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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
524547908 | # 《机器学习实战》Logistic学习
"""
为什么用梯度上升？？ 什么需要求最大值？？ 目标函数？？
"""
# -*- coding: utf-8 -*-
from numpy import *
import matplotlib.pyplot as plt
# from math import exp
def loadDataSet():
"""
testSet.txt 下载自https://blog.csdn.net/niutianzhuang/article/details/79781353
"""
dataMat = []
labelMat = []
wi... | null | src/logistic_study.py | logistic_study.py | py | 4,967 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 121,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 121,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.xlabel",
"line_number": 130,
"usage_type": "call"
},
{
"api_name":... |
117514910 | import tensorflow as tf
from Unet3D.Adaptive import train_isensee2017_EWC as train_isensee2017
import gpustat
import time
import os
import argparse
import numpy as np
import pdb
from tensorflow.python.client import device_lib
# def get_free_gpus(num, except_gpu=None):
# gpu_list = gpustat.GPUStatCollection.new_qu... | null | Parsing.py | Parsing.py | py | 8,658 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "tensorflow.python.client.device_lib.list_local_devices",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "tensorflow.python.client.device_lib",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "Unet3D.Adaptive.train_isensee2017_EWC.config.update",
... |
320102304 | import json
import os
class Account:
filepath = "data.json"
def __init__(self, username):
self.username = username
self.pin = None
self.balance = 0.0
self.data = {}
self.load()
def load(self):
try:
with open(self.filepath, 'r') as json_file:... | null | terminalTeller2/account.py | account.py | py | 1,483 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "json.load",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 35,
"usage_type": "call"
}
] |
243525772 | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator 2.3.33.0
# ... | null | venv/Lib/site-packages/azureml/_restclient/models/dataset_lineage.py | dataset_lineage.py | py | 1,450 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "msrest.serialization.Model",
"line_number": 15,
"usage_type": "name"
}
] |
627793087 | import pygame
from jingling import *
class PlaneGame(object):
def __init__(self):
print('初始化窗口')
# 1. 创建游戏的窗口
self.screen = pygame.display.set_mode(SCREEN_RECT.size)
# 2. 创建游戏的时钟
self.clock = pygame.time.Clock()
# 3. 调用私有方法，精灵和精灵组的创建
self.__create_sprites()
pygame.time.set_timer(CREATE_ENEMY_EVENT,1000... | null | 08day/zhulei.py | zhulei.py | py | 1,653 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pygame.display.set_mode",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "pygame.time.Clock",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pygame.tim... |
581976321 | from django.conf.urls import url
from . import views
app_name = 'emerald'
urlpatterns = [
url(r"^$", views.index, name="index"),
url(r"^(?P<foo_id>[0-9]+)/$", views.foobar, name="foobar"),
]
| null | emerald/urls.py | urls.py | py | 203 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.conf.urls.url",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 10,
"usage_type": "call"
}
] |
356281253 | import json
import urllib.request
import re
from Current_openweather_features import Current_openweather_features
def lect_infos(fich):
lect=open(fich,'r')
datas=lect.readlines()
api_key=re.split('=',re.split('\n',datas[0])[0])[1]
lang=re.split('=',re.split('\n',datas[1])[0])[1]
units=re.split('=',re.... | null | openweather_tests/citydefzip_examples.py | citydefzip_examples.py | py | 720 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "re.split",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "re.split",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "re.split",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "Current_openweather_features.Current_openw... |
35260093 | from django.shortcuts import render, get_object_or_404
from .models import Category, Product, CarouselImages, Notes
from django.db.models import Q
import re
from cart.forms import CartAddProductForm
def index(request):
first_carousel_image = CarouselImages.objects.all()[0]
carousel_images = CarouselImages.obje... | null | shop/views.py | views.py | py | 1,910 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "models.CarouselImages.objects.all",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "models.CarouselImages.objects",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "models.CarouselImages",
"line_number": 8,
"usage_type": "name"
},
... |
278145691 | from django.shortcuts import render
from django.views.generic import TemplateView
from django.http import HttpResponseRedirect
import pandas as pd
from datetime import datetime
from django.utils import timezone
from .models import Submission,Submission_files
from online_judge.settings import *
from django.core.files.st... | null | online_judge/practice/utils.py | utils.py | py | 15,038 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "subprocess.call",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "subprocess.call",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "subprocess.call",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
... |
318459058 | import os
import platform
from pathlib import Path
__version__ = "0.1.0"
try:
CLIENT_ID = os.environ["PLAID_CLIENT_ID"]
SECRET = os.environ["PLAID_SECRET"]
PUBLIC_KEY = os.environ["PLAID_PUBLIC_KEY"]
ENV = os.environ["PLAID_ENV"]
CHASE_TOKEN = os.environ["CHASE_ACCESS_TOKEN"]
except KeyError:
... | null | plaid_lukepafford/__init__.py | __init__.py | py | 760 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.environ",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_... |
503969933 | from datetime import datetime
from flask import request
from flask_jwt_extended import get_jwt_identity, create_access_token
from sqlalchemy import or_, and_
from project.server import app
from project.server.controllers.v1 import errors
from project.server.helpers.auth import send_confirmation_email, get_auth_token
... | null | g/docs/source/project/server/handlers/database/users.py | users.py | py | 8,408 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.request.get_json",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "flask.request",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "project.server.models.auth_user.User.query.filter",
"line_number": 23,
"usage_type": "call"
},
{... |
604979962 | import asyncio
import json
import pytest
import vcr
from jupyterlab_thredds.crawler import TDSCrawler
@pytest.fixture
def expected_crawl_result():
with open('tests/fixtures/crawler.expected.json') as f:
expected_datasets = json.load(f)
return expected_datasets
@pytest.mark.asyncio
@vcr.use_cas... | null | tests/test_crawler.py | test_crawler.py | py | 682 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "json.load",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "jupyterlab_thredds.crawler.TDSCrawler",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "a... |
501772275 | from django.shortcuts import render, redirect, HttpResponse
from django.contrib import messages
from .models import *
# Create your views here.
# the index function is called when root is visited
def index(request):
context = {
'users' : User.objects.all().values()
}
return render(request, 'first_app/index.... | null | main/apps/first_app/views.py | views.py | py | 1,943 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.shortcuts.render",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "django.contrib.messages.error",
"line_number": 23,
"usage_type": "call"
},
{
"api... |
431875297 | from flask import Flask, render_template
from config import Configuration
from flask_sqlalchemy import SQLAlchemy
from flask import request, url_for, redirect, jsonify
from wtforms import Form, StringField, TextAreaField, DateTimeField, BooleanField, IntegerField
app = Flask(__name__)
app.config.from_object(Configurat... | null | app.py | app.py | py | 2,975 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "config.Configuration",
"line_number": 8,
"usage_type": "argument"
},
{
"api_name": "flask_sqlalchemy.SQLAlchemy",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "wtforms... |
507753126 | # Run:
# MISFIT_PREP_CONFIG="/Users/rosa/VERCE/dispy/dispel4py/test/seismo/misfit/processing.json" python -m dispel4py.new.processor simple dispel4py.test.seismo.misfit.create_misfit_prep -f /Users/rosa/VERCE/dispy/dispel4py/test/seismo/misfit/misfit_input.jsn
#
# Expects an environment variable MISFIT_PREP_CONFIG with... | null | processing_elements/Download_Specfem3d_Misfit_RA/create_misfit_prep_prov.py | create_misfit_prep_prov.py | py | 9,189 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "dispel4py.core.GenericPE",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "dispel4py.core.GenericPE.__init__",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "dispel4py.core.GenericPE",
"line_number": 21,
"usage_type": "name"
},
{
... |
444899432 | import numpy as np
import matplotlib.pyplot as plt
import math
def make_sample_traj(NUM, dt=0.01, a=30.):
"""
make sample trajectory
Parameters
------------
NUM : int
dt : float
a : float
Returns
----------
traj_xs : list
traj_ys : list
"""
DELAY = 2.
traj_xs = ... | null | mpc/extend/traj_func.py | traj_func.py | py | 529 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "math.sin",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.s... |
424466523 | from typing import List
class Solution:
def combinationSum2(self, candidates: List[int], target: int) -> List[List[int]]:
candidates.sort()
self.res = []
self.path = []
def backtracking(ind):
sumup = sum(self.path)
if sumup == target:
self.r... | null | Python/q40.py | q40.py | py | 978 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "typing.List",
"line_number": 5,
"usage_type": "name"
}
] |
648897497 |
import numpy as np
from itertools import permutations
f = open('day9_input.txt')
text = f.readlines()
f.close()
dist = np.zeros((8,8))
perms = permutations(list(range(8)), 8)
row = 0
col = 0
for line in text:
col += 1
if col == 8:
row += 1
col = row + 1
line = line.strip().split(' = ')
... | null | 2015/day9-2.py | day9-2.py | py | 569 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.zeros",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "itertools.permutations",
"line_number": 11,
"usage_type": "call"
}
] |
138578047 | import requests
import pandas as pd
cities = ['서울', '부산', '대구', '인천', '광주', '대전', '울산','경기', '강원', '충북', '충남', '전북', '전남', '경북', '경남', '제주', '세종']
serviceKey = 'M1iN3AHXsY2arykGcomyFyS16TTG5V%2Ftwy%2B1pTToDLK8ottKutqdpbla7Fna9tjr4xMe89FHcSeCzJ4ixfxqFw%3D%3D'
endpoint = 'http://openapi.airkorea.or.kr/openapi/services/r... | null | my_app/services/openair_api.py | openair_api.py | py | 827 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 14,
"usage_type": "call"
}
] |
292403147 | # -*- coding: utf-8 -*-
"""
tests.unit.test_database
------------------------
Database Tests
:copyright: (c) 2020 by John te Bokkel
:license: BSD, see LICENSE for more details
"""
import pytest
import datetime
from sqlalchemy import func
from log_it.extensions import db
from log_it.user.model i... | null | tests/unit/test_database.py | test_database.py | py | 2,662 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pytest.fixture",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "pytest.mark.parametrize",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_number": 48,
"usage_type": "attribute"
},
{
"api_name": "log_it.log.mo... |
169848977 | import json
import os.path
import pickle
import re
import toml
_ROOT = os.path.dirname(os.path.dirname(os.path.realpath(__file__)))
_INPUT_FILE = os.path.join(_ROOT, 'resources', 'versification', 'versification.toml')
_OUTPUT_FILE = os.path.join(_ROOT, 'resources', 'versification', 'versification.pickle')
def run()... | null | scripts/06_versification.py | 06_versification.py | py | 2,648 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.path.dirname",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "os.path.path.realpath",
... |
117200679 | """
Code to Train a Tensorflow Classifier for mountain bikes and road bikes
Author: Hariharan Ramshankar
"""
import numpy as np
import matplotlib.pyplot as plt
import tensorflow as tf
import argparse
import os
import glob
import cv2
#from tensorflow.python.framework import ops
#from tensorflow.python.framework impo... | null | train.py | train.py | py | 6,220 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.name",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_... |
62756800 | import vapoursynth as vs
from typing import Any, Dict, Optional
import vsutil
import lvsfunc
core = vs.core
def nnedi3_rpow2_placebo(clip, rfactor=2, width=None, height=None, correct_shift=True,
kernel="spline36", nsize=0, nns=3, qual=None, etype=None, pscrn=None,
opt=True, int16_p... | null | Dorohedoro.2020/S01/Extra/dorohedoro.py | dorohedoro.py | py | 9,189 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "vapoursynth.core",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "vapoursynth.VideoNode",
"line_number": 116,
"usage_type": "attribute"
},
{
"api_name": "lvsfunc.kernels.Bilinear",
"line_number": 117,
"usage_type": "call"
},
{
"api_na... |
518525943 | print(__doc__)
# Author: Peter Prettenhofer <peter.prettenhofer@gmail.com>
#
# License: BSD 3 clause
import numpy as np
import matplotlib.pyplot as plt
import csv
import pdb
from sklearn import svm
from sklearn import datasets
from sklearn.utils import shuffle
from sklearn.metrics import mean_squared_error
from fil... | null | Assignment 1/cs7641-master/supervised/svm/svm_digits.py | svm_digits.py | py | 1,867 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "filehelper.Images",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sklearn.utils.shuffle",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.uint16",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "numpy.uint1... |
552544119 | # -*- coding: utf-8 -*-
from datetime import timedelta
from uuid import uuid4
from pyramid.security import Allow
from schematics.exceptions import ValidationError
from schematics.transforms import blacklist, whitelist
from schematics.types import StringType, BaseType, EmailType, BooleanType, MD5Type
from schematics.ty... | null | src/openprocurement/framework/electroniccatalogue/models.py | models.py | py | 11,466 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "openprocurement.api.models.Classification",
"line_number": 43,
"usage_type": "name"
},
{
"api_name": "schematics.types.StringType",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "schematics.types.StringType",
"line_number": 45,
"usage_type": "cal... |
48499547 | # Activate the license using serial number - used for serial license testing
import subprocess
import config
import render_test
def activate_license(serial_num):
cmd = config.ConfigParams.license_path + ' --activate ' + serial_num
print(cmd)
ret_val = subprocess.call(cmd)
render_test._run_render_test... | null | activate_license.py | activate_license.py | py | 694 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "config.ConfigParams",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "subprocess.call",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "render_test._run_render_test",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "... |
404564358 | import requests,json,random
class YunPian(object):
def __init__(self,api_key):
self.api_key = api_key
self.signle_send_url = 'https://sms.yunpian.com/v2/sms/single_send.json'
def send_code(self,code,mobile,send_type):
parmas = {
"apikey": self.api_key,
"mobile":... | null | signUppObjects/utils/send_code.py | send_code.py | py | 1,102 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.post",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "random.sample",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "random.sample",
"line_numb... |
278177590 | import json
import config
import os
data = {
"regionMapping": {}
}
def createRegionMapping(newLayerName, description, shortName, nameOrCode):
return {
"layerName": newLayerName,
"description": description,
"server": f"http://localhost:8000/{newLayerName}/{{z}}/{{x}}/{{y}}.pbf",
... | null | createRegionMapping.py | createRegionMapping.py | py | 2,500 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "config.desired_outputs",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "config.countrie... |
572165468 | # -*- coding: utf-8 -*-
# @Author: lshuns
# @Date: 2020-05-01 21:13:39
# @Last Modified by: lshuns
# @Last Modified time: 2020-05-12 09:41:00
### Levin method for solving highly oscillatory one-dimensional integral
###### Target form: int_0^Infinity dx x J0(rx) exp(i G(x))
###### First do variable change (x=x/(1-... | null | .ipynb_checkpoints/Levin_final-checkpoint.py | Levin_final-checkpoint.py | py | 18,599 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.array",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number":... |
361997238 | from bs4 import BeautifulSoup
from urllib.request import urlopen
import urllib.error
from translator import Translators as T
from supp_funcs import today
import json
from conf.marathonSelectorFuncs import FUNCS_M as selectors
class Fetcher_Marathon_Football:
class HrefsFootball:
def __init__(self, url):... | null | fetcherMarathon.py | fetcherMarathon.py | py | 3,764 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "urllib.request.urlopen",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "urllib.request.error",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "urllib.request",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "urlli... |
205568772 | """
test_txn.py
implements test case for transactions
"""
import grpc
import json
import logging
import os
import random
import time
import unittest
from pydgraph import client
import test_acct_upsert as integ
class TestClientTxns(integ.DgraphClientIntegrationTestCase):
"""Transactions test cases."""
def s... | null | tests/test_txn.py | test_txn.py | py | 11,906 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "test_acct_upsert.DgraphClientIntegrationTestCase",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "json.loads",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 62,
"usage_type": "call"
},
{
"api_n... |
319984297 | from django.shortcuts import render
from django.shortcuts import render, get_object_or_404
from django.contrib import auth
from django.contrib.auth.decorators import login_required
# Create your views here.
from django.http import HttpResponse, HttpResponseRedirect
from vminfo.models import VCInfo, VMList
from django.... | null | tools/vminfo/views.py | views.py | py | 2,553 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "vminfo.models.VCInfo.objects.all",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "vminfo.models.VCInfo.objects",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "vminfo.models.VCInfo",
"line_number": 14,
"usage_type": "name"
},
... |
75877027 | """
Soft Actor-Critic Algorithms and Applications:
https://arxiv.org/abs/1812.05905
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor:
https://arxiv.org/abs/1801.01290
"""
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from m... | null | mani_skill_learn/methods/mfrl/sac.py | sac.py | py | 4,619 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "mani_skill_learn.utils.torch.BaseAgent",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "mani_skill_learn.networks.build_model",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "mani_skill_learn.networks.build_model",
"line_number": 42,
"... |
538376506 | import logging
from database import Database
logging.basicConfig(level="DEBUG")
logger = logging.getLogger(__name__)
class EtlScript:
def __init__(self):
self.database_conn = Database("acme")
self.header_file = "./headers.txt"
self.data_file = "./data.csv"
self.out_file = "./outp... | null | src/main.py | main.py | py | 1,418 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.basicConfig",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "database.Database",
"line_number": 11,
"usage_type": "call"
}
] |
566408794 | from kappa.dao.DAO import DAO
from kappa.controllers.Controller import Controller
from kappa.dao.ConnectionManager import ConnectionManager
from kappa.models.ImageModel import ImageModel
from kappa.dao.ImageDAO import ImageDAO
import os
import glob
from PIL import Image
import time
class ImageController(Controller):
... | null | src/kappa/controllers/ImageController.py | ImageController.py | py | 1,607 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "kappa.controllers.Controller.Controller",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "kappa.dao.ImageDAO.ImageDAO",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "kappa.dao.ConnectionManager.ConnectionManager",
"line_number": 30,
"u... |
549788689 | # -*- coding: utf-8 -*-
import scrapy, json
from douyu.items import DouyuItem
class DouyuImagesSpider(scrapy.Spider):
name = 'douyu_images'
allowed_domains = ['douyucdn.cn']
base_url = 'http://capi.douyucdn.cn/api/v1/getVerticalRoom?limit=20&offset='
offset = 0
start_urls = [base_url + str(offset)... | null | scrapy/day03/douyu/douyu/spiders/douyu_images.py | douyu_images.py | py | 1,140 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "scrapy.Spider",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "json.loads",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "douyu.items.DouyuItem",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "scrapy.Request",
... |
235069590 | #!/usr+*/bin/env python389*-
# -*- coding: utf-8 -*-
"""
Created on Sat Feb 2 15:23:22 2019
@author: austin
"""
import numpy as np
from numpy import *
from keras.preprocessing.image import ImageDataGenerator,img_to_array, load_img
from PIL import Image
import os
#i hju78ikl.o/p=*-+l0'
listing = os.listdir('/home/... | null | data augmentation.py | data augmentation.py | py | 1,156 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.listdir",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "keras.preprocessing.image.ImageDataGenerator",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 31,
"usage_type": "call"
},
{
"api_name":... |
202661435 | #!/usr/bin/env python
# -*- coding:utf-8 -*-
#-----------------------------------------------------------------------------
# Purpose: Use basic frame. Note, in common, not directely use Frame, but use it derive.
#-----------------------------------------------------------------------------
import wx
class App(wx.App... | null | use_basic_frame_46.py | use_basic_frame_46.py | py | 608 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "wx.App",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "wx.Frame",
"line_number": 12,
"usage_type": "call"
}
] |
478836887 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
from crypto import (PrivateKey, PublicKey)
from address import Address
from script import *
from transaction import Transaction
from constants import Constants
if __name__ == '__main__':
import sys
if sys.version_info < (3, 5):
sys.exit("Error: Must... | null | multisig.py | multisig.py | py | 4,643 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.version_info",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "crypto.PublicKey.from_prvkey",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "crypto.Pu... |
107414656 | import torch
import torch.nn.functional as F
import torchtext
from torch.autograd import Variable
import numpy as np
from tqdm import tqdm
def vis_display(vis, vis_windows, x_coord, train_l, MAP):
if vis_windows is None:
vis_windows = {}
vis_windows['train_ce'] = vis.line(Y=torch.Tensor([float(2**... | null | HW3/utils/postprocess.py | postprocess.py | py | 1,492 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torch.Tensor",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.Tensor",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "torch.Tensor",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.Tensor",
"line_numbe... |
625278596 | import numpy as np
import numpy.matlib as npm
from scipy.interpolate import interp1d
def processTrajectory(trajectory , endTime=1.0, timeStep=0.001):
trajectory = np.vstack([trajectory, npm.repmat(trajectory[-1,:],20,1)])
dt = timeStep
time_stamps = np.arange(0, endTime, timeStep)
trajData = np... | null | dcp_python/scripts/processTrajectory.py | processTrajectory.py | py | 684 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.vstack",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.matlib.repmat",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.matlib",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "numpy.arange",
"line_n... |
136954259 | import os
import argparse
import logging
import matplotlib.pyplot as plt
import pandas as pd
import json
import vcf
from matplotlib import pyplot as plt
import tensorflow as tf
import numpy as np
from time import time
from skopt import gp_minimize
from skopt.space import Real, Integer
from skopt.utils import use_named... | null | svchannels/sandbox/python/nested_locso_cv_per_chrom.py | nested_locso_cv_per_chrom.py | py | 21,164 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.join",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.pardir",
"line_numbe... |
391582792 | import nose
from lazyflow.graph import Graph, Operator, InputSlot, OutputSlot
from lazyflow import stype
from lazyflow import operators
import numpy
class OpS(Operator):
name = "OpA"
Output1 = OutputSlot()
Output2 = OutputSlot()
Output3 = OutputSlot()
Output4 = OutputSlot(level = 1)
def __ini... | null | tests/testSlotCallbacks.py | testSlotCallbacks.py | py | 7,432 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "lazyflow.graph.Operator",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "lazyflow.graph.OutputSlot",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "lazyflow.graph.OutputSlot",
"line_number": 11,
"usage_type": "call"
},
{
"api_na... |
220430989 | from keras.models import Sequential
from keras.layers import Dense, Dropout, Flatten, Activation, BatchNormalization
from keras.layers.convolutional import Conv2D, MaxPooling2D
from keras.utils import np_utils
from tensorflow.python.keras._impl.keras.datasets.cifar10 import load_data
batch_sz = 32
num_classes = 10
epo... | null | TensorFlow/pt_2/cnn/cnn_cifar10_keras.py | cnn_cifar10_keras.py | py | 2,781 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "tensorflow.python.keras._impl.keras.datasets.cifar10.load_data",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "keras.utils.np_utils.to_categorical",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "keras.utils.np_utils",
"line_number": 20,
... |
295952298 | #importing some useful packages
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
import numpy as np
import cv2
import math
from moviepy.editor import VideoFileClip
from IPython.display import HTML
from shapely.geometry import Point
from shapely.geometry.polygon import Polygon
# not used till now
def le... | null | project1.py | project1.py | py | 13,295 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "cv2.cvtColor",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_RGB2GRAY",
"line_number": 44,
"usage_type": "attribute"
},
{
"api_name": "cv2.Canny",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "cv2.GaussianBlur",
... |
311161395 | from __future__ import print_function, division, absolute_import
import ray
from .parallel import AutoBatchingMixin, ParallelBackendBase
class RayBackend(ParallelBackendBase, AutoBatchingMixin):
"""
Ray backend uses ray, a system for scalable distributed computing.
more info are available here: htt... | null | joblib/_ray.py | _ray.py | py | 2,315 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "parallel.ParallelBackendBase",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "parallel.AutoBatchingMixin",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "ray.init",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "ray.re... |
459339543 | # -*- encoding: utf-8 -*-
from myadmin.admin import admin_site
from django.contrib import admin
from .models import *
# Register your models here.
class CallbackAdmin(admin.ModelAdmin):
list_per_page = 10
list_display = ('callback_name', 'callback_phone','status', 'called_at',)
filter_fields = ('callback_n... | null | home/admin.py | admin.py | py | 1,596 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 14,
"usage_type": "attribute"
... |
134411404 | from collections import deque
from typing import List, Deque
# Definition for a binary tree node.
class TreeNode:
def __init__(self, x):
self.val = x
self.left = None
self.right = None
class Solution:
# solution 1
def levelOrder(self, root: TreeNode) -> List[List[int]]:
a... | null | binary_tree/traversal/102_binary_tree_level_order_traversal.py | 102_binary_tree_level_order_traversal.py | py | 1,650 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "typing.List",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "typing.Deque",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "collections.deque",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_nu... |
130789952 | import torch
def trim_episodes_trans(trajs, orig_trajs):
"""
Stops the episodes on the first episode the goal is found.
"""
if "ep_found_goal" not in trajs:
return trajs
done = trajs["done"].float()
obs = trajs["obs"].float()
next_obs = trajs["next_obs"].float()
actions = trajs... | null | rlf/benchmarks/il/utils.py | utils.py | py | 1,494 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torch.ones",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "torch.stack",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "torch.stack",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "torch.stack",
"line_number": 4... |
32460427 | from __future__ import print_function
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.backends.cudnn as cudnn
import torchvision.transforms as transforms
import torchvision.datasets as dst
from torch.utils.data import Dataset
import argparse
import os
import time
from util import Averag... | null | train_cinic.py | train_cinic.py | py | 25,503 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 50,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
... |
496973388 | # Default imports
import scipy.stats as stats
import pandas as pd
df = pd.read_csv('data/house_pricing.csv')
# Enter Code Here
def t_statistic(data):
# considering two tailed t-test and confidence interval given is 90%
# as we are trying with null hypothesis of
# "The mean of Living area of houses in Old... | null | q03_t_test/build.py | build.py | py | 861 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.read_csv",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "scipy.stats.ttest_1samp",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "scipy.stats",
"line_number": 19,
"usage_type": "name"
}
] |
242857926 | from datetime import datetime
import logging
#logger.propagate = False, if logging disabled
logging.basicConfig(level=logging.DEBUG, format='%(asctime)s - %(levelname)s - %(message)s')
# If one wants to stop console output, try:
# logging.disable(logging.DEBUG)
# Sample Logging execution
# logging.debug(... | null | Database/Reminder/reminder.py | reminder.py | py | 3,890 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.basicConfig",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "logging.debug",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "logging.debug",
... |
490088316 | import pandas as pd
import torch
from torch.utils.data import Dataset, DataLoader, sampler
import torch.nn as nn
import numpy as np
import itertools
class Vocabulary(object):
"""Class to process text and extract vocabulary for mapping"""
def __init__(self, tokens_dict={}, frequencies_dict={}):
... | null | Programs/16-pytorch-back-to-basics/NLPUtils/WordVectors.py | WordVectors.py | py | 6,010 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.array",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "itertools.compress",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "torch.utils.data.Dataset",
"line_number": 79,
"usage_type": "name"
},
{
"api_name": "itertools.cha... |
410190590 | import sys
import datetime
def getMaxLength(s, s1, s2):
max_l = 0
for i in range(len(s1)):
l1 = len(s1) - i
for j in range(len(s2)):
l2 = len(s2) - j
k = 0
l = 0
while l < min(l1, l2):
if s1[i + l] != s2[j + l]:
... | null | hackerrank/substringdiff.py | substringdiff.py | py | 1,780 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "datetime.datetime.now",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 69,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.now",
"line_number": 76,
"usage_type": "call"
},
{
"api_name": "da... |
167367079 | from rest_framework import serializers
from rest_framework.serializers import SerializerMethodField
from api.models.work import Work
from api.models.size import Size
from api.models.color import Color
from api.models.genre import Genre, SubGenre
from api.models.user import UserDetail
from api.models.favorite import Fa... | null | api/serializers/work.py | work.py | py | 2,314 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "rest_framework.serializers.SerializerMethodField",
"line_number": ... |
123706639 | import pytest, time
def solution(A, K, L):
total_trees = len(A)
if K + L > total_trees:
return -1
if K + L == total_trees:
apples = [int(x) for x in A]
sum = 0
for amount in apples:
sum += amount
return sum
if K + L < total_trees:
apples_a... | null | 3_apple_trees.py | 3_apple_trees.py | py | 1,728 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "time.time",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "pytest.main",
"line_number": 79,
"usage_type": "call"
}
] |
218127086 | __author__ = 'giulio'
import pandas as pd
import numpy as np
import math
from joblib import Parallel, delayed, cpu_count
import sklearn
import sklearn.cluster
import os
import random
from tempfile import mkstemp
from shutil import move
from os import remove, close
# TODO: separa brake e acceleration e... | null | data/external/repositories_2to3/147276/axa-drivers-telematics-analysis-master/utils.py | utils.py | py | 9,068 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.linspace",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"li... |
610725872 | from django.test import TestCase
from scrapes import models
from scrapes.managers import RRLChapterScraper
from novels import models as novel_models
import logging
rrl_chapter = RRLChapterScraper()
class ParseChapterTestCase(TestCase):
fixtures = ["2018-10-17.json"]
parser_id = int
@classmethod
def ... | null | src/scrapes/tests/test_chapter_parser.py | test_chapter_parser.py | py | 2,914 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "scrapes.managers.RRLChapterScraper",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.test.TestCase",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "logging.disable",
"line_number": 16,
"usage_type": "call"
},
{
"api_name":... |
264134071 | import unittest
import rdflib
rdflib.plugin.register('sparql', rdflib.query.Processor,
'rdfextras.sparql.processor', 'Processor')
rdflib.plugin.register('sparql', rdflib.query.Result,
'rdfextras.sparql.query', 'SPARQLQueryResult')
class TestDescribe(unittest.TestCase):
... | null | test/test_sparql/test_describe.py | test_describe.py | py | 1,410 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "rdflib.plugin.register",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "rdflib.plugin",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "rdflib.query",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "rdflib.plugi... |
255031144 | from django.conf.urls import url
from blogapp import views
from django.contrib.auth import views as auth_views
# Down below are all the routes for the project
app_name = 'blog'
urlpatterns = [
url(r'^$', views.index, name='index'),
url(r"create/", views.CreatePost, name="create_post"),
# url(r"login/", aut... | null | blogapp/urls.py | urls.py | py | 1,295 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.conf.urls.url",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "blogapp.views.index",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "blogapp.views",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.conf.... |
180686158 | from kivy.app import App
from kivy.uix.boxlayout import BoxLayout
from kivy.uix.floatlayout import FloatLayout
from kivy.properties import ObjectProperty, ListProperty
from kivy.clock import Clock
from kivy.uix.popup import Popup
from pi2ard.link import Link
from kivy.factory import Factory
from os.path import join, is... | null | Pi-lib/gui/main.py | main.py | py | 8,397 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "kivy.config.Config.set",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "kivy.config.Config",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "kivy.config.Config.set",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "kivy... |
555247484 | # coding=utf-8
import torch
import math
__all__ = ['to_edge_idx', 'tri_mask', 'tri_index', 'is_same', 'node_intersect', 'edge_filter', 'edge_select', 'is_nan',
'is_inf', 'is_panic']
def to_edge_idx(top_id, k=None):
"""
:param var: b, k, c, usually top_id
:return:
"""
if top_id.dim()... | null | pt_pack/utils/ops.py | ops.py | py | 5,035 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torch.arange",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "torch.arange",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "torch.arange",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "torch.stack",
"line_number... |
534014889 | from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Column, Integer, String, DateTime, Enum
from sqlalchemy.dialects.postgresql import *
from sqlalchemy.orm import relationship, backref
from sqlalchemy import create_engine
from sqlalchemy import ForeignKey
from geopy import geocoders
from sql... | null | localshow/views/local_show_sql.py | local_show_sql.py | py | 4,941 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "geopy.geocoders.OpenMapQuest",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "geopy.geocoders",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.ext.declarative.declarative_base",
"line_number": 16,
"usage_type": "call"
},
... |
197729143 | # sm, 21.01.2020
import requests
import time
import json
headers = {'content-type': 'application/json'}
clientUrl = "http://192.168.20.180:8080/" # trailing '/' is mandatory
# send single color
payload = {'color': 0x808080 }
#payload = {'color': 0xFFFF00 }
print("Data: " + json.dumps(payload))
r = requests.post(cl... | null | FLDCVisitManager/FLDCVisitManager.Backend/KRExamples/server_send_CP_LED_single.py | server_send_CP_LED_single.py | py | 781 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "json.dumps",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 1... |
585661194 | from flask import Blueprint, render_template, flash, redirect, session, url_for, request, g, jsonify, abort
from flask.ext.login import login_user, logout_user, current_user, login_required
from flask.ext.classy import FlaskView, route
from flask.ext.wtf import Form
from flask.ext.babel import lazy_gettext, gettext, re... | null | app/users/views.py | views.py | py | 6,294 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.ext.classy.FlaskView",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "flask.ext.login.login_required",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "flask.request.args.get",
"line_number": 19,
"usage_type": "call"
},
{
"... |
276463930 | '''
/*#############################################################################
HPCC SYSTEMS software Copyright (C) 2012 HPCC Systems.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the Licen... | null | testing/regress/hpcc/regression/suite.py | suite.py | py | 1,704 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.isdir",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "common.error.Error",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_... |
439009782 | """
621
task scheduler
medium
"""
from typing import List
class Solution:
def leastInterval(self, tasks: List[str], n: int) -> int:
frequencies = [0] * 26
for task in tasks:
frequencies[ord(task)-ord("A")] += 1
frequencies.sort()
f_max = frequencies.pop() - 1
... | null | Q621.py | Q621.py | py | 627 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "typing.List",
"line_number": 12,
"usage_type": "name"
}
] |
647303244 | import numpy as np
import argparse
import imutils
import time
from cv2 import cv2
import os
# parse arguments
ap = argparse.ArgumentParser()
ap.add_argument("-i", "--input", required=True, help="path to input video")
ap.add_argument("-o", "--output", required=True, help="path to output video")
ap.add_argument("-y", "-... | null | yolo-video.py | yolo-video.py | py | 4,122 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path.sep.join",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.see... |
46407953 | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import skimage.io as io
import skimage.transform as trans
import random as r
import SimpleITK as sitk
import os
img_size = 120 #original img size is 240*240
smooth = 1
import glob
def create_data(src, mask, label=False, resize=(155,img_size... | null | examples/domain_adaptation/segmentation/data/BRATS2015.py | BRATS2015.py | py | 3,922 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "glob.glob",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "skimage.io.imread",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "skimage.io",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "os.path.exists",
"line_num... |
440447677 | from lxml import etree
import gzip
from pip._vendor import requests
import re
import io
def get_links(url, gz):
xmlDict = {}
headers = {'User-Agent': 'Mozilla/5.0 (compatible; YandexBot/3.0; +http://yandex.com/bots)'}
r = requests.get(url, headers=headers)
if gz:
rr = gzip.GzipFile(fileobj=io.... | null | scraper.py | scraper.py | py | 765 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pip._vendor.requests.get",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pip._vendor.requests",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "gzip.GzipFile",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "io.BytesI... |
441956362 | import time
from flask import Flask, render_template, request, jsonify
app = Flask(__name__)
@app.route("/")
def index():
return render_template("index.html")
@app.route('/posts',methods=["POST"])
def posts():
start = int(request.form.get('start') or 0)
end = int(request.form.get('end')... | null | 21DynamicElementcreateONscrol/app.py | app.py | py | 526 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.request.form.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "flask.request... |
317600758 | import requests
import csv
from bs4 import BeautifulSoup
def main():
# Purdue Police Department 'Daily Crime Log'
page = requests.get('https://www.purdue.edu/ehps/police/assistance/stats/statsdaily.html')
soup = BeautifulSoup(page.text, 'html.parser')
soup_text = soup.find_all("p")
raw_li = []
... | null | auto_import.py | auto_import.py | py | 4,201 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "csv.writer",
"line_number": 22,
"usage_type": "call"
}
] |
463437525 | import json
import logging
import uuid
import time
import math
import os
import requests
logger = logging.getLogger(__name__)
if os.environ.get("LOG_LEVEL"):
logger.setLevel(os.environ["LOG_LEVEL"])
else:
logger.setLevel("INFO")
def ladder_export(ladder_name):
logger.debug(f"Started ladder_export funct... | null | src/poe_ladder_exporter/ladder.py | ladder.py | py | 2,897 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"li... |
56477194 | from preprocessing import create_dataset
from models import *
import torch
import utils
#create dataset
train_packs,train_picks,test_packs,test_picks = create_dataset()
#initialize model with 249 cards and 15 archetypes
rank_model = RankingNet(249,15)
optimizer = torch.optim.Adam(rank_model.parameters(), lr=0.1)
#cros... | null | create_model.py | create_model.py | py | 2,162 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "preprocessing.create_dataset",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "torch.optim.Adam",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.optim",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch.n... |
190069764 | from selenium import webdriver
import time
from selenium.webdriver.common.by import By
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.support.wait import WebDriverWait
from influxdb import InfluxDBClient
import json
import datetime
class ManualTesting():
def live_testing... | null | performance_ios.py | performance_ios.py | py | 2,416 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "selenium.webd... |
332145191 | def MethodeRectangles(a,b,f,n):
S=0
h=(b-a)/n
for i in range (0,n):
S=S+h*f(a+i*h)
return S
def MethodeTrapezes(a,b,f,n):
S=0
h=(b-a)/(n)
for i in range (0,n):
S=S+(h*(f(a+i*h)+f(a+(i+1)*h)))/2
return(S)
def F(x):
y=4/(1+x**2)
return (y)
... | null | python_prepa/TP_methode_des_rectangles_er_des_trapezes.py | TP_methode_des_rectangles_er_des_trapezes.py | py | 1,214 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.sqrt",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.arcsinh",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "numpy.arcsinh",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"... |
241206130 | import urllib.request
import json
import time
left_bottom=[118.609648,31.953192]
right_top=[119.011679,32.156586]
part_n=5
f=open('TrafficStatus_XY2.txt','a',encoding='utf-8')
f2=open('TrafficStatus2.txt','a',encoding='utf-8')
count=0
num=0
url0='http://restapi.amap.com/v3/traffic/status/rectangle?level=2&rectangle='
x... | null | 交通拥堵与公交分析展示系统/爬虫/交通态势2.py | 交通态势2.py | py | 2,428 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "urllib.request.request.urlopen",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "urllib.request.request",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "urllib.request",
"line_number": 26,
"usage_type": "name"
},
{
"api_nam... |
9135926 | # uncompyle6 version 3.7.4
# Python bytecode 3.7 (3394)
# Decompiled from: Python 3.6.9 (default, Apr 18 2020, 01:56:04)
# [GCC 8.4.0]
# Embedded file name: C:\Users\sboon\AppData\Local\Temp\pip-install-ptdbtr91\quarchpy\quarchpy\connection_specific\serial\urlhandler\protocol_hwgrep.py
# Compiled at: 2020-03-25 05:10:... | null | pycfiles/quarchpy-2.0.14-py2.py3-none-any/protocol_hwgrep.cpython-37.py | protocol_hwgrep.cpython-37.py | py | 2,330 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "serial.Serial",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "serial.Serial.port.__set__",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "serial.Serial",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "seri... |
546770221 | # -*- encoding: utf8 -*-
import MySQLdb
import json
import os
import logging
format_string = '%(asctime)s %(filename)s[line:%(lineno)d] \
%(levelname)s %(message)s'
logging.basicConfig(level=logging.DEBUG,
format=format_string,
datefmt='%a, %d %b %Y %H:%M:%S',... | null | migrate_template.py | migrate_template.py | py | 2,480 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.basicConfig",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "json.loads",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "logging.debug",
... |
245726399 | from datetime import datetime
from bs4 import BeautifulSoup
import requests
import pandas as pd
from .models import Brief_Stock
from .helpers import Scraper
import yfinance as yf
# Get ASX300 information and save to database to be used in the stock screener
class screenerHelper():
def __init__(self):
... | null | api/screener_helper.py | screener_helper.py | py | 8,254 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "helpers.Scraper",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "yfinance.Ticker",
... |
250726629 | '''
Created on 02.02.2015
@author: kmuesel
# -*- coding: utf-8 -*-
'''
import csv
import spider
import datetime
import os.path
import pprint
import urllib
path = '../../SpiderData/Spider/Data'
def storeItems(items):
assert(len(items)>0)
items.reverse()
writer = csv.writer(open(path+"/items3.csv","a+"))
... | null | Longterm/persistence.py | persistence.py | py | 3,506 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "csv.writer",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path.path.exists",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path.path",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "os.path",
"line_... |
512054180 | #!/usr/bin/python3
#===============================================================
#
# IBeaconAdvertiser
#
# Copyright (c) 2020-2021, E-Motion, Inc.
#
# This SOFTWARE PRODUCT is provided "as-is". PROVIDER makes no
# representations or warranties of any kind concerning the suitability
# and safety of the SOFTWARE... | null | lib/iBeaconAdvertiser.py | iBeaconAdvertiser.py | py | 10,504 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "dbus.exceptions",
"line_number": 39,
"usage_type": "attribute"
},
{
"api_name": "dbus.exceptions",
"line_number": 46,
"usage_type": "attribute"
},
{
"api_name": "dbus.exceptions",
"line_number": 53,
"usage_type": "attribute"
},
{
"api_name": "dbus.e... |
530344464 | class Quicksort_2(object):
def __init__(self):
self.mylist = []
self.size = 0
def add(self, value):
self.mylist.append(value)
self.size += 1
def quick_sort(self):
if len(self.mylist) > 1:
x = self.mylist[0]
self.left = Quicksort_2()
... | null | Quicksort.py | Quicksort.py | py | 2,620 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "random.randint",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number"... |
404273411 | import re
from typing import List
class Errors:
BACKWARDS = "Possible backwards compatibility break"
@staticmethod
def no_yml_file(file_path):
return "No yml files were found in {} directory.".format(file_path)
@staticmethod
def wrong_filename(filepath, file_type):
return '{} is ... | null | demisto_sdk/common/constants.py | constants.py | py | 28,960 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "typing.List",
"line_number": 369,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 377,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 383,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number... |
535490317 | #!/usr/bin/env python
# encoding: utf-8
from django.conf.urls import url
from . import views
from .dj_views import *
urlpatterns = [
################# 0.2 版本前面的连接 #############
url(r'^$', views.edit_index, name="edit_index"),
url(r'^2$', views.edit2, name="edit2"),
url(r'^show/$', views.show, name="s... | null | jtopot/urls.py | urls.py | py | 3,053 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.conf.urls.url",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django... |
96364202 | """
Construct the DQG conditions were D and Q antisymmetry are taken care of
by
"""
import numpy as np
from itertools import product
def find_num_constraints(mapper, M, sz_adapt, s2_adapt):
"""
Find the number of constraints implied my the matrices in the mapper
:param mapper: mapper object relating matr... | null | representability/fermions/constraints/antisymmeterized_spin_orbital.py | antisymmeterized_spin_orbital.py | py | 15,126 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "itertools.product",
"line_number": 79,
"usage_type": "call"
},
{
"api_name": "itertools.product",
"line_number": 84,
"usage_type": "call"
},
{
"api_name": "itertools.product",
"line_number": 89,
"usage_type": "call"
},
{
"api_name": "itertools.produ... |
606880900 | #!/usr/bin/python3
import numpy as np
import cv2
from scipy import ndimage
img = cv2.imread("counter.png");
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
edges = cv2.Canny(gray,200,250,apertureSize = 3)
lines = cv2.HoughLines(edges, 1, np.pi/180,140)
def drawLines(lines):
for i in range(len(lines)):
rho = lines[i][... | null | imgProcess.py | imgProcess.py | py | 4,242 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "cv2.imread",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "cv2.Canny",
"line_nu... |
134190175 | from selenium import webdriver
from selenium.webdriver.chrome.options import Options
option = Options()
option.add_argument("--autoplay-policy=no-user-gesture-required")
option.add_argument("--use-fake-ui-for-media-stream")
option.add_argument("--incognito")
# option.add_argument("--kiosk")
option.add_experimental_op... | null | backend/browser.py | browser.py | py | 511 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "selenium.webdriver.chrome.options.Options",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 11,
"usage_type": "name"
}
] |
67696220 | # Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | null | word2vec_basic.py | word2vec_basic.py | py | 15,352 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.dirname",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 52,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_nu... |
193674878 | #!/usr/bin/python
# -*- coding: utf-8 -*-
""" Main class
This module contains the abstract base class :py:class:`Escpos`.
:author: `Manuel F Martinez <manpaz@bashlinux.com>`_ and others
:organization: Bashlinux and `python-escpos <https://github.com/python-escpos>`_
:copyright: Copyright (c) 2012-2017 Bashlinux and ... | null | src/escpos/escpos.py | escpos.py | py | 31,739 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "escpos.capabilities.get_profile",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "magicencode.MagicEncode",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "abc.abstractmethod",
"line_number": 65,
"usage_type": "name"
},
{
"api_na... |
480587453 | import re
import io
import sys
import argparse
import configparser
class Section:
def __init__(self, title, regex='', enabled=True, size=None, intro='',
help='', weight=1,
accept=(), reject=(), accept_extra=(), reject_extra=()):
self.title = title
self.regex = reg... | null | provas/grader.py | grader.py | py | 5,450 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "io.StringIO",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "configparser.ConfigParser",
"line_number": 87,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"li... |
458822904 | import scrapy
from ..items import ZufangItem
class GanjiSpider(scrapy.Spider):
name = "zufang"
start_urls = [
'http://bj.ganji.com/fang1/chaoyang/'
]
def parse(self, response):
# print(response)
zf = ZufangItem()
title_list = response.css("dd.title a::text").extract()
... | null | zufang/zufang/spiders/ganji.py | ganji.py | py | 732 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "scrapy.Spider",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "items.ZufangItem",
"line_number": 12,
"usage_type": "call"
}
] |
174508915 | from django.conf.urls import url
from rest_app.views import (
CartViews,
CartDeleteViews,
CartDetailViews,
CartUpdateViews,
UserAuthView,
UserRegisterView,
UserUpdateView,
ProductDetailView,
VariationDetailView,
PaycomView,
CartHtmlViews,
OrderCreateView,
DeliveryAdd... | null | rest_app/urls.py | urls.py | py | 1,597 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.conf.urls.url",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "rest_app.views.UserAuthView.as_view",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "rest_app.views.UserAuthView",
"line_number": 21,
"usage_type": "name"
},
{
... |
622576056 | import time
from tqdm import tqdm
start = time.time()
cnt = 0
sumation = 0
LIMIT = 1000000
print("-------------------------------")
with tqdm() as pbar:
while(cnt < LIMIT):
sumation += cnt
pbar.update(1)
cnt += 1
elapsed_time = time.time() - start
print("while_time:{0}".format(elapsed_ti... | null | others/loop_speed/loop_speed.py | loop_speed.py | py | 560 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "time.time",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 20,
"... |
272263785 | # -*-coding:utf-8-*-
#################################
#
# Copyright (c) 2018
#
#################################
from __future__ import print_function
import grpc
import audio_streaming_pb2
import audio_streaming_pb2_grpc
import header_manipulator_client_interceptor
import base64
from conf import conf
def generat... | null | audio-streaming-client-python/process/audio_streaming_client.py | audio_streaming_client.py | py | 2,223 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "audio_streaming_pb2.AudioFragmentRequest",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "audio_streaming_pb2.InitRequest",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "header_manipulator_client_interceptor.header_adder_interceptor",
"li... |
215908689 | from django.contrib.auth import get_user_model
from django.urls import reverse
from django.test import TestCase
from rest_framework import status
from rest_framework.test import APIClient
from core.models import Register
from dictionary.serializers import RegisterSerializer
REGISTER_URL = reverse('dictionary:regist... | null | app/dictionary/tests/test_register.py | test_register.py | py | 3,073 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.urls.reverse",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.urls.reverse",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "core.models.Register.objects.create",
"line_number": 22,
"usage_type": "call"
},
{
"api_n... |
60338650 | import tkinter as tk
from PIL import ImageTk, Image
import mysql.connector
import easygui
try:
# add your databse details.
mydb = mysql.connector.connect(
host="db4free.net",
user="codebot",
password="1601Mybday",
database="codebot"
)
cur = mydb.cursor()
create_table... | null | attendance_manager.py | attendance_manager.py | py | 8,375 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "mysql.connector.connector.connect",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "mysql.connector.connector",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "mysql.connector",
"line_number": 8,
"usage_type": "name"
},
{
"api... |
370231934 | import json
import threading
import pymysql.cursors
class SQLHandler(object):
def __init__(self):
self.insert_queue = threading.Semaphore()
self.insert_conn = self.connection()
def connection(self) -> pymysql.Connection:
return pymysql.connect(host='localhost',
... | null | sqlhandler.py | sqlhandler.py | py | 1,186 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "threading.Semaphore",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pymysql.cursors.connect",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pymysql.cursors",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "pymysql.cu... |
540403542 | import pygame
class Button:
def __init__(self, target, size, location, text, color, font_size, oncolor=(150,150,150)):
self.basecolor=color
self.oncolor = oncolor
self.target = target
self.size = size
self.location = location
self.text = text
self.color = c... | null | base/Classes/Button.py | Button.py | py | 1,387 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pygame.draw.rect",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "pygame.draw",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "pygame.Rect",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "pygame.draw.rect",
... |
240229001 | '''
Preprocessor for Foliant documentation authoring tool.
Provides Pandoc-style custom IDs for headings.
'''
import re
from pathlib import Path
from foliant.preprocessors.base import BasePreprocessor
class Preprocessor(BasePreprocessor):
defaults = {
'stylesheet_path': Path('customids.css'),
'... | null | foliant/preprocessors/customids.py | customids.py | py | 3,459 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "foliant.preprocessors.base.BasePreprocessor",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": ... |
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