192 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "dataloader.DetectFrameLoader",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "tools.util.set_gpu_devices",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "detect_frame.run",
"line_number": 38,
"usage_type": "call"
}
] |
322280870 | import urllib3
import json
LOCAL_FILE_SYS = []
#S3_BUCKET = "your-s3-bucket" # please replace with your bucket name
CHUNK_SIZE = 10000 # determined based on API, memory constraints, experimentation
def get_num_records():
# Dummy function, to replicate GET http://jsonplaceholder.typicode.com/number_of_users cal... | null | apiDataPullLocal.py | apiDataPullLocal.py | py | 1,842 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "urllib3.PoolManager",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "urllib3.util.Retry",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "urllib3.util",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "json.loads",... |
127881220 | from flask import Flask, request
from storage import influx, elasticsearch
import zlib, json, settings, time
app = Flask(__name__)
def tags_format(tags):
new_tags = {}
if tags:
for tag in tags:
k, v = tag.split(":", 1)
new_tags[k] = v.strip()
return new_tags
@app.route('... | null | app.py | app.py | py | 4,066 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "zlib.decompress",
... |
25412683 | import joblib
import json
import numpy as np
import os
#from inference_schema.schema_decorators import input_schema, output_schema
#from inference_schema.parameter_types.numpy_parameter_type import NumpyParameterType
def init():
global model
# AZUREML_MODEL_DIR is an environment variable created during deploy... | null | score.py | score.py | py | 1,160 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.join",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.getenv",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "joblib.load",
"line_number": ... |
272126358 | from django.contrib import admin
from .models import News, EmailSubscription
from tinymce.widgets import TinyMCE
from django.db import models
class NewsAdmin(admin.ModelAdmin):
fieldsets = [
("Slug" , {'fields':['slug']}),
('Headline',{'fields': ['headline']}),
('News Content',{'fields': ['... | null | backend/news/admin.py | admin.py | py | 811 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.db.models.TextField",
"line_number": 19,
"usage_type": "attribute"
},
... |
249530089 | """Groups commands and event listeners in the bot together using cogs."""
from discord.ext import commands
bot = commands.Bot(command_prefix=commands.when_mentioned_or("!"))
class Happy(commands.Cog, name="happy_mood"):
"""A cog that is called 'happy_mood'."""
def __init__(self, bot):
"""Initializes ... | null | cogs.py | cogs.py | py | 1,233 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "discord.ext.commands.Bot",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "discord.ext.commands",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "discord.ext.commands.when_mentioned_or",
"line_number": 5,
"usage_type": "call"
},
{
... |
179862142 | #-*- coding:utf-8 -*-
import json
import random
import urllib
import json
from handhelper.jdhclogin import nloginpwd
from httphelper import jdhcformData
from httphelper import jdhcheaders
from httphelper.jdhcDownload import beforeHtml
from filehelper import filepath
from filehelper import codesapi
result = None
class... | null | vspjd/handhelper/jdhclogin/login.py | login.py | py | 2,831 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "httphelper.jdhcDownload.beforeHtml.beforeHtml.session.get",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "httphelper.jdhcDownload.beforeHtml.beforeHtml",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "httphelper.jdhcDownload.beforeHtml",... |
32501484 | import keras
from keras import backend as k
from keras.models import load_model
from keras.models import Sequential
from keras.layers import Dense, Dropout, Flatten, Permute
from keras.layers import Conv2D, MaxPooling2D
class DqnNetwork:
"""
Creates a dqn_network instance.
Parameters are:
state_shape:... | null | dqn_network.py | dqn_network.py | py | 2,812 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "keras.models.Sequential",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "keras.layers.Conv2D",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "keras.layers.Conv2D",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "keras... |
138978276 | # Copyright (C) 2009 - Kyle Florence
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2, or (at your option)
# any later version.
#
# This program is distributed in the hope tha... | null | CPTI2F.py | CPTI2F.py | py | 13,407 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "gi.repository.GObject.Object",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "gi.repository.GObject",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "gi.repository.Peas.Activatable",
"line_number": 32,
"usage_type": "attribute"
}... |
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