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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
286015694 | import json
import re
from rest_framework import serializers
from .models import TestsuitsModel
from projects.models import ProjectsModel
from interfaces.models import InterfacesModel
# 项目模型序列化器类
class TestsuitsModelSerializer(serializers.ModelSerializer):
# 外键字段[必须加 因为原本定义的外键字段interface 因为要返回父表信息被占用后 未进行反序列化校验]... | null | apps/testsuites/serializers.py | serializers.py | py | 2,217 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "rest_framework.serializers.PrimaryKeyRelatedField",
"line_number":... |
100143103 | import urllib, urllib3, sys
import certifi
import pandas as pd
import re
import time
# change the path to your ducument
read_camping_site = pd.read_csv("E:\\Study\\20 semester 1\\Project\\Javascript_visulization\\datasets\\recweb_site.csv")
all_lat = read_camping_site["LATITUDE"]
all_lng = read_camping_site["L... | null | userstory1_fire&site_map/python_script/aquire_air_quality.py | aquire_air_quality.py | py | 1,498 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.read_csv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "urllib3.PoolManager",
"line_nu... |
513375214 | from django.shortcuts import render, redirect
from django.http import JsonResponse
from django.utils.translation import gettext as _
from django.core.exceptions import ObjectDoesNotExist
#from django.utils.datastructures import MultiValueDictKeyError
from .models import Sales
from users.models import Users
... | null | sales/search_views.py | search_views.py | py | 2,469 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "models.Sales.objects.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "models.Sales.objects",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "models.Sales",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "djang... |
318784193 | """common code for all experiments
"""
from __future__ import print_function
from tensorflow.python.client import device_lib
print(device_lib.list_local_devices())
import numpy as np
np.random.seed(1337)
import keras
import medleydb as mdb
import os
import core
import evaluate
SAMPLES_PER_EPOCH = 256
NB_EPOCHS = 10... | null | deepsalience/experiment.py | experiment.py | py | 2,763 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "tensorflow.python.client.device_lib.list_local_devices",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "tensorflow.python.client.device_lib",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "numpy.random.seed",
"line_number": 9,
"usage_typ... |
645123276 | """
tests.ext.commands.test_init
~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Tests Init command.
:copyright: (c) 2015 by the Holocron Team, see AUTHORS for details.
:license: 3-clause BSD, see LICENSE for details.
"""
import os
import mock
from holocron.app import Holocron
from holocron.ext.commands import in... | null | tests/ext/commands/test_init.py | test_init.py | py | 1,213 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "tests.HolocronTestCase",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "holocron.ext.commands.init.Init",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "holocron.ext.commands.init",
"line_number": 27,
"usage_type": "name"
},
{
... |
420735940 | import os
import sys
import pygame
from pygame.locals import *
from config.settings import *
from src.plane import Plane
from src.enemy import Enemy
from src.bullet import Bullet
# background music, image
bg_size = 480, 852
screen = pygame.display.set_mode(bg_size)
pygame.display.set_caption('飞机大战')
background = pyga... | null | game/PlayPlane/bin/main.py | main.py | py | 4,811 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pygame.display.set_mode",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "pygame.display.set_caption",
"line_number": 14,
"usage_type": "call"
},
{
"api_name":... |
225604269 | import requests
import xml.etree.ElementTree as etree
import datetime
FUNCTION_GET_EVENTS = 'calevents_list'
FUNCTION_GET_DETAILED_EVENT = 'calevents_details'
FUNCTION_GET_ALL_CHARACTERS = 'points'
def build_request(base, function, api_token, *opts):
request = base + '?function=' + function
for opt in opts:
... | null | inscriptions.py | inscriptions.py | py | 4,670 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree.fromstring",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "d... |
183640174 |
## 1. Data Exporaion
## Import library and data
import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
ad = pd.read_csv("train.csv", parse_dates=['click_time'])
## Create functions
def barplot(x, y, data):
plt.figure(figsize=(15,15))
plt.subplot(3,1,1)
plt.title('c... | null | 01_Data_Exporation.py | 01_Data_Exporation.py | py | 2,575 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.read_csv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "matplotlib.... |
622024731 | from flask import Blueprint
from flask_restx import Resource, reqparse
from project import db
from project.api import api
from project.calendars import Calendars
from project.models.appointment import Appointment
from project.models.event import Event
from project.models.user import User
from project.services.google_ca... | null | server/project/api/calendar_handler.py | calendar_handler.py | py | 2,507 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Blueprint",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "datetime.strptime",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "project.db.session.query",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "project.mo... |
531616815 | import boto3
import hashlib
import os
class CheckIncompleteUpload:
def __init__(self, bucket, prefix):
self.bucket = bucket
self.prefix = prefix
session = boto3.Session()
self.client = session.client(service_name='s3')
self.incomplete_mpu = []
self.mpu_to_abort = {}... | null | finish_mpu.py | finish_mpu.py | py | 4,976 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "boto3.Session",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_name": "os.path.isfile",
"line_nu... |
588005627 | import decimal
import os
import responses
from monero.const import NET_STAGE
from monero.daemon import Daemon
from monero.backends.jsonrpc import JSONRPCDaemon
from monero.transaction import Transaction
from .base import JSONTestCase
class JSONRPCDaemonTestCase(JSONTestCase):
jsonrpc_url = 'http://127.0.0.1:1808... | null | tests/test_jsonrpcdaemon.py | test_jsonrpcdaemon.py | py | 5,604 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "base.JSONTestCase",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "monero.daemon.Daemon",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "monero.backends.jsonrpc.JSONRPCDaemon",
"line_number": 20,
"usage_type": "call"
},
{
"api_... |
42596394 | import base64, time, datetime
from django.shortcuts import render
from first.models import Resume_class, SessionClass, BlogPostClass
from django.shortcuts import redirect
def home(request):
blogpost_obj = BlogPostClass.objects.all()
blog_list = []
count =0
for obj in blogpost_obj:
if count =... | null | first/views.py | views.py | py | 7,671 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "first.models.BlogPostClass.objects.all",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "first.models.BlogPostClass.objects",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "first.models.BlogPostClass",
"line_number": 8,
"usage_type":... |
618710815 | # -*- coding: utf-8 -*-
'''Test of Folium basic markers'''
import folium
#Simple Markers with Stamen Terrain
map_1 = folium.Map(location=[45.372, -121.6972], zoom_start=12,
tiles='Stamen Terrain')
map_1.simple_marker([45.3288, -121.6625], popup='Mt. Hood Meadows')
map_1.simple_marker([45.3311, -121... | null | examples/markers.py | markers.py | py | 1,985 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "folium.Map",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "folium.Map",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "folium.Map",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "folium.Map",
"line_number": 29,
... |
277656769 | import pygame
import math
import random
import sys
# Save the Babies
# +
# Defeat the Bosses
pygame.init()
def debug(do=True):
#print(game.frames)
#print(Spawner.time)
#print(game.bossfight)
#print(str(game.lost) + ' ' + str(game.running))
pass
def roundto(x, base):
return base*round(float(x)/base... | null | SaveTheBabies/savethebabies.py | savethebabies.py | py | 17,310 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pygame.init",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pygame.transform.scale",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "pygame.transform",
"line_number": 60,
"usage_type": "attribute"
},
{
"api_name": "pygame.image... |
326859598 | #!/usr/bin/python3
"""View for the link between Place objects and Amenity objects"""
from api.v1.views import app_views
from flask import jsonify, abort, make_response, request
from models import storage
from models.place import Place
from models.amenity import Amenity
from models import *
@app_views.route('/places/<... | null | api/v1/views/places_amenities.py | places_amenities.py | py | 2,710 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "models.storage.get",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "models.place.Place",
"line_number": 16,
"usage_type": "argument"
},
{
"api_name": "models.storage",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "flask.abort"... |
391806737 | #!/usr/bin/env python
# coding: utf-8
# # Tomas Costantino - A00042881
#
# # Analysis on e-commerce logistics with EDA and SVM to predict target variable
#
# dataset extracted from: https://www.kaggle.com/prachi13/customer-analytics
# In[1]:
import pandas as pd
# In[2]:
#Read dataset
df = pd.read_csv('Train.c... | null | IDS201_Assessment3.py | IDS201_Assessment3.py | py | 8,027 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.read_csv",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "warnings.filterwarnings",
"line_number": 81,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.pie",
"line_number": 93,
"usage_type": "call"
},
{
"api_name": "matplot... |
411340710 | from django.conf.urls import url
from .views import IndexView, PreviewView, ShowView
app_name = 'posts'
urlpatterns = [
url(r'^$', IndexView.as_view(), name='index'),
url(r'^preview/(?P<slug>[\w-]+)/$', PreviewView.as_view(), name='preview'),
url(r'^(?P<slug>[\w-]+)/$', ShowView.as_view(), name='show')... | null | src/posts/urls.py | urls.py | py | 324 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.conf.urls.url",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "views.IndexView.as_view",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "views.IndexView",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.c... |
407492929 | # Transmitint bitplanes.
import sounddevice as sd
import numpy as np
import struct
from intercom import Intercom
from intercom_buffer import Intercom_buffer
if __debug__:
import sys
class Intercom_bitplanes(Intercom_buffer):
def init(self, args):
Intercom_buffer.init(self, args)
self.packet_... | null | development/COPIES/intercom_bitplanes.py | intercom_bitplanes.py | py | 1,720 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "intercom_buffer.Intercom_buffer",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "intercom_buffer.Intercom_buffer.init",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "intercom_buffer.Intercom_buffer",
"line_number": 15,
"usage_type": "... |
339656652 | from __future__ import unicode_literals
from django.shortcuts import render, HttpResponse, redirect
from datetime import datetime
from products import items
def index(request):
if "last_transaction" in request.session.keys():
del request.session['last_transaction']
context = {
"items": items
}
return render... | null | j_chris_miller_python/Django/main/apps/amadon/views.py | views.py | py | 1,116 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "products.items",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "django.shortcuts.render",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "products.items",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "django.shortcut... |
226538049 | # -*- coding: utf-8 -*-
import nltk
import re
import codecs
from pythainlp.tokenize import word_tokenize
from time import sleep
tknzr = nltk.tokenize.TweetTokenizer()
word_features = []
def get_words_in_reviews(all_reviews):
all_words = []
for (words, sentiment) in all_reviews:
all_words.extend(words)
return al... | null | sentiment.py | sentiment.py | py | 4,852 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "nltk.tokenize.TweetTokenizer",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "nltk.tokenize",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "nltk.FreqDist",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "codecs.op... |
219020483 | import requests
import json
import time
import text_processing as tp
import making_ImageFeedback as mif
def search_dict(partial, key):
"""
A handy function that searches for a specific `key` in a partial dictionary/list
"""
if isinstance(partial, dict):
for k, v in partial.items():
... | null | getting_feedback_as_image_from_youtube_comments/main.py | main.py | py | 4,639 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.Session",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 74,
"usage_type": "call"
},
{
"api_name": "text_processing.processedText"... |
561534073 | import argparse
import re
import sys
import xlrd
from datetime import datetime
from pathlib import Path
from pymarc import Record, Field
def parse_title(string):
title = []
if ':' in string:
t = re.sub(r'^(.*?): (.*?), (.*)$', r'\g<1>', string)
b = re.sub(r'^(.*?): (.*?), (.*)$', r'\g<2>', str... | null | comics2marc.py | comics2marc.py | py | 21,576 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "re.sub",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 20,
"usage_type"... |
10061454 | # https://www.practicepython.org/exercise/2014/06/06/17-decode-a-web-page.html
import requests
from bs4 import BeautifulSoup
ny_times_url = 'https://www.nytimes.com/'
r = requests.get(ny_times_url)
soup = BeautifulSoup(r.text, features='html.parser')
for story_heading in soup.find_all(class_ = 'css-1ez5fsm'):
try... | null | Decode_A_Web_Page.py | Decode_A_Web_Page.py | py | 422 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 7,
"usage_type": "call"
}
] |
181181792 | import time
import pandas as pd
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from bs4 import BeautifulSoup
driver = webdriver.Chrome('./chromedriver')
driver.maximize_window()
driver.get("http://www.opinet.co.kr/user/main/mainView.do")
time.sleep(2)
driver.find_element_by_css_selecto... | null | 05.Crawling/opinet.py | opinet.py | py | 1,144 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "time.sleep",
... |
649977134 |
from __future__ import (absolute_import, division, print_function)
from pyPRMS.Exceptions_custom import ParameterError
from pyPRMS.ParameterSet import ParameterSet
from pyPRMS.constants import DIMENSIONS_HDR, PARAMETERS_HDR, VAR_DELIM
import functools
class ParameterFile(ParameterSet):
"""Class to handle read... | null | pyPRMS/ParameterFile.py | ParameterFile.py | py | 7,372 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pyPRMS.ParameterSet.ParameterSet",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "pyPRMS.constants.DIMENSIONS_HDR",
"line_number": 93,
"usage_type": "name"
},
{
"api_name": "pyPRMS.constants.PARAMETERS_HDR",
"line_number": 104,
"usage_type": "nam... |
551616439 | import zipfile
import os
#Klasorlerin pathlerini cikaran fonksiyon
def dirpaths(way):
dirpaths=[]
for(dirpath,dirnames,filenames) in os.walk(way):
dirpaths.append(dirpath)
return dirpaths
#Klasorlerdeki dosyalari kopyalayan fonksiyon
def extractor(patharr):
for y,x in enumerate(patharr):
... | null | ExtractorCli.py | ExtractorCli.py | py | 933 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.walk",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "zipfile.ZipFile",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path.expanduser",
"line_numb... |
617624280 | # force keras to use the cpu becuase it's actually faster for this size network
#.import os
import numpy as np
import pandas as pd
from numpy import cos, sin, pi
import matplotlib.pyplot as plt
import scipy.integrate as integrate
#import matplotlib.animation as animation
#from ipython.display import html
import tens... | null | cartpole/rnn_ffnn_comp.py | rnn_ffnn_comp.py | py | 4,551 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.zeros",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.concatenate",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "numpy.transpose",
"line... |
316578209 | #!/usr/bin/env python
# coding=utf-8
# Author: Junjie Wang
# Mail: dreamboy.gns@sjtu.edu.cn
# Website:http://www.dbgns.com
# Blog:http://www.dbgns.com/blog
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
import numpy as np
import cv2
def imshow_grid(imgs, sqrtimg=32):
"""
visualize t... | null | pynn/utils/vis.py | vis.py | py | 919 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.ceil",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "cv2.resize",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line... |
345692766 | import requests
from bs4 import BeautifulSoup
import smtplib
#TESTED USING : https://www.amazon.sg/UltraShell-QuietComfort-Headphones-Replacement-Accessories/dp/B07R5LMJ2S/ref=pd_sim_23_3/357-5779832-6503746?_encoding=UTF8&pd_rd_i=B07R5LMJ2S&pd_rd_r=0c352e66-8284-40f3-880d-d3060fc5e7ee&pd_rd_w=j1M16&pd_rd_wg=YSMMM&pf... | null | scraper.py | scraper.py | py | 3,383 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"... |
439826783 | # Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT license.
from __future__ import annotations
__all__ = ['Alignment']
import bisect
from typing import Iterable, List, Optional, Tuple, cast, overload
from ._typing import Bounds, Range
class Alignment:
"""
An alignment bet... | null | python/bistring/_alignment.py | _alignment.py | py | 8,741 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "typing.List",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "typing.Iterable",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "_typing.Bounds",
"line_nu... |
347413096 |
import cv2
import sys
import os
import numpy as np
import tflearn
from tflearn.data_utils import shuffle
from tflearn.layers.core import input_data, dropout, fully_connected
from tflearn.layers.conv import conv_2d, max_pool_2d
from tflearn.layers.normalization import batch_normalization
from tflearn.layers.estimator ... | null | tensorflow/evaluate.py | evaluate.py | py | 3,563 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_RGB2GRAY",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "cv2.cvtC... |
256512882 | import configparser
import ctypes as ct
import numpy as np
import sharpy.utils.exceptions as exceptions
import sharpy.utils.cout_utils as cout
import sharpy.utils.cout_utils as cout
class DictConfigParser(configparser.ConfigParser):
def as_dict(self):
d = dict(self._sections)
for k in d:
... | null | sharpy/utils/settings.py | settings.py | py | 6,753 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "sharpy.utils.cout_utils.cout_wrap",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "sharpy.utils.cout_utils",
"line_number": 26,
"usage_type": "name"
},
... |
227576399 | import unittest
from unittest import TestCase
from datetime import datetime
from stack import Stack
class PushTest(TestCase):
''' push: add an element to the class '''
def test_inserted_element(self):
instance = Stack()
element = 'element'
instance.push(element)
self.assertIn... | null | stack/stack_test.py | stack_test.py | py | 3,684 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "unittest.TestCase",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "stack.Stack",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "unittest.TestCase",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "stack.Stack",
"lin... |
409297332 | """@package integration_test_fixtures
Base classes for Nighthawk integration tests
"""
import json
import logging
import os
import requests
import socket
import subprocess
import sys
import threading
import time
import pytest
from test.integration.common import IpVersion, NighthawkException
from test.integration.nigh... | null | test/integration/integration_test_fixtures.py | integration_test_fixtures.py | py | 7,826 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.environ.get",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "test.integration.common.IpVersion.IPV4",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_na... |
88367230 | """
Build and install the package.
"""
#from __future__ import division, print_function, absolute_import
from setuptools import setup, find_packages
NAME = 'ML_Train'
FULLNAME = NAME
AUTHOR = "Daniel Newman"
AUTHOR_EMAIL = 'danielnewman09@gmail.com'
LICENSE = "GNU GPLv3.0"
URL = "https://github.com/danielnewman09/ML_... | null | .ipynb_checkpoints/setup-checkpoint.py | setup-checkpoint.py | py | 2,304 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "setuptools.find_packages",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "setuptools.setup",
"line_number": 75,
"usage_type": "call"
}
] |
275326476 | import sqlite3
import matplotlib
from os import path
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import ticker
matplotlib.rcParams['text.usetex'] = True
matplotlib.rcParams['text.latex.unicode'] = True
plt.rc('font', family='serif')
def flatten(l):
"""
inefficiently flattens a lis... | null | figures/vpn/vpn_dct_cdf.py | vpn_dct_cdf.py | py | 5,713 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "matplotlib.rcParams",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.rcParams",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.rc",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": ... |
140913599 | from django.urls import path
from .views import (
BaseSpecView,
CreateNewFeature,
CreateNewCategory,
CreateNewFeatureValidator,
FeatureChoiceView,
CreateFeatureView,
NewProductFeatureView,
SearchProductAjaxView,
AttachNewFeatureToProduct,
ProductFeatureChoicesAjaxView,
Creat... | null | specs/urls.py | urls.py | py | 1,789 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.urls.path",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "views.BaseSpecView.as_view",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "views.BaseSpecView",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "django... |
2044186 | import numpy as np
import pandas as pd
import argparse
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('--input', default='./analyze_padding_data.tcl')
parser.add_argument('--output', default='../output_data/analyze_slack_time.csv')
parser.add_argument('--time', defaul... | null | analyze_slack_time/transfer_to_csv.py | transfer_to_csv.py | py | 732 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "pandas.DataFram... |
274136262 | import numpy as np
import torch, pdb
import pickle
import matplotlib.pyplot as plt
from tqdm import trange
from utils.reinforcement_learning import get_returns, plot_trajectories, plot_rewards
class Solver :
def __init__(self, config, policy, sampler, metalearner) :
self.config = config
self.policy = policy
se... | null | cuda/solver/solver.py | solver.py | py | 6,765 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pickle.load",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "utils.reinforcement_learning.get_returns",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "util... |
142800542 | from flask import Flask, render_template, request, redirect, json
import requests
from jinja2 import Template
app = Flask(__name__)
@app.route('/report', methods=['POST'])
def report():
pcode = request.form['pcode']
post_code = requests.get('https://api.postcodes.io/postcodes/' + pcode)
# return str(pos... | null | backend.py | backend.py | py | 1,514 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.request.form",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "requests.get",
"... |
506597977 | from factory import database
class CategoryModel(object):
def __init__(self):
self.db = database.Database()
self.collection = 'genesys_categories'
self.fields = {
"knowledge_name": "string",
"category": "string",
"doc_type": "string",
"questio... | null | assignment/src/models/category_model.py | category_model.py | py | 800 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "factory.database.Database",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "factory.database",
"line_number": 5,
"usage_type": "name"
}
] |
588576633 | import sys
import os
import re
import time
import math
import numpy as np
import nltk
from nltk.corpus import stopwords
from nltk.stem.snowball import SnowballStemmer
stopWords = set(stopwords.words('english'))
snowStemmer = SnowballStemmer(language='english')
docCount = 0
ans = ""
def indexToJson(doc):
fields =... | null | search.py | search.py | py | 5,646 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "nltk.corpus.stopwords.words",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.stopwords",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "nltk.stem.snowball.SnowballStemmer",
"line_number": 12,
"usage_type": "call"
},
{
... |
351526276 | #encoding: utf-8
import requests
from bs4 import BeautifulSoup
import json
def get_page():
# 1. url
url = "https://movie.douban.com/cinema/nowplaying/changsha/"
# 2. 请求页面的时候应该发送什么数据
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chro... | null | python_crawler/vastdata/douban_spider/douban_2.py | douban_2.py | py | 863 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 23,
"usage_type": "call"
}
] |
299920559 | from django.shortcuts import render
from django.http import HttpResponse, HttpResponseNotFound
from django.shortcuts import render, redirect
from django.contrib.auth.decorators import login_required
from django.http import JsonResponse
from django.forms.models import model_to_dict
from rest_framework.authentication imp... | null | test_script/update/views.py | views.py | py | 12,647 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "re.search",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "django.http.JsonResponse",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "django.http.JsonResponse... |
77308408 | from itertools import product
from operator import add, sub
from Bio import SeqIO
import sys
def CarilloLippmanMSA(seqs):
# Number of sequences
dims = len(seqs)
# Sequences lengths
lengths = [ len(seq) for seq in seqs]
# Cartesian product of "dims" dimension.
# Each dimension has two elements: 0 and 1. Ele... | null | Lippman.py | Lippman.py | py | 6,743 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "itertools.product",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "itertools.product",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "operator.sub",
"line_number": 173,
"usage_type": "argument"
},
{
"api_name": "operator.sub",
... |
211464142 | # -*- coding: utf-8 -*-
'''
Created on May 23, 2017
@author: joro
'''
import os
import sys
import numpy as np
import contextlib
import wave
import re
from src.utilsLyrics.Utilz import loadTextFile
from src.align.SectionLink import _SectionLinkBase
from src.align.Lyrics import Lyrics, LyricsLine
from src.for_englis... | null | src/align/GenericRecording.py | GenericRecording.py | py | 14,330 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "ParametersAlgo.ParametersAlgo.FOR_JINGJU",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "ParametersAlgo.ParametersAlgo",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "os.path.splitext",
"line_number": 55,
"usage_type": "call"
... |
388714398 | #!/usr/bin/env python3
# naive_stereo.py
# This program performs block-based matching to create a depth map
# given 2 stereo images.
#Import the Image class from PIL (Pillow)
from PIL import Image, ImageOps, ImageDraw
import numpy as np
import math
###########
###########
MAX_DISPARITY = 50 ### PLAY AROUND WITH T... | null | lab5/stereo.py | stereo.py | py | 3,434 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "PIL.Image.open",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "PIL.Image.open",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number"... |
91799247 | """
Crop images around major object with set padding
Note, that using these scripts for 1+GB images take several tens of GB RAM
EXAMPLE
-------
>> python crop_dataset_images.py \
-i "/datagrid/Medical/dataset_ANHIR/images/COAD_*/scale-100pc/*.png" \
--padding 0.1 --nb_jobs 2
Copyright (C) 2016-2018 Jiri Boro... | null | bm_dataset/crop_dataset_images.py | crop_dataset_images.py | py | 3,769 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.path",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "multiprocessing.cpu_count"... |
507043187 | """Implements SeismicBatch class for processing a small subset of seismic gathers"""
import numpy as np
from .gather import Gather
from .semblance import Semblance, ResidualSemblance
from .decorators import create_batch_methods, apply_to_each_component
from .utils import to_list
from ..batchflow import Batch, action,... | null | seismicpro/src/batch.py | batch.py | py | 14,126 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "batchflow.Batch",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "numpy.ndarray",
"line_number": 64,
"usage_type": "attribute"
},
{
"api_name": "utils.to_list",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "batchflow.DatasetInd... |
159969270 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
# -*- coding: utf-8 -*-
"""
Created on Thu May 27 2021
@author: Laique Abbas
"""
import os, numpy as np
import cv2
import random
import torch
import torch.utils.data as data
import xml.etree.ElementTree as ET
from abc import ABCMeta, abstractmethod
import scipy.cluster... | null | codebase/LabelSpreading.py | LabelSpreading.py | py | 18,177 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "torch.utils.data.Dataset",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "torch.utils.data",
"line_number": 41,
"usage_type": "name"
},
{
"api_name":... |
287208041 | import os
import json
import glob
from clarifai.rest import ClarifaiApp
from clarifai.rest import Image as ClImage
import secrets
app = ClarifaiApp(secrets.CLARIFAI_APP_ID, secrets.CLARIFAI_APP_SECRET)
model = app.models.get("general-v1.3")
colorModel = app.models.get("color")
# path to imgs
os.chdir("../src/data/te... | null | python/run_clarifai.py | run_clarifai.py | py | 2,101 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "clarifai.rest.ClarifaiApp",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "secrets.CLARIFAI_APP_ID",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "secrets.CLARIFAI_APP_SECRET",
"line_number": 9,
"usage_type": "attribute"
},
{
... |
256506592 | #!/usr/bin/env python
import numpy as np
import matplotlib.pyplot as plt
import time
import os
import threading
from copy import copy
import rospy
import tf
from controller import Controller
from std_msgs.msg import Empty
from nav_msgs.msg import Odometry
from sensor_msgs.msg import LaserScan
from geometry_msgs.msg ... | null | src/t2.py | t2.py | py | 12,866 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "rospy.init_node",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "rospy.loginfo",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.repeat",
"line_nu... |
619919406 | """
Tests for dit.pid.idownarrow.
"""
import pytest
from dit.pid.idownarrow import i_downarrow, PID_downarrow
from dit.pid.distributions import bivariates, trivariates
def test_idownarrow1():
"""
Test idownarrow on redundant distribution.
"""
d = bivariates['redundant']
uniques = i_downarrow(d, (... | null | dit/pid/tests/test_idownarrow.py | test_idownarrow.py | py | 1,992 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "dit.pid.distributions.bivariates",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "dit.pid.idownarrow.i_downarrow",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pytest.approx",
"line_number": 16,
"usage_type": "call"
},
{
"api... |
267244419 | '''dm-nn stack for education/age/gender'''
from datetime import datetime
import numpy as np
import pandas as pd
from gensim.models import Doc2Vec
from keras.layers.core import Dense, Dropout, Activation
from keras.models import Sequential
from keras.utils import np_utils
from sklearn.cross_validation import KFold
im... | null | dm_nn_stack.py | dm_nn_stack.py | py | 2,602 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.read_pickle",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "cfg.data_path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "gensim.models.Doc2V... |
370573130 | import cv2
import matplotlib.pyplot as plt
import numpy as np
from PIL import Image as imag
from PIL import ImageFilter, ImageEnhance
import pytesseract as pt
import os
from tkinter import *
import requests
#load the cascade
bottle_cascade=cv2.CascadeClassifier()
#make the tkinter ui
def make_window()... | null | dataset_automate_1.8.py | dataset_automate_1.8.py | py | 3,252 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "cv2.CascadeClassifier",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "cv2.resize",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_... |
269445436 | """MyDjango URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/1.10/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: url(r'^$', views.home, name='home')
Class-b... | null | MyDjango/urls.py | urls.py | py | 2,323 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.conf.urls.url",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin.site",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 22,
"usage_type": "name"
},
{
"api_name... |
399104562 | # coding=UTF-8
# -----------------------------------------------------------------------------------------
# @author: plutoese
# @date: 2015.10.10
# @class: AdminDatabase
# @introduction: 类AdminDatabase表示行政区划数据库。
# @property:
# - period: 数据库覆盖的年份
# @method:
# - find(self,**conds)：查询数据，参数conds是一系列参数。返回值是pymongo.cursor。... | null | application/DataWarehouse/database/class_admindatabase.py | class_admindatabase.py | py | 2,429 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "DataWarehouse.database.class_database.Database",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "DataWarehouse.database.class_database.Database.__init__",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "DataWarehouse.database.class_database.Data... |
48314094 | __author__ = 'Joe'
import numpy as np
import sys
import cv2
import sharedmem as shmem
import numexpr as ne
from concurrent.futures import ThreadPoolExecutor
def get_log_kernel(siz, std):
x = y = np.linspace(-siz, siz, 2*siz+1)
x, y = np.meshgrid(x, y)
arg = -(x**2 + y**2) / (2*std**2)
h =... | null | Miccai_challenge/fstack.py | fstack.py | py | 5,716 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.linspace",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.meshgrid",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.exp",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sys.float_info",
"line_nu... |
522406909 | # Time: O(nlogn), n is the max of A
# Space: O(n)
# 982
# Given an array of integers A, find the # of triples of indices (i, j, k) such that:
#
# 0 <= i < A.length
# 0 <= j < A.length
# 0 <= k < A.length
# A[i] & A[j] & A[k] == 0, where & represents the bitwise-AND operator.
#
#
# Example 1:
#
# Input: [2,1,3]
# Outp... | null | Python/triples-with-bitwise-and-equal-to-zero.py | triples-with-bitwise-and-equal-to-zero.py | py | 2,006 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "collections.Counter",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 74,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 75,
"usage_type": "call"
}
] |
615661564 | ## nltk.download() script is broken; manually pull in required folders from http://www.nltk.org/nltk_data/ into 'nltk_data' folder in home directory
import nltk
from nltk.tokenize import sent_tokenize, word_tokenize
from nltk.corpus import stopwords
from nltk.stem import PorterStemmer
from nltk.corpus import state_uni... | null | NLTKbasics.py | NLTKbasics.py | py | 4,582 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "nltk.tokenize.sent_tokenize",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "nltk.tokenize.word_tokenize",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.stopwords.words",
"line_number": 45,
"usage_type": "call"
},
{
... |
639959400 | import cv2
import json
import socket
import numpy as np
from io import BytesIO
import struct
# Capture frame
cap = cv2.VideoCapture(0)
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s.connect(('localhost', 9998))
while cap.isOpened():
_, frame = cap.read()
dim = (128, 128)
frame = cv2.resize(fram... | null | src/webcamClient.py | webcamClient.py | py | 626 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "socket.socket",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "socket.SOCK_STREAM... |
76143777 | import pandas as pd
from sklearn.model_selection import train_test_split, KFold, cross_val_score # Kfold : 교차 검증
from sklearn.model_selection import GridSearchCV # CV = cross validation
from sklearn.metrics import accuracy_score
from sklearn.svm import SVC
# gridSearch
# 내가 정해놓은 조건들을 충족하는 것을 전부다 가져온다.
#1. dat... | null | ml/m11_gridSearch.py | m11_gridSearch.py | py | 1,792 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.read_csv",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.KFold",
"line_number": 30,
"usage_type": "call"
},
{... |
139896112 | """
Scraper data structure
Game contains game name, game id, items
Item contains name, icon url, price history
Price history contains date, median price, volume, rsi, macd, percentage change, turnover
"""
# Standard library
from datetime import timedelta # To find all dates
from sys import setrecursionlimit # To allow... | null | Minimum Viable Product/back_end/scraper_data.py | scraper_data.py | py | 14,374 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "scraper_support.get_game_name_from_id",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "datetime.timedelta",
"line_number": 161,
"usage_type": "call"
},
{
"api_name": "scraper_support.sort_objects_by_date",
"line_number": 164,
"usage_type": "call"... |
234983145 | r"""
Test utility functions
==================
"""
# Author: Nicholas Cain
# License: 3-clause BSD
import sphinx_gallery.utils as utils
import pytest
@pytest.mark.parametrize("file_name", ("some/file/name", "/corner.pycase"))
def test_replace_py_ipynb(file_name):
# Test behavior of function with expected input... | null | sphinx_gallery/tests/test_utils.py | test_utils.py | py | 579 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sphinx_gallery.utils.replace_py_ipynb",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sphinx_gallery.utils",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "pytest.raises",
"line_number": 20,
"usage_type": "call"
},
{
"api_name... |
313167621 | # Copyright 2019 Intel Corporation
#
# 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 wri... | null | tests/avalon_test_framework/tests/worker_tests/test_retrieve.py | test_retrieve.py | py | 2,240 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "src.libs.avalon_test_base.AvalonBase",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "pytest.mark.setup_teardown_data",
"line_number": 33,
"usage_type": "call"
},
{... |
612423956 | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
from numpy import linalg as LA
from multipledispatch import dispatch
def sigmoid(z):
"""
The sigmoid function that returns the output of function for input z.
This function will be used to predict the class for th... | null | logistic iris/logistic_IRIS.py | logistic_IRIS.py | py | 8,195 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.exp",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "multipledispatch.dispatch",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.ndarray",
"... |
542574823 | from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
from database_setup import Shoppingmall, Base, Cloth, User
engine = create_engine('sqlite:///dresses.db')
# Bind the engine to the metadata of the Base class so that the
# declaratives can be accessed through a DBSession instance
Bas... | null | clothes.py | clothes.py | py | 3,272 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sqlalchemy.create_engine",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "database_setup.Base.metadata",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "database_setup.Base",
"line_number": 9,
"usage_type": "name"
},
{
"api_n... |
149271559 | #!/usr/bin/env python
import argparse
from matplotlib import pyplot as plt
import datetime as dt
parser = argparse.ArgumentParser(description="An implementation of the Boston Python Collatz Dash")
parser.add_argument("-a", dest="a", type=int, required=True, help="Age of contestant A")
parser.add_argument("-b", dest=... | null | scripts/Collatz Dash.py | Collatz Dash.py | py | 1,874 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 58,
"usage_type": "name"
},
{
"api_name": "dat... |
391529171 | import pygame
import random
import math
from pygame import mixer
pygame.init()
#create a screen
screen = pygame.display.set_mode((800,500))
background = pygame.image.load('bg3.jpg')
# BACKGROUND SOUND
mixer.music.load('background.wav')
mixer.music.play(-1)
#title and Icon
pygame.display.set_caption('space invaders')... | null | spaceinvaders2.py | spaceinvaders2.py | py | 3,848 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pygame.init",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pygame.image.loa... |
515447594 |
### pip install '/kaggle/input/dlibpkg/dlib-19.19.0'
### pip install '/kaggle/input/face-recognition/face_recognition_models-0.3.0/face_recognition_models-0.3.0'
### pip install '/kaggle/input/face-recognition/face_recognition-0.1.5-py2.py3-none-any.whl'
### pip install '/kaggle/input/imageio-ffmpeg/imageio_ffmpeg-... | null | sources/fake-detect-basic.py | fake-detect-basic.py | py | 5,778 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "os.walk",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_n... |
650062178 | import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from numpy.random import rand
from scipy import integrate
import math
#### NEED TO FIX ADAMS DISTRIBUTION###
# 1: get random sets of points in galaxy -> copy procedure from randgalaxy file
# 2: find relative location to sun (need... | null | mc_sn.py | mc_sn.py | py | 5,782 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.random.rand",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.random.rand",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "numpy.random.rand",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.log",
... |
321265176 | # -*- coding: utf-8 -*-
import scrapy
from scrapy.spiders import CrawlSpider
from scrapy import Selector
import os
import datetime
from time import strftime
#from scrapy.conf import settings
from scrapy.utils.project import get_project_settings
from ettoday.items import MoneyUDNItem
import logging
from tim... | null | money_udn_spider.py | money_udn_spider.py | py | 8,651 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "scrapy.spiders.CrawlSpider",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "scrapy.utils.project.get_project_settings",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 34,
"usage_type": "call"
},... |
96673621 | import os
import csv
import pandas as pd
import numpy as np
from sklearn.ensemble import RandomForestClassifier
import pickle
from sklearn.preprocessing import scale
#set root directory
rootdir = 'datasets'
#
def list_files(rootdir):
list=[]
for root, dirs, files in os.walk(rootdir):
list=files
pr... | null | real_time_engine/game-logic-master/model_training.py | model_training.py | py | 1,582 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.walk",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "sklearn.ensemble.RandomForestClassifier",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "pickl... |
575715438 | import os
import json
from glob import glob
data_folder = "/home/ubuntu/cs230_data"
# bucket_dirs = glob("/home/ubuntu/cs230_data/*/")
metadata_files = glob("/home/ubuntu/cs230_data/*/metadata.json")
# Explore the Metadata Files Thoroughly
def main():
# Metadata will be the concatenation of all the metadata.json ... | null | data_exploration/metadata_explore.py | metadata_explore.py | py | 2,335 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "glob.glob",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 15,
"usage_type": "call"
}
] |
174571354 | import numpy as np
import os
import cv2
import tensorflow as tf
import matplotlib.pyplot as plt
import glob
import keras_preprocessing
import keras_applications
from keras_preprocessing.image import ImageDataGenerator , array_to_img, img_to_array, load_img
#DATADIR = "C:/aadhar"
#gen = ImageDataGenerator(... | null | dection.py | dection.py | py | 2,710 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "cv2.cvtColor",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "cv2.rectangle",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "cv2.putText",
... |
29889074 | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from sklearn.linear_model import LinearRegression
train_data = pd.read_csv('Q4_train.csv')
train_data = train_data.iloc[:,1:]
test_data = pd.read_csv('Q4_test.csv')
test_data = test_data.iloc[:,1:]
x_train = np.array(train_data.iloc[:,0:-1])
y_tr... | null | 9417exam/q4/q4.py | q4.py | py | 3,848 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.read_csv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_num... |
338676574 | '''
Created on 2018年7月1日
@author: haogooder
'''
import copy
import json
import logging
import os
import struct
import time
import sys
current_dir = os.path.dirname(os.path.abspath(__file__))
sys.path.append(current_dir)
from remote_call_client import RemoteCallClient
class SangforIpcTool(object):
'''
usage:... | null | remote_call_tools/remote_call_client/sangfor_remote_ipc_client.py | sangfor_remote_ipc_client.py | py | 4,818 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.dirname",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"l... |
198829076 | from urllib.request import urlopen, quote
import json
import pandas as pd
city = pd.read_csv("city.csv")
ak = "" # 百度地图API密钥
def getlatlng(name):
url = "http://api.map.baidu.com/geocoding/v3/"
address = quote(name)
url_com = url + '?' + 'address=' + address + '&output=json' + '&ak=' + ak
... | null | Wuhan_Road.py | Wuhan_Road.py | py | 2,145 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.read_csv",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "urllib.request.quote",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "urllib.request.urlopen",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "json.loads... |
271392964 | # -----------------------------------------------------------------------------
# IMPORT MODULES
# -----------------------------------------------------------------------------
from pyomo.core import AbstractModel, Set, Param, PositiveReals
from pyomo.core import NonNegativeIntegers, Binar... | null | models_RLT/constraints.py | constraints.py | py | 13,583 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pyomo.core.AbstractModel",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pyomo.core.Set",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "pyomo.core.Set",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pyomo.core.Set... |
62124631 | """Main UI module, brings everything together."""
from tkinter import * # ui library
from tkinter import ttk # themed ui components that match the OS
from tkinter import messagebox # simple, standard modal dialogs
import itertools
import operator
import random
import math
from srctools import Property
from app impo... | null | src/app/UI.py | UI.py | py | 64,451 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "srctools.logger.get_logger",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "srctools.logger",
"line_number": 45,
"usage_type": "attribute"
},
{
"api_name": "BEE2_config.ConfigFile",
"line_number": 77,
"usage_type": "call"
},
{
"api_name":... |
557739799 | # -*- coding: utf-8 -*-
# Copyright (c) 2017, Frappe Technologies Pvt. Ltd. and contributors
# For license information, please see license.txt
from __future__ import unicode_literals
import frappe
from frappe.model.document import Document
from dateutil.relativedelta import relativedelta
from frappe.utils import cint,... | null | erpnext/hr/doctype/payroll_entry/payroll_entry.py | payroll_entry.py | py | 10,405 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "frappe.model.document.Document",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "frappe.db.sql",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "frappe.db",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "frappe.db... |
486137242 | #!/usr/bin/env python3
#gruppe2 train dataset
import json
import numpy as np
import cv2
import matplotlib.pyplot as plt
import os
from IPython import embed
json_path = 'chongqigongmen/data_label/job-403751-4.json'
train_anno_path = 'chongqigongmen/data_label/train_arch.json'
test_anno_path = 'chongqigongmen/data_label... | null | data_group.py | data_group.py | py | 3,715 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "json.load",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_name": "cv2.imread",
"line_number": 5... |
437081277 | #! /usr/bin/python
# -*- coding: utf-8 -*-
"""
Fixtures for Management Network As A Role test cases
"""
import pytest
import art.rhevm_api.tests_lib.low_level.hosts as ll_hosts
import art.rhevm_api.tests_lib.low_level.networks as ll_networks
import art.rhevm_api.tests_lib.high_level.hosts as hl_hosts
import rhevmtes... | null | art/tests/rhevmtests/networking/management_as_role/fixtures.py | fixtures.py | py | 3,251 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "rhevmtests.networking.config.HOSTS",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "rhevmtests.networking.config",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "rhevmtests.networking.config.VDS_HOSTS",
"line_number": 24,
"usage_t... |
353620214 | import logging
from ..WKT import WKT
from ..models.record import WKTRecord
from ..models.record import Metadata
from ..ographic.TriaxialOgraphicWKT import TriaxialOgraphicWKT
from ..ographic.TriaxialOgraphicWKT import TriaxialOgraphicMetadata
from ..ographic.OgraphicWKT import OgraphicWKT
from ..ographic.OgraphicWKT im... | null | OGC_IAU2000_WKT_v2/Source_Python/wkt/ographic/OgraphicFactory.py | OgraphicFactory.py | py | 8,962 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "models.record.Metadata.BODY",
"line_number": 76,
"usage_type": "attribute"
},
{
"api_name": "models.record.Metadata",
"line_number": 76,
"usage_type": "name"
},
{
"api_nam... |
643827013 | # -*- coding: utf-8 -*-
#
# Copyright (C) 2020-2021 CERN.
# Copyright (C) 2020 Northwestern University.
#
# Invenio-Drafts-Resources is free software; you can redistribute it and/or
# modify it under the terms of the MIT License; see LICENSE file for more
# details.
"""Primary service for working with records and draf... | null | invenio_drafts_resources/services/records/service.py | service.py | py | 18,522 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "invenio_records_resources.services.RecordService",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "invenio_records_resources.services.ServiceSchemaWrapper",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "elasticsearch_dsl.query.Q",
"line_nu... |
228506660 | # --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------... | null | src/scheduled-query/azext_scheduled_query/custom.py | custom.py | py | 3,289 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "vendored_sdks.azure_mgmt_scheduled_query.models.ConditionFailingPeriods",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "knack.util.CLIError",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "vendored_sdks.azure_mgmt_scheduled_query.models.Sched... |
268765538 | from keras.models import Model
from keras.models import model_from_json
from keras.layers import Input, Convolution2D, MaxPooling2D
import numpy as np
import matplotlib
matplotlib.use("agg")
import matplotlib.pyplot as plt
# Import the model from the json file
json_file = open('../data_out/model/model.json', 'r')
load... | null | extra_point_1.py | extra_point_1.py | py | 1,591 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "matplotlib.use",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "keras.models.model_from_json",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "keras.layers.In... |
564032187 | # Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://docs.scrapy.org/en/latest/topics/item-pipeline.html
import pymysql
from scrapy.utils.project import get_project_settings
class mysqlPipeline(object):
def __init__(self):
settings = get_proje... | null | week13/spiders/spiders/pipelines.py | pipelines.py | py | 1,150 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "scrapy.utils.project.get_project_settings",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pymysql.connect",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pymysql.cursors",
"line_number": 18,
"usage_type": "attribute"
}
] |
590025163 | from django.contrib.staticfiles.storage import HashedFilesMixin, ManifestStaticFilesStorage
class StaticFiles(ManifestStaticFilesStorage):
patterns = HashedFilesMixin.patterns + (
("*.js", (
(r"""(['"](img\/.*?)['"])""", """\"%s\""""),
)),
)
def hashed_name(self, name, content... | null | storage.py | storage.py | py | 583 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.contrib.staticfiles.storage.ManifestStaticFilesStorage",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "django.contrib.staticfiles.storage.HashedFilesMixin.patterns",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.stat... |
401336876 | """
Tests GLMRegressor converter.
"""
import unittest
from sklearn import datasets
from sklearn import linear_model
from sklearn.svm import LinearSVR
from onnxmltools import convert_sklearn
from onnxmltools.convert.common.data_types import FloatTensorType
class TestGLMRegressorConverter(unittest.TestCase):
def _... | null | tests/sklearn/test_GLMRegressorConverter.py | test_GLMRegressorConverter.py | py | 1,689 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "unittest.TestCase",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "sklearn.datasets.make_regression",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sklearn.datasets",
"line_number": 15,
"usage_type": "name"
},
{
"api_name... |
634189638 | # Copyright 2014 Kontron Europe GmbH
#
# 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 | src/HpiLibrary/__init__.py | __init__.py | py | 19,654 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "utils.Logging",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "utils.PerConnectionStorage",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "utils.PerConnectionStorage.__init__",
"line_number": 33,
"usage_type": "call"
},
{
"api_... |
588476307 | import nltk
import re
def bigramm(s):
sentence = s.split()
bigramed = list(nltk.bigrams(sentence))
# trigrammed =list(nltk.trigrams(sentence))
bigramlist = [('ነገር','ግን'),('ፊት','ለፍፊት'),('ፍርድ','ቤት'),('ትምህርት','ቤት'),('ሥነ','ቃል'),('ሥነ','ፅሁፍ'),('ሥነ','ጥበብ'),
('አዲሥ','አበባ'),('አዲስ','አበባ'),('ባህር','... | null | amharic_bigram_generator.py | amharic_bigram_generator.py | py | 3,161 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "nltk.bigrams",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 94,
"usage_type": "call"
}
] |
7151028 | from django.conf.urls import url
from djanalytics.charts.views import (
exit_page,
page_visit,
referrer,
session,
user,
)
urlpatterns = [
url(r'^charts/session/$', session.SessionChart.as_view(), name='session_chart'),
url(r'^charts/user/$', user.UserChart.as_view(), name='user_chart'),
... | null | djanalytics/charts/urls.py | urls.py | py | 563 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.conf.urls.url",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "djanalytics.charts.views.session.SessionChart.as_view",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "djanalytics.charts.views.session.SessionChart",
"line_number": 11,... |
273908371 | import logger as Informer
from logger import Action
import datetime
import psutil
import utils
import os
# ---- LOAD CONFIG ----
if not os.path.isfile('config.json'):
CONFIG = utils.create_config_file()
else:
CONFIG = utils.load_config_file()
try:
PROCESS_NAME = CONFIG['DEFAULT']['PROCESS_NAME']
SLEEP... | null | main.py | main.py | py | 2,430 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.isfile",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "utils.create_config_file",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "utils.load_confi... |
406879183 | from os import listdir, makedirs, path, system, popen
import json
from jsoncomment import JsonComment
import time
from shutil import copyfile, rmtree
src_dir = 'data/test'
incorrect_dir = 'data/incorrect'
parser = JsonComment(json)
total_count = 0
start = time.time()
correct = {}
incorrect = {}
result = {}
dirs = ... | null | check.py | check.py | py | 2,029 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "jsoncomment.JsonComment",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path.isdir",
"lin... |
289969058 |
import os, logging, random, socket, time, select
from .base import NBNS, NotConnectedError
from .nmb_constants import TYPE_CLIENT, TYPE_SERVER, TYPE_WORKSTATION
class NetBIOS(NBNS):
log = logging.getLogger('NMB.NetBIOS')
def __init__(self, broadcast = True, listen_port = 0):
"""
Instantiate ... | null | bin/lib/nmb/NetBIOS.py | NetBIOS.py | py | 6,285 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "base.NBNS",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "logging.getLogger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "socket.socket",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_nu... |
318382465 | import os
import lazy_dataset
import numpy as np
import torch
from padertorch import Trainer
from padertorch.contrib.je.data.transforms import Collate
from padertorch.contrib.je.data.transforms import LabelEncoder
from padertorch.contrib.je.modules.conv import CNN2d, CNN1d
from padertorch.contrib.je.modules.global_poo... | null | sins/systems/asc/train.py | train.py | py | 9,347 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sacred.Experiment",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "sins.paths.exp_dir",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "sins.utils.timestamp",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "sacred.obse... |
106797878 | from django.conf.urls import url
from django.views.generic import RedirectView
from . import views
app_name = 'requests'
urlpatterns = [
url(r'^$', RedirectView.as_view(url='my_requests/'), name='index'),
url(r'^new_petty_cash_request/$', views.PettyCashFormView.as_view(), name='new_petty_cash_request'),
... | null | requests/urls.py | urls.py | py | 504 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.conf.urls.url",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.views.generic.RedirectView.as_view",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.views.generic.RedirectView",
"line_number": 9,
"usage_type": "name"
... |
136589085 | from __future__ import unicode_literals
import sys
import os
import time
import subprocess
import shlex
from .instance import Rinstance
from . import interface
from . import api
from . import callbacks
from prompt_toolkit import Prompt
from prompt_toolkit.eventloop import create_event_loop, set_event_loop, run_in_exec... | null | rice/application.py | application.py | py | 6,985 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "prompt_toolkit.Prompt",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "prompt_toolkit.formatted_text.ANSI",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "prompt_toolkit.formatted_text.ANSI",
"line_number": 63,
"usage_type": "call"
}... |
498246626 | from django.shortcuts import render
from rest_framework.views import APIView
from rest_framework import permissions
from rest_framework.response import Response
from rest_framework import generics
import django_filters.rest_framework
from shop.models import Food
from django.core import serializers as core_serializers
f... | null | backend2/savefood/carts/views.py | views.py | py | 7,537 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "rest_framework.views.APIView",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "rest_framework.permissions.IsAuthenticated",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.permissions",
"line_number": 15,
"usage_type"... |
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