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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
455414724 | # -*- coding: utf-8 -*-
"""Syslog raw sender provider"""
from datetime import datetime
from builtins import input
from .base_sender import BaseSender
class SyslogRawSender(BaseSender):
"""Generate a lot of events from/for Syslog"""
def __init__(self, engine, template, **kwargs):
BaseSender.__init__(se... | null | devoutils/faker/senders/syslog_raw_sender.py | syslog_raw_sender.py | py | 1,206 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "base_sender.BaseSender",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "base_sender.BaseSender.__init__",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "base_sender.BaseSender",
"line_number": 11,
"usage_type": "name"
},
{
"api_... |
109177093 | #!/usr/bin/python3
#
# sts-sru : Get a list of LP bugs with sts-sru tag
#
# Copyright (C) 2016 Louis bouchard <louis.bouchard@canonical.com>
#
import argparse
import sys
from BugTasks import BugTasks
tag = None
def main(arguments):
sru = BugTasks()
sru.login()
if arguments.sru:
tag = 'sts-sru-nee... | null | sts_tag_queries/sts_query.py | sts_query.py | py | 1,642 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "BugTasks.BugTasks",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 49,
"usage_type": "attribute"
}
] |
309166261 | """This module requires lxml and nltk!"""
from lxml.cssselect import CSSSelector
import lxml.html
import nltk
import re
import urllib2
import random
content = []
irc = None
def init(bot):
global irc
irc = bot
irc.cmd.events['PRIVMSG'].subscribe(privmsg)
def privmsg(sender, args):
g... | null | plugin/textgen.py | textgen.py | py | 3,198 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "nltk.tokenize.punkt.PunktSentenceTokenizer",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "nltk.tokenize",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "urllib2.urlopen",
"line_number": 32,
"usage_type": "call"
},
{
"api... |
181169525 | import torch
import torch.nn as nn
class PruningWeight(object):
def __init__(self, ratio=0.0):
self.MaskList = []
self.threshold = []
self.ratio = ratio
def Init(self, model):
for m in model.modules():
if isinstance(m, nn.Linear) or isinstan... | null | HW5/sparse_to_fill.py | sparse_to_fill.py | py | 2,895 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.nn.Linear",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "torch.nn.Conv2d",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "torch.no_grad",
... |
481738659 | import requests
from bs4 import BeautifulSoup
page_nasdaq = requests.get("https://www.bloomberg.com/quote/CCMP:IND")
soup = BeautifulSoup(page_nasdaq.content, 'html.parser')
name_box_nasdaq = soup.find('h1', attrs={'class': 'name'})
nome_nasdaq = name_box_nasdaq.text.strip()
print(nome_nasdaq)
price_box_nasdaq = soup.... | null | Parte_1.py | Parte_1.py | py | 1,723 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"li... |
188840988 | import numpy as np
import random as rd
from sensor import sensor
import uuid
'''
- at least 1 thermostat
- at least one co2 sensor
- random amount subject to function
- need to pass in the building and room id to make composite sensor id
'''
'''
- contains dictionary of sensors that report a metri... | null | scripts/room.py | room.py | py | 1,456 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sensor.sensor",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.int64",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "uuid.uuid4",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_numbe... |
346288761 | from django.conf.urls import url
from . import views
urlpatterns = [
url(r'^$', views.index),
url(r'^consultar/$', views.consultar, name='consultar'),
url(r'^detalle/$', views.detalle, name='detalle'),
#url(r'^consultarlink/(?P<palabra>\d+)/$', views.consultarlink, name='consultarlink'),
] | null | buscador/urls.py | urls.py | py | 308 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.conf.urls.url",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 8,
"usage_type": "call"
}
] |
205234257 | """Next-gen variant detection and evaluation with GATK and SnpEff.
"""
import os
import json
import subprocess
from bcbio.variation.recalibrate import gatk_recalibrate
from bcbio.variation.realign import gatk_realigner
from bcbio.variation.genotype import gatk_genotyper, gatk_evaluate_variants
# ## Recalibration
def... | null | nextgen/bcbio/pipeline/variation.py | variation.py | py | 2,652 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "bcbio.variation.recalibrate.gatk_recalibrate",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "subprocess.check_call",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 32,
"usage_type": "call"
},
{
... |
432452482 | from datasette.app import Datasette
import numpy as np
import os
from tables import *
import tempfile
def app_client(max_returned_rows=None):
with tempfile.TemporaryDirectory() as tmpdir:
filepath = os.path.join(tmpdir, 'test_tables.h5')
populate_file(filepath)
ds = Datasette(
[... | null | tests/fixtures.py | fixtures.py | py | 1,588 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tempfile.TemporaryDirectory",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "datasette.app.Data... |
40186995 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Tests for `swapi_wrapper` package."""
import pytest
import responses
from swapi_wrapper import Person, make_url
@responses.activate
def test_person_get(person_data):
# Patch requests so it just returns person_data and doesn't actually hit the servers
respons... | null | tests/test_person.py | test_person.py | py | 1,404 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "responses.add",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "responses.GET",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "swapi_wrapper.Person.resource_url",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name"... |
533294183 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @File : main.py
# @Author: wangyalei
# @Date : 18/8/9
# @Desc : 1.支持自动回复白名单 config.AUTO_REPLY_LIST
# 2.可配置自己发的消息是否回复 config.IS_REPLY_SELF
# 3.回复源支持图灵和微软小冰配置 config.CHAT_TYPE。
# 小冰没有对应的api，模拟的微博的接口。因为微博发消息后，不能直接得到回复内容，需要延时后刷聊天列表，有失败的情况，失败后会走图... | null | main.py | main.py | py | 1,396 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "config.TAG_WECHAT",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "wechat.smart_chat.SmartChat",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "... |
122801579 | # -*- coding: utf-8 -*-
"""
Created on Sun Mar 31 18:14:02 2019
@author: LingfengZhao
"""
import numpy as np
from matplotlib import pyplot as plt
gamma = 3
alpha = np.array([0 ,0 , 1, 1])
x = np.array([0, 1, 2, 3])
y = np.array([1, -1, 1, -1])
z = np.sum(alpha * y * np.exp(- gamma* (x -x[:,None])**2), axis =0)
y... | null | HW 8/4-1.py | 4-1.py | py | 485 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.array",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 17... |
271822399 | ###################################
# CS B551 Spring 2021, Assignment #3
#
# Submitted by: Ayush Sanghavi (sanghavi)
# Vighnesh Kolhatkar (vkolhatk)
# Vishwas Desai (visdesai)
#
# (Based on skeleton code by D. Crandall)
#
from collections import Counter
import random
import math... | null | part1/pos_solver.py | pos_solver.py | py | 13,343 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "math.log",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "math.log",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "math.log",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "math.log",
"line_number": 54,
"usa... |
90144094 | import base64
import math
import os
import time
import numpy
import sys
import tornado.websocket
def encoding_base64(dim=4096):
array = numpy.random.rand(dim, dim)
arr_to_str = array.tostring()
start_time = time.time()
encoding = base64.b64encode(arr_to_str)
time_from_encoding = time.time() - sta... | null | tornado/ws_server.py | ws_server.py | py | 2,046 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.random.rand",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "time.time",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "base64.b64encode",
... |
386522570 | # OBJECTIVE
# Find the central node of a tree that has the shortest maximum distance to all the leafs of the tree and return that shortest distance
# INPUT
# N - Number of links
# Next N lines are 2 space separated ints specifying a link between 2 nodes.
# OUTPUT
# Single int representing the minimal amount of steps ... | null | ClassicMedium/Teads/core.py | core.py | py | 3,979 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.stderr.write",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "sys.stderr",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "collections.defaultdict",
"line_number": 77,
"usage_type": "call"
},
{
"api_name": "collections.... |
366382723 | """Pipeline for the VLASS SOM
The SOM is trained on a separate dataset.
"""
import os, sys
import shutil
import subprocess
import numpy as np
import pandas as pd
from astropy.table import Table, vstack
from legacy_survey_cutout_fetcher import grab_vlass_unwise_cutouts
import pyink as pu
import vlass_data_loader as vd... | null | ComplexXID/vlass_som_pipeline.py | vlass_som_pipeline.py | py | 7,539 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.join",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 3... |
162089619 | # -*- coding: utf-8 -*-
"""
Created on Tue Apr 27 16:27:41 2021
@author: Alexandre
"""
import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
import plotly.graph_objs as go
import pandas as pd
from app import app
from plotly.subplots import make_... | null | apps/emplois_app.py | emplois_app.py | py | 3,603 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.read_csv",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "plotly.subplots.make_subplots",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "plotly.... |
60412330 | import torch
from torch import nn
from torchvision.models.vgg import vgg16
# Copied from CS231N Github
def tv_loss(img, tv_weight):
"""
Compute total variation loss.
Inputs:
- img: PyTorch Variable of shape (1, 3, H, W) holding an input image.
- tv_weight: Scalar giving the weight w_t to use for th... | null | loss.py | loss.py | py | 2,819 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.sum",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torch.pow",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torch.sum",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torch.pow",
"line_number": 17,
... |
606323751 | """Work experience serializer serializer."""
# Django
from django.shortcuts import get_object_or_404
# Django REST Framework
from rest_framework import serializers
# Models
from api.programs.models import Student
from api.users.models import User
from datetime import timedelta
class CourseStudentMo... | null | api/programs/serializers/courses/students.py | students.py | py | 1,525 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "rest_framework.serializers.SerializerMethodField",
"line_number": ... |
651673114 | from sys import stdin
from collections import deque
n, s = map(int, stdin.readline().split())
t = list(map(int, stdin.readline().split(' ')))
check = [False for _ in range(n)]
arr = deque()
ans = 0
def find(index):
if sum(arr) == s and len(arr) != 0:
global ans
ans += 1
for i in range(index, n)... | null | baekjoon/7주차/1182-부분수열의-합/우섭/1182.py | 1182.py | py | 498 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.stdin.readline",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "sys.stdin.readline",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_nu... |
639942639 | # -*- coding: utf-8 -*-
"""Automated Tool for Optimized Modelling (ATOM).
Author: Mavs
Description: Module containing utility constants, functions and classes.
"""
# Standard packages
import math
import logging
import numpy as np
import pandas as pd
from typing import Union
from functools import wraps
from collecti... | null | atom/utils.py | utils.py | py | 43,580 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.ndarray",
"line_number": 92,
"usage_type": "attribute"
},
{
"api_name": "pandas.Series",
"line_number": 92,
"usage_type": "attribute"
},
{
"api_name": "typing.Union",
"line_number": 95,
"usage_type": "name"
},
{
"api_name": "typing.Union",
... |
19948090 |
# -*- coding: utf-8 -*-
# @Author: loopingleo
# @Date: 2018-09-13
# @Last Modified by:
# @Last Modified time:
import gpxpy.parser as parser
import os, glob
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
import csv
import urllib.request, json
from pprint import pprint
import requests
import ... | null | createEVtable.py | createEVtable.py | py | 14,470 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.environ.get",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "ssl._create_default_https_context",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": ... |
63219723 | import pandas as pd
import numpy as np
from zipline.api import symbol, order, record, sid, get_datetime, order_target_percent
from zipline import run_algorithm
import pytz
class stg():
def __init__(self, dict_dt_sec_wgt): #
self.dict_dt_sec_wgt = dict_dt_sec_wgt
self.lst_assets = [str(x) for x in ... | null | CH_Analyzer/ch_analyzer.py | ch_analyzer.py | py | 3,374 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "zipline.api.symbol",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "zipline.api.get_datetime",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "zipline.api.order_target_percent",
"line_number": 61,
"usage_type": "call"
},
{
"api_... |
445680002 | # coding=utf-8
# Copyright 2018 The TensorFlow Datasets Authors.
#
# 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 appl... | null | tensorflow_datasets/testing/dataset_builder_testing.py | dataset_builder_testing.py | py | 5,645 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tensorflow.test",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "tempfile.mkdtemp",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "tensorflow.test.get_temp_dir",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "te... |
46091017 | import Settings
import tornado.ioloop
import tornado.web
import burnup
import frequency
import verify_status
class Application(tornado.web.Application):
def __init__(self):
handlers = [
(r"/", MainHandler),
]
settings = {
"template_path":Settings.TEMPLATE_PATH,
... | null | server.py | server.py | py | 1,025 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tornado.ioloop.web",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "tornado.ioloop",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "Settings.TEMPLATE_PATH",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "Sett... |
426895291 | # -*- coding: utf-8 -*-
"""
Created on Tue Oct 20 16:13:45 2015
@author: cai
"""
import urllib
import time
import os
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.common.exceptions import ElementNotVisibleException,StaleElementReferenceException
import socket
class Craw... | null | Python/Spiders/BaiduImageSpyder_new.py | BaiduImageSpyder_new.py | py | 9,897 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.join",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 3... |
130361268 | from django.contrib.auth.decorators import login_required
from django.http import JsonResponse
from django.shortcuts import render, redirect
from rest_framework.decorators import api_view
from rest_framework import status
from accounts.models import Professional
from jobs.forms import EducationHistoryForm
from jobs.mo... | null | src/jobs/views/education_history.py | education_history.py | py | 2,404 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "jobs.models.EducationHistory.objects.filter",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "jobs.models.EducationHistory.objects",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "jobs.models.EducationHistory",
"line_number": 19,
"... |
546407702 | import os
import pickle
import click
INDEX_DEFAULT="index.idx"
class FileRecord():
"""A FileRecord contains the file path and relevant metadata for indexing"""
def __init__(
self,
fullpath=None,
basename=None,
size=None,
type=None
):
self.fullpath = fullpath
self.basena... | null | index_proj.py | index_proj.py | py | 4,063 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.basename",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "os.path.getsize",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_num... |
47480279 | import numpy as np
import h5py
from utilities import calculate_scalar, scale
class DataGenerator(object):
def __init__(self, hdf5_path, batch_size, fold_for_validation, scale, seed=1234):
self.random_state = np.random.RandomState(seed)
# Load data
hf = h5py.File(hdf5_path, ... | null | data_generator.py | data_generator.py | py | 3,444 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.random.RandomState",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "h5py.File",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.newaxis",
... |
140352331 | import datetime
def crear_mes(nombre, abreviatura, cantidad):
"""
Dados los parametros se imprime en consola un texto informativo
:param nombre: str - nombre del mes
:param abreviatura: str - abreviatura del mes
:param cantidad: int - cantidad de dias del mes
:return: None
"""
devoluci... | null | Guia de Ejercicios General 01/Guia de Ejercicios General 01/fechas.py | fechas.py | py | 1,021 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "datetime.datetime.strptime",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 24,
"usage_type": "attribute"
}
] |
28645527 | from setuptools import setup, find_packages
import proso.release
import os
VERSION = proso.release.VERSION
setup(
name='proso-apps',
version=VERSION,
description='General library for applications in PROSO projects',
author='Adaptive Learning Group',
author_email='al@fi.muni.cz',
namespace_pack... | null | setup.py | setup.py | py | 2,101 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "proso.release.release",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "proso.release",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "setuptools.setup",
"line_number": 7,
"usage_type": "call"
}
] |
306685068 | from csv import DictReader
from datetime import datetime
from django.core.management.base import BaseCommand
from huts.models import Hut, Region, Agency
from huts.utils.null_na import from_csv, DB_NA_POS_NUM, DB_NA_STRING, DB_NA_LIST, CSV_NA, CSV_NULL
from huts.utils.countries import lookup_country_code
class Command... | null | src/hutmap/huts/management/commands/loadfromcsv.py | loadfromcsv.py | py | 5,232 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "csv.DictReader",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "csv.DictReader",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "... |
564795490 | import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.nn.utils import spectral_norm as sn
from torch.nn.utils import spectral_norm
class ConvBnBlock(nn.Module):
def __init__(self, in_channel, out_channel, kernel_size, padding,
activation=F.relu, bn=True, mp=True, sn_=True... | null | feature_selection/networks/discriminator.py | discriminator.py | py | 6,081 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.nn.Module",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "torch.nn.functional.relu",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.fu... |
543924894 | """
VHS SCRIPT DEMO THINGY LOL
MADE USING XUBUNTU 19.04 OCT-2019
"""
import PIL.Image as PImage
import PIL.ImageCms as PImageCms
from tkinter import filedialog as File #shamelessly stolen from test.py BECAUSE IT JUST WORKS GOGAMMIT
from tkinter import *
startTk = Tk()
startTk.withdraw()
error = True
while error == Tru... | null | import/send/vhs.py | vhs.py | py | 2,251 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "PIL.Image.open",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "PIL.ImageCms.createProfile",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "PIL.ImageCms",
... |
191714648 | import torch
def desc_grad_sto(param,y_a,eps):
largo, ancho = param.size()
w = torch.randn(1,ancho,requires_grad=True,dtype=torch.float64) #Premier est c outputs, deuxieme est d parametres
b = torch.randn(1,1,requires_grad=True,dtype=torch.float64)
errores = torch.ones((largo,1))
for i in range(la... | null | TME2/TME 2 grad.py | TME 2 grad.py | py | 770 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.randn",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "torch.float64",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "torch.randn",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "torch.float64",
"line_num... |
478196708 | from django import template
from blog.models import Post, User
register = template.Library()
@register.inclusion_tag('blog/sidebar.html')
def random_posts():
author_id_list = Post.objects.values_list('author', flat=True).distinct()
authors = User.objects.filter(pk__in=author_id_list).order_by('?')[:5]
re... | null | blog/templatetags/sidebar.py | sidebar.py | py | 346 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.template.Library",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "django.template",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "blog.models.Post.objects.values_list",
"line_number": 9,
"usage_type": "call"
},
{
"api_nam... |
3903123 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
********************************************
Created on Thu Apr 13 08:39:22 2017
by
Chamara Rajapakshe
(cpn.here@umbc.edu)
********************************************
To run Mie code and do the averaging. (Intermediate version)
PSDs object:
To handle size distribu... | null | Toy_clouds/Step_Cloud/cpnMielib.py | cpnMielib.py | py | 14,110 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.size",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "netCDF4.Dataset",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "netCDF4.Dataset",
"line_number": 76,
"usage_type": "call"
},
{
"api_name": "numpy.hstack",
"line_n... |
208696523 | import requests
import config
def pin_to_pinata(file_obj, filename):
url = "https://api.pinata.cloud/pinning/pinFileToIPFS"
payload = {}
files = [
('file', (filename, file_obj, 'image/jpeg'))
]
headers = {
'pinata_api_key': config.PINATA_KEY,
'pinata_secret_api_key': confi... | null | pinata.py | pinata.py | py | 459 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "config.PINATA_KEY",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "config.PINATA_SECRET",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "requests.request",
"line_number": 17,
"usage_type": "call"
}
] |
71263039 | import os
import sys
import json
from libCore import *
class ConfigReader():
def __init__(self):
self.e = None
self.cfg = None
self.jsonObj = None
self.cfgPathList = os.environ["CORE_CFG_PATH"].split(":")
def IsOk(self):
return self.cfg != None
def R... | null | lib/core/libConfig.py | libConfig.py | py | 3,817 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.environ",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 102,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": ... |
609970100 | # -*- coding: utf-8 -*-
# 2022/1/21
# create by: snower
from .utils import is_py3, get_logger
from .event import EventEmitter, null_emit_callback
from .loop import instance
from .buffer import Buffer, BaseBuffer, RECV_BUFFER_SIZE
from .errors import SocketClosed
STATE_INITIALIZED = 0x01
STATE_CONNECTING = ... | null | sevent/pipe.py | pipe.py | py | 12,096 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "event.EventEmitter",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "buffer.RECV_BUFFER_SIZE",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "buffer.RECV_BUFFER_SIZE",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "ev... |
62153183 | #!/usr/bin/env python2
"""Angela RML Interpreter - File Utilities
Created by the project angela team
http://sourceforge.net/projects/projectangela/
http://www.projectangela.org"""
__license__ = "GPL"
__version__ = "$Revision: 0.1 $"
__author__ = 'David Stocker'
# ***** BEGIN GPL LICENSE BLOCK *****
#
# M... | null | Grafeno/Fileutils.py | Fileutils.py | py | 11,999 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.access",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "os.F_OK",
"line_number": 52,
"usage_type": "attribute"
},
{
"api_name": "os.path.split",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 53,... |
405595406 | import logging
from flask import jsonify, request
import flask_login
from server import app
from server.util.request import arguments_required, json_error_response
from server.cache import cache
from server.auth import user_mediacloud_key, user_mediacloud_client
logger = logging.getLogger(__name__)
@app.route('/api/... | null | server/views/topics/topic.py | topic.py | py | 2,062 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "server.auth.user_mediacloud_client",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "flask.request.args.get",
"line_number": 16,
"usage_type": "call"
},
{
"api_n... |
557303441 | #Created by Geferson Lucatelli ##lokon_GefNRock
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import matplotlib.pyplot as plt #import package to plot graphics as the abreviation plt
DATE=[] #array that save the variable date
TIME=[] #save variable time
G_A_POWER=[] ... | null | plot.py | plot.py | py | 2,032 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.hist",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "mat... |
524662504 | # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~#
"""
BLIS - Balancing Load of Intermittent Solar:
A characteristic-based transient power plant model
Copyright (C) 2020. University of Virginia Licensing & Ventures Group (UVA LVG). All Rights Reserved.
Permission is hereby granted, free ... | null | projects/sCO2_feasibility/run_single_case_sCO2.py | run_single_case_sCO2.py | py | 3,567 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "time.time",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "blis.Solar",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "blis.Battery",
"line_number"... |
496667270 | # -*- coding: utf-8 -*-
#
# Copyright @2015 jinlong.yang.
#
# Author: jinlong.yang <yangjinlong>
#
import os
import time
import json
import signal
import multiprocessing
from oslo.config import cfg
from osmo.app.application import QApplication
from osmo.core import log as logging
from push.util.rmq import RabbitmqCo... | null | push/ios/apns_push/app.py | app.py | py | 3,784 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "osmo.core.log.getLogger",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "osmo.core.log",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "oslo.config.cfg.StrOpt",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "oslo.con... |
561200616 | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import itertools
import random
import typing as tp
import numpy as np
from . import core
from . import container
from . i... | null | nevergrad/parametrization/helpers.py | helpers.py | py | 4,757 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "typing.List",
"line_number": 48,
"usage_type": "attribute"
},
{
"api_name": "typing.Dict",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "random.shuffle",
"line_number": 91,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"li... |
186305582 | # -*- coding: utf-8 -*-
import re
import scrapy
from zhengce.items import failurl, zhengCejd
from parse_tools.parseTools import get_urls, get_text, get_next_pages,get_js_webpage, get_page_count
from datetime import datetime
class A14ShanxZcjdSpider(scrapy.Spider):
name = '14_shanx_zcjd'
allowed_domains = ['ww... | null | spdiers/govenment/zhengce/spiders/14_shanx_zcjd.py | 14_shanx_zcjd.py | py | 2,644 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "scrapy.Spider",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "parse_tools.parseTools.get_urls",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "parse_tools.parseTools.get_page_count",
"line_number": 20,
"usage_type": "call"
},
... |
97387853 | #!/usr/bin/env python
"""Implementation of the ParserStrategy for the TailWatch"""
import sys
if sys.version_info < (3,):
from ConfigParser import ConfigParser
else:
from configparser import ConfigParser
from functools import wraps
import datetime
import logging
import logging.handlers
import itertools
impor... | null | swiftsystem/monitor_events.py | monitor_events.py | py | 21,148 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.version_info",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
... |
466080751 | # Django settings for kitsune project.
import os
import logging
DEBUG = True
TEMPLATE_DEBUG = DEBUG
LOG_LEVEL = logging.DEBUG
ROOT = os.path.dirname(os.path.abspath(__file__))
path = lambda *a: os.path.join(ROOT, *a)
ADMINS = (
# ('Your Name', 'your_email@domain.com'),
)
MANAGERS = ADMINS
DATABASES = {
'de... | null | settings.py | settings.py | py | 4,097 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.DEBUG",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"l... |
58501615 | # -*- coding: utf-8 -*-
import counter
import time
import matplotlib
matplotlib.use('Agg')
import pylab as p
import io
import html
import numpy as np
import datetime
class c(counter.counter):
def __init__(self, name, attr, rot,
title=None,
graph=None,
formatkey=str,
formatgraphkey... | null | counters/game.py | game.py | py | 13,055 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.use",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "counter.counter",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "time.time",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_nu... |
596116935 | # -*- coding: utf-8 -*-
"""
Created on Mon Jan 15 16:37:44 2018
@author: justin gomes
"""
import shockTube_constant_volume as shock
import matplotlib as mpl
from pylab import savefig
import pandas as pd
#establish paramters
ctiFile = 'mecph_v2b.cti'
speciesNames = ['ar']
pressure = 15 #atm
temperatur... | null | TmpModel_argon.py | TmpModel_argon.py | py | 2,836 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "shockTube_constant_volume.ShockTube",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "matplotlib.rcParamsDefault",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.rcParams",
"line_number": 41,
"usage_type": "attribute"
... |
560246998 | from datetime import datetime
from flask import request,send_file
from flask_restful import Resource,reqparse
from flask_jwt import jwt_required
from io import BytesIO
from models.product import ProductModel,ProductImageModel
import helper
import security
class Product(Resource):
parser=reqparse.RequestParser()
... | null | resources/product.py | product.py | py | 5,465 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask_restful.Resource",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "flask_restful.reqparse.RequestParser",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask_restful.reqparse",
"line_number": 11,
"usage_type": "name"
},
{
... |
108959561 | #!/usr/bin/env python3
#-*- coding = utf-8 -*-
import asyncio
import re
import threading
import aiohttp
import json
from pymongo import MongoClient
import glob
import os
import time
from concurrent.futures import ThreadPoolExecutor
from threading import Thread
from PIL import Image
from time import sleep
from concurre... | null | stock/stock/utils/processthreadgeventHandler.py | processthreadgeventHandler.py | py | 26,630 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "gevent.monkey.patch_all",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "gevent.monkey",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "os.path.splitext",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "os.path",
... |
603996816 | import argparse
import os
import time
from Utilities.pyUproot import GenericHist
def getComLineArgs():
parser = argparse.ArgumentParser()
parser.add_argument("-i", "--infile", type=str, required=True,
help="Input root file (output of makeHistFile.py)")
parser.add_argument("-a", "--a... | null | Utilities/configHelper.py | configHelper.py | py | 5,785 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "Utilities.pyUproot.GenericHist",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "Utilities.pyUproot.GenericHist",
"line_number": 62,
"usage_type": "call"
},
{
... |
406876108 | import random
import tensorflow as tf
from keras import backend as K
from keras.engine.topology import Layer
from keras.initializers import RandomUniform, Constant
import numpy as np
class LineLayer (Layer):
"""
Layer of sharp line units
Like tanh units, but compress horizontally to a constant width
... | null | linear.py | linear.py | py | 2,387 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "keras.engine.topology.Layer",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "keras.initializers.RandomUniform",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "keras.initializers.RandomUniform",
"line_number": 36,
"usage_type": "call"
... |
566712546 | #!/usr/bin/env python
"""
This script takes a file containing one or more feature definitions, that is
pointed to by the -f flag. It then writes each feature defition out to it's own
independent file in an autogenerated directory tree. If a base directory
is supplied with the -o flag, the features will be written ou... | null | split_features.py | split_features.py | py | 2,275 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "argparse.RawTextHelpFormatter",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"line_number": 36,
"usage_type": "call"
},
{
"api_nam... |
8781912 | import discord
from discord.ext import commands
class Super(commands.Cog):
def __init__(self, bot):
self.bot = bot
@commands.command(hidden = True, aliases = ['sp'])
async def superpost(self, ctx, title, description = None, image = None):
guild = self.bot.get_guild(578548442687864832)
member = awa... | null | code/cogs/super.py | super.py | py | 1,893 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "discord.utils.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "di... |
89371534 | import numpy as np
import torch
from torch.autograd import Variable
from matplotlib import pyplot as plt
N, D_in, H, D_out = 64, 1000, 100, 10
x = Variable(torch.randn(N, D_in))
y = Variable(torch.randn(N, D_out), requires_grad=False)
model = torch.nn.Sequential(
torch.nn.Linear(D_in, H),
to... | null | dl-frameworks-intro/nn1_pytorch_v3.py | nn1_pytorch_v3.py | py | 859 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.autograd.Variable",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torch.randn",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torch.autograd.Variable",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.randn... |
351599722 | from selenium.webdriver.common.action_chains import ActionChains
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.common.exceptions import *
#https://selenium-python.readthedocs.io/api.html#selenium.webdriver.remote.webelement.WebElem... | null | python/testingWanAndroid/features/lib/pages/base_page_object.py | base_page_object.py | py | 3,498 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "selenium.webdriver.support.ui.WebDriverWait",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.support.expected_conditions.presence_of_element_located",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.support... |
158801825 | import hashlib
import ecdsa
import os
from binascii import hexlify
def random_secret_exponent(curve_order):
while True:
bytes = os.urandom(32)
random_hex = bytes.hex()
random_int = int(random_hex, 16)
if random_int >= 1 and random_int < curve_order:
return r... | null | generate_ecdsa.py | generate_ecdsa.py | py | 1,012 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.urandom",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "ecdsa.curves",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "ecdsa.keys",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "hashlib.sha256",
"lin... |
558132381 | import pandas as pd
import numpy as np
df = pd.read_csv('all_black_list.csv', encoding='gbk')
from sklearn.model_selection import StratifiedShuffleSplit
split = StratifiedShuffleSplit(n_splits=1, test_size=0.2, random_state=42)
for train_index, test_index in split.split(df, df['label']):
strat_train_set = df.loc... | null | create_test_data_for_indicator.py | create_test_data_for_indicator.py | py | 618 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.read_csv",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.StratifiedShuffleSplit",
"line_number": 8,
"usage_type": "call"
}
] |
340625134 | """The command for archiving a smart list."""
from dataclasses import dataclass
from jupiter.core.framework.base.entity_id import EntityId
from jupiter.core.framework.event import EventSource
from jupiter.core.framework.use_case import (
ContextProgressReporter,
UseCaseArgsBase,
)
from jupiter.core.use_cases.i... | null | src/core/jupiter/core/use_cases/smart_lists/archive.py | archive.py | py | 3,185 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "jupiter.core.framework.use_case.UseCaseArgsBase",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "jupiter.core.framework.base.entity_id.EntityId",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "dataclasses.dataclass",
"line_number": 16,
... |
379367245 | #coding: utf-8
from __future__ import unicode_literals, absolute_import
from django.conf.urls import patterns, url
from fias.views import (SuggestAddressViewStepByStep,
SuggestBySphinx,
GetAreasListView)
urlpatterns = patterns('',
url(r'^suggest_... | null | fias/urls.py | urls.py | py | 598 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.conf.urls.patterns",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "fias.views.SuggestAddressViewStepByStep.as_view",
"line_number": 11,
"usage_type": "call"
... |
335272952 | import cv2
import numpy as np
from setuptools import glob
#Initiate webcam
webCam = cv2.VideoCapture(0)
# criteria for termination
criteria = (cv2.TERM_CRITERIA_EPS + cv2.TERM_CRITERIA_MAX_ITER, 30, 0.001)
# prepering obk=ject point like (0, 0, 0), (1,0,0) and etc
objp = np.zeros((6*7, 3), np.float32)
objp[:, :2] = ... | null | arboard.py | arboard.py | py | 2,891 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.TERM_CRITERIA_EPS",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "cv2.TERM_CRITERIA_MAX_ITER",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name... |
478375188 | '''
This test client runs against the Autobahn test server. It is based on the
test_client.py in wsproto.
'''
import argparse
import logging
from urllib.parse import urlparse
import trio
from trio_websocket import WebSocketClient, ConnectionClosed
AGENT = 'trio-websocket'
logging.basicConfig()
logger = logging.getLo... | null | autobahn/client.py | client.py | py | 2,985 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.basicConfig",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "urllib.parse.... |
490114351 | import datetime
from rest_framework import viewsets, status
from rest_framework.decorators import detail_route
from rest_framework.generics import get_object_or_404, ListAPIView
from rest_framework.response import Response
from apps.core.views import BaseLoginRequired
from .permissions import AssignmentPermission
fr... | null | pelin_api/apps/assignment/views.py | views.py | py | 4,412 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "apps.core.views.BaseLoginRequired",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "rest_framework.viewsets.ModelViewSet",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.viewsets",
"line_number": 15,
"usage_type": "n... |
472044890 | ###
# Copyright (c) 2014, James Lu
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source code must retain the above copyright notice,
# this list of conditions, and... | null | PkgInfo/plugin.py | plugin.py | py | 14,651 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "supybot.i18n.PluginInternationalization",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "supybot.callbacks.Plugin",
"line_number": 62,
"usage_type": "attribute"
},
{
"api_name": "supybot.callbacks",
"line_number": 62,
"usage_type": "name"
},
... |
469611761 | # -*- coding: utf8 -*-
#
# Created by 'myth' on 10/24/15
from django.conf.urls import patterns, url
from apps.gallery.dashboard.views import (
GalleryIndex,
GalleryDetail,
GalleryUnhandledIndex,
GalleryUpload,
GalleryDelete,
GalleryUnhandledDelete
)
urlpatterns = patterns(
'apps.gallery.d... | null | apps/gallery/dashboard/urls.py | urls.py | py | 947 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.conf.urls.patterns",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "apps.gallery.dashboard.views.GalleryIndex.as_view",
"line_number": 20,
"usage_type": "call... |
42608754 | import hashlib
import string
import itertools
from md5fun import get_lines, get_word_permutations
def get_substitute_dict():
common_substitutions = {
'a': ['@'],
'b': ['8'],
'c': ['('],
'd': ['6'],
'e': ['3'],
'f': ['#'],
'g': ['9'],
'h': ['#'],
... | null | lab 3/md5_part6.py | md5_part6.py | py | 6,709 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "itertools.combinations_with_replacement",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "itertools.permutations",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "hashlib.md5",
"line_number": 136,
"usage_type": "call"
},
{
"api_n... |
453079734 | import random
from time import sleep
from decimal import Decimal
from collections import deque
from pdb import set_trace
from math import sqrt
from packetsD import *
from enum import Enum
from visualGraph import *
from threading import Timer
class State(Enum):
VULNERABLE = 0
INFECTED = 1
RECOVERED = 2
def dist(... | null | Prove/DISCOVER/carD.py | carD.py | py | 5,217 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "enum.Enum",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "math.sqrt",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "random.random",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 85,... |
306481384 | import logging
import logging.config
from os import environ
from os.path import (
join,
dirname,
abspath,
)
import config
env_config_key = environ.get('NIGHTPARTY_TORNADO', 'DEVELOPMENT')
config = config.from_yaml(
join(dirname(abspath(__file__)), 'config.yaml'),
env_config_key,
)
globals().updat... | null | settings.py | settings.py | py | 413 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.environ.get",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "config.from_yaml",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_n... |
353806204 | from django.shortcuts import render
from apps.dashboard.models import *
from apps.resources.models import *
from datetime import datetime
def index(request):
#get contact count
contact_count = 32
#get faqs count
faqs_count = 12
#get live chat count
livechat_count = 100
#get... | null | apps/support/views.py | views.py | py | 2,157 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "datetime.datetime.now",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "django.shortcuts.render",
"line_number": 66,
"usage_type": "call"
}
] |
353951288 | import pygame
from pygame.sprite import Sprite
class Alien(Sprite):
"""Klasa przedstawiająca jednego obcego w grze."""
def __init__(self, ai_game):
"""Inicjalizacja obcego i jego położenie początkowe."""
super().__init__()
self.screen = ai_game.screen
self.settings = ai_game.s... | null | alien.py | alien.py | py | 1,195 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pygame.sprite.Sprite",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "pygame.image.load",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pygame.image",
"line_number": 15,
"usage_type": "attribute"
}
] |
566188211 | """
MIT License
-----------
Copyright (c) 2021 University of Malaga
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, modif... | null | tests/spike/test_simulation_01.py | test_simulation_01.py | py | 26,085 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.loadtxt",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "context.camis.AnisotropicMap",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "context.cami... |
14775612 | #!/usr/bin/env python
'''
Created on 30/08/2012
@author: mattg
specific ffmpeg proxy
'''
__author__ = 'Matt Gidney'
__version__ = '1.0'
__date__ = '2013/03/10'
import os,sys,subprocess,argparse
from AL.apps.Binocular.utilities import utils
###############################################################
import loggin... | null | python/Binocular/proxy/pix_ffmpeg.py | pix_ffmpeg.py | py | 5,946 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "logging.StreamHandler",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "logging.IN... |
35268557 | import socket
import termcolor
def scan(targets, ports):
print('\n' + 'Starting Scan For ' + str(targets))
for port in range(1,ports):
scan_port(targets, port)
def scan_port(ipaddress, port):
try:
sock = socket.socket()
sock.connect((ipaddress, port))
print ("[+] port open:... | null | port_scanner.py | port_scanner.py | py | 759 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "socket.socket",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "termcolor.colored",
"line_number": 24,
"usage_type": "call"
}
] |
459467884 | import cv2
import numpy as np
import matplotlib.pyplot as plt
from cv2 import cv2 as cv
import os, requests, wget
def store_raw_images():
jetbot_images_link = 'https://www.google.com/search?q=road+with+signs&sxsrf=ALeKk01WPahvxB5yzHLceatat1nuVY1u2w:1608091891097&source=lnms&tbm=isch&sa=X&ved=2ahUKEwjG9byP0dHtAhW... | null | datas/Proj_jetbot_img_down0.py | Proj_jetbot_img_down0.py | py | 901 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "wget.download",
"line_number": 17,
"usage_type": "call"
}
] |
260101403 | """
Auhor: Winston Appleton
Date Created: June 16, 2020
Description: This progran is written to satisfy the requirements for the Udacity Nano degree in Programming for Data Science
"""
import time
import datetime as dt
import pandas as pd
CITY_DATA = {'chicago': 'chicago.csv',
'new york': 'new_york_city.... | null | bikeshare.py | bikeshare.py | py | 7,574 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.read_csv",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "pandas.to_datetime",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "pandas.to_datetime",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "pandas.Timestam... |
461370522 | #!/usr/bin/python
# -*- coding: utf-8 -*-
import shutil
from crypt import *
from paths import AppPath
from msgbase import MessageBase
from compress import *
from logger import Log
from PyQt4 import QtGui
from configs import Configs
from PyQt4 import QtCore
from mariadb import MariaDB
from upload import UploadWindow
fr... | null | send.py | send.py | py | 11,511 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "PyQt4.QtGui.QMessageBox.warning",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "PyQt4.QtGui.QMessageBox",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "PyQt4.QtGui",
"line_number": 27,
"usage_type": "name"
},
{
"api_name... |
514331504 | """
Functions to unpack Simrad EK60 .raw files
Modification from original source (cited below) included:
- python 3.6 compatibility
- stripped off mi-instrument dependency to make this standalone
To be added:
- need a generic .raw filename parser
- restore logging function
- restore exception handler
Original source ... | null | echopype/convert/ek80.py | ek80.py | py | 23,700 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "re.compile",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "re.DOTALL",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.dates.date2num",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "datetime.datetime... |
246682807 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
###############################################################################
# Copyright 2014 Kitware Inc.
#
# 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 cop... | null | tests/mongo_replicaset.py | mongo_replicaset.py | py | 12,008 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "time.time",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "pymongo.MongoClient",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "pymongo.errors",
"line_nu... |
295235004 |
### outputs topics-out.txt
### which contains the highest probability words in each topic
### you may have to install nltk, http://nltk.org/install.html
import nltk
import pickle
import math
import matplotlib
matplotlib.use('Agg')
import numpy as np
import matplotlib.pyplot as plt
global __samples_for_graph__topic_... | null | analyze.py | analyze.py | py | 6,759 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.use",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "nltk.FreqDist",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "nltk.FreqDist",
"line_nu... |
229523391 | # Average Turn Kill Simulator - Muck Rats
# Alters Land and Muck Rats counts. Performs no mulligan actions and assumes
# the play (no card drawn on first turn). Incorporates psuedo and quasi goldfish
# behavior. Psuedo-goldfish interacts based on conditional criteria and
# interaction counts. Quasi-goldfish inte... | null | ATK_Sim_MuckRats_PQG.py | ATK_Sim_MuckRats_PQG.py | py | 5,347 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.zeros",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.random.shuffle",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 55,
"usage_type": "name"
},
{
"api_name": "numpy.random.random",
... |
354974123 | """Unit tests for pytiled_parser"""
import xml.etree.ElementTree as etree
from contextlib import contextmanager
import pytest
from pytiled_parser import objects, utilities, xml_parser
@contextmanager
def does_not_raise():
yield
def _get_root_element(xml: str) -> etree.Element:
"""Get root element of strin... | null | tests/test_parser.py | test_parser.py | py | 6,233 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "contextlib.contextmanager",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "xml.etree.ElementTree.fromstring",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree",
"line_number": 24,
"usage_type": "argument"
},
{
... |
254853087 | from __future__ import print_function
import sys
import json
import logging
logger = logging.getLogger(__name__)
class DockerError(Exception):
pass
def pull_image(client, image):
parts = image.split(':', 1)
repository = parts[0]
tag = (parts[1] if len(parts) > 1 else 'latest')
logger.info("Pu... | null | docker_loader/utils.py | utils.py | py | 1,362 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.stdout.isatty",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "json.loads",
"... |
470505327 | # -*- coding:utf-8 -*-
#
# Copyright @ 2018 OPS Inc.
#
# Author: Jinlong Yang
#
import os
import pyotp
import qrcode
from oslo_config import cfg
from oslo_log import log as logging
LOG = logging.getLogger(__name__)
louis_opts = [
cfg.StrOpt('issuer', help='qrcode uri issuer name.')
]
CONF = cfg.CONF
CONF.regis... | null | otp/core.py | core.py | py | 1,618 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "oslo_log.log.getLogger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "oslo_log.log",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "oslo_config.cfg.StrOpt",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "oslo_confi... |
532008689 | from flask import Blueprint, render_template, send_file, jsonify, request
import database
import qq
import json
import maya
from .models import DBSession
api = Blueprint('api', __name__)
COLOR_RED = {
"red": 196,
"green": 2,
"blue": 51
}
COLOR_YELLOW = {
"red": 255,
"green": 211,
"blue": 0
... | null | app/api_controller.py | api_controller.py | py | 2,751 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Blueprint",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "qq.get_all_users",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "qq.get_user_data",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "maya.parse",
"li... |
545459095 | from StSerial import StSerial
from PyQt5 import QtWidgets
from socketSetDialog import Ui_Dialog
import logging
logger = logging.getLogger('main.MainWindow')
class SerialDlg_UiHandler(QtWidgets.QDialog):
def __init__(self, parent=None):
QtWidgets.QDialog.__init__(self)
logger.info('Dialog Window ... | null | SerialDlg_UiHandler.py | SerialDlg_UiHandler.py | py | 801 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QDialog",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtWidgets",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtW... |
480515979 | '''
使用 requests模块 爬取起点中文的章节内容地址。
选择的小说为：从吞噬开始
网址：https://book.qidian.com/info/1015216119
分析：
1、获取网页内容
2、使用正则先匹配整个章节目录
3、解析每个章节的内容地址
4、将内容保存到 BookInfo.txt 中
'''
import requests,re
html = requests.get("https://book.qidian.com/info/1015216119#Catalog")
# 匹配整个章节目录
dirTest = re.findall('<ul class="cf">(.... | null | 简单爬虫的项目整理/Test1.py | Test1.py | py | 818 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "re.S",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "re.findall",
"line_number": 22,... |
390301076 | from django.shortcuts import render,get_object_or_404, redirect
#from userModule.models import Kitchen
from django.urls import reverse
from serviceProviderApp.models import Kitchen2Register,menuItem
from cart.forms import CartAddProductForm
from django.views.generic.edit import CreateView,DeleteView,UpdateView
from dja... | null | userModule/views.py | views.py | py | 6,893 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "serviceProviderApp.models.Kitchen2Register.objects.all",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "serviceProviderApp.models.Kitchen2Register.objects",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "serviceProviderApp.models.Kitchen2... |
303178453 | from django.core.exceptions import ObjectDoesNotExist
from hkm.models.campaigns import CampaignStatus, Campaign
from hkm.models.models import ProductOrderCollection
class OrderCreator(object):
def validate_basket(self, basket):
# For now validate that discounts are still valid
for line in basket... | null | hkm/basket/order_creator.py | order_creator.py | py | 1,844 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "hkm.models.campaigns.Campaign.objects.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "hkm.models.campaigns.Campaign.objects",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "hkm.models.campaigns.Campaign",
"line_number": 12,
"... |
323053656 | from django.shortcuts import render
from doodles.models import Doodles
from gallery.models import GalleryImages
def index(request):
"""
Function to return a view of the index page
"""
doodles = Doodles.objects.all()
doodles = doodles.order_by("-updated_at")[:4]
gallery_images = GalleryImages.... | null | home/views.py | views.py | py | 546 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "doodles.models",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "doodles.models.Doodles.objects.all",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "doodles.models.Doodles.objects",
"line_number": 11,
"usage_type": "attribute"
},
{
... |
326380907 | #! python
import argparse
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('-i', help='input score file')
parser.add_argument('-o', help='output average-score file')
args = parser.parse_args()
print('** convert result for bleurt **')
print(' input : '+str(arg... | null | evaluation/m_bleurt_calc_average_score.py | m_bleurt_calc_average_score.py | py | 730 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 6,
"usage_type": "call"
}
] |
13390313 | #!/usr/bin/python
import os.path as path
from csv import DictReader
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.ticker import FuncFormatter, FormatStrFormatter, PercentFormatter
ROOT_DIR = '/home/mrapp/Dropbox/Promotion/Papers/Boomer/Experimente/results_round5/evaluation/'
DATASET = 'syntheti... | null | scripts/plot.py | plot.py | py | 4,816 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.pyplot.rc",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "os.path",
"li... |
567733274 | from django.shortcuts import render, HttpResponse, redirect
# from time import gmtime, strftime, localtime
from datetime import datetime
# Create your views here.
def index(request):
context = {
# "time": strftime("%Y-%m-%d %H:%M %p", datetime.datetime.now())
"date": datetime.now().strftime("%B %d, %Y"),
... | null | Week_5/time_display_assignment/apps/time_display/views.py | views.py | py | 435 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "datetime.datetime.now",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.now",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "datetime.... |
390384680 | import calendar
import datetime
import functools
import itertools
import operator
import re
def apply_delta(dt, delta):
"""Apply datetime delta in string format to a datetime object.
:param datetime dt:
:param str delta:
:rtype: :py:class:`datetime.DateTime` instance
>>> base = datetime.datetim... | null | charlatan/utils.py | utils.py | py | 4,105 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "re.split",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "operator.add",
"line_number": 50,
"usage_type": "attribute"
},
{
"api_name": "operator.sub",
"line_number... |
159855953 | import shutil
import torchfile
from pathlib import Path
import cv2
import tqdm
import numpy as np
import os
import multiprocessing as mp
import utils
import scipy.io as sio
import glob
def task(img_path):
img_path = str(img_path)
pts_3d_path = img_path.replace('jpg', 't7')
token = img_path.split('/')
... | null | crop_300VW.py | crop_300VW.py | py | 1,829 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cv2.imread",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "torchfile.load",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "utils.read_pts",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "utils.crop_multi_face_landma... |
635418354 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.utils import timezone
from django.db import migrations, models
import dsmr_stats.services
def realign_gas_readings(apps, schema_editor):
""" Alters the read_at value by the offset given and purges all existing statistics. """
# We u... | null | dsmr_consumption/migrations/0003_realign_gas_read_at.py | 0003_realign_gas_read_at.py | py | 1,253 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.db.models.F",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "django.db.models",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "django.utils.timezone.timedelta",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "d... |
213343591 | import datetime
import os
import sys
import numpy as np
import pandas as pd
from paths import chemical_name, file_type, use_lookup, max_drift, nl48, master_list, col_include_output, cult_crop, \
orchards_crops, pastures, residential, forest, row, acres_col, root_path, folder_path, folder_path_census, \
folder... | null | 7b_Generate Final Chemical Tables/Step2a_Tables_overlap_seed.py | Step2a_Tables_overlap_seed.py | py | 77,811 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "paths.errors",
"line_number": 25,
"usage_type": "argument"
},
{
"api_name": "paths.errors",
"line_number": 27,
"usage_type": "argument"
},
{
"api_name": "sys.exit",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "paths.file_type",
"lin... |
250184872 | import logging
import os
import pathlib
import sys
from dateutil.parser import parse as tparse
logger = logging.getLogger(__name__)
logger.setLevel(logging.ERROR)
stdout_handler = logging.StreamHandler(sys.stdout)
if os.environ.get("GIRDERFS_DEBUG"):
stdout_handler.setLevel(logging.DEBUG)
else:
stdout_handler... | null | girderfs/utils.py | utils.py | py | 794 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "logging.ERROR",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "logging.StreamHandler",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sys.stdout",... |
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