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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
244727991 | # -*- coding:utf-8 -*-
import pymysql
db = pymysql.connect("192.168.1.4", "zsbusiness", "3cF8ST", "zzss_audit", charset='utf8')
cursor = db.cursor()
year_list_sql = "SELECT * FROM `zs_audit_data` WHERE DATE >= '2018-02-14' AND DATE <= '2018-02-27';"
cursor.execute(year_list_sql)
year_list = cursor.fetchall()
| null | 20190214/概率变动产品编号.py | 概率变动产品编号.py | py | 316 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pymysql.connect",
"line_number": 5,
"usage_type": "call"
}
] |
121935351 | import torch
from torch.optim.optimizer import Optimizer, required
class MDNesterov(Optimizer):
r"""
(batch, mini-batch)Stochastic gradient descent:
$$
\theta \gets \theta - \eta \sum_{i=1}^{B} \frac{\partial l_i}{\partial \theta}.
$$
"""
def __init__(self, params, lr=required, ... | null | MDNesterov.py | MDNesterov.py | py | 6,352 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.optim.optimizer.Optimizer",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "torch.optim.optimizer.required",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "torch.optim.optimizer.required",
"line_number": 12,
"usage_type": "name"
... |
220364480 | import argparse
import codecs
import copy
import logging
import sys
import dockercloud
import requests
from dockercloudcli import commands
from dockercloudcli import parsers
from dockercloudcli.exceptions import InternalError
from . import __version__
requests.packages.urllib3.disable_warnings()
sys.stdout = codecs... | null | dockercloudcli/cli.py | cli.py | py | 15,720 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.packages.urllib3.disable_warnings",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "requests.packages",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "sys.stdout",
"line_number": 17,
"usage_type": "attribute"
},
{
... |
415160161 | from functools import wraps
from authutils.errors import JWTError, JWTExpiredError
import flask
from flask_sqlalchemy_session import current_session
from fence.errors import Unauthorized, InternalError
from fence.jwt.validate import validate_jwt
from fence.models import User, IdentityProvider
from fence.user import g... | null | fence/auth.py | auth.py | py | 5,929 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask_sqlalchemy_session.current_session.query",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "fence.models.User",
"line_number": 36,
"usage_type": "argument"
},
{
"api_name": "flask_sqlalchemy_session.current_session",
"line_number": 35,
"usage... |
358368988 | from os import environ
from typing import Tuple, Union
from src.utils.response import UJSONResponse, to_response
from .service import API, APIService
class UserAPI:
api_url = environ.get('USER_API')
request = APIService(API(api_url))
@classmethod
def find_user(
cls,
email: str,
... | null | src/services/user_api.py | user_api.py | py | 821 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.environ.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "service.APIService",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "service.API",
"line_nu... |
287557647 | from django.shortcuts import render
from django.http import HttpResponse
from django.http.response import HttpResponseRedirect, HttpResponseRedirectBase
from django import forms
import time
from bootstrap3_datetime.widgets import DateTimePicker
class LogcmdForm(forms.Form):
customer_id = forms.IntegerField(requir... | null | j_app/logcmd_view.py | logcmd_view.py | py | 4,481 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.forms.Form",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.forms.IntegerField",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.for... |
374222520 | from selenium import webdriver
from selenium.webdriver.firefox.options import Options
import time
import numpy as np
import pandas as pd
import sys
def create_browser(start_url):
o = Options()
o.add_argument('-private')
o.headless = True
#o.add_argument("--headless");
browser = webdriver.Firefox(options=o)
br... | null | selenium_nba.py | selenium_nba.py | py | 1,754 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "selenium.webdriver.firefox.options.Options",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Firefox",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 15,
"usage_type": "name"
},
... |
530404318 | r"""
Show numerical precision of $2 J_1(x)/x$.
"""
import sys; sys.path.insert(0, '..')
import numpy as np
try:
from mpmath import mp
except:
# CRUFT: mpmath split out into its own package
from sympy.mpmath import mp
#import matplotlib; matplotlib.use('TkAgg')
import pylab
SHOW_DIFF = True # True if show... | null | explore/lgamma.py | lgamma.py | py | 3,045 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.path.insert",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "sympy.mpmath.mp.workprec",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "sympy.mpmath.mp"... |
113230167 | from palm_roi_detection_SVM import *
from utils import *
def demo_handsegment_method():
full_mask = cv2.imread('image_demo/compare/02.png',0)
full_mask = cv2.resize(full_mask, (640,480))
from utils import hand_mask_segmentation_choose_max_roi
from wrist_line import detectHandByWristCrop
hand_mask, ... | null | demo_everything.py | demo_everything.py | py | 6,445 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "utils.hand_mask_segmentation_choose_max_roi",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "utils.apply_brightness_contrast",
"line_number": 55,
"usage_type": "call"
}
] |
474221628 | import os
import sys
import time
import glob
import logging
import argparse
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.utils.data as data
import torch.backends.cudnn as cudnn
import torchvision.transforms as transforms
from utils import AverageMeter, EMA, Logger... | null | train_base.py | train_base.py | py | 16,739 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 74,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 74,
"usage_type": "attribute"
},
{
"api_name": "utils.create_exp_di... |
10195016 | from turtle import Screen
from paddle import Paddle
from ball import Ball
from scoreboard import Scoreboard
import time
#screen details
screen = Screen()
screen.bgcolor('black')
screen.setup(width = 800, height = 600)
screen.title("Fun With POGO")
screen.tracer(0)
#objects
r_paddle = Paddle(350,0)
l_paddle = Paddle(-... | null | main.py | main.py | py | 1,187 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "turtle.Screen",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "paddle.Paddle",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "paddle.Paddle",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "ball.Ball",
"line_number... |
12492720 | import lxml
import bs4
from bs4 import BeautifulSoup as bs
from lxml import etree
class ParseXml:
@staticmethod
def html_to_xml(html, xslt):
"""
此方法将网页经过xslt文件筛选
:param html: 网页源码，需要经过编码
:param xslt_name: xslt文件路径
:return: 解析过后的xml内容
"""
try:
... | null | jiangsu/conf/parsexml.py | parsexml.py | py | 6,322 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "lxml.etree.HTML",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "lxml.etree",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "lxml.etree.XSLT",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "lxml.etree",
"line_num... |
482367633 | from flask import Blueprint, jsonify, request, redirect, current_app, render_template
from flask.helpers import send_file
from zipfile import ZipFile
import io
from os.path import basename
from werkzeug.exceptions import InternalServerError
#import py-fasta-validator # for validating fasta files
from api.utils import ... | null | website-glen/api/api/views.py | views.py | py | 5,712 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Blueprint",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "werkzeug.exceptions.InternalServerError",
"line_number": 23,
"usage_type": "argument"
},
{
... |
351011397 | #!/usr/bin/env python
#-*- coding:utf-8 -*-
from torchvision import datasets, models, transforms
from torch.utils.data import DataLoader
import torch.optim as optim
import torch, torchvision
import torch.nn as nn
import matplotlib.pyplot as plt
import numpy as np
import time
import os
root_dir = "/program/wf/data/Br... | null | modelsearch/train.py | train.py | py | 8,090 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.device",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "torchvision.tran... |
648843829 | from bs4 import BeautifulSoup
import requests,os,shutil,time
headers = {
'User-Agent': "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.1 (KHTML, like Gecko) Chrome/22.0.1207.1 Safari/537.1",
'Accept': "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8",
'Accep... | null | main.py | main.py | py | 2,634 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_... |
200915418 | import os
import shutil
from typing import Union, List
from app.file_utils import make_dir_with_chmod
from app.services.storage_service.acl import Acl
from app.services.storage_service.exceptions import StorageServiceException
from app.services.storage_service.file_manager import FileManager
class MountedVolumeFileM... | null | app/services/storage_service/mounted/local_file_manager.py | local_file_manager.py | py | 4,531 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "app.services.storage_service.file_manager.FileManager",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 17,
"usage_type": "name"
},
{
"ap... |
541778334 | import time
import pickle
import numpy as np
import torch
import torch.nn.utils
import json
from baseline_lstm import LSTM_Model
from datetime import datetime
import sys
sys.path.append('../') # needed to access functions in the parent directory
from constituency_preprocess import WVC
#with open('../trainlist.txt',... | null | models_in_progress/constituency_lstm_main.py | constituency_lstm_main.py | py | 7,850 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.path.append",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "pickle.load",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_num... |
625570479 | import os
import numpy as np
from PIL import Image
import random
from datetime import datetime
import matplotlib.pyplot as plt
from matplotlib import cm
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2' # set TF logging to ERROR, needs to be done before importing TF
import tensorflow as tf
from tensorflow.keras.preprocessing.i... | null | a2ndl-hw/2-img_segmentation/vgg_base.py | vgg_base.py | py | 12,900 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.environ",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "dataset_types.Subdataset.ROSEAU",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "dataset_types.Subdataset",
"line_number": 27,
"usage_type": "name"
},
{
"api_... |
359062465 | #!/usr/bin/env python
import logging
from zk_transformation import ZKTransformation
def add_parsers(zk_tran, parser):
new_list = []
for parserStage in parser["parserStages"]:
if parserStage["type"] == "text":
new_list.append({"type": "xml", "enabled": True})
logging.info("Fo... | null | transformations/zk_add_parsers.py | zk_add_parsers.py | py | 771 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.info",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "zk_transformation.ZKTransformation",
"line_number": 22,
"usage_type": "call"
}
] |
523098869 | # coding: utf-8
from flask.ext.script import Command, Option
from .models import Campaign
class ListCampaign(Command):
"prints a list of campaigns"
command_name = 'list_campaigns'
option_list = (
Option('--title', '-t', dest='title'),
)
def run(self, title=None):
campaigns = C... | null | commands.py | commands.py | py | 473 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.ext.script.Command",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "flask.ext.script.Option",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "models.Campaign.objects",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_... |
619113190 | import speech_recognition as speech
from googletrans import Translator
#initialise audio recogniser
audio_recogniser = speech.Recognizer()
#initialise translator
translator = Translator()
#initialise audio source
with speech.Microphone() as source:
print('Say something into the microphone!')
#takes input fro... | null | basic_speechrecog.py | basic_speechrecog.py | py | 950 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "speech_recognition.Recognizer",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "googletrans.Translator",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "speech_recognition.Microphone",
"line_number": 11,
"usage_type": "call"
},
{
"... |
209906364 | import urllib2
from bs4 import BeautifulSoup
url = "http://scores.nbcsports.msnbc.com/cbk/scoreboard.asp"
page = urllib2.urlopen(url)
soup = BeautifulSoup(page)
scores = soup("table", { 'class':'shsTable shsLinescore'})
game_counter = 0
for score in scores:
game_counter += 1
box = score.first("table")
... | null | jordan_madness.py | jordan_madness.py | py | 456 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "urllib2.urlopen",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 6,
"usage_type": "call"
}
] |
392906415 | # -*- coding: utf-8 -*-
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
import cv2
import torch
from torch import nn
from torch.autograd import Function
# from torch.autograd.function import once_differentiable
import _C
def nms_rotate... | null | my_tools/rotate_ops.py | rotate_ops.py | py | 9,239 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.zeros",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.int",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "cv2.rotatedRectangleIntersection",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "cv2.conve... |
458451166 | import json
import pandas as pd
# Open JSON files containing countries and US ROIs
with open('countries.json') as country_file, open('USrois.json') as US_file:
countries = json.load(country_file)
US = json.load(US_file)
# Instantiate DataFrame
df = pd.DataFrame (columns = ['roi','region', 'subregion'])
# Fi... | null | niddk_covid_sicr/rois_to_csv.py | rois_to_csv.py | py | 982 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "json.load",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 11,
"usage_type": "call"
}
] |
218776157 | #!/usr/bin/env python
import threading
from queue import Queue
import time
import socket
import argparse
import sys
# a print_lock is what is used to prevent "double" modification of shared variables.
# this is used so while one thread is using a variable, others cannot access
# it. Once done, the thread releases the p... | null | scan.py | scan.py | py | 2,269 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "threading.Lock",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"... |
183049265 | # -*- coding: utf-8 -*-
"""
CSCI-GA.3033-003 - Project: Finding Napa
R. Feng, C. Gilbert, G. Ng
Contains Python wrappers for various Hadoop tools
function impRunClass: Unpickles and returns an existing runHadoop class
class runHadoop: contains execution and testing methods for MapReduce
"""
import subprocess
import ... | null | tools/HadoopTools.py | HadoopTools.py | py | 21,319 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.version_info",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "pickle.load",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "os.devnull",
"line_number": 71,
"usage_type": "attribute"
},
{
"api_name": "pickle.dump",
"... |
199425788 | from typing import List, Dict, Any
import pandas as pd
import torch
from torch.utils.data import Dataset
from transformers import DataCollatorWithPadding as HfDataCollatorWithPadding
from .utils import from_config
class CustomDataset(Dataset):
"""Dataset for CZ4034 - Money, Food and Service Aspects Extraction ta... | null | utils/data.py | data.py | py | 4,028 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "pandas.read_csv",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "pandas.concat",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "utils.from_con... |
140321152 | # -*- coding: utf-8 -*-
"""
Created on Wed Jun 12 13:48:29 2019
@author: laure
"""
import sys, pygame, random
pygame.init()
SIZE = [1200, 800]
width, height = SIZE
WHITE = [255, 255, 255]
BLACK = [ 0, 0, 0]
RED = [255, 0, 0]
screen = pygame.display.set_mode(SIZE)
class Voyageur:
def __init__(self,sur... | null | projet_prog_objet/projet_foule.py | projet_foule.py | py | 2,315 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pygame.init",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "pygame.draw.ci... |
416560059 | __author__ = 'aditrugman'
from questions import *
import json
from room import *
import client
import competitor
import time
import BaseHTTPServer
from urlparse import urlparse, parse_qs
from SocketServer import ThreadingMixIn
import cgi
import sys
from questions import Question, Questions
class RequestHandler(BaseH... | null | server/web_service.py | web_service.py | py | 15,187 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "BaseHTTPServer.BaseHTTPRequestHandler",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "client.clients.get",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "client.clients",
"line_number": 51,
"usage_type": "attribute"
},
{
... |
242798919 | import re
import time
import numpy as np
import pandas as pd
from collections import Counter
from helper import trans, is_english_letters, sub_space, flow
data_dir = 'Urdu datasets/'
regex_chars = '[\'".-`]'
regex_alphabets = '[^a-zA-z]'
base_filename = 'Roman urdu datasets/Roman_Urdu_Words.csv'
timestamp = str(time.t... | null | words_compilation.py | words_compilation.py | py | 4,608 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "time.time",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "helper.is_english_letters",
"line_number"... |
308502237 | # -*- coding: utf-8 -*-
# ---------------------------------------------------------------------------
# CRS_Main7_Add_Attr_Index_CONTEXT.py
# Created on: 2018-06-08
#
# Usage:
# Description: copy Connect_Property from assets.gdb to pre-prod SSREPORT sde database
# ---------------------------------------------------... | null | crs_scripts/3x/CRS_Main7_Add_Attr_Index_CONTEXT.py | CRS_Main7_Add_Attr_Index_CONTEXT.py | py | 6,998 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "arcpy.env",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "config.Settings.CONTEXT_SDE_PATH",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "config.Settings",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "... |
5058515 | """ This example evaluates the volume potential over
[-1,1]^2 with the Laplace kernel.
"""
from __future__ import absolute_import, division, print_function
__copyright__ = "Copyright (C) 2017 - 2018 Xiaoyu Wei"
__license__ = """
Permission is hereby granted, free of charge, to any person obtaining a copy
of this ... | null | examples/laplace2d.py | laplace2d.py | py | 13,089 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "logging.basic... |
338677469 | #%%
# -*- coding: utf-8 -*-
import pickle
import os
import numpy as np
import matplotlib
from matplotlib import pyplot as plt
with open(os.path.join(os.getcwd(), '..', 'results', 'mnist_5layer_mlff', 'e99.pickle'), 'rb') as F:
Results = pickle.load(F)
mlff_dW = Results['mean dW']
with open(os.path.join(os.get... | null | scripts/mnist_5layer_dw.py | mnist_5layer_dw.py | py | 1,230 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.join",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": ... |
146257061 | from random import expovariate, normalvariate, uniform, triangular
from queue import Queue
from channel import Channel
from task import Task
from globals import *
from matplotlib import pyplot as plot
class Phase:
def __init__(self, channels_count, generator, queue_length, next_phase, function_log_callba... | null | sixth/phases.py | phases.py | py | 5,690 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "channel.Channel",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "queue.Queue",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "channel.is_available",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "channel.update"... |
580263108 | #!/usr/bin/env python3
import sys
if sys.version_info.major < 3:
print('python3 required!')
exit()
import gadget
import ChaNGa
import tipsy
import argparse
import math
import numpy as np
parser = argparse.ArgumentParser(description='Convert GADGET2 files to ChaNGa files')
parser.add_argument('gadget_file', ... | null | gadget2changa.py | gadget2changa.py | py | 6,737 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.version_info",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "gadget.parameter_file",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "ga... |
261811306 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
Chop up multiple GDC SVS files into tiles.
Some of the behaviour here is pretty cranky, designed around some particular
constraints in the storage & compute setup for the Kidney project.
You probably want to run with the --no_cache option, at least.
'''
import sys, ... | null | bulk_tile.py | bulk_tile.py | py | 9,093 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.join",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 2... |
106792369 | if __name__ == "__main__":
import os, sys
from collections import defaultdict
sys.path.append(os.path.join(os.environ['EBB'],'IlluminaPE/simerr'))
from miscBowTie import BowTieReader, BowTieWriter
from cPickle import *
from optparse import OptionParser
from c_composite import compose2 # the cython version of com... | null | simerr/run_composite.py | run_composite.py | py | 1,873 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.path.append",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": ... |
247128730 | # -*- coding=utf-8 -*-
'''
Created on 2013-12-10上午10:44:10
@author: lingjun.gong(jialan)
'''
import gevent
from gevent import Timeout
seconds = 2
timeout = Timeout(seconds)
timeout.start()
def wait():
gevent.sleep(2)
try:
gevent.spawn(wait).join()
except Timeout:
print('Could not complete') | null | test_gevent/test_timeout_1.py | test_timeout_1.py | py | 313 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "gevent.Timeout",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "gevent.sleep",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "gevent.spawn",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "gevent.Timeout",
"line_n... |
435852300 | from flask import Flask, escape, request, render_template, redirect, flash, url_for
from flask_sqlalchemy import SQLAlchemy
import jinja2
import os
app = Flask(__name__)
app.config['DEBUG']= True
app.config['SQLALCHEMY_DATABASE_URI'] = 'mysql+pymysql://build-a-blog:lc101@localhost:8889/build-a-blog'
app.config... | null | main.py | main.py | py | 2,649 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask_sqlalchemy.SQLAlchemy",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "flask.re... |
85877923 | # 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: build/bdist.macosx-10.11-x86_64/egg/djblets/privacy/tests/test_consent_tracker.py
# Compiled at: 2019-06-12 01:17:17
"""Unit tests for djblets.privacy.consent.tr... | null | pycfiles/Djblets-1.0.12-py2.7/test_consent_tracker.py | test_consent_tracker.py | py | 9,745 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "djblets.privacy.consent.BaseConsentTracker",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "djblets.privacy.consent.BaseConsentRequirement",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "djblets.privacy.consent.BaseConsentRequirement",
"l... |
447394360 | """690. Employee Importance
Time Complexity -O(N)
Space Complexity - O(N)
Approach ->BFS and hashmap"""
"""
# Definition for Employee.
class Employee:
def __init__(self, id: int, importance: int, subordinates: List[int]):
self.id = id
self.importance = importance
self.subordinates = subord... | null | Employeeimp.py | Employeeimp.py | py | 885 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.deque",
"line_number": 19,
"usage_type": "call"
}
] |
503877727 | from flask import abort, Blueprint, g, request, render_template
from gitmostwanted.models.repo import Repo, RepoMean
from gitmostwanted.models.user import UserAttitude
from gitmostwanted.models import report
from gitmostwanted.app import db
repo_trending = Blueprint('repo_trending', __name__)
@repo_trending.route('/... | null | gitmostwanted/blueprints/repo_trending.py | repo_trending.py | py | 1,317 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Blueprint",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "gitmostwanted.models.report",
"line_number": 14,
"usage_type": "argument"
},
{
"api_name": "gitmostwanted.models.repo.Repo",
"line_number": 17,
"usage_type": "argument"
},
{
... |
45820687 | #!/usr/bin/python
# -*- coding: UTF-8 -*-
#
#
# L_Zealot
# May 1, 2017
#
#
import scipy.io as sio
from netCDF4 import Dataset
import numpy as np
import json
import datetime
import time
# Time settings
start_time='2015-01-01 00:00:00'
end_time='2015-01-01 00:00:00'
# Integration step in Hour
int_step=24
#... | null | HKUST-yeq-2016/script/170530-restime-debug-algrithm.py | 170530-restime-debug-algrithm.py | py | 4,991 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "datetime.datetime.strptime",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 27,
"usage_type": "call"
},
{
"api_... |
194243397 | import bs4
import requests
import csv
url = 'https://www.melon.com/chart/index.htm'
headers = {'User-Agent': '0:)'}
# 대신 요청을 보낼 User-Agent Key Value를 만듦(딕셔너리)
response = requests.get(url, headers=headers).text
text = bs4.BeautifulSoup(response, 'html.parser')
rows = text.select('.lst50')
writer = csv.writer(open('... | null | 00_startcamp/day02/melon50.py | melon50.py | py | 761 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "csv.writer",
"line_number": 15,
"usage_type": "call"
}
] |
355186796 | # encoding: utf-8
import asyncio
from aiohttp import web
from routes import setup_routes
async def test():
return 'test'
async def test2():
await test()
return 'test2'
async def main():
a = await test()
b = await test2()
print(a, b)
if __name__ == '__main__':
app = web.Application()... | null | app.py | app.py | py | 393 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "aiohttp.web.Application",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "aiohttp.web",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "routes.setup_routes",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "aiohttp.web.r... |
150835603 | from collections import defaultdict
import pytest
def solve(input):
all_seen_dict = defaultdict(int)
next_arrangement = tuple(input)
while True:
next_arrangement = get_gext_arrangement(next_arrangement)
if next_arrangement in all_seen_dict:
return len(all_seen_dict) + 1
... | null | day_6/test_part1.py | test_part1.py | py | 1,096 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.defaultdict",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pytest.mark.parametrize",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_number": 32,
"usage_type": "attribute"
}
] |
322749812 |
import threading
import queue
import cv2 as cv
import numpy as np
from image_processing.image_to_oled import re_sample
class VideoProcess(object):
def __init__(self):
self.videoThread = threading.Thread(target=self.videoThreading)
self.videoThread_run = False
self.readFram... | null | python_gui/video_process.py | video_process.py | py | 3,701 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "threading.Thread",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "queue.Queue",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "queue.Queue",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "queue.Queue",
"line_numb... |
115894297 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import torch
import torch.nn as nn
import torch.utils.model_zoo as model_zoo
import math
BN_MOMENTUM = 0.01
model_urls = {
'mobilenet_v2': 'https://download.pytorch.org/models/mobil... | null | src/lib/models/networks/mobilenetv2_det.py | mobilenetv2_det.py | py | 10,914 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.nn.Sequential",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "torch.nn.Conv2d",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_num... |
509579613 | #!/usr/bin/env python
# Load modules
import errno
import sys
import os
import argparse
import glob
from pathlib import Path
import re
# -------------------- Arguments --------------------
# Parse arguments
parser = argparse.ArgumentParser(description='Expand full list of images from an image stack.')
parser.add_arg... | null | expand_image_stacks.py | expand_image_stacks.py | py | 1,671 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sys.stdin.readlines",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "glob.glob"... |
314009416 | #!/usr/bin/env python
# encoding: utf-8
#============================================================
# [API]
# The HTTP API takes GET requests in the following schema:
# freegeoip.net/{format}/{IP_or_hostname}
#
# <csv>
# freegeoip.net/csv/8.8.8.8
# <xml>
# freegeoip.net/xml/4.2.2.2
# <json>
# freegeoip.net/json/gith... | null | scripts/where_ip_from.py | where_ip_from.py | py | 1,268 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "csv.DictWriter",
"line_number": 39,
"usage_type": "call"
}
] |
532660274 | #referencia em https://makersportal.com/blog/2018/2/25/python-datalogger-reading-the-serial-output-from-arduino-to-analyze-data-using-pyserial
import serial
def read(directory, eot=0x00000100, baudrate=1200, databits=serial.SEVENBITS, parity=serial.PARITY_EVEN, stopbits=serial.STOPBITS_TWO):
'''(str, int, bit_count, b... | null | python/data.py | data.py | py | 1,171 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "serial.SEVENBITS",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "serial.PARITY_EVEN",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "serial.STOPBITS_TWO",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "s... |
646214633 | #!/usr/bin/env python3
import subprocess
import os
import sys
import time
import argparse
wfile = os.environ["HOME"]+"/.windowlist"
def get(command):
return subprocess.check_output(["/bin/bash", "-c", command]).decode("utf-8")
def check_window(w_id):
w_type = get("xprop -id "+w_id)
if " _NET_WM_WINDOW_TY... | null | arrange.py | arrange.py | py | 3,212 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.environ",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "subprocess.check_output",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "subprocess.check_output",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "subpro... |
290215892 | import os
import aiopg
demo_data = """
CREATE TABLE users (
id UUID PRIMARY KEY,
login VARCHAR(127) NOT NULL UNIQUE
);
CREATE TABLE configs (
id UUID PRIMARY KEY,
path VARCHAR(255) NOT NULL UNIQUE
);
CREATE TABLE user_configs (
id SERIAL PRIMARY KEY,
user_id UUID,
config_id UUID,
CO... | null | cfgbroker/db.py | db.py | py | 2,892 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "aiopg.create_pool",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 93,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number":... |
269856922 | import chardet
import logging
import os
import pandas as pd
import sys as sys
def main(argv=None):
"""
Utilize Pandas library to read in both UNSD M49 country and area .csv file
(tab delimited) as well as the UNESCO heritage site .csv file (tab delimited).
Extract regions, sub-regions, intermediate regions, count... | null | scripts/met_inspector.py | met_inspector.py | py | 11,610 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.argv",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "logging.basicConfig",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 39,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
... |
602021518 | import os,inspect,argparse, datetime, copy, itertools, time
currentdir = os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe())))
parentdir = os.path.dirname(os.path.dirname(currentdir))
os.sys.path.insert(0, parentdir)
os.sys.path.insert(0, os.path.dirname(currentdir))
import json
from b3px_gym.b3px_e... | null | src/distributed_train/mujoco_parallel_batch.py | mujoco_parallel_batch.py | py | 6,796 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.dirname",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "inspect.getfile",
"line... |
353063150 | import urllib3
import pandas as pd
def api_call_request(url):
http = urllib3.PoolManager()
r = http.request('GET', url)
return str(r.data).replace("\\t", "\t").replace("\\n", "\n")
def marker_request(api_server, data_version, samples, locations):
samples_query = samples.replace(",", "+OR+")
url =... | null | src/genomagic_utils/api_server_utils.py | api_server_utils.py | py | 1,387 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "urllib3.PoolManager",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 28,
"usage_type": "call"
}
] |
101580893 | # uncompyle6 version 3.6.7
# Python bytecode 3.6 (3379)
# Decompiled from: Python 3.8.2 (tags/v3.8.2:7b3ab59, Feb 25 2020, 23:03:10) [MSC v.1916 64 bit (AMD64)]
# Embedded file name: build/bdist.linux-x86_64/egg/pymic/train_infer/get_optimizer.py
# Compiled at: 2019-12-07 03:31:59
# Size of source mod 2**32: 1348 bytes... | null | pycfiles/pymica-0.0.19.tar/get_optimizer.cpython-36.py | get_optimizer.cpython-36.py | py | 1,564 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.optim.SGD",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.optim",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "torch.optim.Adam",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.optim",
"line_... |
220503989 | import json
import numpy as np
import scipy.stats as stats
import matplotlib.pyplot as plt
DIFFICULTY = ['simple', 'easy', 'intermediate', 'expert']
def find_rank(data, correct=False):
m = len(data)
# Test whether any two samples are from the same distribution.
p_values = np.zeros(m - 1)
for idx in... | null | analyze_results.py | analyze_results.py | py | 4,534 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.zeros",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "scipy.stats.mannwhitneyu",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "scipy.stats",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "scipy.stats.kruskal"... |
83295742 | from django.test import TestCase
# Create test for Home Page
class TestViews(TestCase):
def test_get_homepage(self):
response = self.client.get('/')
self.assertEqual(response.status_code, 200)
self.assertTemplateUsed(response, 'home/index.html')
| null | home/tests.py | tests.py | py | 277 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.test.TestCase",
"line_number": 5,
"usage_type": "name"
}
] |
583196344 | from common_config import MAPPED_WINDOWS, FOREGROUND_THREAD, SAVE_MAPPING
import os
from os.path import sep as separator
from src.models.pantalla import Pantalla
from loggin.app_logger import AppLogger
from src.controllers.dnd_daemon import WinAppHandler
import threading
import json
from src.controllers.document_pars... | null | src/controllers/win_mapper.py | win_mapper.py | py | 5,205 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "loggin.app_logger.AppLogger.create_log",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "loggin.app_logger.AppLogger",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "src.helpers.screen_mapper.load_json_skel",
"line_number": 36,
"usage_t... |
495779778 | from django.urls import path
from . import views
from django.contrib.auth import views as auth_views
from django.conf.urls.static import static
from django.conf import settings
urlpatterns = [
path('', views.first_page, name='first_page'),
path('admin', views.dashboardAdmin, name='dashboardAdmin'),
path('... | null | montesory/urls.py | urls.py | py | 2,538 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
88517035 | import pymysql
from app import mysql
from config import Config
def query(db=Config.MYSQL_DATABASE_DB, statement="required", vars="", dictResults=False):
"""
Executes the statement and then returns the result as a list
Statement - SQL Query
Vars - List of variables in Query to prevent SQL Injection
... | null | app/db.py | db.py | py | 2,468 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "config.Config.MYSQL_DATABASE_DB",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "config.Config",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "config.Config.SHOW_QUERIES",
"line_number": 18,
"usage_type": "attribute"
},
{
"... |
10611378 | #Code is for python 3.4.3
import json, re
import urllib,urllib.request
import os,sys
os.chdir('C:/Users/Tin Yun/Dropbox/Stanford/CS 221/Final Project/ScienceQA')
api_key = open("freebase_api_key.txt").read()
queryResultLimit = 100000
# Usage: Must provide a valid freebase MID. For example to get San Francisco triples... | null | FreebaseExtractor.py | FreebaseExtractor.py | py | 3,237 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.chdir",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "urllib.parse.urlencode",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "urllib.parse",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "json.loads",
"li... |
279096531 | # 哪个罩杯的女性对黑色胸罩的需求量最大
from pandas import *
from matplotlib.pyplot import *
import sqlite3
import sqlalchemy
engine = sqlalchemy.create_engine('sqlite:///bra.sqlite')
rcParams['font.sans-serif'] = ['SimHei']
options.display.float_format = '{:,.2f}%'.format
sales = read_sql('select source,size1,color1 from t_sales',engine... | null | mybra/src/analyze/demo08.py | demo08.py | py | 891 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sqlalchemy.create_engine",
"line_number": 6,
"usage_type": "call"
}
] |
620756082 | import numpy as np # linear algebra
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)
import pickle
import json
import sqlite3
import datetime
import ast
from sklearn import preprocessing
from sklearn.preprocessing import Normalizer
import datetime
import operator
import mf_algo_py_param
def cr... | null | covalent/model-factory/backend/flask_api/algo_py/mf_algo_py_char_to_index.py | mf_algo_py_char_to_index.py | py | 3,137 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.DataFrame",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "pickle.dump",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "pickle.HIGHEST_PROTOCOL",
"line_number": 51,
"usage_type": "attribute"
},
{
"api_name": "pickle.dump... |
523688173 | from typing import Any, Dict, Optional, Union
from pydantic import BaseModel, Field
from .encoding import Encoding
from .example import Example
from .reference import Reference
from .schema import Schema
class MediaType(BaseModel):
"""Each Media Type Object provides schema and examples for the media type identi... | null | openapi_python_client/schema/openapi_schema_pydantic/media_type.py | media_type.py | py | 2,903 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pydantic.BaseModel",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "reference.Reference",... |
583235528 | import pandas as pd
from sklearn.preprocessing import StandardScaler
from sklearn.svm import SVR
data_set = pd.read_csv('/home/aamir/Desktop/diabetes.csv')
x = data_set.iloc[:, 1:-1].values
y = data_set.iloc[:, -1].values
y = y.reshape(len(y), 1)
sc_X = StandardScaler()
sc_Y = StandardScaler()
x = sc_X.fit_transform... | null | examples/testML.py | testML.py | py | 584 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.read_csv",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.StandardScaler",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.StandardScaler",
"line_number": 12,
"usage_type": "call"
},
... |
94991084 | from PIL import Image
import pytesseract
import cv2
import os
preprocess = 'thresh' #thresh
image = cv2.imread('scan.jpg')
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
if preprocess == 'thresh':
gray = cv2.threshold(gray, 0, 255, cv2.THRESH_BINARY | cv2.THRESH_OTSU)[1]
if preprocess == 'blur':
gray = cv2.... | null | 实战2_光学字符识别/test.py | test.py | py | 568 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cv2.imread",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "cv2.threshold",
"lin... |
191606625 | from django.conf.urls.defaults import *
from .feeds import RecentSubmissionsFeed, FeaturedSubmissionsFeed
from .feeds import TagSubmissionsFeed, ProfileSubmissionsFeed
from .feeds import SearchSubmissionsFeed
from utils import JingoTemplateLoader
template_loader = JingoTemplateLoader()
urlpatterns = patterns('demos... | null | apps/demos/urls.py | urls.py | py | 2,891 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "utils.JingoTemplateLoader",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "feeds.RecentSubmissionsFeed",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "feeds.FeaturedSubmissionsFeed",
"line_number": 54,
"usage_type": "call"
},
{
... |
444186875 | """上海证券"""
import requests
import json
import pymysql
import urllib3
urllib3.disable_warnings()
conn = pymysql.connect(
host="localhost",
port=3306,
user="root",
password="123456",
database="goods",
charset="utf8",
)
cursor = conn.cursor()
for i in range(1, 1721, 10):... | null | 11/1127/上海证券.py | 上海证券.py | py | 1,626 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "urllib3.disable_warnings",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pymysql.connect",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "json.loads",
... |
35642083 | import cs689_utils
import psycopg2
import pandas as pd
import random
entriesInDatabase = 0
connDB = psycopg2.connect("dbname=postgres user=postgres host=localhost port=54321 password=bitnami")
dbCur = connDB.cursor()
file = "Energy Census and Economic Data US 2010-2014.csv"
#Reading the provided CSV file using pand... | null | Assignment 2 - ETL/B. ETL/ETL.py | ETL.py | py | 3,826 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "psycopg2.connect",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "cs689_utils.log",
... |
534968125 | from pyspark.sql import SparkSession
from pyspark.sql.functions import explode
from pyspark.sql.types import IntegerType, StringType, StructType
from pyspark.sql.functions import explode
from pyspark.sql.functions import split
from pyspark.sql.functions import desc, col
#import org.apache.spark.sql.functions._
spark = ... | null | adminmgr/media/code/A3/task2/BD_543_565_624_oEbQuTH.py | BD_543_565_624_oEbQuTH.py | py | 2,143 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pyspark.sql.SparkSession.builder.appName",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.SparkSession.builder",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pyspark.sql.SparkSession",
"line_number": 8,
"usage_type": "... |
577901505 | import pygame
def doRender(main):
black = 0, 0, 0
main.screen.fill(black)
main.backgroundScroller.draw(main.screen)
#DrawScore
main.screen.blit(main.scoreSurface, main.fontScorePos)
#Draw projectiles
for projectile in main.projectilesList:
projectile.... | null | src/render.py | render.py | py | 590 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pygame.display.flip",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 27,
"usage_type": "attribute"
}
] |
476631368 |
# ----------------------------- #
# --- Setup the environment --- #
# ----------------------------- #
# --- Create the agents and the environment --- #
# Import the simulation environment and agents
from abmarl.sim.components.examples.hunting_and_foraging import HuntingForagingEnv, \
HuntingForagingAgent, FoodAg... | null | examples/hunting_foraging_demo.py | hunting_foraging_demo.py | py | 7,046 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "abmarl.sim.components.examples.hunting_and_foraging.FoodAgent",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "abmarl.sim.components.examples.hunting_and_foraging.HuntingForagingAgent",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "abmarl.sim... |
497865891 | import argparse
import json
import os
import sys
import datetime
import time
import database as db
import tornado.httpserver
import tornado.ioloop
import tornado.web
from tornado import gen
APP_DIRECTORY = os.path.dirname(os.path.abspath(__file__))
STATIC_DIRECTORY = os.path.abspath(os.path.join(APP_DIRECTORY, 'stat... | null | archive_api_server/server.py | server.py | py | 20,546 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.dirname",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"l... |
581376946 | from PyQt5.QtCore import Qt
vkeyToAndroidMaps = {
Qt.Key_Escape: 'KEYCODE_ESCAPE',
Qt.Key_Backspace: 'KEYCODE_DEL',
Qt.Key_Tab: 'KEYCODE_TAB',
Qt.Key_Return: 'KEYCODE_DPAD_CENTER',
Qt.Key_Shift: 'KEYCODE_SHIFT_LEFT',
Qt.Key_Up: 'KEYCODE_DPAD_UP',
Qt.Key_Down: 'KEYCODE_DPAD_DOWN',
Qt.Key... | null | keymap.py | keymap.py | py | 390 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "PyQt5.QtCore.Qt.Key_Escape",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtCore.Qt",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtCore.Qt.Key_Backspace",
"line_number": 5,
"usage_type": "attribute"
},
{
"a... |
324626753 | """
Extraction of raw text from lxml tree and text summarization
"""
from itertools import combinations
import snowballstemmer
import networkx as nx
from wanish import lang_identifier
from wanish.tokenizers import PunktSentenceTokenizer, RegexpTokenizer
LANG_CODES = {
'da': 'danish',
'de': 'german',
'en'... | null | wanish/summarizer.py | summarizer.py | py | 3,031 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "wanish.tokenizers.PunktSentenceTokenizer",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "wanish.tokenizers.PunktSentenceTokenizer",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "wanish.tokenizers.RegexpTokenizer",
"line_number": 68,
... |
35930012 | """Widgets for QtRender.
These were created for QtRender, but they are generic. Maybe we could switch
from these to something more napari-standard. These were just created
naively without knowing too much about napari's Qt code.
"""
from typing import Callable
from qtpy.QtCore import Qt
from qtpy.QtWidgets import (
... | null | napari/_qt/experimental/render/qt_render_widgets.py | qt_render_widgets.py | py | 5,279 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "qtpy.QtWidgets.QWidget",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "typing.Callable",
"line_number": 47,
"usage_type": "name"
},
{
"api_name": "qtpy.QtWidgets.QHBoxLayout",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "qtp... |
332571014 | import numpy as np
import keras
import tensorflow
from keras.models import Sequential
from keras.layers import Dense, Dropout, Activation
from keras.optimizers import SGD, Adam
import matplotlib.pyplot as plt
from args import parser
import os
import time
from sklearn.model_selection import train_test_split, StratifiedK... | null | NN_train_Xception_features.py | NN_train_Xception_features.py | py | 2,321 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "args.parser.parse_args",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "args.parser",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "args.Save_model_path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "keras.__... |
383702016 | # Copyright (C) 2016 Google Inc.
# Licensed under http://www.apache.org/licenses/LICENSE-2.0 <see LICENSE file>
from datetime import datetime
import collections
import logging
from sqlalchemy.sql.expression import tuple_
from ggrc import db
from ggrc import models
from ggrc.automapper.rules import rules
from ggrc.log... | null | src/ggrc/automapper/__init__.py | __init__.py | py | 9,739 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.namedtuple",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "ggrc.utils.benchmark",
"line_number": 40,
"usage_type": "name"
},
{
"api_name": "g... |
10623096 | from recipient_object import recipientTypes
import json
from currency_functions import getCurrencies
def ApiPersonalDetails():
personalDetails = {
'orderNumber': 'Order number',
'email': 'Email',
'firstName': 'First name',
# 'middleName': 'Middle name(s)',
'lastName': 'Last... | null | recipient_model.py | recipient_model.py | py | 72,843 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "json.loads",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 28,
... |
109080771 | import logging
from logging.handlers import RotatingFileHandler
http_formatter = logging.Formatter(
"%(asctime)-15s - %(user)-10s - %(levelname)s %(message)s")
try:
http_handler = RotatingFileHandler("pppoe_worker.log",
maxBytes=1024 * 1024 * 100,
... | null | pppoe-checker/Modules/logger.py | logger.py | py | 658 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.Formatter",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "logging.handlers.RotatingFileHandler",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name":... |
254826567 | from PIL import Image
import os
src='Data/' #源文件夹
dst='CropData/'#目的文件夹
size=32#单张图片大小(32*32)
cnt=0
imgs=os.listdir(src)
for opath in imgs:
path=src+opath
print(path)
img=Image.open(path)
sz=img.size
print(sz)
for i in range(sz[0]//size):
for j in range(sz[1]//size):
crop_b... | null | cropImage.py | cropImage.py | py | 587 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.listdir",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 11,
"usage_type": "name"
}
] |
607285360 | import multiprocessing
import threading
class PeaType(type):
"""Type of :class:`Pea`, metaclass of :class:`BasePea`."""
_dct = {}
def __new__(cls, name, bases, dct):
"""
Create and register a new class with this meta class.
:param name: name of the :class:`Pea`
:param ... | null | .history/gRPC_jina/blueprint/basepea_20210415232510.py | basepea_20210415232510.py | py | 1,501 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "threading.Thread",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "multiprocessing.Process",
"line_number": 35,
"usage_type": "attribute"
}
] |
202214703 |
import cv2
import numpy as np
img = cv2.imread('/home/manju/Downloads/MSIL/ushas_Mastic_Sealant_04_16/img6_msil_14_5_16_04_2021_26 (cp).jpg')
img = cv2.imread('/home/manju/Downloads/MSIL/Ex/break4.jpg')
img = cv2.resize(img,(800,500))
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
ret,thr = cv2.threshold(gray,55,255,... | null | demo2.py | demo2.py | py | 415 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cv2.imread",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.resize",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 10,
... |
336755080 | import cv2
import numpy as np
import matplotlib
matplotlib.use('TkAgg')
import matplotlib.pyplot as plt
# from matplotlib import pyplot as plt
img = cv2.imread('challan.png', 0)
edges = cv2.Canny(img,100,200)
plt.subplot(121),plt.imshow(img,cmap = 'gray')
plt.title('Original Image'), plt.xticks([]), plt.yticks([])
p... | null | text_kaggle/edge_detection.py | edge_detection.py | py | 1,294 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.use",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.Canny",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplot",
"li... |
336505034 | # -*- coding:utf-8 -*-
'''
功能说明：SQL查询分析处理实现
创建者：fujunwei
创建时间：2011-4-18
'''
import logging.config
import Pyro.core
import uuid, time
from Queue import Queue
from com.zctt.dmp import sys
from com.zctt.dmp.query import IQueryService, QueryStatus, ResultSet
from com.zctt.dmp.sql.sqlutils import SQLParser
from com.zctt.d... | null | service/com/zctt/iaap/paf/contrib/sql/query.py | query.py | py | 10,730 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "Pyro.core.core",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "Pyro.core",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "Pyro.core.core.ObjBase.__init__",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "Pyro.co... |
312150967 | from django.conf.urls import url
from .views import (
ThirdPartyList,
ClientCreate,
ClientDetail,
ClientUpdate,
ArtistCreate,
ArtistDetail,
ArtistUpdate,
CharityCreate,
CharityDetail,
CharityUpdate,
VenueCreate,
VenueDetail,
VenueUpdate
)
app_name = 'thirdparty'
url... | null | thirdparty/urls.py | urls.py | py | 1,415 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.conf.urls.url",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "views.ThirdPartyList.as_view",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "views.ThirdPartyList",
"line_number": 21,
"usage_type": "name"
},
{
"api_name":... |
197118048 | import datetime
import sys
import pandas as pd
import csv
import os
import sqlite3
from sqlite3 import Error
def crearTabla():
try:
with sqlite3.connect("Evidencia.db") as conn:
c = conn.cursor()
c.execute("CREATE TABLE IF NOT EXISTS cosmetiqueria (clave INTEGER PRIMAR... | null | evidencia 3 definitivo en trabajo.py | evidencia 3 definitivo en trabajo.py | py | 5,982 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sqlite3.connect",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sqlite3.Error",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "sys.exc_info",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"lin... |
342086537 |
from django.conf.urls import url
from django.contrib import admin
from .views import (
AnswerListAPIView,
AnswerCreateAPIView,
AnswerDetailAPIView,
AnswerDeleteAPIView,
AnswerUpdateAPIView,
)
urlpatterns = [
url(r'^$', AnswerListAPIView.as_view(), name="Answers"),
url(r'^create/$', ... | null | src/answer/api/urls.py | urls.py | py | 609 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.conf.urls.url",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "views.AnswerListAPIView.as_view",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "views.AnswerListAPIView",
"line_number": 14,
"usage_type": "name"
},
{
"api_... |
371514256 | #!/usr/bin/env python
'''
@author Luke Campbell <LCampbell@ASAScience.com>
@file test_index_bootstrap.py
@date 05/03/12 10:26
@description DESCRIPTION
'''
from pyon.core.exception import BadRequest
from pyon.util.containers import DotDict
from pyon.core.bootstrap import get_sys_name
from pyon.util.unit_test import Pyon... | null | ion/processes/bootstrap/test/test_index_bootstrap.py | test_index_bootstrap.py | py | 3,743 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pyon.public.CFG.get_safe",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pyon.public.CFG",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "pyon.util.unit_test.PyonTestCase",
"line_number": 28,
"usage_type": "name"
},
{
"api_nam... |
459509652 | from builtins import print
from PySide2 import QtCore, QtWidgets, QtGui
try:
_fromUtf8 = QtCore.QString.fromUtf8
except AttributeError:
def _fromUtf8(s):
return s
try:
_encoding = QtWidgets.QApplication.UnicodeUTF8
def _translate(context, text, disambig):
return QtWidgets.QApplicatio... | null | Final.py | Final.py | py | 11,918 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "PySide2.QtCore.QString",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "PySide2.QtCore",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "PySide2.QtWidgets.QApplication",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_... |
428386292 | from __future__ import division
from kivy.lang import Builder
from kivy.properties import StringProperty
from kivy.app import App # for the main app
from kivy.clock import Clock # clock to schedule a method
from jnius import autoclass
from android.runnable import run_on_ui_thread
PythonActivity = autoclass('org.kivy.... | null | main old.py | main old.py | py | 5,128 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "jnius.autoclass",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "kivy.app.App",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "kivy.properties.StringProperty",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "kivy.prope... |
338727617 | import numpy as np
import pydicom
import cv2
from FeatureExtraction.ImageExtraction import *
from DicomIO.Image import *
class MetaImage:
def writeMetaimage(self,imageFiles):
slices = []
for imageFile in imageFiles:
data = pydicom.dcmread(imageFile)
imageExtracti... | null | FeatureExtraction/MetaImage.py | MetaImage.py | py | 5,561 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pydicom.dcmread",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_RGB2BGR",
"lin... |
591826997 | import flask_restful
from webargs import fields
from webargs.flaskparser import use_kwargs
from bookie import app
from bookie import dm
from bookie import models
class Api:
_api_path = '/api/'
def __init__(self, app):
self.api = flask_restful.Api(app)
self.setup_resources()
def setup_re... | null | bookie/routing/api.py | api.py | py | 3,936 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask_restful.Api",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "bookie.app",
"line_number": 14,
"usage_type": "argument"
},
{
"api_name": "flask_restful.Resource",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "bookie.d... |
1060293 | # -*- coding: utf-8 -*-
from celery.task import task
import urllib.request
from bs4 import BeautifulSoup
from crawler.models import Url_list
import time
class Crawler(object):
titles_and_urls = []
def __init__(self):
pass
def jubge_url(self, url):
if url[0:4] == 'http' and url[-5:] == '.... | null | crawler/crawl.py | crawl.py | py | 3,099 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "urllib.request.request.urlopen",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "urllib.request.request",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "urllib.request",
"line_number": 24,
"usage_type": "name"
},
{
"api_nam... |
317060846 | from django.shortcuts import get_object_or_404, render, redirect
from django.core.paginator import EmptyPage, PageNotAnInteger, Paginator
from .choices import price_choices, bedroom_choices, state_choices
from django.contrib.auth.decorators import login_required
from .models import Listing, Eproof, Product
from members... | null | listings/views.py | views.py | py | 18,669 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "rest_framework.response.Response",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "rest_framework.decorators.api_view",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "members.models.Member.objects.filter",
"line_number": 28,
"usage_type... |
321181610 | from django.test import TestCase
from mock import patch
from notifications import models
class SimpleTest(TestCase):
def test_send_notification(self):
with patch('requests.post') as requests_post:
requests_post.return_value.status_code = 200
ret = models.send_notification(
... | null | badges/notifications/tests.py | tests.py | py | 1,606 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.test.TestCase",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "mock.patch",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "notifications.models.send_notification",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": ... |
496932528 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Jan 8 15:49:55 2021
@author: ikaheia1
Function wrapper for plotting the figure or saving it to the destined folder.
"""
import matplotlib.pyplot as plt
import functools
def plot_decorator(func):
@functools.wraps(func)
def wrappe... | null | Source/Utils/plot_decorator.py | plot_decorator.py | py | 1,276 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.pyplot.show",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.savefig",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "ma... |
126233257 | from django import forms
from django.forms import widgets
from app_manage.models import Project,Module
class ProjectForms(forms.Form):
""" 添加项目 """
name = forms.CharField(label='项目名称',
max_length=100,
widget=widgets.TextInput(attrs={'class':'form-control'})... | null | mysite/app_manage/forms.py | forms.py | py | 1,137 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.forms.Form",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "django.forms.CharField",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.forms"... |
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