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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
461701069 | from django.contrib.auth.tokens import default_token_generator
from django.core import mail
from rest_framework import status, viewsets
from rest_framework.decorators import action, api_view
from rest_framework.permissions import IsAuthenticated
from rest_framework.response import Response
from rest_framework_simplejwt... | null | users/views.py | views.py | py | 2,744 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "rest_framework.viewsets.ModelViewSet",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.viewsets",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "models.User.objects.all",
"line_number": 17,
"usage_type": "call"
},
... |
95814644 |
#---------------------------------------------------------------------
# Basic ePub reader written in Python, using wxPython for the GUI
# Author: Michael Stover
#
# Status: Work in Progress
# To-Do:
# - Add function that places images into memory
# - Add function for placing CSS files into memory
# - Add fu... | null | eReader.py | eReader.py | py | 7,332 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "wx.html",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "wx.html.HtmlWindow.__init__",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "wx.html",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "wx.PlatformInfo... |
166665161 | import rubrik_oracle_module as rbk
import click
import datetime
import pytz
import json
@click.command()
@click.argument('host_cluster_db')
@click.argument('target_host')
@click.option('--time_restore', '-t', type=str, help='Point in time to mount the DB, iso format is YY:MM:DDTHH:MM:SS example 2019-01-01T20:30:15')
... | null | rubrik_oracle_db_mount.py | rubrik_oracle_db_mount.py | py | 2,757 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "rubrik_oracle_module.connect_rubrik",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "rubrik_oracle_module.get_cluster_info",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "rubrik_oracle_module.get_oracle_db_id",
"line_number": 31,
"usa... |
645904433 | # -*- coding: utf-8 -*-
from django.contrib.auth import login,logout,authenticate,get_user_model
from django.views.decorators.http import require_POST
from django.http import HttpResponse,JsonResponse
from .forms import LoginForm,RegisterForm,ChangeUserForm
from utils import restful
from django.shortcuts import render,... | null | apps/xfzauth/views.py | views.py | py | 4,091 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.contrib.auth.get_user_model",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "forms.LoginForm",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.authenticate",
"line_number": 24,
"usage_type": "call"
},
{
... |
56017380 | import os
import random
import cv2
import numpy as np
from mobilenetv2 import train_L2
import test_Predict_keras
from test_Predict_tflite import tflite_predition
import argparse
''' This project utilize to classify the automative spare parts images whether spare part is "Healthy" or "Defected".
Main logics is in the m... | null | main.py | main.py | py | 5,149 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.listdir",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 33... |
78972637 | from django.conf import settings
from django.contrib.auth.models import AbstractUser
from django.contrib.auth.models import UserManager as AuthUserManager
from django.contrib.auth.signals import user_logged_in
from django.core.mail import send_mail
from django.db.models.signals import post_save
from django.db import mo... | null | models.py | models.py | py | 1,966 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.contrib.auth.models.UserManager",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.contrib.auth.models.AbstractUser",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 17,
"usage_typ... |
218548589 | import sqlite3
# Setting up the database
def connect():
con = sqlite3.connect("movies.db") # reaching for 'movies' database using sqlite3.connection
cur = con.cursor() # using .cursor we can write commands in sql to our database
cur.execute("CREATE TABLE IF NOT EXISTS movies (ID INTEG... | null | Application 5 - Desktop Database App/Movies/app5_backend.py | app5_backend.py | py | 2,150 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sqlite3.connect",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
... |
603776291 | import sys
from time import sleep
import pygame
from bullet import Bullet
from alien import Alien
def check_events(ai_settings, screen, stats, play_button, ship, aliens,
bullets,sb):
"""响应按键和鼠标事件"""
for event in pygame.event.get():
if event.type == pygame.QUIT:
sb.dump_file()
sys.exit()
elif event.type =... | null | game_functions.py | game_functions.py | py | 7,629 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pygame.event.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pygame.event",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "pygame.QUIT",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"l... |
298704684 | #!/usr/bin/env python
'''
@author Luke Campbell <LCampbell@ASAScience.com>
@file ion/processes/data/replay/replay_process.py
@date 06/14/12 13:31
@description Implementation for a replay process.
'''
from pyon.core.exception import BadRequest, NotFound
from pyon.core.object import IonObjectDeserializer
from pyon.core.... | null | ion/processes/data/replay/replay_process.py | replay_process.py | py | 11,838 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "interface.services.dm.ireplay_process.BaseReplayProcess",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "pyon.core.object.IonObjectDeserializer",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "pyon.core.bootstrap.get_obj_registry",
"line_n... |
173229494 | # -*- coding: utf-8 -*-
import os
import json
import chardet
import urllib2
import common_operations as co
DEFAULT_HOSTS_FN = u"DEFAULT.hosts"
class Hosts(object):
CONFIG_FLAG = "#@SwitchHost!"
def __init__(self, index=0, path=None, icon_idx=0):
self.index = index
self.path = path
... | null | legacy/v1/libs/cls_Hosts.py | cls_Hosts.py | py | 3,162 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "common_operations.decode",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path.split",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "os.path.isfile",
... |
24096253 | import os
import pandas as pd
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
import config
from utils import figure_utils
from utils.typical_pair_utils import get_joint_plot_x_y
fontsize = 6
mpl.rcParams['font.size'] = fontsize
mpl.rcParams['lines.lin... | null | plotting_for_publication/supp_plot_example_cf_pd_joint.py | supp_plot_example_cf_pd_joint.py | py | 2,496 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "matplotlib.rcParams",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.rcParams",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.rcParams",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_na... |
207704944 | import os
import numpy as np
import sys
import urllib
import math
from pyspark import SparkConf
from pyspark.context import SparkContext
from pyspark.sql import SparkSession
from pyspark import SparkContext, SparkConf
sc = SparkContext.getOrCreate()
import re
from collections import Counter
from string import punctua... | null | gru/p1/naive_bayes.py | naive_bayes.py | py | 10,266 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pyspark.SparkContext.getOrCreate",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pyspark.SparkContext",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "re.sub",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "re.sub",... |
531398356 | """
* ProjectBio v1.0
* Copyright 2014-2015 Web2all.
* Licensed under Share2Create
* Author: Senthilkumar M <allaboutsenthil.appspot.com>
*/
"""
import jinja2
import os
import webapp2
from datetime import datetime
TEMPLATE_DIR = os.path.join(os.path.dirname(__file__), 'templates')
jinja_environment = \
jin... | null | main.py | main.py | py | 957 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.join",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "jinja2.Environment",
"l... |
286486033 | ##################################################################
# Experiments for event-enhanced knowledge graph embeddings
#
# How to run:
#
# To train the embeddings for a given knowledge graph and event dataset
# python ekl_experiment.py --dir 'path/to/dir' --...
# Up to now there is no flag to switch to GPU sup... | null | experiments/experiment_loop.py | experiment_loop.py | py | 19,069 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "prep.preprocessing.PreProcessor",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "rdflib.RDFS.comment",
"line_number": 60,
"usage_type": "attribute"
},
{
"api_name": "rdflib.RDFS",
"line_number": 60,
"usage_type": "name"
},
{
"api_name": "... |
554186201 | import pymongo
from pymongo import MongoClient
import datetime
import smtplib
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
from string import Template
MY_ADDRESS = "no-reply@quiz-me.co"
## Current template email could remove username or replace it with identikey
emailText = "He... | null | Email.py | Email.py | py | 2,493 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "smtplib.SMTP",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "email.mime.multipart.MIMEMultipart",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "email.mime.text.MIMEText",
"line_number": 26,
"usage_type": "call"
},
{
"api_name... |
342626607 | # Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
"""
Entrypoint utility for launching distributed torch jobs.
NOTE: All command line arguments are forwarded to the child script,
including those relevant to only this script. If the dependent script
uses argparse, then you can parse command l... | null | dist_run.py | dist_run.py | py | 4,163 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.getpid",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "os.kill",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "signal.SIGUSR1",
"line_number": 39,
"usage_type": "attribute"
},
{
"api_name": "signal.SIGUSR2",
"line_numb... |
299064716 | import nibabel as nib
import glob
import pandas as pd
import numpy as np
from nilearn import datasets as ds
from nilearn.image import resample_img
from nilearn.input_data import NiftiLabelsMasker
import psutil
from matplotlib import pylab as plt
import time
from nilearn.signal import clean
from nilearn import plotting,... | null | v0.1/lMCI/ADNI_lMCI_matrix_refactorized.py | ADNI_lMCI_matrix_refactorized.py | py | 23,183 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.random.seed",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "pandas.DataFrame.from_dict",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "pandas... |
419445144 | from typing import List, Union, Tuple
import numpy as np
import random
from tqdm import tqdm
class Variable:
def __init__(self, value=None, grad=None):
self.value = value
self.grad = grad
class Polynomial:
def __init__(self, a: List = None):
self.coef = np.array(a)
def __call... | null | libs/functional.py | functional.py | py | 2,287 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "typing.List",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "typing.Union",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number":... |
168255906 | from time import time, sleep
from enum import Enum
from sqlalchemy import update
from flask_sqlalchemy import SQLAlchemy
from celery import Celery
import matplotlib.pyplot as plt
import io
import http
import numpy as np
import redis
from helper import *
from forms import *
from models import *
# How ... | null | webapp/app.py | app.py | py | 12,512 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "celery.Celery",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "celery.conf.update",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "celery.conf",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "celery.task",
"... |
95173720 | import requests
from PIL import Image
import numpy as np
ENDPOINT_URL = "http://0.0.0.0:80/infer"
def infer():
image = np.asarray(Image.open('resources/yorkshire_terrier.jpg')).astype(np.float32)
data ={'image': image.tolist()}
response = requests.post(ENDPOINT_URL, json = data)
response.raise_for_sta... | null | 9. How to use uWSGI and Nginx to serve a Deep Learning model/app/client.py | client.py | py | 393 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.asarray",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "numpy.float32",
"line_number"... |
457015893 | #!/usr/bin/env python
# Copyright (c) 2014, Palo Alto Networks
#
# Permission to use, copy, modify, and/or distribute this software for any
# purpose with or without fee is hereby granted, provided that the above
# copyright notice and this permission notice appear in all copies.
#
# THE SOFTWARE IS PROVIDED "AS IS" A... | null | bin/lib/pandevice/pandevice/panorama.py | panorama.py | py | 4,741 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pandevice.base.base",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "pandevice.base",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "logging.getLogger",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "pandevice.b... |
21859955 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import postgres.fields
import decimal
import django.db.models.deletion
import django.core.serializers.json
class Migration(migrations.Migration):
dependencies = [
('contenttypes', '0002_remove_conten... | null | crawler/migrations/0001_initial.py | 0001_initial.py | py | 2,753 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.CreateModel",
"line_number": 18,
"usage_type": "call"
},
... |
121250594 | import logging
import re
from datetime import date
from marcottimls.etl.base import BaseCSV
from marcottimls.models import (Countries, Clubs, Competitions, DomesticCompetitions, InternationalCompetitions,
Seasons, CompetitionSeasons, Persons, Players, NameOrderType, PositionType,
... | null | marcottimls/etl/overview.py | overview.py | py | 11,271 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "marcottimls.etl.base.BaseCSV",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "marcottimls.models.Countries",
"line_number": 24,
"usage_type": "argument"
},
{
"a... |
124396611 | """
:py:mod:`pymco.listeners`
-------------------------
stomp.py listeners for python-mcollective.
"""
import functools
import threading
import time
from stomp import listener
class CurrentHostPortListener(listener.ConnectionListener):
"""Listener tracking current host and port.
Some connectors, like Active... | null | pymco/listener.py | listener.py | py | 3,180 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "stomp.listener.ConnectionListener",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "stomp.listener",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "stomp.listener.ConnectionListener",
"line_number": 47,
"usage_type": "attribute"
... |
260602147 | # -*- coding: utf-8 -*-
import dpkt,sys,json,time,socket
from collections import OrderedDict
# packets = {
# port_number: [
# { syn_flag_time: num, syn_flag_ack_time: num, delay: num },
# ...
# port_number: [ ... ],
# }
packets = OrderedDict()
MAIN_IP = "202.229.23.46"
before_ti... | null | calculate.py | calculate.py | py | 2,984 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "collections.OrderedDict",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "dpkt.pcap.Reader",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "dpkt.pcap",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "sys.stdin",
... |
541020941 | #!/usr/bin/env python3
# coding: utf8
import datetime
from collections import namedtuple
import cardiologs.common.model.wave as wave
import cardiologs.common.math.streamstatistics as cardiomath
def ms_to_secs(ms):
"""
Convert milliseconds to seconds
"""
return ms / 1000
def ms_to_days(ms):
"""... | null | cardiologs/measure.py | measure.py | py | 3,327 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "collections.namedtuple",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "... |
342113249 | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes ... | null | sdk/cognitiveservices/azure-cognitiveservices-language-textanalytics/azure/cognitiveservices/language/textanalytics/models/match_record_py3.py | match_record_py3.py | py | 2,003 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "msrest.serialization.Model",
"line_number": 15,
"usage_type": "name"
}
] |
651561274 | def load_data():
import pandas as pd
import os
import ujson
df = pd.read_csv('data/dataset_1/Video_Games_Sales_as_at_22_Dec_2016.csv')
#print df
#genres = df.transpose().groupby('Global_Sales')[['Action','Adventure','Fighting','Misc','Platform','Puzzle','Racing','Role-Playing','Shooter','Simulat... | null | gamedata.py | gamedata.py | py | 4,518 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pandas.read_csv",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "ujson.dumps",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "ujson.dumps",
"line_nu... |
206839824 | from tm1637 import TM1637
import RPi.GPIO as GPIO
import multiprocessing, time
class WorkoutBuddy():
REST_TIME = 90
CLK_PIN = 24
DIO_PIN = 23
INPUT_PIN = 17
MAX_SETS = 5
_time = 0
_set = 1
_thread = None
_tm = None
_gpio = None
# Debouncing
_accept_input = True
... | null | main.py | main.py | py | 1,870 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "RPi.GPIO.setmode",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "RPi.GPIO",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "RPi.GPIO.BCM",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "RPi.GPIO.setwarnings",
... |
287768271 | import sys, os, argparse
from os.path import join, isdir, isfile, split
sys.path.insert(0, 'caffe/python')
import caffe
from caffe import layers as L, params as P
from caffe.coord_map import crop
import numpy as np
from math import ceil
parser = argparse.ArgumentParser(description='Training hed.')
parser.add_argument('... | null | zeaky/model/h2.py | h2.py | py | 14,338 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.path.insert",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path.isdir",
... |
262500749 | # uncompyle6 version 3.6.7
# Python bytecode 2.7 (62211)
# Decompiled from: Python 3.8.2 (tags/v3.8.2:7b3ab59, Feb 25 2020, 23:03:10) [MSC v.1916 64 bit (AMD64)]
# Embedded file name: build/bdist.linux-x86_64/egg/pyp_beagle/beagle_pdf.py
# Compiled at: 2019-07-16 04:25:49
import logging, numpy as np, os, json
from matp... | null | pycfiles/pyq-4.2.1.tar/beagle_pdf.py | beagle_pdf.py | py | 8,269 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "json.load",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "collections.OrderedDict",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "collections.OrderedDict",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "astropy.io.... |
198475545 | """
This program is free software.
Feel free to fix, modify, or remake it.
https://github.com/lk-lkaz/ldr4pov
"""
import bpy
import math
import mathutils
from bpy.props import (
FloatProperty,
IntProperty,
EnumProperty,
)
... | null | ldr4pov_Tools_AssemblyAnimation.py | ldr4pov_Tools_AssemblyAnimation.py | py | 12,728 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "bpy.types",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "bpy.context",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "bpy.types",
"line_number": 84,
"usage_type": "attribute"
},
{
"api_name": "bpy.data",
"line_n... |
398176661 | import datetime
import pytz
import julian
from astropy.io import fits
from astropy.wcs import WCS
from astropy.coordinates import SkyCoord
import numpy as np
from collections import OrderedDict
# maping from attributes of Image Class (as named in the fits file header) to names which will be displayed in html
dict_a... | null | images_query_interface/common_utils.py | common_utils.py | py | 3,079 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "collections.OrderedDict",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 51,
"usage_type": "attribute"
},
{
"api_nam... |
309401901 | # Copyright 2013 – present by the SalishSeaCast Project contributors
# and The University of British Columbia
#
# 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
#
# https://www.apache.o... | null | nowcast/workers/archive_tarball.py | archive_tarball.py | py | 6,602 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.getLogger",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "nemo_nowcast.NowcastWorker",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "arrow.get",
"line_number": 82,
"usage_type": "call"
},
{
"api_name": "arrow.parser",... |
122876062 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
=============================
BRENDA Enzyme Database Parser
=============================
:Author:
Moritz Emanuel Beber
:Date:
2011-01-27
:Copyright:
Copyright(c) 2011 Jacobs University of Bremen. All rights reserved.
:File:
errors.py
"""
import re
... | null | brenda_parser.py | brenda_parser.py | py | 14,080 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "errno.EINVAL",
"line_number": 63,
"usage_type": "attribute"
},
{
"api_name": "re.compile",
"line_number": 237,
"usage_type": "call"
},
{
"api_name": "re.UNICODE",
"line_number": 237,
"usage_type": "attribute"
},
{
"api_name": "re.compile",
"line... |
71326390 |
from django.shortcuts import render, redirect
from django.utils.timezone import localtime, now
from django.contrib import auth
from django.contrib.auth.models import User
from prueba.models import *
from django.contrib.auth.decorators import login_required
from django.contrib.auth.forms import UserCreationFor... | null | teamWaifu/prueba/views.py | views.py | py | 14,583 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "random.choice",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "django.utils.timezone.localtime",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": ... |
276492671 |
import cv2
import numpy as np
from helpers import apply_clahe
def add_circle_mask(image,x=None,y=None,r=None,type=None):
h,w = image.shape
if x is None or y is None: y,x = h//2,w//2
Y,X = np.ogrid[:h,:w]
if r is None: r = min(h//2,w//2)
mask = (X-x)**2+(Y-y)**2<=r**2
if type==0: image[mask] ... | null | exudates.py | exudates.py | py | 1,886 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.ogrid",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "cv2.cvtColor",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2HLS",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "helpers.apply_cl... |
330762448 | import logging
import asyncio
from sechome_conf import HOST
if HOST == 'pi':
import RPi.GPIO as gpio
else:
import mock_gpio as gpio
gpio.setwarnings(False)
def setup_gpio(pin):
gpio.setmode(gpio.BOARD)
gpio.setup(pin, gpio.IN)
def cleanup_gpio():
gpio.cleanup()
# 0 == open, 1 == closed
def... | null | door_sensor.py | door_sensor.py | py | 872 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sechome_conf.HOST",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "mock_gpio.setwarnings",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "mock_gpio.setmode",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "mock_gpio.BO... |
264069367 | from flask import Flask, render_template, request
from flask_restful import Resource, Api
import sys
DEBUG = True
TEMPLATE_FOLDER = './frontend/dist/'
STATIC_URL_PATH = ''
STATIC_FOLDER = './frontend/dist/'
app = Flask(__name__, template_folder=TEMPLATE_FOLDER, static_url_path=STATIC_URL_PATH, static_folder=STATIC_F... | null | app.py | app.py | py | 2,017 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "flask.Flask",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask_restful.Api",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "api.resources.boa... |
254716357 | # -*- coding: utf-8 -*-
#FABIEN GENTY
#2017/10
#PROJET LONG VISUALISATEUR DE PROTEINES
# importing librairy
from bokeh.plotting import figure, output_file, show,ColumnDataSource
from bokeh import *
from bokeh.models import HoverTool,Span,Slider, CustomJS,CategoricalColorMapper,Button, DataTable, TableColumn
from bokeh... | null | app/plot.py | plot.py | py | 5,123 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "bokeh.plotting.ColumnDataSource",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "bokeh.models.CategoricalColorMapper",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "bokeh.models.HoverTool",
"line_number": 37,
"usage_type": "call"
},... |
190273067 | import base64
import io
import random
import string
from PIL import Image, ImageFont, ImageDraw
class CaptchaTool(object):
"""
生成图片验证码
"""
def __init__(self, width=50, height=12):
self.width = width
self.height = height
# 新图片对象 RGBA,第四通道为透明图片
self.im = Image.new('RGBA... | null | flaskapp/common/captcha.py | captcha.py | py | 2,221 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "PIL.Image.new",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "PIL.ImageFont.load_default",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "PIL.ImageFont",
... |
520011733 | import numpy as np
import cv2
capture = cv2.VideoCapture(0)
while (1):
val, frame = capture.read()
abu = cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)
negative = (255 - abu)
cv2.imshow('Gambar Negatif', negative)
if cv2.waitKey(1) & 0xFF == ord('c'):
break
cv2.destroyAllWindows()
capture.rel... | null | negative.py | negative.py | py | 326 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "cv2.imshow",
... |
478624247 | from __future__ import annotations
from typing import TYPE_CHECKING, List, Optional, Set
from blspy import G1Element
from typing_extensions import Protocol
from chia.server.ws_connection import WSChiaConnection
from chia.types.blockchain_format.coin import Coin
from chia.types.blockchain_format.sized_bytes import by... | null | chia/wallet/wallet_protocol.py | wallet_protocol.py | py | 2,239 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "typing_extensions.Protocol",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "chia.wallet.util.wallet_types.WalletType",
"line_number": 22,
"usage_type": "name"
},
... |
34445111 | from pprint import pprint
import requests
TEST_USER_DATA = {
"first_name": "Ash",
"last_name": "Ketchum",
"hobbies": "Catching em all!"
}
URL = 'http://127.0.0.1:5000/users/2'
def update_user():
out = requests.put(URL, json=TEST_USER_DATA)
if out.status_code == 200:
pprint(out.json())
... | null | tests/manual/update_users.py | update_users.py | py | 435 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "requests.put",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pprint.pprint",
"line_number": 16,
"usage_type": "call"
}
] |
352961069 | #!/usr/bin/python
# -*- coding: utf-8 -*-
import os
import sys
import time
from .base.exchange import *
from .errors import *
import requests
from datetime import datetime
from urllib.parse import urlencode
import time
import calendar
import hmac
import hashlib
import http.client
POLONIEX_REST_URL = 'poloniex.com'
cl... | null | exchanges/poloniex.py | poloniex.py | py | 2,810 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "time.time",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "hmac.new",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "urllib.parse.urlencode",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "hashlib.sha512",
"line_... |
126852498 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('clientes', '0001_initial'),
('locacion', '0001_initial'),
('personas', '__first__'),
('proveedores', '__first__'),
... | null | apps/domicilios/migrations/0001_initial.py | 0001_initial.py | py | 1,733 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.CreateModel",
"line_number": 17,
"usage_type": "call"
},
... |
496466706 | from datetime import datetime
from django.views.generic import TemplateView
from django.contrib.auth.models import User
from articles.models import Article
from blog.models import Post
from events.models import Event
from frontpage.models import CarouselItem
from songs.models import Annotation, Song
class SiteIndex... | null | piosenka/views.py | views.py | py | 2,622 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.views.generic.TemplateView",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "frontpage.models.CarouselItem.objects.filter",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "frontpage.models.CarouselItem.objects",
"line_number": 21,
... |
384049578 | import csv
from datetime import datetime
from dataset.freeze.format.common import Serializer
def value_to_str(value):
if isinstance(value, datetime):
return value.isoformat()
if hasattr(value, 'encode'):
return value.encode('utf-8')
if value is None:
return ''
return value
c... | null | dataset/freeze/format/fcsv.py | fcsv.py | py | 913 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "datetime.datetime",
"line_number": 8,
"usage_type": "argument"
},
{
"api_name": "dataset.freeze.format.common.Serializer",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "csv.writer",
"line_number": 26,
"usage_type": "call"
}
] |
140710146 | import sys
import os
import numpy as np
import torch
import torch.utils.data as du
from torch.autograd import Variable
import torch.nn as nn
import torch.nn.functional as F
import util
from util import *
from drugcell_NN import *
import argparse
import gc
# build mask: matrix (nrows = number of relevant gene set, nco... | null | train_drugcell_prune_st.py | train_drugcell_prune_st.py | py | 32,384 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "torch.zeros",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "torch.autograd.Variable",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "torch.autograd",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "torch.abs",
... |
236905313 | import json
import os
import requests
from urllib3.util import parse_url
class Zodiac(object):
def __init__(self, username, password, company=None, api=None, api_version=None):
self.api = api or 'https://dashboard.zodiacmetrics.com/api'
self.api_version = api_version or 'v1'
self.login_... | null | zodiac/api.py | api.py | py | 5,237 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "json.loads",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "requests.Session",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "urllib3.util.parse_url",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "os.name",
"lin... |
13191767 | # -*- coding: utf-8 -*-
# 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 pymongo
import re
import os
class DoubanPipeline(object):
"""
清洗过滤数据
"""
def process_item(self, item,... | null | scrapy_crawler/douban/douban/pipelines.py | pipelines.py | py | 2,668 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_number": 88,
"usage_type": "call"
},
{
"api_name": "re.match",
"line_number": 98,
"usage_type": "call"
}
] |
647361015 | """
TextWin, the window showing the text messages and info messages in poezio.
Can be locked, scrolled, has a separator, etc…
"""
import logging
from typing import Optional, List, Union
from poezio.windows.base_wins import Win
from poezio.text_buffer import TextBuffer
from poezio.config import config
from poezio.the... | null | poezio/windows/text_win.py | text_win.py | py | 12,577 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.getLogger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "poezio.windows.base_wins.Win",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "typing... |
578065990 | import argparse
import sys
import libvh
PARSER = argparse.ArgumentParser()
PARSER.add_argument("api", help="The api file to work on")
PARSER.add_argument("-v", "--version", help="Explicitly sets version to the specified version number.")
PARSER.add_argument("-d", "--directory", help="Specify a directory where the sou... | null | versionhelper/main.py | main.py | py | 2,128 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "sys.argv.remove",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"... |
580036407 | # -*- coding: utf-8 -*-
"""
Created on Sun Feb 21 16:07:23 2021
@author: Peter
"""
#Import Packages
import cv2
from skimage.color import rgb2gray
from skimage.feature import blob_log
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
from math import sqrt
from math import hypot
i... | null | Scripts/Interparticle Distance of Direct Neighbors.py | Interparticle Distance of Direct Neighbors.py | py | 11,082 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "matplotlib.rcParams",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 21,
"usage_type": "name"
},
{
"api_na... |
449420169 | import torch
from torch import nn
from torch.nn import functional as F
from model.layers import ConvNorm, LinearNorm
from hparams import hparams as hps
class Prenet(nn.Module):
def __init__(self):
super(Prenet, self).__init__()
out_sizes = hps.prenet_out_sizes
in_sizes = [hps.prenet_input_... | null | model/modules.py | modules.py | py | 789 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "torch.nn.Module",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "hparams.hparams.prenet_out_sizes",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "hpa... |
535235433 | from user_auth.models import DeviceToken
import datetime
class DeviceTokenHelper(object):
def __init__(self, username):
self.username = username
timestamp_str = datetime.datetime.now().strftime('%s')
self.datetime_now = int(timestamp_str)
def add_update_device_token(self, device_token... | null | user_auth/functions/device_token_helper.py | device_token_helper.py | py | 966 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "datetime.datetime.now",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "user_auth.models.DeviceToken.objects.get",
"line_number": 13,
"usage_type": "call"
},
{
... |
600825962 | import numpy as np
import cv2
import time
import win32api, win32con
cap = cv2.VideoCapture(0)
time.sleep(2)
ret, frame = cap.read()
lower=[157,69,119]
upper=[179,255,255]
while(1):
ret, frame = cap.read()
frame = cv2.resize(frame,(1360, 750), interpolation = cv2.INTER_CUBIC)
frame=cv2.flip(frame,1)
h... | null | cursor_movement_detection.py | cursor_movement_detection.py | py | 1,267 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.resize",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "cv2.INTER_CUBIC",
"line_numb... |
392091634 | from flask_caching import Cache
from collections import OrderedDict
import pandas as pd
import sys
import os
from traffic_analysis.d00_utils.data_loader_s3 import DataLoaderS3
from traffic_analysis.d00_utils.data_loader_sql import DataLoaderSQL
from traffic_viz.d06_visualisation.dash_object_detection.server import serv... | null | src/traffic_viz/d06_visualisation/dash_object_detection/helper.py | helper.py | py | 2,254 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "traffic_analysis.d00_utils.get_project_directory.get_project_directory",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 14,
"usage_type": "attri... |
269344995 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import division
import matplotlib.pyplot as plt
from matplotlib.artist import setp as setprop
from matplotlib.backends.backend_pdf import PdfPages
import datetime as dt
import matplotlib.cm as cm
from mpl_toolkits.axes_grid.anchored_artists impor... | null | naos-python/Library/Graphics/scatter_plot.py | scatter_plot.py | py | 15,439 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "matplotlib.cm.get_cmap",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "matplotlib.cm",
"line_number": 51,
"usage_type": "name"
},
{
"api_name": "master_plot.warnigs",
"line_number": 119,
"usage_type": "call"
},
{
"api_name": "matplotlib.... |
616446930 | from django.test.testcases import TestCase
from 試驗.書面表.書面試驗表 import 書面試驗表
class 字數試驗(TestCase):
def test_一句(self):
漢字 = '一場無練習'
臺羅 = 'Tsi̍t tiûnn bô liān-si̍p ê pí-sài'
書面 = 書面試驗表.新增一筆書面(編號='3', 文章名='一場無練習的比賽', 作者='33')
資料 = 書面.新增資料(None, 漢字=漢字, 臺羅=臺羅)
漢字字數, 臺羅字數 = 資料.字數()... | null | 試驗/書面表/test字數試驗.py | test字數試驗.py | py | 1,114 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.test.testcases.TestCase",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "試驗.書面表.書面試驗表.書面試驗表.新增一筆書面",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "試驗.書面表.書面試驗表.書面試驗表",
"line_number": 10,
"usage_type": "name"
},
{
"api_na... |
317478873 | from django.shortcuts import render
from django.http import HttpResponseRedirect, HttpResponse
from django.contrib.auth.models import User
from django.shortcuts import get_object_or_404, render, redirect
# from .models import related models
from .models import CarModel
# from .restapis import related methods
# from .re... | null | server/djangoapp/views.py | views.py | py | 7,329 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.getLogger",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "dja... |
465221981 | #
# Copyright 2017-2018 Amazon.com, Inc. and its affiliates. All Rights Reserved.
#
# Licensed under the MIT License. See the LICENSE accompanying this file
# for the specific language governing permissions and limitations under
# the License.
#
import mount_efs
import socket
import pytest
from mock import MagicMock... | null | test/mount_efs_test/test_get_dns_name.py | test_get_dns_name.py | py | 2,670 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pytest.fixture",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "mock.MagicMock",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "mount_efs.get_dns_name",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "mount_efs.get_dn... |
319525318 | from sklearn.datasets import load_breast_cancer
import sklearn.preprocessing
from Ridge_Lasso_model.Ridge_Lasso import RidgeClassifier, LassoClassifier
import torch
x, y = load_breast_cancer(return_X_y=True)
x = sklearn.preprocessing.scale(x)
x_train, y_train = torch.from_numpy(x[:400]), torch.from_numpy(y[... | null | Ridge_Lasso_model/test_classification.py | test_classification.py | py | 843 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sklearn.datasets.load_breast_cancer",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sklearn.datasets.preprocessing.scale",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sklearn.datasets.preprocessing",
"line_number": 8,
"usage_type": "... |
579590404 | """
rex.widget.port_support
=======================
:copyright: 2015, Prometheus Research, LLC
"""
from contextlib import contextmanager
from werkzeug.local import LocalStack
from rex.port import Port
__all__ = ('PortSupport',)
_stack = LocalStack()
_default_parameters = {}
def get_parameters():
... | null | src/rex.widget/src/rex/widget/port_support.py | port_support.py | py | 1,168 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "werkzeug.local.LocalStack",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "contextlib.contextmanager",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "rex.port.Port",
"line_number": 53,
"usage_type": "call"
}
] |
642226255 | #!/usr/bin/env python3
# Copyright 2017 SchedMD LLC.
#
# 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 ... | null | dm/scripts/setup.py | setup.py | py | 15,000 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pathlib.Path",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "requests.exceptions",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"li... |
78156344 | from nltk.corpus import names
from nltk import NaiveBayesClassifier
from nltk import classify
from nltk import MaxentClassifier
import random
names = ([(name, 'male') for name in names.words('male.txt')] + [(name, 'female') for name in names.words('female.txt')])
random.shuffle(names)
print(names[0:10])
def gender... | null | nltk/practice/gender_identification_classifier.py | gender_identification_classifier.py | py | 2,378 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "nltk.corpus.names",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "nltk.corpus.names.words",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "random.shuffle",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.na... |
49160889 | from collections import OrderedDict
import inspect
import numpy as np
import os
from Assignment6.Code import kDataPath, report_path
from model.NeuralNetworkModel import NeuralNetwork
from model.RandomForestsModel import RandomForestModel
from utils.Assignment4Support import draw_accuracies
from utils.Assignment5Support... | null | Assignment8/Code/assignments/previous/hw6/prob2_roc_curves.py | prob2_roc_curves.py | py | 5,173 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.join",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "Assignment6.Code.report_path",
"line_number": 12,
"usage_type": "argument"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "utils.Assi... |
308717504 | import os
import numpy as np
from glob import glob
import random
# image data
import SimpleITK as sitk
from ops.preprocessing import Preprocessing
# Learning
import torch
import torch.nn as nn
from ops.data_loader import Create_Batch
from train import training
from validation import validation
from test import test... | null | main.py | main.py | py | 3,408 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_name": "ops.u... |
534070130 | # -*- coding:utf-8 -*-
from .sortbase import ConditionWithSort
import psutil
class FreeSpaceCondition(ConditionWithSort):
def __init__(self, settings):
ConditionWithSort.__init__(self, settings['action'])
self._min = settings['min'] * 1073741824 # limit = limit * 1GiB
self._path = settin... | null | autoremovetorrents/condition/freespace.py | freespace.py | py | 728 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sortbase.ConditionWithSort",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "sortbase.ConditionWithSort.__init__",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sortbase.ConditionWithSort",
"line_number": 9,
"usage_type": "name"
},
{... |
90738847 | import os
import time
import shutil
from uuid import getnode
from abc import ABC, abstractmethod
from recording.src.coding_framework.BDAConfigParser import g_config
from recording.src.speech_recognition.BDAVideoAudioUtilities import BDAVideoToAudio
from google.cloud import speech
from google.cloud import storage
from... | null | recording/src/speech_recognition/BDAGoogleStorage.py | BDAGoogleStorage.py | py | 10,566 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "abc.ABC",
"line_number": 40,
"usage_type": "name"
},
{
"api_name": "recording.src.coding_framework.BDAConfigParser.g_config.get_value",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "recording.src.coding_framework.BDAConfigParser.g_config",
"line_num... |
379746640 | import numpy as np
import torch, torchvision
import torch.nn as nn
from torchvision import datasets
import torchvision.transforms as transforms
import matplotlib.pyplot as plt
from PIL import Image
from dataset_3 import CatAndDogsDataset
class net(nn.Module):
def __init__(self):
super(net, self).__init_... | null | homeworks/homework2/cnn_4.py | cnn_4.py | py | 5,143 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "torch.nn.Module",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "torch.nn.Sequential",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"lin... |
631303399 | from serial import Serial
class StepperMotor():
"""Stepper Motor with Serial"""
def __init__(self, serial_port, baud_rate):
self.serial_port = serial_port
self.baud_rate = baud_rate
self.serial = None
self.connected = False
def connect(self):
try:
... | null | Python/StepperMotor.py | StepperMotor.py | py | 970 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "serial.Serial",
"line_number": 14,
"usage_type": "call"
}
] |
306191441 | '''
MIT License
Copyright (c) 2019 Arshdeep Bahga and Vijay Madisetti
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, mo... | null | imagepro/myapp/s3upload.py | s3upload.py | py | 2,384 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "boto.s3.connect_s3",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "boto.s3",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": ... |
166454965 | import sys
from tensorflow.examples.tutorials.mnist import input_data
# mnist = input_data.read_data_sets(".", one_hot=True, reshape=False)
mnist = input_data.read_data_sets('K:\datasets\MNIST', one_hot=True, reshape=False)
#MNIST数据集已经可以用one-hot编码的形式提供
import tensorflow as tf
save_file = './train_model.ckpt'
saving ... | null | Class1/4-02_Save_and_restore_tensorflow_models/multilayer_perceptron.py | multilayer_perceptron.py | py | 4,805 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "tensorflow.examples.tutorials.mnist.input_data.read_data_sets",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "tensorflow.examples.tutorials.mnist.input_data",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "sys.argv",
"line_number": 13,
... |
58415856 | #!/user/bin/env python
'''viewStructures.py
Simple wrapper functions that uses ipywidgets and py3Dmol to view a list of
protein structures.
'''
__author__ = "Mars (Shih-Cheng) Huang"
__maintainer__ = "Mars (Shih-Cheng) Huang"
__email__ = "marshuang80@gmail.com"
__version__ = "0.2.0"
__status__ = "Done"
from ipywidge... | null | mmtfPyspark/structureViewer.py | structureViewer.py | py | 9,318 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "py3Dmol.view",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "py3Dmol.view",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "ipywidgets.IntSlider",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "ipywidgets.interact",
... |
72923834 | # -*- coding: utf-8 -*-
import scrapy
from scrapy import Request
from urllib import parse
class SteamSpider(scrapy.Spider):
name = 'steam'
# allowed_domains = ["lab.scrapyd.cn"]
start_urls = ['http://lab.scrapyd.cn/']
def parse(self, response):
# 1.获取当前页所有文章列表url，并对文章进行解析
# 2.获取下一页url... | null | demo1/spiders/steam.py | steam.py | py | 1,401 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "scrapy.Spider",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "scrapy.Request",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "urllib.parse.urljoin",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "urllib.parse",
... |
178609921 | import argparse
import json
import os
import requests
from google.oauth2 import service_account
from google.cloud.iot import DeviceManagerClient, types, enums
from google.api_core.exceptions import NotFound
WOTT_ENDPOINT = os.getenv('WOTT_ENDPOINT', 'https://api.wott.io')
PROJECT = 'wott-244904'
LOCATION = 'europe-... | null | wott.py | wott.py | py | 5,549 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.getenv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"line_numbe... |
165654780 | # -*- coding: utf-8 -*-
# @Time : 2018-04-05 16:26
# @Author : Dingzh.tobest
# 文件描述 ：计算指数相关数据的算法
from scada.db_data.index_db_data import *
from scada.util import global_var as gv
import pandas as pd
import json
# 计算指数PE数据
def compute_index_pe_ttm(index_code, trade_date):
df = get_index_cons(index_code, trade... | null | scada/algo_module/index_data_algo.py | index_data_algo.py | py | 1,786 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "time.strftime",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "time.localtime",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_n... |
499899601 | """
Loader for SDSS individual spectrum files: spec_ files.
.. _spec: https://data.sdss.org/datamodel/files/BOSS_SPECTRO_REDUX/RUN2D/spectra/PLATE4/spec.html
"""
import os
import re
import _io
from astropy.io import fits
from astropy.table import Table
from astropy.wcs import WCS
from astropy.units import Unit, def_u... | null | specutils/io/default_loaders/sdss.py | sdss.py | py | 7,686 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "re.compile",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "parsing_utils.read_fileobj_or_hdulist",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "astropy.i... |
456618904 | # Copyright (c) 2014, The MITRE Corporation. All rights reserved.
# See LICENSE.txt for complete terms.
import unittest
from cybox.test import EntityTestCase
from stix.extensions.identity.ciq_identity_3_0 import CIQIdentity3_0Instance
class CIQIdentity3_0InstanceTests(EntityTestCase, unittest.TestCase):
... | null | stix-1.1.1.0/stix/test/extensions/identity/ciq_identity_3_0_test.py | ciq_identity_3_0_test.py | py | 1,424 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "cybox.test.EntityTestCase",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "unittest.TestCase",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "stix.extensions.identity.ciq_identity_3_0.CIQIdentity3_0Instance",
"line_number": 10,
"usa... |
240944477 | from dotenv import load_dotenv
import os
from selenium import webdriver
from selenium.webdriver.chrome.options import Options as ChromeOptions
from selenium.webdriver.firefox.options import Options as FirefoxOptions
from selenium.webdriver.safari.options import Options as SafariOptions
from selenium.webdriver.edge.opti... | null | samplebrowsertest.py | samplebrowsertest.py | py | 3,262 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.chrome.options.Options",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.firefox.options.Options",
"line_number": 38,
"usage_type"... |
474958326 | import docx
from diot import Diot
from docx.shared import Inches, Pt
from docx.enum.dml import MSO_COLOR_TYPE, MSO_THEME_COLOR
from docx.enum.text import WD_ALIGN_PARAGRAPH, WD_LINE_SPACING, WD_BREAK_TYPE, WD_COLOR, WD_TAB_ALIGNMENT, WD_TAB_LEADER, WD_UNDERLINE
from docx.enum.style import WD_STYLE, WD_STYLE_TYPE
from d... | null | bioprocs/scripts/docx/pDocx.py | pDocx.py | py | 2,509 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "docx.enum.section.WD_SECTION",
"line_number": 42,
"usage_type": "argument"
},
{
"api_name": "docx.enum.section.WD_ORIENT",
"line_number": 43,
"usage_type": "argument"
},
{
"api_name": "docx.shared.Pt",
"line_number": 46,
"usage_type": "call"
},
{
"a... |
504289676 | # coding=UTF8
import requests
URL = "https://www.madailicai.com/p2p/service/"
def count_for_each(product_type, service_type):
params = {"productType": product_type}
result = requests.head(url=URL + service_type, params=params)
return result.headers.get('X-Record-Count')
def list_of_each(start, size, p... | null | week-1/zhangqing.py | zhangqing.py | py | 1,982 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "requests.head",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 16,
"usage_type": "call"
}
] |
463580579 | from datetime import datetime
import pytest
from unittest.mock import MagicMock
from pytz import utc
from sccc_contestbot.models import Contest, ContestData
from sccc_contestbot.contest_manager import RenewalFlag
from .conftest import temp_db_data
def test_renewal_contest(contest_manager, db_session, event_loop):
... | null | tests/test_contest_manager.py | test_contest_manager.py | py | 3,678 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "unittest.mock.MagicMock",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "sccc_contestbot.models.ContestData",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 22,
"usage_type": "call"
},
{
"... |
543168364 | # code taken and modified from:
# https://github.com/aaron-xichen/pytorch-playground/blob/master/cifar/model.py
import torch
import torch.nn as nn
import torch.utils.model_zoo as model_zoo
from collections import OrderedDict
model_urls = {
'cifar10': 'http://ml.cs.tsinghua.edu.cn/~chenxi/pytorch-models/cifar10-d8... | null | oppel/demos/cifar10model.py | cifar10model.py | py | 2,076 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "torch.nn.Module",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "torch.nn.Sequential",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
... |
556508327 | import logging
import numpy as np
from sklearn.linear_model import LinearRegression, ElasticNet, Ridge
from sklearn.utils import check_random_state
from csrank.objectranking.object_ranker import ObjectRanker
from csrank.tunable import Tunable
from csrank.util import normalize, print_dictionary
from ..dataset_reader.o... | null | csrank/objectranking/expected_rank_regression.py | expected_rank_regression.py | py | 5,315 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "csrank.objectranking.object_ranker.ObjectRanker",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "csrank.tunable.Tunable",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "csrank.util.normalize",
"line_number": 54,
"usage_type": "name"
... |
512908971 | import json
class Hotel:
def __init__(self, a_name, a_adress, a_description, a_services, a_apartments):
self.name = a_name
self.adress = a_adress
self.description = a_description
self.services = a_services
self.apartments = a_apartments
def to_JSON(self):
retur... | null | Model/hotel.py | hotel.py | py | 389 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "json.dumps",
"line_number": 13,
"usage_type": "call"
}
] |
132326671 | """solve_problem6.py:
Assignment 1, Problem 6.
"""
__author__ = "Dilawar Singh"
__copyright__ = "Copyright 2016, Dilawar Singh "
__credits__ = ["NCBS Bangalore"]
__license__ = "GNU GPL"
__version__ = "1.0.0"
__maintainer__ = "Dilawar Singh"
__email__ ... | null | DifferentialEquations2016/Assignment1/solve_problem6.py | solve_problem6.py | py | 1,503 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pylab.style.use",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pylab.style",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "numpy.exp",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "scipy.integrate.ode",
... |
241579253 | #!/usr/bin/env python
# -----------------------\ n-------------------------------------
# lexer.py
#
# ------------------------------------------------------------
import ply.lex as lex
from ply.lex import TOKEN
import sys
from table import Table
# List of token names.
tokens = (
# KEYWORDS
'IMPORT',
'CLASS'... | null | asgn1/src/lexer.py | lexer.py | py | 6,289 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "ply.lex.lex",
"line_number": 260,
"usage_type": "call"
},
{
"api_name": "ply.lex",
"line_number": 260,
"usage_type": "name"
},
{
"api_name": "sys.argv",
"line_number": 262,
"usage_type": "attribute"
},
{
"api_name": "table.Table",
"line_number":... |
353080772 | import logging
def init(options):
logging.addLevelName(5, 'TRACE')
logging.addLevelName(3, 'MICROTRACE')
log_format = '%(asctime)s - [%(module)s] %(levelname)s - %(message)s'
logging.basicConfig(level=logging.getLevelName(options.log_level),
format=log_format, datefmt='%H:%M:%S... | null | old/Pipeline/logger.py | logger.py | py | 1,162 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.addLevelName",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "logging.addLevelName",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "logging.ge... |
473785587 | __author__ = "Nikhil Bharadwaj Gosala"
__version__ = 'Python 2.7'
import os
from PIL import Image, ExifTags
def preprocessImages(image_path, wm_path):
"Open the images and resize the watermark to the required size"
is_landscape = False
is_potrait = False
wm = {}
#Open the images
try:
... | null | auto_watermark_multiple_27.py | auto_watermark_multiple_27.py | py | 4,825 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "PIL.Image.open",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "PIL.Image.open",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number"... |
344098503 | import os
import functools
from .utils import printProgressBar
from randomness_testsuite.ApproximateEntropy import ApproximateEntropy as aet
from randomness_testsuite.Complexity import ComplexityTest as ct
from randomness_testsuite.CumulativeSum import CumulativeSums as cst
from randomness_testsuite.FrequencyTest imp... | null | scripts/test_all.py | test_all.py | py | 3,025 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "randomness_testsuite.FrequencyTest.FrequencyTest.monobit_test",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "randomness_testsuite.FrequencyTest.FrequencyTest",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "randomness_testsuite.Frequenc... |
602877261 | # ========================================
# [] File Name : network.py
#
# [] Creation Date : Februray 2018
#
# [] Created By : Ali Gholami (aligholami7596@gmail.com)
# ========================================
"""
Kaggle competition, predicting the survivals of the Titanic!
"""
# coding: utf-8
# Import Pandas an... | null | docs/assignment-1/src/network.py | network.py | py | 9,256 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pandas.read_csv",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 122,
"usage_type": "call"
},
{
"api_name": "matplotlib.... |
363043962 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Sep 21 14:48:16 2019
@author: zoe
"""
"""
#import matplotlib
from tkinter import *
main=Tk()
main.title('RoboTeam_RRT_GUI') #renames the title of the main window
mainFrame= Frame(main)
mainFrame.pack()
"""
import numpy as np
import random, math
imp... | null | RoboTeam_RRT_Gui.py | RoboTeam_RRT_Gui.py | py | 5,473 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "math.sqrt",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 88,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 89,
"usage_type": "call"
},
{
"api_name": "pygame.locals.init",
"lin... |
99877906 | """
MIT License
Copyright (c) 2020 Airbyte
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distr... | null | airbyte-integrations/connectors/source-file/integration_tests/client_storage_providers_test.py | client_storage_providers_test.py | py | 5,557 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pathlib.Path",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "source_file.client.Client",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "source_file.client.Client",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "pyte... |
607013936 | #
# github Repo: https://github.com/clejae
# ------------------------------------------ LOAD PACKAGES ---------------------------------------------------#
import os
import time
import pandas as pd
import matplotlib.pyplot as plt
from matplotlib.patches import Patch
import numpy as np
# ------------------------------... | null | figures_in_paper/Landscape21_grouped_stacked_bars_farm_characteristics.py | Landscape21_grouped_stacked_bars_farm_characteristics.py | py | 8,095 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pandas.read_excel",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "pandas.concat",
"l... |
116665284 | from setuptools import setup, find_packages
import sys, os
version = '0.1'
setup(name='updater',
version=version,
description="Consistent update for OpenFlow Networks",
long_description="""\
This package provides update commands to satisfy requirement.""",
classifiers=[], # Get strings from ht... | null | updater/setup.py | setup.py | py | 820 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "setuptools.setup",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 17,
"usage_type": "call"
}
] |
483445797 | #!python3
"""
Hi there.
This file doesn't contain any code.
It's just here to give an example of the file naming scheme.
Cheers!
"""
import validators
def isurl(link):
value=validators.url(link)
if(value==True):
print("It is a URL")
else:
print("It is not a URL")
def main():
string=str(in... | null | December-09/python_Raahul46_IS_THIS_URL.py | python_Raahul46_IS_THIS_URL.py | py | 409 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "validators.url",
"line_number": 12,
"usage_type": "call"
}
] |
696818 | #!/usr/bin/env python
"""
lib/reykjavik/deps.py
A simple dependency manager that does NOT implement atomicity and concurrency.
What we do not implement here is the textbook semaphore behaviour:
* atomic behaviour
* decrementing and blocking
* incrementing and unblocking one waiting thread
* notification of scheduler... | null | docker/reykjavik/110-library/opt/reykjavik/lib/reykjavik/deps.py | deps.py | py | 2,047 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.environ",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 39,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_name": "memcache.Client",
... |
628385208 | from django.conf import settings
import numpy as np
import time
def get_arrangement_permutation(
dist,
mode,
model=None,
clusters=None,
init_perm=None):
start_time = time.time()
if mode == "none":
return [i for i in range(dist.shape[0])]
if mode == "hamilto... | null | algo/arranging/base.py | base.py | py | 1,702 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "time.time",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "hamilton_path.HamiltonPath",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "hamilton_path.HamiltonPath",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "sklea... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.