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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
8407358533 | from loguru import logger
from sqlite3 import Connection
class Repo:
def __init__(self, db: Connection):
self.db = db
def create_schema(self):
with open('database/init.sql') as f:
script = f.read()
self.db.executescript(script)
def... | hermanguilliman/boorubot | repo.py | repo.py | py | 3,078 | python | ru | code | 0 | github-code | 1 | [
{
"api_name": "sqlite3.Connection",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "loguru.logger.info",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "loguru.logger",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "loguru.logger.debu... |
38782292285 | import logging
import itertools
import pytz
from parsedatetime import Calendar
from tzlocal import get_localzone
from .dbmanager import get_lastest_problem_id, Submission
from .utils import WebsiteSession
LOGGER = logging.getLogger(__name__)
class ScraperMeta(type):
name = 'Scraper'
loaded = {}
register... | yehzhang/Show-My-Solutions | show_my_solutions/scrapers.py | scrapers.py | py | 5,946 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "parsedatetime.Calendar",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "utils.WebsiteSession",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "tzlocal.... |
71721970275 | import torch
import torch.nn as nn
import numpy as np
import sys
import os
sys.path.append(os.path.join(os.getcwd(), "lib")) # HACK add the lib folder
from models.backbone_module import Pointnet2Backbone
from models.voting_module import VotingModule
from models.proposal_module import ProposalModule
from models.graph_m... | daveredrum/Scan2Cap | models/capnet.py | capnet.py | py | 4,977 | python | en | code | 89 | github-code | 1 | [
{
"api_name": "sys.path.append",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": ... |
31037849632 | from setuptools import setup
install_requires = [
# NOTE: Apache Beam tests depend on this library and cannot
# currently upgrade their httplib2 version.
# Please see https://github.com/googleapis/google-api-python-client/pull/84
"httplib2>=0.9.2,<1dev",
"google-auth>=1.16.0",
"google-auth-http... | edwinnab/vm-network-migration | setup.py | setup.py | py | 724 | python | en | code | null | github-code | 1 | [
{
"api_name": "setuptools.setup",
"line_number": 18,
"usage_type": "call"
}
] |
72143448995 | import datetime
from typing import Any, Dict, List, Type, TypeVar, Union
import attr
from dateutil.parser import isoparse
from ..types import UNSET, Unset
T = TypeVar("T", bound="PatchedPipelineInvocation")
@attr.s(auto_attribs=True)
class PatchedPipelineInvocation:
"""Dynamically removes fields from serialize... | caltechads/brigid-api-client | brigid_api_client/models/patched_pipeline_invocation.py | patched_pipeline_invocation.py | py | 2,948 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "typing.TypeVar",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "typing.Union",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "types.Unset",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "types.UNSET",
"line_number... |
4474715554 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Jan 2 13:44:25 2021
@author: Scott T. Small
This module demonstrates documentation as specified by the `NumPy
Documentation HOWTO`_. Docstrings may extend over multiple lines. Sections
are created with a section header followed by an underline of equal... | stsmall/abc_scripts2 | project/stat_modules/popstats.py | popstats.py | py | 6,127 | python | en | code | 3 | github-code | 1 | [
{
"api_name": "numpy.float",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "numpy.float",
"line_number": 43,
... |
24858642559 | # -*- coding: utf-8 -*-
import datetime
from django.core.paginator import Paginator
from django.shortcuts import render, get_object_or_404
from blogs.models import Post
def index(request):
posts = Post.objects.filter(visible=True).order_by('-created')
try:
page = int(request.GET.get('page'))
ex... | wd5/abakron | abakron/apps/blogs/views.py | views.py | py | 681 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "blogs.models.Post.objects.filter",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "blogs.models.Post.objects",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "blogs.models.Post",
"line_number": 11,
"usage_type": "name"
},
{
... |
71602513635 | # -*- coding: utf-8 -*-
"""
Converts the Microsoft Band GPS data to the open GPX format.
WORK IN PROGRESS
"""
import json
from pprint import pprint
import re
import matplotlib.pyplot as plt
import seaborn as sea
import datetime as dt
import matplotlib.dates as dates
import argparse
import isodate
import itertools as... | cryptogramber/Microsoft-Band-Utils | Band-Data-Analysis/ConvertBandGPX.py | ConvertBandGPX.py | py | 9,152 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "re.search",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 41,
"us... |
73498023712 | import setuptools
from ast import literal_eval
name = 'asterion'
with open(f'{name}/version.py') as file:
# Assuming version.py follows format __version__ = '<version_string>'
line = file.readline().strip()
version = literal_eval(line.split(' = ')[1])
description = 'Fits the asteroseismic helium-II ionis... | alexlyttle/asterion | setup.py | setup.py | py | 1,415 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "ast.literal_eval",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "setuptools.setup",
"line_number": 35,
"usage_type": "call"
}
] |
16819999895 | from requests import Session
from requests.structures import CaseInsensitiveDict
class BaseSession(Session):
def __init__(self, driver_cookie: dict):
super().__init__()
self.verify = False
self.headers = CaseInsensitiveDict(
{'Content-Type': 'application/x-www-form-urlencoded'... | fonbeauty/developer_portal | common/sessions.py | sessions.py | py | 408 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "requests.Session",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "requests.structures.CaseInsensitiveDict",
"line_number": 10,
"usage_type": "call"
}
] |
26554305585 | """Module containing the classes Contingency and ContingencyType."""
from enum import unique, Enum
from copy import deepcopy
from collections import defaultdict
import logging
from typing import Any, Callable, Set as TgSet, Dict, List, Optional
from rxncon.core.effector import Effector, StructEquivalences, QualSpec,... | rxncon/rxncon | rxncon/core/contingency.py | contingency.py | py | 9,032 | python | en | code | 9 | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "enum.Enum",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "enum.unique",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "rxncon.core.reaction.Reaction... |
29876622273 | #!/usr/bin/env python
import os
import sys
import re
try:
from setuptools import setup
setup
except ImportError:
from distutils.core import setup
setup
if sys.argv[-1] == "publish":
os.system("python setup.py sdist upload")
sys.exit()
# Handle encoding
major, minor1, minor2, release, serial =... | jpdeleon/exoplanet_class | simfit_master/setup.py | setup.py | py | 1,456 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "setuptools.setup",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "distutils.core.setup",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "sys.argv",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.system",
"l... |
413504280 | # pylint: disable=W0621,C0114,C0116,W0212,W0613
import pathlib
from typing import Optional
import pytest
from dae.testing.foobar_import import foobar_gpf
from dae.studies.study import GenotypeData
from dae.testing import setup_pedigree, setup_vcf, vcf_study
from dae.utils.regions import Region
from dae.genotype_stora... | iossifovlab/gpf | dae/tests/integration/study_query_variants/test_allele_frequency.py | test_allele_frequency.py | py | 4,279 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "pytest.TempPathFactory",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "dae.testing.setup_vcf",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "dae.testing.setup_pedigree",
"line_number": 41,
"usage_type": "call"
},
{
"api_... |
33499385148 | import os
import subprocess
import sys
import uuid
import dmake.common as common
from dmake.common import DMakeException, SharedVolumeNotFoundException, append_command
from dmake.deepobuild import DMakeFile
tag_push_error_msg = "Unauthorized to push the current state of deployment to git server. If the repository bel... | Deepomatic/dmake | dmake/core.py | core.py | py | 58,937 | python | en | code | 37 | github-code | 1 | [
{
"api_name": "dmake.common.run_shell_command",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "dmake.common",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "os.path.normpath",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path"... |
27847975086 | from PyQt5.QtWidgets import QWidget, QApplication, QLabel, QSlider, QPushButton, QLineEdit, QGridLayout
from PyQt5.QtCore import Qt
import sys
import serial
#The following line is for serial over GPIO
port = 'COM3'
ard = serial.Serial(port,9600,timeout=5)
class Slider_Control(QWidget):
def __init__(self... | zlby/Robotic-Arm | control_UI.py | control_UI.py | py | 7,319 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "serial.Serial",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QLabel",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtW... |
36317609380 | # coding=utf-8
"""Resources API feature tests."""
__copyright__ = 'Copyright (c) 2020, Utrecht University'
__license__ = 'GPLv3, see LICENSE'
from pytest_bdd import (
given,
parsers,
scenarios,
then,
)
from conftest import api_request
scenarios('../../features/api/api_resources.feature')
@given(... | peer35/irods-ruleset-uu | tests/step_defs/api/test_api_resources.py | test_api_resources.py | py | 6,600 | python | en | code | null | github-code | 1 | [
{
"api_name": "pytest_bdd.scenarios",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "conftest.api_request",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pytest_bdd.given",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pytest_bdd... |
3804617895 | import sys
sys.path.insert(0, 'src/vendor')
from imdb import IMDb
from imdb import helpers
ia = IMDb()
h = helpers()
def multipleMovies(title, allMoviesWithName, movie):
if(len(allMoviesWithName) == 1):
movie = ia.get_movie(allMoviesWithName[0].movieID)
else:
filterBy = input(f'Multiple items named "{title}" ... | allisontharp/laughtrack | backend/datapull/imdbFuncs.py | imdbFuncs.py | py | 2,816 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "sys.path.insert",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "imdb.IMDb",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "imdb.helpers",
"line_number"... |
22129992552 | import discord, asyncio, requests, datetime
# -- INIT --
POST_TIME_H = 6
POST_TIME_M = 0
POST_TIME_S = 0
BOT_EMAIL = ''
BOT_PASS = ''
KEY = ''
CHAN_ID = ''
# Connect to client
client = discord.Client()
def apiGet(url):
response = requests.get(url)
return response.json()
def randomWord():
url = "ht... | resloved/word-of-the-day-discord | wotd.py | wotd.py | py | 2,554 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "discord.Client",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "discord.Object",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
... |
8556892866 | # coding:utf8
__author__ = 'Marcelo Ferreira da Costa Gomes'
# Apply filters of interest in a dataframe containing SINAN-SRAG data
import pandas as pd
import numpy as np
import argparse
import logging
import re
from argparse import RawDescriptionHelpFormatter
from .insert_epiweek import insert_epiweek
from .delay_tabl... | FluVigilanciaBR/seasonality | methods/data_filter/sinan_filter_of_interest.py | sinan_filter_of_interest.py | py | 47,482 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pandas.Series",
"line_number": 256,
"usage_type": "attribute"
},
{
"api_name": "pandas.notna",
"line_number": 257,
"usage_type": "call"
},
{
"api_name": "pandas.Series",
... |
42557553956 | from fastapi import FastAPI, HTTPException
from pydantic import BaseModel
class Line(BaseModel):
matter: str
teacher: str
coef: float
ects: float
cc1: float
cc2: float
exam: float
app = FastAPI()
@app.get("/grades")
def grades():
with open("exportFIles/note.txt", "r", encoding="utf... | Alex061998/ScrapperPython | api.py | api.py | py | 2,717 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pydantic.BaseModel",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "fastapi.FastAPI",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "fastapi.HTTPException",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "fastapi.HTTPE... |
42896814245 | from tokenizers import BertWordPieceTokenizer
import numpy as np
import argparse
import torch
parser = argparse.ArgumentParser(description="Numerize text into numpy format")
parser.add_argument('--vocab', default='path/to/vocab.txt',
help="path to vocabulary file")
parser.add_argument('--merge', de... | alexa/ramen | code/utils/numerize.py | numerize.py | py | 3,426 | python | en | code | 17 | github-code | 1 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "tokenizers.BertWordPieceTokenizer",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "numpy.uint16",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": ... |
30840715674 | import random
import string
import cv2
import os
import argparse
BASE_DIR = os.getcwd()
def cut_img(image, column_num, row_num, prefix_name):
"""
image: 이미지 경로
column_num: 가로로 자를 갯수
row_num: 세로로 자를 갯수
prefix_name: 고정된 이름
"""
if os.path.isdir(os.path.join(BASE_DIR, 'cuted_img')):
f... | yyeseull/Assignment | image_cut_merge/cut_image.py | cut_image.py | py | 2,100 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.getcwd",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path.isdir",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number":... |
39721890455 | # -*- coding: utf-8 -*-
"""
Created on Tue Jul 14 20:21:07 2020
@author: gabriel bustamante
"""
import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
def get_attributes_list(information_level, attributes_description):
attributes_list = list(attributes_descri... | gabrielbfs/ArvatoProject_workbook | arvato_project.py | arvato_project.py | py | 2,654 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 53,
"usage_type": "name"
},
{
"api_name": "seaborn.heatmap",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "matplotlib... |
31511216914 | from pathlib import Path
from itertools import zip_longest
f = open(Path(__file__).resolve().parent / 'input.txt')
# eval would have been easier ...
def read_packet(s):
def read(s,p):
if s[p] == '[':
return read_list(s,p)
return read_number(s,p)
def read_number(s,p):
e = p
while s[e].isdigit... | andiwand/adventofcode | 2022/day13/solution.py | solution.py | py | 1,641 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "pathlib.Path",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "itertools.zip_longest",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "functools.cmp_to_key",
"line_number": 83,
"usage_type": "call"
}
] |
43655547493 | from django import views
from django.contrib.auth.mixins import LoginRequiredMixin
from django.shortcuts import render
from .forms import ProfileChangeForm
class ProfileView(LoginRequiredMixin, views.View):
template_name = "LK.html"
form_class = ProfileChangeForm
def get(self, request, *args, **kwargs):... | Rimasko/touristik_site | ekvatour/users/views.py | views.py | py | 1,177 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "django.contrib.auth.mixins.LoginRequiredMixin",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.views.View",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "django.views",
"line_number": 8,
"usage_type": "name"
},
{
"ap... |
17441169318 | from bs4 import BeautifulSoup
import sqlite3
import urllib.request
import urllib.error
import re
import xlwt
def main():
baseurl = 'https://www.liepin.com/zhaopin/?sfrom=click-pc_homepage-centre_searchbox-search_new&dqs=010&key=JAVA'
datalist = getdata(baseurl)
savepath = ".\\职位信息"
print(datalist)
#... | waji785/py-spide | main/website crawl.py | website crawl.py | py | 3,302 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "urllib.request.request.Request",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "urllib.request.request",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "urllib.request",
"line_number": 25,
"usage_type": "name"
},
{
"api_nam... |
4685574067 | import numpy as np
import pandas as pd
from sklearn.base import BaseEstimator, TransformerMixin
from sklearn.pipeline import make_pipeline
from sklearn.linear_model import LinearRegression
from plots import plot_series
from sunspots import error, get_data, sklearn_formatting
class GaussianFeatures(BaseEstimator, Tr... | rkhood/forecasting | linear.py | linear.py | py | 1,507 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "sklearn.base.BaseEstimator",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "sklearn.base.TransformerMixin",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "numpy.exp",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "nu... |
32918003515 | import glob
import io
import logging
import re
import textwrap
import traceback
from contextlib import redirect_stdout
import discord
from discord.ext import commands
from discord.ext.commands import Cog, Bot, Context
from cogs.commands import settings
from utils import embeds
from utils.record import record_usage
#... | richtan/chiya | cogs/commands/moderation/administration.py | administration.py | py | 13,552 | python | en | code | null | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "discord.ext.commands.Cog",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "discord.ext.commands.before_invoke",
"line_number": 37,
"usage_type": "call"
},
{
"api... |
18684839781 | #==== MOVIE ADMIN VIEWS ====
from django.shortcuts import render, get_object_or_404
from django.urls import reverse
from django.http import HttpResponseRedirect
from django.contrib.auth import authenticate
from movies.models import *
from Metflix.settings import MEDIA_ROOT, MEDIA_URL
import os
# Create your views ... | nall3n/Metflix | Metflix/movie_admin/views.py | views.py | py | 2,226 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "Metflix.settings.MEDIA_ROOT",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "Metflix.settings.MEDIA_ROOT",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "movies.models",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": ... |
34366092564 | # -*- coding: utf-8 -*-
from builtins import object
from PyQt5 import QtCore, QtGui, QtWidgets
try:
_fromUtf8 = QtCore.QString.fromUtf8
except AttributeError:
_fromUtf8 = lambda s: s
class Ui_qgsnewhttpconnectionbase(object):
def setupUi(self, qgsnewhttpconnectionbase):
qgsnewhttpconnectionbase.s... | kalxas/rasdaman | applications/qgis-wcps/qgis3/QgsWcpsClient1/qgsnewhttpconnectionbase.py | qgsnewhttpconnectionbase.py | py | 2,617 | python | en | code | 4 | github-code | 1 | [
{
"api_name": "PyQt5.QtCore.QString",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtCore",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "builtins.object",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.... |
12195682849 | """Point cloud generation functions to test benchmarks of rotation invariant functions
"""
from dataclasses import dataclass
from functools import lru_cache
import numpy as np
import torch
from numpy.linalg import norm
from scipy.spatial.transform import Rotation
from scipy.spatial.transform import Rotation as R
def... | ymentha14/se3_molecule_generation | src/ri_distances/pnt_cloud_generation.py | pnt_cloud_generation.py | py | 7,508 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "torch.tensor",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.float32",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.permutation",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "numpy.random... |
5282218579 | from django.urls import path
from .views import (
PdfextListView,
PdfextDetailView,
PdfextCreateView,
PdfextUpdateView,
PdfextDeleteView,
UserPdfextListView,
PdfextConvertView,
)
from . import views
urlpatterns = [
path('', PdfextListView.as_view(), name='pdfext-home'),
path('user/<... | perpertuallearner/all_about_pdfs | pdfext/urls.py | urls.py | py | 1,070 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.urls.path",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "views.PdfextListView.as_view",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "views.PdfextListView",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "dj... |
9618399050 | from itertools import groupby
lis = [1, 2, 2, 3, 4, 4, 4, 4]
print(list(groupby(lis)))
things = [("animal", "bear"), ("animal", "duck"), ("plant", "cactus"), ("vehicle", "speed boat"), ("vehicle", "school bus")]
for key, group in groupby(things, lambda x: x[0]):
for thing in group:
print("A %s is a %s." %... | hemantkgupta/Python3 | itertools/groupby.py | groupby.py | py | 518 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "itertools.groupby",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "itertools.groupby",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "itertools.groupby",
"line_number": 12,
"usage_type": "call"
}
] |
32068119633 | from selenium import webdriver
import time
import math
try:
browser = webdriver.Chrome()
link = "http://suninjuly.github.io/redirect_accept.html"
browser.get(link)
browser.find_element_by_tag_name("button").click()
#confirm = browser.switch_to.alert
#confirm.accept()
windows = browser.wind... | EkS2018/stepik-selenium | 21.py | 21.py | py | 961 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "math.log",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "math.sin",
"l... |
22078780419 | import ast
import inspect
class Unpacking(ast.AST):
_attributes = ()
_fields = ("value",)
def __init__(self, value, counter, starred=False):
self.value = value
self.counter = counter
self.starred = starred
class ForTargetPlaceholder(ast.AST):
_attributes = ()
_fields = (... | percevalw/pygetsource | pygetsource/ast_utils.py | ast_utils.py | py | 8,107 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "ast.AST",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "ast.AST",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "ast.AST",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "ast.AST",
"line_number": 28... |
43792968736 | # -*- coding:utf-8 -*-
__all__=['getDataGenerator']
import keras
from keras.preprocessing.image import ImageDataGenerator,array_to_img
from keras.datasets import cifar10
import numpy as np
import os
import pickle
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
def getDataGenerator(train_phase... | Kexiii/DenseNet-Cifar10 | data_input/data_input.py | data_input.py | py | 2,951 | python | en | code | 40 | github-code | 1 | [
{
"api_name": "matplotlib.use",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "keras.preprocessing.image.ImageDataGenerator",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "keras.preprocessing.image.ImageDataGenerator",
"line_number": 42,
"usage_type... |
31130560486 | """
@Filename: core/testcase/test_login.py
@Author: 小蔡
@Time: 2022/09/28 20:30
@Describe: ...
"""
import json
import requests
# def img2code(file):
# url = "http://47.106.70.21:5516/auth/login"
#
# data = {
# "user": "pengjiangchun",
# "pass2": "3eb5f9a3a31fb000969e696d7c3cc71f", # ... | 15946859495/UI_frame | core/until/funcs.py | funcs.py | py | 1,602 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "json.dumps",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 48,
"usage_type": "call"
}
] |
8926189595 | from django import forms
from django.contrib.auth.models import User
from django.contrib.auth import authenticate, login
from django.core.urlresolvers import reverse
from django.shortcuts import render, get_object_or_404
from django.contrib import messages
from django.http import HttpResponseRedirect
from users.models ... | austin15140/mysite | users/forms.py | forms.py | py | 6,567 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "django.forms.CharField",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "djang... |
36766820641 | """
HTTP client tool for Svom
Retries requests with power law delays and a max tries limit
@author: henri.louvin@cea.fr
"""
import threading
import time
import requests
import asyncio
import aiohttp
import signal
# Log
import logging
log = logging.getLogger('http_client')
class HttpClient(threading.Thread):
... | HSF/Crest | crestdb-client/python/cli/crest/io/httpio.py | httpio.py | py | 9,021 | python | en | code | 3 | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "threading.Thread.__init__",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "thr... |
3733088103 | # -*- coding: cp936 -*-
import matplotlib.pyplot as plt
import numpy as np
x = np.linspace(0, 2*np.pi, 50)
plt.subplot(3, 1, 1) # （行，列，活跃区）
plt.plot(x, np.sin(x), 'r')
plt.subplot(3, 1, 2)
plt.plot(x, np.cos(x), 'g')
plt.subplot(3, 1, 3)
plt.plot(x, np.tan(x), 'b')
plt.show()
# -*- coding: cp936 -*-
imp... | wsgan001/python-2 | 数据图形/图表.py | 图表.py | py | 3,281 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "numpy.linspace",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.subplot",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot... |
72869151394 | # This script will create all you need for a hunt group and tie it all together
# This creates a Line Group, Hunt List, and Pilot
# There's also logic to specify if you want calls to rona to a VM box
# If you want calls to rona to another number other than a VM box you will need to tweak the code a bit
from lxml impor... | jfletcher76/CiscoDEVUC | CUCM/addRequests/addHuntGroup.py | addHuntGroup.py | py | 7,503 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "zeep.Plugin",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "lxml.etree.tostring",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "lxml.etree",
"... |
72387942114 | """
Script to install Souma on OsX, Windows, and Unix
Usage:
python package.py py2app
python package.py py2exe
"""
import ez_setup
import numpy # important for py2exe to work
ez_setup.use_setuptools()
import sys
import os
from esky.bdist_esky import Executable
from setuptools import setup
if sys.platform ==... | cafca/souma | package.py | package.py | py | 7,972 | python | en | code | 5 | github-code | 1 | [
{
"api_name": "ez_setup.use_setuptools",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sys.platform",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "os.walk",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "os.path.join",
... |
71928968673 | import os
from pdfRecognition import pdfRecognition
import fitz
class pdfToPic():
def __init__(self,filepath,folderPath):
self.filepath = filepath
self.folderPath = folderPath
def pdfToPic(self):
pdfDoc = fitz.open(self.filepath)
for pg in range(pdfDoc.page_count):
... | Guanguanka/pdfTool | pdfToPic.py | pdfToPic.py | py | 979 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "fitz.open",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "fitz.Matrix",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 20,... |
71730197474 | import shutil
import os
import glob2
from tqdm import tqdm
train_path = '../data/train/'
test_path = '../data/test/'
if not os.path.exists(train_path):
os.makedirs(train_path)
if not os.path.exists(test_path):
os.makedirs(test_path)
test_num = 0
for filename in tqdm(glob2.glob('../data/dicom-images-test/**/... | kshannon/pneumothorax-segmentation | eda/move_data.py | move_data.py | py | 757 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "os.path.exists",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_numb... |
36997759739 | import sqlite3
from contextlib import closing
from typing import List, Dict, Union
table_name = "bot"
DBEntry = Dict[str, Union[str, int]]
def add_to_database(db_name: str, data: List[DBEntry]) -> int:
connection = sqlite3.connect(db_name)
with closing(connection):
cursor = connection.cursor()
... | quietsato/TwitterBotPy | botkun/lib/database.py | database.py | py | 3,521 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "typing.Dict",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "sqlite3.connect",
"line_number... |
29550588888 | import video
import funkcijos
import plotly.graph_objects as go
import math
dataList = list()
eUploader = 0
eAge = 0
eCategory = 0
eLength = 0
eViews = 0
eRate = 0
eRatings = 0
eComments = 0
atributeNames = list()
missingValues = list()
avarages = list()
medians = list()
mins = list()
maxs = list()
cardinalities = l... | winVIP/KTU-stuff | KTU semestras 6/Intelektika/Lab1/mainas.py | mainas.py | py | 20,500 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "video.Video",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "funkcijos.Funkcijos.Vidurkis",
"line_number": 94,
"usage_type": "call"
},
{
"api_name": "funkcijos.Funkcijos",
"line_number": 94,
"usage_type": "attribute"
},
{
"api_name": "fun... |
6331063126 | import numpy as np
from sklearn.datasets import make_moons
import matplotlib.pyplot as plt
import neural_network as nn
def plot_decision_boundary(pred_func, X, y):
x_min, x_max = X[:, 0].min() - 0.5, X[:, 0].max() + 0.5
y_min, y_max = X[:, 1].min() - 0.5, X[:, 1].max() + 0.5
h = 0.01
xx, yy = np.meshgr... | blackz54/cs491project3 | driver.py | driver.py | py | 1,364 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "numpy.meshgrid",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.c_",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.contourf"... |
4457682469 | 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
import pylibsort
import libff.invoke
# ol-install: numpy
# from memory_profiler import profile
import cProfile
import pstats
impor... | NathanTP/fakefaas | examples/sort/worker.py | worker.py | py | 4,313 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "pathlib.Path",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "io.StringIO",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "pstats.Stats",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "pstats.SortKey",
"line_numb... |
7053890236 | import sys, os
sys.path.append(os.path.join(os.path.dirname(os.path.abspath(__file__)),
"../datasets/"))
from mass_spring import get_dataset
import torch
import torch.nn as nn
import pytorch_lightning as pl
import numpy as np
import torch.utils.data as data
from TorchSnippet.energy import HNN
from Torc... | yantijin/TorchSnippet | example/energy/hnn_test.py | hnn_test.py | py | 2,156 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "sys.path.append",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": ... |
39000943657 | import torch
import numpy as np
from torchvision import transforms
from torch.utils.data import DataLoader
from torch.utils.data._utils.collate import default_collate
from .datasets import IuxrayMultiImageDataset, MimiccxrSingleImageDataset, KnowledgeDataset
class ToPILImage(object):
def __init__(self):
s... | LX-doctorAI1/GSKET | modules/dataloaders.py | dataloaders.py | py | 4,467 | python | en | code | 20 | github-code | 1 | [
{
"api_name": "torchvision.transforms.ToPILImage",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "torch.utils.data.DataLoader",
"line_number": 17,
"usage_type": "name"
},
{
... |
29499134745 |
import os
import secrets
from PIL import Image
from flask import render_template, url_for, flash, redirect, request, abort, jsonify, make_response
from app import app, db, bcrypt, mail
from forms import *
from models import *
from flask_login import login_user, current_user, logout_user, login_required
from datetime i... | alankhoangfr/NilStock_Inventory | routes/notificationRoutes.py | notificationRoutes.py | py | 5,177 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "flask.request.args.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "flask.request.args",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "datetime... |
20248498954 | import os, time, socket, threading, json
import paho.mqtt.client as mqtt
import h3.api.numpy_int as h3
import numpy as np
from scipy import stats
from geodata_toolbox import H3Grids
import matplotlib.pyplot as plt
class Indicator:
def __init__(self, H3, Table=None):
self.H3 = H3
self.h3_features = ... | csl-hcmc/SaiGon-Peninsula | Software/L3_SZ_CityScope-main/backend/indicator_toolbox.py | indicator_toolbox.py | py | 13,392 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "h3.api.numpy_int.edge_length",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "h3.api.numpy_int",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "h3.api.numpy_int.point_dist",
"line_number": 28,
"usage_type": "call"
},
{
"api_nam... |
20047483491 | import subprocess
from sys import exit
from itertools import combinations, permutations
from math import floor, ceil
# Facer lista de nxn coas reglas, para obter as filas e as columnas das regras
# Logo, con esto facemos as permutacions de 4 para a segunda regra
def filasColumnas(lista):
"""
:param lista: Lis... | AlejandroFernandezLuces/practicas-SAT | binairo.py | binairo.py | py | 8,893 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "math.floor",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "itertools.combinations",
"line_number": 172,
"usage_type": "call"
},
{
"api_name": "itertools.combinations",
"line_number": 184,
"usage_type": "call"
},
{
"api_name": "subprocess... |
23533446347 | from typing import List
class UnionFind:
"""
유니온 파인드 : 두 노드가 같은 그룹 인지 체크
"""
def __init__(self):
super().__init__()
self.parent: List[int] = []
def union(self, node_count: int, edge_list: List[List[int]]):
"""
유니온 연산 : 두 노드의 대표 노드끼리 연결
Args:
no... | jinyul80/algorithm_study | python/graph/union_find.py | union_find.py | py | 2,253 | python | ko | code | 0 | github-code | 1 | [
{
"api_name": "typing.List",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 13,
"usage_type": "name"
}
] |
41291806836 | import boto3
from botocore.exceptions import ClientError
import json
from botocore.vendored import requests
dynamodb = boto3.resource('dynamodb', region_name='us-east-1', endpoint_url="https://dynamodb.us-east-1.amazonaws.com")
subscriptions_table = dynamodb.Table('test')
AWS_REGION = "us-east-1"
SUBJECT = "newsApp -... | allexg/newsApp | email-newsletter-Lambda/lambda_function.py | lambda_function.py | py | 2,691 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "boto3.resource",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "boto3.client",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "botocore.exceptions.ClientError",
"line_number": 55,
"usage_type": "name"
},
{
"api_name": "botocore.v... |
32534904655 | # main source file
import os
from .utils import update_poe_env, check_config
import poe
class Poe:
def __init__(self, bot: str = "capybara"):
self.poe_token = check_config()
self.poe_proxy = os.getenv('POE_PROXY')
self.poe_client = poe.Client(self.poe_token, proxy=self.poe_proxy)... | Mushrr/poe_terminal_chat | poe_terminal_chat/poeterminal.py | poeterminal.py | py | 1,322 | python | en | code | 3 | github-code | 1 | [
{
"api_name": "utils.check_config",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "poe.Client",
"line_number": 11,
"usage_type": "call"
}
] |
14240741723 | import gym
import gymnasium
def gym_space_migration(gym_space: gym.Space) -> gymnasium.Space:
if isinstance(gym_space, gym.spaces.Discrete):
return gymnasium.spaces.Discrete(gym_space.n)
elif isinstance(gym_space, gym.spaces.Box):
return gymnasium.spaces.Box(
low=gym_space.low,
... | DevSlem/recommender-system-rl-tutorial | recsim_env/utils.py | utils.py | py | 1,103 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "gym.Space",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "gym.spaces",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "gymnasium.spaces.Discrete",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "gymnasium.space... |
16565983104 | import keras
import numpy as np
import matplotlib.pyplot as plt
from keras.models import Sequential
# Dense 全连接层，Activation 激活函数
from keras.layers import Dense, Activation
# 优化器
from keras.optimizers import SGD
def replace_char(string, char, index):
string = list(string)
string[index] = char
return ''.joi... | 1060807523/GitRepositories | code/Mask_RCNN-master/samples/drive/Nonlinear_regression.py | Nonlinear_regression.py | py | 2,013 | python | zh | code | 0 | github-code | 1 | [
{
"api_name": "numpy.linspace",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.random.normal",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "numpy.square",
... |
74095797154 | import sys
import os
import re
import numpy as np
import pandas as pd
from stock.utils.symbol_util import get_stock_symbols, get_archived_trading_dates, exsymbol_to_symbol
from stock.marketdata.storefactory import get_store
from stock.lib.finance import get_lrb_data
from sklearn import linear_model
import matplotlib.py... | shenzhongqiang/cnstock_py | stock/quant/pe.py | pe.py | py | 4,429 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "sklearn.linear_model.LinearRegression",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sklearn.linear_model",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 17,
"usage_type": "call"
},
{
"api_name":... |
21130305160 | from db import DB
from crawl import Crawl
from goods import Goods
from mail import Mail
import time
import sched
class Monitor:
def __init__(self, email='1656704949@qq.com', rate=60, note=60 * 60):
self.scheduler = sched.scheduler(time.time, time.sleep)
self.goods_dict = {}
self.db = DB()
... | zhangbincheng1997/mall-monitor | web/monitor.py | monitor.py | py | 3,752 | python | en | code | 10 | github-code | 1 | [
{
"api_name": "sched.scheduler",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "time.sleep",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "db.DB",
"line_numb... |
5170271632 | from os import name
from django.shortcuts import render
from django.http import HttpResponse
from django.core.files.storage import FileSystemStorage
from subprocess import run, PIPE
import sys ,os
import detect
from webs.controller import count,data_label
from webs.controller import banana_ripe_or_raw,guava_rip... | LoneWolf1999-Th/Fruit_Detect | webs/views.py | views.py | py | 2,801 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.shortcuts.render",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 20,
"usage_type": "call"
},
{
"api_name"... |
290347917 | import requests
import re
import pymysql
from lxml import etree
header = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.103 Safari/537.36"}
reques = requests.get('http://www.open.com.cn/encrollregulation-3333.html', headers=header)
reques.encoding = 'u... | zhouf1234/untitled9pachon | 测试10.py | 测试10.py | py | 2,910 | python | es | code | 1 | github-code | 1 | [
{
"api_name": "requests.get",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "re.S",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "re.findall",
"line_number": 13,
... |
24390060708 | from flask import Flask, make_response
from bson.json_util import dumps
from models import note
import json
import pymongo
import UserDAO
import PlacesDAO
import Place
import WeatherHour
import AlertInfo
import WeatherCamLink
app = Flask(__name__)
app.debug = True
connection_string = "mongodb://localhost"
connection ... | theNerd247/twcHackathon | app.py | app.py | py | 1,188 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "flask.Flask",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pymongo.MongoClient",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "UserDAO.UserDAO",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "PlacesDAO.PlacesDAO",... |
25142521036 | from typing import Any, Dict
import argparse
import torch
import torch.nn as nn
import torch.nn.functional as F
CONV_DIM = 64
FC_DIM = 128
IMAGE_SIZE = 28
class ConvBlock(nn.Module):
"""
Simple 3x3 conv with padding size 1 (to leave the input size unchanged), followed by a ReLU.
"""
def __init__(s... | cluePrints/fsdl-text-recognizer-2021-labs | lab2/text_recognizer/models/cnn.py | cnn.py | py | 4,320 | python | en | code | null | github-code | 1 | [
{
"api_name": "torch.nn.Module",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "torch.nn.Conv2d",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_nu... |
73062309793 | # -*- coding: utf-8 -*-
from mrjob.job import MRJob
from mrjob.protocol import JSONProtocol, RawValueProtocol
from mrjob.step import MRStep
import numpy as np
######################## Helper Methods and Classes ##########################
def cholesky_solution_linear_regression(x_t_x,x_t_y):
'''
Finds par... | AmazaspShumik/MapReduce-Machine-Learning | Linear Regression MapReduce/LinearRegressionTS.py | LinearRegressionTS.py | py | 6,517 | python | en | code | 22 | github-code | 1 | [
{
"api_name": "numpy.linalg.cholesky",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.linalg",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "numpy.linalg.solve",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.lina... |
13271941086 | from __future__ import annotations
import json
from pathlib import Path
from typing import TYPE_CHECKING
import pytest
from pyk.kore.parser import KoreParser
from pyk.kore.syntax import And, App, Kore, Or, Pattern, SortVar, kore_term
if TYPE_CHECKING:
from collections.abc import Mapping
from typing import A... | runtimeverification/pyk | src/tests/unit/kore/test_parser.py | test_parser.py | py | 4,551 | python | en | code | 12 | github-code | 1 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "typing.Final",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "typing.Final",
"li... |
25348338231 | # encoding: utf-8
import sys
import os
import io
from managermentFileForqiniu import managerfile
import logging
import datetime
##log
logging.basicConfig(level=logging.DEBUG,format='%(asctime)s %(filename)s[line:%(lineno)d] %(levelname)s %(message)s',datefmt='%Y %m %d %H:%M:%S',filename='SyncOperation_main.log',file... | weixlkevin/SmartHomekit | SyncOperation.py | SyncOperation.py | py | 1,213 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "logging.basicConfig",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "logging.info",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "datetime.datetime... |
44401912202 | import serial
import numpy as np
import csv
device=serial.Serial("/dev/ttyUSB0",230400)
distance0=1
distance1=7.5
##mm
arange=np.arange(distance0,distance1,0.1)
f= open("data/trail9-5.4mm.csv","w")
writer=csv.writer(f)
for i in arange:
print("Move Slit to: ",str(i))
input("Press enter to continue")
... | cwru-robin/Phys301 | Photon Counting/take_data.py | take_data.py | py | 532 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "serial.Serial",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "csv.writer",
"line_number": 14,
"usage_type": "call"
}
] |
22623785092 | import logging
import time
import socket
import config
import json
import sys
if config.API_ENABLED:
if sys.version_info >= (3, 0):
# If using python 3, use urllib.parse and urllib.request instead of urllib and urllib2
from urllib.parse import urlencode
from urllib.request import Request, u... | ZuopanYao/TravelNetwork | shadowsocks-py-mu/shadowsocks/dbtransfer.py | dbtransfer.py | py | 12,012 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "config.API_ENABLED",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "sys.version_info",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "socket.socket",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "socket.AF_I... |
365934322 | import sys
from hypothesis.version import __version__
message = """
Hypothesis {} requires Python 3.6 or later.
This can only happen if your packaging toolchain is older than python_requires.
See https://packaging.python.org/guides/distributing-packages-using-setuptools/
"""
if sys.version_info[:3] < (3, 6): # pra... | webanck/GigaVoxels | lib/python3.8/site-packages/hypothesis/_error_if_old.py | _error_if_old.py | py | 383 | python | en | code | 23 | github-code | 1 | [
{
"api_name": "sys.version_info",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "hypothesis.version.__version__",
"line_number": 13,
"usage_type": "argument"
}
] |
36189820928 | #!/usr/bin/env python3
import os
from setuptools import setup
def read(fname):
return open(os.path.join(os.path.dirname(__file__), fname)).read()
setup(
name="har2requests",
version="0.2.2",
author="Louis Abraham",
license="MIT",
author_email="louis.abraham@yahoo.fr",
description="Gener... | louisabraham/har2requests | setup.py | setup.py | py | 909 | python | en | code | 93 | github-code | 1 | [
{
"api_name": "os.path.join",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "setuptools.setup",
"line_n... |
36415915522 | import copy
import mmcv
import re
import torch
import torch.nn as nn
import warnings
from mmcv.cnn import (build_conv_layer, build_norm_layer, constant_init,
kaiming_init)
from mmcv.cnn.bricks.registry import NORM_LAYERS
from mmcv.runner import load_checkpoint
from numpy.random import rand
from op... | wyzelabs-inc/AdaptiveDistillation | adaptivedistillation/models/classifiers/kd_image.py | kd_image.py | py | 12,381 | python | en | code | 3 | github-code | 1 | [
{
"api_name": "mmcls.models.classifiers.base.BaseClassifier",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "warnings.warn",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "mmcls.models.builder.build_backbone",
"line_number": 64,
"usage_type": "call"
... |
21640719384 | """
This file
"""
from textblob import TextBlob
import sys
user_input = sys.argv
if len(user_input) != 2:
print("Need a txt file to read")
exit()
with open(user_input[1], 'r') as f:
text = f.read()
blob = TextBlob(text)
sentiment = blob.sentiment.polarity
print(sentiment) | mkPuzon/NLP-Tone-Checker | textAnalysis.py | textAnalysis.py | py | 288 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "sys.argv",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "textblob.TextBlob",
"line_number": 15,
"usage_type": "call"
}
] |
38793762624 | #!/usr/bin/env python
# Create status info of ISC DHCPd leases in JSON format.
#
# Depends on python module netaddr.
# Install with pip install netaddr.
# Depends on iscconf for parsing dhcpd.conf.
# Install with pip install iscconf
# Depends on python 2.7 for argparse.
#
# This was written because dhcpstatus kept... | stemid/devops | tools/dhcpstatus.py | dhcpstatus.py | py | 5,321 | python | en | code | 9 | github-code | 1 | [
{
"api_name": "netaddr.IPNetwork",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 75,
"usage_type": "call"
},
{
"api_name": "argparse.FileType",
"line_number": 93,
"usage_type": "call"
},
{
"api_name": "argparse.... |
41337878373 | import pandas as pd
from sodapy import Socrata
from math import ceil
soil_variables = ['ph_agua_suelo_2_5_1_0', 'potasio_k_intercambiable_cmol_kg', 'f_sforo_p_bray_ii_mg_kg']
def create_client():
client = Socrata("www.datos.gov.co", None)
return client
def get_data(dataset_identifier, **kwargs)... | Juanes7222/Parcial1 | API/api.py | api.py | py | 2,044 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "sodapy.Socrata",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame.from_records",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "mat... |
30647054410 | # -*- coding: utf-8 -*-
"""
Created on Tue Oct 24 09:27:21 2017
@author: Admin
"""
import pandas as pd
### READ IN DATA SOURCE
### READ DIFFRENT SECTIONS FOR TRAIN, TEST, PREDICT
df_train = pd.read_csv('LMPD_STOPS_DATA_CLEAN_V1_HEADERS.csv', nrows=100000, skipinitialspace=True)
# SAve Headers for the next selections... | arkingsolver/SciKit_Learn_LMPD | scikit_linear_citation.py | scikit_linear_citation.py | py | 2,314 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pandas.read_csv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sklearn.linear_model.LinearRegression",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": ... |
74130368032 | import yaml
import os
import random
import numpy as np
import pandas as pd
from tqdm import tqdm
import torch
import torchvision
from torch.utils.tensorboard import SummaryWriter
from utils import get_root
from transforms import Resize, ToTensor, BatchRicianNoise, BatchRandomErasing
from dataset import DenoisingDa... | cviaai/ADAIR | denoising/train_denoising.py | train_denoising.py | py | 9,811 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "torch.set_printoptions",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "random.seed",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.random.seed",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "numpy.random",
... |
72152597793 | from fastapi import APIRouter, Depends, HTTPException, status, Response
from requests import session
from controllers.controllers import ReservationController
from controllers.exceptions import ReservationException
from dependencies import get_token_header
from models import models
from schemas import schemas
from db.d... | Landris18/PamREST | Backend/routers/reservations.py | reservations.py | py | 2,557 | python | en | code | 4 | github-code | 1 | [
{
"api_name": "models.models.Base.metadata.create_all",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "models.models.Base",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "models.models",
"line_number": 12,
"usage_type": "name"
},
{
"api_... |
26198111833 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# PYTHON_ARGCOMPLETE_OK
"""
SVG Templating System (C) Max Gaukler and other members of the FAU FabLab 2013-2022
unlimited usage allowed, see LICENSE file
"""
from lxml import etree
from copy import deepcopy
import inspect
from io import BytesIO
import re
import locale
im... | fau-fablab/etiketten | svgtemplate.py | svgtemplate.py | py | 15,188 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "argcomplete.autocomplete",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "io.BytesIO",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "lxml.etre... |
16168565185 | from datetime import datetime
from json import loads
from random import choice
from shutil import disk_usage
def main():
"""Main function that returns the values to the shell script that runs this."""
time = datetime.now()
time = time.strftime("%m/%d/%Y, %H:%M:%S")
print(f"{check_session()} / {get_dis... | pasenidis/ricing | bar/main.py | main.py | py | 1,569 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "datetime.datetime.now",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "json.loads",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "random.choice",
... |
72212308833 | import numpy as np
import torch
import torch.nn as nn
import torch.optim as optim
from torch.autograd import Variable
from . import MNISTAttack
class MNIST_LBFGS(MNISTAttack):
def __init__(self, model_class, weights_file, regularization="l2"):
super().__init__(model_class, weights_file)
assert reg... | FoConrad/NN-Hashing | attacks/mnist_lbfgs.py | mnist_lbfgs.py | py | 1,664 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "torch.autograd.Variable",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torch.FloatTensor",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torch.autograd.Variable",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "tor... |
16348260053 | import inspect
import traceback
import uuid
import warnings
from dataclasses import dataclass, field
from datetime import datetime
from typing import Any
import pyttman
from pyttman.core.containers import MessageMixin, Reply
from pyttman.core.decorators import LifecycleHookRepository
from pyttman.core.mixins import Pr... | Hashmap-Software-Agency/Pyttman | pyttman/core/internals.py | internals.py | py | 4,999 | python | en | code | 7 | github-code | 1 | [
{
"api_name": "warnings.warn",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "inspect.ismodule",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "inspect.isfunction",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "pyttman.core.contai... |
11548748606 | from flask import Blueprint, views, current_app, session, request, redirect, render_template, jsonify
from Formclasses.admin_classes import DiaryandAdminPost, AinforClass, UserManage, EmployeeinforClass, PostClass
import datetime
from .Manager import toNormal
import re
import random
import os
Adminbp = Blueprint("admi... | spidereyes/Oracle- | Blueprints/Admin.py | Admin.py | py | 28,518 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "flask.Blueprint",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.views.View",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "flask.views",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "flask.current_app.co... |
28558110791 | from django.http import HttpResponse
import json
from .models import MailingList, MailingListGroup
def listinfo(request):
resp = HttpResponse(content_type='application/json')
groupdata = [{
'id': g.id,
'name': g.groupname,
'sort': g.sortkey,
} for g in MailingListGroup.objects.al... | postgres/pgweb | pgweb/lists/views.py | views.py | py | 642 | python | en | code | 66 | github-code | 1 | [
{
"api_name": "django.http.HttpResponse",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "models.MailingListGroup.objects.all",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "models.MailingListGroup.objects",
"line_number": 14,
"usage_type": "attribute... |
22239787685 | import numpy as np
import codecs
import sys
import logging
from nns import RecurrentNN
from utils import Timer
from dataproviders import TwitterApiDataProvider, TwitterTrainingDataProvider, DatasetBuilder
logging.basicConfig(stream=sys.stderr)
logger = logging.getLogger("root")
logger.setLevel(logging.DEBUG)
timer = T... | mishadev/stuff | tensorflow_tests/scripts/main.py | main.py | py | 2,247 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "logging.basicConfig",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.stderr",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
... |
264626137 | from django.urls import path
from . import views
urlpatterns = [
path('school_list/', views.schList, name='schList'), #院校列表展示
path('edit_sch/', views.editSch, name='editSch'), #编辑院校信息
path('update_sch/', views.updateSch, name='updateSch'),
path('detail_sch/', views.detailSch, name='detailSch'),... | zhouf1234/django_obj | school/urls.py | urls.py | py | 2,415 | python | kn | code | 0 | github-code | 1 | [
{
"api_name": "django.urls.path",
"line_number": 5,
"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",
... |
33810970716 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Mar 9 17:19:35 2020
Class Message
- Access to elements of a message dict in ReDial
- Methods:
-
@author: nicholas
"""
import json
from nltk.tokenize import word_tokenize
from nltk.stem.porter import PorterStemmer
imp... | Vachonni/ReDial | Objects/Message.py | Message.py | py | 4,340 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "re.compile",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "nltk.stem.porter.PorterStemmer",
"line_number": 114,
"usage_type": "call"
},
{
"api_name": "Settings.genres"... |
73506504353 | from django.shortcuts import redirect, render
from django.http import HttpResponse
from apps.Habitacion.models import Habitacion
from apps.Habitacion.form import HabitacionForm
# Create your views here.
def home(request):
return render(request, 'base/base.html')
def index(request):
habitacion = Habit... | Daniel-Vega-Rojas/Actividad08_base | apps/Habitacion/views.py | views.py | py | 1,899 | python | es | code | 1 | github-code | 1 | [
{
"api_name": "django.shortcuts.render",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "apps.Habitacion.models.Habitacion.objects.all",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "apps.Habitacion.models.Habitacion.objects",
"line_number": 16,
"usa... |
9670033772 | from ab5 import hgratient
from typing import Optional
import colorama
import sys
from pystyle import Center, Colorate, Colors, Write
import tls_client
import os
def setTitle(title: Optional[any] = None):
os.system("title "+title)
setTitle("BitBoost V2 | Server Booster")
def clear():
if sys.platform in ["linux... | BitStore-dev/BitBoost | BitBoost.py | BitBoost.py | py | 4,595 | python | en | code | 84 | github-code | 1 | [
{
"api_name": "typing.Optional",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "os.system",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sys.platform",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "os.system",
"line_num... |
34660031378 | # -*- coding: utf-8 -*-
import logging
import os
import unittest
from linkml.generators.pythongen import PythonGenerator
from linkml_runtime import SchemaView
from linkml_owl.util.loader_wrapper import load_structured_file
from linkml_owl.dumpers.owl_dumper import OWLDumper
from funowl.converters.functional_converter ... | linkml/linkml-owl | tests/test_examples/test_rpg.py | test_rpg.py | py | 1,849 | python | en | code | 9 | github-code | 1 | [
{
"api_name": "os.path.join",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "tests.INPUT_DIR",
"line_number": 16,
"usage_type": "argument"
},
{
"api_name": "os.path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"lin... |
19209564635 | from tkinter import *
import matplotlib.pyplot as plt
from PIL import ImageFilter,Image
import numpy as np
#import cv2
from IPython import get_ipython
import pyperclip
def input_emnist(st):
#opening the input image to be predicted
im_open = Image.open(st)
im = Image.open(st).convert('LA') #conversi... | sg1498/EMNIST | final_PROJECT_KERAS.py | final_PROJECT_KERAS.py | py | 6,648 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "PIL.Image.open",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "PIL.Image.open",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number"... |
11698126912 | from cgi import test
import torch
import dataset
import model
import numpy as np
import os
import argparse
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
parser = argparse.ArgumentParser()
parser.add_argument("--dataset_name", default='PeMSD8', help='Dataset Name', type=str)
args = parser.pars... | gortwwh/GMTSCLR | pretrain_vae.py | pretrain_vae.py | py | 1,271 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "torch.device",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentPa... |
16555099455 | from copy import deepcopy
from functools import reduce
import numpy as np
class Chromosome:
def crossover(self, other):
pass
def mutate(self, step=None):
pass
def evaluate(self):
pass
class FloatChromosome(Chromosome):
def __init__(self, ll, ul, degree, pm, b, crossover_fu... | hrkec/APR | Lab4/chromosome.py | chromosome.py | py | 2,957 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "numpy.random.uniform",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "copy.deepcopy",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "numpy.random.uni... |
18084590411 | import datetime,requests
import pickle
from pathlib import Path
import requests
import streamlit as st
from streamlit_lottie import st_lottie
import json
import ssl,os,urllib
import altair as alt
import pandas as pd
import numpy as np
from matplotlib import pyplot as plt
from PIL import Image
from io import BytesIO
# ... | williamc1998/ml-test | azuredash.py | azuredash.py | py | 4,844 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "streamlit.set_page_config",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "streamlit.container",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "streamlit.... |
40316461163 | from tkinter import *
import tkinter as tk
from tkinter import ttk
from tkinter import filedialog
from tkinter import scrolledtext
import time, datetime
import threading
import logging
import soundfile as sf
import numpy as np
import os
window = Tk()
window.geometry('450x520')
window.title('INotepad.cloud - Phần mềm ... | truyentdm/Apps | MergeAudio/MergeAudio.py | MergeAudio.py | py | 4,725 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "logging.basicConfig",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "tkinter.filedialog.askdirectory",
"line_number": 43,
"usage_type": "call"
},
{
"api_name":... |
9122061868 | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import time
import argparse
import os
import datetime
from algorithms.kmeans import KMeans
from algorithms.kmeanspp import KPlusPlus
from algorithms.kmeansgraph import KMeansGraph
from algorithms.kmeans_sa import KMeans_SA
if __name__ == '__main__... | alepmaros/k-means | main.py | main.py | py | 6,439 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "os.path.split",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "os.path",
"... |
15866997363 | import base64
import os
import json
def encode64_file(file_path):
with open(file_path, "rb") as content_file:
content = content_file.read()
# print(content)
encoded = base64.b64encode(content)
return encoded.decode()
def read_allfile(file_path):
with open(file_path, "r") as c... | quydx/acme-client-restapi | apiserver/djangorest/rest/filelib.py | filelib.py | py | 645 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "base64.b64encode",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 24,
"usage_type": "call"
}
] |
42865082927 | from flask import Flask, request, render_template
import numpy as np
import pandas as pd
#import xgboost as xgb
import joblib
model = joblib.load('xgb_model.sav')
app = Flask(__name__)
@app.route('/')
def home():
return render_template('home.html')
@app.route('/prediction', methods=[ 'POST'])
def prediction():
... | riyag25/Customer-Churn-Prediction | app.py | app.py | py | 2,912 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "joblib.load",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask.request.values",
... |
7518399441 | import sys
from collections import namedtuple, OrderedDict
import atexit
import logging
from absl import flags
import gin
import numpy as np
from pysc2.lib.features import parse_agent_interface_format, SCREEN_FEATURES, MINIMAP_FEATURES, Features, FeatureType
from pysc2.env.environment import StepType
from pysc2.lib.act... | sati290/sc2ai | sc2ai/environments/sc2env.py | sc2env.py | py | 6,301 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "collections.namedtuple",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "... |
71217212195 | import keyboard
import time
each_line = input("What to spam")
amount = int(input("How many times"))
print("you have 5 seconds to open whatever you want to spam")
time.sleep(5)
for i in range (1, amount):
keyboard.write(each_line)
keyboard.press('enter')
print("Done")
| GnomeyDev/PythonScripts | UniSpammer1.py | UniSpammer1.py | py | 296 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "time.sleep",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "keyboard.write",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "keyboard.press",
"line_number": 12,
"usage_type": "call"
}
] |
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