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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
182084307 | import sys
import json
import os
import datetime
try:
from unittest import mock
except ImportError:
import mock
try:
from io import StringIO
except ImportError:
from StringIO import StringIO
import py
import pytest
import requests
import arrow
from dateutil.tz.tz import tzutc
from click import get_... | null | tests/test_watson.py | test_watson.py | py | 25,549 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "py.path.local",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "py.path",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
236068755 | '''
program to make .png screenshot of web page
and send it to email
'''
import os
import time
from urllib.parse import urlparse
from selenium import webdriver
from selenium.webdriver.common.desired_capabilities import DesiredCapabilities
from send_mail import send_mail
__author__ = 'sashko'
def main(url, fname)... | null | My_Py_Code/screenshot.py | screenshot.py | py | 1,856 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "selenium.webdriver.common.desired_capabilities.DesiredCapabilities.PHANTOMJS",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "selenium.webdriver.common.desired_capabilities.DesiredCapabilities",
"line_number": 22,
"usage_type": "name"
},
{
"api_name... |
515947236 | """ Implements HyperNEAT's conversion
from genotype to phenotype.
"""
### IMPORTS ###
from itertools import product
# Libs
import numpy as np
# Local
from ..networks.rnn import NeuralNetwork
class HyperNEATDeveloper(object):
""" HyperNEAT developer object."""
def __init__(self, substrate=Non... | null | peas/methods/hyperneat.py | hyperneat.py | py | 4,068 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.mgrid",
"line_number": 45,
"usage_type": "attribute"
},
{
"api_name": "networks.rnn.NeuralNetwork",
"line_number": 62,
"usage_type": "argument"
},
{
"api_name": "networks.rnn.NeuralNetwork",
"line_number": 63,
"usage_type": "call"
},
{
"api_na... |
517167102 | from django.urls import path
from .import views
app_name='login'
urlpatterns = [
path('signup', views.signup,name='signup'),
path('profile/', views.profile,name='profile'),
path('profile/edite', views.profile_edit,name='profile_edit'),
#path('create/', views.create_post, name='create_post'),
]
| null | login/urls.py | urls.py | py | 312 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.urls.path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
}
] |
242938236 | import csv
import math
import subprocess as sp
from argparse import ArgumentParser as ArgPar
def load_storage(model, num, is_round, cuda):
with open("storage/{}/{}/storage.csv".format(model, num), "r", newline = "") as f:
reader = csv.DictReader(f, delimiter = ",", quotechar = '"')
target = {}
... | null | env.py | env.py | py | 2,591 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "csv.DictReader",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "csv.DictReader",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 71,
"usage_type": "call"
}
] |
528532283 | # -*- coding: utf-8 -*-
"""
Created on Wed Sep 18 19:39:52 2019
@author: eliphat
"""
import sys
import io
import ltokenizer
import lparser
import levaluator
def main():
inp = ''
if len(sys.argv) > 1:
with open(sys.argv[1]) as fi:
inp = fi.read(-1)
else:
with io.StringIO() as b... | null | main.py | main.py | py | 589 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.argv",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "io.StringIO",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "levaluator.evaluate",
"li... |
465343936 | import sys
import schiene
import datetime
import pytz
import json
import configparser
import boto3
import pickle
from pytictoc import TicToc
import multiprocessing as mp
import logging
import numpy as np
logpath = "/home/ubuntu/sbmd/logs/"
normlogfilename = "sb03clog_" + sys.argv[1] + "_" \
+ datetime.da... | null | sbahnmuc03c_reversed.py | sbahnmuc03c_reversed.py | py | 3,360 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.argv",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.now",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "logging.ba... |
354392259 | from django.urls import path
from . import views
app_name = 'polls'
urlpatterns = [
path('home/', views.home, name='home'),
path('polls/', views.pollview, name='pollview'),
path('polls/<int:poll_id>/page/<int:page_idx>', views.pages, name='pages'),
path('polls/poll<int:poll_id>/results', views.result,... | null | dlp/polls/urls.py | urls.py | py | 1,016 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
2704383 | import numpy
import matplotlib.pyplot as plt
def sample_new_point(origin_square, length_halfsquare, subidx):
dx, dy = subidx % 2, subidx // 2
offset = length_halfsquare * numpy.array([dx, dy], dtype=float)
random_offset = numpy.array([numpy.random.random(), numpy.random.random()])
return origin_square... | null | YALE_3D_Design_and_Fab/Voronoi Foam Project/original supplement/code/generate_seeds_recursive.py | generate_seeds_recursive.py | py | 2,479 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.array",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.random.random",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_num... |
622679236 | # Execute a trigger using a congressional vote.
# ---------------------------------------------
from django.core.management.base import BaseCommand, CommandError
from django.conf import settings
from contrib.models import Trigger
from contrib.legislative import execute_trigger_from_data_urls
class Command(BaseComman... | null | contrib/management/commands/execute_trigger.py | execute_trigger.py | py | 1,172 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "contrib.models.Trigger.objects.get",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "contrib.models.Trigger.objects",
"line_number": 22,
"usage_typ... |
286039787 | # coding=utf-8
'''
======================
3D surface (color map)
======================
Demonstrates plotting a 3D surface colored with the coolwarm color map.
The surface is made opaque by using antialiased=False.
Also demonstrates using the LinearLocator and custom formatting for the
z axis tick labels.
'''
from m... | null | Optimisation_lineaire/simplex_dev2_ex3_plot3d.py | simplex_dev2_ex3_plot3d.py | py | 1,427 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "numpy.arange",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.arange"... |
16914057 | """
This module provides a CNN auto-encoder.
The model can be adjusted, such that 0-3 pooling operations will be performed.
"""
import numpy as np
from torch import nn
class MaxGridPool(nn.Module):
"""
This class enables max pooling relative to the featuremaps size.
Its counterpart is the :class:`src.nn.U... | null | src/nn.py | nn.py | py | 9,125 | 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": "numpy.sqrt",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "torch.nn.MaxPool2d",
"line... |
226979710 | from datetime import datetime, timedelta
from pymongo import MongoClient
import os
# cliente = MongoClient('localhost', 27017)
cliente = MongoClient(os.environ.get('data_eoc_mongo_host'),
int(os.environ.get('data_eoc_mongo_port')))
banco = cliente['doc']
class MongoArticleItem:
collection ... | null | doc/doc/mongo_wrapper.py | mongo_wrapper.py | py | 577 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
... |
355579185 | import pickle as pk
import re
import numpy as np
from keras.models import load_model
from keras.preprocessing.sequence import pad_sequences
from util import load_word_re, load_type_re, load_pair, word_replace, map_item
def ind2label(label_inds):
ind_labels = dict()
for word, ind in label_inds.items():
... | null | classify.py | classify.py | py | 2,116 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "util.load_word_re",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "util.load_type_re",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "util.load_pair",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "util.load_pair",
... |
95195473 | import plotly
import plotly.graph_objs as go
import pandas as pd
import json
def create_plot_calculos(capital_vector):
x_axis = capital_vector.index.values
fig = go.Figure(data=[
go.Scatter(
name='Juros',
x=x_axis,
y=capital_vector['Juros Acumulados'].values
... | null | application/plotly_wrapper.py | plotly_wrapper.py | py | 2,150 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "plotly.graph_objs.Figure",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "plotly.graph_objs",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "plotly.graph_objs.Scatter",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "... |
451117721 | import csv
import time
import requests
from bs4 import BeautifulSoup
url = 'https://quotes.toscrape.com/'
website = BeautifulSoup(requests.get(url).text, 'html.parser')
quotes = website.find_all('div', class_='quote')
header = ['Text', 'Author', 'Tags']
text, author, tags = [], [], []
for quote in quotes... | null | quizz4.py | quizz4.py | py | 820 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "bs4.BeautifulSoup",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "csv.writer",
"line_number": 22,
"usage_type": "call"
}
] |
412615273 | from argparse import ArgumentParser
from lxml import etree
import logging
import numpy as np
def restricted_float(x):
try:
x = float(x)
except ValueError:
raise ArgumentTypeError("%r not a floating-point literal" % (x,))
if x < 0.0 or x > 1.0:
raise ArgumentTypeError("%r not in ra... | null | compress.py | compress.py | py | 9,250 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.info",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "logging.debug",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "logging.debug",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_num... |
573304916 | # -*- coding: utf-8 -*-
"""
Spyder Editor
This is a temporary script file.
"""
#import copy
import numpy as np
import pandas as pd
import matplotlib
#import matplotlib.pyplot as plt
matplotlib.style.use('ggplot')
formatDate = lambda x: (int(x[1]) - 1) * 7 + int(x[3])
def writeLocalCsv(path, frames):
#output = o... | null | bbb.py | bbb.py | py | 2,796 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "matplotlib.style.use",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "matplotlib.style",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_csv",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.int"... |
600559882 |
from django.conf import settings
import pytest
from model_mommy import mommy
from usaspending_api.references.models import Agency, OfficeAgency, SubtierAgency, ToptierAgency
def pytest_configure():
# To make sure the test setup process doesn't try
# to set up another test db, remove everything but the defau... | null | usaspending_api/conftest.py | conftest.py | py | 1,345 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.conf.settings.DATABASES.pop",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.conf.settings.DATABASES",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings",
"line_number": 13,
"usage_type": "name"
}... |
194012912 | import numpy as np
import cv2
pictureNum = 6
showTime = 5
timeStep = 100
picture = list()
for i in range(pictureNum):
pictureAdress = 'C:/Users/zczc1/Pictures/Saved Pictures/Picture #' + str(i + 1) + '.jpg'
picture.append(cv2.imread(pictureAdress, 1))
def slideShow():
while(True):
f... | null | Desk Arranging Robot/Vision/OpenCV Examples/slideShow.py | slideShow.py | py | 742 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "cv2.imread",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.addWeighted",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "cv2.waitKey",
"line_number"... |
606495558 | # -*- encoding: utf-8 -*-
##############################################################################
#
# OpenERP, Open Source Management Solution
# Copyright (C) 2011 Domsense s.r.l. (<http://www.domsense.com>).
#
# This program is free software: you can redistribute it and/or modify
# it under the term... | null | custom/Report_8_Se/sale.py | sale.py | py | 1,947 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "osv.osv.osv",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "osv.osv",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "datetime.datetime... |
237836787 | #!/bin/env python
# -*- coding: cp1252 -*-
"""
Simple HtmlWindow that redirects all web links (http://)
to a new browser instance.
Created on: 7/09/2010
Author: Tennessee Carmel-Veilleux (tcv -at- ro.boto.ca)
Revision: $Rev: 20 $
Copyright 2010 Tennessee Carmel-Veilleux
Description:
Simple HtmlWindow t... | null | AutoBGA/ExternalBrowserHtmlWindow.py | ExternalBrowserHtmlWindow.py | py | 2,378 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "wx.html.HtmlWindow",
"line_number": 50,
"usage_type": "attribute"
},
{
"api_name": "wx.html",
"line_number": 50,
"usage_type": "name"
},
{
"api_name": "wx.html.HtmlWindow.__init__",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "wx.html.H... |
76095793 | import json #dirbti su json tipo duomenim
import requests #siusti http uzklausas
import csv #dirbti su .csv tipo failais
createUrl = 'http://127.0.0.1:5000/create/'
usersUrl = 'http://127.0.0.1:5000/members/'
#Sukuria tik viena useri pagal imputa
def fun_create_usr(createUrl):
fname = input('enter name:... | null | webscript.py | webscript.py | py | 1,909 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "requests.put",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": ... |
210240400 | """
Первая версия первого задания
"""
from collections import Counter
import timeit
from students.mignatenko.day1.task1.constants import TEXT, REPEAT_COUNT
def func():
result={}
result['vowels'] = dict(Counter(c for c in TEXT.lower() if c in 'aeiou'))
result['consonants'] = dict(Counter(c for c in TEXT.l... | null | Python/SCRIPT-003 Python Applied/src/students/mignatenko/day1/task1/init.py | init.py | py | 495 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "collections.Counter",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "students.mignatenko.day1.task1.constants.TEXT.lower",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "students.mignatenko.day1.task1.constants.TEXT",
"line_number": 12,
... |
374463287 | from nose.tools import raises, assert_raises
from MTADelayPredict.subway_line import SubwayLine, N_STOP_LIST
@raises(ValueError)
def test_wrong_direction_line():
bad_line = SubwayLine(['R1N', 'R2S'])
@raises(ValueError)
def test_underspecified_stops():
bad_line = SubwayLine(['R1', 'R2'])
def test_stop_idx():... | null | tests/test_subway_line.py | test_subway_line.py | py | 942 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "MTADelayPredict.subway_line.SubwayLine",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "nose.tools.raises",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "MTADelayPredict.subway_line.SubwayLine",
"line_number": 10,
"usage_type": "call"
... |
67832360 | from django.test import TestCase
from django.contrib.auth.models import User
from rest_framework.test import APIClient
class TestPost(TestCase):
def setUp(self):
self.user = User.objects.create(username="Foo")
def test_post_request_json(self):
""" Ensure POST'd JSON data is accepted """
... | null | snippets/tests.py | tests.py | py | 930 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.test.TestCase",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.contrib.auth.models.User.objects.create",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.models.User.objects",
"line_number": 8,
"usage_type... |
368835803 | #!/usr/bin/env python
import http.client
# address = "example.com"
address = "127.0.0.1:1234"
conn = http.client.HTTPSConnection(address)
conn.request("GET", "/")
r = conn.getresponse()
print(r.status, r.reason)
data1 = r.read()
print(data1)
# conn.request("GET", "/")
# r = conn.getresponse()
# while not r.closed... | null | client/client_http.py | client_http.py | py | 410 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "http.client.client.HTTPSConnection",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "http.client.client",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "http.client",
"line_number": 9,
"usage_type": "name"
}
] |
613531386 | import pygame
class Player:
def __init__(self,x=120,y=300,width=32,height=32):
self.rect = pygame.Rect(x,y,width,height)
self.texture = pygame.transform.scale(pygame.image.load("./data/img/player.png"),(width,height))
self.texture.set_colorkey((255,255,255))
self.gravity = 4
... | null | first/data/player.py | player.py | py | 981 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pygame.Rect",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pygame.transform.scale",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pygame.transform",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "pygame.image.lo... |
322551242 | from aniLink import animeLink
from flask import Flask,render_template,request
from aniForm import aniForm
from colorama import Fore, Back, Style
import time
import random
import binascii
app=Flask(__name__)
app.secret_key=binascii.hexlify(str(random.random()).encode("utf-8"))
def getData(website,keyword):
anime=a... | null | anigrab/server.py | server.py | py | 2,853 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "binascii.hexlify",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "random.random",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "aniLink.animeLink",
"li... |
461493472 | # -*- coding: utf-8 -*-
# -----------------------------------------------------------------------------
# Gated working memory with an echo state network
# Copyright (c) 2018 Nicolas P. Rougier
#
# Distributed under the terms of the BSD License.
# ------------------------------------------------------------------------... | null | attic/data.py | data.py | py | 7,940 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.r_",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "numpy.ones",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.convolve",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_numbe... |
170791410 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Author : Emma E. M. Hobbs
#
# Contact:
# eemh1@st-andrews.ac.uk
#
# Emma Hobbs,
# School of Biology,
# University of St Andrews,
# Biomedical Sciences Research Complex,
# St Andrews,
# Fife,
# KY16 9ST
# Scotland,
# UK
#
# MIT License
import setuptools
from pathlib im... | null | setup.py | setup.py | py | 2,099 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pathlib.Path",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "setuptools.setup",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 62,
"usage_type": "call"
}
] |
410376779 | #app/ecommend.py
# Imports
from os import path
import pandas as pd
import pickle
import json
# Load pickled vectorizer and model
with open('./pickles/tfidf.pkl', 'rb') as tfidf_pkl:
tfidf = pickle.load(tfidf_pkl)
with open('./pickles/nn_model.pkl', 'rb') as nn_pkl:
nn_model = pickle.load(nn_pkl)
#with ... | null | app/recommend.py | recommend.py | py | 3,175 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pickle.load",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 28,... |
502260800 | import cv2
import numpy as pd
img = cv2.imread('lenna.png')
height, width = img.shape[:2]
#starting pixel coordinates('top left of cropping rectangle')
start_row, start_col = int(height*.25), int(width*.25)
#ending the pixel coordinates(bottom right)
end_row, end_col = int(height*.75), int(width*.75)
#Use indexing ... | null | crop.py | crop.py | py | 502 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "cv2.imread",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "cv2.waitKey",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 19,
... |
52272731 | import os
import shutil
import markdown
def isCustomCompile():
return True
js_outer = '<script type="text/javascript">%s</script>'
def genHtml(folderOut):
files = os.listdir('.')
files = [f for f in files if f.find('__pycache') == -1]
for f in files:
shutil.copyfile(f, os.path.join(f, os... | null | articles/web/HTMLCanvasAnimationAtoms/compile.py | compile.py | py | 895 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.listdir",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "shutil.copyfile",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": ... |
554764691 | # write your code here
import collections
import os
import sys
import re
import hashlib
import sqlite3
args = sys.argv
if len(args) != 2:
print('Directory is not specified')
exit(-1)
path = args[1]
sorting_options = {'1': 'DESC', '2': 'ASC'}
file_format = input('Enter file format: ')
print('\nSize sorting op... | null | Duplicate File Handler/Duplicate File Handler/task/handler.py | handler.py | py | 3,973 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.argv",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "sqlite3.connect",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.walk",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "re.match",
"line_number": 40... |
130925232 | #!/usr/bin/python
import os
import sys
import time
import datetime
from dateutil.relativedelta import relativedelta
import operator
import re
import shutil
from config_upload import upload_base
'''this is launched by file_upload to update the index page of the media folder; consolidate bulletins later'''
allowed_ex... | null | maintenance/media_archives.py | media_archives.py | py | 6,382 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.listdir",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "os.path.getmtime",
"line_num... |
201288243 | #!/usr/bin/env python3
"""Import data from daily attitudes heartbeat survey into BigQuery."""
import datetime as dt
import itertools
import re
from argparse import ArgumentParser
from time import sleep
import pytz
import requests
from google.cloud import bigquery
parser = ArgumentParser(description=__doc__)
parser.... | null | sql/moz-fx-data-shared-prod/telemetry_derived/surveygizmo_daily_attitudes/import_responses.py | import_responses.py | py | 4,868 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_nam... |
246912248 | import jsonlines
from collections import Counter
from collections import defaultdict
def read_in_jsonl(file):
with open(file, 'r') as infile:
reader = jsonlines.Reader(infile)
lines = reader.iter()
lines = list(lines)
return lines
def count_entity_types(json_docs):
all_types = []... | null | descriptives.py | descriptives.py | py | 1,641 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "jsonlines.Reader",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "collectio... |
342440913 | #!/usr/bin/env python
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.backends.backend_pdf import PdfPages
val_data = np.genfromtxt('/scratch/src/cuIBM-FSI/validation-data/cylinderRe40-KL95.txt')
force = np.genfromtxt('forces.txt')
plt.plot(0.5*val_data[:,0], val_data[:,1], 'o', color = 'red', mark... | null | scripts/python/plotDrag.py | plotDrag.py | py | 732 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.genfromtxt",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.genfromtxt",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.pypl... |
8365695 | import requests
from bs4 import BeautifulSoup as bs
# 使用def定义函数，myurl是函数的参数
def get_url_name(myurl):
user_agent = "Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/75.0.3770.142 Safari/537.36"
header = {'user-agent' : user_agent}
response = requests.get(myurl, headers... | null | week01/shuncon_requests/shun_bs4_autopages.py | shun_bs4_autopages.py | py | 1,016 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "requests.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_numb... |
631233844 | import pickle
import os
import six
from enum import Enum
class DictOption(Enum):
Radical = 1
Pinyin = 2
all_option = list(DictOption)
class Radical(object):
_dictionary_file_name = 'dictionary.pickle'
_dict_dir = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'data')
def __init__(se... | null | cnradical/radical.py | radical.py | py | 1,812 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "enum.Enum",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number... |
588225000 |
import logging
import cStringIO
import traceback
import os
import datetime
import pytz
from db.db import SS
import db.model as m
from app.util import Selector, Batcher
from app.i18n import get_text as _
log = logging.getLogger(__name__)
def run_recurring_utterance_selections(task):
rs = m.UtteranceSelection.que... | null | jobs/job_run_recurring_utterance_selections.py | job_run_recurring_utterance_selections.py | py | 2,034 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.getLogger",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "db.model.UtteranceSelection.query.filter",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "db.model.UtteranceSelection",
"line_number": 20,
"usage_type": "attribute"
}... |
130019134 | #!/usr/bin/env python
#-*- coding: utf-8 -*-
'''
# -*- coding: Latin-1
# -*- coding: iso-8859-1
# -*- coding: utf-8 -*-
Created on 18 jun 2015
@author: s057wl
'''
import ibm_db
ibm_db_conn = ibm_db.connect('pydev', 'PDSN', 'secret')
import ctypes
def getConnectAtrr(conn, odbc, infotype):
# total_buf_le... | null | src/misc/test_db2_connect.py | test_db2_connect.py | py | 5,356 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "ibm_db.connect",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pprint.pprint",
"line_number": 61,
"usage_type": "attribute"
},
{
"api_name": "pypyodbc.dataSources",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "api_databbases... |
322471476 | #!/usr/bin/python
from jinja2 import Environment, FileSystemLoader
from xhtml2pdf import pisa
import optparse
import logging
import json
import sys
logging.basicConfig(format='%(asctime)s - %(levelname)s - %(message)s', level=logging.INFO)
env = Environment(loader=FileSystemLoader('.'))
class Reporter:
def __i... | null | test/benchmark/FosdkBenchmark/report.py | report.py | py | 2,271 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.basicConfig",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "jinja2.Environment",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "jinja2.FileSys... |
388086055 | from datetime import datetime
class BankAcc:
def __init__(self,name,phone_number):
self.name=name
self.phone_number=phone_number
self.balance=0
self.loan=0
self.statement=[]
def show_balance(self):
return f"Hello {self.name} you balance is {self.balance}"
... | null | bank.py | bank.py | py | 6,150 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "datetime.datetime.now",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.now",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "datetim... |
584801874 | import pytz
from datetime import datetime
from amazon.api import AsinNotFound
from django.db.models import CharField
from django.db.models import Manager as DgManager
from django.db.models import Model
from django.db.models import PositiveSmallIntegerField
from django.db.models import Q
from accounts.models import A... | null | coop/models.py | models.py | py | 5,214 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.db.models.Manager",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "accounts.models",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "accounts.models.AccountManager",
"line_number": 23,
"usage_type": "call"
},
{
"api_name"... |
478981248 | from rest_framework.throttling import SimpleRateThrottle
from django.conf import settings
class AccountThrottling(SimpleRateThrottle):
scope = 'account'
THROTTLE_RATES = {
'account': settings.THROTTLING_RATES,
}
def get_cache_key(self, request, view):
account = request.query_params.ge... | null | luffyapi/apps/user/throttling.py | throttling.py | py | 408 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "rest_framework.throttling.SimpleRateThrottle",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "django.conf.settings.THROTTLING_RATES",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings",
"line_number": 8,
"usage_typ... |
366581422 | from selenium import webdriver
from paresrs.ncert_parsers import Ncert_Parser
chrome = webdriver.Chrome(executable_path="/Users/ulaganathan/Software/ChromeDriver/chromedriver")
chrome.get("https://ncert.nic.in/textbook.php")
ncert_parser_obj = Ncert_Parser(chrome)
for classes in ncert_parser_obj.class_options:
p... | null | chrome_driver_programs/ncert_website/app.py | app.py | py | 955 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "paresrs.ncert_parsers.Ncert_Parser",
"line_number": 7,
"usage_type": "call"
}
] |
92283236 | import asyncio
from typing import List
import pytest
from typedflow.nodes import LoaderNode
from typedflow.tasks import DataLoader
@pytest.fixture
def loader_node() -> LoaderNode[str]:
lst: List[str] = ['hi', 'hello', 'konnichiwa']
loader: DataLoader[str] = DataLoader(gen=lst, batch_size=2)
node: Loader... | null | typedflow/tests/nodes/test_loader_node.py | test_loader_node.py | py | 1,074 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "typing.List",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "typedflow.tasks.DataLoader",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "typedflow.nodes.LoaderNode",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "pyt... |
338311187 | __author__ = 'cfiloteo'
from django.core.paginator import Paginator, EmptyPage, PageNotAnInteger
from django.core import serializers
import json
class ajaxPaginator(Paginator):
rows_per_page = 5
page_number = 1
fields = ()
format = 'json'
def __init__(self, *args, **kwargs):
super().__in... | null | lib/ajaxPagination.py | ajaxPagination.py | py | 1,480 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.core.paginator.Paginator",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.core.paginator.PageNotAnInteger",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "django.core.paginator.EmptyPage",
"line_number": 24,
"usage_type": ... |
622509543 | import json
from django.core.paginator import EmptyPage, Paginator, PageNotAnInteger
from django.shortcuts import render, get_object_or_404
from django.contrib.auth.decorators import login_required
from .models import ArticleColumn, ArticlePost
from .forms import ArticleColumnForm, ArticlePostForm
from django.views.dec... | null | article/views.py | views.py | py | 8,821 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "models.ArticleColumn.objects.filter",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "models.ArticleColumn.objects",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "models.ArticleColumn",
"line_number": 26,
"usage_type": "name"
},... |
477118132 | import torch
from pytorch_pretrained_bert import BertTokenizer
from pytorch_pretrained_bert.modeling import BertPreTrainedModel, BertModel
from pytorch_pretrained_bert.optimization import BertAdam
from pytorch_pretrained_bert.file_utils import WEIGHTS_NAME, CONFIG_NAME
import csv, os
import numpy as np
import ast
from ... | null | others/BERT_multilabel.py | BERT_multilabel.py | py | 17,234 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.getLogger",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pytorch_pretrained_bert.modeling.BertPreTrainedModel",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "pytorch_pretrained_bert.modeling.BertModel",
"line_number": 31,
"u... |
322071772 | import os
import sys
import torch
import struct
import numpy as np
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), '.\\')))
from KeyMap import *
fileName = os.path.join('checkpoint', '20191104_resnet10_quant_ch8_224x', 'checkpoint_224x_fuse_b100.pth')
# fileName = os.path.join('checkpoint', ... | null | examples/classifier_compression/LoadModelCkp.py | LoadModelCkp.py | py | 12,278 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.path.insert",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
495725401 | import pygame
import math
from effects.Explosion import Explosion
class EnemyProjectile(pygame.sprite.Sprite):
"""This class is base class for all bullet projectiles by the enemy.
"""
def __init__(self, game, enemy, pos):
"""__init__ method for EnemyProjectile class
Args:
... | null | bullets/EnemyProjectile.py | EnemyProjectile.py | py | 4,602 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pygame.sprite",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "pygame.sprite.Sprite.__init__",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pygame.sprite",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "py... |
150503246 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
from django.conf import settings
import django.contrib.auth.models
class Migration(migrations.Migration):
dependencies = [
('auth', '0006_require_contenttypes_0002'),
migrations.swappable_depen... | null | client/migrations/0001_initial.py | 0001_initial.py | py | 5,012 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.swappable_dependency",
"line_number": 11,
"usage_type": "call... |
477607430 | from django.shortcuts import render,redirect
from .models import properties,shortlist,notes,tourrequests,offers,propertyrating
from .forms import propertyform
from django.contrib.auth.decorators import login_required
from django.core.files.storage import FileSystemStorage
from mysite.models import profileModel
from dja... | null | ptm/functionality/views.py | views.py | py | 17,700 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "mysite.models.profileModel.objects.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "mysite.models.profileModel.objects",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "mysite.models.profileModel",
"line_number": 15,
"usage_typ... |
114300888 | import os
import re
from sys import stdout
from time import sleep
from datetime import datetime
from subprocess import Popen, PIPE
from copy import deepcopy as copy
# from random import randint # TODO Usado somente em testes
import multiprocessing as mp
import xml.etree.ElementTree as et
def memory_usage_ps():
o... | null | RanSharing/Filter/filter.py | filter.py | py | 6,171 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "subprocess.Popen",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "subprocess.PIPE",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "sys.stdout",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "sys.stdout",
"li... |
300910657 | import pandas as pd
import numpy as np
from sklearn.preprocessing import MinMaxScaler
from sklearn.model_selection import train_test_split
from sklearn.linear_model import Lasso
from sklearn.feature_selection import SelectFromModel
import warnings
warnings.filterwarnings("ignore", category=DeprecationWarning)
def fea... | null | MachineLearning-Projects--master/House Price prediction (kaggle)/feature_selection.py | feature_selection.py | py | 1,445 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pandas.DataFra... |
356714770 | import base64
import uuid
import os
from openpyxl.chart import (
LineChart,
BarChart,
Reference,
Series
)
from openpyxl.styles import PatternFill, Border, Side, Alignment, Font
from openpyxl.drawing.image import Image
from openpyxl import Workbook
from openpyxl.chart.label import DataLabelList
#######... | null | myems-api/excelexporters/virtualmetercost.py | virtualmetercost.py | py | 13,827 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "base64.b64encode",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "os.remove",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "openpyxl.Workbook",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "openpyxl.styles.Font",
... |
589367352 | """
构建数据集
"""
import json
import torch
import torch.nn as nn
import nn_models.nn_config as nn_config
from torch.utils.data import Dataset
import numpy as np
from tqdm import tqdm
import pickle
import dgl
import random
from functools import reduce
def tokenizer(s):
"""
:param s: 摘要文本，切分成token
:return:
... | null | code/nn_models/data.py | data.py | py | 8,928 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pickle.load",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "random.shuffle",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "random.shuffle",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "random.shuffle",
"line_... |
295911800 | from pyspark import SparkContext
from pyspark.python.pyspark.shell import spark
from pyspark.sql import SQLContext
sc = SparkContext(appName="query1")
sqlContext = SQLContext(sc)
lineitem = spark.read.parquet("hdfs://namenode:8020/hossein-parquet-data/lineitem.parquet")
from datetime import datetime
from datetime im... | null | OLAP/spark_query/query_in_parquet_format/spark_query1.py | spark_query1.py | py | 1,307 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pyspark.SparkContext",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.SQLContext",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pyspark.python.pyspark.shell.spark.read.parquet",
"line_number": 8,
"usage_type": "call"
},
... |
526655981 | # Copyright (c) Microsoft. All rights reserved.
# Licensed under the MIT license. See LICENSE.md file in the project root
# for full license information.
# ==============================================================================
from __future__ import print_function
import os
import math
import argparse
import ... | null | cntk/vgg16/VGG16_ImageNet_Distributed.py | VGG16_ImageNet_Distributed.py | py | 10,779 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.dirname",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line... |
442342683 | from .AbstractPoolingPyramid import AbstractPoolingPyramid
import scipy.sparse
import pyamg
import numpy as np
#from graphcnn.util.modelnet.pointCloud2Graph import ply2graph
import tensorflow as tf
class LloydPoolingPyramid(AbstractPoolingPyramid):
def __init__(self,numRepresentations,companderConstructor, ratios... | null | src/graphcnn/util/pooling/LloydPoolingPyramid.py | LloydPoolingPyramid.py | py | 1,331 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "AbstractPoolingPyramid.AbstractPoolingPyramid",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "pyamg.aggregation.aggregate.lloyd_aggregation",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pyamg.aggregation",
"line_number": 19,
"usage_... |
373411794 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Sep 6 17:42:28 2018
@author: Samuele Garda
"""
import argparse
from utils.prepare_shootout import preprocess
from evaluation.evaluation import load_eval_data
def parse_arguments():
"""
Parse command line arguments.
"""
parser = argparse.Ar... | null | evaluation/gen_keep_vocab.py | gen_keep_vocab.py | py | 1,234 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "evaluation.evaluation.load_eval_data",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "utils.prepare_shootout.preprocess",
"line_number": 34,
"usage_type": "call"
... |
312280234 | # coding=utf-8
import argparse
import textwrap
import time
import os, sys
from torch.autograd import Variable
sys.path.append(os.path.dirname(__file__))
from utils.config import process_config, check_config_dict
from utils.logger import ExampleLogger
from trainers.example_model import ExampleModel
from trainers.exampl... | null | test.py | test.py | py | 3,771 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.path.append",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
359581538 | import script_context
import requests
from Stonks.utilities.config import apikey
import pandas as pd
import matplotlib.pyplot as plt
import time
import importlib
import h5py
import os
import sys
import numpy as np
import arrow
def grub(symbol='VIX9D', startdate=1581921000000):
# define endpoint
price_endpoin... | null | Stonks/DataGrubbing/VIX_grubbing.py | VIX_grubbing.py | py | 2,388 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "Stonks.utilities.config.apikey",
"line_number": 20,
"usage_type": "argument"
},
{
"api_name": "requests.get",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "pandas.Dat... |
374192318 | import base64
import json
import boto3
import os
import uuid
ROUTING_KEY = "delivery-receipts"
def lambda_handler(event, context):
sqs = boto3.resource('sqs')
queue = sqs.get_queue_by_name(
QueueName=f"{os.getenv('NOTIFICATION_QUEUE_PREFIX')}{ROUTING_KEY}"
)
for record in event["Records"]:
... | null | lambda_functions/ses_callback/ses_callback_lambda.py | ses_callback_lambda.py | py | 1,746 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "boto3.resource",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "uuid.uuid4",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "base64.b64encode",
"line_numb... |
225214698 |
import serial
import struct
import sys
import operator
import argparse
import binascii
import time
#VRCSR protocol defines
SYNC_REQUEST = 0x5FF5
SYNC_RESPONSE = 0x0FF0
PROTOCOL_VRCSR_HEADER_SIZE = 6
PROTOCOL_VRCSR_XSUM_SIZE = 4
#CSR Address for sending an application specific custom command
ADDR_CUSTOM_COMM... | null | thruster.py | thruster.py | py | 4,959 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "serial.Serial",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "struct.pack",
"lin... |
291913872 | #!/usr/bin/python
# modini.py -- modifies ini files from commandline
# ----------------------------------------------------------------------------
# "THE BEER-WARE LICENSE" (Revision 42):
# pmoss.robinson@gmail.com
# wrote this file. As long as you retain this notice you
# can do whatever you want with this stuf... | null | modini.py | modini.py | py | 1,156 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "configobj.ConfigObj",
"line_number": 22,
"usage_type": "call"
}
] |
343979802 | import gym
from Reinforcement_learning import DDPG
import numpy as np
MAX_EPISODES = 200
MAX_EP_STEPS = 200
LR_A = 0.001 # learning rate for actor
LR_C = 0.002 # learning rate for critic
GAMMA = 0.9 # reward discount
TAU = 0.01 # soft replacement
MEMORY_CAPACITY = 10000
BATCH_SIZE = 32
RENDER = False
E... | null | build/lib/Reinforcement_learning/test/run_ddpg.py | run_ddpg.py | py | 1,322 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "gym.make",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "Reinforcement_learning.DDPG",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.clip",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "numpy.random.normal",... |
157851199 | import cv2
import numpy as np
from scipy import sparse
# Read the image
image = cv2.imread('MicrosoftTeams-image (2).png')
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
# Set threshold level
threshold_level = 100
# Find coordinates of all pixels below threshold
coords = np.column_stack(np.where(gray < t... | null | matrix_process.py | matrix_process.py | py | 1,613 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "cv2.imread",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "numpy.column_stack",
... |
41317362 | import math
import fractions
n= int(input())
while(n > 0 ):
st = (input())
L = st.split();
a = int(L[0])
b = int (L[1])
cd = fractions.gcd(a, b)
print(cd)
| null | পাইথন /gcd.py | gcd.py | py | 180 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "fractions.gcd",
"line_number": 9,
"usage_type": "call"
}
] |
164350404 | #coding: utf-8
import jieba
from sklearn.feature_extraction.text import TfidfTransformer
from sklearn.feature_extraction.text import CountVectorizer
texts=[]
for i in range(3):
with open('text'+str(i+1)+'.txt') as fr:
texts+=fr.readlines()
# print(texts[0])
def creadstoplist():
stwlist =... | null | tf-idf/tf-idf_chinese_2.py | tf-idf_chinese_2.py | py | 1,685 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "jieba.cut",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "sklearn.feature_extraction.text.CountVectorizer",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "sklearn.feature_extraction.text.TfidfTransformer",
"line_number": 38,
"usage_ty... |
289446614 | import numpy as np
get_ipython().run_line_magic('matplotlib', 'inline')
import matplotlib.pyplot as plt
from matplotlib.colors import ListedColormap
from sklearn.svm import SVR
from qiskit import Aer
from qiskit.aqua import QuantumInstance
from qiskit.aqua.components.feature_maps import SecondOrderExpansion
from tools ... | null | non-linear.py | non-linear.py | py | 1,925 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.random.seed",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "numpy.sort",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.random.random",
... |
345516899 | #!/usr/bin/env python
import numpy as np
from keras.models import Sequential
from keras.layers import Dense, Flatten, TimeDistributed, Reshape
from keras.layers import LSTM, Conv2D, MaxPooling2D, Activation
from keras.preprocessing.image import img_to_array, array_to_img
from keras.preprocessing import sequence
import... | null | readData.py | readData.py | py | 4,291 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.load",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "keras.models.Sequential",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "keras.layers.TimeDistributed",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "keras... |
380214788 | # Copyright 2020 The Cirq Developers
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in ... | null | dev_tools/conftest.py | conftest.py | py | 1,082 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pytest.mark.skip",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_number": 28,
"usage_type": "attribute"
}
] |
161618604 | from flask import Flask
from flask import render_template
from flask import Response, request, jsonify
import re
import copy
app = Flask(__name__)
current_id = 1
word_learned_lists = []
# non_ppc_people = [
# "Phyllis",
# "Dwight",
# "Oscar",
# "Creed",
# "Pam",
# "Jim",
# "Stanley",
# "Michael",
# "Kevin",
#... | null | Korean_Learning_Website/server.py | server.py | py | 16,357 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 336,
"usage_type": "call"
},
{
"api_name": "flask.jsonify",
"line_number": 351,
"usage_type": "call"
},
{
"api_name": "flask.render_templat... |
356491312 | # -*- coding: utf-8 -*-
""" fichier Solve """
import numpy as np
import scipy as sp
from scipy.sparse.linalg import spsolve
from scipy.sparse import lil_matrix
from element import RefElement, Element, Simplex
class Forms :
""" Formes varitionnelles"""
def __init__(self, a, b, c, q, d, beta):
"... | null | solve.py | solve.py | py | 4,083 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.dot",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "numpy.dot",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "numpy.dot",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "scipy.loadtxt",
"line_number": 61,
... |
299115672 | from django.urls import path
from mainapp.views import (
main, contacts, about
)
app_name = 'mainapp'
urlpatterns = [
path('contacts/', contacts, name='contacts'),
path('about/', about, name='about'),
path('', main, name='index'),
]
| null | server/mainapp/urls.py | urls.py | py | 252 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.urls.path",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "mainapp.views.contacts",
"line_number": 10,
"usage_type": "argument"
},
{
"api_name": "django.urls.path",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "mainapp.... |
262159560 | # -*- encoding: utf-8 -*-
from ..lb_task import LbTask
from lazyblacksmith.extension.celery_app import celery_app
from lazyblacksmith.extension.esipy import esiclient
from lazyblacksmith.extension.esipy.operations import get_characters_skills
from lazyblacksmith.models import Skill
from lazyblacksmith.models import Ta... | null | lazyblacksmith/tasks/character/skills.py | skills.py | py | 2,218 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "lazyblacksmith.models.User.query.get",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "lazyblacksmith.models.User.query",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "lazyblacksmith.models.User",
"line_number": 26,
"usage_type": ... |
231800076 | # coding: utf-8
import pytest
from tapioca_iugu.tapioca_iugu import IuguClientAdapter
def test_resource_access(api_client):
resource = api_client.customer_list()
assert resource.data == "https://api.iugu.com/v1/customers"
iterator_data = [
({}, {"totalItems": 730, "items": ["item"] * 100}, {"params": {... | null | tests/test_tapioca_iugu.py | test_tapioca_iugu.py | py | 853 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "tapioca_iugu.tapioca_iugu.IuguClientAdapter",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pytest.mark.parametrize",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_number": 19,
"usage_type": "attribute"
}
] |
574255471 | from influxdb import InfluxDBClient
from random import randint
import datetime
class Metrics(object):
def __init__(self):
self.client = InfluxDBClient('54.161.112.58', 8086, 'root', 'root', 'example')
self.client.create_database('example')
self.send_metrics()
def send_metrics(self):
... | null | metrics.py | metrics.py | py | 929 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "influxdb.InfluxDBClient",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "r... |
588607266 | """The runes Flask web application."""
import json
from flask import Flask, request, render_template, jsonify
import re
import os
from runes import getSequences, reduce, fold
app = Flask(__name__)
@app.route('/', methods=['GET','POST'])
def root():
if request.method=='GET':
return render_template('inde... | null | app.py | app.py | py | 1,238 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "flask.Flask",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "flask.render_temp... |
250105787 | import sys
import wx
import wx.html
import wx.lib.wxpTag
import __version__
#---------------------------------------------------------------------------
class MyHelpCVS(wx.Dialog):
text = '''
<html>
<body bgcolor="#dddaec">
<table bgcolor="#7a5ada" width="100%%" cellspacing="0"
cellpadding="0" border="1">
<tr>
... | null | HelpCVSDialog.py | HelpCVSDialog.py | py | 1,307 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "wx.Dialog",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "wx.Dialog.__init__",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "wx.Dialog",
"line_number": 39,
"usage_type": "attribute"
},
{
"api_name": "wx.html.HtmlWindow",... |
593316441 | """Initial authentication handlers (``/login``)."""
from __future__ import annotations
import base64
import os
from typing import TYPE_CHECKING, Optional
from fastapi import APIRouter, Depends, HTTPException, Query, status
from fastapi.responses import RedirectResponse
from httpx import HTTPError
from gafaelfawr.de... | null | src/gafaelfawr/handlers/login.py | login.py | py | 10,057 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "fastapi.APIRouter",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "typing.Optional",
"line_number": 48,
"usage_type": "name"
},
{
"api_name": "typing.Optiona... |
97251826 | import time
import numpy as np
import tensorflow as tf
import tensorflow.contrib as contrib
from PIL import Image
from scipy.io import loadmat
from imageio import imread, imwrite
from skimage.transform import resize
np.random.seed(1024)
HEIGHT = 360
WIDTH = 360
CHANNEL = 3
PATCH_SIZE = [1, 3, 3, 1]
MAX_ITER = 100
ME... | null | code/StyleSwap_W.py | StyleSwap_W.py | py | 8,694 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.random.seed",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "PIL.Image.fromarray",... |
639958671 |
import asyncore
import socket
import errno
import logging
from ..core import deferred
from ..comm import PDU
DEBUG = True
_logger = logging.getLogger(__name__)
__all__ = ['TCPClient']
CONNECT_TIMEOUT = 30.0
class TCPClient(asyncore.dispatcher):
"""
This class is a mapping between the client/server pattern... | null | bacpypes/transport/tcp_client.py | tcp_client.py | py | 6,503 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "asyncore.dispatcher",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "asyncore.dispatcher.__init__",
"line_number": 28,
"usage_type": "call"
},
{
"api_name"... |
437447831 | import datetime
from threading import Thread
import logging
import redis
class EventListener(Thread):
def __init__(self):
Thread.__init__(self)
self.__r = redis.Redis(charset="utf-8", decode_responses=True)
self.__events = []
def run(self):
pubsub = self.__r.pubsub()
... | null | lab3/Listener.py | Listener.py | py | 662 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "threading.Thread",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "threading.Thread.__init__",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "redis.Redi... |
206397758 | import discord
from discord.ext import commands as bot
import urllib
import urllib.request
import urllib.error
import json
import asyncio
import re
import random
import os
import aiohttp
import csv
def trunc_to(ln, s):
if len(s) <= ln: return s
else: return s[:ln-3] + "..."
def highlight(s, term, type='**'):
... | null | helpful.py | helpful.py | py | 9,528 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "re.sub",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "re.IGNORECASE",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "re.sub",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "re.IGNORECASE",
"line_number": 2... |
202090211 | import logging
import os
import sys
import time
import aiohttp_jinja2
import jinja2
from aiohttp import web
import ledfx_frontend
from ledfx.api import RestApi
try:
base_path = sys._MEIPASS
except BaseException:
base_path = os.path.abspath(".")
_LOGGER = logging.getLogger(__name__)
class HttpServer(object... | null | ledfx/http_manager.py | http_manager.py | py | 2,490 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys._MEIPASS",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
... |
502780999 |
"""
The Python standard library's 'calendar' module allows you to
render a calendar to your terminal.
https://docs.python.org/3.6/library/calendar.html
Write a program that accepts user input of the form
`14_cal.py [month] [year]`
and does the following:
- If the user doesn't specify any input, your program shoul... | null | src/14_cal.py | 14_cal.py | py | 3,024 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "datetime.datetime.today",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "calendar.month",
"line_number": 59,
"usage_type": "call"
}
] |
612097054 | from VideoGet import VideoGet
from imutils.object_detection import non_max_suppression
from imutils.video import FPS
import numpy as np
import pytesseract
import argparse
import imutils
import time
import cv2 as cv
ap = argparse.ArgumentParser()
ap.add_argument("-i", "--image", type=str, help='path to input image')
ap... | null | multithreading_video_recognition.py | multithreading_video_recognition.py | py | 3,566 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.cos",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "numpy.sin",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "cv2.dnn.readNet",
"li... |
644589274 | """
-A simple link simulator that emulates the transmission of packets from a
-sender A to a receiver B.
-
-"""
from collections import deque
received_packets = []
received_packets_atC = []
received_packets_atD = []
class Packet:
"""
This stores the information associated with a packet
"""
... | null | networkstype.py | networkstype.py | py | 8,690 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "collections.deque",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 45,
"usage_type": "call"
}
] |
561200121 | """
*******************************************************
* Copyright (C) 2017 MindsDB Inc. <copyright@mindsdb.com>
*
* This file is part of MindsDB Server.
*
* MindsDB Server can not be copied and/or distributed without the express
* permission of MindsDB Inc
**************************************************... | null | mindsdb/proxies/mysql/mysql_proxy.py | mysql_proxy.py | py | 6,349 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "socketserver.BaseRequestHandler",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "libs.helpers.logging.logging.info",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "libs.helpers.logging.logging",
"line_number": 47,
"usage_type": "n... |
600341298 | from flask import Flask, request,render_template, url_for ,redirect
#UPLAD_FLODER ='static/uploads'
app = Flask(__name__)
@app.route('/')
def hello():
return render_template('test.html')
@app.route('/test',methods=['GET', 'POST'])
def test():
return render_template('test.html')
@app.route('/first1',methods... | null | covid19_vaccine/main.py | main.py | py | 4,013 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask.render_te... |
196290852 | import os
import pandas as pd
import wget
LIFESAT_PATH = os.path.join("datasets", "lifesat", "")
DOWNLOAD_ROOT = "https://raw.githubusercontent.com/ageron/handson-ml2/master/"
LIFESAT_URL = DOWNLOAD_ROOT + "datasets/lifesat/"
FILE_NAMES = ("oecd_bli_2015.csv", "gdp_per_capita.csv")
def fetch_lifesat_data(lifesat_ur... | null | example1-1/util/dataset.py | dataset.py | py | 2,047 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.join",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 1... |
304746831 | import pygame
import os.path
from Cell import Cell
# Loading all images
bg = pygame.image.load(os.path.join('Pictures', 'BG.jpg'))
cross = pygame.image.load(os.path.join('Pictures', 'Cross.png'))
zero = pygame.image.load(os.path.join('Pictures', 'Zero.png'))
draw = pygame.image.load(os.path.join('Pictures', ... | null | Desk.py | Desk.py | py | 4,488 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pygame.image.load",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pygame.image",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.path.path.join",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path.path",
... |
360007670 | import numpy as np
import os
from scipy.interpolate import interp1d
import matplotlib.pyplot as plt
import nlp.nlp as nlp
import nlp.dynamics as dynamics
import nlp.cost_functions as cost_functions
import nlp.constraints as constraints
import nlp.measurements as measurements
import utils.gnss as gnss
import utils.utils... | null | autonomous-car.py | autonomous-car.py | py | 15,648 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "utils.vehicle_sim.vehicle_dynamics",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "utils.vehicle_sim",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "utils.vehicle_sim.linear_tire_model",
"line_number": 23,
"usage_type": "attribute"
... |
323064837 | import html as escaper
from typing import List
import matplotlib as mpl
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import seaborn as sns
from matplotlib import colors
from sklearn.metrics import confusion_matrix
from analyser.legal_docs import LegalDocument
from analyser.ml_tools import Pr... | null | colab_support/renderer.py | renderer.py | py | 13,632 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "analyser.structures.OrgStructuralLevel.BoardOfDirectors",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "analyser.structures.OrgStructuralLevel",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "analyser.structures.OrgStructuralLevel.Shareh... |
107657196 | #!/usr/bin/env python3
__version__ = "0.1.0"
import os
__location__ = os.path.realpath(
os.path.join(os.getcwd(), os.path.dirname(__file__)))
import sys
import json
import argparse
import importlib.resources
from dpterminal import printingloop
class appcaller():
def startfromscratch(self, config='confi... | null | dpterminal/dpterm.py | dpterm.py | py | 4,676 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.realpath",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": ... |
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