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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
630445238 | from django.shortcuts import render
from django.contrib.auth.models import User
from rest_framework import (generics, status)
from .serializers import (
RegisterSerializer,
UserProfileSerializer,
CustomTokenObtainPairSerializer,
UserDiseaseHistorySerializer,
UpdateUserSerializer)
from .models import... | null | account/views.py | views.py | py | 3,696 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "rest_framework_simplejwt.views.TokenObtainPairView",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "rest_framework.decorators.permission_classes",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "rest_framework.permissions.AllowAny",
"line_n... |
201022000 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import math
import os
import random
import sys
import time
import logging
import numpy as np
from six.moves import xrange # pylint: disable=redefined-builtin
import tensorflow as tf
from bleu import BLEU
impor... | null | model/QA.py | QA.py | py | 18,343 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "tensorflow.app.flags.DEFINE_float",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "tensorflow.app",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.app.flags.DEFINE_float",
"line_number": 20,
"usage_type": "call"
},
... |
16139996 | import paramiko
import threading
import socket
import sys
import traceback
import re
import os
class ParamikoServer(paramiko.ServerInterface):
def __init__(self, keys_directory, authorized_keys_file):
self._event = threading.Event()
self._keys_directory = keys_directory
self._authorized_key... | null | client/ssh_server.py | ssh_server.py | py | 5,911 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "paramiko.ServerInterface",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "threading.Event",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path",
... |
383659183 | #!/usr/bin/env python
# encoding: utf-8
"""
@Author: yangwenhao
@Contact: 874681044@qq.com
@Software: PyCharm
@File: make_feat.py
@Time: 2020/4/1 11:25 AM
@Overview:
"""
from __future__ import print_function
import argparse
import os
import shutil
import sys
import time
from multiprocessing import Pool, Manager
imp... | null | Process_Data/Compute_Feat/make_feat.py | make_feat.py | py | 13,834 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 82,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 82,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
... |
106130241 | # -------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
# --------------------------------------------------------------------------
import nu... | null | onnxmltools/convert/keras/operator_converters/LSTM.py | LSTM.py | py | 6,183 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.empty",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.empty",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "common._apply_operation.apply_res... |
327514325 | # encoding: utf-8
from flask import Flask, request, abort
import urllib2
import re
import yaml
from bs4 import BeautifulSoup
import xml.etree.ElementTree as ET
from linebot import (
LineBotApi, WebhookHandler
)
from linebot.exceptions import (
InvalidSignatureError
)
from linebot.models import (
Messag... | null | app.py | app.py | py | 3,417 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "yaml.load",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "linebot.LineBotApi",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "linebot.WebhookHandler",
... |
580410290 | import sys
sys.setrecursionlimit(1000000)
from sys import exc_info
from os import path
import json
import logging
import datetime
from traceback import format_exc
from time import time
from urllib3.exceptions import *
from asyncio import sleep as async_sleep
from asyncstdlib import anext
from bitcoin.wallet import P2P... | null | yadacoin/core/consensus.py | consensus.py | py | 16,099 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.setrecursionlimit",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "yadacoin.core.chain.CHAIN.MAX_TARGET",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_name": "yadacoin.core.chain.CHAIN",
"line_number": 40,
"usage_type": "name"
},
... |
202144244 | # Run 'discoronode.py' program to start processes to execute
# computations sent by this client, along with this program.
# Distributed computing example where this client sends computation to
# remote discoro process to run as remote coroutines. At any time at
# most one computation coroutine is scheduled at a proces... | null | examples/discoro_client2.py | discoro_client2.py | py | 4,346 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "asyncoro.disasyncoro.MonitorException",
"line_number": 51,
"usage_type": "attribute"
},
{
"api_name": "asyncoro.disasyncoro",
"line_number": 51,
"usage_type": "name"
},
{
"api_name": "asyncoro.disasyncoro.httpd.HTTPServer",
"line_number": 62,
"usage_type": ... |
455960182 | # -*- coding : utf-8 -*-
from openpyxl import Workbook
import os
if os.path.isdir == 'data':
os.mkdir('data')
os.chdir('data')
wb = Workbook()
ws = wb.active
ws['A1'] = 'Hello, World'
sheet = 'Test sheet'
ws2 = wb.create_sheet(1, sheet)
ws2['A1'] = 100
wb.save('test2.xlsx') | null | Study_from_Windows/openpyxl/openpyxl_prac2.py | openpyxl_prac2.py | py | 296 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "os.mkdir",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.chdir",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "openpyxl.Workbook",
"line_number": 9,... |
413436269 | #!/usr/bin/env python3
# -*- coding:utf-8 -*-
"""
準備一些環境
以main運行，將：
讀取設定檔
構建必要的資料庫和錶結構
存入管理員用戶配寘
存入初始化數據
對應的配寘、增改數據等請參照注釋調整常數定義
關於資料檔案：
資料檔案必須按格式書寫
數據檔案格式要求：
1. csv格式，對應表的每個欄位都需要體現，即使該欄位沒有值，也應該留空
2.數據以英文分號分隔，無文本標記
3.資料檔案不包含標題
3.例：1;1;2;;5;1
關於初始化清單：
定義在常數datas中，... | null | preenv.py | preenv.py | py | 11,246 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 107,
"usage_type": "call"
},
{
"api_name": "MySQLdb.connect",
"line_number": 119,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 171,
"usage_type": "call"
},
{
"api_name": "os.path",... |
217193061 | import os
import glob
from pymatgen.core.structure import Structure
from pymatgen.symmetry.analyzer import SpacegroupAnalyzer
module_dir = os.path.join(os.path.dirname(os.path.abspath(__file__)))
find_structure = glob.glob(os.path.join(module_dir, "clus", "Al1H10O5"+"*"))
#print(find_structure)
s = Structure.from_fil... | null | test_structures/es.py | es.py | py | 582 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.join",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line_nu... |
201674138 | import os
from migrate import exceptions as versioning_exceptions
from migrate.versioning import api as versioning_api
from migrate.versioning.repository import Repository
from oslo_db.sqlalchemy import utils as db_utils
from oslo_log import log as logging
import sqlalchemy
from sqlalchemy.sql import null
from mgmt.d... | null | exec_srvc/db/sqlalchemy/migration.py | migration.py | py | 2,839 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "mgmt.db.sqlalchemy.api.get_api_engine",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "mgmt.db.sqlalchemy.api",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "migrate.versioning.api.upgrade",
"line_number": 33,
"usage_type": "call"
}... |
578950631 | # -*- coding: utf-8 -*-
"""
spider.wechat.py
~~~~~~~~~~~~~~
:copyright:...
"""
import datetime
import json
import logging
import requests
# 测试号
appid = "wx23d964155e171297"
secret = "80d5b0a1ba016ea4e5d7c436f42b96be"
values = {'grant_type': 'client_credential',
'appid': appid,
'secret'... | null | spider/wechat.py | wechat.py | py | 2,271 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "reques... |
35174295 |
'''
ICLR RocketPy - Frontend
Maintained by Raihaan Usman
The face of RocketPy! Uses Flask and Streamlit to provide a web interface for the RocketPy workflow.
Full usage notes are available at https://rpycore.readthedocs.io/en/latest/
'''
from flask import Flask, render_template, request, jsonify # The nic... | null | rpycore/RocketPy.py | RocketPy.py | py | 1,316 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "streamlit.already_started_server",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "streamlit.write",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "fla... |
106166422 | from django.shortcuts import render
from .forms import SignUpForm
def home(request):
if request.user.is_authenticated():
title = 'Welcome, {}'.format(request.user)
else:
title = 'Welcome'
# if request.method == "POST":
# print(request.POST)
form = SignUpForm(request.POST or ... | null | newsletter/views.py | views.py | py | 835 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "forms.SignUpForm",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 37,
"usage_type": "call"
}
] |
182853905 | import argparse
import argcomplete
def register_merge_parser(subparsers):
merge_parser = subparsers.add_parser('merge', help='Merge current branch in main branch, generating changelog, with a nice message')
def register_commit_parser(subparsers):
commit_parser = subparsers.add_parser('commit', help='Create a... | null | tmsgit/__main__.py | __main__.py | py | 3,029 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "argcomplete.autocomplete",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "commands.create_branch",
"line_number": 65,
"usage_type": "call"
},
{
"api_name"... |
152578382 | import numpy as np
from numpy.linalg import norm
from numpy.fft import fft, ifft
from sklearn.metrics import silhouette_score as _silhouette_score
def sbd(x, y):
ncc = _ncc_c(x, y)
idx = ncc.argmax()
dist = 1 - ncc[idx]
if dist < 0:
return 0
else:
return dist
def _ncc_c(x, y):
... | null | causal-discovery/clustering/sbd.py | sbd.py | py | 997 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.array",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.linalg.norm",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.Inf",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "numpy.fft.ifft",
"li... |
617487137 | # SVM and Random Forest
# Team Project
from sklearn_pandas import DataFrameMapper
import numpy as np
import pandas as pd
import re
import matplotlib.pyplot as plt
from nltk.corpus import stopwords
from sklearn.model_selection import train_test_split
from sklearn.feature_extraction.text import CountVectorizer
import sc... | null | main.py | main.py | py | 4,417 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "nltk.stem.PorterStemmer",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": ... |
578868046 | #!/usr/bin/env python
# encoding: utf-8
"""Migrate files to correct container.
Note: Must use Rackspace credentials with access to both test and production
containers.
Note: Must have pyrax installed to run.
Run dry run: python -m scripts.migrate_cloudfiles_container dry
Run migration: python -m scripts.migrate_cloudf... | null | scripts/migrate_cloudfiles_container.py | migrate_cloudfiles_container.py | py | 4,065 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "modularodm.Q"... |
456410219 | import os
import sys
import logging
import argparse
import configure
logger = logging.getLogger(__name__)
class Config(object):
"""
Usage:
config = Config()
print config['acme/proxy/https']
"""
def __init__(self):
try:
self.__config = configure.Configuration.from_file(
... | null | acme/tools/config.py | config.py | py | 1,514 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "configure.Configuration.from_file",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "configure.Configuration",
"line_number": 21,
"usage_type": "attribute"
},
{
"a... |
591721952 | '''
Manages the mute command.
Last update: 30/04/19
'''
# Dependancies
import discord, asyncio, time
from discord.ext import commands
from discord.ext.commands import Cog
from discord.utils import get
from cogs.utils.translation.translation import Translator
from cogs.utils.functions.auto_mod.perm_overwrite import Mu... | null | cogs/commands/mute.py | mute.py | py | 5,276 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "discord.Member",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "cogs.utils.translation.translation.Translator",
"line_number": 33,
"usage_type": "call"
},... |
440538908 | import click
import yaml
import yamlordereddictloader
import os
from datetime import datetime, timedelta
def echo_success(msg):
click.echo(click.style(msg, fg='green'))
def echo_error(msg):
click.echo(click.style(msg, fg='red'))
def echo_skip(msg):
click.echo(click.style(msg, fg='cyan'))
def update_... | null | utils/utils.py | utils.py | py | 1,401 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "click.echo",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "click.style",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "click.echo",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "click.style",
"line_number": 13,
... |
653934355 | import pandas as pd
from collections import Counter
movies = pd.read_csv("movies.csv")
# Extract column year
movies["year"] = movies["title"].apply(lambda x: x[-5:-1])
# Select movie in year 1995
movies_1995 = movies[movies.year == '1930']
pd.options.mode.chained_assignment = None
# See this https://stackoverflow.c... | null | pandas-lib/2.py | 2.py | py | 858 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.read_csv",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pandas.options",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "collections.Counter",
"line_number": 27,
"usage_type": "call"
}
] |
555371143 | # -*- coding: utf-8 -*-
# BUG1989 is pleased to support the open source community by supporting ncnn available.
#
# Copyright (C) 2019 BUG1989. All rights reserved.
#
# Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
# in compliance with the License. You may obtain a copy of t... | null | quan_table/dcp/sq_finetune_2/utils/quant_net.py | quant_net.py | py | 3,724 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torch.nn.Module",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "dcp.sq_finetune.utils.quant_op.quantize_data",
"line_number": 51,
"usage_type": "call"
},
{
"api_na... |
74930404 |
# coding: utf-8
# In[ ]:
import requests
# In[ ]:
from bs4 import BeautifulSoup
# In[17]:
request = requests.get('https://www.amazon.com/PlayStation-Slim-1TB-Console-Bundle-4/dp/B07YLDNTKB/ref=sr_1_1?fst=as%3Aoff&pf_rd_i=16225016011&pf_rd_m=ATVPDKIKX0DER&pf_rd_p=03b28c2c-71e9-4947-aa06-f8b5dc8bf880&pf_rd_r=... | null | Untitled24 (1).py | Untitled24 (1).py | py | 774 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 21,
"usage_type": "call"
}
] |
479265236 | # code in this file is created by Vishwas
from django.http import HttpResponse
from django.shortcuts import render
def index(request):
# para = {'name':'vishwas', 'place':'mumbai'}
# return HttpResponse('''<h1>Hello Vishwaschandra</h1> <a href='https://www.flanoyinfotech.com/' target="blank">Flanoy Infotech</a... | null | djangosite/views.py | views.py | py | 2,859 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.shortcuts.render",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.http.HttpResponse",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 69,
"usage_type": "call"
}
] |
301810678 | from flask import Flask
from flask_sock import Sock
import time
app = Flask(__name__)
sock = Sock(app)
i = 0
@sock.route('/reverse')
def reverse(ws):
while True:
# text = ws.receive()
# ws.send(text[::-1])
time.sleep(3)
i += 1
ws.send(1)
if __name__ == '__main__':
... | null | .history/ws_20210607171026.py | ws_20210607171026.py | py | 343 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask_sock.Sock",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 14,
"usage_type": "call"
}
] |
267469407 | import json
from collections import Counter
from datetime import datetime
import redis
from pytz import timezone
from flask import Flask, jsonify
import requests
import os
from flask_cors import CORS
from redis import Redis
app = Flask(__name__)
CORS(app)
def init_redis():
# localhost:6379
return redis.St... | null | backend.py | backend.py | py | 4,338 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "redis.StrictRedis.from_url",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "redis.StrictRe... |
442213319 | import pygame
import time
########## Initialize Pygame ##########
pygame.init()
pygame.font.init()
########## Set Initial Values ##########
screenwidth = 600
screenheight = 300
size = (screenwidth,screenheight)
screen = pygame.display.set_mode(size)
bgcolor = (255,255,255)
pygame.display.set_caption("Moving ... | null | 6_1_player_ball_movement.py | 6_1_player_ball_movement.py | py | 2,914 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pygame.init",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pygame.font.init",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pygame.font",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "pygame.display.set_mode",
... |
95299856 | import numpy as np
import matplotlib.pyplot as plt
import cs231n.classifiers.linear_classifier as linear_classifier
from cs231n.classifiers.data_util import init_train_data
from cs231n.classifiers.data_util import init_train_feature_data
def svm(normal = True):
if(normal):
x_train , y_train , x_val , y_val... | null | cs231n/classifiers/init.py | init.py | py | 2,286 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "cs231n.classifiers.data_util.init_train_data",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cs231n.classifiers.data_util.init_train_feature_data",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cs231n.classifiers.linear_classifier.LinearSVM",... |
93947431 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Feb 26 10:58:48 2020
@author: danbiderman
"""
import copy
import aesmc # note: imported from package
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
class Initial: # distribution for latents at t=0
def __init... | null | test/arm_models/moving_obj_1D.py | moving_obj_1D.py | py | 16,846 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torch.distributions.Normal",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "torch.distributions",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Module",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name... |
32020751 | import hashlib
from jinja2 import Template
from django.core.mail import send_mail
from multiprocessing import Process
from threading import Thread
class QueueThread(Thread):
def run(self):
while len(MessageQueue.queue) > 0:
MessageQueue.queue[0].start()
MessageQueue.queue[0].join(... | null | Solutions/Task3/853506_Karpyza_Andrey/DjangoChat/MessageProcessing.py | MessageProcessing.py | py | 1,621 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "threading.Thread",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "jinja2.Template",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "hashlib.sha1",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Process"... |
185092424 | # imports
#############################################################
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
import numpy as np
from Bio import SeqIO
import plotly.plotly as py
import plotly.graph_objs as go
# load and manipulate dataframe
##########################################... | null | sequence_analysis/prelim_fitness.py | prelim_fitness.py | py | 3,083 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.read_csv",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.NaN",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "numpy.NaN",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "Bio.SeqIO.read",
"l... |
596558795 | import pygame
import os
from settings import settings
from settings.enums import Colors, BiomesTypes
import math
class DisplayManager:
def __init__(self):
self.screen = None
self._negativImgs = {}
self._imgs = {}
self._baseH = 0
def init(self):
self.flags = pygame.DO... | null | modules/displayManager.py | displayManager.py | py | 3,066 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pygame.DOUBLEBUF",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "pygame.display.init",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "setting... |
606370776 | # -*- coding: utf-8 -*-
import os
import time
from fabric.api import local, run, cd
from fabric import colors
from fabric.context_managers import settings
from fabric.contrib.console import confirm
from fabric.contrib import django
from fabric.contrib.files import exists
from fabric.utils import abort
from fabric.oper... | null | django_fabric/base.py | base.py | py | 6,326 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "fabric.contrib.django.project",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "fabric.contrib.django",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "fabric.api.run",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "fa... |
50191612 | # -*- coding: utf-8 -*-
# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://doc.scrapy.org/en/latest/topics/item-pipeline.html
from scrapy.exceptions import DropItem
class BookPipeline(object):
review_rating_map = {
'One': '1/5',
'Tw... | null | toscrape_book/toscrape_book/pipelines.py | pipelines.py | py | 850 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "scrapy.exceptions.DropItem",
"line_number": 25,
"usage_type": "call"
}
] |
47854336 | import re
import struct
from hashlib import sha256
from io import BytesIO
from typing import Callable, Dict, Optional, cast
from zipfile import ZipFile
import chardet # type: ignore
import magic as pymagic # type: ignore
from karton.core import Config, Karton, Task
from karton.core.backend import KartonBackend
from... | null | karton/classifier/classifier.py | classifier.py | py | 21,321 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "zipfile.ZipFile",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "io.BytesIO",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "zipfile.filelist",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "typing.Optional",
... |
563987021 | from datetime import datetime
from jedi.libs.cache.redis import rd
from jedi.libs.cache.redis import ZRANGEBYSCORE_MAX
from jedi.libs.mq.consts import WorkerSignal
from jedi.libs.db.store import db
from jedi.libs.sentry.client import client
from jedi.libs.course import get_all_lesson_ids
from jedi.libs.course import ... | null | jedi/jedi/models/learningprogress/scheduler.py | scheduler.py | py | 6,973 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "jedi.libs.cache.redis.rd.delete",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "jedi.libs.cache.redis.rd",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "jedi.libs.cache.redis.rd.zcard",
"line_number": 49,
"usage_type": "call"
},
... |
316926878 | import graphene
from graphene_django import DjangoObjectType
from graphql_api import models
class User(DjangoObjectType):
class Meta:
model = models.User
class Post(DjangoObjectType):
class Meta:
model = models.Post
class UserInput(graphene.InputObjectType):
name = graphene.String()
clas... | null | social_media_graphql_api/schema.py | schema.py | py | 2,191 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "graphene_django.DjangoObjectType",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "graphql_api.models.User",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "graphql_api.models",
"line_number": 7,
"usage_type": "name"
},
{
"api... |
221019081 | import logging
from pyppeteer import launch
from sites.base import BaseSite
from sites.glasswall import Glasswallsolutions
from helper import Helper
log = logging.getLogger("GW:traffic_g")
class TrafficGenerator:
Allowed_Sites = {"glasswallsolutions.com": Glasswallsolutions}
@staticmethod
def get_site(... | null | upwork-devs/ashish-belwase/traffic_generator.py | traffic_generator.py | py | 1,142 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sites.glasswall.Glasswallsolutions",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "helper.Helper.get_domain_from_url",
"line_number": 16,
"usage_type": "call"
},
{
... |
418067829 | from django.core.management.base import BaseCommand, CommandError
from django.conf import settings
from django.core.mail import send_mail
import datetime
from django.db import connection #for custom sql
from django.template.loader import render_to_string
from access.models import SendDailyEmail
# this helper function ... | null | src/students/management/commands/attendance_status_email.py | attendance_status_email.py | py | 6,362 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 37,
"usage_type": "name"
},
{
"api_name": "datetime.date.today",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 39,
"usage_type": "attribute"
},
{
"ap... |
552132523 | import requests
from bs4 import BeautifulSoup as bs
import json
import os
solved = {}
solved_list = os.listdir('../boj')
for i in solved_list:
solved[i[:i.find('.')]] = 1
with open('boj_random.txt', 'rt') as f:
random = f.read().splitlines()
for i in random:
solved[i] = 1
r = requests.get('https://www.a... | null | TODO/upd.py | upd.py | py | 666 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.listdir",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 18,
"usage_type": "call"
}
] |
502327838 | import copy
import functools
import itertools
import math
import random
from sklearn import datasets
__all__ = ['check_estimator']
def make_random_features(model, n_observations, n_features):
for _ in range(n_observations):
yield {i: random.random() for i in range(n_features)}
def make_random_targets... | null | creme/utils/estimator_checks.py | estimator_checks.py | py | 6,123 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "random.random",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "random.random",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "functools.partial",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "random.choice",
... |
377523859 | #THIS PROGRAM DECRYPTS THE INPUT FILE
from tqdm import tqdm
import os
#GLOBAL VARIBLE
position=0
#FUNCTION THAT READS THE FILE
def read_file(location_of_file):
with open(location_of_file,'r') as f:
Compute_Data(f.readlines())
print('Decryption Succssfull :)')
#FUNCTION CHANGES FILE... | null | Decrypt.py | Decrypt.py | py | 1,544 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "tqdm.tqdm",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.remove",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "os.rename",
"line_number": 58,
"usage_type": "call"
}
] |
169945570 | # Python code to demonstrate table creation and
# insertions with SQL
# importing module
import sqlite3
# connecting to the database
connection = sqlite3.connect("myTable.db")
# cursor
crsr = connection.cursor()
# SQL command to insert the data in the table
sql_command = """INSERT INTO stude... | null | test.py | test.py | py | 746 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sqlite3.connect",
"line_number": 8,
"usage_type": "call"
}
] |
330383229 | from django.dispatch import receiver
from django.db.models.signals import post_save
from .. import models
# 获取随机字符串（24位大小英文字母加数字的组合）
from django.utils.crypto import get_random_string
@receiver(post_save, sender=models.Survey)
def create_unique_code_handler(sender, **kwargs):
print('接收信号')
print(sender)
pr... | null | app/signals/app.py | app.py | py | 1,252 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.utils.crypto.get_random_string",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "django.dispatch.receiver",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.db.models.signals.post_save",
"line_number": 8,
"usage_type": "argum... |
515804936 | from __future__ import print_function
from keras import losses
from keras import Sequential
from keras.layers import Dense, Dropout
from keras.callbacks import ModelCheckpoint, EarlyStopping, CSVLogger
from sklearn.metrics import mean_absolute_error
from util.dataset import load_data_with_sentences_single_flag, l... | null | sim_mlp.py | sim_mlp.py | py | 2,259 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "keras.Sequential",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "keras.layers.Dense",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "keras.layers.Dense",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "keras.layers.D... |
606110572 | import bs4
import requests
conjOpt = {
"present": 0,
"cat_a": 1,
"cat_b": 2,
"cat_c": 3,
"past_tense": 4,
"cat_d": 0,
}
def conj_verb(verb):
api = f"https://leconjugueur.lefigaro.fr/french/verb/{verb}.html"
page = requests.get(api)
status = page.status_code
if status != 200:
return f"ERROR: {status}"
dom... | null | main.py | main.py | py | 835 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 19,
"usage_type": "call"
}
] |
448592085 | import warnings
import numpy as np
import pandas as pd
from sklearn.datasets import load_boston
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LinearRegression
from sklearn.metrics import mean_squared_error, mean_absolute_error
from sklearn.preprocessing import StandardScaler
fro... | null | linear_regression_boston.py | linear_regression_boston.py | py | 13,400 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sklearn.datasets.load_boston",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": ... |
271926007 | from django.contrib import admin
from django.urls import path, include
from django.conf.urls.static import static
from django.conf import settings
from member.views import *
urlpatterns = [
path('', HotListView.as_view(), name='home'),
path('jet/', include('jet.urls','jet')),
path('jet/dashboard/', includ... | null | config/urls.py | urls.py | py | 955 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.urls.include",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.urls.path... |
584474338 | from __future__ import print_function
from apiclient.discovery import build
from apiclient import errors
from httplib2 import Http
from oauth2client import file, client, tools
from flask import Flask, render_template, redirect
# from utils import Service, encode_image
import base64
from flask import make_response, re... | null | flaskapp.py | flaskapp.py | py | 15,727 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.dirname",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "flask.Flask",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_... |
261794183 | #!/usr/bin/env python
from __future__ import absolute_import
from __future__ import print_function
import logging
import os
import sys
import re
from argparse import ArgumentParser
from commcare_cloud.environment.paths import get_available_envs
sys.path.append(os.path.dirname(os.path.dirname(__file__))) # this lets... | null | fab/fab/etc_hosts.py | etc_hosts.py | py | 2,758 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.path.append",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_num... |
567928939 | """
Remove Dups
Write code to remove duplicates from unsorted linked list.
How would you solve this problem if a temporary buffer is not allowed?
"""
from data import Node
def buffer_solution(linked_list):
seen = {}
node = linked_list
prev = None
while node:
if node.val in seen:
... | null | python/linked_lists/question_2_1.py | question_2_1.py | py | 1,164 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "data.Node",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "data.Node",
"line_number": 52,
"usage_type": "call"
}
] |
159464825 | from django.contrib.auth.decorators import login_required
from django.http import HttpResponse
from django.shortcuts import render
from django.urls import reverse
from django.utils.decorators import method_decorator
from django.views import View
from tasks.forms import TaskForm
from tasks.models import Task
@login_r... | null | src/tasks/views.py | views.py | py | 3,132 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "tasks.forms",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "tasks.models.Task.objects.select_related",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "tasks.models.Task.objects",
"line_number": 20,
"usage_type": "attribute"
},
{
... |
229221685 | from django.shortcuts import render_to_response
from django.template import RequestContext
from django.contrib.auth import authenticate, login
from django.http import HttpResponseRedirect, HttpResponse
from django.core.urlresolvers import reverse
from django_hello_world.hello.models import Person, Request
from django_h... | null | django_hello_world/hello/views.py | views.py | py | 3,395 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django_hello_world.hello.models.Person.objects.get",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django_hello_world.hello.models.Person.objects",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "django_hello_world.hello.models.Person",
... |
618593416 | from flask import jsonify, request
from flask_restful import abort, Resource
from data import db_session
from data.users import User
from api.user_parser import parser
def abort_if_user_not_found(user_id):
session = db_session.create_session()
user = session.query(User).get(user_id)
if not user:
... | null | api/users_resource.py | users_resource.py | py | 2,780 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "data.db_session.create_session",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "data.db_session",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "data.users.User",
"line_number": 11,
"usage_type": "argument"
},
{
"api_name": "fl... |
545221073 | #!/usr/bin/env python
# -*- coding:utf-8 -*-
# @CreationDate: 2021-01-29 23:59:51
# @Author: xiaochuan
# @Description: 433. 最小基因变化
from typing import List
class Solution:
def minMutation(self, start: str, end: str, bank: List[str]) -> int:
# 双向bfs
# 预处理
if end not in bank:
ret... | null | Week_07/双向BFS 433. 最小基因变化.py | 双向BFS 433. 最小基因变化.py | py | 1,096 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "typing.List",
"line_number": 11,
"usage_type": "name"
}
] |
376058392 | #!/usr/bin/python2
# -*- coding: utf-8 -*-
from pyspark import SparkContext
from pyspark.sql import SparkSession
from pyspark.sql.functions import to_date, to_timestamp,months_between,current_timestamp,date_format,datediff
#获得数据
spark = SparkSession.builder.master("local[4]").appName("pssql03").getOrCreate()
df =... | null | N&E local/3.py | 3.py | py | 1,138 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pyspark.sql.SparkSession.builder.master",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.SparkSession.builder",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "pyspark.sql.SparkSession",
"line_number": 9,
"usage_type": "n... |
535820437 | from collections import deque
# Definition for singly-linked list.
class ListNode:
def __init__(self, val=0, next=None):
self.val = val
self.next = next
class Solution:
def removeNthFromEnd(self, head: ListNode, n: int) -> ListNode:
stack = deque()
node = head
while no... | null | medium/RemoveNthNode.py | RemoveNthNode.py | py | 570 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "collections.deque",
"line_number": 12,
"usage_type": "call"
}
] |
548267451 | import tkinter
from tkinter.filedialog import askopenfilename
import os
import queue
import sys
import threading
import math
import time
import pyaudio
import wave
from sklearn.cluster import KMeans
import hmmlearn.hmm
import numpy as np
import pickle
import librosa
import sounddevice as sd
import soundfile as sf
RE... | null | app.py | app.py | py | 7,357 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pyaudio.paInt16",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "queue.Queue",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "librosa.load",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "math.floor",
"line_... |
653611162 | import demjson
import argparse
import sys
from math import pi, sin, cos, acos
# The global average radius of the Earth in kilometers
EARTH_RADIUS_KM = 6371
# Default values for command line arguments (default is 100km from SF Financial District)
CUSTOMER_LIST_FILE_NAME = 'Customer List.txt'
DISTANCE_TO_CENTER = 100
C... | null | nearby_customers.py | nearby_customers.py | py | 3,998 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "math.pi",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "math.sin",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "math.cos",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "math.acos",
"line_number": 30,
"usa... |
125448378 | import os, inspect
currentdir = os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe())))
parentdir = os.path.dirname(os.path.dirname(currentdir))
os.sys.path.insert(0,parentdir)
import pybullet_envs
from datetime import datetime, time
from baselines.common import tf_util as U
from baselines import log... | null | testAgent.py | testAgent.py | py | 1,268 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.dirname",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "inspect.getfile",
"line... |
345749178 | from Environment import Environment
from Memory import ReplayMemory
from collections import deque
from config import CFG
from utils import Transition
import torch
import torch.multiprocessing as mp
import math
import random as rd
import numpy as np
import os
device = torch.device("cuda")
mp.set_start_method('spawn', ... | null | Actor.py | Actor.py | py | 5,608 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torch.device",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.multiprocessing.set_start_method",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.multiprocessing",
"line_number": 15,
"usage_type": "name"
},
{
"api_nam... |
588363981 | import numpy as np
import timeit
from mpl_toolkits.mplot3d import Axes3D
from matplotlib import pyplot as plt
from matplotlib import animation
# Constants
LX = 4
LY = 1
A = 1
# Number of grid nodes per time and space variables
K_big = 100
I_big = 100
ANIMATION_TIME_STEPS = 100
def __plot_2d(x_sp, y_sp, t, figname,... | null | equations/numerical_solution.py | numerical_solution.py | py | 5,105 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.subplot",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "... |
603380181 | """
Service class
------------------
Service object for interfacing with the Project Service API.
"""
import time
import os
from typing import Optional, List, Union, Dict
from ...services import BaseService
from ...client import Client
from ...exceptions import NotFound, ServerError
from .exceptions import ProjectErr... | null | nextcode/services/project/service.py | service.py | py | 12,632 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "services.BaseService",
"line_number": 38,
"usage_type": "name"
},
{
"api_name": "client.Client",
"line_number": 47,
"usage_type": "name"
},
{
"api_name": "os.environ.get",... |
359684312 | # -*- coding: utf-8 -*-
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from django.contrib.auth.models import AbstractUser
from django.db import models as db
from django.utils.translation import ugettext_lazy as _
f... | null | src/ralph_scrooge/models/owner.py | owner.py | py | 4,189 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.contrib.auth.models.AbstractUser",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "django.utils.translation.ugettext_lazy",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "django.utils.translation.ugettext_lazy",
"line_number": 22,
... |
549296532 | # vim: tabstop=4 shiftwidth=4 softtabstop=4
# Copyright 2013 OpenStack Foundation
#
# 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
#
# Unle... | null | keystone/source/keystone/keystone/tests/test_v3_credential.py | test_v3_credential.py | py | 4,965 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "keystone.tests.test_v3.RestfulTestCase",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "keystone.tests.test_v3",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "uuid.uuid4",
"line_number": 30,
"usage_type": "call"
},
{
"api... |
424674803 | from datetime import datetime, timedelta
from django.db.models import Q
from django.utils import timezone
from .models import (
Person,
Membership,
Settings,
Subscription,
Invoice,
InvoiceItem,
InvoiceQuery,
Payment,
Refund,
Enquiry,
)
from django_filters import Filter, FilterSet... | null | members/filters.py | filters.py | py | 10,197 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "models.Settings.current_year",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "models.Settings",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "django_filters.FilterSet",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": ... |
537634904 | """
Unit tests specifically for 1.0.0-style DataCube
"""
import pathlib
import sys
import textwrap
import pytest
import shapely.geometry
import openeo.metadata
from openeo import UDF
from openeo.api.process import Parameter
from openeo.internal.graph_building import PGNode
from openeo.internal.process_graph_visitor... | null | tests/rest/datacube/test_datacube100.py | test_datacube100.py | py | 48,994 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "openeo.rest.datacube.DataCube",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "pytest.warns",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "openeo.rest.connection.Connection",
"line_number": 76,
"usage_type": "name"
},
{
"api_... |
351001406 | import pytest
from search import binary_search, linear_search
@pytest.mark.parametrize("list_,item,expected,algorithm", [
([1, 2], 2, 1, linear_search),
([1, 2, 3, 4], 3, 2, linear_search),
([1, 2, 3], 1, 0, linear_search),
([1], 1, 0, linear_search),
([1, 2], 2, 1, binary_search),
([1, 2, 3,... | null | algorithms/test_search.py | test_search.py | py | 869 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pytest.mark.parametrize",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "search.linear_search",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "search.lin... |
502233741 | # custom module imports
import match
# library imports
from bs4 import BeautifulSoup
import requests
import sys
import math
import logging
from datetime import datetime as dt
from datetime import timedelta
class Bookmaker(object):
def __init__(self):
self.base_url = 'https://www.bookmaker.eu/live-lines/... | null | scrapers/bookmaker.py | bookmaker.py | py | 2,900 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "requests.exceptions",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
... |
213744401 | # Copyright 2012 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... | null | tools/gcutil/gcutil-1.7.2/lib/google_compute_engine/gcutil/kernel_cmds.py | kernel_cmds.py | py | 2,580 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "gflags.FLAGS",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "gcutil.command_base.GoogleComputeCommand",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "gcutil.command_base",
"line_number": 30,
"usage_type": "name"
},
{
... |
533531322 | from dragon import source_datas
from dragon import export
from config.myconfig import singleton_cfg
from db import request_db_data
def main():
today_date = singleton_cfg.getRaceDate()
print('Today=>', today_date)
immd_info_dict = request_db_data.RequestImmdLatestRows(today_date) # race_date_No &... | null | 20190902/futureData_model4/dragon/dragon.py | dragon.py | py | 8,417 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "config.myconfig.singleton_cfg.getRaceDate",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "config.myconfig.singleton_cfg",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "db.request_db_data.RequestImmdLatestRows",
"line_number": 10,
"usag... |
259578261 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
# Correction: Projet_evaluation
# In[2]:
# 1. Ecrire une fonction python r_names() qui admet pour entrer une de ces chaînes de
#caractères et qui retourne une liste de nom de colonnes.
# In[5]:
from re import sub #sub: fonction de substitution
# In[6]:
na... | null | Correction/Partie_1_correction_question_1_2_6.py | Partie_1_correction_question_1_2_6.py | py | 4,563 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sqlalchemy.create_engine",
"line_number": 113,
"usage_type": "call"
},
{
"api_name": "pandas.read_excel",
"line_number": 124,
"usage_type": "call"
}
] |
310466912 | """
Built-in, globally-available admin actions.
"""
from django.core.exceptions import PermissionDenied
from django.contrib import messages
from django.contrib.admin import helpers
from django.contrib.admin.util import model_ngettext
from django.db import router
from django.template.response import TemplateResponse
fr... | null | pbs/prescription/actions.py | actions.py | py | 5,891 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.core.exceptions.PermissionDenied",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "django.db.router.db_for_write",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "django.db.router",
"line_number": 37,
"usage_type": "name"
},
{... |
203290766 | import math
from wpilib import SmartDashboard as Dash
from wpilib.command import Command
from constants import Constants
from subsystems import drive
from utils import pid, units
import odemetry
import wpilib
class TurnToAngle(Command):
def __init__(self, setpoint, relative=False):
super().__init__()
... | null | src/commands/turntoangle.py | turntoangle.py | py | 2,088 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "wpilib.command.Command",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "subsystems.drive.Drive",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "subsystems.drive",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "odemet... |
130440308 | """
Sonar.
Copyright (c) 2014 Grant Jenks
http://www.grantjenks.com/
Exercises
1. Increase the number of targets to 10.
2. How would you create a computer player?
3. How would moving targets change things?
"""
import sys, pygame, random
from pygame.locals import *
pygame.init()
width = 800
screen = pygame.display.... | null | sonar.py | sonar.py | py | 2,052 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pygame.init",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "pygame.font.F... |
222393713 | # -*- coding:utf-8 -*-
# Copyright (c) 2012 theo crevon
#
# See the file LICENSE for copying permission.
import sys
import logging
def loglevel_from_str(log_level_str):
log_level_str = log_level_str.upper()
numeric_level = getattr(logging, log_level_str, None)
if not isinstance(numeric_level, int):
... | null | elevator/log.py | log.py | py | 1,639 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.Formatter",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "logging.StreamHandler",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "logging.FileH... |
215476008 | import os
import simplejson
import commonware.log
from django.conf import settings
from django.contrib.auth.decorators import user_passes_test
from django.http import HttpResponse
from django.shortcuts import render_to_response
from django.template import RequestContext, loader
from django.views.debug import get_safe_... | null | apps/base/views.py | views.py | py | 4,339 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "commonware.log.log.getLogger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "commonware.log.log",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "commonware.log",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "d... |
552609321 | """Automatic test of the *transpose conjecture*.
It checks whether CTM values are transpose invariant.
This test is slow.
"""
import pytest
from pytest import approx
import numpy as np
from bdm.encoding import decode_array
@pytest.mark.slow
def test_transpose_conjecture(bdm_d2):
for i in range(2**16):
ar... | null | test/test_theory.py | test_theory.py | py | 864 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "bdm.encoding.decode_array",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pytest.approx",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "bdm.encoding... |
212216922 | #!python
# coding=utf-8
import base64
import operator
import itertools
import simplejson as json
import numpy as np
import netCDF4 as nc4
from . import logger
def all_subclasses(cls):
""" Recursively generate of all the subclasses of class cls. """
for subclass in cls.__subclasses__():
yield subclas... | null | pocean/utils.py | utils.py | py | 5,267 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "builtins.map",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "operator.itemgetter",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "itertools.groupby",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.issubdtype",... |
584662148 | # -*- coding: utf-8 -*-
"""
Created on Thu Aug 16 14:21:23 2018
@author: henri
Script for Plotting some results
"""
import pandas as pd
import matplotlib.pyplot as plt
from pandas import Series
from sklearn.preprocessing import MinMaxScaler
import numpy as np
from sklearn.model_selection import train... | null | DS1/HI_pred.py | HI_pred.py | py | 5,807 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.read_csv",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
... |
388509213 | from flask import Flask
from flask import flash, redirect, render_template, request, session, abort, url_for
from flask_sqlalchemy import SQLAlchemy
from flask_admin import Admin
from flask_admin.contrib.sqla import ModelView
import random
import os
# from flask.ext.login import LoginManager
# for datetime
from dateti... | null | app.py | app.py | py | 12,089 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.urandom",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "flask_sqlalchemy.SQLAlchemy",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "flask_admin.Admin"... |
324886375 | from . import v2
from flask import request, abort
from ..app import logger
import xmltodict
from collections import OrderedDict
from ..app import pbx
from flask import current_app as app
def _convert_v3_response_to_v2(pbx_name, termtype, command, v3_response):
"""
Convert the v3 response to the legacy v2 xml ... | null | pbxd/v2/views.py | views.py | py | 2,820 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "app.logger.debug",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "app.logger",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "collections.OrderedDict",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "collections.Order... |
368136523 | import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import gym
import dill
from transfer import Tabular
import seaborn as sns
from scipy.misc import logsumexp
if __name__=='__main__':
rng = np.random.RandomState(1234)
env = gym.make('Fourrooms-v0')
features = Tabular(env.observation_spac... | null | fourrooms/show_actions.py | show_actions.py | py | 2,186 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.random.RandomState",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "gym.make",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "transfer.Tabular"... |
192956080 | from direct.distributed.DistributedSmoothNode import DistributedSmoothNode
from direct.distributed.DistributedObjectOV import DistributedObjectOV
from pandac.PandaModules import *
from direct.actor.Actor import Actor
import Globals
class TagAvatar(DistributedSmoothNode):
paintTs = None
def __init__(self, cr, ... | null | TagAvatar.py | TagAvatar.py | py | 14,977 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "direct.distributed.DistributedSmoothNode.DistributedSmoothNode",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "direct.distributed.DistributedSmoothNode.DistributedSmoothNode.__init__",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "direct.dist... |
474777582 | from OpenGL.GL import *
from OpenGL.GLUT import *
from random import random
import ctypes
import time
from PIL import Image
import pygame
import numpy
# Треугольники во весь экран
point_vertex1 = [[1.0, -1.0, 0.0], [1.0, 1.0, 0], [-1.0, -1.0, 0]]
point_vertex2 = [[-1.0, 1.0, 0.0], [-1.0, -1.0, 0], [1.0, 1.0, 0]]
xOrig... | null | shader3.py | shader3.py | py | 8,093 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "PIL.Image.open",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.int8",
"line_number": ... |
414731245 | # -*- coding: utf-8 -*-
"""
Created on Wed Nov 4 17:58:11 2020
@author: Jordan
"""
import requests
import PyQt5.QtWidgets as Widgets
import pandas as pd
import numpy as np
a = requests.get('https://raw.githubusercontent.com/plotly/plotly.js/master/dist/plot-schema.json').json()
# types = {'boolean':Widgets.QCheckB... | null | Fun_Stuff/PlotlyAttrs.py | PlotlyAttrs.py | py | 2,525 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 13,
"usage_type": "call"
}
] |
117121787 | import numpy as np
import torch as t
import torch.optim as optim
from agents.BaseAgent import BaseAgent
from module.network_bodies import AtariBody
from module.networks import DQN
from utils.hyperparameters import Config
from utils.replay_memory import PrioritizedReplayMemory
cfg = Config()
class Model(BaseAgent):
... | null | agents/DDQNPriorityReplay.py | DDQNPriorityReplay.py | py | 10,146 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "utils.hyperparameters.Config",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "agents.BaseAgent.BaseAgent",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "torch.optim.Adam",
"line_number": 43,
"usage_type": "call"
},
{
"api_name... |
305958428 | import sqlalchemy as sa
conn = sa.create_engine('sqlite:///books.db')
rows = conn.execute('SELECT title FROM book ORDER BY title')
for row in rows:
print(row)
#
# result
#
# ('Perdido Street Station',)
# ('Small Gods',)
# ('The Spellman Files',)
# ('The Weirdstone of Brisingamen',)
# ('Thud!',)
| null | ch08/ex10/main.py | main.py | py | 304 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sqlalchemy.create_engine",
"line_number": 3,
"usage_type": "call"
}
] |
442285708 | from scrapy import signals
from scrapy.exporters import CsvItemExporter
class DouJobsPipeline(object):
@classmethod
def from_crawler(cls, crawler):
pipeline = cls()
crawler.signals.connect(pipeline.spider_opened, signals.spider_opened)
crawler.signals.connect(pipeline.spider_closed, si... | null | dou_jobs/pipelines.py | pipelines.py | py | 860 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "scrapy.signals.spider_opened",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "scrapy.signals",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "scrapy.signals.spider_closed",
"line_number": 10,
"usage_type": "attribute"
},
{
"... |
642973641 | from sklearn.datasets import load_digits
from sklearn.linear_model import Perceptron
import datetime
start = datetime.datetime.now()
X, y = load_digits(return_X_y=True)
clf = Perceptron(tol=1e-3, random_state=0)
clf.fit(X, y)
clf.score(X, y)
#accuracy
end = datetime.datetime.now()
print (end-start)
#running time
| null | proj3/perceptron.py | perceptron.py | py | 314 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "datetime.datetime.now",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "sklearn.datasets.load_digits",
"line_number": 5,
"usage_type": "call"
},
{
"api_name":... |
209749682 | from collections import namedtuple
import sqlite3
# make a basic Link class
Link = namedtuple('Link', ['id', 'submitter_id', 'submitted_time', 'user_question',
'guru_advice', 'type'])
# list of user queries for QnA (Question and Advice Module)
qna_data = [
Link(0, 60398, 1334014208.0,
... | null | normal_usr_module/QnA_module.py | QnA_module.py | py | 4,182 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "collections.namedtuple",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 63,
"usage_type": "call"
}
] |
52677892 | #!/usr/bin/env python3.6
# -*- coding: utf-8 -*-
# BamboBot by Krystian Spandel
# Much code from GetBeaned discord bot
version = 'v3.0.0'
print("Loading...")
# Importing the discord API warpper
print("Loading discord...")
import discord
# Load some essentials modules
print("Loading traceback...")
print("Loading c... | null | bot.py | bot.py | py | 2,638 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "cogs.helpers.init_logger.init_logger",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "asyncio.set_event_loop_policy",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "uvloop.EventLoopPolicy",
"line_number": 41,
"usage_type": "call"
},
... |
428315283 |
# coding: utf-8
# In[1]:
import findspark
findspark.init()
import pyspark
# In[2]:
from pyspark.sql import SparkSession
spark = SparkSession.builder.master("local").appName("CTR Models").config(
"spark.executor.memory", "8g").config(
"spark.driver.memory", "15g").getOrCreate()
# In[3]:
from pyspark... | null | spark_selection.py | spark_selection.py | py | 3,584 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "findspark.init",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.SparkSession.builder.master",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.SparkSession.builder",
"line_number": 17,
"usage_type": "attribute"
}... |
491480425 | # -*- coding: utf-8 -*-
from numpy import uint32,uint16,uint8,float16
from pandas import read_csv
from yaml import dump,load
from collections import defaultdict
def load_geo_csv(path):
"""Imports csv into pandas DataFrame
default dtypes:
- 'user':uint32
- 'id':uint32
- 'place_asked':uint16
... | null | inputoutput.py | inputoutput.py | py | 2,035 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.uint32",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "numpy.uint16",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "numpy.float16",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "numpy.uint8",
"line_numbe... |
433249073 | # Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by app... | null | parl/core/fluid/agent.py | agent.py | py | 7,244 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "warnings.simplefilter",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "parl.core.agent_base.AgentBase",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "parl.core.fluid.algorithm.Algorithm",
"line_number": 74,
"usage_type": "argument"
... |
516944928 | #!/usr/bin/python3
import sys
import json
from es2json import ArrayOrSingleValue, eprint,litter,isint
from pymarc import MARCReader
from six.moves import zip_longest as izip_longest
def transpose_to_ldj(record):
json_record={}
json_record['_LEADER'] = record.leader
json_record['_FORMAT'] = "MarcXchange"
... | null | helperscripts/marc2jsonl.py | marc2jsonl.py | py | 1,579 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "es2json.isint",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "six.moves.zip_longest",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pymarc.MARCReader",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "sys.stdin.buffe... |
482955197 | from sklearn.feature_extraction.text import TfidfTransformer
from sklearn.feature_extraction.text import CountVectorizer
import numpy as np
import random
import pickle
import argparse
parser = argparse.ArgumentParser(description='Process some integers.')
parser.add_argument('--stopwords_dir', default="data/stopwords-... | null | image_lookup.py | image_lookup.py | py | 4,642 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "random.seed",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.random.seed",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.random",
... |
473868660 | """ This comannd create permission and add to existent group for User model """
# for existent groups list refer to ddws/hardcode.py - look at specific group
#
# syntax: python3 manage.py new_permission_to_group -g promo --permission can_hoax --text "Can hoax"
# python3 manage.py new_permission_to_group -... | null | ddws/ddgui/management/commands/new_permissions_to_group.py | new_permissions_to_group.py | py | 1,802 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "django.contrib.auth.models.Group.objects.get",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.models.Group.objects",
"line_number"... |
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