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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
636168212 | import logging
import sys
import stat
import os
import ctypes
import types
EXT2_GOOD_OLD_REV = 0 # The good old (original) format.
EXT2_DYNAMIC_REV = 1 # V2 format w/ dynamic inode sizes.
EXT2_N_BLOCKS = 15
EXT2_N_DIR_BLOCKS = 12
EXT2_NAME_LEN = 255
EXT2_GOOD_OLD_INODE_SIZE = 128
# Special inodes nu... | null | ext2_filesystem.py | ext2_filesystem.py | py | 12,898 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "stat.S_IFDIR",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "stat.S_IFREG",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "stat.S_IFLNK",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "stat.S_IFCHR",
... |
474797789 | from enum import Enum, unique
from typing import List
from .actions import RuleAction
from .collectors import CollectorConfig
from .conditions import RuleCondition
from .primitives.base import attribute, BaseTolokaObject
from .task_distribution_function import TaskDistributionFunction
class QualityControl(BaseToloka... | null | src/client/quality_control.py | quality_control.py | py | 1,983 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "primitives.base.BaseTolokaObject",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "primitives.base.BaseTolokaObject",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "enum.Enum",
"line_number": 18,
"usage_type": "name"
},
{
"api_n... |
376668391 | import pygame
# Game parameters
FRAME_RATE = 60
NO_CELLS = 16
CELL_SIZE = 32
SCREEN_WIDTH = NO_CELLS * CELL_SIZE
SCREEN_HEIGHT = NO_CELLS * CELL_SIZE
# Colors
black = 0, 0, 0
gridColor = 255,0,0
class grid(object):
"""docstring for grid."""
def __init__(self):
super( grid, self).__init__()
se... | null | init.py | init.py | py | 1,756 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pygame.draw.line",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pygame.draw",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "pygame.draw.line",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pygame.draw",
... |
561168189 | from setuptools import setup, find_packages
import os
version = '1.2.4.dev0'
setup(name='plone.app.textfield',
version=version,
description="Text field with MIME type support",
long_description=open("README.rst").read() + "\n" +
open(os.path.join("docs", "HISTORY.rst")).read()... | null | setup.py | setup.py | py | 1,568 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "setuptools.setup",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "setuptools.find_packages",
... |
353279201 | # -*- coding: utf-8 -*-
"""
Module implementing WriteEmailDialog.
"""
from PyQt4 import QtGui
from PyQt4.QtCore import pyqtSlot
from PyQt4.QtGui import QDialog
from PyQt4.QtGui import QMessageBox
from email.mime.base import MIMEBase
from email.header import Header
from email import encoders
from email.encoders import ... | null | Email/Libs/writemail.py | writemail.py | py | 3,622 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "PyQt4.QtGui.QDialog",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "Ui_writemail.Ui_WriteEmailDialog",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "DealJsonFile.GetJsonInfo",
"line_number": 32,
"usage_type": "call"
},
{
"api... |
153500631 | #1. TrainTheModel.
# Sfyridaki Angeliki cs151036
# Mhxanikwn plhroforikhs
# cs151036@uniwa.gr
# Part 2
from random import seed
from random import randint
from numpy import array
from math import ceil
from math import log10
from numpy import argmax
from keras.models import Sequential
from keras.layers import... | null | Assignment3/LSTM/TrainTheModel.py | TrainTheModel.py | py | 6,124 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "random.randint",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "math.ceil",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "math.log10",
"line_number... |
155125841 | import pandas as pd
import numpy as np
import datetime as dt
import xarray as xr
import time
print(dt.datetime.now(), 'Inicializando')
start1 = time.time()
with xr.open_dataset('../teste_ECMWF_3meses.grib2', engine='cfgrib') as ds:
grbs = ds.to_dataframe()
grbs = grbs.iloc[:,-1].rename('chuva_acum').reset_index(... | null | Sispshi3/Programas/ecmwf_3meses.py | ecmwf_3meses.py | py | 700 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "datetime.datetime.now",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "time.time",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "xarray.open_datas... |
329122987 | import pyttsx3
import speech_recognition as sr
import time
from threading import Thread
fall_words = ['help', 'ouch', 'fell', 'fall', 'testing']
r = sr.Recognizer()
engine = pyttsx3.init()
flag = -1
help_list = []
def speech_text(arg,idx,filename):
global flag
global help_list
file = sr.AudioFile(filenam... | null | test.py | test.py | py | 2,393 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "speech_recognition.Recognizer",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pyttsx3.init",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "speech_recognition.AudioFile",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": ... |
240754722 | import numpy as np
def infStd(*ifsets):
mus = np.minimum(*[ifset[0] for ifset in ifsets])
nus = np.maximum(*[ifset[1] for ifset in ifsets])
return (mus,nus)
def supStd(*ifsets):
mus = np.maximum(*[ifset[0] for ifset in ifsets])
nus = np.minimum(*[ifset[1] for ifset in ifsets])
return (mus,nus... | null | ifs_operators_plot.py | ifs_operators_plot.py | py | 6,576 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.minimum",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.maximum",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.maximum",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.minimum",
"line_num... |
127421140 | """ user tag """
from sqlalchemy import BigInteger, Column, ForeignKey
from sqlalchemy.orm import backref, relationship
from models.utils import Model, Wrapper
class UserTag(Wrapper,
Model):
userId = Column(BigInteger,
ForeignKey('user.id'),
primary_key=True... | null | models/user_tag.py | user_tag.py | py | 693 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "models.utils.Wrapper",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "models.utils.Model",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Bi... |
495537232 | import os
import datetime
import json
from flask import Flask, render_template, request, jsonify
from flask_socketio import SocketIO, emit
app = Flask(__name__)
app.config["SECRET_KEY"] = os.getenv("SECRET_KEY")
socketio = SocketIO(app)
# Channel class -- maintains a list of messages and users currently in the chann... | null | application.py | application.py | py | 6,978 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Flask",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask_socketio.SocketIO",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
... |
88906209 | import sys, os, pickle
import numpy as np
# sys.path.append(os.pardir)
from dataset.mnist import load_mnist
from PIL import Image
def img_show(img):
pil_img = Image.fromarray(np.uint8(img))
pil_img.show()
def get_data():
_, (x_test, y_test) = \
load_mnist(normalize=True, flatten=True, one_hot_lab... | null | Ch03/Neural_net_MNIST.py | Neural_net_MNIST.py | py | 1,332 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "PIL.Image.fromarray",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "numpy.uint8",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "dataset.mnist.load_mnist",
... |
122714656 | import numpy as np
import cv2
from PIL import Image
import os.path as osp
import os
import tensorflow as tf
from scipy.signal import savgol_filter
image_size_map={
'avenue':(360,640),
'shanghaitech':(480,856),
'ped1':(158,238),
'ped2':(240,360),
'umn':(240,320)
}
def data_preprocessing(img_path,ta... | null | utils/util.py | util.py | py | 4,651 | 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": "numpy.array",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number":... |
264866574 | import time
from selenium import webdriver
from selenium.webdriver.support.ui import Select
from selenium.common.exceptions import NoSuchElementException
from selenium.common.exceptions import WebDriverException
import json
import pandas as pd
def scrape_classes(term, args, frame=None):
driver = webdriver.Firefox... | null | rhode_combined.py | rhode_combined.py | py | 6,992 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "selenium.webdriver.Firefox",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "selenium.web... |
307914212 | # -*- coding: utf-8 -*-
"""
pytests for Rechunk h5
"""
import numpy as np
import os
import pandas as pd
from pandas.testing import assert_frame_equal
import pytest
from scipy.stats import pearsonr, spearmanr, kendalltau
from reVX import TESTDATADIR
from reVX.hybrid_stats.hybrid_stats import (HybridStats,
... | null | tests/test_hybrid_stats.py | test_hybrid_stats.py | py | 8,704 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "scipy.stats.pearsonr",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "scipy.stats.spearmanr",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "scipy.stats.kendalltau",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "os.... |
87290715 | #!/usr/bin/env python
from __future__ import print_function
import collections
import functools
import unittest
@functools.total_ordering
class Bag(object):
def __init__(self, str):
self.c = collections.Counter([c.lower() for c in str])
def empty(self):
return len(self.c) == 0
def __eq... | null | python/bag.py | bag.py | py | 2,137 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.Counter",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "functools.total_ordering",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": ... |
71324598 | from argparse import ArgumentParser
from concurrent.futures import wait
from django.core.management.base import BaseCommand
from django.db.models import Count, F
from radiofeed.feedparser import feed_parser, scheduler
from radiofeed.feedparser.exceptions import FeedParserError
from radiofeed.futures import ThreadPool... | null | radiofeed/feedparser/management/commands/parse_feeds.py | parse_feeds.py | py | 2,133 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "radiofeed.futures.ThreadPoolExecutor",
"line_number": 38,
"usage_type": "... |
600260992 | """
Program: Employee.py
Author: Rajiv Malhotra
Last Modified Date: 11/25/2020
Program contains the Person and Employee class. It also validates the attributes of an Employee.
It also calculates the approx retirement balance for an employee.
"""
import re
import datetime
class Person:
"""Person class"""
# C... | null | classes/Employee.py | Employee.py | py | 3,774 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "re.compile",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 75,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 75,
"usage_type": "attribute"
}
] |
78558312 | # -*- coding: utf-8 -*-
"""
Created on Fri Mar 1 19:01:22 2019
@author: 683898
"""
import numpy as np
import os
from PIL import Image
from configparser import ConfigParser
class Canvas:
def __init__(self,outPtah):
self.outpath=outPtah
pass
def PlotImage(self,imgdict,ImagePath):
... | null | utility/Image.py | Image.py | py | 2,844 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "PIL.Image.open",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "numpy.copy",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number... |
448157016 | from __future__ import division
import json
import codecs
def compute_author_hindex(record,year_t = 10000):
cite_num = []
for v in record:
num = 0
for year,n in v[1].items():
if int(float(year)) <= year_t:
num += n
cite_num.append(num)
cite_num.sort(rev... | null | extract_feature.py | extract_feature.py | py | 5,693 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "codecs.open",
"line_number": 74,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 75,
"usage_type": "call"
},
{
"api_name": "codecs.open",
"line_number": 87,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 88,
... |
355988506 | """
Perform Bayesian Optimization with the Risk Neutral
surrogate computed via Monte Carlo on a GP for the
function.
"""
import sys
sys.path.insert(1, '../')
import numpy as np
from bayesopt import BayesianOptimization
from sklearn.gaussian_process.kernels import WhiteKernel, ConstantKernel, RBF
from surrogate impor... | null | examples/BO_MCRiskNeutral.py | BO_MCRiskNeutral.py | py | 2,290 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.path.insert",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "numpy.exp",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.eye",
"line_number": ... |
327423264 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
from setuptools import setup, find_packages
def parse_requirements(filename):
"""Parse requirement file and transform it to setuptools requirements
"""
from pip.req import parse_requirements as _parse_requirements
if os.path.exists(filename):
... | null | pypi_install_script/qa_tests-0.3.0.tar/setup.py | setup.py | py | 1,017 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.exists",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "pip.req.parse_requirements",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "setuptools.set... |
608997072 | # -*- encoding: utf-8 -*-
import asyncio
import lxml.html
from django.conf import settings
from feedgen.feed import FeedGenerator
from requests_html import AsyncHTMLSession
ATTEMPTS_PER_ENTRY = 5
async def _get_audio_url(article_url):
session = AsyncHTMLSession()
r = await session.get(article_url, timeout=2... | null | manabi/apps/reader_feeds/watanoc.py | watanoc.py | py | 2,957 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests_html.AsyncHTMLSession",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "feedgen.feed.FeedGenerator",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "requests_html.AsyncHTMLSession",
"line_number": 75,
"usage_type": "call"
}
] |
318370888 | from typing import Union
from cyvcf2 import VCF, Variant
import os
import re
from sqlalchemy.exc import IntegrityError, InvalidRequestError
from sqlalchemy.orm import Session
from covigator import MISSENSE_VARIANT
from covigator.database.model import Variant as CovigatorVariant, VariantObservation, \
SubclonalVaria... | null | covigator/pipeline/vcf_loader.py | vcf_loader.py | py | 13,976 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "typing.Union",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "covigator.database.model.Variant",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "covigator.database.model.SubclonalVariant",
"line_number": 42,
"usage_type": "name"
},
... |
85344626 | import inspect
import os
import discord
import psutil
from discord.ext import commands
from utilities import utils
class Information(commands.Cog):
def __init__(self, client):
self.client = client
@commands.command(name="about", aliases=["info"])
async def about(self, ctx):
"""
... | null | tutorial/cogs/copyinfo.py | copyinfo.py | py | 11,125 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "utilities.utils.ping",
"line_number": 22,
"usage_type": "call"
},
{
"api_name"... |
541808004 | """
Plot the rates from a CHEMKIN mechanism file
"""
import os
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
# Set plotting options
COLORS = ['k', 'b', 'r', 'g', 'm', 'y', 'c', '#ff9333']
LINESTYLES = ['-', '--', '-.']
MARKERS = ['.', 'o', 's']
FONT = {'size': 14}
matplotlib.rc('font', **FONT)... | null | chemkin_io/plotter/sm_rates.py | sm_rates.py | py | 7,409 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.rc",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 50,
"usage_type": "attribute"
},
{
"api_name": "os.mkdir",
"line_number... |
76361345 | import torch
import torch.nn as nn
import torch.nn.functional as F
import torchvision
device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')
# Image preprocessing modules
transform = torchvision.transforms.Compose([
torchvision.transforms.Pad(4),
torchvision.transforms.RandomHorizontalFlip(),... | null | RESNET.py | RESNET.py | py | 5,847 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.device",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "torchvision.transfo... |
623147709 | from time import strptime, strftime
import RPi.GPIO as GPIO
import config
from chilli_pi.models import SensorData
def is_light_time():
start_time = strptime(config.light['start_time'], '%H:%M')
end_time = strptime(config.light['end_time'], '%H:%M')
current_time_str = strftime('%H:%M')
current_time = ... | null | jobs/handle_light_switch.py | handle_light_switch.py | py | 863 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "time.strptime",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "config.light",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "time.strptime",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "config.light",
"line_n... |
177421470 | # -*- coding: utf-8 -*-
###################################################################################
# A part of Open HRMS Project <https://www.openhrms.com>
#
# Cybrosys Technologies Pvt. Ltd.
# Copyright (C) 2018-TODAY Cybrosys Technologies (<https://www.cybrosys.com>).
# Author: Nilmar Shereef (<h... | null | employee_documents_expiry/models/employee_documents.py | employee_documents.py | py | 6,784 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "odoo.models.Model",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "odoo.models",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "odoo.fields.Many2one",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "odoo.fields",... |
47888935 | import load_data
import enums
from load_data import get_camp_fixtures
from export_football_data import label_columns
from machine_learning.utility import load_sklearn_model
import numpy as np
from sklearn.linear_model import SGDClassifier
from sklearn.neighbors import KNeighborsClassifier
import time
from datetime impo... | null | MachineLearning/Poseidon_Predictor/machine_learning/Football/both_to_score/fin_bts.py | fin_bts.py | py | 2,930 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "load_data.load_data",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "enums.SportsType",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "enums.CampType",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "load_da... |
233791298 | # -*- coding: utf-8 -*-
import json
from models import Product, Pricing
class Basket:
session = None
def __init__(self, session):
if session.get('basket') is None:
session['basket'] = "{}"
self.session = session
def _get_key(self, product_id, size_id=0):
"""
... | null | pim/trunk/catalog/basket.py | basket.py | py | 7,673 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "json.dumps",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "models.Product.objects.get",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "models.Product.objec... |
224255720 | #! /usr/bin/env python
import json, os, shutil
from os import makedirs
# Recursively copy src directory into dst directory
# excludes is a list of patterns to exclude
def copyall(src, dst, excludes=[]):
# ignores is a function to be passed to copytree
ignores = shutil.ignore_patterns(*excludes)
all_files ... | null | BranchSDK/tools/stage.py | stage.py | py | 1,870 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "shutil.ignore_patterns",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.isdir",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_n... |
260516073 | import random
import os.path
import jsonpickle
from discord.ext import commands
class Data(object):
def __init__(self):
self.main_channel = "test"
self.dm_name = ""
self.initialized = 0
# --------------- BOT SETUP ------------------
token_file = open("data/token", "r")
TOKEN = token_fi... | null | dndbot.py | dndbot.py | py | 2,415 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "discord.ext.commands.Bot",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "discord.ext.commands",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "random.shuffle",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path.... |
174584185 | # Import required modules for the project
import pandas as pd
import numpy as np
import plotly.graph_objs as go
from plotly.subplots import make_subplots
import streamlit as st
# Set a password
password = st.text_input("Please Enter Your Password to Proceed")
if password =="6925tA":
# Read in actual reve... | null | reed-share.py | reed-share.py | py | 9,622 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "streamlit.text_input",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "streamlit.radio",... |
444374161 | # %%
import qutip.control.pulseoptim as cpo
import matplotlib.pyplot as plt
from qutip import *
import numpy as np
from qutip import Qobj, identity, sigmax, sigmaz
from qutip.qip import hadamard_transform
import qutip.logging_utils as logging
logger = logging.get_logger()
# Set this to None or logging.WARN for 'quiet' ... | null | environment/benchmark.py | benchmark.py | py | 2,290 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "qutip.logging_utils.get_logger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "qutip.logging_utils",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "qutip.logging_utils.INFO",
"line_number": 11,
"usage_type": "attribute"
},
{
"ap... |
516197250 | # Lists the released and testing opponents in listing.xml (with path
# to listing.xml prepended)
from __future__ import print_function
import sys
import xml.etree.ElementTree as ET
import os
if len(sys.argv) > 1:
filename = sys.argv[1]
directory_name = os.path.dirname(filename)
else:
directory_name = ... | null | opponents/list_opponents.py | list_opponents.py | py | 609 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.argv",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
36658757 | from pwn import *
from pwn import log as Log
from time import sleep
def log(title,value):
Log.info(title + ": {} ".format(hex(value)))
period = 0.05
def include(priority,command):
p.sendline("1")
p.recv(8000)
p.sendline(str(priority))
p.recv(8000)
p.send(command)
sleep(period)
p.recv(... | null | pwn2win/pwn/at_your_command/solver.py | solver.py | py | 1,936 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pwn.log.info",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pwn.log",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 16,
"usage_type": "call"
}
] |
434204443 | import random, itertools
import numpy as np
#N cubes implementation
class Dolphinn:
def __init__(self, P, D, K, N):
self.P=P
self.D=D
self.K=K
self.N = N
self.h = [0 for i in range (N)]
self.cubes = [0 for i in range(N)]
for k in range(N):
... | null | dolphinn.py | dolphinn.py | py | 2,248 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.random.multivariate_normal",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "numpy.zeros",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.... |
529904141 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('assets', '0001_initial'),
]
operations = [
migrations.CreateModel(
name='Tenant',
fields=[
... | null | assetmanager/assetmanager/assets/migrations/0002_tenant.py | 0002_tenant.py | py | 1,391 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.CreateModel",
"line_number": 14,
"usage_type": "call"
},
... |
471215549 | from urllib.request import Request, urlopen
import json
import bs4
import time
import requests
import copy
import os
def getDataRestoran(url):
hasilFinal = []
# with urllib.request.urlopen(url) as response:
# page = response.read()
req = requests.get(url, headers={"user-agent": "Mozilla/5.0 (Wind... | null | src/final.py | final.py | py | 3,522 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"... |
356269987 | #!/usr/bin/env python
import vtk
from vtk.test import Testing
from vtk.util.misc import vtkGetDataRoot
VTK_DATA_ROOT = vtkGetDataRoot()
#
# write to the temp directory if possible, otherwise use .
#
dir = "."
if (info.commands(globals(), locals(), "rtTester") == "rtTester"):
dir = rtTester.GetTempDirectory()
... | null | IO/MINC/Testing/Python/TestMNIObjects.py | TestMNIObjects.py | py | 3,803 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "vtk.util.misc.vtkGetDataRoot",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "vtk.vtkRenderer",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "vtk.vtkRenderer",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "vtk.vtkRe... |
444142534 | import os
import sys
from loguru import logger
current_path = sys.path[0]
sys.path.remove(current_path)
from git import Repo
sys.path.insert(0, current_path)
from joint_teapot.config import settings
class Git:
def __init__(
self,
org_name: str = settings.gitea_org_name,
repos_dir: str ... | null | joint_teapot/workers/git.py | git.py | py | 1,491 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "sys.path.remove",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "sys.path.insert",
"line_... |
53977016 | import sys
import networkx
class LTGraph(networkx.DiGraph):
def __init__(self):
super().__init__();
self.influenceWord = "influence";
self.thresholdWord = "threshold";
self.stateWord = "state";
# 0: inactive
# 1: selected by player 1 (AI)
# 2: propagated by ... | null | hw1/python_new/sample_strategy.py | sample_strategy.py | py | 4,266 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "networkx.DiGraph",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 116,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 117,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"li... |
630723173 | """
Tests for utils module
"""
from __future__ import absolute_import
import pytest
from ..utils import *
import numpy as np
try:
import ase
except ImportError:
ase = None
@pytest.fixture
def unsorted_atoms():
atoms = ase.Atoms("TiO2",
cell=[5, 5, 5],
position... | null | aiida_castep/tests/test_utils.py | test_utils.py | py | 1,887 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "ase.Atoms",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "ase.Atoms",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_nu... |
35158603 | #!/usr/bin/python
import unittest
import sys
import os
test_dir = (os.path.dirname(os.path.realpath(__file__)) + "/img_seqs")
project_path = os.path.dirname(os.path.dirname(os.path.realpath(__file__)))
sys.path.insert(0, project_path)
from filecheck import RenderFile
import config
test_files = ["/pig_v001.0001.ifd.... | null | tests/test_filecheck.py | test_filecheck.py | py | 2,336 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.dirname",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"lin... |
76702223 | from django.contrib import messages
from django.contrib.auth.mixins import LoginRequiredMixin
from django.urls import reverse_lazy
from django.views.generic.detail import DetailView
from django.views.generic.edit import CreateView, UpdateView
from resources.choices import RESOURCE_WAITING_FOR_APPROVAL
from .forms imp... | null | apps/accounts/views.py | views.py | py | 1,639 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.views.generic.edit.CreateView",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "forms.UserRegistrationForm",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "django.urls.reverse_lazy",
"line_number": 16,
"usage_type": "call"
},
... |
599412075 | import cv2
import math
import numpy as np
class Transform3DPointsToDepthImageService:
def execute(self, points_3d, points_a_2d, image):
image_points = np.zeros(image.shape[0:2])
for point_3d, point_2d in zip(points_3d, points_a_2d):
depth = math.sqrt((point_3d.x**2 + point_3d.y**2 + po... | null | code/src/vision/presentation/services/Transform3DPointsToDepthImageService.py | Transform3DPointsToDepthImageService.py | py | 1,187 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.zeros",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "math.sqrt",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.circle",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "cv2.FONT_HERSHEY_COMPLEX_SMALL",
... |
610240763 | """
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN... | null | csv2d42apis.py | csv2d42apis.py | py | 3,727 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.put",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "requests.auth.HTTPBasicAuth",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "requests.auth.... |
102447746 | import json
import os
import jwt
import Crypto.PublicKey.RSA as RSA
from utils.logger import Logger
from exceptions import exceptions
logger = Logger('checkAuthentication')
public_key_file = os.path.join(os.environ['INSTALL_DIR'], 'keys','byewaitKeyy.pub')
with open(public_key_file, 'r') as fd:
public_key = fd.re... | null | byewait/src/decorators/checkAuthentication.py | checkAuthentication.py | py | 1,128 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "utils.logger.Logger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_n... |
145287248 | from django.db import models
from django.contrib.auth.models import User
# Create your models here.
def success_story_image_path(instance , filename):
"""
To save other image to specific folder
"""
return 'success_stories/%s/%s' %(instance.raiser_name,filename)
class SuccessStory(models.Model):
"""... | null | myapp/models.py | models.py | py | 754 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.db.models.Model",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 14,
"usage_type": "call"
},
{
"api_name"... |
554713937 | # -*- coding: utf-8 -*-
import sqlite3
import yaml
import glob
import sys
import re
query = 'INSERT into switches values (?, ?)'
query2 = 'INSERT into dhcp values (?, ?, ?, ?, ?)'
conn = sqlite3.connect('dhcp_snooping.db')
sh_version_files = glob.glob('*_dhcp_snooping*')
def yaml_file_dict(in_file):
with open(i... | null | test_folder/exercises/18_db/task_18_1/add_data.py | add_data.py | py | 2,346 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sqlite3.connect",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "yaml.safe_load",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number... |
103632151 | import datetime
import json
import logging
import re
import sys
from base_django_document.exceptions import InvalidStatus, DuplicateScan
from base_django_document.exceptions import InvalidLocation
from base_django_document.exceptions import InvalidScan
from base_django_document.exceptions import Fatality
from base_dja... | null | simpleviews/views.py | views.py | py | 41,612 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "django.views.generic.ListView",
"line_number": 57,
"usage_type": "name"
},
{
"api_name": "django.http.HttpResponse",
"line_number": 64,
"usage_type": "call"
},
{
"api_name... |
199620503 | # Standard library imports
import logging
import logging.handlers
import os
def setup_logging(log_name, log_level=logging.DEBUG):
""" Setup logger.
:param log_name: name for logger
:param log_level: log level, a string
:return: a logger object
"""
dir_path = os.path.dirname(os.path.realpath(... | null | shadow_collector/logger_manager.py | logger_manager.py | py | 1,283 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.DEBUG",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
... |
288898440 | import math
import http.client
import json
import time
from robot.api import logger
global result
result = {
"mongo": {
"devices": {},
"total_average_exported_time": 0
},
"redis": {
"devices": {},
"total_average_exported_time": 0
}
}
class EventExportedTime(object):
... | null | lib/EventExportedTime.py | EventExportedTime.py | py | 5,434 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "http.client.client.HTTPConnection",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "http.client.client",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "http.client",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": ... |
628428314 | from scipy.integrate import dblquad
import math
import numpy as np
from scipy.interpolate import interp1d
h = 1
relInt = np.array([0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9,0.95,1.0,0.975,0,0])
ang = np.array([16.4,14.75,13,11.6,10,8.65,7.1,5.8,4.3,2.5,0,1.5,17.9,90])
relInt = np.array([0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9,0... | null | uvled/ledintegrate.py | ledintegrate.py | py | 1,425 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.array",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 10,... |
99572249 | #!/usr/bin/env python
"""Python IRC bot based loosely on XKCD's Bucket"""
import sys
import re
import random
from twisted.enterprise import adbapi
from twisted.internet import reactor, protocol
from twisted.words.protocols import irc
from database_config import dbpool
class BucketBot(irc.IRCClient):
def _get_n... | null | pail.py | pail.py | py | 6,449 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "twisted.words.protocols.irc.IRCClient",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "twisted.words.protocols.irc",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "re.compile",
"line_number": 22,
"usage_type": "call"
},
{
... |
369848684 |
# -*- coding: utf-8 -*-
"""
Created on Thu Nov 29 22:36:20 2018
@author: Invisible-Tilkey
"""
from pyspark import SparkContext
from pyspark import SparkConf
sc = SparkContext.getOrCreate()
import os
os.chdir('D:\ML\ALGOS\PySpark\datas')
cwd = os.getcwd()
from pyspark.sql import SparkSession
sp... | null | some_my_not_yet_ordered_practicing/SparkConf.py | SparkConf.py | py | 1,174 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pyspark.SparkContext.getOrCreate",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pyspark.SparkContext",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "os.chdir",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.get... |
386660658 | """
This module contains functions which are shared across multiple ACS modules.
"""
import os
import yaml
from typing import Any, List, Optional, Tuple, Union, Dict
import numpy as np
import pandas as pd
import scipy.ndimage.filters as filters
import scipy.ndimage.morphology as morphology
from scipy import interp... | null | acs/common.py | common.py | py | 15,994 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "typing.Dict",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 136,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line_number": 137,
"usage_type": "name"
},
{
"api_name": "arc.species.species.ARCSpecies... |
46302248 | # -*- coding: utf-8 -*-
from __future__ import with_statement, print_function, absolute_import
#!/usr/bin/python
from datetime import date
from django.conf import settings
from trello import TrelloClient
from .util import *
from requests_oauthlib import OAuth1Session
# from trello.util import *
import os
board_defa... | null | activity/trelloBoard.py | trelloBoard.py | py | 1,851 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.environ.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings.APPLICATION_NAME.upper",
"line_number": 15,
"usage_type": "call"
},
{
"api_na... |
632304043 | from django.shortcuts import render, redirect
from .forms import SignUpForm, ProfileForm, BusinessForm, PostForm
from .models import Profile, Business, Post
from django.contrib.auth.forms import UserCreationForm
from django.contrib.auth.decorators import login_required
# Create your views here.
@login_required(login_u... | null | neighbor/views.py | views.py | py | 2,726 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "models.Business.get_business",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "models.Business",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "models.Post.get_posts",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "mo... |
403115291 | import os
from setuptools import setup, find_packages
version = '0.2.1'
def read_file(name):
return open(os.path.join(os.path.dirname(__file__),
name)).read()
readme = read_file('README.txt')
changes = read_file('CHANGES.txt')
setup(name='gaedeferred',
version=version,
... | null | setup.py | setup.py | py | 1,443 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.join",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "setuptools.setup",
"line_n... |
490371196 | import xml.etree.ElementTree as ET
import csv
database = ET.Element('Database')
materials = ET.SubElement(database, 'Materials')
headers = [
"Article",
"Name",
"Group_Name",
"Unit_Measure",
"Price",
"Coef",
"Length",
"Width",
"Thickness",
"Sign",
"Overhang",
"Color",
... | null | convert_basis_material_csv_to_xml.py | convert_basis_material_csv_to_xml.py | py | 968 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "xml.etree.ElementTree.Element",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "xml.etree.ElementTree.SubElement",
"line_number": 5,
"usage_type": "call"
},
{
... |
568512425 | from sqlalchemy import Column, ForeignKey, Integer, String, Float
from sqlalchemy.ext.declarative import declarative_base
Base = declarative_base()
class Anime(Base):
__tablename__ = "anime"
name = Column(String(256), primary_key=True)
rating = Column(Float, nullable=False)
description = Column(Strin... | null | CS3103/parallelcrawler/anime_db.py | anime_db.py | py | 736 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sqlalchemy.ext.declarative.declarative_base",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.String",
"line_number": 9,
"usage_type": "call"
},
{
"api_... |
93901727 | #julio cesar santos azevedo, ra: 1900518
from flask import Flask
app = Flask(__name__)
def achar_primos():
n = 100
divisores = 0
primos =[]
for i in range(n, 0, -1):
for divisor in range(1, n + 1):
if n % divisor == 0:
divisores += 1
if ... | null | 100_primos.py | 100_primos.py | py | 609 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
}
] |
143510867 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2019/10/12 11:36
# @Author : Mr.Gan
# @File : set_report.py
# @Software : PyCharm
import unittest
import HTMLTestRunner
import time
import os
import smtplib
from email.mime.text import MIMEText
from email.utils import formataddr
from email.mime.base i... | null | 自动化脚本/python自动化/common/reportconfig.py | reportconfig.py | py | 3,691 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "common.logconfig.SetLog",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "common.logconfig",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "os.path",
"... |
125481486 | #Basic stats, sliding window, SLIm ms output
#adding divergence to this
#python statistics_bigwindow_pylibseq_SingExon_osg.py -LinkCutoff numbp50 -folder eqm_disc_5 -simID 1
from __future__ import print_function
import libsequence
#from libsequence.polytable import SimData
#from libsequence.summstats import PolySIM
#fr... | null | ABCScripts/statistics_bigwindow_pylibseq_SingExon_osg.py | statistics_bigwindow_pylibseq_SingExon_osg.py | py | 14,230 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "libsequence.SimData",
"line_number": 209,
"usage_type": "call"
},
{
"api_name": "libsequence.SimData",
"line_number": 219,
"usage_type": "call"
},
{
"api_name": "lib... |
259289255 | import json
import random
import socket
import threading
import time
import redis
def disconnectHandler(userList, user):
global maxPlayer, socketList
print(user + 'disconnected!')
# return to quque
for k in range(userList.__len__()):
try:
if userList[k] != user:
so... | null | Server.py | Server.py | py | 5,611 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "threading.Thread",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "threading.Thread.__init__",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": ... |
200862798 | #!/usr/bin/env python
'''
Copyright 2015 Ivan Sadikov
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 | analytics/loading/xmlloader.py | xmlloader.py | py | 4,732 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "analytics.loading.loader.Loader",
"line_number": 44,
"usage_type": "name"
},
{
"api_name": "analytics.utils.misc.checkTypeAgainst",
"line_number": 76,
"usage_type": "call"
},
{
"api_name": "types.StringType",
"line_number": 76,
"usage_type": "argument"
},... |
395960551 | from PyQt5.QtWidgets import QWidget, QHBoxLayout
from PyQt5.QtWebEngineWidgets import QWebEngineView
import os
class DocumentationWidget(QWidget):
def __init__(self, content=None, parent=None):
super(DocumentationWidget, self).__init__(parent)
self.setWindowTitle("Документация")
self.__d... | null | ui/documentation.py | documentation.py | py | 877 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWebEngineWidgets.QWebEngineView",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_number": 16,
"usage_type": "call"
},
{
"api_name... |
262364923 | import argparse
import functools
import os
import json
import math
from collections import defaultdict
import random
import io
import numpy as np
import torch
import torch.optim as optim
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import DataLoader
import warnings
warnings.filterwarnin... | null | sg2im/scripts/test_lstm.py | test_lstm.py | py | 8,309 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path.expanduser",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "argparse.Argu... |
473616299 | # -*- coding: utf-8 -*--
"""
Detect faces on videos and create embeddings
"""
import cv2
import numpy as np
import os, sys
from tqdm import tqdm
import time
import torch.multiprocessing as mp
from multiprocessing import Queue as mpQueue
from threading import Thread
from queue import Queue
from queue import Empty as Qu... | null | process/src/face_detector.py | face_detector.py | py | 19,962 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.environ",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "sys.path",
"line_num... |
551345133 | # -*- coding: utf-8 -*-
from __future__ import print_function, absolute_import
import logging
from . import env, TEST_MODE
SENTRY_URL = env.get_value('SENTRY_URL', default='')
PAPERTRAIL_API_TOKEN = env.get_value('PAPERTRAIL_API_TOKEN', default='')
LOGGING = dict(
version=1,
disable_existing_loggers=False,
... | null | device_map/settings/logging.py | logging.py | py | 2,278 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.WARNING",
"line_number": 42,
"usage_type": "attribute"
}
] |
614908968 | import re
from datetime import datetime
from django.shortcuts import render, redirect
from django.http import HttpResponse
from django.shortcuts import render
from django.shortcuts import get_object_or_404
from catalog.models import Book, Author, BookInstance, Genre, Language
from cart.forms import CartAddProductForm
... | null | catalog/views.py | views.py | py | 2,765 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "catalog.models.Book.objects.all",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "catalog.models.Book.objects",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "catalog.models.Book",
"line_number": 15,
"usage_type": "name"
},
{
... |
261581056 | # Libraries provided by the system
import pygame
import pygame.freetype
import time
import os
from bitcoinrpc.authproxy import AuthServiceProxy, JSONRPCException
import grpc
# Local libraries
from lib.network import get_ip
from lib.qr_generator import generate_qr_code
from lib.lnd import get_stub, get_macaroon, check_... | null | ui.py | ui.py | py | 5,536 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.putenv",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.putenv",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pygame.display.init",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_nu... |
638166612 | import base64
from sanic import Blueprint
from sanic.response import json
from models.pet import Pet
from services.pet import PetService
pets = Blueprint("pets", url_prefix="/pets")
@pets.route("/", methods=["GET"])
async def index(request):
service = PetService()
pets = service.all()
return json(pets)
... | null | handlers/pet.py | pet.py | py | 772 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sanic.Blueprint",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "services.pet.PetService",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sanic.response.json",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "services.p... |
500879960 | from django import forms
from django.forms import Textarea
from .models import Location, WaterBill, ElectricBill, OtherBill
class LocationForm(forms.ModelForm):
#address=forms.CharField(max_length=120,error_messages={'required':'This is required!!!'},help_text='Tu')
class Meta:
model = Location
... | null | EazyAssist/location/forms.py | forms.py | py | 1,942 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "models.Location",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.forms.T... |
111960887 | import cv2
import numpy as np
import cv2.cv as cv
import time
import serial
cap=cv2.VideoCapture(0)
while(1):
ret,frame=cap.read()
hsv=cv2.cvtColor(frame,cv2.COLOR_BGR2HSV)
lower_colour=np.array([0,255,255],dtype=np.uint8)
upper_colour=np.array([204,255,255],dtype=np.uint8)
mask=cv2.inRange(hsv,lower_colour,u... | null | OpenCV based MP/colordetection.py | colordetection.py | py | 875 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2HSV",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"... |
286987641 | import numpy
import gzip
from pathlib import Path
import pickle
import io
np = numpy
DATABASE_FILE = "./data/GoogleNews-vectors-negative300.bin.gz"
WORD2VEC_PICKLE_FILE = Path("word2vec.pickle.gz")
def read_wordvec_database(database_file = DATABASE_FILE):
FLOAT_SIZE = 4
FLOAT_TYPE = np.dtype("float32")
wi... | null | pyword2vec/reader.py | reader.py | py | 920 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pathlib.Path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "gzip.open",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "io.BufferedReader",
"line_number": 15,
"usage_type": "call"
}
] |
390216412 | import functools
from datetime import datetime, time
import math
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class Solution:
def combinationSum3(self, k: int, n: int):
result = []
... | null | leetcode/2020/combinationSum3.py | combinationSum3.py | py | 985 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "datetime.datetime.now",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.now",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "datetim... |
449013388 | from ..models import Post
from django import template
import datetime
import timeago
from django.utils import timezone
register = template.Library()
@register.simple_tag
def total_posts():
return Post.published.count()
@register.inclusion_tag('recent_posts.html/')
def show_recent_posts(count=5):
recent_posts... | null | blog/templatetags/blog_tags.py | blog_tags.py | py | 506 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.template.Library",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.template",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "models.Post.published.count",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "mod... |
280416129 | import os
import numpy as np
from gym import utils
from gym.envs.mujoco import mujoco_env
class HalfCheetahFlipEnv(mujoco_env.MujocoEnv, utils.EzPickle):
def __init__(self):
self.prev_x_torso = None
dir_path = os.path.dirname(os.path.realpath(__file__))
mujoco_env.MujocoEnv.__init__(self... | null | pmbrl/envs/envs/half_cheetah_flip.py | half_cheetah_flip.py | py | 1,889 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "gym.envs.mujoco.mujoco_env.MujocoEnv",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "gym.envs.mujoco.mujoco_env",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "gym.utils.EzPickle",
"line_number": 9,
"usage_type": "attribute"
},
... |
121114106 | import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation
import time
import player_module as PM
P1 = PM.player_module()
P1.banner()
class random_gen:
def __init__(self, seed = 12345678):
self.s1 = np.uint64(seed & 0xffff)
self.s2 = np.uint64((seed >> 16) & 0xffff... | null | game2.py | game2.py | py | 25,714 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "player_module.player_module",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.uint64",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.uint64",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.uint64",
... |
349924865 | from __future__ import print_function
import glob
from astropy.io import fits
import os
import json
import numpy as np
import argparse
#import matplotlib
#matplotlib.use("Agg")
import matplotlib.pyplot as plt
import sys, getopt
from collections import OrderedDict
import seaborn as sns
from scipy.optimize import fsolve... | null | PNe-cand-minijpas.py | PNe-cand-minijpas.py | py | 18,872 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.linspace",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "scipy.optimize.fsolve",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.empty",
"lin... |
188088005 | import os
# import variational
# import matplotlib.pyplot as plt
# import seaborn as sns
# from matplotlib.ticker import FuncFormatter
# import os
# import time
# import math
# import pandas as pd
# from collections import OrderedDict
# from sklearn.linear_model import LogisticRegression
#
# import numpy as np
# import... | null | common/fisher.py | fisher.py | py | 13,979 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.path.append",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "os.environ",
... |
353272943 | #!/usr/bin/env python
import struct
import binascii
from Crypto.Hash import MD5
class RC5:
def __init__(self, w, R, key):
self.w = w # block size (32, 64 or 128 bits)
self.R = R # number of rounds (0 to 255)
self.key = key # key (0 to 2040 bits)
# some useful constants
self.T = 2 * (R + 1)
... | null | sstic/report/tmp2/solve.py | solve.py | py | 5,622 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "Crypto.Hash.MD5.new",
"line_number": 173,
"usage_type": "call"
},
{
"api_name": "Crypto.Hash.MD5",
"line_number": 173,
"usage_type": "name"
},
{
"api_name": "binascii.hexlify",
"line_number": 174,
"usage_type": "call"
}
] |
349532363 | """Module with various utility functions. Was called dv in older Versions."""
import numpy as np
from scipy.special import erf
from scipy.stats import median_absolute_deviation
from .unit_conversions import cm2THz
import functools
import wrapt
def weighted_binning(x, arr, bins, weights=None):
"""
Bins a 1D a... | null | skultrafast/utils.py | utils.py | py | 6,735 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.histogram",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.histogram",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "functools.partial",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
... |
590114861 | #Import the required libraries
import matplotlib.pyplot as plt
import tensorflow as tf
import numpy as np
import pandas as pd
import math
from sklearn.utils import shuffle
from sklearn.model_selection import train_test_split
import os
if not os.path.isdir('proj_figures'):
os.makedirs('proj_figures')
tf.compat.v1.... | null | Project 1/Part A Files/Part A_1.py | Part A_1.py | py | 4,935 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.isdir",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "tensorflow.compat.v1.logging.s... |
529848782 | from django.db import models
class Customer(models.Model):
name = models.CharField(max_length=200, default='')
email = models.CharField(max_length=200, default='')
password = models.CharField(max_length=200, default='')
active = models.IntegerField(default=1)
def __str__(self):
return '%s <%s>' % (self.name, ... | null | admin/web_interface/models.py | models.py | py | 1,465 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.db.models.Model",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "... |
217848506 | import pygame
from time import sleep
pygame.init()
screen_width = 400
screen_height = 400
screen_size = (screen_width, screen_height)
screen = pygame.display.set_mode(screen_size)
pygame.display.set_caption("OLIOTEHTAVA")
RED = (255,0,0)
BLACK = (0,0,0)
WHITE = (255,255,255)
GREEN = (0,255,0)
FPS = 60
class Olio:
... | null | oliotehtava_liikkuvaolio.py | oliotehtava_liikkuvaolio.py | py | 4,444 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pygame.init",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "pygame.display.s... |
566379645 | #!/usr/bin/env python
import csv as csv
import numpy as np
import pandas as pd
import os
from sklearn.ensemble import RandomForestClassifier
first_man=[]
first_woman=[]
second_man=[]
second_woman=[]
third_man=[]
third_woman=[]
first_fare=[]
second_fare=[]
third_fare=[]
cumm_age=[]
overall_age_median=0
lefter_then... | null | ml2.py | ml2.py | py | 8,434 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "csv.reader",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "numpy.median",
"line_number": 94,
"usage_type": "call"
},
{
"api_name": "numpy.median",
"line_number":... |
441709613 | from django.conf.urls import url
from . import views
app_name = 'orders'
urlpatterns = [
url(r'^$', views.OrderIndexView.as_view(), name='index'),
url(r'^city/$', views.CityListView.as_view(), name='city_list'),
# url(r'^city/add/$', views.add_city, name='add_city'),
url(r'^city/add/$', views.CityCr... | null | orders/urls.py | urls.py | py | 842 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.conf.urls.url",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.... |
269226864 | from SALib.sample import saltelli
from SALib.analyze import sobol
import numpy as np
# function to define model
# in this case it's a test function (Ishigami)
def run_model(x):
A = 7
B = 0.1
y = np.sin(x[0]) + A * np.sin(x[1])**2 + \
B * x[2]**4 * np.sin(x[0])
return y
problem = {
'n... | null | example-ishigami.py | example-ishigami.py | py | 916 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.sin",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.sin",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "SALib.sample.saltelli.sample",
... |
91518839 | import cv2
video_name = 'test.mp4'
cap = cv2.VideoCapture('video/' + video_name)
frame_id = 0
while cap.isOpened():
ret, frame = cap.read()
if frame_id > 2001:
cv2.imwrite('images/dataset/'+ str(frame_id) + ".jpg", frame)
# cv2.imshow("frame", frame)
if frame_id > 2500:
break
... | null | tools/video_to_frames.py | video_to_frames.py | py | 433 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "cv2.imwrite",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "cv2.waitKey",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "cv2.destroyAllWindows",
"... |
181840502 | """Use build_set results
Revision ID: 60c119eb1e3f
Revises: f86c9871ee67
Create Date: 2017-07-27 17:09:20.374782
"""
# revision identifiers, used by Alembic.
revision = '60c119eb1e3f'
down_revision = 'f86c9871ee67'
branch_labels = None
depends_on = None
from alembic import op
import sqlalchemy as sa
BUILDSET_TABLE... | null | zuul/driver/sql/alembic/versions/60c119eb1e3f_use_build_set_results.py | 60c119eb1e3f_use_build_set_results.py | py | 886 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "alembic.op.add_column",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.String"... |
366122570 | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
'Separate from `mount.py` to avoid circular dep with `common.py`'
import json
import os
from typing import AnyStr, Ite... | null | fs_image/compiler/items/mount_utils.py | mount_utils.py | py | 4,176 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "fs_image.subvol_utils.Subvol",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "os.path.exists",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "os.walk",
... |
52982799 | from django.db.models import Q
from django.shortcuts import render, redirect
import markdown
from . import models
# 首页
def index(request):
article_list = models.Article.objects.all()
md = markdown.Markdown(extensions=[
'markdown.extensions.extra',
])
for article in article_list... | null | blog/views.py | views.py | py | 2,097 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "markdown.Markdown",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "markdown.Markdown",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "django.sh... |
544154586 | # Copyright (c) Istituto Nazionale di Fisica Nucleare (INFN). 2019-2020
#
# 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 ... | null | app/providers/routes.py | routes.py | py | 2,469 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Blueprint",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "app.iam_blueprint.session",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "app.iam_blueprint",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "app.... |
405241435 | import torch
from torch.autograd import Variable
from torch.autograd import Function
from torch.autograd import gradcheck
import math
import numpy as np
import torch.nn as nn
import os
import scipy.io as sio
def A(input, GA):
return (GA.cuda()).mm(torch.reshape(input.t(),(-1,1)))
def At(input, GA... | null | layer_by_layer/RPCA_matrix_recovery_network.py | RPCA_matrix_recovery_network.py | py | 4,519 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.reshape",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.reshape",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torch.abs",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "torch.zeros",
"line_number"... |
595367839 | import torch
import os
import argparse
import numpy as np
import hparams as hp
from data.audio import save_wav, inv_mel_spectrogram
from model.generator import MelGANGenerator
from model.generator import MultiBandHiFiGANGenerator
from model.generator import HiFiGANGenerator
device = torch.device('cuda' if torch.cuda.... | null | synthesize.py | synthesize.py | py | 2,034 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.device",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "model.generator"... |
383501924 | import sys
from distutils.core import setup
from setuptools import find_packages
# List of runtime dependencies required by this built package
install_requires = []
if sys.version_info <= (2, 7):
install_requires += ['future', 'typing']
install_requires += ["numpy", "protobuf"]
setup(
name="tfrecord",
v... | null | setup.py | setup.py | py | 570 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.version_info",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "distutils.core.setup",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 20,
"usage_type": "call"
}
] |
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