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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
25183906689 | from django.shortcuts import render,redirect,get_object_or_404,HttpResponse
from .forms import BlogForm
from .models import Blog
from django.contrib.auth.decorators import login_required
# Create your views here.
def home(request):
blogs=Blog.objects.all()
return render(request,'Home/index.html',{'blogs':blogs... | kushalsubedi/Bloggie | Home/views.py | views.py | py | 2,090 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "models.Blog.objects.all",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "models.Blog.objects",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "models.Blog",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.shor... |
70035569954 | # mnist classification
# backend: Theano (make sure to disable fastmath i.e. nvcc.fastmath=false. if you want to add many epoches and wish to avoid the nan issue)
# you can play with the layers and maybe add a few (maybe dropout layers).
import numpy as np
from keras.models import Sequential
from keras.layers import D... | dasraf9/Keras_Mini_Projects | mmist/mnist.py | mnist.py | py | 1,498 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "numpy.random.seed",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "keras.datasets.mnist.load_data",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "ke... |
9284007937 | from kivymd.uix.screen import MDScreen
from kivymd.uix.menu import MDDropdownMenu
from kivymd.uix.list import OneLineIconListItem
from kivy.metrics import dp
from kivy.properties import ObjectProperty, StringProperty
from kv.components.empty_screen_msg import EmptyScreenMessage
class NotesDashboard(MDScre... | pyto-p/NoteRex | view/dashboard.py | dashboard.py | py | 3,678 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "kivymd.uix.screen.MDScreen",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "kivy.properties.ObjectProperty",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "kivymd.uix.menu.MDDropdownMenu",
"line_number": 48,
"usage_type": "call"
},
... |
37804385829 | import os
from notion_client import Client
from dotenv import load_dotenv
load_dotenv()
NOTION_TOKEN = os.getenv("NOTION_TOKEN")
DATABASE_ID = os.getenv('DATABASE_ID')
notion = Client(auth=NOTION_TOKEN)
def note(res):
new_page = {
"title": {"title": [{"text": {"content": res}}]}
}
notion.pages.crea... | kinba09/Telegram_to_notion | notion_back.py | notion_back.py | py | 381 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "notion_client.Client",
"line_... |
19270541376 | import math
import numpy as np
import torch
from torch.nn.modules.module import Module
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
import scipy.sparse as sp
from sklearn.metrics import roc_auc_score
def get_interventional_emb(train_edges, probe_edge_index, model, x, device, type_set='test'... | ErikJhones/in_n_out | utils_calib.py | utils_calib.py | py | 3,308 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "torch.cat",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "torch.cat",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "torch.softmax",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "torch.max",
"line_number": 43,
... |
72799933795 | import unittest
import datetime
from django.contrib.auth.models import User
from django_multivoting.models import Vote, Popularity
from django.core.exceptions import ObjectDoesNotExist
from django.contrib.contenttypes.models import ContentType
class Tests(unittest.TestCase):
def setUp(self):
try:
... | genghisu/eruditio | eruditio/shared_apps/django_multivoting/tests.py | tests.py | py | 5,053 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "unittest.TestCase",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.auth.models.User.objects.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.models.User.objects",
"line_number": 12,
"usage_typ... |
21377790638 | import requests
import json
def next1f():
url = "https://fdo.rocketlaunch.live/json/launches/next/5"
response = requests.get(url)
data = response.json()
next1 = (data["result"][0]["launch_description"])
return next1
#print(data["result"][0]["name"])
#print(data["result"][0]["vehicle"]["name"])
#pri... | SimonTheCommunist/SpaceBot | SpaceBot/nextlunch.py | nextlunch.py | py | 990 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "requests.get",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 16,
"usage_type": "call"
}
] |
43597335889 | #################################################################################################
########################## BASE APP PART ########################################################
class LoginData(object):
username = "guest"
class MainSinglegameClass:
target_word = None
target_word_len =... | Fantomas4/GUI_Hangman | GUI_Hangman.py | GUI_Hangman.py | py | 10,855 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "kivy.uix.screenmanager.Screen",
"line_number": 149,
"usage_type": "name"
},
{
"api_name": "kivy.uix.screenmanager.Screen",
"line_number": 156,
"usage_type": "name"
},
{
"api_name": "kivy.properties.ObjectProperty",
"line_number": 157,
"usage_type": "call"
... |
72708314593 |
import asyncio
from typing import Union, Callable, List, Coroutine, Optional
import discord
import linkbot.utils.emoji as emoji
from linkbot.bot import client
class Option:
def __init__(self,
emote: str,
text: str="", *,
func: Callable[[discord.User, discord.R... | tjbrockmeyer/LinkBot | linkbot/utils/menu.py | menu.py | py | 8,723 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "typing.Callable",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "discord.User",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "discord.Reaction",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "typing.Option... |
5863312381 | from typing import Any, Dict, List, Type, TypeVar, Union
import attr
from ..models.fault_model import FaultModel
from ..models.fault_summary_model import FaultSummaryModel
from ..models.sub_system_health_rollup_status import SubSystemHealthRollupStatus
from ..models.sub_system_health_sub_system import SubSystemHealth... | dell/omivv | Python/omevv/v1/omevv_apis_client/models/sub_system_health.py | sub_system_health.py | py | 4,766 | python | en | code | 3 | github-code | 1 | [
{
"api_name": "typing.TypeVar",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "typing.Union",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "types.Unset",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "models.sub_system_health_sub_... |
23517680253 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
################################################################################
#
# 将mongoDB中的赛程数据导出为XML模板表格式
#
# usage:
# python export_fixtures.py --help
#
# 导出英超2016/2017赛季赛程数据到8_2017.xml
# python export_fixtures.py -h 10.1.0.6 -p 27017 -d football -c fixtures -m... | huiliu/spiders.learning.hui | sports/sports/spiders/addons/fixtures.py | fixtures.py | py | 6,112 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "codecs.open",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "ConfigParser.ConfigParser",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "enum.ST_FOOTBALL",
"line_number": 65,
"usage_type": "attribute"
},
{
"api_name": "pymongo.M... |
35227290608 | from .base import FunctionalTest
import time
from selenium.common.exceptions import WebDriverException
from datetime import datetime, date
from django.contrib.auth.models import User
# from selenium.webdriver.firefox.webdriver import WebDriver
# from selenium.webdriver.common.keys import Keys
# import unittest
# import... | NeelRoshania/MarPersonnel | functional_tests/test_home_CRU.py | test_home_CRU.py | py | 4,757 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "base.FunctionalTest",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "django.contrib.auth.models.User.objects.create_user",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.models.User.objects",
"line_number": 17,
"usa... |
9291937956 | #!/usr/bin/env python3
#importo librerías
import pyspark
from pyspark import SparkContext, SparkConf, SQLContext
from pyspark.sql.functions import *
from pyspark.sql import DataFrameStatFunctions, DataFrame
from pyspark.sql.types import *
from pyspark.ml import Pipeline
from pyspark.ml.feature import *
from pyspark.ml.... | EduardoHidalgoGarcia/MGE_ITAM_2017 | alumnos/jorge_altamirano/tarea_7/tarea_7.py | tarea_7.py | py | 10,065 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pyspark.SparkConf",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pyspark.SparkContext",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pyspark.SQLContext",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pyspark.ml.... |
42654646818 | from io import BytesIO
from time import time
import pybase16384 as pybs
pybs.is_64bits()
with open("input.pcm", "rb") as f:
data = f.read()
st = time()
for i in range(10):
pybs.encode_file(BytesIO(data), open("output2.pcm", "wb"), True, len(data) // 7)
print(f"耗时： {time() - st}")
| synodriver/pybase16384 | tests/test_encode.py | test_encode.py | py | 298 | python | en | code | 7 | github-code | 1 | [
{
"api_name": "pybase16384.is_64bits",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pybase16384.encode_file",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "io.BytesIO",
... |
14751142418 | """
The :mod:`!xml_prm.parser` module contains the parsers that instatiate a :mod:`probrem` instance from the XML specifications. There is parser for
* Data Interface specification, :class:`DataInterfaceParser`
* PRM specifcation, :class:`PRMparser`
* Loading model parameters stored on disk, :class:`LocalDistributionP... | declerambaul/ProbReM | src/xml_prm/parser.py | parser.py | py | 32,969 | python | en | code | 4 | github-code | 1 | [
{
"api_name": "prm.relationalschema.Entity",
"line_number": 214,
"usage_type": "call"
},
{
"api_name": "prm.relationalschema.UncertainRelationship",
"line_number": 240,
"usage_type": "call"
},
{
"api_name": "prm.relationalschema.Relationship",
"line_number": 242,
"usage_t... |
41059786168 | from setuptools import setup, find_packages
import re
import os
import sys
import subprocess
ROOT = os.path.dirname(__file__)
def get_long_description():
with open(os.path.join(ROOT, 'README.md'), encoding='utf-8') as f:
return f.read()
def get_version():
VERSION_RE = re.compile(r'''VERSION\s+=\s+['"... | mjpost/bibsearch | setup.py | setup.py | py | 3,249 | python | en | code | 59 | github-code | 1 | [
{
"api_name": "os.path.dirname",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": ... |
6966301148 | import sqlite3
import logging
from variables import schema
from string import Template
from utilities import func_name
from os.path import isfile, isdir, join
from PIL import Image
from io import BytesIO
def connect_database(config, logger, **kwargs):
logger = logging.getLogger(func_name())
logger.debug(kwargs... | cbitterfield/deepstack-multiprocessing | database.py | database.py | py | 5,567 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "utilities.func_name",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect"... |
41579410870 | import os
import random
import pygame
from data.base_modifier import BaseModifier
from data.colors import Colors
class Fortifier(BaseModifier):
def __init__(self, game):
self.name = "fortifier"
self.game = game
self.block_positions = self.get_block_positions()
self.image = pygame... | rimai4/snake | data/fortifier.py | fortifier.py | py | 1,805 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "data.base_modifier.BaseModifier",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "pygame.image.load",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pygame.image",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "o... |
11258535263 | # -*- coding: utf-8 -*-
from lxml import etree
oaidcns = "{http://www.openarchives.org/OAI/2.0/oai_dc/}"
dcns = "{http://purl.org/dc/elements/1.1/}"
def getEmptyOaidcDict():
oaidcdict = {
"title": "",
"description": "",
"subject": [],
"publisher": "",
"format": "",
"identifier": "",
"language": "",
"... | wimmuskee/mangrove | formatter/oaidc.py | oaidc.py | py | 1,460 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "lxml.etree.Element",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "lxml.etree",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "lxml.etree.tostring",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "lxml.etree",
"l... |
33618366539 | import pandas as pd
import requests
API_KEY = 'Bearer e3920e0f60c88136aa66dca3bbfbae7f-bb9c32f4d0ab0fc0106137b0467a4394'
HEADERS = {
'Content-Type': 'application/json',
'Authorization': API_KEY
}
# format: Currency1_Currency2
INSTRUMENT = 'EUR_USD'
# e.g. 'S5', 'M15', 'H1', 'D', 'W', 'M'
# https://developer... | brunadossantos-tech/data-to-csv | R-testes/OandaDataGetterV2.py | OandaDataGetterV2.py | py | 3,123 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "requests.get",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 39,
"usage_type": "call"
}
] |
6584385706 | from PyQt6.QtCore import QTimer
from UM.Application import Application
from UM.Logger import Logger
from UM.Scene.SceneNode import SceneNode
from UM.Scene.Iterator.BreadthFirstIterator import BreadthFirstIterator
from UM.Math.Vector import Vector
from UM.Scene.Selection import Selection
from UM.Scene.SceneNodeSettings... | Ultimaker/Cura | cura/PlatformPhysics.py | PlatformPhysics.py | py | 10,950 | python | en | code | 5,387 | github-code | 1 | [
{
"api_name": "PyQt6.QtCore.QTimer",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "UM.Application.Application.getInstance",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "UM.Application.Application",
"line_number": 37,
"usage_type": "name"
},
{
... |
621928178 | from collections import OrderedDict
from braindecode.datautil.signalproc import exponential_running_standardize
from braindecode.datautil.trial_segment import create_signal_target_from_raw_mne
import logging
import numpy as np
from braindecode.datasets.bbci import BBCIDataset
from braindecode.datautil.signalproc import... | Sebas-h/eeg_thesis | data_loader/process_data/hgd.py | hgd.py | py | 6,071 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspa... |
5175592455 | import udi_interface
import sys
import time
import string
import re
import urllib.parse,http.client,math,time,datetime,base64
# Standard Library
from typing import Optional, Any, TYPE_CHECKING
from nodes import SPAN_breakerController,SPAN_circuitController
LOGGER = udi_interface.LOGGER
Custom = udi_interface.Custom... | residualimages/span_ud_nodeserver | nodes/SPAN_ctl.py | SPAN_ctl.py | py | 24,394 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "udi_interface.LOGGER",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "udi_interface.Custom",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "udi_interface.ISY",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_na... |
37988024234 | import feedparser
import urllib.request
from pydub import AudioSegment
from pydub.utils import make_chunks
import SpeechRecognition as sr
# Carga el archivo MP3
audio = AudioSegment.from_file("audio.mp3", format="mp3")
# Convierte el archivo a formato WAV
audio.export("audio.wav", format="wav")
# Crea chunks de audi... | Mig29x/CheckMovieParentsRating | Podcast.py | Podcast.py | py | 1,358 | python | es | code | 0 | github-code | 1 | [
{
"api_name": "pydub.AudioSegment.from_file",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pydub.AudioSegment",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "pydub.utils.make_chunks",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": ... |
25888700131 | import datetime
import inspect
import json
import logging
import os
from typing import Any, Callable, Dict, List, Optional, Union
from django.core import serializers
from django.core.exceptions import SuspiciousOperation
from django.db import models
from django.http import HttpRequest, HttpResponse, HttpResponseBadReq... | ruler501/multipoll | multipoll/views.py | views.py | py | 12,628 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "django.http.HttpRequest",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "os.environ.get",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.environ",... |
35627409276 | import os
import zipfile
import pandas as pd
import csv
import mariadb
import os
import configparser
import glob
config = configparser.ConfigParser()
config.read_file(open(r'CONF/mariadb.conf'))
try:
db = mariadb.connect(
host = config.get('peru','host'),
user = config.get('peru','user' ... | manuelcorpas/15-PERU | PYTHON/PERU/07-ukbb-pop-af-insert.py | 07-ukbb-pop-af-insert.py | py | 1,535 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "mariadb.connect",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "mariadb.Error",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "glob.glo... |
4253799393 | import numpy as np
from typing import List
class BBox3D:
def __init__(self, bbox_min: np.array, bbox_max: np.array):
"""
Initializes a 3D axis-aligned bbox from the min and max points
Args:
bbox_min: the minimum point, expected to be a
"""
assert bbox_m... | PolyCam/polyform | polyform/core/bbox.py | bbox.py | py | 1,688 | python | en | code | 111 | github-code | 1 | [
{
"api_name": "numpy.array",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "numpy.shape",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.shape",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_numbe... |
24184544608 | # ebay gpu prices visualizer
from ebaysdk.finding import Connection as finding
from bs4 import BeautifulSoup
import gspread
from oauth2client.service_account import ServiceAccountCredentials
from pprint import pprint
import matplotlib
import time
from decouple import config
'''
GOOGLE SHEETS
OPENING CON... | octavian-stoch/average_ebay_prices_app | GPUprices.py | GPUprices.py | py | 1,830 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "oauth2client.service_account.ServiceAccountCredentials.from_json_keyfile_name",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "oauth2client.service_account.ServiceAccountCredentials",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "gspread.auth... |
43157972809 | import pandas as pd
import numpy as np
from annoy import AnnoyIndex
import re
import os
from sklearn.feature_extraction.text import CountVectorizer
import matplotlib.pyplot as plt
import time
from memory_profiler import memory_usage
import psutil
import csv
start_time = time.time()
# get the absolute path... | nan0neko/LogClusteringHP | ANNOY/count vectorizer/angular/approach1/Count Vectorization Approach 1 Updated.py | Count Vectorization Approach 1 Updated.py | py | 4,522 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "time.time",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_nu... |
13221751063 | import os
import sys
from pathlib import Path, PurePath, PurePosixPath
from unittest.mock import patch
import boto3
import pytest
from moto import mock_s3
from prefect_aws import AwsCredentials
from prefect_aws.deployments.steps import get_s3_client, pull_from_s3, push_to_s3
@pytest.fixture
def s3_setup():
with... | PrefectHQ/prefect-aws | tests/deploments/test_steps.py | test_steps.py | py | 10,915 | python | en | code | 82 | github-code | 1 | [
{
"api_name": "moto.mock_s3",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "boto3.client",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path",
"lin... |
32090928144 | import streamlit as st
from transformers import (
AutoModelForSeq2SeqLM,
AutoTokenizer,
BartForConditionalGeneration,
BartTokenizer
)
import torch
import nltk
import re
from transformers import pipeline
import numpy as np
model = None
tokenizer = None
summarizer = None
@st.cache_data()
def loadModel()... | oshikaroy/bartTextSummarization-Streamlit | bartTextSummarizer-streamlit-main/oldMainPage/response.py | response.py | py | 9,208 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "transformers.BartForConditionalGeneration.from_pretrained",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "transformers.BartForConditionalGeneration",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "transformers.BartTokenizer.from_pretrained",
... |
9906643482 | # coding:utf-8
'''
爬虫
create by qmh 2018-05-06
'''
from urllib.request import urlopen
import re
from bs4 import BeautifulSoup
response = urlopen("http://www.google.com")
html = response.read()
# print(html)
soup = BeautifulSoup(html,features="lxml")
result={}
# 房源信息
all_img=soup.find_all("img")
imglist=... | qinmenghuan/flappybirdserver | webCrawler/webwormdemo.py | webwormdemo.py | py | 613 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "urllib.request.urlopen",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 15,
"usage_type": "call"
}
] |
4113591124 | #!/usr/bin/env python
# encoding: utf-8
import codecs
import os
from tornado.gen import coroutine
import tornado.web
import wsrpc
from tornado import testing
from tornado.httpserver import HTTPServer
from tornado.testing import gen_test, AsyncTestCase
from wsrpc import wsrpc_static
from tornado.httpclient import AsyncH... | vvsha/w21 | mysite/tests/test_js_static.py | test_js_static.py | py | 1,650 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "tornado.gen.web",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "tornado.gen",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "wsrpc.wsrpc_static",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "tornado.gen.web.A... |
25461186503 | from flask_restx import Namespace, Resource, fields
from models import Recipe
from flask_jwt_extended import jwt_required
from flask import request
recipe_ns = Namespace('recipe', description='A namespacce for Recipes' )
#model serializer
recipe_model = recipe_ns.model(
'Recipe',
{
'id':fields.Inte... | Grace-5507/my-recipe | recipes.py | recipes.py | py | 1,722 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "flask_restx.Namespace",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask_restx.fields.Integer",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask_restx.fields",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "fl... |
31330715314 | import requests
import json
hakusana = input(f'Kaupunki: ')
pyyntö = 'https://api.openweathermap.org/data/2.5/weather?q=' + hakusana + '&appid=b506dbf5aa172758d111318ced349bb3&units=metric'
vastaus = requests.get(pyyntö).json()
json_vastaus = json.dumps(vastaus, indent=2)
print(f'Weather:\n {vastaus["weather"... | Javimetro/Python-tasks | moduuli12/weather.py | weather.py | py | 396 | python | fi | code | 0 | github-code | 1 | [
{
"api_name": "requests.get",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 8,
"usage_type": "call"
}
] |
25158386576 | from typing import Optional, List, Callable
from .model import LifeModelAgent
class LifeEvents(LifeModelAgent):
def __init__(self, model, life_events: Optional[List['LifeEvent']] = None):
"""List of life events
Args:
model (LifeModel): LifeModel in which the life events take place.
... | sw23/life-model | src/life_model/lifeevents.py | lifeevents.py | py | 1,620 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "model.LifeModelAgent",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "typing.Callable",
"... |
19128100495 | import io
#from multiprocessing.dummy import Array
import socket
import time
import cv2
import numpy as np
from PIL import Image
from math import atan2, cos, sin, sqrt, pi
serv = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
# address '0.0.0.0' or '' work to allow connections from other machines. 'localhost' d... | JD-edu/JD_robot_platform | 206_esp32_camera_python_socket/206_esp32_camera_socket.py | 206_esp32_camera_socket.py | py | 1,421 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "socket.socket",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "socket.SOCK_STREAM",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "time.time",... |
22743188983 | from flask import Flask, Blueprint, render_template, request, send_file, redirect, url_for
import os
from csv_changer import change_csv_1
app = Flask(__name__)
change_csv = Blueprint('change_csv', __name__)
app.config['UPLOAD_FOLDER'] = os.path.join(os.environ["USERPROFILE"], 'Desktop')
@change_csv.route('/change-c... | hsamvel/Flask_App | website/change_csv.py | change_csv.py | py | 1,178 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.Blueprint",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,... |
19015335793 | #!/usr/bin/env python3
import os
import datetime
import concurrent.futures
import time
import logging
import jinja2
import chronos
def get_year():
y = datetime.datetime.now().year
return y + 2 if datetime.datetime.now().month < 7 else y + 3
STUDENT_PROM = get_year()
ASSISTANT_PROM = STUDENT_PROM - 2
OUTP... | epita/chronos-ics | cron.py | cron.py | py | 1,883 | python | en | code | 12 | github-code | 1 | [
{
"api_name": "datetime.datetime.now",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.now",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "da... |
16685518806 | import torch
import torch.utils.data as data
import cv2
import random
import numpy as np
from os.path import join
from .base_provider import ImagesDataSet
def augment_image(image, pad):
'''
Perform zero padding, randomly crop image to original size,
maybe mirror horizontally
'''
init_shape = image... | FatDs-lrc/SER_KD | preprocess/denseface/data/fer.py | fer.py | py | 4,880 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "numpy.zeros",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.random.randint",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.randi... |
73129044195 | from django.urls import path
from .views import *
urlpatterns = [
path('', payment_info, name='payment-info'),
path('purchase/', purchase_product, name="purchase-product"),
path('purchase/<int:payment_id>/', cancel_purchase, name="cancel-purchase"),
path('deliveries/', add_deliveries, name="add-delive... | iamthasanthan/Ecommerce-react-django | payment/urls.py | urls.py | py | 420 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
40638839003 | import streamlit as st
import pandas as pd
import os
import datetime
import sqlite3
#############################################################
# This program reads member infomation from a db and finds #
# the next in line to scrub based on the next saturday #
################################################... | Anino1996/dutyRosterWebApp | duty_roster_app.py | duty_roster_app.py | py | 2,825 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "sqlite3.connect",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pandas.read_sql",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "datetime.timedelta",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "datetime.date",
... |
43578234288 | from flask import Flask, render_template
import redis
app = Flask(__name__)
redis_client = redis.Redis(host='localhost', port=6379)
@app.route('/')
def index():
count = redis_client.get('count')
return render_template('index.html', count=count)
@app.route('/update')
def update():
redis_client.incr('count... | wellington90/Python-Redis | app.py | app.py | py | 468 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "redis.Redis",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
... |
72218499235 | # -*- coding:utf-8 -*-
import os
import pymssql
import xlrd
import xlwt
import datetime
import time
import chardet
import shutil
#数据库全局连接对象
conn=pymssql.connect(host="127.0.0.1",user="sa",password="4869Ahui...A",database="GoldControlDB")
#conn=pymssql.connect(host="47.91.154.143:1433",user="sa",password="4869Ahui...A"... | bugken/KenCodeSnipet | PythonForExcelDB/ExeclDBHandle.py | ExeclDBHandle.py | py | 5,276 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pymssql.connect",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "xlwt.Workbook",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "xlwt.Workbook",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "xlrd.open_workbook",
... |
8318774067 | """Collection of experimental functions (beta)"""
import os
import numpy as np
import csv as csv
import lmlib as lm
import itertools
import datetime as datetime
__all__ = ['find_max_mask',
'load_source_csv',
'zero_cross_ind',
'diff0',
'edge_detection',
'poly_fil... | lmlib/lmlib | lmlib/utils/beta.py | beta.py | py | 21,866 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "numpy.inf",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "numpy.zeros",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number"... |
20702891231 | import pytest
import dynamic_yaml
import logging
import sys,os
sys.path.append('.')
import torch
from model.backbone import backbonebase
def get_hyper():
CFG_PATH = './cfg/hyperparameter.yaml'
with open(CFG_PATH, 'r') as file:
para = dynamic_yaml.safe_load(file)
return para
# print(get_hyper())
@... | leoliu5550/researchObjDet | TEST/test_backbone.py | test_backbone.py | py | 725 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "sys.path.append",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "dynamic_yaml.safe_load",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "torch.ones",
"... |
71813433315 | #!/usr/bin/env python
from __future__ import print_function
import cv2
import random
import os.path
import numpy as np
import PIL.ImageOps
import tensorflow as tf
from collections import deque
from sklearn.utils import shuffle
from PIL import Image, ImageChops
from pandas.io.parsers import read_csv
TRAIN_DATA_PATH = ... | NAVEENMN/PersonalArchives | CNN_facekeypoints/facekey_CNN.py | facekey_CNN.py | py | 5,086 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "tensorflow.truncated_normal",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "tensorflow.Variable",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "tensorflow.constant",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "t... |
17609606258 | # Author: Jordan Cain, 2015-16
import re
import sys
import time
import parse
import walker
from debugUtil import Trace
from methodHolder import Method
from classHolder import Class
from optimisations import Recursion
from optimisations import LoopToUnroll
def detect(parent, debugObj):
global debug
debug = deb... | jordanCain-zz/Java-Optimisation-Atom-Plugin | OptimisationDetect/scan.py | scan.py | py | 9,391 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "walker.getForLoops",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "walker.checkIfCStyleLoop",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "optimisations.LoopToUnroll",
"line_number": 57,
"usage_type": "call"
},
{
"api_name":... |
39669419418 | #!/usr/bin/python3
# -*- Mode: Python; indent-tabs-mode: nil; tab-width: 4; coding: utf-8 -*-
import apt
import apt_pkg
import hashlib
import mock
import os
import unittest
import shutil
import tempfile
import json
from DistUpgrade.DistUpgradeQuirks import DistUpgradeQuirks
CURDIR = os.path.dirname(os.path.abspath(_... | mvo5/ubuntu-release-upgrader | tests/test_quirks.py | test_quirks.py | py | 34,613 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.path.dirname",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_n... |
25433089369 | from itertools import combinations
import sys
input = sys.stdin.readline
dx = (1,0,-1,0)
dy = (0,1,0,-1)
INF = int(1e9)
def out_of_range(ny:int, nx:int) -> bool:
return ny < 0 or nx < 0 or ny >= n or nx >= n
def position(val: tuple[int]) -> list[int]:
return [(num//n, num%n) for num in val]
de... | reddevilmidzy/baekjoonsolve | 백준/Silver/14620. 꽃길/꽃길.py | 꽃길.py | py | 878 | python | en | code | 3 | github-code | 1 | [
{
"api_name": "sys.stdin",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "itertools.combinations",
"line_number": 35,
"usage_type": "call"
}
] |
4457628669 | import subprocess as sp
import sys
import ctypes
import os
import random
import json
import base64
import pathlib
import tempfile
import functools
import operator
import time
import numpy
# ol-install: numpy
# from memory_profiler import profile
import cProfile
import pstats
import io
doProfile = True
def printCSV... | NathanTP/fakefaas | examples/sort/handler/f.py | f.py | py | 5,425 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "pathlib.Path",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "io.StringIO",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pstats.Stats",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "pstats.SortKey",
"line_numb... |
74136873634 | #!/usr/bin/env python3
import socket
from threading import Thread
from config import SERVER_IP, SERVER_PORT, CLIENT_CONNECT_TIMEOUT
class Client(object):
def __init__(self, server_ip, server_port, client_connect_timeout):
self._server_ip = server_ip
self._server_port = server_port
self._c... | aviafelix/simplechatpy | client.py | client.py | py | 1,510 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "socket.socket",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "config.SERVER_IP",
... |
9909868792 | from pymysql import IntegrityError
from sqlalchemy import func
from sqlalchemy.orm.exc import MultipleResultsFound
from flask_sqlalchemy import BaseQuery as QueryClass
from miniapp.corelibs.stone import db
class BaseQuery(QueryClass):
def __iter__(self):
return QueryClass.__iter__(self._undeleted())
... | qinlinli/small | models/base.py | base.py | py | 3,602 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "flask_sqlalchemy.BaseQuery",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "flask_sqlalchemy.BaseQuery.__iter__",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask_sqlalchemy.BaseQuery",
"line_number": 12,
"usage_type": "name"
},
... |
38762305767 | '''
给定一个链表，删除链表的倒数第 n 个节点，并且返回链表的头结点。
'''
'''
使用有界队列，队列大小为n+1，遍历链表的时候不停向队列里添加节点，遍历完成后，队列的头就是倒数第n+1个节点，队列第二个就是倒数第n个节点
本质上就是使得遍历到链表终点时，能够拿到倒数第n+1个节点
'''
# Definition for singly-linked list.
# class ListNode(object):
# def __init__(self, x):
# self.val = x
# self.next = None
from collections import deq... | love525150/leetcode-answer | a19v1.py | a19v1.py | py | 1,117 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "collections.deque",
"line_number": 22,
"usage_type": "call"
}
] |
3022188184 | from setuptools import setup, find_packages
from os import path
from io import open
here = path.abspath(path.dirname(__file__))
with open(path.join(here, 'README.md'), encoding='utf-8') as f:
long_description = f.read()
setup(
name='Zeek-Indenter',
version='0.1.0',
description='Python package to indent Zeek s... | corelight/zeek-indenter | setup.py | setup.py | py | 750 | python | en | code | 4 | github-code | 1 | [
{
"api_name": "os.path.abspath",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "os.path.dirname",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "io.open",
"line_number": 7,
... |
20239780834 | from django.shortcuts import render,redirect
from .models import *
from .forms import *
from django.contrib.auth.decorators import login_required
# Create your views here.
@login_required(login_url=('accounts:login'))
def home(request):
products = Product.objects.all().order_by('-id')
context = {'products':produc... | rcoffie/store-inventory | products/views.py | views.py | py | 2,790 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.shortcuts.render",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.decorators.login_required",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 21,
"usage_type": "call"
... |
8999900973 | from django.contrib import admin
from payment.models import PaidMember, UserInfo
class PaidMemberAdmin(admin.ModelAdmin):
""" Premium User Admin """
list_display = (
'user',
'start_date',
'end_date',
'subscription',
)
admin.site.register(PaidMember, PaidMemberAdmin)
cla... | stefbez/bee-fitness | payment/admin.py | admin.py | py | 567 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "django.contrib.admin.site.register",
"line_number": 15,
"usage_type": "call"
},... |
21765562207 | # -*- coding:utf-8 -*-
'''
Author: MrZQAQ
Date: 2022-03-29 14:06
LastEditTime: 2023-03-01 22:24
LastEditors: MrZQAQ
Description: turely model execute file
FilePath: /MCANet/RunModel.py
'''
import os
import random
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim ... | MrZQAQ/MCANet | RunModel.py | RunModel.py | py | 12,346 | python | en | code | 5 | github-code | 1 | [
{
"api_name": "torch.device",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "random.seed",
... |
39393923147 |
# Script to process hyperopt log and summarise results. Useful for multiple hyperopts in one file (e.g. from hyp_exchange.sh)
import sys
import os
from re import search
import statistics
import pandas
import numpy
from tabulate import tabulate
infile = None
curr_line = ""
strat_results = {}
strat_summary = {}
# ro... | nateemma/strategies | scripts/SummariseHyperOptResults.py | SummariseHyperOptResults.py | py | 4,899 | python | en | code | 199 | github-code | 1 | [
{
"api_name": "pandas.DataFrame",
"line_number": 107,
"usage_type": "call"
},
{
"api_name": "pandas.set_option",
"line_number": 112,
"usage_type": "call"
},
{
"api_name": "tabulate.tabulate",
"line_number": 115,
"usage_type": "call"
},
{
"api_name": "sys.argv",
... |
24859931153 | from typing import cast
from fastapi import Request
from starlette.datastructures import UploadFile
from fcg.infrastructure.types import OutputFormat
from fcg.viewmodels import parse
from fcg.viewmodels.form_base_viewmodel import FormBaseViewModel
class MosViewModel(FormBaseViewModel):
def __init__(self, reques... | saltastroops/finder-chart-generator | fcg/viewmodels/mos_viewmodel.py | mos_viewmodel.py | py | 1,029 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "fcg.viewmodels.form_base_viewmodel.FormBaseViewModel",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "fastapi.Request",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "starlette.datastructures.UploadFile",
"line_number": 14,
"usage_type... |
3559214492 |
# Odin M. Moron-Garcia
# Date of Creation 21st September, 2021
# For our purposes we need Doc2Vec since it is suitable for downstream machine learning applications
# And this script will refurbish the original Doc2Vec tutorial so the models are calculated for KEGG, COGs and pFAm
# datasets for the GenePhene2 bacteri... | omgmvi/genephene2 | Genomes/scripts/D2V_bk/Doc2Vec_Genomes_GenePhene2.py | Doc2Vec_Genomes_GenePhene2.py | py | 4,332 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "logging.basicConfig",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "os.path.join",
... |
23035981858 | import logging
import os
from scrapy.exceptions import CloseSpider
from scrapy.linkextractors import LinkExtractor
import scrapy
from scrapy.spiders import CrawlSpider, Rule
class SpiderOne(scrapy.Spider):
name = "sp1"
counter = 0
linkextractor = LinkExtractor(allow=('https://en.wikipedia.org/wiki/(.)')... | ViliamJ/VINF | vinf_airplanes/vinf_airplanes/spiders/spider_one.py | spider_one.py | py | 2,369 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "scrapy.Spider",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "scrapy.linkextractors.LinkExtractor",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "scrapy.Request",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": ... |
22466508863 | import wiotp.sdk.application
import json
import uuid
from time import sleep
import jarHelper
import bot
class ApplicationClient:
def __init__(self):
f = open('../../properties.json')
properties = json.load(f)
self.typeId = properties['DEVICE']['DEVICE_TYPE']
self.deviceId = propert... | sak007/SmartJar | code/bot/wiotpApplicationClient.py | wiotpApplicationClient.py | py | 1,429 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "json.load",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "wiotp.sdk.application.sdk.application.parseConfigFile",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "wiotp.sdk.application.sdk",
"line_number": 15,
"usage_type": "attribute"
... |
7043092758 | # coding: utf-8
import sys
import time
import dataset
import sorting
from collections import defaultdict
TESTS = ["basico", "ordenado", "ordenado_inverso"]
# gets the list of supported sorting algorithms from the `sorting` module
ALGORITHMS = [f for f in dir(sorting) if callable(getattr(sorting, f)) and not f.star... | eze210/tda1 | tp1/sorting/run_test.py | run_test.py | py | 3,753 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "time.perf_counter",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "time.perf_counter",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "dataset.g... |
22261399048 | """ analysis of foreign umpires"""
import matplotlib.pyplot as plt
from main import matches,umpires
def foreign_umpire_analysis():
"""foreign umpire analysis"""
foreign_umpire = set()
for match in matches:
foreign_umpire.add(match['umpire1'])
foreign_umpire.add(match['umpire2'])
umpire_... | shivapittala19/IPL_dataset_analysis | foregin_umpire.py | foregin_umpire.py | py | 1,127 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "main.matches",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "main.umpires",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.bar",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
... |
17000288984 | from django.shortcuts import render, redirect
from .models import *
# course filter
from django.template.loader import render_to_string
from django.http import JsonResponse
# total duration sum
from django.db.models import Sum
def home(request):
course_menu_category = Categories.get_all_category(Categories)
... | foyez-ahammad/lms-course | course/views.py | views.py | py | 4,163 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.shortcuts.render",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 38,
"usage_type": "call"
},
{
"api_name"... |
10852006322 | # encoding:utf-8
from common.douyu_request import dyreq
from common.logger import logger
from common.config import conf
from common.get_secrets import get_secrets
from lxml import etree
import re
import math
import requests
def get_badge():
"""
:return: 获取具有粉丝牌的房间号、当前经验、升级所需经验、升级还需要的经验
"""
badges_url ... | TheSlientnight/douyu_helper | common/dy_badge.py | dy_badge.py | py | 2,248 | python | en | code | 34 | github-code | 1 | [
{
"api_name": "common.douyu_request.dyreq.request",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "common.douyu_request.dyreq",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "lxml.etree.HTML",
"line_number": 18,
"usage_type": "call"
},
{
"api... |
19644698860 | from fractions import Fraction
import re
class Conversions:
def __init__(self, *args, **kwagrs):
pass
def us_to_dec(self, value: str) -> float:
"""
Convert US odds to float
Args:
value (str): US odds ie -600, 475
Returns:
float: converted us odd... | gVkWY8NJAa/OddsCalculator | conversions.py | conversions.py | py | 3,688 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "fractions.Fraction",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "re.match",
"line_number": 99,
"usage_type": "call"
},
{
"api_name": "re.match",
"line_number": 101,
"usage_type": "call"
},
{
"api_name": "re.match",
"line_number": 1... |
14831446889 | import requests
#visit this website to get a soup commands <https://www.crummy.com/software/BeautifulSoup/bs4/doc/>
def fetchAndSaveToFile(url, path):
r = requests.get(url)
with open(path , "w") as f:
f.write(r.text)
url="https://www.learncbse.in/ncert-solutions-for-class-10-english-literature/"
fe... | dsc-gtbit/Hacktoberfest-2023-WebDev | Web Scraping/Web Scraping.py | Web Scraping.py | py | 365 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "requests.get",
"line_number": 6,
"usage_type": "call"
}
] |
32061857397 | """RecipeBase URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/3.2/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-ba... | djangoner/RecipeBase | recipes/urls.py | urls.py | py | 1,995 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "rest_framework.routers.DefaultRouter",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "rest_framework.routers",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "recipes.views.StatsViewset",
"line_number": 37,
"usage_type": "argument"
},... |
6649249684 | import logging
from flask import jsonify, request
from flask_swagger import swagger
from flask_swagger_ui import get_swaggerui_blueprint
from ocean_provider.constants import BaseURLs, Metadata
from ocean_provider.myapp import app
from ocean_provider.routes import services
from ocean_provider.utils.basics import get_co... | oceanprotocol/provider | ocean_provider/run.py | run.py | py | 3,539 | python | en | code | 25 | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask.request.scheme",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "flask.reque... |
73811586273 | import json
from flask import current_app as app, request, session
from flask_login import login_user, current_user
import models
from utils import request_json, get_https_conn, success, failed, user_to_dict, sort_models, stop, hash_pwd, str_rand
from plugins.fileHelper import save_remote_pic
from plugins.ResourceContr... | dickhfchan/borocol | server/controllers/GoogleAuthController.py | GoogleAuthController.py | py | 5,429 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "models.user",
"line_number": 56,
"usage_type": "attribute"
},
{
"api_name": "flask_login.login_user",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "utils.success",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "flask.session",... |
43514752978 | '''
1010. 总持续时间可被 60 整除的歌曲
在歌曲列表中，第 i 首歌曲的持续时间为 time[i] 秒。
返回其总持续时间（以秒为单位）可被 60 整除的歌曲对的数量。形式上，我们希望索引的数字 i 和 j 满足 i < j 且有 (time[i] + time[j]) % 60 == 0。
示例 1：
输入：[30,20,150,100,40]
输出：3
解释：这三对的总持续时间可被 60 整数：
(time[0] = 30, time[2] = 150): 总持续时间 180
(time[1] = 20, time[3] = 100):... | km1994/leetcode | topic9_hash_table/T1010_numPairsDivisibleBy60/interview.py | interview.py | py | 1,432 | python | zh | code | 24 | github-code | 1 | [
{
"api_name": "collections.defaultdict",
"line_number": 27,
"usage_type": "call"
}
] |
72143594595 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from typing import Optional
import warnings
from .base import TemplateWidget, Block
from .buttons import ModalButton, CollapseButton, LinkButton, FormButton
class BasicHeader(TemplateWidget):
"""
The base header class, which contains the bulk of the functionalit... | caltechads/django-wildewidgets | wildewidgets/widgets/headers.py | headers.py | py | 8,800 | python | en | code | 9 | github-code | 1 | [
{
"api_name": "base.TemplateWidget",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "typing.Optional",... |
216313915 | import datetime
import pytz
# Cogs Configuration
cogs = ["cog_manager", "currency", "moderation", "miscellaneous"]
# Moderation Configuration
filtered = ["dick"]
# Bot Configuration
name = "Dreamworld"
shop_emoji = None
shop_categories = ["mlbb", "genshin", "roblox", "valorant", "discord", "roles"]
formal_shop_cate... | MothTheMortal/dreamworld | config.py | config.py | py | 11,845 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "pytz.timezone",
"line_number": 160,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 161,
"usage_type": "call"
}
] |
3246717195 | from pathlib import Path, PurePath
import xlrd
import xlwt
src_path = '/Users/miraclewong/github/PythonPractice/python_productivity/调查问卷'
# dst_file = '/Users/miraclewong/github/PythonPractice/python_productivity/result/结果.xlsx'
dst_path = '/Users/miraclewong/github/PythonPractice/python_productivity/工资单/工资单.xlsx'
p ... | MiracleWong/PythonPractice | python_productivity/01_excel_merge_spilt.py | 01_excel_merge_spilt.py | py | 2,362 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pathlib.Path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pathlib.PurePath",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "xlrd.open_workbook",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "xlwt.Workbook",
"... |
8490813014 | import numpy as np
import geopandas as gp
import shapely
import pyresample
import pandas as pd
import xarray as xr
import sys
import os
from pyposeidon.utils.coastfix import simplify
# logging setup
import logging
logger = logging.getLogger(__name__)
def fix(dem, coastline, **kwargs):
# ------------------------... | ec-jrc/pyPoseidon | pyposeidon/utils/fix.py | fix.py | py | 16,054 | python | en | code | 17 | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "geopandas.GeoDataFrame.from_file",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "geopandas.GeoDataFrame",
"line_number": 26,
"usage_type": "attribute"
},
{
"ap... |
14236671750 | import cv2
import imutils
import sys
import math
import tkinter as tk
import numpy as np
from colormath.color_objects import sRGBColor, LabColor
from colormath.color_conversions import convert_color
from colormath.color_diff import delta_e_cie2000
# import pickle
np.set_printoptions(threshold=sys.maxsize)
PERFECT_HEX... | kashmoney2000/catan-spot-chooser | cv.py | cv.py | py | 12,931 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "numpy.set_printoptions",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sys.maxsize",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "cv2.boundingRect",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "colormath.co... |
42952895279 | import uproot#3 as uproot
import numpy as np
import pandas as pd
from tqdm import tqdm
import torch
import dgl
from dgl import backend as F
from torch.utils.data import Dataset, DataLoader, Sampler
#from modules.fixed_radius_graph import FixedRadiusNNGraph
#from dgl.geometry.pytorch import FarthestPointSampler
lay... | atlas-calo-ml/ML4PIONS_GRAPH | modules/ML4Pions_Dataset.py | ML4Pions_Dataset.py | py | 19,597 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 74,
"usage_type": "name"
},
{
"api_name": "uproot.open",
"line_number": 78,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line_number": 104,
"usage_type": "call"
},
{
"api_name": "dgl.rand_graph",
... |
8518140724 | import gzip
import os
import logging
from functools import partial
import numpy as np
import numpy.ma as ma
from pyg2p import Loggable
from . import grib_interpolation_lib
from .latlong import LatLong
from .scipy_interpolation_lib import ScipyInterpolation, DEBUG_BILINEAR_INTERPOLATION, DEBUG_ADW_INTERPOLATION, \
... | ec-jrc/pyg2p | src/pyg2p/main/interpolation/__init__.py | __init__.py | py | 21,232 | python | en | code | 5 | github-code | 1 | [
{
"api_name": "pyg2p.Loggable",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "pyg2p.util.files.filename",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "pyg2p.util",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "latlong.LatL... |
18540755230 | import string
import time
from copy import deepcopy
from math import sqrt
from random import shuffle, sample, random, choice
from typing import Set, List
import numpy as np
from tensorflow.python.keras.utils.np_utils import to_categorical
from utils import Grid, Region_map, Rule, Move, calc_dim, calc_moveset, EMPTY, C... | ST3LL/Projet_PTS-DIA_13 | sudoku_base.py | sudoku_base.py | py | 6,974 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "utils.Grid",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "utils.Grid",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "utils.Region_map",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "typing.Set",
"line_number"... |
73823335394 |
# import necessary libraries
import numpy as np
import matplotlib.pyplot as plt
from sklearn import cluster, datasets, mixture
from sklearn.preprocessing import StandardScaler
from itertools import cycle, islice
import warnings
# for reproducibility
np.random.seed(201277)
# ============
# Generate data
# =======... | ArkaB-DS/SpectralClustering | Codes/comparisons.py | comparisons.py | py | 3,418 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "numpy.random.seed",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "sklearn.datasets.make_circles",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "skl... |
28883027729 | from flask import (
redirect,
request,
session,
render_template,
url_for,
Blueprint,
)
main = Blueprint('main', __name__)
@main.route('/', methods=['GET', 'POST'])
def index():
if request.method == 'POST':
name = request.form.get('name')
if not name:
return red... | LeeW-jc/chat-by-websocket | routes/main_route.py | main_route.py | py | 616 | python | en | code | 4 | github-code | 1 | [
{
"api_name": "flask.Blueprint",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "flask.request... |
35635936481 | import numpy as np
import sympy
import matplotlib.pyplot as plt
import copy
param_names=["K", "r"]
params={x:sympy.symbols(x) for x in param_names}
t=sympy.symbols("t")
p0=sympy.symbols("P0")
P_t=params["K"]/(1+(sympy.exp(-params["r"]*t)*(params["K"]-p0)/p0))
P_t=(params["K"]*p0*sympy.exp(params["r"]*t))/(params["K"]+... | HOLL95/General_electrochemistry | Theory/FIM/sympy_fim_logistic.py | sympy_fim_logistic.py | py | 2,056 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "sympy.symbols",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sympy.symbols",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sympy.symbols",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sympy.exp",
"line_number":... |
9903202895 | from django.urls import reverse_lazy
from django.views.generic import ListView
from django.views.generic.edit import CreateView
from django.views.generic.detail import DetailView
from django.views.generic.edit import UpdateView
from django.views.generic.edit import DeleteView
from .models import Thing
class ThingLis... | oryon-dominik/skeleton-django-postgres-docker | apps/things/views.py | views.py | py | 1,089 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "django.views.generic.ListView",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "models.Thing",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "django.views.generic.edit.CreateView",
"line_number": 17,
"usage_type": "name"
},
{
"a... |
38806556181 | import cv2
archivo_video = './videos/video.avi'
fourcc = cv2.VideoWriter_fourcc(*'DIVX')
# Se establece que el video se almacena el contenido en la variable archivo_video con una tasa de refresco
# de 20 cuadros/segundo y una resolucion 640x480
video = cv2.VideoWriter(archivo_video, fourcc, 20, (640, 480))
camara =... | omarjcm/p59-programacion_hipermedial | code/ra/02_camara.py | 02_camara.py | py | 785 | python | es | code | 1 | github-code | 1 | [
{
"api_name": "cv2.VideoWriter_fourcc",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.VideoWriter",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
... |
86663640809 | from django.urls import path,include,re_path
from django.conf.urls import url
from . views import *
from . import views
app_name="home"
urlpatterns = [
path("", views.home, name="home"),
path("projectadd", views.addproject, name="addproject"),
path("projectadded", views.projectadded, name="projectadded")... | sourabh-art/ufaber | projects/urls.py | urls.py | py | 901 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "django.urls.path",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "views.home",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "django.urls.path",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "views.addproject",
... |
17144967943 | import datetime
from django.test import TestCase
from Test_Designing.forms import TestCreateForm, QuestionForm
from Result_Analysis.models import Teacher
from django.contrib.auth.models import User
from Discussion_Forum.models import *
class ExamFormTest(TestCase):
name = 'ASE Quiz 1'
description = 'ASE Quiz... | BrijeshBumrela/Scholaris | Scholaris/testModule/test_forms.py | test_forms.py | py | 1,804 | python | en | code | 3 | github-code | 1 | [
{
"api_name": "django.test.TestCase",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "datetime.date.today",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "django.con... |
39651466436 | import logging
import os
from twisted.internet import reactor
from .extra.kv_client import KvClient
from .hipchat_api import HipChatApi
from .hipchat_db import HipchatUserDb
from .hipchat_xmpp import make_client
from .schedule import Schedule
from .util.config import init_config, write_config_file_utf8
from .util.day... | LipuFei/team-hipchat-bot | bot/bot.py | bot.py | py | 2,874 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "util.config.init_config",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "util.daysoff_parser.DaysOffParser",
"line_number": 37,
"usage_type": "call"
},
{
"api_n... |
35388028773 | from sklearn.ensemble import GradientBoostingRegressor
from xgboost import XGBRegressor
from catboost import CatBoostRegressor
import pandas as pd
import numpy
from numpy import ndarray
def df_processing(df, df_test):
df.drop('genres', axis=1, inplace=True)
df_test.drop('genres', axis=1, inplace=True)
... | akozlovskaya/ml_msu | GradBoost/awards_prediction.py | awards_prediction.py | py | 2,479 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "pandas.DataFrame",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pandas.concat",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pandas.concat",
"... |
32599542666 | #!/usr/bin/python3
from typing import List
import json
from bplib.butil import TreeNode, arr2TreeNode, btreeconnect
from collections import deque
# Definition for a Node.
class Node:
def __init__(self, val: int = 0, left: 'Node' = None, right: 'Node' = None, next: 'Node' = None):
self.val = val
s... | negibokken/sandbox | leetcode/117_populating_next_right_pointers_in_each_node_II/main.py | main.py | py | 907 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "collections.deque",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "bplib.butil.arr2TreeNode",
"line_number": 36,
"usage_type": "argument"
},
{
"api_name": "bplib.butil... |
32620909163 | from xml.parsers import expat
import textInfos
from logHandler import log
class XMLTextParser(object):
def __init__(self):
self.parser=expat.ParserCreate('utf-8')
self.parser.StartElementHandler=self._startElementHandler
self.parser.EndElementHandler=self._EndElementHandler
self.parser.CharacterDa... | atsuoishimoto/tweetitloud | source/XMLFormatting.py | XMLFormatting.py | py | 1,394 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "xml.parsers.expat.ParserCreate",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "xml.parsers.expat",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "textInfos.ControlField",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": ... |
31617496117 | import datetime,json
from django.test import TestCase
from rest_framework import status
from rest_framework.test import APITestCase
from StringIO import StringIO
from rest_framework.parsers import JSONParser
from django.utils import timezone
from django.core.urlresolvers import reverse
from django.test import Client
... | EdgeCaseBerg/whoseopinion.com | api/questions/tests.py | tests.py | py | 17,831 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "questions.models.Category.objects.create",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "questions.models.Category.objects",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "questions.models.Category",
"line_number": 22,
"usage_typ... |
20648101318 | #!/usr/bin/env python
# coding: utf-8
# In[2]:
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
# In[3]:
df=pd.read_csv(r"C:\Users\lenovo\Downloads\CarDataSet.csv")
# In[4]:
df
# In[5]:
df=df.drop('New_Price',axis=1)
# In[6]:
df=df.dropna()
# In[7]:
df
# In[8]:
df['Milea... | HardeshPratap/Used-car-sales-analysis | ML Project.py | ML Project.py | py | 4,208 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pandas.read_csv",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 141,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 141,
"usage_type": "name"
},
{
"api_name": "matplotl... |
37774782473 | import numpy as np
import pandas as pd
from sklearn.feature_extraction.text import CountVectorizer
import project.data.preprocess_data as preprocess
import torch
from sklearn.preprocessing import LabelEncoder
from pytorch_pretrained_bert import BertTokenizer
def tokenize_input(baseline_text, context_text, split, token... | Sanger2000/Predicting-Lung-Cancer-Disease-Progression-from-CT-reports | project/data/make_features.py | make_features.py | py | 5,785 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pytorch_pretrained_bert.BertTokenizer.from_pretrained",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pytorch_pretrained_bert.BertTokenizer",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "project.data.preprocess_data.preprocess_tokens",
... |
14124670906 | # encoding: utf-8
import datetime
from south.db import db
from south.v2 import DataMigration
from django.db import models
SETTINGS_RENAMES = (
("SHOP_SSL_ENABLED", "SSL_ENABLED"),
("SHOP_SSL_FORCE_HOST", "SSL_FORCE_HOST"),
)
class Migration(DataMigration):
def forwards(self, orm):
"Write your f... | phodal/echoes | conf/migrations/0004_ssl_account_settings_rename.py | 0004_ssl_account_settings_rename.py | py | 1,887 | python | en | code | 14 | github-code | 1 | [
{
"api_name": "south.v2.DataMigration",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "django.db.models",
"line_number": 39,
"usage_type": "name"
}
] |
32053631377 | import csv
import json
import sys
import traceback
from bs4 import BeautifulSoup
from time import sleep
import os
from get_restaurants_list import check_element_by_xpath, wait_to_display, load_restaurants, save_restaurants
from utils import VERSION, log, launch_driver, save_file
# 主方法
def get_restaurant_info(r):
... | djangommq/ifood | src_v0/get_restaurants_info.py | get_restaurants_info.py | py | 12,563 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "utils.launch_driver",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "utils.log",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "utils.log",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number... |
72592409635 | import json
from lemon.app import Lemon
from lemon.const import HTTP_METHODS
from lemon.request import HttpHeaders
class ASGIResponse:
def __init__(self, status, headers: HttpHeaders, content):
self.status = status
self.headers = headers
self.content = content
@property
def statu... | joway/lemon | tests/asgi.py | asgi.py | py | 3,904 | python | en | code | 28 | github-code | 1 | [
{
"api_name": "lemon.request.HttpHeaders",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "json.loads",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "lemon.app.Lemon",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "json.dumps",
... |
3150635854 | """citeseer_rnm.py
The domain knowledge here is represented in paper connections p1 and p2 which tend to be about
the same topic. For example:
∀p1 ∀p2 AG(p1 ) ∧ Cite(p1 , p2 ) → AG(p2 )
Where Cite is an evidence predicate (value over the groundings is known a priori), determining whether
a pattern cites another one.
"... | samuelebortolotti/rnm | citeseer_rnm.py | citeseer_rnm.py | py | 12,360 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.environ",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.get_logger",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.path",
"lin... |
70977147233 | """Training module for nondefaced-detector."""
import os
import math
import tensorflow as tf
import pandas as pd
import numpy as np
from sklearn.utils import class_weight
from tensorflow.keras import backend as K
from tensorflow.keras import metrics
from tensorflow.keras.optimizers import Adam
from tensorflow.keras... | nipreps/nondefaced-detector | nondefaced_detector/training/training.py | training.py | py | 6,609 | python | en | code | 6 | github-code | 1 | [
{
"api_name": "tensorflow.math.exp",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "tensorflow.math",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "os.path",
"... |
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