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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
150515568 | # Copyright 2013 FOODit Ltd. All Rights Reserved.
import endpoints
from protorpc import messages
from protorpc import message_types
from protorpc import remote
from google.appengine.api import search
from google.appengine.ext import ndb
import yaml
import math
package = 'StreetSearchPkg'
def distance(a, b):
l... | null | streetsearch.py | streetsearch.py | py | 11,210 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "math.radians",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "math.radians",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "math.sin",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "math.cos",
"line_num... |
513888394 | # -*- coding: utf-8 -*-
"""
Created on Wed Mar 11 13:45:21 2020
Analyzes the kinematics of real fish data from VR experiments
Includes code for:
- getting speed and orientation from position (getSpeed, getOri)
- smoothing and finding jumps/anomalies in data (cleanData)
- identifying burst-glide information ... | null | get_kinematics_adult.py | get_kinematics_adult.py | py | 28,194 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.subtract",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "numpy.linalg.norm",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.linalg",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "numpy.ndarray",
... |
316663020 | # -*- coding: utf-8 -*-
import numpy as np
import pandas as pd
import xgboost as xgb
import datetime
import operator
from sklearn.cross_validation import train_test_split
from collections import Counter
from nltk.corpus import stopwords
import matplotlib.pyplot as plt
from pylab import plot, show, subplot, sp... | null | scripts/mo/char_features.py | char_features.py | py | 7,588 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.random.seed",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "sklearn.cross_validation.train_test_split",
"line_number": 37,
"usage_type": "call"
},
{
"api... |
430830887 | # -*- coding: utf-8 -*-
"""The app module, containing the app factory function."""
import os
from flask import Flask, render_template
from webapp import public, user, post
from webapp.assets import assets
from webapp.extensions import (
bcrypt, cache, csrf_protect, db,
debug_toolbar, login_manager, migrate,
... | null | webapp/app.py | app.py | py | 1,995 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "webapp.settings.ProdConfig",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "flask.Flask",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "webapp.assets.assets.init_app",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "... |
222914311 | """
:copyright: (c) 2014 Building Energy Inc
"""
from django.test import TestCase
from seed import decorators
from seed.utils.cache import make_key, get_cache, get_lock, increment_cache, clear_cache
class TestException(Exception):
pass
class TestDecorators(TestCase):
"""Tests for locking tasks and reportin... | null | seed/tests/test_decorators.py | test_decorators.py | py | 3,123 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.test.TestCase",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "seed.utils.cache.clear_cache",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "seed.utils.cache.make_key",
"line_number": 30,
"usage_type": "call"
},
{
"api_n... |
396073239 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
@Author:AkulaKirov
@Blog: akulak.top
@License: MPL 2.0
@Version 1.0
'''
import requests
import json
import hashlib
import random
url = 'http://www.xszongping.com/Health/EpidemicHealthRecord/postHealth'
checkTokenT = 'http://www.xszongping.com/School/U... | null | UltimateLanGouMode.py | UltimateLanGouMode.py | py | 3,988 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "requests.post",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_num... |
399272754 | # -*- coding: UTF-8 -*-
#使用训练样本和测试样本
import random
from sklearn.model_selection import train_test_split
from sklearn import preprocessing
import numpy as np
from sklearn import datasets
boston = datasets.load_boston()
x ,y = boston.data, boston.target
x_MinMax = preprocessing.MinMaxScaler()
y_MinMax = preprocessing.... | null | python/Learn/Course/PythonDeepStudy/Chapter5/test5.5.py | test5.5.py | py | 613 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sklearn.datasets.load_boston",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sklearn.datasets",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "sklearn.preprocessing.MinMaxScaler",
"line_number": 12,
"usage_type": "call"
},
{
"ap... |
536906341 | import math
import wx
from wx.lib.masked import NumCtrl
class ShearInputPopup(wx.Frame):
def __init__(self, parent):
self.parent = parent
wx.PopupWindow.__init__(self, parent, style=wx.CLOSE_BOX )
self.rbox = wx.RadioBox(self,label = 'Shear Axis', pos = (50,10), choices = ['X-axis', 'Y-axis... | null | shear.py | shear.py | py | 2,873 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "wx.Frame",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "wx.PopupWindow.__init__",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "wx.PopupWindow",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "wx.CLOSE_BOX",... |
143731296 | # -*- coding: utf-8 -*-
"""
Spyder Editor
This is a temporary script file.
"""
import sklearn
import numpy as np
import joblib
import random
import sys
import numpy
def distribution(dataset):
feaValue = numpy.zeros(9)
flag = dataset[0].strip().split()[10]
#对当前数据集进行特征提取
for i in range(1,len(dataset)):... | null | Web/src/main/webapp/pythonFile/modelPrediction.py | modelPrediction.py | py | 2,856 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.zeros",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "random.sample",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "numpy.isnan",
"line_number"... |
581683646 | import discord
from discord.ext import commands
import time
import datetime
import schedule
import config
@config.bot.event
async def sprint_end(ctx, time_end):
toc = time.time()
while True:
tic = time.time()
if tic - toc >= (time_end * 60):
break
schedule.clear("timer")
a... | null | sprint_time.py | sprint_time.py | py | 874 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "time.time",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "schedule.clear",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "config.bot",
"line_number": 8,... |
255100769 | import os
import sys
from PyQt5.QtCore import Qt
from PyQt5.QtWidgets import QApplication, QDialog, QPushButton, QFileDialog, \
QMessageBox, QProgressDialog
from ui.View import RepositoryView
from config import myconfig
from form import Ui_Form
from mythreads import WorkThread, BuildThread, PushThread
class mywi... | null | main.py | main.py | py | 5,836 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "PyQt5.QtWidgets.QDialog",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "form.Ui_Form",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtCore.Qt.WindowMinimizeButtonHint",
"line_number": 16,
"usage_type": "attribute"
},
{
... |
125064980 | import torch
from torch import nn
import torch.nn.functional as F
from torch.autograd import Variable
from math import sqrt
from layers import *
class DenseNet(nn.Module):
"""
Densely Connected Convolutional Neural Network [1].
Connects each layer to every other layer in a feed-forward
fashion. This... | null | model.py | model.py | py | 5,739 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "torch.nn.Module",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "torch.nn.Conv2d",
"line_number": 84,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_numb... |
481324941 | """
Adapters to run Pascal VOC mAP and
COCO mAP on this platform
Author: Josh McGrath
"""
from .ingestion import ingest_file
import os
from chainercv.evaluations import eval_detection_voc, eval_detection_coco
import numpy as np
from tqdm import tqdm
import yaml
import pandas as pd
import click
def get_identifiers(dir)... | null | cosmos/ingestion/ingest/process/detection/src/evaluate/evaluate_libs.py | evaluate_libs.py | py | 2,878 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.listdir",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path.splitext",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_num... |
81824033 | import sys
import lifegame
import os
import curses
data = lifegame.load('inputdata.txt')
cur_board = lifegame.set_board(data)
time = 1000
time_intergration = 0
lifegame.stdscr = curses.initscr()
curses.curs_set(0)
curses.start_color()
curses.init_pair(1, 3, 0)
while(True):
lifegame.printBoard(cur_board)
n... | null | main.py | main.py | py | 508 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "lifegame.load",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "lifegame.set_board",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "lifegame.stdscr",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "curses.initscr",
... |
504693324 | from PyQt5.QtWidgets import (QApplication, QComboBox, QDialog,
QDialogButtonBox, QFormLayout, QFileDialog, QGridLayout, QGroupBox, QHBoxLayout,
QInputDialog, QLabel, QLineEdit, QMenu, QMenuBar, QPushButton, QSpinBox, QTextEdit,
QVBoxLayout, QToolTip, QWidget)
from PyQt5.QtGui import QIcon
from ... | null | GUI_dev/sginals_and_slots.py | sginals_and_slots.py | py | 1,619 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "PyQt5.QtWidgets.QDialog",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QFileDialog.Options",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QFileDialog",
"line_number": 15,
"usage_type": "name"
},
... |
518746579 | # -*- coding: utf-8 -*-
import matplotlib.pyplot as plt
from mpl_toolkits.basemap import Basemap
from xlrd import open_workbook, cellname
import os
# Creating Node class to fill them with data from
class Node():
def __init__(self, ID, name, lng, lat, distance):
self.id = ID
self.name = st... | null | calc.py | calc.py | py | 8,116 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "xlrd.open_workbook",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "mpl_toolkits.basemap.Basemap",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.savefig",
"line_number": 98,
"usage_type": "call"
},
{
"api_nam... |
490592499 | import pandas as pd
from sklearn.metrics.pairwise import cosine_distances
import numpy as np
import difflib
import ast
dataset = pd.read_csv('/dataset.csv', index_col=0)
dataset = dataset.loc[dataset['popularity']>15]
vectors = []
for x in list(dataset['vector']):
l = ast.literal_eval(x)
vectors.append(l)
vec... | null | Semantic/Similar_Based_On_Genre.py | Similar_Based_On_Genre.py | py | 1,338 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pandas.read_csv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "ast.literal_eval",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.pairwise.... |
412304140 | import paramiko
import time
from PyLinux.settings import EMAIL_HOST_USER
from .models import Monitor
from RemoteLinux.models import NewLinux
from django.http import HttpResponse
from django.core.mail import send_mail # 导入django发送邮件模块
def monitor_send_email():
# 测试
# localtime = time.strftime("... | null | monitor/crontab.py | crontab.py | py | 5,143 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "models.Monitor.objects.all",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "models.Monitor.objects",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "models.Monitor",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": ... |
407894649 | # Copyright (c) 2011-2020 Eric Froemling
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish,... | null | assets/src/ba_data/python/ba/_meta.py | _meta.py | py | 15,361 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 47,
"usage_type": "name"
},
{
"api_name": "dataclasses.field",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "dataclasses.datacl... |
83888054 |
import collections
#Time complexity: O(m*n)
#Space complexity: O(m*n)
#Works on leetcode: yes
#Approach: We use a queue to perform BFS and start from the source cell. While queue is not empty, we pop from it and see
#if the neighbouring cells are within bound and of original color, we add those cells to the queue.
c... | null | Problem1.py | Problem1.py | py | 1,643 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "collections.deque",
"line_number": 11,
"usage_type": "call"
}
] |
207664813 | import spider.tencent
import http.client
class HttpClientFetcher:
__URL_PREFIX = "http://" + spider.tencent.HOSTNAME
__PREFIX_LENGTH = len(__URL_PREFIX)
__HEADERS = {"Connection": "keep-alive", "Cookie": "wblang=zh_CN"}
def __init__(self):
self.__connectWeiboHost()
def __connectWeiboHost(self):
self.__conne... | null | extras/weibo-spider/spider/tencent/fetcher.py | fetcher.py | py | 1,025 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "spider.tencent.tencent",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "spider.tencent",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "http.client.client.HTTPConnection",
"line_number": 13,
"usage_type": "call"
},
{
"api_na... |
169258861 |
import os
import sys
import re
from collections import namedtuple
def identity(value):
return value
def round_2digits(value):
if value:
return round(float(value), 2)
else:
return 0.00
def round_lat_long(value):
return round(float(value), 6)
def to_lower(value):
if value:
... | null | data_sources/taxi.py | taxi.py | py | 4,709 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "collections.namedtuple",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 74,
"usage_type": "call"
},
{
"api_name": "sys.stderr",
"line_number": 140,
"usage_type": "attribute"
}
] |
123588504 | # Python Version 3.5.2
# File: minesweeper.py
from tkinter import *
from tkinter import messagebox
import random
from collections import deque
class Minesweeper:
def __init__(self, master):
# import images
self.tile_plain = PhotoImage(file = "images/tile_plain.gif")
self.tile_clicked = P... | null | minesweeper.py | minesweeper.py | py | 8,030 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "random.randint",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 204,
"usage_type": "call"
},
{
"api_name": "tkinter.messagebox.showinfo",
"line_number": 215,
"usage_type": "call"
},
{
"api_name": "tkinte... |
50259380 | import unittest
import nne
import torchvision
import torch
import numpy as np
class OnnxTests(unittest.TestCase):
def __init__(self, *args, **kwargs):
super(OnnxTests, self).__init__(*args, **kwargs)
def test_onnx(self):
input_shape = (1, 3, 64, 64)
onnx_file = 'resnet.onnx'
mo... | null | test/test_onnx.py | test_onnx.py | py | 798 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "unittest.TestCase",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "torchvision.models.resnet34",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torchvision.models",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_nam... |
496617439 | from pydoc import locate
from django.db import models
from ltilaunch.models import LTIToolConsumer
class LTIUserMatcher:
lti_user_model = "ltilaunch.models.LTIUser"
def _scope_to_consumer_group(self,
lti_consumer: LTIToolConsumer):
all_users = locate(self.lti_user_mo... | null | ltilaunch/usermatch.py | usermatch.py | py | 2,798 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "ltilaunch.models.LTIToolConsumer",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "pydoc.locate",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "ltilaunch.models.LTIToolConsumer.objects.filter",
"line_number": 15,
"usage_type": "call"
... |
437859762 | '''
Developer: Derek Bringewatt
Email: dev.dbbring@gmail.com
Date: 3/16/2018
Version: 1.0
Purpose: Enter the tickers that appear on your scans in a text file. This program will grab those
tickers, and parse the Yahoo Finace for standard company information. After that, it will grab
the daily data on each stock in the ... | null | Stock-Strategy-Test/strategy-tester_ver_1_0.py | strategy-tester_ver_1_0.py | py | 14,157 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "datetime.date.today",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 41,
"usage_type": "name"
},
{
"api_name": "urllib3.PoolManager",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "certifi.where",... |
398536696 | """Support for Bosch Thermostat Sensor."""
from bosch_thermostat_client.const import RECORDINGS, SENSOR, SENSORS, REGULAR
from bosch_thermostat_client.const.easycontrol import ENERGY
from homeassistant.helpers.dispatcher import async_dispatcher_send
from ..const import CIRCUITS, DOMAIN, GATEWAY, SIGNAL_BOSCH, UUID
fr... | null | custom_components/bosch/sensor/__init__.py | __init__.py | py | 3,505 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "const.UUID",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "const.DOMAIN",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "bosch_thermostat_client.const.SENSORS",
"line_number": 18,
"usage_type": "argument"
},
{
"api_name": "bos... |
421017778 | import numpy as np;
import matplotlib.pyplot as plt;
import math;
'''
Calculate the cost function result for the theta
J=(h-y)'*(h-y)/(2*m);
'''
def costFunction(X, y, theta):
# calculate hypothesis values through vector multiplication
h = np.matmul(X, theta);
# difference between theoretical result and... | null | 1-Univariate_Linear_Regression/mlAlgorithms.py | mlAlgorithms.py | py | 5,285 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.matmul",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.matmul",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number"... |
106886290 | # -*- coding: utf-8 -*-
"""Constants."""
import logging
import os
import pathlib
import sys
import dotenv
from . import __package__ as PACKAGE_ROOT
DEFAULT_PATH = os.getcwd()
AX_ENV = os.environ.get("AX_ENV", "").strip() or DEFAULT_PATH
def load_dotenv(ax_env=AX_ENV, reenv=False, verbose=False):
"""Pass."""
... | null | axonius_api_client/constants.py | constants.py | py | 8,975 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.getcwd",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
"line_n... |
622363262 | # --*-- coding=utf-8 --*--
import io
from conf.config import SAVEFILE
def savefile(res):
with io.open(SAVEFILE, mode='a+', encoding='utf-8') as savefile:
if isinstance(res, basestring):
savefile.write(res.encode('utf-8') + u"\n")
savefile.flush()
elif isinstance(res, list... | null | core/baisc.py | baisc.py | py | 604 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "io.open",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "conf.config.SAVEFILE",
"line_number": 9,
"usage_type": "argument"
}
] |
583329793 | from selenium import webdriver
import time
import math
import os
link = "http://suninjuly.github.io/file_input.html"
browser = webdriver.Chrome("C:/chromedriver/chromedriver.exe")
try:
browser.get(link)
input1 = browser.find_element_by_name("firstname")
input1.send_keys("kate")
input2 = browser.find_... | null | u2_l2.2_chapter8.py | u2_l2.2_chapter8.py | py | 1,051 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "os.path.abspath",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
... |
545411799 | import os
from typing import Any
from cowait.network import get_local_connstr
from .definition import TaskDefinition
from .components import TaskManager, RpcComponent, rpc
CURRENT_TASK = None
class Task(TaskDefinition):
def __init__(
self,
**inputs,
):
"""
Creates a new insta... | null | cowait/tasks/task.py | task.py | py | 3,529 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "definition.TaskDefinition",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "components.TaskManager",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "components.RpcComponent",
"line_number": 26,
"usage_type": "call"
},
{
"api_name... |
361648740 | import pyaudio
import wave
# import numpy as np
def record_start():
CHUNK = 1024
FORMAT = pyaudio.paInt16
CHANNELS = 2
RATE = 44100
RECORD_SECONDS = 4
WAVE_OUTPUT_FILENAME = "output.wav"
p = pyaudio.PyAudio()
stream = p.open(format = FORMAT,
channels = CHANNELS,
... | null | record.py | record.py | py | 1,023 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pyaudio.paInt16",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "pyaudio.PyAudio",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "wave.open",
"line_number": 37,
"usage_type": "call"
}
] |
504128760 | # topics = ["栈"]
from typing import List
class Solution:
def reverseParentheses(self, s: str) -> str:
"""
Stack
time O(n), space O(n), n 为字符串的长度
"""
n = len(s)
stack: List[int] = []
pair = [0] * n
# pair 记录对应的左右括号的索引
for i in range(n):
... | null | algorithms/[1190]反转每对括号间的子串/solution.py | solution.py | py | 958 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "typing.List",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 28,
"usage_type": "name"
}
] |
198009214 | ##############################################################################
#
# Copyright (c) 2001, 2002 Zope Foundation and Contributors.
# All Rights Reserved.
#
# This software is subject to the provisions of the Zope Public License,
# Version 2.1 (ZPL). A copy of the ZPL should accompany this distribution.
# TH... | null | src/zope/app/publication/ftp.py | ftp.py | py | 1,810 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "zope.app.publication.zopepublication.ZopePublication",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "zope.component.component.queryMultiAdapter",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "zope.component.component",
"line_number": 28,... |
169901177 | import requests
from io import BytesIO
from PIL import Image
r= requests.get("https://images.pexels.com/photos/67636/rose-blue-flower-rose-blooms-67636.jpeg?auto=compress&cs=tinysrgb&dpr=2&h=750&w=1260")
image=Image.open(BytesIO(r.content))
print("status code :",r.status_code)
print(image.size,image.mode,image.form... | null | section_7/pil.py | pil.py | py | 440 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "requests.get",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "io.BytesIO",
"line_number": 7,... |
47734614 | # Copyright (c) 2016 Catalyst IT Ltd.
#
# 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 in w... | null | distil/service/api/v2/measurements.py | measurements.py | py | 2,073 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "oslo_log.log.getLogger",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "oslo_log.log",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "distil.db.api.resource_get_by_ids",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": ... |
370194611 | import soundfile as sf
import numpy as np
import sys
def main():
print("conv.py - convolution based reverberation")
x, srx = sf.read('anechoic1.wav')
h, srh = sf.read('Concertgebouw-m.wav')
print (x.shape)
print (h.shape)
if srx != srh:
sys.exit('sr must be the same in both files')... | null | 02_convolution/code/conv.py | conv.py | py | 743 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "soundfile.read",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "soundfile.read",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.ndarray",
"line_number... |
233055663 | #!/usr/bin/env python3
import pygame
black = (0, 0, 0)
white = (255, 255, 255)
class Player(pygame.sprite.Sprite):
def __init__(self, x, y):
super().__init__()
self.image = pygame.Surface([15, 15])
self.image.fill(black)
self.rect = self.image.get_rect()
self.rect.x = x
self.rect.y = y
self.change_... | null | Sprites/move_sprite_keyboard_smooth.py | move_sprite_keyboard_smooth.py | py | 1,592 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pygame.sprite",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pygame.Surface",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pygame.init",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode"... |
388206884 | #!/usr/bin/python3
from sys import argv, stderr
import re
from os.path import basename, splitext, exists
from sqlite3 import connect
from os import remove
from shutil import move
import logging
import locale
from time import strftime
from glob import glob
for db in glob("*.db"):
move(db, "/home/andreas")
locale.... | null | tokenise.py | tokenise.py | py | 1,926 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "glob.glob",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "shutil.move",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "locale.setlocale",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "locale.LC_ALL",
"line_numb... |
534745643 | import http.server
import socketserver
PORT = 8000
def append_data(data):
f = open('data.txt', 'a')
array = data[2:-2].split("],[")
for a in array:
f.write(a+"\n")
f.close()
def change_properties():
with open("properties.js", "r+") as f:
read_data = f.read().split('\n')
lastTarget = int(rea... | null | p5_memory/server.py | server.py | py | 1,191 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "http.server.server",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "http.server",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "socketserver.TCPServer",
"line_number": 41,
"usage_type": "call"
}
] |
544635983 | # -*- coding: utf-8 -*-
from __future__ import absolute_import, division, print_function, unicode_literals
import abc
import unittest
from logging import Logger
from shadow_inject.binder import Binder
class AbstractCar(object):
__metaclass__ = abc.ABCMeta
class Printer(object):
def __init__(self, logger)... | null | shadow_inject/tests/test_logger_injection.py | test_logger_injection.py | py | 767 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "abc.ABCMeta",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "unittest.TestCase",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "shadow_inject.binder.Binder",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "l... |
212648804 | from PIL import Image, ImageEnhance, ImageDraw, ImageFont
font = ImageFont.truetype("MONACO.TTF", size=250)
fillcolor = '#FF0000'
im = Image.open("./yeskirai.jpg")
draw=ImageDraw.Draw(im)
draw.text((450, 0), chr(52), font=font, fill=fillcolor)
# im.show()
im.save("kirai.jpg")
| null | 0000.py | 0000.py | py | 280 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "PIL.ImageFont.truetype",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "PIL.ImageFont",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "PIL.Image.open",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"lin... |
547232053 | """
This file demonstrates two different styles of tests (one doctest and one
unittest). These will both pass when you run "manage.py test".
Replace these with more appropriate tests for your application.
"""
import urllib
from django.http import HttpRequest
from django.test import TestCase
from django.test.client im... | null | DjangoProject/HvZ/tests.py | tests.py | py | 2,195 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.test.TestCase",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "HvZ.views.views.anonymous_info",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "HvZ.views.views",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name... |
163707785 | import xml.etree.ElementTree as ET
import pickle
import os
from os import listdir, getcwd
from os.path import join, split
from glob import glob
#TO EDIT
xml_dirs = ['/Users/sunyitao/Documents/XRVision/PSA/extracted_images/xml/060VIDEO/', #needs to end with slashes
'/Users/sunyitao/Documents/XRVision/PSA/ext... | null | yolo_xml_to_txt.py | yolo_xml_to_txt.py | py | 3,438 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.join",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "os.path.split",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree.parse",... |
42087792 | import itertools as it
import numpy as np
from environment import config
class SplendorStateEncoder:
def __init__(self):
self.COLORS = ['green', 'white', 'blue', 'black', 'red']
self.pick_tokens = {cnt : list(it.combinations(self.COLORS.copy(),cnt)) for cnt in [3,2,1]}
self.pick_tokens['dou... | null | splendor_ai/splendor_state_encoder.py | splendor_state_encoder.py | py | 6,068 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "itertools.combinations",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "environment.config.MAXIMUM_RESERVATIONS",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "environment.config",
"line_number": 14,
"usage_type": "name"
},
{
... |
613135611 | """
Collection of tasks specific for automating MD simulations. Look at the "MD
Workflow.pdf" file for an overview of how an MD Workflow works.
This new version works with updated config files that uses fw_env for settings.
"""
from __future__ import division
__author__ = "Shyue Ping Ong"
__copyright__ = "Copyright 2... | null | firechute/relaxation/test_wt.py | test_wt.py | py | 5,436 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pymacy.utils.log_utils.get_logger",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 49,
"usage_type": "attribute"
},
{
"api_name": "fireworks.FireTaskBase",
"line_number": 53,
"usage_type": "name"
},
{
"api_n... |
115636340 | from __future__ import print_function
import csv, multiprocessing, cv2, os
import numpy as np
import urllib
#import urllib.request
#import urllib2
import time, random
import requests
import http.client
requests.packages.urllib3.disable_warnings()
def url_to_image(url):
#proxy_addr = getproxy()
#proxy = {'http... | null | download_train.py | download_train.py | py | 3,987 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "requests.packages.urllib3.disable_warnings",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "requests.packages",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "requests.get",
"line_number": 22,
"usage_type": "call"
},
{
"ap... |
645807166 | import os, sys
path = os.path.dirname(os.path.realpath('__file__'))
os.chdir(path)
sys.path.append(os.path.dirname(path))
import matplotlib.pyplot as plt
import numpy as np
from marketsim import MarketSim
# create a new market simulation real market data
market = MarketSim(fin='data/input_dummy.csv', fout='data/out... | null | main.py | main.py | py | 1,373 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.dirname",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "os.chdir",
"line_numbe... |
125797022 | import pygame as pg, sys, random
from pygame.locals import *
pg.init()
pg.display.set_caption('Block collision game by Azez Nassar')
fr = pg.time.Clock()
sq = 50
speed = 10
score = 0
done = False
game_width = 800
game_height = 600
player_pos = [game_width / 2, game_height - 1.2 * sq]
player_color = (0, 153, 76)
score... | null | app.py | app.py | py | 3,156 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pygame.init",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_caption",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "pygame.time.C... |
375664651 | from django.contrib import admin
from django.urls import path, include
from django.conf import settings
from django.conf.urls.static import static
from blog import views
from blog.models import SiteSettings
from django_filters.views import FilterView
if settings.SITE_ONLINE:
urlpatterns = [
path('master-panel... | null | myblog/urls.py | urls.py | py | 1,127 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.conf.settings.SITE_ONLINE",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.urls.path",
"line_number": 12,
"usage_type": "call"
},
{
"api_n... |
359549312 | import os
import requests
import json
import sys
import argparse
from argparse import RawTextHelpFormatter
################################ EDIT ###############################
tau_url = 'https://tautulli.domain.ltd'
plex_url = 'https://plex.domain.ltd:32400'
tau_api_key = 'XXXXXXXXXXXXXXXXXXXXXXXXXXXXX'
plex_tok... | null | debug_stats_monitoring/scripts/plex_health_stats_operations.py | plex_health_stats_operations.py | py | 4,120 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "requests.get",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "argparse.RawTextHel... |
278827742 | #Graphviz - Christian Lück (Maintainer)
from graphviz import Digraph
class Nodo:
#constructor
def __init__(self, orden, hoja):
self.orden = orden
self.hoja = hoja
self.cuenta = 0
self.siguiente = None
self.claves = []
self.hijos = []
self.padre = None
... | null | storage/team08/ArbolB+.py | ArbolB+.py | py | 6,527 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "graphviz.Digraph",
"line_number": 173,
"usage_type": "call"
}
] |
214198572 | ### xenotation
# http://hyperstition.abstractdynamics.org/archives/003538.html
# http://hyperstition.abstractdynamics.org/archives/005047.html
# the below from stack overflow
import random
def primesbelow(N):
# http://stackoverflow.com/questions/2068372/fastest-way-to-list-all-primes-below-n-in-python/3035188#303... | null | xenotation.py | xenotation.py | py | 4,977 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "random.randrange",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 184,
"usage_type": "call"
}
] |
639184819 | from django.shortcuts import render
from django.http import HttpResponse
from . import utils
import json
# from app.utils import getDataDanhSach
# Create your views here.
def api_codeAnalysis(request):
count = utils.codeAnalysis()
print(count)
danhsach = utils.getDataDanhSach()
# print(danhsach)
te... | null | analysis/apis.py | apis.py | py | 1,233 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "json.dumps",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "django.http.HttpResponse",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "django.http.HttpRespon... |
553369226 | from setuptools import setup
import codecs
import os
import re
here = os.path.abspath(os.path.dirname(__file__))
def read(*parts):
with codecs.open(os.path.join(here, *parts), 'r') as fp:
return fp.read()
# https://packaging.python.org/guides/single-sourcing-package-version/
def find_version(*file_paths)... | null | setup.py | setup.py | py | 1,472 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.abspath",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "codecs.open",
"line_num... |
156014856 | import datetime
class Person:
def setPerson(self,name,age):
self.name=name
self.age=age
def printPerson(self):
print(self.name,self.age)
class Bank(Person):
bank_name="sdk"
def createAccount(self,acno,balance):
self.accountno=acno
self.balance=3000
def deposit(s... | null | luminarprojects/objectorientedprograming/bank.py | bank.py | py | 1,033 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "datetime.date.today",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 27,
"usage_type": "attribute"
}
] |
374452502 | """Testing utilities for the MNE BIDS converter."""
# Authors: Chris Holdgraf <choldgraf@berkeley.edu>
# Mainak Jas <mainak.jas@telecom-paristech.fr>
# Stefan Appelhoff <stefan.appelhoff@mailbox.org>
#
# License: BSD (3-clause)
import os.path as op
import pytest
from datetime import datetime
from sci... | null | mne_bids/tests/test_utils.py | test_utils.py | py | 8,754 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.join",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "os.path.dirname",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "mne.__file__",
"line_number"... |
532103404 | import time
import pandas as pd
import numpy as np
import json
CITY_DATA = { 'chicago': 'chicago.csv',
'new york city': 'new_york_city.csv',
'washington': 'washington.csv' }
Possible_cities = [ "new york city", "chicago", "washington" ]
Possible_months = [ "january", "february", "ma... | null | bikeshare_2.py.py | bikeshare_2.py.py | py | 7,619 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pandas.read_csv",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "pandas.to_datetime",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 90,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_nu... |
540892072 | # -*- coding:utf-8 -*-
#
# Copyright @ 2016 OPS Inc.
#
# Author: jinlong.yang
#
import logging
LOG = logging.getLogger(__name__)
class DashboardBlls(object):
def summary_infos(self):
data_info = []
en_list = ['Users', 'Hosts', 'Switchs', 'Plant Rooms']
ch_list = ['用户数', '服务器数', '交换机数', ... | null | lopez/webapps/license/blls/license.py | license.py | py | 675 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
}
] |
54370412 | import logging
from os import path
DATABASE_ENGINE = 'sqlite3'
DATABASE_NAME = ':memory:'
ROOT_URLCONF = 'tardis.urls'
DEBUG = True
STATIC_DOC_ROOT = path.join(path.abspath(path.dirname(__file__)),
'tardis_portal/site_media')
# LDAP configuration
LDAP_ENABLE = False
FILE_STORE_PATH = path... | null | branches/mrtardis/tardis/test_settings.py | test_settings.py | py | 1,482 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.join",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "os.path.abspath",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number"... |
282052318 | from __future__ import print_function
import argparse
import numpy as np
import network_wrapper
from carla.client import make_carla_client
from carla.sensor import Camera
from carla.settings import CarlaSettings
from carla.tcp import TCPConnectionError
def run(host, port, online_training):
n_episodes = args.ep... | null | intelligent_client.py | intelligent_client.py | py | 5,284 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "carla.client.make_carla_client",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "carla.settings.CarlaSettings",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.random.choice",
"line_number": 30,
"usage_type": "call"
},
{
"a... |
465474371 | # Thammasat University, DSI
# DSI 207 Optimization
# Exercise 1 "Linear Optimization: Show how to plot a feasible region"
# @author Roland Petrasch
# @date 23. Mar. 2020
# @version 1.0
import matplotlib.pyplot as plt
from matplotlib.collections import LineCollection
import numpy as np
xmax=110
increment=10
x = np.a... | null | DSI/src/dsi207/4_LinearProgramming/FeasibleRegionExample.py | FeasibleRegionExample.py | py | 984 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.arange",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.maximum",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.minimum",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",... |
593037289 | """
sentry.models.user
~~~~~~~~~~~~~~~~~~
:copyright: (c) 2010-2014 by the Sentry Team, see AUTHORS for more details.
:license: BSD, see LICENSE for more details.
"""
from __future__ import absolute_import
import warnings
from django.contrib.auth.models import AbstractBaseUser, UserManager
from django.db import mode... | null | src/sentry/models/user.py | user.py | py | 3,600 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sentry.db.models.BaseManager",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "sentry.db.models.Model",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "django.contrib.auth.models.AbstractBaseUser",
"line_number": 24,
"usage_type": "name"... |
51254511 | import numpy as np
import time
import argparse
from tqdm import tqdm
from keras.datasets import mnist, cifar10
from keras.models import load_model, Model
from sa import fetch_dsa, fetch_lsa, get_sc
from utils import *
# using to extract SA score of different layers
CLIP_MIN = -0.5
CLIP_MAX = 0.5
if __name__ == "__... | null | run_output_sa_test_update.py | run_output_sa_test_update.py | py | 2,772 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "keras.datasets.cifar10.load_data",
"line_number": 82,
"usage_type": "call"
},
{
"api_name": "keras.datasets.cifar10",
"line_number": 82,
"usage_type": "name"
},
{
"a... |
532180619 | from docker.utils import create_host_config
from common_fixtures import * # NOQA
import websocket as ws
from test_container import assert_execute, assert_stats, assert_ip_inject
CONTAINER_APPEAR_TIMEOUT_MSG = 'Timed out waiting for container ' \
'to appear. Name: [%s].'
NATIVE_TEST_IMA... | null | tests/v3_validation/cattlevalidationtest/core/test_native_docker.py | test_native_docker.py | py | 16,437 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "docker.utils.create_host_config",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "docker.utils.create_host_config",
"line_number": 74,
"usage_type": "call"
},
{
"api_name": "docker.utils.create_host_config",
"line_number": 96,
"usage_type": "call"... |
71804529 | import deform
import re
from pyramid.i18n import get_locale_name
from pyramid.httpexceptions import HTTPFound, HTTPBadRequest, HTTPNotFound
from pyramid.httpexceptions import HTTPUnauthorized
from pyramid.renderers import render_to_response
from pyramid.security import remember
from pyramid.view import view_config
fro... | null | eduiddashboard/views/portal.py | portal.py | py | 12,422 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.getLogger",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "eduiddashboard.session.get_session_user",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "eduiddashboard.utils.get_available_tabs",
"line_number": 48,
"usage_type": "cal... |
405206181 | # -*- coding: UTF-8 -*-
import sys, os
import html2text
import tornado.escape
import config
from whoosh.index import create_in, open_dir
from whoosh.fields import *
from whoosh.qparser import QueryParser
from jieba.analyse import ChineseAnalyzer
# sys.path.append('/opt/torlite/yunsuan')
from torli... | null | script_gen_whoosh_database.py | script_gen_whoosh_database.py | py | 2,889 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "torlite.model.mpost.MPost",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "html2text.html2text",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "tornado.escape.escape.xhtml_unescape",
"line_number": 28,
"usage_type": "call"
},
{
... |
366943764 | #!/usr/bin/python
from flask import Flask, request
import os
import sys
OUTFILENAME = 'output'
TOKEN = '2Ff40CE7GILrWayppkW6Ybs5TgIaCh1m'
#
# REST SERVICE HANDLER
#
app = Flask(__name__)
@app.route('/pinterest', methods=['POST'])
def index():
url = request.form['url']
token = request.form['token']
if... | null | pint_svc.py | pint_svc.py | py | 660 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "flask.Flask",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "flask.request.form",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "flask.request.form"... |
329064937 | from asgiref.sync import async_to_sync
from channels.generic.websocket import WebsocketConsumer
from knox.auth import TokenAuthentication
from rest_framework import exceptions, HTTP_HEADER_ENCODING
class NotificationConsumer(WebsocketConsumer):
def connect(self):
self.token = self.scope['url_route']['kwa... | null | halemate/consumers.py | consumers.py | py | 1,084 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "channels.generic.websocket.WebsocketConsumer",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "knox.auth.TokenAuthentication",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "rest_framework.HTTP_HEADER_ENCODING",
"line_number": 13,
"usage... |
523486803 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
""" tools for getting questions and tournaments from db.chgk.info
"""
import json
from urllib.request import urlopen, HTTPError
from bs4 import BeautifulSoup
def neat(text):
"""
texts of questions from db.chgk.info contain many unnecessary newline
symbols. Thi... | null | xml_tools.py | xml_tools.py | py | 5,756 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "bs4.BeautifulSoup",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "urllib.request.urlopen",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "urllib.req... |
442760271 | from mxnet import nd, gluon, init, autograd, gpu
from mxnet.gluon import nn
import mxnet
from mxnet.gluon.data.vision import datasets, transforms
import matplotlib.pyplot as plt
from time import time
import pickle
import numpy as np
import string
batch_size = 256
def acc(output, label):
Accuracy = (output.argmax... | null | Workshop_Nvidia_DLI/ImageBased/Blood_Cell_Classification/mxnet_BloodCell_3D.py | mxnet_BloodCell_3D.py | py | 3,278 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "mxnet.gluon.data.vision.transforms.Compose",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "mxnet.gluon.data.vision.transforms",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "mxnet.gluon.data.vision.transforms.ToTensor",
"line_number": 21... |
525253580 | import requests
import time
url = "https://api.map.baidu.com/locapi/v2"
header = {
"key": "xLbL8WZK0RmwA98VThCPB0xSRSS27ulK",
"src": "aaa",
"prod": "aaa",
"ver": "1.0",
"trace": "0"
}
data = {
"accesstype": 1,
"macs": 1,
"ctime": str(int(time.time()*1000)),
}
response = requests.post(u... | null | yl_python_code/MY_spider/APITest/baiduAPI/test.py | test.py | py | 391 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "time.time",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 18,
"usage_type": "call"
}
] |
94758070 | r"""Test loss function of LSTM language model.
Test target:
- :py:meth:`lmp.model.LSTMModel.loss_fn`.
"""
import torch
from lmp.model import LSTMModel
def test_input_shape_and_dtype(
lstm_model: LSTMModel,
batch_prev_tkids: torch.Tensor,
batch_next_tkids: torch.Tensor,
):
r"""Input tensors must be ... | null | test/lmp/model/_lstm/test_loss_fn.py | test_loss_fn.py | py | 1,806 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "lmp.model.LSTMModel",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "torch.Tensor",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "torch.Tensor",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "lmp.model.LST... |
560138465 | # -*- coding: utf-8 -*-
#
# * Copyright (c) 2009-2015. Authors: see NOTICE file.
# *
# * 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... | null | download.py | download.py | py | 2,320 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "shapely.wkt.wkt.loads",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "shapely.wkt.wkt",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_name": "shapely.wkt",
"line_number": 43,
"usage_type": "name"
},
{
"api_name": "shapely.wkt.wk... |
66750759 | # -*- coding: utf-8 -*-
# Copyright 2017, IBM.
#
# This source code is licensed under the Apache License, Version 2.0 found in
# the LICENSE.txt file in the root directory of this source tree.
# pylint: disable=invalid-name
"""
One-pulse single-qubit gate.
"""
from qiskit.circuit import CompositeGate
from qiskit.cir... | null | qiskit/extensions/standard/u2.py | u2.py | py | 1,801 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "qiskit.circuit.Gate",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "qiskit.dagcircuit.DAGCircuit",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "qiskit.circuit.QuantumRegister",
"line_number": 32,
"usage_type": "call"
},
{
"a... |
613336130 | import cv2 as cv
import numpy as np
from multiprocessing import Queue, Process
from pyzbar import pyzbar
CAM_ID = 0
CAM_WIDTH = 352 #480
CAM_HEIGHT = 288 #320
signal = 'N'
data = ""
### blue, red 영역의 from ~ to 값의 범위
lower_blue = np.array([90, 171, 149])
upper_blue = np.array([120,255,255])
lower_re... | null | 코드/프로젝트/import_detect.py | import_detect.py | py | 4,479 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.array",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": ... |
615832184 | from django.conf.urls.defaults import patterns, include, url
urlpatterns = patterns('',
url(r'^$', 'chat.views.chat', name='chat'),
url(r'prueba', 'chat.views.prueba'),
url(r'conversation', 'chat.views.conversation'),
url(r'messages', 'chat.views.messages'),
)
| null | urls.py | urls.py | py | 277 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.conf.urls.defaults.patterns",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.defaults.url",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.defaults.url",
"line_number": 6,
"usage_type": "call"
}... |
268873453 | import pandas as pd
import matplotlib as mpl
mpl.use('Agg')
import matplotlib.pyplot as plt
import numpy as np
from sklearn.decomposition import PCA
from scipy import signal
class PCAImpl(object):
def __init__(self, title_prefix, X, random_seed):
self.X = X
self.title_prefix = title_prefix
... | null | Assignment3/UnSupervisedLearning/PCAImpl.py | PCAImpl.py | py | 2,181 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "matplotlib.use",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "numpy.random.seed",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "sklearn.decompositi... |
511613895 | # -*- coding: utf-8 -*-
#
# @Author yxiao@aliyun.com
#
import os
import io
import sys
import xlwt
import xlrd
import csv
from pymongo import *
from collections import Counter
client = MongoClient('localhost', 27017)
db_excel = client.ctrip_comment
collection_names = db_excel.collection_names()
for collection_name in... | null | spiders/batch_mongodb_to_excel_ctrip_comment.py | batch_mongodb_to_excel_ctrip_comment.py | py | 1,617 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "xlwt.Workbook",
"line_number": 23,
"usage_type": "call"
}
] |
27635029 | from tkinter import *
from tkinter import messagebox
from tkinter import *
import cv2
from PIL import Image, ImageTk
import cv2
import time
import webbrowser
# 註冊網站
url = 'https://www.google.com.tw/?hl=zh-TW'
root = Tk()
root.title("Take a shot")
def take_shot():
cap = cv2.VideoCapture(0, cv2.CAP_DSH... | null | footprint/take_a_shot.py | take_a_shot.py | py | 1,683 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "cv2.CAP_DSHOW",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "cv2.waitKey",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "cv2.flip",
"line_... |
381964430 | import matplotlib.pyplot as plt
import argparse
import numpy
parser = argparse.ArgumentParser(description='Parse log file.')
parser.add_argument('log', metavar='N', type=str, nargs='+',
help='File to parse.')
args = parser.parse_args()
file_name = str(args.log).replace("[\'","").replace("\']","")
... | null | src/LogPlotter/plot.py | plot.py | py | 2,196 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 41,
"usage_type": "name"
},
{
"api_name": "mat... |
25324606 | import numpy as np
import cv2
from math import sin, cos, atan2, degrees, pi, tan, radians, sqrt
def p3(labels_in): # retrun [database_out, overlays_out]
"""
Each object contains at least the following attributes.
"object_label", the index label of the object
"x_position" of the center
"y_position... | null | HW1/assignment1/HW1_jchoi100/p3.py | p3.py | py | 3,338 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "math.atan2",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "math.pi",
"line_number": 59,
"usage_type": "name"
},
{
"api_name": "math.sin",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "math.cos",
"line_number": 61,
"us... |
571096282 | import json, os, sys
sys.path.append('..')
from collections import Counter
import re
from lib import utils
def vg_iid_2_vqa_iid(iid, opt):
return iid + opt['vgenome']['base_image_id']
def vqa_iid_2_vg_iid(iid, opt):
if iid < opt['vgenome']['base_image_id']:
raise ValueError
return iid - opt['vgenome']['base... | null | vqa/datasets/vgenome.py | vgenome.py | py | 1,573 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.path.append",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "lib.utils.xprocess",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "lib.utils",
"line_... |
298776681 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Feb 25 01:11:03 2018
@author: mohanacharya
"""
# RNN for predicting Google Stock Prices
# importing the libraries
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
# import only the training set
dataset_train = pd.read_csv('Goo... | null | RecurrentNeuralNetwork.py | RecurrentNeuralNetwork.py | py | 3,319 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pandas.read_csv",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.MinMaxScaler",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "numpy.... |
537978020 | import sys
import re
import collections
# time crunch functions
def crunch_time(days, hours, data):
days[data[0]] += 1
hours[data[1]] += 1
def output_time(days, hours, out_file):
out_file.write("Time frequencies:\n")
for k,v in days.items():
out_file.write(k + ": " + str(v) + "\n")
out_file.write("\n\... | null | tools/crunch2.py | crunch2.py | py | 4,594 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.argv",
"line_number": 94,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 95,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 97,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 98... |
338950631 | import os
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'APP_NAME.settings')
import django
import csv
django.setup()
from videos.models import MODEL_NAMES
from taggit.models import Tag
def populate():
print("In the populator now....")
try:
with open('FILE.csv') as csvfile:
csvreader = csv.reader(csvfile, de... | null | populate.py | populate.py | py | 1,990 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.environ.setdefault",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "django.setup",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"lin... |
295309621 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('User', '0016_user_is_delete'),
]
operations = [
migrations.AlterField(
model_name='friends',
name='f... | null | fateMeet/User/migrations/0017_auto_20170407_1500.py | 0017_auto_20170407_1500.py | py | 644 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.AlterField",
"line_number": 14,
"usage_type": "call"
},
{... |
167856111 | from django.db import models
class Category (models.Model):
name = models.CharField(max_length = 100)
order = models.IntegerField(blank = False, null = False, default=1e5)
def __unicode__(self):
return self.name
class Meta:
ordering = ('order',)
class Link (models.Model):
category... | null | ajax/models.py | models.py | py | 2,160 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.db.models.Model",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "... |
589160577 | from psycopg2 import connect, OperationalError
from psycopg2.errors import DuplicateDatabase
CREATE_DB = "CREATE DATABASE GYM_buddy;"
CREATE_TRAININGS_TABLE = """CREATE TABLE trainings(
id serial PRIMARY KEY,
training_name varchar(255) UNIQUE
)"""
CREATE_EXERCISES_TABLE = """CREATE TABLE exercises(
... | null | db_creation.py | db_creation.py | py | 3,509 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "psycopg2.connect",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "psycopg2.errors.DuplicateDatabase",
"line_number": 71,
"usage_type": "name"
},
{
"api_name": "psycopg2.OperationalError",
"line_number": 74,
"usage_type": "name"
},
{
"api_... |
404401054 | # MCTS
from __future__ import division
import chess
# import chess.engine
# import chess.svg
# import chess.pgn
import time
import datetime
import random
import ast
from copy import deepcopy
from anytree import NodeMixin, RenderTree
class MCTSEPT2Node(NodeMixin):
def __init__(self, state, key, parent=None, chil... | null | MCTS_EPT_2_Node.py | MCTS_EPT_2_Node.py | py | 1,272 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "anytree.NodeMixin",
"line_number": 16,
"usage_type": "name"
}
] |
405975897 | from selenium import webdriver
import pandas as pd
import selenium.common.exceptions
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
import json
def main():
get_url_of... | null | scraping_art_metadata/metadata_scraper.py | metadata_scraper.py | py | 2,305 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pandas.read_csv",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.ChromeOptions",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "selenium.w... |
1230949 | # django imports
from django.conf.urls import url, patterns, include
# restframework imports
from rest_framework import routers
# local imports
from . import views
router = routers.DefaultRouter()
router.register(r'users', views.UserViewSet)
router.register(r'organization_profiles', views.OrganizationProfileViewSet)
... | null | developme/apps/core/urls.py | urls.py | py | 692 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "rest_framework.routers.DefaultRouter",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "rest_framework.routers",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.conf.urls.patterns",
"line_number": 17,
"usage_type": "call"
},
{
... |
73488702 | #############################################################
########### GUI FRONT PANEL ################################
import sys
import numpy as np
import pyqtgraph as pg
from pyqtgraph.Qt import QtGui, QtCore
from pyqtgraph.Point import Point
from itertools import chain
import bs_machine_bsvml
import configpars... | null | mso_main_01.py | mso_main_01.py | py | 36,509 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pyqtgraph.Qt.QtCore.QTimer",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pyqtgraph.Qt.QtCore",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "configparser.ConfigParser",
"line_number": 14,
"usage_type": "call"
},
{
"api_name... |
335572423 | # from django.shortcuts import render
# Create your views here.
from django.http import HttpResponse, JsonResponse
from rest_framework.views import APIView
from rest_framework.response import Response
from rest_framework import status
from rest_framework.parsers import JSONParser
from .models import Enterprise, Cod... | null | enterpriseapi/views.py | views.py | py | 4,077 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.http.JsonResponse",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "rest_framework.status.HTTP_404_NOT_FOUND",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.status",
"line_number": 16,
"usage_type": "name"
... |
257029461 | # encoding:utf-8
# !/usr/bin/env python
# jhScriptUI.py
# author : SeokWon Choi
import sys
reload(sys)
sys.setdefaultencoding('utf-8')
from PySide2 import QtCore, QtGui, QtWidgets
import maya.cmds as cmds
import maya.mel as mel
import platform
import json
import os
import re
if platform.system() == "Windows":
SCR... | null | jhScriptBase/jhScriptUI.py | jhScriptUI.py | py | 9,339 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.setdefaultencoding",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "platform.system",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path",
"... |
457546226 | '''
The size_hint: None, None instruction has been removed from the StickMan
because it will inherit from DraggableWidget in the Python Code.
'''
import kivy
kivy.require('1.10.1')
from kivy.uix.relativelayout import RelativeLayout
from kivy.graphics import Line
'''
The comicwidgets.py file contains the new DraggableWi... | null | pythontutorials/KivyInteractiveApps/ch3/comicwidgets.py | comicwidgets.py | py | 3,571 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "kivy.require",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "kivy.uix.relativelayout.RelativeLayout",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "kivy.graphics.Line",
"line_number": 42,
"usage_type": "call"
}
] |
575748345 | from pathlib import Path
path = input("Enter the path to the series' files: ")
serie = input("Enter the series' name: ")
season = input(f"Enter the season from {serie}: ")
extension = input("Enter the file extension (e.g: mp4): ")
chapter = 1
for file in Path(path).iterdir():
if file.is_file():
new_name =... | null | SeriesFormatter.py | SeriesFormatter.py | py | 509 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pathlib.Path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 12,
"usage_type": "call"
}
] |
327499718 | import json
from requests import Session
from bs4 import BeautifulSoup
# list_blogs is a bit fragile, we should setup and use the real tumblr API to get the list of blogs
# instead of scraping a page that is subject to change.
TUMBLR_CONSUMER_KEY='GLSU29VxzEXfyPGAagvDOxxeWu0beozavFWgK8q6X15oUDzPDP'
TUMBLR_SECRET_KEY=... | null | unitumble/tumblr_api.py | tumblr_api.py | py | 7,549 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "requests.Session",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 93,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSou... |
628520536 | import numpy as np
import matplotlib.pyplot as plt
import math
import random
football_group =np.array([[189, 85]]);
wwe_group =np.array([[220, 120]]);
def avg(arr):
sum = 0
for i in range(len(arr)):
sum = sum + arr[i];
return (sum/(len(arr)));
temp_f_dist = [];
temp_w_dist = [];
football_height ... | null | 4-2/CSE 4204 (Neural Networks and Fuzzy Systems)/Lab 1/nearest_neighbour-classification-with-rogue-pattern.py | nearest_neighbour-classification-with-rogue-pattern.py | py | 2,462 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.array",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_numbe... |
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