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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
291405753 | from django.core.management.base import BaseCommand
from django_uwsgi import uwsgi
class Command(BaseCommand):
help = "Reloads uWSGI application of the project."
def handle(self, *args, **options):
if uwsgi is not None and uwsgi.masterpid() > 0:
uwsgi.reload()
print('uWSGI re... | null | django_uwsgi/management/commands/reload_uwsgi.py | reload_uwsgi.py | py | 404 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django_uwsgi.uwsgi",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django_uwsgi.uwsgi.masterpid",
"line_number": 10,
"usage_type": "call"
},
{... |
96771397 | import requests
import json
"""
Load an image from the web to be analyzed
Params: URL of the image
Returns: JSON file with the image analysis
"""
def loadImage(img_url):
# put your keys in the header
headers = {
"app_id": "28cffa81",
"app_key": "a53c47109871936d7d22221e9099ddb0"... | null | detect.py | detect.py | py | 2,244 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.post",
"line_number": 21,
"usage_type": "call"
}
] |
250876064 | import logging
import os
def _to_bool(v):
return str(v).lower()[:1] in ("t", "y", "1")
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
HTTP_PORT = 8000
BASE_HTTP_URL = f"http://192.168.5.50:{HTTP_PORT}/"
PUB_DIR = os.path.join(BASE_DIR, "pub")
GPHOTO_PATH = "gphoto2"
FOCUSER_IP = "192.... | null | telescopy/settings.py | settings.py | py | 1,047 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.dirname",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_nu... |
603010251 | # -*- coding: utf-8 -*-
"""
Created on Tue Apr 28 13:51:36 2020
@author: singh
"""
#%%
from tensorflow.keras.preprocessing.image import ImageDataGenerator
from tensorflow.keras import optimizers
import matplotlib.pyplot as plt
import tensorflow as tf
from keras.callbacks import EarlyStopping, ModelChe... | null | Disease_Detection_Coconut_PLantation_Transfer_Learning/NasNetMobile_imagenet.py | NasNetMobile_imagenet.py | py | 7,306 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "keras.callbacks.EarlyStopping",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "keras.callbacks.ModelCheckpoint",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.applications.NASNetMobile",
"line_number": 32,
"usage_type... |
623382316 | from datetime import timedelta
from django.db import models
from django.contrib.auth.models import AbstractUser
from django.utils.timezone import now
class ShopUser(AbstractUser):
avatar = models.ImageField(
upload_to='users_avatars',
blank=True
)
age = models.PositiveIntegerField(
... | null | djangoshop/authapp/models.py | models.py | py | 706 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.contrib.auth.models.AbstractUser",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.db.models.ImageField",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.db.models",
"line_number": 9,
"usage_type": "name"
},
{
... |
175017327 | import yaml
def test_yaml():
corpid = 'wwb183614ea47a13fc'
corpsecret = 'cyd6sQ5dXTgKy3-RNg6iSv0jM8pdhLb7jYHCj_WlLQM'
req = {
"method": "get",
"url": "https://qyapi.weixin.qq.com/cgi-bin/gettoken",
"params": {
"corpid": corpid,
"corpsecret": corpsecret
... | null | test_request/test_yaml.py | test_yaml.py | py | 416 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "yaml.safe_dump",
"line_number": 17,
"usage_type": "call"
}
] |
618111213 | # coding=utf-8
import json
import sys
import os
from time import sleep, time
from subprocess import getstatusoutput
import pexpect
import requests
from common import settings
from common.api_requests import AlaudaRequest
from common.exceptions import ResponseError, ParseResponseError
from common.loadfile import FileUti... | null | base_request.py | base_request.py | py | 13,955 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "common.api_requests.AlaudaRequest",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "common.loadfile.FileUtils.load_file",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "common.loadfile.FileUtils",
"line_number": 19,
"usage_type": "name"... |
204557347 | from MVP.UserModule import UserModule
from Modules.Design import Ui_MainWindow
from Modules.Entities import User
from PyQt5 import QtWidgets, QtCore
class UserView(QtWidgets.QMainWindow):
def __init__(self, module: UserModule):
super(UserView, self).__init__()
self.module = module
s... | null | MVP/UserView.py | UserView.py | py | 2,713 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "PyQt5.QtWidgets.QMainWindow",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtWidgets",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "MVP.UserModule.UserModule",
"line_number": 9,
"usage_type": "name"
},
{
"api_name"... |
281560558 | # -*- coding: utf-8 -*-
from django.shortcuts import render
from django.contrib.auth.decorators import login_required
from django.urls import reverse
from django.http import HttpResponse,HttpResponseRedirect
from django.views.decorators.csrf import csrf_exempt
from django.db.models import F
from .permit import Authent... | null | powerbankWeb/powerbank/apps/vueapi/views/inst.py | inst.py | py | 6,682 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "users.models.institutions.objects.get",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "users.models.institutions.objects",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "users.models.institutions",
"line_number": 22,
"usage_type":... |
301325720 | import psycopg2 as psy
conexion = psy.connect(dbname="world", user="postgres", password="cachi1234") # se crea la conexión
cursor = conexion.cursor() # se crea un cursor
poblacionArgentina = "SELECT population FROM country where name = 'Argentina'"
cursor.execute(poblacionArgentina)
print('Poblacion argentina: ' + st... | null | TP 3/ejercicio2.py | ejercicio2.py | py | 3,828 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "psycopg2.connect",
"line_number": 3,
"usage_type": "call"
}
] |
576442558 | # -*- coding: utf-8 -*-
"""
Created on Mon Jun 29 14:14:45 2020
@author: Nikki
"""
import numpy as np
import cv2
import transform as tform
import sys
import math
import scipy.spatial
import markers
###---------------------------------------------------------------------------
# Allows video to be initialized usin... | null | pixel_gps.py | pixel_gps.py | py | 12,867 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "markers.mrb3_markers",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "markers.aot_1_markers",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "markers.aot_2_markers",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "mark... |
297931026 | # -*- coding:utf-8 -*-
from django.shortcuts import render, HttpResponseRedirect
from .models import ExtractedMusicList, MusicStorage
from .forms import UploadForm
from extractor.main import extraction
from django.core.paginator import EmptyPage, PageNotAnInteger, Paginator
from django.shortcuts import render
def i... | null | highlight/views.py | views.py | py | 1,831 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.shortcuts.render",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "forms.UploadForm",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.HttpResponseRedirect",
"line_number": 21,
"usage_type": "call"
},
{
"ap... |
256316329 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import weakref
"""
Some Garbage Collector tips
http://asvetlov.blogspot.ru/2013_05_01_archive.html
https://tech.yandex.ru/events/yagosti/19-july-2014/talks/2075/
Do not override (rewrite) __del__ method! GC don't collect it (GC is not very smart).
__del__ is not C++ dest... | null | core/gc_tips.py | gc_tips.py | py | 1,865 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "gc.set_debug",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "gc.DEBUG_SAVEALL",
"line_number": 53,
"usage_type": "attribute"
},
{
"api_name": "gc.collect",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "inspect.isclass",
"... |
536099313 | """
Example of using a decorator but for caching on a slow remote processing
# check documentation, python3 has one like this called LRU cache, python2 we have to do it ourselves.
#
# You will spend more time using decorators than writing them, this shows how to define/use them.
# look @ numba.pydata.org
@jit is all... | null | intermediate_python_2014_11_17/course_days/day2/decorators/example_decorator_cached.py | example_decorator_cached.py | py | 1,523 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "functools.wraps",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 41,
"usage_type": "call"
}
] |
248026451 | from typing import TypeVar, Any, Dict
class MessageBase:
def __init__(self, msg_type: str, agent_name: str):
self.msg_type = msg_type
self.agent_name = agent_name
@classmethod
def from_json(cls, message_json):
return cls(**message_json)
def to_json(self) -> dict:
ret... | null | core/transport/messages.py | messages.py | py | 2,779 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "typing.TypeVar",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "typing.Dict",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number"... |
16318117 | #!/usr/bin/env python
#
# Copyright 2007 Google Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law o... | null | are-you-pretty/main.py | main.py | py | 1,445 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "webapp2.RequestHandler",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "logging.info",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "webapp2.RequestHandler",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "... |
51960280 | '''
This file deals with taking constituent sentence vectors and building a single feature vector based on the sentence vectors.
This can be done in multiple ways:
1. average all the sentence vectors
2. build bag of words from k-means cluster assignments of each sentence (e.g., 400 clusters -> ... | null | feature_engineering/analysis/vectorization_and_clustering/essay_vectorization.py | essay_vectorization.py | py | 9,010 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "csv.reader",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 64,... |
648472688 | #!/usr/bin/env python
# coding: utf-8
# ## Importing all necessery packages
# In[1]:
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torch.utils.data.dataloader import DataLoader
from itertools import product
import time
from collections import ... | null | kiperwasser dependency parser/generated_comp_tagged.py | generated_comp_tagged.py | py | 17,084 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "collections.defaultdict",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "torch.utils.data.dataset.Dataset",
"line_number": 115,
"usage_type": "name"
},
{
... |
383452529 | # -*- coding: utf-8 -*-
"""
A class that extends metaEventProcessing to implement the step response algorithm from :cite:`Balijepalli:2014`
:Created: 4/18/2013
:Author: Arvind Balijepalli <arvind.balijepalli@nist.gov>
:License: See LICENSE.TXT
:ChangeLog:
.. line-block::
06/28/16 AB Upgrade lmfit to > 0.9 ... | null | mosaic/process/adept2State.py | adept2State.py | py | 11,328 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "mosaic.utilities.util.avg",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "mosaic.utilities.util",
"line_number": 50,
"usage_type": "name"
},
{
"api_name": "mosaic.utilities.util.sd",
"line_number": 51,
"usage_type": "call"
},
{
"api_name... |
652239729 | import subprocess
import os
import shutil
import serial
import re
import numpy as np
import tensorflow as tf
import tensorflow.compat.v1.keras.backend as K
#add your target hardware properties here
device_list = ["NUCLEO_F746ZG","NUCLEO_L476RG", "NUCLEO_F446RE", "ARCH_MAX", "Esense"]
arenaSize_list = [np.array([10,30,... | null | examples/THIN-Bayes/Activity Recognition/hardware_utils.py | hardware_utils.py | py | 8,611 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.array",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": ... |
393278089 | #!/usr/bin/env python
import sys
import os
import semanticnet as sn
import networkx as nx
def calculate_degree_map(igraph):
degree_map = dict()
edges = igraph.get_edges()
for eid in edges.keys():
src = edges[eid]["src"]
dst = edges[eid]["dst"]
if src not in degree_map:
... | null | extract.py | extract.py | py | 6,548 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "semanticnet.DiGraph",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 141,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 142,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"lin... |
616046043 | import requests
from bs4 import BeautifulSoup
detail_url = 'http://www.jisudhw.com/?m=vod-detail-id-15409.html'
r = requests.get(url = detail_url)
r.encoding = 'utf-8'
detail_bf = BeautifulSoup(r.text, 'lxml')
num = 1
search_res = {}
for each_url in detail_bf.find_all('input'):
if 'm3u8' in each_url.get('value'):
... | null | video/解析详情页.py | 解析详情页.py | py | 503 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 7,
"usage_type": "call"
}
] |
361411070 | import wx
from collections import OrderedDict
class FileDropTarget(wx.FileDropTarget):
def __init__(self, main):
wx.FileDropTarget.__init__(self)
self.main = main
def OnDropFiles(self, x, y, filenames):
for file in filenames:
if hasattr(self.main, 'onRead'):
... | null | lib/wxlib/filechecklist.py | filechecklist.py | py | 3,288 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "wx.FileDropTarget",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "wx.FileDropTarget.__init__",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "wx.FileDropTarget",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": ... |
184814388 | from gocardless_pro.resources import Event
from .exceptions import UnsupportedEventError, UnsupportedLinksError
from .signals import * # NOQA
from .utils import model_from_links
class EventHandler(object):
ACTIONS = {
'mandates': {
'created': mandate_created,
'submitted': mandat... | null | lunchbreak/django_gocardless/handlers.py | handlers.py | py | 2,712 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "gocardless_pro.resources.Event",
"line_number": 51,
"usage_type": "argument"
},
{
"api_name": "exceptions.UnsupportedEventError",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "exceptions.UnsupportedEventError",
"line_number": 64,
"usage_type": "... |
401961108 | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
"""
@File : MailInfo.py
@Contact : riseidr@hotmail.com
@License : (C)Copyright 2020
@Modify Time @Author @Version @Desciption
------------ ------- -------- -----------
2020-3-7 12:01 risseidr 1.0 None
"""
from selenium.webdrive... | null | MailInfo.py | MailInfo.py | py | 1,912 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "datetime.datetime.strptime",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.remote.webelement.WebElement",
"line_number": 25,
"usage_type": "name"
... |
544777138 | from pytube import YouTube
import json
from urllib import request
import ffmpeg
import pylivestream
import sys
from pathlib import Path
import pylivestream as pls
import pytest
from pytest import approx
import subprocess
import os
import pyfakewebcam
yt = YouTube
audio = video = YouTube.streams
audio_name = video_name... | null | main.py | main.py | py | 4,545 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pytube.YouTube",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "pytube.YouTube.streams",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "pytube.YouTube",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "pathlib.Pat... |
192773165 | import pytz
from faker import Faker
from django.db import models
from django.conf import settings
from django.shortcuts import get_object_or_404
from django.contrib.auth import get_user_model
from django.utils import timezone
class Board(models.Model):
name = models.CharField(max_length=100)
url_name = model... | null | community/models.py | models.py | py | 2,717 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.db.models.Model",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 12,
"usage_type": "call"
},
{
"api_name"... |
564281472 | """This module will test the views"""
from django.test import TestCase, Client
from django.urls import reverse
from django.contrib.auth.models import User
from app.models import Product
class Viewstests(TestCase):
"""
This class test all the views
As most of the methods of the views are contained in app/... | null | app/tests/tests_views.py | tests_views.py | py | 3,423 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.test.TestCase",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.contrib.auth.models.User.objects.create",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.models.User.objects",
"line_number": 21,
"usage_ty... |
331226166 | import pytest
import os
import sys
from Classes.stickysettings import StickySettings as ss
def create_filename():
"""Create filename to use in testing"""
file_exists = True
n = 0
testfile = ''
while file_exists:
n += 1
testfile = os.path.join(os.getenv('APPDATA'), 'xyz... | null | Classes/test_stickysettings.py | test_stickysettings.py | py | 1,967 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.join",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.getenv",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number":... |
335932894 | import caffe
import glog
import sys
import random
import numpy as np
import h5py
import json
from proto_utils import proto_to_np
import os.path as osp
from transformer import Xformer
from multiprocessing import Pool
from threading import Thread
from IPython.core.debugger import Tracer
class MultiInputDataLayer(caffe.L... | null | python/layers/multi_input_data.py | multi_input_data.py | py | 7,742 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "caffe.Layer",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "json.loads",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Pool",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "glog.info",
"lin... |
646514475 | # Original Author : https://www.cnblogs.com/laizhenghong2012/p/11348004.html
# Adjusted by Kirigaya, including exposure of API and structure adjustment
import os
import sys
import fire
import prettytable as pt
# collection of suffix of python, cpp and java
CPP_SUFFIX_SET : set = {'.h', '.hpp', '.hxx', '.c', '.cpp'... | null | count.py | count.py | py | 2,840 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.listdir",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "os.path.isfile",
"line_numbe... |
143262389 | import pandas as pd
import numpy as np
import sklearn
from sklearn import linear_model
from sklearn.utils import shuffle
import matplotlib.pyplot as pyplot
from matplotlib import style
import pickle
data = pd.read_csv("student-mat.csv", sep=";")
# print(data.head())
data = data[["G1", "G2", "G3", "studytime", "fai... | null | LinearRegression/regression.py | regression.py | py | 1,869 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.read_csv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train... |
397427336 | # -*- coding: utf-8 -*-
"""
statusbar_basic
revision 0.2 2015/nov mlabru
pep8 style conventions
revision 0.1 2014/nov mlabru
initial release (Linux/Python)
"""
# < imports >--------------------------------------------------------------------------------------
# pyQt library
from PyQt5 import Qt, QtWidgets
from P... | null | view/common/statusbar_basic.py | statusbar_basic.py | py | 8,426 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "PyQt5.QtWidgets.QStatusBar",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtWidgets",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtCore.Qt",
"line_number": 46,
"usage_type": "attribute"
},
{
"api_name": "... |
356862130 | # -*- coding: utf-8 -*-
# Define here the models for your spider middleware
#
# See documentation in:
# https://doc.scrapy.org/en/latest/topics/spider-middleware.html
from scrapy import signals
import requests
from .models import ProxyModel
from time import sleep
import threading
class ProxyDownloaderMiddleware(obj... | null | 猎聘网无限制爬取/liepinwang/liepinwang/middlewares.py | middlewares.py | py | 2,272 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "threading.Lock",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "models.ProxyModel",
... |
508750990 | #Created on Fri Feb 19 21:42:08 2021
#@author: Thomas Gaudin
import matplotlib.pyplot as plt
import numpy as np
def alpha_function(alpha):
ang = alpha / 206625
return ang
alph_max = alpha_function(0.01)
alph_min = alpha_function(0.0005)
def diameter(dist, angle):
RS = 2.254610e-8
d = (dist / angle) ... | null | CHARA_plot.py | CHARA_plot.py | py | 791 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.vectorize",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "matplotlib.pypl... |
493631057 | # Faz o cadastrado de novos usarios no banco de dados SQLite
# helpthx
''''
Capture infos about users. There r five filds, ID, nome, matricula, ru and acessos.
==> Each user will have a unique numeric integer ID linked with a SQLite3 database call Banco_de_dados.db
==> Each ID has a name, matricula, amount of cr... | null | 3_Trabalho/Arquivos/01_cadastro.py | 01_cadastro.py | py | 982 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sqlite3.connect",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 33,
"usage_type": "call"
}
] |
525361061 | import os
import logging.handlers
logger = logging.getLogger('mail.deliver')
handler = logging.handlers.SysLogHandler(
'/dev/log', facility=logging.handlers.SysLogHandler.LOG_LOCAL6)
handler.setFormatter(
logging.Formatter('%%(filename)s[%d]: %%(levelname)s: %%(message)s' % os.getpid()))
logger.addHandler(handl... | null | test_python/test_logging2.py | test_logging2.py | py | 508 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.handlers.getLogger",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "logging.handlers",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "logging.handlers.handlers.SysLogHandler",
"line_number": 4,
"usage_type": "call"
},
{
"... |
368430746 | from art import logo, vs
from game_data import data
import random
import os
END_GAME = False
user_count = 0
def random_question(data_with_info, questions):
global END_GAME
if len(questions) == len(data):
END_GAME = True
return END_GAME
random_question_from_data = random.choice(data_with_info)
... | null | main.py | main.py | py | 2,231 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "game_data.data",
"line_number": 13,
"usage_type": "argument"
},
{
"api_name": "random.choice",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "art.logo",
"line_n... |
339380926 | import xlrd
import pymysql
# import importlib
# importlib.reload(sys) #出现呢reload错误使用
def open_excel():
try:
book = xlrd.open_workbook("国内生产总值指数1978.xlsx") # 文件名，把文件与py文件放在同一目录下
except:
print("open excel file failed!")
try:
sheet = book.sheet_by_name("Sheet1") # execl里面的workshee... | null | scriptFiles/economicScriptFiles/excel-mysql-gdp-index-year.py | excel-mysql-gdp-index-year.py | py | 2,698 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "xlrd.open_workbook",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pymysql.connect",
"line_number": 67,
"usage_type": "call"
}
] |
487189009 | #!/usr/bin/env python
import requests
import json
import tinymongo as tm
import tinydb
# Bug: https://github.com/schapman1974/tinymongo/issues/58
class TinyMongoClient(tm.TinyMongoClient):
@property
def _storage(self):
return tinydb.storages.JSONStorage
db_name = 'practica'
def clear():
conn =... | null | practica.py | practica.py | py | 1,471 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "tinymongo.TinyMongoClient",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "tinydb.storages",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "requests.get",
"line_number": 30,
"usage_type": "call"
}
] |
139014762 | from django.utils import timezone
import itertools
import requests
from mnm.taskapp import celery
from celery.utils.log import get_task_logger
from mnm.releases.models import Release
from . import parsers
from . import countries
from . import models
from . import influxdb_client
logger = get_task_logger(__name__)
... | null | mnm/instances/tasks.py | tasks.py | py | 4,074 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "celery.utils.log.get_task_logger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "itertools.islice",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "itertools.chain",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "mnm... |
529391060 | from flask import request, redirect, Flask, send_from_directory, abort, jsonify, render_template
import joblib
import matplotlib.pyplot as plt
import matplotlib
matplotlib.use('Agg')
import seaborn as sb
# from sklearn.linear_model import LogisticRegression
import io
import base64
app = Flask(__name__)
@app.route('/... | null | flaskLoan.py | flaskLoan.py | py | 2,037 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "matplotlib.use",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "flask.request.method"... |
443733153 | # extract_gps.py
# Gets lat, lon, and alt from Parrot Sequoia exif tags
# Based on https://gist.github.com/erans/983821
from PIL import Image
from PIL.ExifTags import TAGS, GPSTAGS
def get_exif_data(image):
"""Returns a dictionary from the exif data of an PIL Image item. Also converts the GPS Tags"""
exif_dat... | null | extract_gps.py | extract_gps.py | py | 2,748 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "PIL.ExifTags.TAGS.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "PIL.ExifTags.TAGS",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "PIL.ExifTags.GPSTAGS.get",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "PIL.... |
187581182 | # Copyright 2016 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style
# license that can be found in the LICENSE file or at
# https://developers.google.com/open-source/licenses/bsd
"""Unittests for monorail.search.backendnonviewable."""
from __future__ import print_function
f... | null | appengine/monorail/search/test/backendnonviewable_test.py | backendnonviewable_test.py | py | 6,273 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "unittest.TestCase",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "services.service_manager.Services",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "services.service_manager",
"line_number": 27,
"usage_type": "name"
},
{
... |
5744219 | #! /usr/bin/env python3
"""
A one-sample t test answers these questions:
Is the average of a sample different from a specified value?
Is the average of a sample less than a specified value?
Is the average of a sample greater than a specified value?
What is the range of values that is likely to include the population a... | null | one_sample_t.py | one_sample_t.py | py | 4,874 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pathlib.Path",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "time.perf_counter",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "datasense.html_begin",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "datasense.script_... |
191065783 | import pickle
import os
import numpy as np
from torch.utils.data import DataLoader
from grover.data import MolCollator
from grover.util.utils import create_logger, load_checkpoint, get_data
def generate_embeddings(args, logger):
if not os.path.exists(args.output_path):
os.mkdir(args.output_path)
ch... | null | task/embedding.py | embedding.py | py | 2,120 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.exists",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.mkdir",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "grover.util.utils.create_logger"... |
39974788 | import sys
import os
import matplotlib.pyplot as plt
import numpy as np
import spectra
from numpy.polynomial import polynomial as P
from scipy.integrate import simps
DRAW_TH = False
def simple_integrate(x, y, dx, dy):
errorsq = 0
area = 0
for i, (v) in enumerate(zip(x, y)):
print(x[i], dx[i], y[i... | null | analysis/draw.py | draw.py | py | 4,376 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.sqrt",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "spectra.list_clean",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "spectra.loads_clean",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.p... |
100860384 | import math
import typing
from ..._detail import PolicyCouplerBase
from ..._impl import CalcMrcaUncertaintyAbsUpperBoundWorstCase
from .._PolicySpec import PolicySpec
from .._impl import calc_common_ratio
class CalcMrcaUncertaintyAbsUpperBound:
"""Functor to provide member function implementation in Policy class... | null | hstrat/stratum_retention_strategy/stratum_retention_algorithms/geom_seq_nth_root_algo/_invar/_CalcMrcaUncertaintyAbsUpperBound.py | _CalcMrcaUncertaintyAbsUpperBound.py | py | 3,166 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "typing.Optional",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "_PolicySpec.PolicySpec",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "_detail.P... |
75699703 | from django import forms
from django.contrib.auth import get_user_model
from mailjet_rest import Client
import os
class ContactForm(forms.Form):
title = forms.CharField()
message = forms.CharField(widget=forms.Textarea)
def send_email(self):
User = get_user_model()
mailing_list = User.obj... | null | newsletter/forms.py | forms.py | py | 1,332 | python | en | code | null | code-starcoder2 | 66 | [
{
"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"... |
603269033 | # As Commander Lambda's personal assistant, you've been assigned the task of configuring the LAMBCHOP doomsday device's axial orientation gears. It should be pretty simple - just add gears to create the appropriate rotation ratio. But the problem is, due to the layout of the LAMBCHOP and the complicated system of beams... | null | level2_1.py | level2_1.py | py | 3,319 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "fractions.Fraction",
"line_number": 20,
"usage_type": "call"
}
] |
257751991 | # %% Importing
import numpy as np
import matplotlib.pyplot as plt
import mne
# %% Reading Raw Eximia
for i in range(1,16):
raw = mne.io.read_raw_eximia(f"C:\\Users\\bruno\\Documents\\NNCLab\\Data\\ct_AS2\\AS_ct_NaturalFrequencies_20100302_110735_{i}.nxe")
# %% Raw to info
print(raw.info)
info = dict(raw.info)
# ... | null | tests.py | tests.py | py | 4,739 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "mne.io.read_raw_eximia",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "mne.io",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "numpy.mean",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.percentile",
"l... |
9244669 | # vim: tabstop=4 shiftwidth=4 softtabstop=4
# Copyright 2012 United States Government as represented by the
# Administrator of the National Aeronautics and Space Administration.
# All Rights Reserved.
#
# Copyright 2012 Nebula, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# no... | null | horizon/openstack_dashboard/dashboards/compute/instances/views.py | views.py | py | 26,247 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "horizon.tables.DataTableView",
"line_number": 55,
"usage_type": "attribute"
},
{
"api_name": "horizon.tables",
"line_number": 55,
"usage_type": "name"
},
{
"api_name": "openstack_dashboard.dashboards.compute.instances.tables.InstancesTable",
"line_number": 56,
... |
618063295 | import itertools
import json
import numpy as np
import torch
from pyramid_nested_ner.data.dataset import PyramidNerDataset
from pyramid_nested_ner.model import PyramidNer
from pyramid_nested_ner.training.optim import get_default_sgd_optim
from pyramid_nested_ner.training.trainer import PyramidNerTrainer
from pyramid_... | null | test_script.py | test_script.py | py | 5,805 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torch.cuda.is_available",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "json.loads",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "itertools.islice",... |
71075082 | """
pyexcel.sources.file_source_output
~~~~~~~~~~~~~~~~~~~
Representation of output file sources
:copyright: (c) 2015-2016 by Onni Software Ltd.
:license: New BSD License
"""
import pyexcel.renderers as renderers
from pyexcel.sources.factory import FileSource
from pyexcel.sources import params
c... | null | pyexcel/sources/file_source_output.py | file_source_output.py | py | 2,656 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pyexcel.sources.factory.FileSource",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "pyexcel.renderers.get_all_file_types",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pyexcel.renderers",
"line_number": 19,
"usage_type": "name"
},
... |
127563307 | """
The pymbar package contains the pymbar suite of tools for the analysis of
simulated and experimental data with the multistate Bennett acceptance
ratio (MBAR) estimator.
"""
from distutils.core import setup
from setuptools import setup, Extension
import numpy
import os
import subprocess
import six
################... | null | setup.py | setup.py | py | 5,204 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.environ.get",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "subprocess.Popen",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "subprocess.PIPE",
... |
375681631 | import discord
import json
import os
from discord.ext import commands
from datetime import datetime
import asyncio
import random
import math
import enum
bot = commands.Bot(command_prefix=commands.when_mentioned_or('a!'), case_insensitive=True, owner_id=275328804770021376)
os.chdir(r'C:\Users\Uncle03\Desktop\U... | null | UncleBot.py | UncleBot.py | py | 106,882 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "discord.ext.commands.Bot",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "discord.ext.commands",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "discord.ext.commands.when_mentioned_or",
"line_number": 10,
"usage_type": "call"
},
{
... |
404014665 | from __future__ import unicode_literals
from prompt_toolkit.buffer import Buffer
from prompt_toolkit.application.current import get_app
class ModalBuffer(Buffer):
last_working_index = -1
def _change_prompt_mode(self, index, redraw=True):
if index < len(self.history.modes):
app = get_app()... | null | rice/modalbuffer.py | modalbuffer.py | py | 2,624 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "prompt_toolkit.buffer.Buffer",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "prompt_toolkit.application.current.get_app",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "prompt_toolkit.application.current.get_app",
"line_number": 62,
"u... |
542081021 | # # Alternating Least Squares
#
# This is an example implementation of ALS for learning how to use Spark.
# Please refer to
# [this example](https://github.com/apache/spark/blob/master/examples/src/main/python/ml/als_example.py) # for more conventional use.
#
# This example requires [NumPy](http://www.numpy.org/)
fr... | null | als.py | als.py | py | 1,987 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.random.seed",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "numpy.sqrt",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_... |
581530952 | import json
import requests
def get_ngrok_url():
url = "http://localhost:4040/api/tunnels"
res = requests.get(url)
res_unicode = res.content.decode("utf-8")
res_json = json.loads(res_unicode)
return res_json["tunnels"][0]["public_url"]
| null | ngrok/ngrok.py | ngrok.py | py | 258 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 9,
"usage_type": "call"
}
] |
301302455 | import os
import numpy as np
from keras.applications.vgg16 import VGG16
from keras.applications.vgg16 import preprocess_input as preprocess_input_vgg
from keras.preprocessing import image
from numpy import linalg as LA
from common.const import input_shape
import time
# 读取图片路径
def get_imlist(path):
return [os.pat... | null | vggnet.py | vggnet.py | py | 3,327 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.join",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "keras.applications.vgg16.VGG16",... |
22592623 | import json
import random
import time
from Deck import *
from Card import *
from tkinter import *
class CardButton(Button):
__mainText=""
__subText=""
def __init__(self, master=None, **kargs):
super().__init__( master, kargs)
self.__cardObj=None
if('card' in kargs):
self.... | null | 1학기/programming/basic/파이썬/teamProject/mytest/localGame/Player.py | Player.py | py | 12,412 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "Card.Levels",
"line_number": 146,
"usage_type": "call"
},
{
"api_name": "Deck.getEmptyDeck",
"line_number": 224,
"usage_type": "call"
},
{
"api_name": "Deck.getEmptyDeck",
"line_number": 269,
"usage_type": "call"
},
{
"api_name": "json.loads",
"... |
375689977 | from __future__ import unicode_literals
from pydoc import deque
from threading import Thread
from Queue import Queue
import gc
import time
from traceback import print_exc
from django.db import connection
from py4j.java_gateway import JavaGateway
from codebase.models import CodeElementKind, CodeElement, MethodElement,\
... | null | recodoc2/apps/codebase/parser/java_code_parser.py | java_code_parser.py | py | 18,523 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "threading.Thread",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "threading.Thread.__init__",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "codebase.... |
174258230 | # -*- coding: utf-8 -*-
#
# Copyright 2019 Google LLC
#
# 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... | null | datalabeling/google/cloud/datalabeling_v1beta1/gapic/enums.py | enums.py | py | 6,365 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "enum.IntEnum",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "enum.IntEnum",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "enum.IntEnum",
"line_number": 48,
"usage_type": "attribute"
},
{
"api_name": "enum.IntEnum",
... |
572797321 | # A configuration file for the fileprocess. We could do a .ini, but everybody
# knows python here
import logging
import os
from logging import handlers
config = {
'port': 48260,
'S3.accesskey': '17G635SNK33G1Y7NZ2R2',
'S3.secret': 'PHDzFig4NYRJoKKW/FerfhojljL+sbNyYB9bEpHs',
'S3.music_bucket': 'music.r... | null | fileprocess/fileprocess/configuration.py | configuration.py | py | 2,469 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.environ.get",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 46,
"usage_type": "attribute"
},
{
"api_name": "logging.INFO",
"line_number": 60,
"usage_type": "attribute"
},
{
"api_name": "logging.StreamHandle... |
420041049 | import collections
import itertools
import string
import json
import random
import re
import nltk
from nltk.corpus import stopwords
stop = stopwords.words('english')
from nltk.corpus import wordnet
from nltk.corpus import wordnet as wn
filename = "new.txt"
contractions = {
"aren't": "are not",
"can't": "cannot",
"ca... | null | add pharsesV2.py | add pharsesV2.py | py | 15,314 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "nltk.corpus.stopwords.words",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.stopwords",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "string.ascii_lowercase",
"line_number": 162,
"usage_type": "attribute"
},
{
"api_... |
257833923 | # -*- coding: cp1251 -*-
from django import forms
from django.http import HttpResponse, Http404
from django.shortcuts import render
from django_ajax.decorators import ajax
from .models import Cocktail, Recipe, Storage, Order
class FileUploadForm(forms.Form):
file_source = forms.FileField()
@ajax
def cocktails(... | null | cocktail_master/views.py | views.py | py | 1,595 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.forms.Form",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.forms.FileField",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.for... |
640484222 | import numpy as np
from scipy.interpolate import interp2d
def resize_smalltolarge(im1, deltapix1, new_dim, deltapix2):
"""
Function resizes a small image to match the dimesions of a larger image with a different pixel size
Args:
im1 (numpy.ndarray): data for smaller image
deltap... | null | build/lib/astrodesim/resize_smalltolarge.py | resize_smalltolarge.py | py | 2,522 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.pad",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "scipy.interpolate.interp2d",
... |
382434210 | from flask import Flask, request
from flask_restful import Resource, Api, reqparse
from flask_jwt import JWT, jwt_required
from security import authenticate, identity
#Define our resource
class Item(Resource):
#be aware of these aren't instance variabe instead these are class variable
parser = reqparse.RequestPa... | null | section-4/code/app.py | app.py | py | 2,961 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask_restful.Resource",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "flask_restful.reqparse.RequestParser",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask_restful.reqparse",
"line_number": 13,
"usage_type": "name"
},
{
... |
301478978 | from typing import TypeVar, cast
import jax
from jax import numpy as jnp
from .. import hints
from .._base import MatrixLieGroup
from .._se2 import SE2
from .._se3 import SE3
from .._so2 import SO2
from .._so3 import SO3
T = TypeVar("T", bound=MatrixLieGroup)
@jax.jit
def rplus(transform: T, delta: hints.TangentVe... | null | jaxlie/manifold/_manifold_helpers.py | _manifold_helpers.py | py | 3,652 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "typing.TypeVar",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "_base.MatrixLieGroup",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "jax.jit",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "_base.MatrixLieGroup... |
596576807 | # -*- coding: utf-8 -*-
import scrapy
from scrapy.loader import ItemLoader
from meizitu.items import MeizituItem
class WholeSpider(scrapy.Spider):
name = 'whole'
allowed_domains = ['www.meizitu.com']
start_urls = ['http://www.meizitu.com//']
def __init__(self, **kwargs):
super().__init__(**kw... | null | meizitu/spiders/whole.py | whole.py | py | 1,961 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "scrapy.Spider",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "scrapy.loader.ItemLoader",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "meizitu.items.MeizituItem",
"line_number": 36,
"usage_type": "call"
}
] |
413073133 | from datetime import datetime, timedelta
from django.test import TestCase
from casexml.apps.case.tests.util import check_xml_line_by_line
from corehq.apps.mobile_auth.utils import new_key_record, get_mobile_auth_payload
from dimagi.ext.jsonobject import HISTORICAL_DATETIME_FORMAT
class MobileAuthTest(TestCase):
... | null | corehq/apps/mobile_auth/tests.py | tests.py | py | 2,486 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.test.TestCase",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "dimagi.ext.jsonobject.HISTORICAL_DATETIME_FORMAT",
"line_number": 13,
"usage_type": "argument"
},
{
"api_name": "datetime.datetime.utcnow",
"line_number": 16,
"usage_type": "cal... |
185218237 | ################################################################################
"""This program will read in a SAINT 'list.txt' file and the interactions from
the consensus path db database and return all the interactions that we saw in
our experiment in a format suitable for cytoscape. This allows us to filter
be... | null | ProteinInteractions.py | ProteinInteractions.py | py | 3,166 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.argv",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "itertools.chain",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "os.rename",
"line_number": 85,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number":... |
320932259 | from helpers.utils import paginator
from helpers.helpers import upload_df_S3
from datetime import datetime
import pandas as pd
import os
elements_to_extract = {
'characters':
{'end_point': 'characters',
'values': ['id', 'name', 'modified']
},
'comic_character':
... | null | avengers/functions/extractor.py | extractor.py | py | 2,524 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.environ",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 45,
"usage_type": "name"
},
{
"api_name": "helpers.... |
259782834 | from ahoy.dockerApi import docker_client
from flask import Blueprint, json, request, session, current_app
from docker.errors import APIError, NotFound
docker_swarm_bp = Blueprint('docker_swarm_bp', __name__, url_prefix="/swarm")
@docker_swarm_bp.route('/')
def swarm():
return "swarm"
# Swarm Node
@docker_swarm_b... | null | ahoy/dockerApi/swarm/__init__.py | __init__.py | py | 2,667 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Blueprint",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "ahoy.dockerApi.docker_client.nodes.list",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "ahoy.dockerApi.docker_client.nodes",
"line_number": 16,
"usage_type": "attribute"
... |
509724974 | import requests
from dateutil.relativedelta import relativedelta
import datetime
import smtplib
# Foursquare Token
# https://foursquare.com/developers/explore
API_TOKEN = ""
# Amazon SES
SMTP_AUTH_USER = ""
SMTP_AUTH_PWD = ""
EMAIL = ""
def get_checkins_from_past(years):
endDate = datetime.datetime.now() - rela... | null | 4square_past_checkins_script.py | 4square_past_checkins_script.py | py | 2,188 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "datetime.datetime.now",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "dateutil.relativedelta.relativedelta",
"line_number": 17,
"usage_type": "call"
},
{
... |
586043741 | # The contents of this file are licensed at your option under any and/or all of the following:
# WTFPL, CC0, Apache 2.0, MIT, BSD 3-clause, MPL 2.0, GPL2.0, GPL3.0, LGPL, CDDL1.0, EPL1.0.
# So pick your favorite license, do what you want, and have fun!
from typing import cast, Union, Dict, Mapping, Optional, Tuple, An... | null | teddy.py | teddy.py | py | 43,454 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "typing.List",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_nu... |
423537584 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import numpy as np
from scipy.spatial.distance import euclidean
import matplotlib.pyplot as plt
from ase.io import read, write
from ase.visualize impor... | null | krrThomas/searchStat/get_best_current.py | get_best_current.py | py | 1,128 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.argv",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "ase.io.read",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_numbe... |
258095977 | """CodEX URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/2.0/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-based v... | null | Star's Python Workspace/Web App/Distributed/CodEX/CodEX/urls.py | urls.py | py | 1,200 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.urls.path",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin.site",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "... |
111683453 | #!/usr/bin/python3
# 导入相关包
# 禁止输出warning信息
import warnings
warnings.filterwarnings('ignore')
import numpy as np
import pandas as pd
from pandas import plotting
import matplotlib.pyplot as plt
plt.style.use('seaborn')
import seaborn as sns
sns.set_style("whitegrid")
from sklearn.linear_model import LogisticRegre... | null | iris.py | iris.py | py | 11,864 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.style.use",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.style",
"line_number": 15,
"usage_type": "attribute"
},
{
"a... |
365913867 | #!/usr/bin/env python3
#-*- coding: utf-8 -*-
# Programmiertechniken in der Computerlinguistik II
# Uebung 4, Aufgabe 1.2
# Autoren: Frik Bauer, Salome Wildermuth
import xml.etree.ElementTree as ET
import random
def split_corpus(infile, outdir):
abstract = []
document_start = False
for _,article in ET.... | null | corpus_splitter.py | corpus_splitter.py | py | 1,679 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "xml.etree.ElementTree.iterparse",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "random.randint",
"line_number": 39,
"usage_type": "call"
}
] |
80646820 | """
Usages:
python run_layoutlmv2.py --train_config default --work_dir runs/train/layoutlmv2-base-uncased_50e/
"""
import argparse
from transformers import AutoModelForQuestionAnswering
import torch.nn as nn
from utils import load_and_process_data, create_logger
from config import TRAIN_DATA, VAL_DATA, MODEL_CHECK... | null | libs/layoutlmv2/run_layoutlmv2.py | run_layoutlmv2.py | py | 6,332 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torch.device",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "torch.cuda.devic... |
212083151 | import pytest
import time
import logging
import contextlib
import numpy as np
import curio
import caproto as ca
from .conftest import default_setup_module, default_teardown_module
from . import _asv_shim
ioc_handler = None
logger = logging.getLogger(__name__)
def setup_module(module):
default_setup_module(modu... | null | caproto/tests/test_bench.py | test_bench.py | py | 11,903 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "conftest.default_setup_module",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "l... |
413942902 | """Fastapi based Web services."""
import logging
import time
from multiprocessing import Process
import uvicorn
from ambianic import DEFAULT_DATA_DIR
from ambianic.util import ManagedService
from ambianic.webapp.fastapi_app import set_data_dir
log = logging.getLogger(__name__)
# configuration
DEBUG = True
class Fa... | null | src/ambianic/webapp/fastapi_server.py | fastapi_server.py | py | 3,735 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "ambianic.util.ManagedService",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "ambianic.DEFAULT_DATA_DIR",
"line_number": 27,
"usage_type": "name"
},
{
"api_name... |
583971095 | from pathlib import Path
import pickle
from typing import Mapping, List, Union
import numpy as np
import janome.tokenizer
from .base_word_preprocessor import BaseWordPreprocessor
from mltool.datasource.loader.ahcloader import AhcLoader
from mltool.util import config_loader
FEATURE_PATH = Path('config/feature_path.ym... | null | mltool/preprocessor/text/japanese_word_preprocessor.py | japanese_word_preprocessor.py | py | 5,179 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pathlib.Path",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "mltool.util.config_loader.load",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "mltool.util.config_loader",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": ... |
35745068 | from django.db import models
from django.contrib.auth.models import AbstractUser
from django_countries.fields import CountryField
# Create your models here.
class User(AbstractUser):
email = models.EmailField('email address', max_length=100, unique=True,
error_messages={'unique': "A... | null | enpassant/users/models.py | models.py | py | 1,973 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.contrib.auth.models.AbstractUser",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.db.models.EmailField",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.db.models",
"line_number": 9,
"usage_type": "name"
},
{
... |
380123678 | """Fixes file permissions after the file gets written on import. Put something
like the following in your config.yaml to configure:
permissions:
file: 644
"""
import os
from beets import config, util
from beets.plugins import BeetsPlugin
def convert_perm(perm):
"""If the perm is a int it will fir... | null | beetsplug/permissions.py | permissions.py | py | 1,865 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.stat",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "beets.plugins.BeetsPlugin",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "beets.config",
"line_number": 44,
"usage_type": "name"
},
{
"api_name": "os.chmod",
"line_n... |
541077703 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
from django.conf import settings
class Migration(migrations.Migration):
dependencies = [
('remote_users', '0001_initial'),
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
... | null | apps/transfers/migrations/0001_initial.py | 0001_initial.py | py | 2,987 | python | en | code | null | code-starcoder2 | 66 | [
{
"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": 12,
"usage_type": "call... |
316552832 | import numpy as np
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler
from sklearn.datasets import make_moons, make_circles, make_classification
import tensorflow.compat.v1 as tf
tf.disable_v2_behavior()
#################### T... | null | Circle 선형식별.py | Circle 선형식별.py | py | 2,400 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "tensorflow.compat.v1.disable_v2_behavior",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "tensorflow.compat.v1",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "sklearn.datasets.make_circles",
"line_number": 11,
"usage_type": "call"
},
... |
550754179 | # Copyright 2008-2018 Univa Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in... | null | src/installer/src/tortuga/db/resourceAdapterCredentialsDbHandler.py | resourceAdapterCredentialsDbHandler.py | py | 6,897 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "tortuga.db.tortugaDbObjectHandler.TortugaDbObjectHandler",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "tortuga.exceptions.resourceNotFound.ResourceNotFound",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "resourceAdaptersDbHandler.ResourceA... |
198554980 | from django.conf import settings
from django.contrib.auth import login
from django.http import HttpResponse, JsonResponse
from django.shortcuts import redirect, render, reverse
from django.utils.decorators import method_decorator
from django.views import View
from lib.decorators import ajax_required
from web.forms.reg... | null | web/views/signin.py | signin.py | py | 2,290 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.views.View",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "django.shortcuts.redirect",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.reverse",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "... |
8496651 | #!/usr/bin/env python
import os
from math import copysign, cos, log, sin, sqrt
import roslib
import rospy
import std_srvs.srv
from asebaros_msgs.msg import AsebaEvent
from asebaros_msgs.srv import GetNodeList, LoadScripts, LoadScriptToTarget
from dynamic_reconfigure.server import Server
from geometry_msgs.msg import ... | null | src/ros-aseba/thymio_driver/nodes/multi_thymio_driver_node.py | multi_thymio_driver_node.py | py | 26,139 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "thymio_msgs.msg.Led.CIRCLE",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "thymio_msgs.msg.Led",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "thymio_msgs.msg.Led.PROXIMITY",
"line_number": 36,
"usage_type": "attribute"
},
{... |
97804777 | import logging
import time
from aws_reaper.common.main import get_aws_account_id
from aws_reaper.config import Config
from aws_reaper.execution_plan import ExecutionPlan
from aws_reaper.execution_worker import ExecutionWorker
from aws_reaper.execution_manager import CheckExecutionManager, CleanExecutionManager
from aw... | null | aws_reaper/main.py | main.py | py | 14,782 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "logging.NullHandler",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "aws_reaper.service_loader.ServiceLoader",
"line_number": 15,
"usage_type": "call"
},
{
"api... |
551742224 | # /usr/local/bin/python3.8
# -*- coding: utf-8 -*-
# @Time : 2021-03-27 11:15 上午
# @Author : 张晨旭
# @IDE : PyCharm
# @PROJECT : Test_Api
# @File : test_address.py
import pytest
import yaml
from test_conntact.contact_api.address_api import AddressApi
class TestAddress():
'''
编写测试用例，并进行相应的数据清洗
'... | null | test_conntact/test_case/test_address.py | test_address.py | py | 2,901 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "test_conntact.contact_api.address_api.AddressApi",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pytest.mark.parametrize",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_number": 25,
"usage_type": "attribute"
},
... |
255056067 | #! /usr/bin/env python
# -*- coding:utf-8 -*-
# json 转 xml
# json2xml.py
# Version 1.0
import json
from libs.dicttoxml import dicttoxml
from xml.dom.minidom import parseString
class Json2Xml:
def __init__(self, file=None):
self.result = None
if file:
self.loadjson2xml(file)
def lo... | null | libs/json2xml.py | json2xml.py | py | 852 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "json.load",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "libs.dicttoxml.dicttoxml",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "xml.dom.minidom.parseString",
"line_number": 26,
"usage_type": "call"
}
] |
60854841 | """
Make a pie chart
This script is written by Vamei, http://www.cnblogs.com/vamei
you may freely use it.
"""
import matplotlib.pyplot as plt
import numpy as np
# quants: GDP
# labels: country name
labels = []
quants = []
# Read data
for line in file('../data/country_gdp.txt'):
info = line.split()
labels.a... | null | hmm/chart-bar.py | chart-bar.py | py | 797 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.linspace",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "matplotlib.... |
574605914 | from math import sqrt, exp, pi, log
import matplotlib.pyplot as plt
import scipy.optimize as sciOpt
from numpy.random import normal as rngNormal
areas = dict()
#return normal distribution function
def normal(mean, sigma):
return lambda x: (1/sqrt(2*sigma*sigma*pi))*exp(-(1/(2*sigma*sigma))*(x-mean)*(x-mean))
#Cl... | null | election_stats.py | election_stats.py | py | 4,387 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "math.sqrt",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "math.pi",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "math.exp",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_num... |
433000206 | # CUSTOM MIDDLEWARE FOR DJANGO:
import re
from utils import get_viewer_region
from django.template import RequestContext
from django.shortcuts import get_object_or_404, render_to_response, redirect
# Middleware processor for IE redirects.
class IERedirectMiddleware(object):
def process_request(self, request):
... | null | app/lib/middleware.py | middleware.py | py | 1,648 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "re.compile",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "re.IGNORECASE",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "re.findall",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render_to_r... |
565130647 | from typing import Dict
from .base import BaseParser
class OpenGraphParser(BaseParser):
allowed_og_properties = {
'og:title',
'og:description',
'og:image',
}
def extract_data(self) -> Dict[str, str]:
meta = self._soup.findAll('meta')
result = {}
for tag in... | null | zerver/lib/url_preview/parsers/open_graph.py | open_graph.py | py | 696 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "base.BaseParser",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 13,
"usage_type": "name"
}
] |
496407497 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations
def copy_to_teamusercopy(apps, schema_editor):
"""Copy from TeamUser to TeamUserCopy"""
TeamUser = apps.get_model('status', 'TeamUser')
TeamUserCopy = apps.get_model('status', 'TeamUserCopy')
for teamuse... | null | standup/status/migrations/0013_backup_teamuser.py | 0013_backup_teamuser.py | py | 1,508 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.RunPython",
"line_number": 40,
"usage_type": "call"
},
... |
15913211 | import cv2
import os
import numpy as np
import tensorflow as tf
def model(x, y, dropout_probability, is_training, settings):
"""
This method builds the classification model
:param x: The input to be processed by the classifier. Expected to be of size [None, image_height, image_width, image_channels]
:... | null | model.py | model.py | py | 13,334 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "tensorflow.reshape",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "tensorflow.variable_scope",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "tensorflow.layers.batch_normalization",
"line_number": 34,
"usage_type": "call"
},
{
... |
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