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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
290683619 | # -*- coding: utf-8 -*-
#
# Copyright (C) 2019 CERN.
#
# invenio-app-ils is free software; you can redistribute it and/or modify it
# under the terms of the MIT License; see LICENSE file for more details.
"""ILS mail tasks."""
import json
from celery import shared_task
from celery.utils.log import get_task_logger
fr... | null | invenio_app_ils/mail/tasks.py | tasks.py | py | 3,162 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "celery.utils.log.get_task_logger",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "invenio_mail.tasks.send_email.apply_async",
"line_number": 41,
"usage_type": "call"
},
{
... |
414980964 | """blogๅ ้คhotๅญๆฎต
Revision ID: deffd0a14af1
Revises: a6157c4664fe
Create Date: 2019-12-05 17:01:29.453285
"""
from alembic import op
import sqlalchemy as sa
from sqlalchemy.dialects import mysql
# revision identifiers, used by Alembic.
revision = 'deffd0a14af1'
down_revision = 'a6157c4664fe'
branch_labels = None
depend... | null | migrations/versions/deffd0a14af1_blogๅ ้คhotๅญๆฎต.py | deffd0a14af1_blogๅ ้คhotๅญๆฎต.py | py | 724 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "alembic.op.drop_column",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "alembic.op.add_column",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "alembic.op",
... |
57346078 | from utils.make_index import make_index
def q_parse(sentence):
s_split = sentence.split()
ret_dic = {'and' : [s_split[0]], 'or': [], 'not' : []}
i = 1
while (i < len(s_split)):
if (s_split[i] in ['and','or','not'] and i != len(s_split)):
ret_dic[s_split[i]].append(s_split[i+1])
... | null | utils/queries.py | queries.py | py | 3,434 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "utils.make_index.make_index",
"line_number": 29,
"usage_type": "call"
}
] |
479660437 | from PIL import Image, ImageOps
import filterx
import utility
import os
class Picture:
def __init__(self, image):
self.image = image
self.current_size = image.size
self.options()
def options(self):
print()
print("-------------------")
print(" Select Choice ")
print("-------------------")
print(... | null | processor.py | processor.py | py | 3,743 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "filterx.Filter",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "utility.savechanges",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "utility.savechanges",
"line_number": 78,
"usage_type": "call"
},
{
"api_name": "utility.savech... |
639969731 | import wx
app = wx.App()
frame= wx.Frame(None)
panel1 = wx.Panel(frame)
panel2 = wx.Panel(frame)
panel3 = wx.Panel(frame)
panel4 = wx.Panel(frame)
sizer1 = wx.BoxSizer(wx.HORIZONTAL)
panel1.SetSizer(sizer1)
label1= wx.StaticText(frame, label='์ฑ์ ์
๋ ฅ ์์คํ
')
sizer1.Add(label1)
sizer2= wx.StaticBoxSizer(w... | null | ํ์ด์ฌ/wxpythonpracticelast03.py | wxpythonpracticelast03.py | py | 1,277 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "wx.App",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "wx.Frame",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "wx.Panel",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "wx.Panel",
"line_number": 7,
"usage_typ... |
47313023 | import ast
import configparser
import gzip
import inspect
import io
import json
import os
import os.path as osp
import pickle
import socket
import sys
import tarfile
import urllib.request
import numpy as np
import pandas as pd
import strax
export, __all__ = strax.exporter()
__all__ += ['straxen_dir', 'first_sr1_run',... | null | straxen/common.py | common.py | py | 8,643 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "strax.exporter",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"li... |
531134927 | # Copyright 2018, National Technology & Engineering Solutions of Sandia, LLC
# (NTESS). Under the terms of Contract DE-NA0003525 with NTESS, the U.S.
# Government retains certain rights in this software.
import logging
import pprint
import arrow
import bson
import flask
import pymongo
import samlab.web.app.handlers... | null | samlab/web/app/handlers/experiment.py | experiment.py | py | 2,891 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "samlab.web.app.require_permissions",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "samlab.web.app.database.database.experiments.find",
"line_number": 31,
"usage_type":... |
571999672 | from flask import Flask
from os import environ
app=Flask(__name__)
@app.route("/")
@app.route("/hello")
def say_hi():
return "Hello World!"
@app.route("/hello/<name>")
def hello_person(name):
html="""
<h1>
Hello {}
</h1>
<p>
Here's a picture of a kitten. Awwww..... | null | hello_world.py | hello_world.py | py | 760 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "os.environ",
"line_number": 37,
"usage_type": "name"
}
] |
572069134 | import sys, getopt, os.path
from typing import List
import utils
def usage():
print('Simple Lathe')
print('------------------------------------')
print('Usage: lathe <options> <.obj file>*')
print('<options>:')
print('\t-s, --steps=')
print('\t-a, --angle=')
print('\t-r, --rotation=[x, y,... | null | lathe/src/lathe.py | lathe.py | py | 2,870 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "typing.List",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "getopt.getopt",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "getopt.GetoptError",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"lin... |
252720678 | # coding: utf-8
# ะ ะฐะฑะพัะฐ ั ะะ.
# (c) alexbft 2011
from pymongo import Connection
from pymongo.objectid import ObjectId
conn = None
last_id = None
def getconn():
' ะะพะทะฒัะฐัะฐะตั ัะตะบััะตะต ัะพะตะดะธะฝะตะฝะธะต ั ะฑะด. '
global conn
if not conn:
conn = Connection()
return conn
def db():
... | null | tornado/db.py | db.py | py | 542 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pymongo.Connection",
"line_number": 16,
"usage_type": "call"
}
] |
519518700 | import pdb
from pygments.token import (
Comment, Error, Generic, Keyword, Name, Number, Operator, String, Token,
Whitespace
)
TERMINAL_COLORS = {
Token: ('', ''),
Whitespace: ('lightgray', 'darkgray'),
Comment: ('lightgray', 'darkgray'),
Comment.Preproc: ('teal', 'turquoise'),
Keyword: ('d... | null | .pdbrc.py | .pdbrc.py | py | 1,347 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pygments.token.Token",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "pygments.token.Whitespace",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "pygments.token.Comment",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "... |
475234767 | import json
from django.http import HttpResponse
from django.shortcuts import render_to_response
from django.contrib.auth.decorators import login_required
from django.template import RequestContext
from django.views.decorators.csrf import csrf_exempt
from django.conf import settings
import requests
# Create your vie... | null | job/views.py | views.py | py | 3,412 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "django.conf.settings.HELIOS_HOST_MASTER",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings",
"line_number": 16,
"usage_type": "name"
},
{
"ap... |
435776344 | import xml.etree.ElementTree as ET
import xml.dom.minidom as minidom
def xml_view(element):
s = ET.tostring(element)
print(minidom.parseString(s).toprettyxml())
root = ET.Element('inventory')
cheese = ET.Element('cheese')
cheese.attrib['id'] = 'c01'
name = ET.SubElement(cheese, 'name')
name.text = 'Caerphilly... | null | Python_projects/Networking/ch1/tree.py | tree.py | py | 357 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "xml.etree.ElementTree.tostring",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "xml.dom.minidom.parseString",
"line_number": 6,
"usage_type": "call"
},
{
"api... |
316970065 | # -*- coding: utf-8 -*-
"""
Zurich Instruments LabOne Python API Example
Demonstrate how to connect to a Zurich Instruments UHF Lock-in Amplifier and
upload and run an AWG program.
"""
# Copyright 2016 Zurich Instruments AG
from __future__ import print_function
import os
import time
import textwrap
import numpy as n... | null | Drivers/python_libs/linux/zhinst/examples/uhf/example_awg.py | example_awg.py | py | 16,577 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "zhinst.utils.utils.create_api_session",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "zhinst.utils.utils",
"line_number": 64,
"usage_type": "attribute"
},
{
"api_name": "zhinst.utils",
"line_number": 64,
"usage_type": "name"
},
{
"api_na... |
540759629 | """
Test to verify concurrent creation and deletion of multiple PVCs
"""
import logging
import pytest
from ocs_ci.ocs import constants, ocp, exceptions
from ocs_ci.utility.utils import run_async
from ocs_ci.framework.testlib import tier1, ManageTest
from ocs_ci.ocs.resources.pod import get_ceph_tools_pod
from ocs_ci.o... | null | tests/manage/test_pvc_concurrent_deletion_creation.py | test_pvc_concurrent_deletion_creation.py | py | 5,040 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "tests.helpers.create_unique_resource_name",
"line_number": 39,
"usage_type": "call"
},
{
"api_na... |
236401933 | import torch
import os
import time
from torch import autograd
from blox.basic_types import map_dict
from gcp.rec_planner_utils.checkpointer import CheckpointHandler
from blox.utils import dummy_context, RecursiveAverageMeter
from blox import AttrDict
from gcp.rec_planner_utils.gcp_trainer import GCPTrainer
from blox.... | null | gcp/train_planner_model.py | train_planner_model.py | py | 6,867 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "warnings.simplefilter",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "gcp.rec_planner_utils.gcp_trainer.GCPTrainer",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 39,
"usage_type": "call"
},
{
"a... |
377557238 | import sys
import subprocess
import csv
import os
from PyQt5.QtWidgets import QApplication, QLabel, QPushButton, QMainWindow, QPlainTextEdit, QComboBox
from PyQt5.QtGui import QFont
from PyQt5.QtCore import QThread
class thread_video(QThread):
def __init__(self):
QThread.__init__(self)
def __del__(sel... | null | app.py | app.py | py | 15,379 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "PyQt5.QtCore.QThread",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtCore.QThread.__init__",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtCore.QThread",
"line_number": 12,
"usage_type": "name"
},
{
"api_name"... |
357017170 | from django.shortcuts import render
from django.http import HttpResponse
from listings.models import ListingModel
from realtors.models import RealtorModel
from listings.choices import price_choices, bedroom_choices, state_choices
# Create your views here.
def index(request):
listings = ListingModel.objects.order... | null | pages_app/views.py | views.py | py | 978 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "listings.models",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "listings.models.ListingModel.objects.order_by",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "listings.models.ListingModel.objects",
"line_number": 11,
"usage_type": "at... |
147148461 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
import tensorflow as tf
import NiftiDataset
import os
import VNet
import math
import datetime
# tensorflow app flags
FLAGS = tf.app.flags.FLAGS
tf.app.flags.DEFINE_string('data_dir', './dat... | null | train.py | train.py | py | 18,236 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "tensorflow.app",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.app.flags.DEFINE_string",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "tensorflow.app",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_na... |
417895867 | import sentencepiece as spm
import fastText as ft
import numpy as np
sp = spm.SentencePieceProcessor()
dirname = "/home/pragma/development/deeplearning/"
#mytext = input("Text 1: ")
mytext = "Cengiz Hanโฤฑn bรผyรผk amacasฤฑ Kutua, bu hakarete รin รผzerine ve Tatarlara bir dizi saldฤฑrฤฑ dรผzenleyerek cevap verdi ve bu akฤฑnlar ... | null | finddiff/finddiff.py | finddiff.py | py | 1,763 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sentencepiece.SentencePieceProcessor",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "numpy.dot",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.linalg.norm",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy... |
513759874 | # -*- coding: utf-8 -*-
#
# Copyright 2015 Simone Campagna
#
# 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... | null | packages/sheru/hosts_config.py | hosts_config.py | py | 984 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "config.Config",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "host.Host",
"line_number": 27,
"usage_type": "name"
}
] |
646569958 | """
Continuous wavelet transform module for Python. Includes a collection
of routines for wavelet transform and statistical analysis via FFT
algorithm. This module references to the numpy, scipy and pylab Python
packages.
"""
from __future__ import division
import numpy as np
import numpy.fft as fft
from numpy.lib.pol... | null | land_wavelet/oned.py | oned.py | py | 7,825 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.sqrt",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "scipy.special.gamma",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.exp",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "scipy.special.orthogonal.her... |
99870619 | # coding=utf-8
from lxml.etree import LIBXML_VERSION
import unittest.mock as mock
import pytest
import requests
from csbot.util import simple_http_get
#: Test encoding handling; tests are (url, content-type, body, expected_title)
encoding_test_cases = [
# (These test case are synthetic, to test various encoding... | null | csbot/test/test_plugin_linkinfo.py | test_plugin_linkinfo.py | py | 7,145 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "lxml.etree.LIBXML_VERSION",
"line_number": 97,
"usage_type": "name"
},
{
"api_name": "pytest.mark.bot",
"line_number": 129,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_number": 129,
"usage_type": "attribute"
},
{
"api_name": "pytest.f... |
50975474 | #!/usr/bin/env python3
from http.server import BaseHTTPRequestHandler, HTTPServer
import time
import urllib
import git
import json
from subprocess import call
import os
import logging
import subprocess
#defaults
logging.basicConfig(filename='pull.log',level=logging.DEBUG,format='%(asctime)s %(message)s')
hostName = "... | null | pull.py | pull.py | py | 2,437 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.basicConfig",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "logging.info",
"... |
609777462 |
from tkinter import *
from tkinter import ttk
import cv2
from datetime import datetime, date, time
import imutils
import numpy as np
from centroidtracker import CentroidTracker
import pymysql
from PIL import ImageTk
import time
import os
elapsedTime = 0
protopath = "MobileNetSSD_deploy.prototxt"
modelpath = "Mobile... | null | uitest.py | uitest.py | py | 10,345 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "cv2.dnn.readNetFromCaffe",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "cv2.dnn",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "cv2.dnn",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "centroidtracker.Ce... |
262454463 | #coding:utf-8
from django.core.urlresolvers import resolve
from django.shortcuts import render, redirect, HttpResponse
from crm.permission_dict import perm_dic
def perm_check(*args, **kwargs):
request = args[0]
resolve_url_obj = resolve(request.path)
curr_url_name = resolve_url_obj.url_name # ๅฝๅurl็url_... | null | crm/permissions.py | permissions.py | py | 1,916 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.core.urlresolvers.resolve",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "crm.permission_dict.perm_dic.items",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "crm.permission_dict.perm_dic",
"line_number": 14,
"usage_type": "name... |
532553741 | from nifty_stock_list import *
import talib
import pandas_datareader.data as pdr
from talib import abstract
import pymongo
import datetime
from pandas import DataFrame
import pandas as pd
nfty_50 = nifty()
client = pymongo.MongoClient()
mydb = client['NIFTY50']
for stk in nfty_50:
print(stk)
... | null | strategy/macd_rsi.py | macd_rsi.py | py | 3,378 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "talib.abstract.MACD",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "talib.abstra... |
217998161 | from unittest import TestCase
from player import Player
from devtools import DevTools
from referee import Referee
from manager import Manager
from player_interface import TournamentUpdateType
class TestManager(TestCase):
# An overridden Manager for testing purposes. Lets use control the size of the board so we can t... | null | robs/Fish/Admin/test_manager.py | test_manager.py | py | 8,662 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "unittest.TestCase",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "manager.Manager",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "referee.Referee",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "player.Player",
... |
193134755 | import numpy as np
import torch
from torch.nn import functional as F
from scipy.stats import norm
alpha = 1e-1
length_scale = 10
sigma_0 = 0.1
def conf_build(model, x, center_):
'''
build GP for c
:param model: the DNN model, needs classifier() as the last layer
:param x: the data in re... | null | Operational-Calibration/CIFAR-10/GP_build.py | GP_build.py | py | 5,433 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sklearn.metrics.pairwise.pairwise_distances",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.argmin",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "torch.nn.functional.softmax",
"line_number": 27,
"usage_type": "call"
},
{
... |
461695911 | import discord
from discord.ext import commands
import datetime
from urllib import parse, request
import re
bot = commands.Bot(command_prefix='<', description="Bot General")
@bot.command()
async def ping(ctx):
await ctx.send('pong')
@bot.command()
async def infoserver(ctx):
embed... | null | app.py | app.py | py | 4,460 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "discord.ext.commands.Bot",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "discord.ext.commands",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "discord.Embed",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "datetime.... |
145485706 | import os
import csv
import argparse
import cv2
import numpy as np
import sklearn
from sklearn.model_selection import train_test_split
DEFAULT_BASE_PATH = os.path.join('.', 'data')
def generator(samples, imgdir, batch_size=32):
num_samples = len(samples)
while 1: # Loop forever so the generator never termin... | null | train.py | train.py | py | 6,283 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.join",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "sklearn.utils.shuffle",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sklearn.utils",
"li... |
254049004 | import matplotlib.pyplot as plt
FILE_PATH = "python_crash_course/project2/squares_plot.png"
x_values = range(1, 1001)
y_values = [x**2 for x in x_values]
plt.style.use("classic")
fig, ax = plt.subplots()
ax.scatter(x_values, y_values, c="green", s=10)
# Zdefiniowanie tytuลu wykresu i etykiet osi
ax.set_title("Kwadr... | null | python_crash_course/project2/scatter_squares.py | scatter_squares.py | py | 726 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "matplotlib.pyplot.style.use",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.style",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 8,
"usage_type": "name"
},
{
"api_name"... |
405489116 | import json
# 0 -> Multiple degil 1 -> Ja nein 2 -> checkbox
class ChatHandler:
profile = ''
def setupParameters(self, user):
self.profile = user.profile
def getResult(self):
# Wie werden Funktionen benutzen.
switcher = {
"sonstiges": self.sonstiges,
"zu... | null | ChatBot/ChatHandler.py | ChatHandler.py | py | 6,728 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "json.dumps",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 40,
"usage_type": "call"
}
] |
231083428 | import pytest
from textwrap import dedent
from awsudo.config import Config, NoRoleForProfileError, CredentialResolver
class TestConfig:
def test_getCredentials(self, tmpdir):
tmpdir.join('credentials').write(dedent('''\
[default]
aws_access_key_id = ACCESSKEY
aws_secr... | null | awsudo/test/test_config.py | test_config.py | py | 4,648 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "textwrap.dedent",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "awsudo.config.Config",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "textwrap.dedent",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "awsudo.config.Co... |
111288913 | import os
import time
import torch
import torch.nn.parallel
import torchvision
import torchvision.transforms as Transforms
#from matplotlib import pyplot as plt
from Modified_CNN import TSN_model
from transforms import *
import argparse
#--------------------Communication import--------------------------
from commu... | null | polymerization.py | polymerization.py | py | 6,572 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "torch.no_grad",
"line_number": 78,
"usage_type": "call"
},
{
"api_name": "Modified_CNN.TSN_model",
"line_number": 99,
"usage_type": "call"
},
{
"api_name": "torch.lo... |
172998657 | from PyQt4.QtCore import QVariant
from PyQt4.QtGui import QStandardItemModel, QStandardItem #, QTextCursor
from connector import Connector
__author__ = "Johannes Steudle"
__date__ = "$Feb 13, 2011 2:34:51 PM$"
__version__ = '2011-02-15'
class Model:
"""
class model
"""
def __init__(self, view, config... | null | src/model.py | model.py | py | 4,611 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "PyQt4.QtGui.QStandardItemModel",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "connector.Connector",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "PyQt4.QtGui.QStandardItem",
"line_number": 37,
"usage_type": "call"
},
{
"api_... |
610590655 | import urllib2
import urllib
from lxml import etree
import re
from base64 import b64decode
import string
printable = set(string.printable)
def filterFun(s):
return str(filter(lambda x: x in printable, s))
def get(url, params={}):
request = urllib2.Request(url + '?' + urllib.urlencode(params))
request.add_... | null | resources/lib/putlocker.py | putlocker.py | py | 5,264 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "string.printable",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "urllib2.Request",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "urllib.urlencode",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "urllib2.urlopen... |
130687199 | # -*- coding: utf-8 -*-
from django.shortcuts import render_to_response,render
from django.http import HttpResponseRedirect
from django.core.mail import send_mail
from contact.forms import ContactForm
def contact(request):
if request.method == 'POST':
form = ContactForm(request.POST)
if form.is_va... | null | zoro/contact/views.py | views.py | py | 942 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "contact.forms.ContactForm",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.core.mail.send_mail",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.http.HttpResponseRedirect",
"line_number": 20,
"usage_type": "call"
},
{
... |
249645468 | #Import requred libraries:
from selectorlib import Extractor
import requests
import json
import csv
import mysql.connector
#Open a file with "w' (write) mode
f = open("data_output.csv", "w")
#Init our writer obj
writer = csv.writer(f)
#Writer our first row (for headers)
writer.writerow(["asin", "title... | null | SCRIPTS/selector_example.py | selector_example.py | py | 1,904 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "csv.writer",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "selectorlib.Extractor.from_yaml_file",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "selectorlib.Extractor",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": ... |
39143145 | import numpy as np
from .cosmology import Cosmology
from.halo_bias_base import HaloBiasBase
from ..auxiliary.window_functions import WindowFunctions
from ..auxiliary.integration_helper import IntegrationHelper
from scipy.interpolate import interp2d, RectBivariateSpline
import warnings
import mcfit
from scipy.integrate... | null | theory/halo_bias_new.py | halo_bias_new.py | py | 8,198 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "halo_bias_base.HaloBiasBase",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "numpy.nan",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "numpy.nan",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "numpy.meshg... |
625026697 | #!/usr/bin/env python
import hashlib
import argparse
BLOCKSIZE = 65536
hasher_md5 = hashlib.md5()
hasher_sha1 = hashlib.sha1()
parser = argparse.ArgumentParser(description='hey')
parser.add_argument('-file', dest='afile', help='Please choose a file')
args = parser.parse_args()
if not args.afile:
parser.print_he... | null | langs/python/tests/hashing/hasher.py | hasher.py | py | 622 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "hashlib.md5",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "hashlib.sha1",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 10,
"usage_type": "call"
}
] |
476005579 | import cv2
import numpy as np
import imutils
from PIL import Image
from matplotlib import pyplot as plt
import timeit
# code taken from https://www.pyimagesearch.com/2015/01/26/multi-scale-template-matching-using-python-opencv/
# parameters are: form (the form to be read), columnToFind (individual column h... | null | template_matching/Sample_Sheets/Version 1.75/template_matching.py | template_matching.py | py | 14,904 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "cv2.imread",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "cv2.Canny",
"line... |
453078143 | import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
from datetime import datetime, timedelta
from tqdm import tqdm
# In[1]:
tqdm.pandas()
def parse_date(x):
try:
return datetime.strptime(x, "%Y-%m-%d %H:%M:%S.%f+00")
except:
return datetime.strptime(x, "%Y-%m-%d %H:%M:%S+0... | null | prepare_data.py | prepare_data.py | py | 6,393 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "tqdm.tqdm.pandas",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "datetime.datetime... |
560200719 | #!/usr/bin/env python3
import gym
import ptan
import argparse
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from tensorboardX import SummaryWriter
from lib import common
from lib.common import *
from lib.rainbow_model import RainbowDQN
def calc_l... | null | rainbow_dqn_plain_buffer.py | rainbow_dqn_plain_buffer.py | py | 5,389 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "lib.common.unpack_batch",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "lib.common",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "torch.tensor",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "torch.tensor",
"l... |
271317688 | from PySide2.QtWidgets import QApplication, QMainWindow, QPushButton, QPlainTextEdit, QMessageBox
class Status:
def __init__(self):
# ๅๅปบไธป็ชๅฃ
self.window = QMainWindow()
self.window.resize(500, 400) # ็ชๅฃ็ๅฏๅจๆถ็ๅคงๅฐ
self.window.move(200, 100) # ็ชๅฃ็ๅฏๅจๆถ็ๅฎไฝ,ๅทฆไธ่งๅฎไฝๆณ,x=200,y=100
self.... | null | dealExcel/UI/tongji.py | tongji.py | py | 1,671 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "PySide2.QtWidgets.QMainWindow",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "PySide2.QtWidgets.QPlainTextEdit",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "PySide2.QtWidgets.QPushButton",
"line_number": 19,
"usage_type": "call"
}... |
288898857 | from django.shortcuts import get_object_or_404, render
from django.http import HttpResponse
from breeze.models import App
def store(request):
application_list = App.objects.order_by('-created')
context = {'application_list': application_list}
return render(request, 'breeze/store.html', context)
def... | null | scriptbook/breeze/views.py | views.py | py | 475 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "breeze.models.App.objects.order_by",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "breeze.models.App.objects",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "breeze.models.App",
"line_number": 8,
"usage_type": "name"
},
{
"... |
123005325 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Jan 3 13:15:52 2018
@author: nguyentran
"""
from IoTSE_framework.serv_type_storage.services import AbsStorageService as AbsStorageService
from pymongo import MongoClient
class StorageService(AbsStorageService):
def __init__(self, mongo_host = "loc... | null | component_services_refactored/reading_searcher_service_refactor/reading_storage_service.py | reading_storage_service.py | py | 1,704 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "IoTSE_framework.serv_type_storage.services.AbsStorageService",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "pymongo.MongoClient",
"line_number": 14,
"usage_type": "call"
}
] |
318156250 | #!/usr/bin/env python
import requests
import re
import csv
def get_all():
headers = {"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_5) \
AppleWebKit/537.36 (KHTML, like Gecko) Chrome/47.0.2526.80 Safari/537.36"}
results = []
for x in tickers:
newrow = []
try:
newrow... | null | yf_regex.py | yf_regex.py | py | 1,466 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 26... |
59669751 | # Copyright: see copyright.txt
import settings
from collections import deque
import pdb
import helpers.vcommon as CM
from .z3_wrap import Z3Wrapper
from .symbolic_types import symbolic_type, SymbolicType
from .constraint import Constraint, PathToConstraint
mlog = CM.getLogger(__name__, settings.LOGGER_LEVEL)
DBG = pd... | null | symbolic/explore.py | explore.py | py | 4,741 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "helpers.vcommon.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "helpers.vcommon",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "settings.LOGGER_LEVEL",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "... |
163279407 | import json
f = open('jd_task.txt','r')
data = f.readlines()
data =json.loads(data[0])
tmp_data= {'order':[],'key_search':[],'key_word':[],'page':[],'platform':[],'sort':[],'kind':[]}
tmp_result = {'platform':[],'sort':[],'kind':[],'page':[],'html':[]}
for item in data['result']:
if item['platform'] not in tmp_resu... | null | test/ๅฐไบ็บง้กต้ข็ๆฐๆฎๆๅๅบๆฅ.py | ๅฐไบ็บง้กต้ข็ๆฐๆฎๆๅๅบๆฅ.py | py | 1,806 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "json.loads",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 49,
"usage_type": "call"
}
] |
354763256 | # -*- coding: utf-8 -*-
# Copyright (c) 2019, Silvio Peroni <essepuntato@gmail.com>
#
# 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 I... | null | exercises/development/intermediate/exercise_2.py | exercise_2.py | py | 1,419 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "collections.deque",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 44,
"usage_type": "call"
}
] |
312031869 | import mock
from taskw.warrior import TaskWarriorBase
from .base import TaskManagerTest
from inthe_am.taskmanager.taskwarrior_client import TaskwarriorClient
class TestTaskwarriorClient(TaskManagerTest):
def setUp(self):
TaskWarriorBase.load_config = mock.MagicMock(name='load_config')
self.tw = T... | null | inthe_am/taskmanager/tests/test_taskwarrior_client.py | test_taskwarrior_client.py | py | 1,121 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "base.TaskManagerTest",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "taskw.warrior.TaskWarriorBase.load_config",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "taskw.warrior.TaskWarriorBase",
"line_number": 10,
"usage_type": "name... |
166987230 | #!python3
# Simpy model for a basic app.
# The app periodically obtains device data
# from the middleware and prints all collected data.
# It also sends commands to the device.
#
# Author: Neha Karanjkar
from __future__ import print_function
import os, sys
import threading
from queue import Queue
import simpy
impo... | null | streetlight_demo/app.py | app.py | py | 8,248 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sys.path.insert",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "communication_interfa... |
89919427 | #!/usr/bin/python3.6
import os
import matplotlib
matplotlib.use('Agg')
import datasets
import models
import utils
import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt
from datetime import datetime
from sklearn.manifold import TSNE
os.environ["CUDA_VISIBLE_DEVICES"]="3"
config = tf.ConfigProto()
... | null | AEl2/test_ael2.py | test_ael2.py | py | 4,755 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "matplotlib.use",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.ConfigProto",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "tensorflow.place... |
77120885 | #!/usr/local/bin/python3.6
from ipico.reader import FileReader
from ipico.race import Registration
from ipico.race import Race
from datetime import date
date = date(2016, 2, 20)
reg = Registration("2016_Tritonman_DL", date, 10)
tin = FileReader("transition_in")
tout = FileReader("transition_out")
fin = FileReader("fini... | null | tests/race_test.py | race_test.py | py | 1,338 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "datetime.date",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "ipico.race.Registration",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 7,
"usage_type": "argument"
},
{
"api_name": "ipico.reader.Fil... |
586587994 | import codecs
import itertools
import random
import numpy as np
affdata = codecs.open(r'G:\Paper\Copy\Data\Author_DisambSet_corrected.dat','r','UTF-8')
fw = codecs.open(r"G:\Paper\Copy\Data\result.txt", "w",encoding="utf-8") # ่พๅบ็ปๆไปฅๆฃ้ช็จๅบ
dataFile = codecs.open(r'G:\Paper\Copy\Data\file_remove_shannon.txt','r',"UTF-8")... | null | affiliation.py | affiliation.py | py | 8,262 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "codecs.open",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "codecs.open",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "codecs.open",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "itertools.combinations",
"line_n... |
391911886 | #!/bin/env python3
# coding:utf-8
"""
ljk 20161116(update 20170510)
This script should be put in crontab in every web server.Execute every n minutes.
Collect nginx access log, process it and insert the result into mysql.
"""
import os
import re
import subprocess
import time
import pymongo
from sys import argv, exit
fro... | null | log_analyse_parall.py | log_analyse_parall.py | py | 16,381 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "time.time",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "functools.wraps",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "pymongo.MongoClient",
"line_n... |
471973962 | ''''
Real Time Face Recogition
==> Each face stored on dataset/ dir, should have a unique numeric integer ID as 1, 2, 3, etc
==> LBPH computed model (trained faces) should be on trainer/ dir
Based on original code by Anirban Kar: https://github.com/thecodacus/Face-Recognition
Developed by ... | null | FacialRecognition/03_face_recognition.py | 03_face_recognition.py | py | 3,043 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "cv2.face.LBPHFaceRecognizer_create",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "cv2.face",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "cv2.CascadeClassifier",
"line_number": 22,
"usage_type": "call"
},
{
"api_name":... |
404634681 | # -- coding: utf-8 --
import os
import json
# Settings
fixture_directory = "fixtures"
def load_fixture(fixture_name):
fixture_location = os.path.dirname(__file__)
path_to_file = os.path.join(
fixture_location,
fixture_directory,
fixture_name
)
with open(path_to_file, "r")... | null | os2mo_data_import/tests/helpers.py | helpers.py | py | 392 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.dirname",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number"... |
122036196 | import cv2
import numpy as np
from time import time
from utils import load_cutout_to_contours_and_fill, preprocess_frame, draw_contours, extract_diff_from_bg
logo = cv2.imread("logo.png")
sig = cv2.imread("sig.png")
logo = cv2.resize(logo, None, fx=0.2, fy=0.2, interpolation=cv2.INTER_AREA)
sig = cv2.resize(sig, None... | null | webcam_playground.py | webcam_playground.py | py | 4,040 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "cv2.imread",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.resize",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.INTER_AREA",
"line_number": 9,
... |
555848780 | from __future__ import print_function
import numpy as np
import matplotlib.pyplot as plt
from scipy.ndimage import convolve
from sklearn import datasets, cross_validation, metrics
from sklearn.neural_network import BernoulliRBM
from sklearn.pipeline import Pipeline
from sknn.mlp import Classifier, Convolution, Layer
... | null | Autoencoder and Restricted Bolzman Machine/rbm_conv_part2.py | rbm_conv_part2.py | py | 1,602 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sklearn.datasets.fetch_mldata",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sklearn.datasets",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "numpy.asarray",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.mi... |
447841406 | from django.conf.urls import url, include
from . import views
from rest_framework import routers
from .api import *
from knox import views as knox_views
from django.urls import path
app_name = 'uspl'
#router = routers.DefaultRouter()
#router.register('api/users', UserViewSet, 'api_users')
urlpatterns = [
# Auth ... | null | uspl/urls.py | urls.py | py | 10,506 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.urls.path",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.include",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "django.url... |
277937605 | # -*- coding: UTF-8 -*-
'''
create on 02/19/2014
advPublishers
@author: Wu
@email:1162025955@qq.com
'''
from django import forms
from common.models import AdvPublishers
from django.shortcuts import get_object_or_404
from django.shortcuts import render
from django.shortcuts import redirect
from django.contrib.auth... | null | old-code/manage/advPublishers.py | advPublishers.py | py | 3,176 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "common.models.AdvPublishers",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "... |
89276738 | # Copyright (C) 2020 Cancer Care Associates
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to ... | null | lib/pymedphys/_experimental/streamlit/utilities/iview/_sync.py | _sync.py | py | 11,436 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pymedphys._imports.streamlit.write",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "pymedphys._imports.streamlit",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "pymedphys._imports.streamlit.write",
"line_number": 36,
"usage_type": "ca... |
630690270 | # -*- coding: utf-8 -*-
# coding: utf-8
# @Author : WeiXin
# ๅฟฝ็ฅ็ๆฌ่ญฆๅ
import warnings
warnings.filterwarnings('ignore')
import joblib
from rdkitfingerprint import *
#from smilesmethod import *
from cdkfingerprint import *
import pickle
def SelectAlgorithm(algorithmtype):
if algorithmtype == 1:
al = joblib.... | null | model/modelmethod.py | modelmethod.py | py | 2,003 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "joblib.load",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "joblib.load",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "joblib.load",
"lin... |
318544116 | import io
import os
import sys
from zipfile import ZipFile
from django.core.management.base import BaseCommand
import datetime
import urllib.request
import shutil
DATA_URL = 'http://files.grouplens.org/datasets/movielens/ml-100k.zip'
DATA_FILE_NAME = os.path.join(os.path.dirname(__file__), "resources/ml-100k.zip").r... | null | bdd/management/commands/data_extraction.py | data_extraction.py | py | 5,966 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.join",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_nu... |
178304922 | import requests
from bs4 import BeautifulSoup
import re
import xlwt
import xlrd
import json
import os
cve_search_url = "https://nvd.nist.gov/vuln/search/results?form_type=Basic&results_type=overview&query=%s&search_type=last3years"
cve_get_url = "https://nvd.nist.gov/vuln/search/results?form_type=Basic&results_typ... | null | scripts/get_cves.py | get_cves.py | py | 5,879 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 75,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_numb... |
614469966 | import argparse
import datetime as dt
import os
import pandas as pd
import pandas_datareader.data as web
import time
from tqdm import tqdm # progress
import sys
from get_all_tickers import get_tickers as gt
default_start_year = 2000
data_path = '../data/all_stock'
# reserved name in Windows
reserved = ['PRN']
parser... | null | stock/command/download.py | download.py | py | 3,035 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "datetime.datetime"... |
103918865 | import socket
import ssl
import trio # noqa
import pytest # noqa
from yarl import URL # noqa
from aiohttp_socks.core_socks import (
ProxyType,
ProxyError,
ProxyTimeoutError,
ProxyConnectionError
)
from aiohttp_socks.core_socks._proxy_async import AsyncProxy # noqa
from aiohttp_socks.core_socks.as... | null | tests/test_core_socks_async_trio.py | test_core_socks_async_trio.py | py | 4,959 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "aiohttp_socks.core_socks._proxy_async.AsyncProxy",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "yarl.URL",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "aiohttp_socks.core_socks._resolver_async_trio.Resolver",
"line_number": 37,
"us... |
352265973 | # coding=UTF-8
'''
@Author: Fantasy
@Date: 2020-01-13 14:00:32
@LastEditors: Fantasy
@LastEditTime: 2020-04-18 15:29:07
@Descripttion:
@Email: 776474961@qq.com
'''
import os
import re
import json
from DBAnalyze import DBAnalyze
class TemplateTranslate(object):
def __init__(self, templateDir, outputDir, dbInfo):... | null | TemplateTranslate.py | TemplateTranslate.py | py | 8,039 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.abspath",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number"... |
25342022 | import os
import time
import h5py
import torch
import numpy as np
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
from torch.utils.data import DataLoader
import matplotlib.pyplot as plt
from dataset import LoadData
from utils import Evaluation
from utils import visualize_result
from ... | null | train_test.py | train_test.py | py | 4,518 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "dataset.LoadData",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "torch.utils.... |
440501249 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Jul 18 21:49:03 2017
@author: davlars
"""
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Jun 21 10:37:51 2017
@author: kenneth
"""
import odl
import numpy as np
import random
import math
import matplotlib.pyplot as plt
import headnh... | null | Test Files/main2.py | main2.py | py | 10,216 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "odl.uniform_discr",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "numpy.histogram",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "numpy.r_",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "numpy.where",
"li... |
278678754 | #!/usr/bin/env python3
import os
import lib
import math
import sites
import widgets
# Params
OUTPUT_DIR = 'throughput-scalability'
VARNISH_NTHREADS = 1000
TARGET_POOL_SIZE = 100
NCUSTOMERSS = [1, 100, 250, 500, 750, 1000, 1250, 1500, 1750, 2000]
NCONNS_PER_CUSTOMER = 10
sys_config = {
'clients': [lib.CLIENT0_HO... | null | data-collection/throughput-scalability.py | throughput-scalability.py | py | 2,249 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "lib.CLIENT0_HOSTNAME",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "lib.CLIENT1_HOSTNAME",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "lib.CLIENT2_HOSTNAME",
"line_number": 18,
"usage_type": "attribute"
},
{
"api... |
235853259 |
from flask import Blueprint
mod = Blueprint('api_viewallvagas',__name__)
#from flask import Flask, request, url_for
from flask_api import FlaskAPI
from elasticsearch import Elasticsearch
app=FlaskAPI(__name__)
@mod.route('/', defaults={'path' : ''})
@mod.route('/<schema>/viewallvagas', methods = ['GET'])
def ... | null | api/api_viewallvagas/api_viewallvagas.py | api_viewallvagas.py | py | 771 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Blueprint",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "flask_api.FlaskAPI",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "elasticsearch.Elasticsearch",
"line_number": 20,
"usage_type": "call"
}
] |
501347673 | # --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------... | null | vsts/vsts/test/v4_0/models/test_run_statistic.py | test_run_statistic.py | py | 1,208 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "msrest.serialization.Model",
"line_number": 12,
"usage_type": "name"
}
] |
337005650 | # Python 3 Source Code
from base64 import b64encode, b64decode
import sys
import os
import random
chars = 'abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789+/'
def shift(char, key, rev = False):
if not char in chars:
return char
if rev:
print(chars.index(char))
print(key)
... | null | 2016/TWCTF2016/vigenere_cipher/cipher.py | cipher.py | py | 1,589 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "base64.b64encode",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "base64.b64decode",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.urandom",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_num... |
626756159 | import csv
from nltk.stem.wordnet import WordNetLemmatizer
import re, string, random
from nltk.tag import pos_tag
import argparse
import nltk
nltk.download('vader_lexicon')
nltk.download('averaged_perceptron_tagger')
nltk.download('wordnet')
from nltk.sentiment.vader import SentimentIntensityAnalyzer
from nltk import w... | null | sentiment/src/sentiment_represent.py | sentiment_represent.py | py | 2,673 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "nltk.download",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "nltk.download",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "nltk.download",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "tkinter.Tk",
"line_number"... |
443465114 | import pandas as pd
import nltk
from string import digits, punctuation
import numpy as np
import re
import warnings
warnings.filterwarnings('ignore')
from sklearn.linear_model import LogisticRegression
from nltk.stem import PorterStemmer
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.model_se... | null | EmailAnalysisModel.py | EmailAnalysisModel.py | py | 5,946 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sklearn.linear_model.LogisticRegression",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "pickle.dump",
"line_number": 39,
"usage_type": "call"
},
{
"api_na... |
59389563 | import requests
from bs4 import BeautifulSoup
import csv
# get html from site
url = "https://www.starwars.com/news/15-star-wars-quotes-to-use-in-everyday-life"
response = requests.get(url)
headers = response.headers
body = response.text[:2000]
# drill down into html to grab desired info -- quotes and their "authors"
... | null | star_wars_web_scraper.py | star_wars_web_scraper.py | py | 691 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "csv.writer",
"line_number": 16,
"usage_type": "call"
}
] |
41477227 | import hashlib
import base64
import datetime
from werkzeug.utils import secure_filename
import os
from main import app
SECRET = 'FNWUI34HRF734BU9FGB498CBRIFU6uhghfg6'
def hash_password(password):
#hash the admins password
text_ = str(password) + SECRET
return hashlib.md5(text_.encode('utf-8')).hexdigest()
# g... | null | ex_operations.py | ex_operations.py | py | 2,988 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "hashlib.md5",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "base64.b64encode",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "datetime.datetime"... |
320267241 | import rawpy
import numpy as np
import imageio
print("...reading")
raw = rawpy.imread('IMGP0243.PEF')
h,w = raw.sizes.raw_height, raw.sizes.raw_width
raw_image = raw.raw_image.copy()
raw_array = np.array(raw_image).reshape((h,w)).astype('float')
print("...black_level")
bayer_pattern = raw.raw_pattern
blc = raw.black... | null | try4.py | try4.py | py | 1,805 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "rawpy.imread",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": ... |
203152631 | import os
import json
from sifra.logger import rootLogger
import scripts.convert_setup_files_to_json as converter
class Configuration:
"""
Reads all the simulation configuration constants to be read
by other classes
"""
def __init__(self, configuration_file_path,
run_mode='impact'... | null | sifra/configuration.py | configuration.py | py | 6,561 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.splitext",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "os.path.basename",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "scripts.convert_setup_... |
471731678 | # -*- coding: utf-8 -*-
from main.Database.base import Base
from sqlalchemy import Column, String, Integer
class Permission(Base):
__tablename__ = 'permission'
id = Column(Integer, primary_key=True)
name = Column(String)
def __init__(self, name):
self.name = name
def __str__(self):
... | null | software/django project/main/Database/Permission.py | Permission.py | py | 374 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "main.Database.base.Base",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integer",
"line_number": 7,
"usage_type": "argument"
},
{
"api_name": "sqlalch... |
437423962 | import torch
import torchvision.datasets as dataset
import torchvision.transforms as transforms
from torch import nn
batch_size = 256
trans = transforms.ToTensor()
train_set = dataset.MNIST(root="./data", train=True, transform=trans, download=False)
test_set = dataset.MNIST(root="./data", train=False, transform=trans... | null | LeNetBettered.py | LeNetBettered.py | py | 2,077 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torchvision.transforms.ToTensor",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "torchvision.datasets.MNIST",
"line_number": 9,
"usage_type": "call"
},
{
"ap... |
285299969 | import pandas as pd
import numpy as np
import xarray as xr
import sys, os, time, datetime, math
from io import StringIO
import natsort
from BillComparison.models import Tariffs, State, UserSubmissions
from django.db.models.query import QuerySet
from BillComparison.scripts import bill_processing, fileformat_detector
... | null | BillWise_Site/SERREE.py | SERREE.py | py | 2,718 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "BillComparison.models.UserSubmissions",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "BillComparison.models.State.objects.filter",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "BillComparison.models.State.objects",
"line_number": 17,
... |
611913567 | from collections import defaultdict
import sys
emit=defaultdict(lambda:0)
transition=defaultdict(lambda:0)
context=defaultdict(lambda:0)
for line in open(sys.argv[1]):
previous="<s>"
context[previous]+=1
for wordtag in line.strip("\n").split(" "):
word=wordtag.split("_")
transition[previous... | null | osaki/tutorial04/train-hmm.py | train-hmm.py | py | 781 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "collections.defaultdict",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "... |
37317494 | #!/usr/bin/python
#
# This script's purpose is to convert database of NYT from MS SQL dump file
# to xml data format
#
# First you need to restore database to your running SQL server then change
# connection configuration below and run the script
import pyodbc
import codecs
from xml.sax.saxutils import escape
print("... | null | Implementation/irsa-etc/nyt-convert/convert.py | convert.py | py | 1,259 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pyodbc.connect",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "codecs.open",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "xml.sax.saxutils.escape",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "xml.sax.saxutils.e... |
281807724 | import os, math
import random
import neo4j_bolt_driver as nbd
from neo4j.v1 import GraphDatabase
import walletexplorer as we
import time
from settings import *
import numpy as np
# test_set = 0.1
# training_set = 0.9
# test_addresses = 100 # full dataset size
# addresses_per_block = 20
# last_block = 426541
# first_b... | null | test_feature_extractor.py | test_feature_extractor.py | py | 7,779 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.getcwd",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "time.strftime",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number":... |
279978834 | from . import crawler
from bs4 import BeautifulSoup #need pip install Beautifulsoup, bs4
import json
import requests
import re
import urllib.parse
from parsing.program.BookDataType import *
from parsing.models import *
from multiprocessing import Pool
import django
class ChungbukNational (crawler.Crawler):
CONST_... | null | parsing/program/ChungbukNational.py | ChungbukNational.py | py | 6,276 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "urllib.parse.parse.quote",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "urllib.parse.parse",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "urllib.parse",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "request... |
346469311 | import pygame
import os, sys
backgroundImage = pygame.image.load("background.png")
floorImage = pygame.image.load("floor.png")
heroImage = os.path.join("D:\skola\Programovani\Python\superFabio", "player.png")
pipeImage = os.path.join("D:\skola\Programovani\Python\superFabio", "pipe.png")
wallImage = os.path.join("D:\... | null | Prototypes/levelMovement.py | levelMovement.py | py | 4,874 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pygame.image.load",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pygame.image",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "pygame.image.load",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pygame.image",
... |
103409586 | #!/usr/bin/python3
"""
function that prints the titles of the first 10 hot posts
listed for a given subreddit
"""
import requests
def top_ten(subreddit):
""" function to return number of subscribers """
url = "https://www.reddit.com/r/" + subreddit + "/hot.json?limit=10"
subred = requests.get(url, headers... | null | 0x18-api_advanced/1-top_ten.py | 1-top_ten.py | py | 806 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 12,
"usage_type": "call"
}
] |
604563804 | import logging
import os
from pathlib import Path
from typing import Union
import pandas as pd
logging.basicConfig(level=logging.INFO,
format='%(asctime)s - %(message)s',
datefmt='%Y-%m-%d %H:%M:%S')
# Assign the below based on the results of df.dtypes.
EXPECTED_CSV_DATATYPE =... | null | python_fun/app_csvParser/csvParser/utils/parser.py | parser.py | py | 2,899 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.basicConfig",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "typing.Union",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"... |
481929071 | #!/usr/bin/env python3
import json
import odoorpc
import dns.resolver
from validate_email import validate_email
o = odoorpc.ODOO.load('vf_prod')
ai = o.env['account.invoice']
rp = o.env['res.partner']
partner_email = dict([(x['id'], x['email']) for x in rp.read(rp.search([]),['email'])])
alle_sub = json.loads(open('a... | null | customer_specific_utils/ventilasjonsfilter/fakturastat/check_emails.py | check_emails.py | py | 1,716 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "odoorpc.ODOO.load",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "odoorpc.ODOO",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "json.loads",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "dns.resolver.resolver.qu... |
278217047 | from flask import Blueprint, send_file
from ...core.files import abspath, fileExists, dirNm
from .serve import serveNer
MY_DIR = dirNm(abspath(__file__))
def factory(web):
app = Blueprint(
"ner",
__name__,
url_prefix="/ner",
template_folder="templates",
)
@app.route("/st... | null | tf/browser/ner/web.py | web.py | py | 604 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "core.files.dirNm",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "core.files.abspath",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.Blueprint",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "core.files.fileExis... |
540380712 | from django import template
from django.template.defaultfilters import stringfilter
import numbers
register = template.Library()
@register.filter()
def formatPrediction(value, prediction):
if prediction < value:
icon = '<i title="Token" style="color:#FF584F" class="fa fa-arrow-down alt"></i>'
else:
... | null | minfmi/dashboard/templatetags/template_extras.py | template_extras.py | py | 1,155 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.template.Library",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "django.template",
"line_number": 4,
"usage_type": "name"
}
] |
106714257 | import os
import os.path
import torch
import librosa
import soundfile as sf
from modules.const import *
from flask import Flask, request, render_template
from werkzeug.utils import secure_filename
from kospeech.utils import label_to_string, id2char, EOS_token
from modules.parser import parse_audio
from modules.converte... | null | app.py | app.py | py | 2,948 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "torch.load",
"line_number":... |
510089954 | import os
import cv2
import numpy as np
import ast
import sys
path=('/home/ubuntu/cc/scripts/CenterTrack1/20200713/ann/01')
colours=np.random.randint(0,255,(255,3))
list_=os.listdir(path)
list_=sorted(list_,key=lambda x:int(x.split(".")[0]))
path_img='/home/ubuntu/data/holo/holo/images'
img=os.listdir(path_img)
img1=so... | null | CenterTrack2/show.py | show.py | py | 1,432 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.random.randint",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line... |
116392580 | from flask import render_template, url_for, request, redirect, flash
from flask.templating import render_template_string
from sqlalchemy.sql.elements import Null
from TAPR import app, db
from TAPR.models import *
from TAPR.forms import *
from flask_login import login_user, logout_user, login_required, current_user
from... | null | TAPR/routes.py | routes.py | py | 16,201 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.render_template",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "TAPR.app.route",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "TAPR.app",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "TAPR.app.route",
"l... |
318526441 | from matplotlib import pyplot as plt
from matplotlib import patches
import matplotlib.patheffects as path_effects
import numpy as np
import seaborn as sbn
def imshow(image, figsize=None, **kw):
if figsize is not None:
plt.figure(None, figsize)
if image.ndim == 3 and 1 in image.shape:
if image.... | null | celldetection/visualization/images.py | images.py | py | 4,710 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "numpy.squeeze",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.squeez... |
61636411 | # -*- coding: iso-8859-15 -*-
__author__ = "Harold Fernandez | SIGAG S.A.S"
__date__ = "$13-ago-2016 9:49:42$"
import cv2
class ProcesamientoImg(object):
image = ""
def __init__(self, image):
self.image = image
def calcular_histograma(self, canal):
img = self.image
... | null | src/sigaind/ProimgBundle/Resources/py/ProcessImg/GestionImagen/ProcesamientoImg.py | ProcesamientoImg.py | py | 439 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "cv2.calcHist",
"line_number": 17,
"usage_type": "call"
}
] |
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