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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
603320762 | import yaml
from src.loop_list.loop_list import LoopList
CACHE_PATH = "resources/cache.yml"
CACHE_TEMPLATE_PATH = "resources/cache.yml.template"
class GystCache():
Inst = None
def __init__(self, *args, **kwargs):
if GystCache.Inst is not None:
return
cache_content = readCache()
... | null | src/gyst_cache/gyst_cache.py | gyst_cache.py | py | 1,788 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "src.loop_list.loop_list.LoopList.SafeLoad",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "src.loop_list.loop_list.LoopList",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "yaml.load",
"line_number": 56,
"usage_type": "call"
},
{
... |
616435004 | """
Base function for "stirring" a single word and a whole text.
"""
import random
from typing import List
import regex
def _process_word(word: str) -> str:
"""Randomize letter order in word leaving first and last letters in place.
Parameters
----------
word : str
Normal word
Returns
... | null | wordstirr/wordstirr.py | wordstirr.py | py | 1,116 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "random.shuffle",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 47,
"usage_type": "name"
},
{
"api_name": "regex.split",
"line_number": 49,
"usage_type": "call"
}
] |
288910478 | import cms
import sys
import os
import datetime
from datetime import timedelta
yest = datetime.date.today() - timedelta(1)
cms_call = cms.test()
def data_disk_util_status(path,filename):
with open(path + '\\df_h.txt', 'a+') as fw:
data_disk_space = cms_call.data_pars(path+'\\'+filename, '--df... | null | firstone/lcs_healthcheck.py | lcs_healthcheck.py | py | 2,538 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "datetime.date.today",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "datetime.timedelta",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cms.test",
... |
360411131 | from __future__ import print_function, unicode_literals
from PyInquirer import style_from_dict, Token, prompt
import stock_quote_data
import requests
import pandas
import csv
import os
auth_token = stock_quote_data.auth_token
def search_companies(company_name, token):
# extract answer string from dict returned b... | null | stock_quote_cli.py | stock_quote_cli.py | py | 5,084 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "stock_quote_data.auth_token",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "requests.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "requests.ConnectionError",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_na... |
289292462 | import twitter
import os
import text_analyzer
# get auth from Twitter
CONSUMER_KEY = os.environ.get('TWITTER_CONSUMER_KEY')
CONSUMER_SECRET = os.environ.get('TWITTER_CONSUMER_SECRET')
ACCESS_TOKEN = os.environ.get('TWITTER_ACCESS_TOKEN')
ACCESS_TOKEN_SECRET = os.environ.get('TWITTER_ACCESS_TOKEN_SECRET')
api = twitt... | null | data_grabber.py | data_grabber.py | py | 935 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.environ.get",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_num... |
228981801 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Dec 23 14:09:21 2020
@author: jacobfaibussowitsch
"""
import os
import requests
imDir = os.path.join("..", "_static", "images")
ownerURL = "https://gitlab.com/api/v4/groups/petsc/members/all"
integratorURL = "https://gitlab.com/api/v4/groups/5583565/m... | null | src/docs/sphinx_docs/genteamtable.py | genteamtable.py | py | 10,611 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.join",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 2... |
367921451 | from matplotlib import pyplot as plt
from matplotlib import pylab as pylab
#from skimage import data, img_as_float, img_as_ubyte, exposure, io, color
from skimage import *
import cv2
import numpy as np
def plothist(im, title=''):
im = img_as_ubyte(im)
pylab.hist(np.array(im).ravel(), bins=256, range=(0,256))
... | null | scripts/May/bottles.py | bottles.py | py | 1,327 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.pylab.hist",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "matplotlib.pylab",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "matplotlib.pylab.x... |
384020007 | # coding:utf-8
import sys
import json
from components.scroll_area import ScrollArea
from View.playlist_interface.playlist_info_bar import PlaylistInfoBar
from PyQt5.QtCore import Qt, pyqtSignal, QSize
from PyQt5.QtGui import QPixmap
from PyQt5.QtWidgets import QWidget, QListWidget, QListWidgetItem, QVBoxLayout, QAppli... | null | tests/test_collapsing_scroll_view.py | test_collapsing_scroll_view.py | py | 2,644 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "PyQt5.QtWidgets.QListWidget",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtCore.Qt.ScrollBarAlwaysOff",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtCore.Qt",
"line_number": 16,
"usage_type": "name"
},
{
... |
257476840 | import pickle as pkl
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
import os
os.environ['KMP_DUPLICATE_LIB_OK']='True'
def optim_plot(cur_code):
import FX_DATA_GEN as DG
cntry = DG.Get_country_name(cur_code)
path = './log/%s/CLXAMSGrad_LSTMClx_bs{32}_lr{1.0e-05}_eps{1.0e-03}_ech{40... | null | THEO_POULA_Plot.py | THEO_POULA_Plot.py | py | 7,891 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.environ",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "FX_DATA_GEN.Get_country_name",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pickle.load",... |
483541394 | #coding: utf-8
import sys
import checkin
import pyinotify
import utils
config = utils.Configuration.from_env()
mask = pyinotify.IN_CLOSE_WRITE
class EventHandler(pyinotify.ProcessEvent):
def process_IN_CLOSE_WRITE(self, event):
attempt = checkin.get_attempt(event.pathname)
utils.send_message... | null | balaio/monitor.py | monitor.py | py | 771 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "utils.Configuration.from_env",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "utils.Configuration",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "pyinotify.IN_CLOSE_WRITE",
"line_number": 12,
"usage_type": "attribute"
},
{
... |
243390417 | #_*_ encoding:utf-8 _*_
import requests
import pygal
from pygal.style import LightColorizedStyle as LCS, LightenStyle as LS
url="https://api.github.com/search/repositories?q=language:python&sort=stars"
r=requests.get(url)
print("Status code:", r.status_code)
#将API响应存储到一个文件中
response_dict=r.json()
print("Total reposit... | null | book/pygal/python_repos_pygal.py | python_repos_pygal.py | py | 1,617 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pygal.style.LightenStyle",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pygal.style.LightColorizedStyle",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "... |
442901067 | from scipy.io import loadmat
import numpy as np
import matplotlib.pyplot as plt
def LoadData():
# load two class with 100 examples :
# w1: (2, 100)
# w2: (2, 100)
a = loadmat('D:/w1x.mat')
b = loadmat('D:/w1y.mat')
c = loadmat('D:/w2x.mat')
d = loadmat('D:/w2y.mat')
x1 =... | null | FisherClassifer.py | FisherClassifer.py | py | 2,113 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "scipy.io.loadmat",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "scipy.io.loadmat",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "scipy.io.loadmat",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "scipy.io.loadmat",... |
107282640 | from __future__ import absolute_import
from __future__ import unicode_literals
from unittest import TestCase
import json
from six.moves.urllib.parse import urlparse
from os import environ as env
import httmock
from httmock import urlmatch
from evesrp import create_app, db, init_app
from evesrp.auth import AuthMethod
fr... | null | tests_python/util_tests.py | util_tests.py | py | 6,727 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "unittest.TestCase",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "os.environ.get",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "evesrp.create_app",
"... |
23523954 | #! python3
# This script finds and prints out Email addresses and North American phone numbers from the clipboard
import pyperclip, re # import the necessary modules - pyperclip and re - which will access the clipboard and compile regex pattern objects, respectively.
phoneRegex = re.compile(r'''( ... | null | phone number and email address extractor/extractor.py | extractor.py | py | 2,663 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "re.compile",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "re.VERBOSE",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "re.compile",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "re.VERBOSE",
"line_number": ... |
574846637 | from urllib.parse import quote_plus
from bs4 import BeautifulSoup
from selenium import webdriver
import time
import random
import dload
searchStr = input('찾을 이미지 이름을 입력하세요:')
baseUrl = 'https://search.daum.net/search?nil_suggest=btn&w=img&DA=SBC&q='
url = baseUrl + quote_plus(searchStr)
#print(url)
driv... | null | Python/WebCrawling/day4/day4/seleniumPart/snEx5.py | snEx5.py | py | 731 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "urllib.parse.quote_plus",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "... |
39676633 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import pygame # biblioteka pygame potrzebna do stworzenia gry
import random # biblioteka random potrzebna do losowej organizacji stones
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import ctypes
import pygame
import random
import sys
import math # klasa matemat... | null | Main.py | Main.py | py | 41,390 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pygame.image.load",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pygame.image",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "pygame.Surface",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pygame.transform.s... |
420261822 | import tensorflow as tf
from tensorflow.contrib import slim
from tensorflow.python.framework import ops
from utils import tf_layer
from utils import tf_utils
from utils import custom_layers
from utils import cfg_utils
def lrelu(inputs):
N, H, W, C = inputs.shape.as_list()
para_shape = [C]
alpha = slim.vari... | null | detection_for_voc/python/model/backbone/tpn_backbone.py | tpn_backbone.py | py | 11,635 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tensorflow.contrib.slim.variable",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "tensorflow.contrib.slim",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "tensorflow.constant_initializer",
"line_number": 13,
"usage_type": "call"
},
... |
329722647 | #!/usr/bin/python
# -*- coding: utf8 -*-
""" Взаимодействие с кнопками """
import random
import os
import datetime
from time import sleep
from itertools import islice
import requests
from telebot import apihelper
from bs4 import BeautifulSoup
from bs4 import BeautifulSoup as bs
import pickle
from config import bot... | null | plugins/callback.py | callback.py | py | 53,842 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "plugins.crocodile.crocodile.__annotations__",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_name": "plugins.crocodile.crocodile",
"line_number": 43,
"usage_type": "name"
},
{
"api_name": "plugins.crocodile.crocodile.__annotations__",
"line_number": 45,... |
315672309 | # -*- coding: utf-8 -*-
import numpy as np
import matplotlib.pyplot as plt
def sinussh(x):
k=0
a=x/2
s= a
while k < 500:
k+=1
R =x*x/(2*k*(2*k+1)*4)
a = a * R
s = s + a
return s
x = np.arange(-7.5,7.5,0.1)
y = sinussh(x)
plt.plot(x, y)
plt.show()
| null | PYTHON/sinhx_caur_summu_zimesana.py | sinhx_caur_summu_zimesana.py | py | 265 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.arange",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "matplotlib.pypl... |
291142490 | import requests as Req
url_padrao = "http://127.0.0.1:5000"
def TesteCreateTipoAtendimento(nome, preco, qtdRetorno):
url = url_padrao + "/tipo-atendimento/cadastrar"
tipoAtendimento = {
"nome" : nome,
"preco" : preco,
"qtdRetorno" : qtdRetorno
}
Dados = Req.api.post(url, js... | null | Teste/testeTipoAtendimento.py | testeTipoAtendimento.py | py | 1,153 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.api.post",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "requests.api",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "requests.api.get",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "requests.api",
... |
389684804 | """This is define model for projects app."""
from django.db import models
import uuid
import os
from django.conf import settings
# import third-party
from django_extensions.db.models import TimeStampedModel
from imagekit.models import ProcessedImageField
# import from apps
from apps.accounts.models import User
def... | null | apps/projects/models.py | models.py | py | 9,043 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "uuid.uuid4",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings.FILE_UPLOAD... |
386331195 | from functools import partial
from threading import Thread
from enum import IntEnum
from aspyrobotmx.codes import (HolderType, PortState, RobotStatus, DumbbellState,
SampleState, PortState)
from dcss import Server as DHS
SAMPLES_PER_POSITION = 96
HOLDER_TYPE_MAP = {
HolderType.unk... | null | pyrobotdhs/dhs.py | dhs.py | py | 27,144 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "aspyrobotmx.codes.HolderType.unknown",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "aspyrobotmx.codes.HolderType",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "aspyrobotmx.codes.HolderType.normal",
"line_number": 14,
"usage_ty... |
114261015 | import subprocess
import cv2
import numpy as np
from keras.models import load_model
windowName = "Live Camera Input" # window name
cv2.namedWindow(windowName, cv2.WINDOW_NORMAL)
model = load_model('Hand_Gesture_Recognize.h5')
gesture = {
0: "Left hand up",
1: "Hands down",
2: "Right ha... | null | __main__.py | __main__.py | py | 2,439 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cv2.namedWindow",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.WINDOW_NORMAL",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "keras.models.load_model",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.resi... |
627465730 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Basic example for a bot that uses inline keyboards.
# This program is dedicated to the public domain under the CC0 license.
import logging
from telegram import InlineKeyboardButton, InlineKeyboardMarkup, KeyboardButton, ReplyKeyboardMarkup
from telegram.ext import Upda... | null | inline.py | inline.py | py | 11,045 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.basicConfig",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "telegram.InlineKeyboardButton",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "t... |
205419030 | from django.shortcuts import render
# Create your views here.
from rest_framework import mixins, generics
from address.models import Address
from address.serializers import AddressSerializers
class AddressListView(mixins.ListModelMixin,
mixins.CreateModelMixin,
mixins.Upd... | null | address/views.py | views.py | py | 1,531 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "rest_framework.mixins.ListModelMixin",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.mixins",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "rest_framework.mixins.CreateModelMixin",
"line_number": 11,
"usage_type":... |
75751095 | from uuid import UUID
from furl import furl
from rest_framework import status
from rest_framework.reverse import reverse as drf_reverse
from . import BaseAPITestCase
class ArtistTests(BaseAPITestCase):
def setUp(self):
self.artist_name = "Pearl Jam"
self.artist_uuid = UUID("9e52205f-9927-4eff-b1... | null | grunge/tests/test_artists.py | test_artists.py | py | 1,277 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "uuid.UUID",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "rest_framework.reverse.reverse",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "rest_framework.status.HTTP_200_OK",
"line_number": 18,
"usage_type": "attribute"
},
{
"a... |
18998105 | #Enumerating Oriented Gene Orderings
#SIGN
"""Given: A positive integer n≤6.
Return: The total number of signed permutations of length n, followed by a list of all such permutations (you may list the signed permutations in any order)."""
from itertools import permutations
n = 5 #given
L = list(range(-n,n+1))
L.remo... | null | bio_stronghold/sign.py | sign.py | py | 671 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "itertools.permutations",
"line_number": 13,
"usage_type": "call"
}
] |
278265155 | from django import forms
from newUnit.choices import *
from newUnit.models import Rating, Review, Unit
class LowerCharField(forms.CharField):
"""Convert Charfield string to lowercase"""
def to_python(self, value):
return value.lower()
class UnitDetailsForm(forms.ModelForm):
faculty = forms.Choi... | null | newUnit/forms.py | forms.py | py | 1,796 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.forms.CharField",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.forms.ModelForm",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "dj... |
176910227 | from keras.optimizers import Adam, SGD, RMSprop
from keras.applications.inception_v3 import InceptionV3, preprocess_input
from keras.preprocessing import image
from keras.models import Model
from keras.layers import Flatten
from keras.layers import Dense, GlobalAveragePooling2D
from keras import backend as K
from keras... | null | week4/cnn_augm_hs.py | cnn_augm_hs.py | py | 5,822 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "keras.applications.inception_v3.InceptionV3",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "keras.layers.GlobalAveragePooling2D",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "keras.layers.Dense",
"line_number": 36,
"usage_type": "ca... |
298094595 | import pygame
from src.scene import Scene
class GameOverScene(Scene):
def __init__(self, game):
super().__init__(game)
# Game Over Title
self.font = pygame.font.Font("assets/font/Silver.ttf", 192)
self.title_image = self.font.render("T'as perdu, t'es nul.", False, (0, 0, 0))
... | null | src/scenes/gameover.py | gameover.py | py | 1,646 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "src.scene.Scene",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "pygame.font.Font",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pygame.font",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "pygame.image.load",
... |
597330358 | #!/usr/bin/env python3
"""
Author : seabney
Date : 2020-04-22
Purpose: Win in Vegas
"""
import argparse
import os
import re
import sys
from typing import List, NamedTuple, Optional
class State(NamedTuple):
player: str = 'Babbit'
runningcount: int = 0
quit: bool = False
error: Optional[str] = None
... | null | assignments/project/kyc.py | kyc.py | py | 3,696 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "typing.NamedTuple",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "argparse.ArgumentPa... |
124485209 | from braces.views import LoginRequiredMixin
from django.http import Http404
from django.shortcuts import redirect
from django.contrib.auth.mixins import LoginRequiredMixin, UserPassesTestMixin
from django.views import View
from django.views.generic import (
ListView, DetailView,
CreateView, UpdateView,
Tem... | null | articles/views.py | views.py | py | 3,966 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.views.generic.ListView",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "models.Article",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "models.Article.published.order_by",
"line_number": 33,
"usage_type": "call"
},
{
"ap... |
271912864 | from featureflow import Node, Feature, Decoder
from timeseries import \
ConstantRateTimeSeries, ConstantRateTimeSeriesMetadata
from samplerate import AudioSampleRate, audio_sample_rate
import numpy as np
from duration import Seconds
from soundfile import SoundFile
from io import BytesIO
class AudioSamples(Constan... | null | zounds/timeseries/audiosamples.py | audiosamples.py | py | 3,537 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "timeseries.ConstantRateTimeSeries",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "samplerate.AudioSampleRate",
"line_number": 13,
"usage_type": "argument"
},
{
"api_name": "timeseries.ConstantRateTimeSeries.__new__",
"line_number": 15,
"usage_ty... |
225609577 | import numpy as np
import matplotlib.pyplot as plt
import tsplib95
import plotTSP
def get_best_path(filename, tsp_name):
file = open(filename, "r")
lines = file.readlines()
file.close()
final_path_len = list()
path_lengths = [line.split("], [")[2] for line in lines]
for pl in p... | null | Implementation/plot_best_path.py | plot_best_path.py | py | 1,223 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.array",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "tsplib95.load",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "tsplib95.load",
"line_numbe... |
544981397 | from django.shortcuts import render, redirect, HttpResponse
from django.http import JsonResponse
import json
import datetime
from .models import *
from .utils import cookieCart, cartData, guestOrder
from django.contrib.auth.models import User
from store.forms import RegistrationForm, EditProfileForm, LoginForm
from d... | null | shop/store/views.py | views.py | py | 5,376 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "utils.cartData",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "utils.cartData",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "django.shortcut... |
108837321 | #coding:utf-8
"""
ID: gtcs.ref_integ_drop_pk_constraint
TITLE: Constraint of PRIMARY KEY should not be avail for DROP if there is FK that depends on it
DESCRIPTION:
Original test see in:
https://github.com/FirebirdSQL/fbtcs/blob/master/GTCS/tests/REF_INT.2.ISQL.script
FBTEST: functional.gtcs.re... | null | tests/functional/gtcs/test_ref_integ_drop_pk_constraint.py | test_ref_integ_drop_pk_constraint.py | py | 1,575 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.linesep.join",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "os.linesep",
"line_number": 51,
"usage_type": "attribute"
},
{
"api_name": "pytest.mark.version",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
... |
494541970 | from flask import Flask, render_template, request
import requests
import subprocess
from werkzeug.utils import secure_filename
import os, os.path
from poparse import get_file
app = Flask(__name__)
UPLOAD_FOLDER = "/data"
app.config["UPLOAD_FOLDER"] = UPLOAD_FOLDER
if not os.path.isdir("/data"): os.mkdir("/data")
@ap... | null | poparse/app.py | app.py | py | 755 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Flask",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path.isdir",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.mkdir",
"line_number": 1... |
555056213 | from checkers import game
import numpy as np
from functools import reduce
from math import ceil
import random
BOARD_SIZE = 8
HUMAN = 'human'
AGENT = 'agent'
class Gameplay(object):
@staticmethod
def calc_col(pos, row_width, row):
return (2*(pos - 1 - row*row_width)) + ((row+1) % 2)
@staticmetho... | null | python_applications/Q_checkers/utils/gameplay.py | gameplay.py | py | 8,376 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "math.ceil",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "functools.reduce",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number... |
524852486 | import psycopg2
from scrapy.utils.project import get_project_settings
from .helpers import list_to_string
settings = get_project_settings()
class NewsPipeline(object):
def open_spider(self, spider):
self.connection = psycopg2.connect(host=settings.get('DB_HOST'),
... | null | news_parser/pipelines.py | pipelines.py | py | 2,026 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "scrapy.utils.project.get_project_settings",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "psycopg2.connect",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "helpers.list_to_string",
"line_number": 45,
"usage_type": "call"
},
{
"... |
586239732 | from functools import cmp_to_key
def solution(numbers):
numbers = list(map(lambda x: str(x), numbers))
numbers = sorted(numbers, key=cmp_to_key(lambda a, b: -1 if a+b >= b+a else 1))
print(numbers)
answer = ''.join(numbers)
return str(int(answer))
numbers = [6, 10, 2]
answer = solution(numbers)
p... | null | Python/progrmmers/정렬_가장큰수.py | 정렬_가장큰수.py | py | 748 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "functools.cmp_to_key",
"line_number": 5,
"usage_type": "call"
}
] |
316210577 | from __future__ import absolute_import
from sklearn.datasets import make_moons
from sklearn.model_selection import train_test_split
from src.algorithms import *
from src import neural_network
import numpy as np
import matplotlib.pyplot as plt
from tqdm import tqdm
import argparse
def get_args():
"""
Read inp... | null | subsampled_DSGD/make_moon_classification.py | make_moon_classification.py | py | 2,963 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "sklearn.datasets.make_moons",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "sklearn... |
265224985 | """
@file
@brief Simple wrapper for `treant-js <http://fperucic.github.io/treant-js/>`_.
"""
_template_html = """
<style>
__STYLE__
</style>
<link rel="stylesheet" href="http://fperucic.github.io/treant-js/Treant.css">
<script src="http://fperucic.github.io/treant-js/vendor/raphael.js"></script>
<script src="http://f... | null | src/jupytalk/talk_examples/treant_wrapper.py | treant_wrapper.py | py | 1,794 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "IPython.core.display.HTML",
"line_number": 54,
"usage_type": "call"
}
] |
181388866 | #!/usr/bin/env python
# Script qui va chercher une adresse IP et
# envoie un courriel si l'adresse a change
# Jacques Faucher 2016-04-27
# socket : Pour la resolution de domaine
import socket
# smptlib et MIMEText pour le courriel
import smtplib
from email.mime.text import MIMEText
# Retourne l'IP a partir d'un URL... | null | vyos_auto.py | vyos_auto.py | py | 1,549 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "socket.gethostbyname",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "email.mime.text.MIMEText",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "smtplib.SMTP",
"line_number": 39,
"usage_type": "call"
}
] |
126511824 | import pygame
from TileClasses import *
from Member import *
orientations = {'nw': 5, 'no': 4, 'ne': 3, 'ea': 2, 'se': 1, 'so': 0, 'sw': 7, 'we': 6}
class CombatEntity:
def __init__(self, entity, coord, weapon):
""" Gère le soldat au combat """
# On vérifie les paramètres
if type(coord) !... | null | CombatEntity.py | CombatEntity.py | py | 9,896 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pygame.Rect",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "pygame.Rect",
"line_number": 222,
"usage_type": "call"
}
] |
469835717 | # coding=utf-8
'''
DATE: 2020/09/01
AUTHOR: Yanxi Li
'''
# P37-38
from flask import Flask, jsonify, request
import json
class XFFMiddleware:
def __init__(self, app, real_ip='1.1.1.1'):
# 1.1.1.1 is a invalid ip, set it just for debug
self.app = app
self.real_ip = real_ip
def __call_... | null | microservices/flask_middleware.py | flask_middleware.py | py | 1,032 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Flask",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "flask.request.headers",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "flask.request.he... |
26137484 | from rest_framework import viewsets, generics
from rest_framework.filters import DjangoFilterBackend
from django_filters import FilterSet
from .models import NewsPost, ArchivePost
from .serializers import NewsSerializer, ArchiveSerializer
class NewsFilter(FilterSet):
class Meta:
model = NewsPost
... | null | apps/news/views.py | views.py | py | 1,134 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django_filters.FilterSet",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "models.NewsPost",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "rest_framework.viewsets.ReadOnlyModelViewSet",
"line_number": 17,
"usage_type": "attribute"
},
... |
125644832 | from __future__ import print_function
import sys, os.path, glob, json
import cv2, numpy as np
import caffe
from fast_rcnn.config import cfg
from fast_rcnn.test import im_detect
from fast_rcnn.nms_wrapper import nms
gpu_id = int(sys.argv[1])
vgg16_net = 'models/rcnn/vgg16_faster_rcnn_iter_80000.caffemodel'
prototxt = ... | null | scripts/face_extraction.py | face_extraction.py | py | 3,560 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.argv",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "fast_rcnn.config.cfg.GPU_ID",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "fast_rcnn.config.cfg",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "fa... |
387827687 | # aln_stats has functions
# Should raise warning when there are empty comparisons
# should avoid capitalizing sequences
#------------------------------------------------------------
import sys, os, re
import pandas as pd
from itertools import combinations
from utils import get_file_paths_from_dir, substring_delim, cds... | null | 200423_aln_stats/get_aln_stats_from_aln_dir.py | get_aln_stats_from_aln_dir.py | py | 6,082 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.isfile",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "utils.cds_to_dict",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "utils.map_dict_vals",
... |
389204456 | # -*- coding: utf-8 -*-
import unittest
from datetime import datetime
from unittest.mock import call
from uuid import uuid4, UUID
from mock import patch, MagicMock
from alamo_worker.alerter.backend.cassandra import (
CassandraDriver, SELECT_QUERY, INSERT_QUERY, INSERT_SERVICE_QUERY,
AsyncCassandraDriver
)
fro... | null | alamo_worker/alerter/tests/test_cassandra_backend.py | test_cassandra_backend.py | py | 4,102 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "unittest.TestCase",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "uuid.uuid4",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "uuid.uuid4",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "mock.MagicMock",
"li... |
521237780 | # Copyright (C) 2019 Google Inc.
# Licensed under http://www.apache.org/licenses/LICENSE-2.0 <see LICENSE file>
"""Object mapper modal."""
from lib import base
from lib.page.modal import search_modal_elements
class ObjectMapper(base.WithBrowser):
"""Object mapper modal."""
# pylint: disable=too-few-public-methods... | null | test/selenium/src/lib/page/modal/object_mapper.py | object_mapper.py | py | 850 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "lib.base.WithBrowser",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "lib.base",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "lib.page.modal.search_modal_elements.SearchFilterArea",
"line_number": 15,
"usage_type": "call"
},
{... |
171583397 | # -*- coding: utf-8 -*-
from django.contrib.contenttypes.models import ContentType
from django.contrib.contenttypes.fields import GenericForeignKey, GenericRelation
from django.urls import reverse, NoReverseMatch
from django.core.cache import cache
from django.utils.translation import ugettext_lazy as _
from django.db ... | null | catalog/models.py | models.py | py | 4,165 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "mptt.models.MPTTModel",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "django.utils.translation.ugettext_lazy",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "django.utils.translation.ugettext_lazy",
"line_number": 19,
"usage_type": "c... |
398533225 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
@Author: Yue Wang
@Contact: yuewangx@mit.edu
@File: model.py
@Time: 2018/10/13 6:35 PM
"""
import os
import sys
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
def knn(x, k):
inner = -2*torch.matmul(x.transpose(2, 1), x)
... | null | dgcnn_pytorch/model.py | model.py | py | 5,188 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.matmul",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "torch.sum",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "torch.device",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "torch.cat",
"line_number": 34... |
595177174 | import django_tables2 as django_tables
from utilizadores.models import Administrador, Utilizador
from django.utils.html import format_html
from django.urls import reverse
class UtilizadoresTable(django_tables.Table):
nome = django_tables.Column(
empty_values=(), order_by=("first_name", "last_name"))
... | null | src/Utilizadores/tables_old.py | tables_old.py | py | 6,910 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django_tables2.Table",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django_tables2.Column",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django_tables2.Column",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "d... |
212768269 | import sys
import numpy as np
from time import sleep
from timeit import default_timer as timer
from SLSE import SLSE
from utils.link_funcs import PolynLink, LogisticLink, LogexpLink
from utils.data_gen import gen_slcnr_obj
# n_samples_range = [50000, 100000, 150000, 200000, 250000, 300000]
n_samples_range = [100000, 2... | null | SLSE-develop/exp_aaai20_synthesized.py | exp_aaai20_synthesized.py | py | 9,749 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "utils.link_funcs.PolynLink",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "utils.link_funcs.PolynLink",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "utils.link_funcs.PolynLink",
"line_number": 19,
"usage_type": "call"
},
{
"... |
372219420 | import scrapy
class QuotesSpider(scrapy.Spider):
name = "quotes"
def start_requests(self):
urls = [
'http://quotes.toscrape.com/page/1/',
'http://quotes.toscrape.com/page/2/',
]
for url in urls:
yield scrapy.Request(url=url, callback=self.... | null | klse/klse/spiders/quotes_spider.py | quotes_spider.py | py | 741 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "scrapy.Spider",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "scrapy.Request",
"line_number": 12,
"usage_type": "call"
}
] |
61763015 | import glob
import os
import pathlib
import sys
import numpy as np
sys.path.append('../../../')
from util import env, make_dirs
dataset = 'scannet'
param ='-o 0.7 -d 0.01 -t 1000 -n 200'
def main():
data_path = env()
PATH_MODEL='%s/processed_dataset/{}/{}/' % data_path
PATH_RELATIVE = '%s/relative_pose/... | null | src/relative_pose_estimation/super4pcs/generate_tasks.py | generate_tasks.py | py | 1,761 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.path.append",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "util.env",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path.normpath",
"line_num... |
146716833 | import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
# Perform confusion matrix statistical tests on the output summary.csv
# Output the file to peakerror/confusion/confusion.csv
f = snakemake.input
o = snakemake.output
df = pd.DataFrame.from_csv(f, sep="\t") # Convert the csv to a DataFrame
df["... | null | dm6/wrappers/confusion/wrapper.py | wrapper.py | py | 1,396 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.DataFrame.from_csv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "pandas.DataFrame.to_csv",
"line_number": 25,
"usage_type": "call"
},
{
"api_name"... |
337026814 | __author__ = 'linmichaelj'
import urllib2
import helper
from bs4 import BeautifulSoup
from selenium import webdriver
#requires html5lib
def get_soup(url, selenium):
if selenium:
driver = webdriver.Firefox()
driver.get(url)
data = driver.page_source
else:
usock = urllib2.urlope... | null | webparser.py | webparser.py | py | 4,999 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "selenium.webdriver.Firefox",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "urllib2.urlopen",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "bs4.Bea... |
227793255 | #%%
import numpy as np
import sys
import os
import matplotlib.pyplot as plt
import datetime
tstart = datetime.datetime.now()
seed = sys.argv[1]
seed = float(seed)
seed = int(seed)
target = sys.argv[2]
target = float(target)
target = int(target)
np.random.seed(seed)
print(seed)
# PARAMETERS
# --------------------... | null | figS1/code/place_cells.py | place_cells.py | py | 10,457 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "datetime.datetime.now",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
... |
532493382 | from datetime import datetime
from os import scandir
def convert_date(timestamp):
d = datetime.utcfromtimestamp(timestamp)
formated_date = d.strftime('%d %b %Y')
return formated_date
def get_files():
dir_entries = scandir('/')
for entry in dir_entries:
if entry.is_file():
... | null | examples/file/convertutc.py | convertutc.py | py | 446 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "datetime.datetime.utcfromtimestamp",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "os.scandir",
"line_number": 10,
"usage_type": "call"
}
] |
565332913 | #!/usr/bin/env python
import pytz
from datetime import time
from tasklib.task import Task
LOCALTZ = pytz.timezone('America/Los_Angeles') # Your timezone
DEFAULT_TIME = time(20,0,0) # Your wanted default time
def is_local_midnight(timestamp):
return timestamp.astimezone(LOCALTZ).time() == time(0,0,0)
def set_de... | null | task/hooks/on-add-default-time.py | on-add-default-time.py | py | 765 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pytz.timezone",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "datetime.time",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "datetime.time",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "tasklib.task.Task.from_input"... |
228478820 | #!/usr/bin/env python3
from argparse import ArgumentParser
import parsedatetime
import time
cal = parsedatetime.Calendar()
def maybe_one_string(args):
dt, parsed = cal.parse(' '.join(args))
if parsed:
return dt
return None
def main(fmt, datestrs):
dt = maybe_one_string(datestrs)
if dt:
... | null | bin/dateparse.py | dateparse.py | py | 806 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "parsedatetime.Calendar",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "time.strftime",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "time.strftime",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentPa... |
182061425 | from http.server import BaseHTTPRequestHandler, HTTPServer
import time
import urllib.parse
import pytz
from datetime import datetime
hostName = "localhost"
serverPort = 8000
class Server(BaseHTTPRequestHandler):
def do_GET(self):
if self.path.startswith('/city/'):
self.get_city_info()
... | null | script.py | script.py | py | 7,845 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "http.server.BaseHTTPRequestHandler",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "urllib.parse.parse.unquote",
"line_number": 107,
"usage_type": "call"
},
{
"api_name": "urllib.parse.parse",
"line_number": 107,
"usage_type": "attribute"
},
... |
466695800 |
from ..kern import WEBKernel
from gp_grief.models import BaseModel
# numpy/scipy stuff
import numpy as np
# development stuff
from logging import getLogger
from warnings import warn
logger = getLogger(__name__)
class GPwebTransformedModel (BaseModel):
"""
GP with weighted basis function kernel (WEB) with... | null | gp_grief/models/gp_web_transformed_model.py | gp_web_transformed_model.py | py | 4,786 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "gp_grief.models.BaseModel",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "numpy.linalg.svd",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "numpy.li... |
620269851 | """Provide different loss or metrics classes for labels."""
from typing import List, Optional
import tensorflow as tf
from deepreg.loss.util import NegativeLossMixin, cauchy_kernel1d
from deepreg.loss.util import gaussian_kernel1d_sigma as gaussian_kernel1d
from deepreg.loss.util import separable_filter
from deepreg... | null | deepreg/loss/label.py | label.py | py | 12,472 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tensorflow.keras.backend.epsilon",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.keras",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_... |
620009657 | import tensorflow as tf
from tensorflow.python import keras
import networkx as nx
class WeightedSum(keras.layers.Layer):
def __init__(self, kernel_regularizer=None, **kwargs):
self.kernel_regularizer = kernel_regularizer
self.aggregate_w = None
super(WeightedSum, self).__init__(**kwargs)
... | null | randnet/model/layers.py | layers.py | py | 9,846 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tensorflow.python.keras.layers",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.python.keras",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "tensorflow.TensorShape",
"line_number": 19,
"usage_type": "call"
},
{
"... |
563205148 |
from pygame.locals import *
from personnage import *
from map import *
title = "The Labyrinth"
image_icone = "image/Labyrinthe.jpg"
image_intro = "image/Labyrinthe.jpg"
map_path = "Map/Map1.txt"
pygame.mixer.init(44100, -16, 2, 2048)
pygame.init()
nb_case = 25
case_width = 30
window = pygame.display.set_mode((nb_c... | null | labyrinthe.py | labyrinthe.py | py | 1,269 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pygame.locals.mixer.init",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pygame.locals.mixer",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "pygame.locals",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "pygam... |
495778098 | # -*- coding: UTF-8 -*-
#!/usr/bin/python3
"""
@Author Yi Zhu
Upated 31/05/2018
The code is borrowed from
https://github.com/Adoni/word2vec_pytorch/
https://github.com/ray1007/pytorch-word2vec/
"""
#************************************************************
# Imported Libraries
#**********************************... | null | code/w2v/mul_word2vec.py | mul_word2vec.py | py | 3,458 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.path.append",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.seed",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"l... |
372155343 | from __future__ import absolute_import
import os
import uuid
try:
import six.moves.urllib.parse
except ImportError:
from urllib.parse import urlparse
import logging
from functools import wraps
from django.conf import settings
from django.core import exceptions
from django.http import HttpResponsePermanentRedi... | null | tikibar/utils.py | utils.py | py | 9,658 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.conf.settings.TIKIBAR_SETTINGS.get",
"line_number": 79,
"usage_type": "call"
},
{
"api_name": "django.conf.settings.TIKIBAR_SETTINGS",
"line_number": 79,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings",
"line_number": 79,
"usage_typ... |
525387754 | # coding:utf-8
from django.conf.urls import patterns, include, url
from .views import list_artists, save_artist, list_albuns, list_songs, index, remove_artist
urlpatterns = patterns('',
# Artist
url(r'^artists/save/(\d+)', save_artist, name='save_artist'),
url(r'^artists/remove/(\d+)', remove_artist, name='remov... | null | catalogo/catalogo/music/urls.py | urls.py | py | 568 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.conf.urls.patterns",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "views.save_artist",
"line_number": 10,
"usage_type": "argument"
},
{
"api_name": "d... |
22604167 | import matplotlib.pyplot as plt
import sys,os,csv,argparse
def plotPercNUsr(fileusr1,fileusr2,fileusr3,fileusr4,fileout):
#remove header
fileusr1.readline()
fileusr2.readline()
fileusr3.readline()
fileusr4.readline()
lusr1 = list(csv.reader(fileusr1,delimiter=','))
lusr2 = list(csv.reader... | null | version_20160401.dir/study_period_2_weeks_1_week_ovlerap.dir/catvectors/plotNbUsrsPercentagesOneCat.py | plotNbUsrsPercentagesOneCat.py | py | 3,178 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "csv.reader",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 15,
... |
50717543 | """
This module defines the CustomQueryPredictiveObject class that allows wrapping of
one or many GraphLab Create data structures and additional functionality within a
predictive object, which can be deployed into a Predictive Service.
"""
import logging
import types as _types
from _predictive_object import Predictive... | null | ML_coursera/graphlab/lib/python2.7/site-packages/graphlab/deploy/_predictive_service/_custom_query_predictive_object.py | _custom_query_predictive_object.py | py | 3,247 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "_predictive_object.PredictiveObject",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "logging.info",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "types.F... |
30934520 | import oauth2 as oauth
import utils
from api import Api
from user_api_queryset import UserApiQueryset
class UserApi(Api):
'''Api abstraction specific to a given user, using his tokens
'''
URL_ENDPOINT = {
'people': '/v1/people',
'people_search': '/v1/people-search',
'groups': '/v... | null | pylinkedin/user_api.py | user_api.py | py | 2,516 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "api.Api",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "api.Api.__init__",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "api.Api",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "oauth2.Token",
"line_number": 26,... |
48257803 |
"""Application container - manages a list of available tasks to execute (all imported)
"""
import os
import sys
from datetime import datetime
from typing import Dict, List, Union, Tuple
from importlib.machinery import SourceFileLoader
from traceback import print_exc
from rkd import env
from .api.syntax import TaskDe... | null | rkd/context.py | context.py | py | 10,859 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.dirname",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "api.contract.ContextInt... |
333079426 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
]
operations = [
migrations.CreateModel(
name='Ticket',
fields=[
('id', models.AutoField(verbo... | null | railwaydescapp/migrations/0001_initial.py | 0001_initial.py | py | 1,455 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.CreateModel",
"line_number": 13,
"usage_type": "call"
},
... |
135226767 | # Trainer for Total3D.
# author: ynie
# date: Feb, 2020
from models.training import BaseTrainer
import torch
import numpy as np
import os
from net_utils import visualization as vis
from net_utils.ap_helper import parse_predictions, parse_groundtruths
import imageio
GT_VOTE_FACTOR = 3 # number of GT votes per point
cla... | null | models/iscnet/training.py | training.py | py | 9,259 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "models.training.BaseTrainer",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "torch.no_grad",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "net_utils.ap_he... |
138749501 | #!/usr/bin/python
# -*- coding: UTF-8 -*-
# **********************************************************
# * Author : Weibin Meng
# * Email : m_weibin@163.com
# * Create time : 2018-10-07 22:58
# * Last modified : 2018-10-16 01:26
# * Filename : train_lstm.py
# * Description :
'''
'''
# *********... | null | train_lstm.py | train_lstm.py | py | 4,576 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.reshape",
"line_number": 96,
"usage_type": "call"
},
{
"api_name": "numpy.reshape",
"line_number": 97,
"usage_type": "call"
},
{
"api_name": "keras.utils.np_utils.to_categorical",
"line_number": 101,
"usage_type": "call"
},
{
"api_name": "kera... |
491605128 | from numpy import array
from keras.models import Sequential
from keras.layers import Dense, LSTM, SimpleRNN
from keras.callbacks import EarlyStopping
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import MinMaxScaler
from sklearn.preprocessing import StandardScaler
early = EarlyStopping... | null | keras/keras30_simpleRNN2_scale.py | keras30_simpleRNN2_scale.py | py | 2,463 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "keras.callbacks.EarlyStopping",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.MinMaxScaler",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.StandardScaler",
"line_number": 10,
"usage_type": "c... |
579559758 | #!/usr/bin/python
# #!/usr/bin/python3
import argparse
from datetime import datetime
from inputs import kwargs
import logging
import os
import psycopg2
import requests
import sys
class Hubspot:
'''Hubspot class that takes in Hubspot URL and has
methods that retrieve/store data'''
# set up a logfile for t... | null | hubspot.py | hubspot.py | py | 10,133 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.basicConfig",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "inputs.kwargs",
"line_number": 27,
"usage_type": "argument"
},
{
"api_name": "inputs.kwarg... |
80291883 | import pygame, sys , os, src.level_rendering.wall_block
from src.level_rendering.wall_block import wall_block
class Player():
def __init__(self):
pygame.init()
self.next_move = pygame.time.get_ticks() + 100 # 100ms = 0.1s (janky stuff to throttle player movement)
real_path = os.pa... | null | src/player/Player.py | Player.py | py | 5,842 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pygame.init",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pygame.time.get_ticks",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pygame.time",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
... |
95895829 | import hashlib
import math
import operator
from decimal import Decimal
from vyper import ast as vy_ast
from vyper.ast.validation import validate_call_args
from vyper.context.types.abstract import (
ArrayValueAbstractType,
BytesAbstractType,
IntegerAbstractType,
NumericAbstractType,
)
from vyper.context... | null | vyper/functions/functions.py | functions.py | py | 58,365 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "vyper.ast.validation.validate_call_args",
"line_number": 83,
"usage_type": "call"
},
{
"api_name": "vyper.context.validation.utils.validate_expected_type",
"line_number": 85,
"usage_type": "call"
},
{
"api_name": "vyper.context.types.value.numeric.DecimalDefinition... |
46518724 |
import numpy as np
import matplotlib.pylab as plt
from matplotlib.animation import FuncAnimation
from matplotlib.colors import ListedColormap
from matplotlib.colors import BoundaryNorm
from copy import copy
from time import time
def sigmoid(x):
return 1/(1 + np.exp(-x))
# Chaque cellule de l'automate contient un o... | null | LearningTest/automata.py | automata.py | py | 4,932 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.exp",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplotlib.colors.ListedColormap",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "matplotlib.colors.BoundaryNorm",
"line_number": 24,
"usage_type": "call"
},
{
"api_nam... |
113296606 | from datetime import datetime
from journeychurch.config import acs
import requests
class ACSConnection:
"""
ACS Connection class to use ACS Facility Scheduler REST API
https://wiki.acstechnologies.com/display/DevCom/ACS+Facility+Scheduler+REST+API
"""
# ACS Facility Scheduler Site ID
site_id ... | null | utils/acs/acs_connection.py | acs_connection.py | py | 3,929 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "journeychurch.config.acs",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "journeychurch.config.acs",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "journeychurch.config.acs",
"line_number": 22,
"usage_type": "name"
},
{
"api_na... |
380826254 | import time
from functools import wraps
from reconcile.status import RunningState
from reconcile.utils.metrics import reconcile_time
def elapsed_seconds_from_commit_metric(function):
@wraps(function)
def wrapper(*args, **kwargs):
runing_state = RunningState()
result = function(*args, **kwar... | null | reconcile/utils/qrtracking.py | qrtracking.py | py | 672 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "reconcile.status.RunningState",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "reconcile.utils.metrics.reconcile_time.labels",
"line_number": 20,
"usage_type": "call"
},
{
... |
457689074 | import re
from html2text import html2text
from pprint import pprint
class ParserBase(object):
"""
Parent class with common code for all flavors of Botocore parser
"""
def __init__(self, service, client_name):
self.client_name = client_name
self.service = service
self.code = ""... | null | codegen/parserbase.py | parserbase.py | py | 5,810 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "html2text.html2text",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 161,
... |
109413908 | from django.conf import settings
from django.urls import include, path
from django.conf.urls.static import static
from django.contrib import admin
from django.views import defaults as default_views
from tienda.users.views import (Indice,ListaProducto,DetalleProducto,
ComentarioProducto,I... | null | config/urls.py | urls.py | py | 2,918 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.urls.path",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "tienda.users.views.Indice.as_view",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "tienda.users.views.Indice",
"line_number": 17,
"usage_type": "name"
},
{
"api_... |
66582235 | import networkx as nx
import matplotlib.pyplot as plt
import logging
from logging import handlers
import sys
filename = "D:/PythonProjects/learnpytorch/vertices.txt"
f = open(filename)
lines = f.readlines()
vertices = []
edges = []
edges_list = []
for line in lines:
if ':' in str(line):
edge = str(line).rep... | null | python_script_scp3.py | python_script_scp3.py | py | 1,818 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "networkx.Graph",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "networkx.connected_components",
"line_number": 31,
"usage_type": "call"
}
] |
485855115 | import numpy as np
import cv2
import os
def search(dirname):
filenames = os.listdir(dirname)
print('\n---------- npy lists ----------')
cnt = 0
for filename in filenames:
full_filename = os.path.join(dirname, filename)
ext = os.path.splitext(full_filename)[-1]
if ext == '.npy... | null | np_test.py | np_test.py | py | 1,015 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.listdir",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.path.splitext",
"line_numb... |
568495813 | import pytest
from api.models import CartItem
from api.utils.models import save_to_db
from ..model_factories.cart_item_factory import CartItemFactory
@pytest.fixture
def _cart_item(db, book, cart, customer, user):
save_to_db(db, user)
customer.user_id = user.id
save_to_db(db, customer)
cart.custome... | null | tests/model_tests/test_cart_item.py | test_cart_item.py | py | 793 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "api.utils.models.save_to_db",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "api.utils.models.save_to_db",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "api.utils.models.save_to_db",
"line_number": 16,
"usage_type": "call"
},
{
... |
635008096 | #!/usr/bin/env python
import logging
import tornado.web
import tornado.gen
import tornado.escape
import tornado.ioloop
import tornado.httpserver
from tornado.concurrent import Future
from tornado.options import define, options, parse_command_line
from tornado.log import app_log
from sqlalchemy import create_engine
f... | null | python/tornado/helloworld.py | helloworld.py | py | 1,713 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.basicConfig",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "sqlalchemy.c... |
60794830 | from django.shortcuts import render, get_object_or_404, redirect
from django.utils import timezone
from .models import Post, Comment
from .form import PostForm, CommentForm
from django.contrib.auth.decorators import login_required
from django.contrib.auth.forms import UserCreationForm
from django.contrib.auth import au... | null | mysite/blog/views.py | views.py | py | 3,446 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "models.Post.objects.all",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "models.Post.objects",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "models.Post",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.u... |
558019855 | import os
from setuptools import setup
root = os.path.abspath(os.path.dirname(__file__))
with open(os.path.join(root, 'README.txt')) as f:
README = f.read()
setup(
name = "multipserve",
version = "1.0.4",
author = "Mario Idival",
author_email = "marioidival@gmail.com",
description = ("Scrip... | null | setup.py | setup.py | py | 852 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.abspath",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_nu... |
204855400 | import numpy as np
import cv2
from utils import load_model
def hsv_filter(frame):
# hasv color space
frame = cv2.GaussianBlur(frame,(5,5),30)
hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
# define range of blue color in HSV
lower_skin = np.array([0,18,36], dtype=np.uint8)
upper_skin = np.array(... | null | 11-ClassificationProject/test.py | test.py | py | 3,182 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cv2.GaussianBlur",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2HSV",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"... |
288097477 | #!/usr/bin/python
"""
Small and simple example of parsing large xml files using SAX parsing in
Python.
"""
import os
import sys
import logging
import resource
from lxml import etree
from docopt import docopt
from faker import Factory
FAKE = Factory.create()
LOG = logging.getLogger(__name__)
XML_ENABLED_CLASSES = ... | null | metaclasses/metaclass_example.py | metaclass_example.py | py | 5,341 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "faker.Factory.create",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "faker.Factory",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "logging.getLogger",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "lxml.etree.Eleme... |
608372956 | import socket
import sys
import json
from sys import argv
import time
import os
from collections import namedtuple
import threading
import pickle
Interface = namedtuple("Interface", "Interface_num IP port distance")
number = 0
class router:
localhost = '127.0.0.1'
interface = [] # holds the table
neighb... | null | router.py | router.py | py | 6,780 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.namedtuple",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "socket.socket",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "socket.SOCK_... |
480864918 | from MSGG.pro_SG_pre import SG_pre
from MSGG.SGraph import VocabLabel,Vocab
from MSGG.datautils import read_pickle,load_SGraph
import torch.nn as nn
import torch
filename='pdb_full'
task='regression'
label_std = 1.7216773344326362
label_mean = 6.243830971659918
data_root= 'data/' + filename + '/'
model_root... | null | eva_model_pdb.py | eva_model_pdb.py | py | 1,419 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "MSGG.SGraph.Vocab",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "MSGG.datautils.read_pickle",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "MSGG.SGraph.VocabLabel",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "M... |
564306931 | import enum
import json
import logging
import operator
import os
import pathlib
import pickle
import pprint
import random
import shutil
import traceback
import typing
import copy
import pandas as pd # type: ignore
from d3m.base import utils as d3m_utils
from d3m.container.dataset import Dataset, D3MDatasetLoader
from ... | null | python/dsbox/controller/controller.py | controller.py | py | 86,245 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "enum.Enum",
"line_number": 42,
"usage_type": "attribute"
},
{
"api_name": "dsbox.controller.config.DsboxConfig",
"line_number": 61,
"usage_type": "name"
},
{
"api_name": "dsbox.schema.SpecializedProblem.NONE",
"line_number": 69,
"usage_type": "attribute"
... |
599736061 | import pygame
import Ship
class PygView(object):
def __init__(self, width=640, height=200, fps=60):
"""Initialize pygame, window, background, font,...
"""
pygame.init()
pygame.display.set_caption("Press ESC to quit")
self.width = width
self.height = height
#... | null | test.py | test.py | py | 3,086 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pygame.init",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_caption",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "pygame.disp... |
313318375 | from typing import ClassVar, List, Optional, cast
from cuenca_validations.types.enums import WebhookEvent
from cuenca_validations.types.requests import (
EndpointRequest,
EndpointUpdateRequest,
)
from pydantic import HttpUrl
from pydantic.dataclasses import dataclass
from ..http import Session, session as glo... | null | cuenca/resources/endpoints.py | endpoints.py | py | 1,978 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "base.Creatable",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "base.Deactivable",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "base.Retrievable",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "base.Queryable",
... |
31611525 | from django import forms
from django.forms import widgets
from django.core.exceptions import NON_FIELD_ERRORS,ValidationError
from .models import *
class RegisterForm(forms.Form):
user = forms.CharField(min_length=5,
help_text="6~16个字符，区分大小写",
error_messages={... | null | mainfu/mytitle/Diy/forms.py | forms.py | py | 2,262 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.forms.Form",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.forms.CharField",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.forms"... |
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