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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
7784070706 | """MYAPP Core application logic."""
from json import (
JSONDecoder,
JSONEncoder,
loads as _json_loads,
)
from logging import getLogger
from pathlib import PosixPath
from http import HTTPStatus
from flask import Blueprint, current_app, request, Response
from flask.views import MethodView
from webargs.flaskp... | jjj4x/flask_api_example | src/myapp/core.py | core.py | py | 7,547 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "pathlib.PosixPath",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "webargs.flaskparser.FlaskParser",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "h... |
277770918 | import os, sys
import subprocess
# os.environ['DISPLAY'] = ':99.0'
# os.environ['PYVISTA_OFF_SCREEN'] = 'true'
# os.environ['PYVISTA_USE_IPYVTK'] = 'true'
# bashCommand ="Xvfb :99 -screen 0 1024x768x24 > /dev/null 2>&1 & sleep 3"
# process = subprocess.Popen(bashCommand, stdout=subprocess.PIPE, shell=True)
# process.w... | uncbiag/shapmagn | shapmagn/experiments/datasets/lung/lung_data_analysis.py | lung_data_analysis.py | py | 28,299 | python | en | code | 94 | github-code | 6 | [
{
"api_name": "sys.path.insert",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_num... |
39635306222 | from datetime import datetime
from django.http import Http404, HttpResponse, HttpResponseRedirect
from django.shortcuts import render
from django.template import loader
from django.urls import reverse
from .models import BusinessIdea
# Create your views here.
def list(request):
ideas_list = BusinessIdea.objects.... | Gael-Bernard/business_ideas_upm | business_ideas_upm/ideas/views.py | views.py | py | 1,571 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "models.BusinessIdea.objects.order_by",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "models.BusinessIdea.objects",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "models.BusinessIdea",
"line_number": 12,
"usage_type": "name"
},
... |
11403898752 | from torch.utils.data import Dataset
from transformers import Trainer
from transformers import TrainingArguments
from trainer.callbacks.printer import PrinterCallback
from data_manager.batch_sampler import Batch_Sampler
from model.model_parameters import Model_Parameters
from trainer.tne_config import TNE_Config
import... | ranraboh/TNE_TASK | trainer/tne_trainer.py | tne_trainer.py | py | 4,430 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.environ",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "torch.utils.data.Dataset",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "trainer.tne_co... |
16838024238 | from typing import List
from csvcubed.models.cube import (
Cube,
QbDimension,
ExistingQbDimension,
QbColumn,
CsvColumnUriTemplateMissingError,
QbAttributeLiteral,
CsvColumnLiteralWithUriTemplate,
QbAttribute,
NoDimensionsDefinedError,
)
from csvcubed.models.validationerror import Va... | GDonRanasinghe/csvcubed-models-test-5 | csvcubed/csvcubed/utils/qb/validation/cube.py | cube.py | py | 2,817 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "csvcubed.models.cube.Cube",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "csvcubed.utils.qb.validation.observations.validate_observations",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 21,
"usage_type": ... |
25147617203 | import errno
import logging as _logging
import socket
import socketserver
import threading
import time
from napalm import utils
# Log
logging = _logging.getLogger("SERVER")
# Temp
# utils.default_logging_setup()
try:
from twisted.internet import reactor
from twisted.internet.protocol import connectionDone, P... | markelov-alex/py-sockets | napalm/socket/server.py | server.py | py | 18,945 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "logging.warning",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "logging.debug",
... |
71087029308 | """Simple wrapper for app"""
import json
from rich.console import Console
from typing import List
import requests
from src.utils import Oracles
class FlaskAppClient:
ERROR_KEY = "error"
TRACEBACK_KEY = "traceback"
def __init__(self, base_url="http://127.0.0.1:5000"):
self.base_url = base_url
... | molecule-one/mlinpl-23-workshops | src/server_wrapper.py | server_wrapper.py | py | 2,462 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "rich.console.Console",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "json.JSONDecodeError",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "requests.post",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "requests... |
43431205524 | import datetime
import uuid
import logging
from concurrent.futures import ThreadPoolExecutor
from functools import partial
import pandas as pd
import sys
import pprint
import traceback
from core.scraper.scraper import Scraper
from core.db.db_helper import DbHelper
from common.constants import THREAD_NO, LARGE_CHUNK, B... | CMUChimpsLab/playstore-scraper | core/scraper/updater.py | updater.py | py | 5,745 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "pprint.Pretty... |
10906525746 | import argparse
import time
import pika
from pika.exceptions import (
ChannelClosed,
ConnectionClosed,
AMQPConnectionError,
AMQPHeartbeatTimeout,
)
class Logger:
LOG_EXCHANGE = "logs"
LOG_EXCHANGE_TYPE = "topic"
def __init__(self, url, routing_keys):
connection = pika.BlockingCo... | allo-media/eventail | scripts/logger.py | logger.py | py | 2,599 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "pika.BlockingConnection",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pika.URLParameters",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pika.exceptions.ChannelClosed",
"line_number": 52,
"usage_type": "name"
},
{
"api_name... |
29209651660 | import os
from pathlib import Path
def correct_content(req):
with open(req, "rb") as fp:
content = fp.read()
try:
if b"\x00" in content:
raise ValueError()
content = content.decode("utf-8")
except (UnicodeDecodeError, ValueError):
content = (
content... | smythi93/Tests4Py | requirements.py | requirements.py | py | 2,015 | python | en | code | 8 | github-code | 6 | [
{
"api_name": "pathlib.Path",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pathlib.Path.cwd",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "os.listdir",
"line_num... |
21247797774 | import os
import pandas as pd
from sklearn.model_selection import train_test_split
import click
FILENAME_DATA = "data.csv"
FILENAME_TARGET = "target.csv"
FILENAME_TRAIN_X = "X_train.csv"
FILENAME_TRAIN_Y = "y_train.csv"
FILENAME_TEST_X = "X_test.csv"
FILENAME_TEST_Y = "y_test.csv"
@click.command("split_data")
@cli... | made-mlops-2022/alexey_sklyannyy | airflow_ml_dags/images/airflow-split/split_data.py | split_data.py | py | 1,308 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.join",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_csv",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.tra... |
23800674981 |
from pynput.keyboard import Key,Listener
keys=[]
def on_press(key):
try:
key=str(key)
if(key=='Key.enter'):
key='\n'
elif(key=='Key.space'):
key=' '
elif(key=='Key.alt'):
key=' alt '
elif(key=='Key.ctrl'):
key=' ctrl '
... | prajwalcbk/tools | keylogger/3.py | 3.py | py | 791 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pynput.keyboard.Key",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "pynput.keyboard.Listener",
"line_number": 34,
"usage_type": "call"
}
] |
36396554295 | """
Compare catalogs of candidates and benchmarks.
"""
from __future__ import annotations
# __all__ = ['*']
__author__ = "Fernando Aristizabal"
from typing import Iterable, Optional, Callable, Tuple
import os
import pandas as pd
from rioxarray import open_rasterio as rxr_or
import xarray as xr
import dask.dataframe ... | NOAA-OWP/gval | src/gval/catalogs/catalogs.py | catalogs.py | py | 9,027 | python | en | code | 14 | github-code | 6 | [
{
"api_name": "pandas.DataFrame",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "dask.dataframe.DataFrame",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "dask.dataframe",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "pa... |
30138290765 | # !/usr/local/python/bin/python
# -*- coding: utf-8 -*-
# (C) Wu Dong, 2020
# All rights reserved
# @Author: 'Wu Dong <wudong@eastwu.cn>'
# @Time: '2020-04-09 14:39'
""" ๆผ็คบ่ชๅฎไนๅๅบ็ฑป
"""
# sys
import json
# 3p
from flask import Flask
from pre_request import BaseResponse
from pre_request import pre, Rule
class CustomRespo... | Eastwu5788/pre-request | examples/example_flask/example_response.py | example_response.py | py | 1,281 | python | en | code | 55 | github-code | 6 | [
{
"api_name": "pre_request.BaseResponse",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "flask.make_response",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "flask.Flask",... |
14594653005 | import tensorflow as tf
import pathlib
import os
import cv2
import numpy as np
import tqdm
import argparse
class TFRecordsSeg:
def __init__(self,
image_dir="/datasets/custom/cityscapes",
label_dir="/datasets/custom/cityscapes",
tfrecord_path="data.tfrecords",
... | AhmedBadar512/Badr_AI_Repo | utils/create_seg_tfrecords.py | create_seg_tfrecords.py | py | 6,714 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "tensorflow.io.FixedLenFeature",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "tensorflow.io",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.string",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name"... |
30353219011 | from os.path import abspath
from io import BytesIO
import copy
# Local imports.
from common import TestCase, get_example_data
class TestOptionalCollection(TestCase):
def test(self):
self.main()
def do(self):
############################################################
# Imports.
... | enthought/mayavi | integrationtests/mayavi/test_optional_collection.py | test_optional_collection.py | py | 4,072 | python | en | code | 1,177 | github-code | 6 | [
{
"api_name": "common.TestCase",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "mayavi.sources.vtk_file_reader.VTKFileReader",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "common.get_example_data",
"line_number": 31,
"usage_type": "call"
},
{
... |
32161722151 | import sys
from pathlib import Path
from colorama import Fore
sys.path.append(str(Path(__file__).parent.parent))
from g4f import BaseProvider, models, Provider
logging = False
class Styles:
ENDC = "\033[0m"
BOLD = "\033[1m"
UNDERLINE = "\033[4m"
def main():
providers = get_providers()
failed_pr... | dovgan-developer/discord-bot-g4f | testing/test_providers.py | test_providers.py | py | 2,239 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "colorama.Fore.RED",
"line... |
26304099314 | from django.conf import settings
from django.contrib import messages
from django.contrib.auth.mixins import LoginRequiredMixin
from django.core.exceptions import ObjectDoesNotExist
from django.shortcuts import get_object_or_404, redirect, render, reverse
from django.utils import timezone
from django.views import generi... | ifty123/ecomm_fix | ecomm/toko/views.py | views.py | py | 14,172 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.views.generic.ListView",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "django.views.generic",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "models.ProdukItem.objects.all",
"line_number": 18,
"usage_type": "call"
},
{
... |
24742947009 | from asyncirc import irc
import asyncirc.plugins.sasl
import asyncio, configparser, time, sys
config = configparser.ConfigParser(interpolation=None)
config.read('config.ini')
network = config["DEFAULT"]["network"]
server = config[network]["server"]
port = config[network]["port"]
nick = config[network]['nick']
passwor... | kyrias/reclaimer | reclaimer.py | reclaimer.py | py | 2,611 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "asyncirc.irc.connect",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "asyncirc.irc",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "asyncirc.p... |
11301162272 | from rest_framework.response import Response
from rest_framework.decorators import api_view
from datetime import datetime
from coupon.models import Coupon
from coupon.serializers import CouponSerializer
@api_view(['GET'])
def get_coupons(request):
user_id = request.GET.get('user_id')
expired = request.GET.get... | jpswing/assmovie | coupon/views.py | views.py | py | 1,042 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "rest_framework.response.Response",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "coupon.models.Coupon.objects.filter",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "coupon.models.Coupon.objects",
"line_number": 25,
"usage_type": "att... |
14069562246 | ''''
Microbial growth model for A. Niger
including inhibition dynamics based on Haldane's equation
'''
##############################################################################
mic_name = 'A. niger'
print( '\n'*2, 'Summary of params used for species ', mic_name)
# Imports
from inhibition import lo... | TheoBatik/microbial_models | 5b_A_niger.py | 5b_A_niger.py | py | 9,887 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "inhibition.load_csv",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 95,
"usage_type": "call"
},
{
"api_name": "lmfit.Parameters",
"line_number": 121,
"usage_type": "call"
},
{
"api_name": "scipy.integrate.ode... |
72033875709 | import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
dataset = pd.read_csv('forestfires.csv')
pd.plotting.scatter_matrix(dataset)
X = dataset.iloc[:,0:12].values
y = dataset.iloc[:,-1].values
dataset.isnull().sum()
dataset.info()
temp = pd.DataFrame(X[:,[2,3]])
temp_month = pd.get_du... | Manavendrasingh/ML-code | forestfire.py | forestfire.py | py | 1,103 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pandas.plotting.scatter_matrix",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pandas.plotting",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "pand... |
7160469481 | import skfuzzy as fuzz
from skfuzzy import control as ctrl
import numpy as np
import matplotlib.pyplot as plt
def v(d, a):
return np.sqrt((d * 9.81) / np.sin(2 * np.radians(a)))
def main():
x_distance = np.arange(1, 100, 5)
x_angle = np.arange(1, 90, 1)
distance = ctrl.Antecedent(x_distance, 'dista... | DonChaka/PSI | Fuzzy/fuzzy_easy.py | fuzzy_easy.py | py | 2,354 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.sqrt",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.sin",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.radians",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 12,... |
26042467106 | from __future__ import annotations
import logging
from abc import ABCMeta
from dataclasses import dataclass
from pants.core.util_rules.environments import EnvironmentNameRequest
from pants.engine.environment import EnvironmentName
from pants.engine.fs import MergeDigests, Snapshot, Workspace
from pants.engine.goal im... | pantsbuild/pants | src/python/pants/core/goals/generate_snapshots.py | generate_snapshots.py | py | 3,031 | python | en | code | 2,896 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pants.engine.target.FieldSet",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "abc.ABCMeta",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "pants.engi... |
8963786234 | #!/usr/bin/env python3
import multiprocessing
from queue import Empty
import subprocess
import Robocode
import os, os.path
from datetime import datetime
import sys
import time
# This class knows about Robocode and the Database.
def recommendedWorkers():
cpus = multiprocessing.cpu_count()
if cp... | mojomojomojo/di-arena | lib/BattleRunner.py | BattleRunner.py | py | 4,617 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "multiprocessing.cpu_count",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "multiprocessing.current_process",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "sys.stderr",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_nam... |
29852066628 | __author__ = "Rohit N Dubey"
from django.conf.urls import patterns, include, url
from django.contrib import admin
from views import Ignite
from . import prod
urlpatterns = patterns('',
url(r'^ui/(?P<path>.*)$', 'django.views.static.serve', { 'document_root': prod.UI_ROOT, }),
url(r'^api/pool... | salran40/POAP | ignite/urls.py | urls.py | py | 805 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.conf.urls.patterns",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "d... |
11499299532 | import requests,json
def ranking(duration="daily",ranking_type="break",offset=0,lim=20,unit=False):
try:
resp = requests.get(f'https://w4.minecraftserver.jp/api/ranking?type={ranking_type}k&offset={offset}&lim={lim}&duration={duration}')
data_json = json.loads(resp.text)
rank_list = list(dat... | nekorobi-0/seichi_ranking | seichi_ranking.py | seichi_ranking.py | py | 3,146 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 33... |
73100458107 | # Network Traffic Analyzer:
# Analyze network packet captures for anomalies and threats.
# pip install pyshark
'''
Python script that reads a Wireshark PCAP file and performs basic security analysis,
such as identifying suspicious traffic, detecting port scans, and checking for potential security threats.
The scrip... | Cnawel/greyhat-python | wireshark/traffice_analyzer.py | traffice_analyzer.py | py | 1,415 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pyshark.FileCapture",
"line_number": 16,
"usage_type": "call"
}
] |
655282827 | import argparse
import os
import torch
import torch_em
from torch_em.model import AnisotropicUNet
ROOT = '/scratch/pape/mito_em/data'
def get_loader(datasets, patch_shape,
batch_size=1, n_samples=None,
roi=None):
paths = [
os.path.join(ROOT, f'{ds}.n5') for ds in datasets
... | constantinpape/torch-em | experiments/unet-segmentation/mitochondria-segmentation/mito-em/challenge/embeddings/train_embeddings.py | train_embeddings.py | py | 4,556 | python | en | code | 42 | github-code | 6 | [
{
"api_name": "os.path.join",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "torch_em.data.MinForegroundSampler",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "torch_em... |
41858795618 | #############################################################################################
# Foi feita uma estatรญstica em cinco cidades brasileiras para coletar dados sobre acidentes #
# de trรขnsito. Foram obtidos os seguintes dados: #
# a) Cรณdigo da cidade; ... | nralex/Python | 3-EstruturaDeRepeticao/exercรญcio40.py | exercรญcio40.py | py | 2,234 | python | pt | code | 0 | github-code | 6 | [
{
"api_name": "datetime.date.today",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "datetime.date.today",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "datetime.date",... |
1633248512 | from builtins import next
from builtins import range
import os
import datetime
from xml.sax.saxutils import quoteattr
import sys
import logging
import random
import glob
from itertools import cycle
from flask import Blueprint, url_for, Response, stream_with_context, send_file, \
jsonify
from werkzeug.datastructure... | cmusatyalab/opendiamond | opendiamond/dataretriever/augment_store.py | augment_store.py | py | 6,831 | python | en | code | 19 | github-code | 6 | [
{
"api_name": "flask.Blueprint",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "sys.maxsize",
"line_number": 52,
"usage_type": "attribute"
},
{
"api_name": "werkzeug.datastruc... |
5345020806 | import email.utils
import json
import os
import smtplib
import ssl
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
from pathlib import Path
import jinja2
from dotenv import load_dotenv
send_user = ""
load_dotenv()
class SendEmailController:
def __init__(self):
pass
... | nguyendoantung/e-maintenance-system | back-end/service/utils/email/EmailController.py | EmailController.py | py | 3,978 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "jinja2.FileSystemLoader",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "jinja2.Enviro... |
9777903968 | import math
from django.db import models
from django.db.models.signals import pre_save, post_save
from apps.addresses.models import Address
from apps.carts.models import Cart
from apps.billing.models import BillingProfile
from main.utils import unique_order_id_generator
# ORDER STATUS OPTIONS
ORDER_STATUS_CHOICES = (... | ehoversten/Ecommerce_Django | main/apps/orders/models.py | models.py | py | 4,469 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "django.db.models.Manager",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "django.db.models.Model",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_na... |
41409285856 | import json
estudantes = []
professores = []
disciplinas = []
turmas = []
matriculas = []
def main():
while True:
print("Menu Principal")
print("1. Estudantes")
print("2. Disciplinas")
print("3. Professores")
print("4. Turmas")
print("5. Matrรญculas")
... | enzupain/Python-Projetos | sistema gerenciamento academico.py | sistema gerenciamento academico.py | py | 18,786 | python | pt | code | 0 | github-code | 6 | [
{
"api_name": "json.dump",
"line_number": 120,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 126,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 207,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 213,
... |
60822349 | """
scrapy1.5้ๅถrequest.callback and request.errbackไธ่ฝไธบ้Noneไปฅๅค็ไปปไฝ้ๅฏ่ฐ็จๅฏน่ฑก๏ผๅฏผ่ดไธไบๅ่ฝๆ ๆณๅฎ็ฐใ่ฟ้่งฃ้ค่ฏฅ้ๅถ
"""
from scrapy import Request as _Request
from scrapy.http.headers import Headers
class Request(_Request):
def __init__(self, url, callback=None, method='GET', headers=None, body=None,
cookies=None, meta=No... | ShichaoMa/structure_spider | structor/custom_request.py | custom_request.py | py | 1,255 | python | en | code | 29 | github-code | 6 | [
{
"api_name": "scrapy.Request",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "scrapy.http.headers.Headers",
"line_number": 25,
"usage_type": "call"
}
] |
37559653754 |
from selenium import webdriver
import time
# Have to change the path according to where your chromedriver locate
PATH = "C:\Program Files (x86)\chromedriver.exe"
driver = webdriver.Chrome(PATH)
driver.get("http://ec2-54-208-152-154.compute-1.amazonaws.com/")
arrayOfBar = []
arrayLeftBowl = []
arrayRight... | LiyaNorng/Fetch-Rewards-Coding-Exercise | FakeGold.py | FakeGold.py | py | 2,344 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "time.sleep",
... |
32509281023 | import torch
import torch.nn as nn # nn.linear ๋ผ์ด๋ธ๋ฌ๋ฆฌ๋ฅผ ์ฌ์ฉํ๊ธฐ ์ํด import
# F.mse(mean squared error) <- linear regression, LOSS Function ์กด์ฌ
# Classification problem์์ ์ฌ์ฉํ๋ loss function : Cross-Entropy
import torch.nn.functional as F
import torch.optim as optim # SGD, Adam, etc.์ต์ ํ ๋ผ์ด๋ธ๋ฌ๋ฆฌ
# ์์ ๋ฐ์ดํฐ ์์ฑ
# ์
๋ ฅ์ด 1, ์ถ๋ ฅ์ด 1... | JEONJinah/Shin | multi_varialbe_LR.py | multi_varialbe_LR.py | py | 2,761 | python | ko | code | 0 | github-code | 6 | [
{
"api_name": "torch.FloatTensor",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.FloatTensor",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.nn.Linear",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"l... |
24452709455 | import json
import os
import random
from nonebot import on_keyword, logger
from nonebot.adapters.mirai2 import MessageSegment, Bot, Event
tarot = on_keyword({"ๅก็ฝ็"}, priority=5)
@tarot.handle()
async def send_tarot(bot: Bot, event: Event):
"""ๅก็ฝ็"""
card, filename = await get_random_tarot()
image_dir = ... | mzttsaintly/Warfarin-bot | warfarin/plugins/Tarot/__init__.py | __init__.py | py | 1,590 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "nonebot.on_keyword",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "nonebot.adapters.mirai2.Bot",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "nonebot.adapters.mirai2.Event",
"line_number": 12,
"usage_type": "name"
},
{
"api_n... |
12959904969 | from .declarative import (
declarative,
get_declared,
get_members,
)
from .dispatch import dispatch
from .evaluate import (
evaluate,
evaluate_recursive,
evaluate_recursive_strict,
evaluate_strict,
get_callable_description,
matches,
)
from .namespace import (
EMPTY,
flatten,
... | jlubcke/tri.declarative | lib/tri_declarative/__init__.py | __init__.py | py | 6,981 | python | en | code | 17 | github-code | 6 | [
{
"api_name": "evaluate.get_callable_description",
"line_number": 89,
"usage_type": "call"
},
{
"api_name": "traceback.extract_stack",
"line_number": 128,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 165,
"usage_type": "call"
},
{
"api_name":... |
17940292131 | from sklearn.metrics import confusion_matrix, roc_auc_score
import json
import numpy as np
def general_result(y_true, y_score, threshold=0.6):
def pred(score, best_thresh):
label = 0
if score > best_thresh:
label = 1
return label
y_score = np.array(y_score)
if len(y_scor... | jingmouren/antifraud | antifraud/metrics/normal_function.py | normal_function.py | py | 2,233 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.array",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.confusion_matrix",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.roc_auc_score",
"line_number": 28,
"usage_type": "call"
},
{
"api_na... |
32483785153 |
import random
from collections import Counter
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import ConvModule, Scale, bias_init_with_prob, normal_init
from mmcv.runner import force_fp32
import nltk
from nltk.cluster.kmeans import KMeansClusterer
from mmdet.core import (anchor_ins... | johnran103/mmdet | test_dy_conv.py | test_dy_conv.py | py | 5,635 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "torch.nn.Conv2d",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_nu... |
18307407152 | import importlib.util as iutil
import os
from datetime import datetime
from time import perf_counter
from uuid import uuid4
import numpy as np
import yaml
from aequilibrae.distribution.ipf_core import ipf_core
from aequilibrae.context import get_active_project
from aequilibrae.matrix import AequilibraeMatrix, Aequili... | AequilibraE/aequilibrae | aequilibrae/distribution/ipf.py | ipf.py | py | 10,544 | python | en | code | 140 | github-code | 6 | [
{
"api_name": "importlib.util.find_spec",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "importlib.util",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "aequilibrae.matrix.AequilibraeMatrix",
"line_number": 99,
"usage_type": "call"
},
{
"api_... |
29007933984 | # Databricks notebook source
from pyspark.sql.functions import expr, col
import pyspark.sql.functions as fn
sampleEmployee = spark.read.format("csv").option("header","true").load("dbfs:/FileStore/shared_uploads/bhaskar.dakoori072@gmail.com/us_500.csv")
# COMMAND ----------
employeeDF = sampleEmployee.withColumn('web'... | bhaskar553/DatabricksAssignment | Vaccine Drive Assignment.py | Vaccine Drive Assignment.py | py | 2,302 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pyspark.sql.functions.expr",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.functions.count",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.functions",
"line_number": 13,
"usage_type": "name"
},
{
"api_n... |
43734225885 | # -*- coding: utf-8 -*-
"""
Created on Mon May 10 19:03:44 2021
@author: Samael Olascoaga
@email: olaskuaga@gmail.com
"""
import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
df = pd.read_csv('drugbank.csv')
overlap = []
for i in range(0, 1000000):
set1 = s... | Olascoaga/Senotherapy | bootstrapping_targets.py | bootstrapping_targets.py | py | 938 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.asarray",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "seaborn.set_style",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "seaborn.despine",
... |
29643271631 | # -*- coding: utf-8 -*-
# (c) 2015 Alfredo de la Fuente - AvanzOSC
# License AGPL-3 - See http://www.gnu.org/licenses/agpl-3.0.html
from openerp import models, fields, api
from dateutil.relativedelta import relativedelta
class ProcurementOrder(models.Model):
_inherit = 'procurement.order'
@api.multi
def ... | odoomrp/odoomrp-wip | procurement_plan/models/procurement.py | procurement.py | py | 5,931 | python | en | code | 119 | github-code | 6 | [
{
"api_name": "openerp.models.Model",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "openerp.models",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "openerp.api.multi",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "openerp... |
29446328549 | # -*- coding: utf-8 -*-
import sys
import cv2
import mediapipe as mp
import re
import time
import threading
from PySide2 import QtCore, QtGui, QtWidgets
from PySide2.QtCore import *
from PySide2.QtGui import *
from PySide2.QtWidgets import *
from selenium import webdriver
from lib.handsign.gesture import define_gest... | cheeseBG/EmergencyResponseSystem | main.py | main.py | py | 17,061 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "mediapipe.solutions",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "mediapipe.solutions",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "lib.ui.ui_main.Ui_MainWindow",
"line_number": 52,
"usage_type": "call"
},
{
"ap... |
33869960923 | import fasttext
import pickle
model = fasttext.load_model('/data/disk1/private/yx/model200v2_8.bin', encoding='utf-8')
(wordnum,vec_size) = (len(model.words),model.dim)
word2id = {}
vecList = []
for idx,word in enumerate(model.words):
word2id[word] = idx
vecList.append(model[word])
with open("/data/disk1/privat... | xcjthu/TopTextClassification | utils/powerlawtools/fastmodeltrans.py | fastmodeltrans.py | py | 533 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "fasttext.load_model",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "pickle.dump",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pickle.dump",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.asarray",
"line_... |
23213929420 |
"""
IMU 6-DOF
Acceleration
- imu_accel_x
- imu_accel_y
- imu_accel_z
Angular speed
- imu_gyro_x
- imu_gyro_y
- imu_gyro_z
"""
import numpy as np
from numpy.linalg import inv
from scipy.spatial.transform import Rotation as rot
"""
X: states:
- pitch
- roll
- yaw (not used)
- bias angul... | toshiharutf/Kalman_Filter_GNS_INS | ins_filter_full_state_demo.py | ins_filter_full_state_demo.py | py | 5,133 | python | en | code | 6 | github-code | 6 | [
{
"api_name": "numpy.zeros",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "numpy.arctan2",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "numpy.arctan2",
"line_number... |
10211319525 | # -*- coding: utf8 -*-
from django.test import TestCase
from django.apps import apps
from blog.models import ExecuteStatus, Tag
from blog.models import TestCase as TC
from django.contrib.auth.models import User
import datetime
import os
class TestCaseModelTestCase(TestCase):
def setUp(self):
#apps.get_app... | charleszh/rf-web | DjangoDemo/blog/tests/test_models.py | test_models.py | py | 1,209 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.test.TestCase",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "django.utils.timezone.now",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "django.utils.timezone",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "... |
27646567910 | import http.server
from colorama import Fore, Style
import os
import cgi
HOST_NAME = '127.0.0.1' # Kali IP address
PORT_NUMBER = 80 # Listening port number
class MyHandler(http.server.BaseHTTPRequestHandler): # MyHandler defines what we should do from the client / target
def do_GET(s):
# If we got a G... | zAbuQasem/Misc | http reverse shell/Server.py | Server.py | py | 2,367 | python | en | code | 6 | github-code | 6 | [
{
"api_name": "http.server.server",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "http.server",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "colorama.Fore.LIGHTCYAN_EX",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "c... |
13767499463 | import os
import pytest
from stips import stips_data_base
# from stips.utilities import SelectParameter
# from stips.utilities.utilities import GetParameter
@pytest.fixture(autouse=True)
def pre_post_test():
# Setup config file environment variable
config_param = None
if "stips_config" in os.environ:
... | spacetelescope/STScI-STIPS | stips/utilities/tests/test_config.py | test_config.py | py | 2,091 | python | en | code | 12 | github-code | 6 | [
{
"api_name": "os.environ",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
... |
28300388553 | import pandas as pd
from sklearn.ensemble import GradientBoostingClassifier
from sklearn.model_selection import train_test_split
from sklearn.metrics import accuracy_score
# Load the datasets
regular_season_results = pd.read_csv('MRegularSeasonDetailedResults.csv')
tournament_results = pd.read_csv('MNCAATourneyDetaile... | lakshayMahajan/March-Madness-ML | madness.py | madness.py | py | 4,404 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pandas.concat",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.t... |
32312362218 | from osgeo import gdal
import numpy as np
# calculating SAVI and NDVI
noDataVal = -28672
def calculate_ndvi(nir, red):
valid_mask = (nir != noDataVal) & (red != noDataVal)
ndvi_band = np.where(valid_mask, (nir - red) / (nir + red), np.nan)
return ndvi_band
# Function to calculate SAVI
def calculate_savi(n... | dustnvan/ET_goes16 | goes_export_geotiff/export_savi_ndvi.py | export_savi_ndvi.py | py | 2,866 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.where",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.nan",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "numpy.where",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.nan",
"line_number": 1... |
648697707 | import numbers
import time
from itertools import product
import numpy as np
import torch
try:
from tqdm import tqdm
except ImportError:
def tqdm(x):
return x
def product1d(inrange):
for ii in inrange:
yield ii
def slice_to_start_stop(s, size):
"""For a single dimension with a give... | constantinpape/3d-unet-benchmarks | bench_util/inference.py | inference.py | py | 7,760 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "numbers.Number",
"line_number": 79,
"usage_type": "attribute"
},
{
"api_name": "numbers.Number",
"line_number": 97,
"usage_type": "attribute"
},
{
"api_name": "itertools.product",
"line_number": 152,
"usage_type": "call"
},
{
"api_name": "torch.floa... |
35093472448 | import pygame, sys, operator, random, time
from pygame.locals import *
# Global variables
WIDTH = 800
HEIGHT = 500
SUB_SPEED = 3
BUBBLE_MAX_SPEED = 1
TIME_LIMIT = 30
BONUS_SCORE = 1500
BLACK = (0, 0, 0)
BLUE = (12,34,56)
RED = (255,0,0)
WHITE = (255,255,255)
x_sub = 40
y_sub = 250
score = 0
game_end = time.time() + ... | nicoseng/bubble_blaster | test.py | test.py | py | 7,112 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "time.time",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pygame.display.quit",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "pygame.quit",
"... |
22461213731 | import xarray as xr
import numpy as np
#Este script baixa os dados do hycom para os perรญodos selecionados para o experimento GLBv0.08/expt_53.X
#Importante: Por conta da estruturas dos servidores OpenDAP, e preciso baixar o dado por cada passo de tempo para postriormente concaternar
#Para concatenar, selecionar os ar... | Igoratake/Hycom_Opendap | baixa_hycom_2014_frente_Pontual.py | baixa_hycom_2014_frente_Pontual.py | py | 2,248 | python | pt | code | 0 | github-code | 6 | [
{
"api_name": "xarray.open_dataset",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.unravel_index",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "numpy.argmin",
"line_number": 46,
"usage_type": "call"
}
] |
30886261452 | ######### import statements for sample_models.py ###########
from keras import backend as K
from keras.models import Model
from keras.layers import (BatchNormalization, Conv1D, Dense, Input,
TimeDistributed, Activation, Bidirectional, SimpleRNN, GRU, LSTM)
################################
########### import... | MdAbuNafeeIbnaZahid/English-Speech-to-Text-Using-Keras | speech-recognition-neural-network/train.py | train.py | py | 31,706 | python | en | code | 6 | github-code | 6 | [
{
"api_name": "utils.calc_feat_dim",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "random.Random",
"line_... |
71971288509 | from kubeflow.fairing.cloud.docker import get_docker_secret
from kubeflow.fairing.constants import constants
import json
import os
def test_docker_secret_spec():
os.environ["DOCKER_CONFIG"] = "/tmp"
config_dir = os.environ.get('DOCKER_CONFIG')
config_file_name = 'config.json'
config_file = os.path.joi... | kubeflow/fairing | tests/unit/cloud/test_docker.py | test_docker.py | py | 578 | python | en | code | 336 | github-code | 6 | [
{
"api_name": "os.environ",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_... |
15565393240 | import logging
import os
from typing import List
from plumbum import cmd, local
from pathlib import Path
import doit
from doit.action import CmdAction
from constants import DEFAULT_DB, DB_USERNAME, DB_PASSWORD, VERBOSITY_DEFAULT
logging.basicConfig()
logger = logging.getLogger("dodo")
logger.setLevel(logging.DEBUG)
... | karthik-ramanathan-3006/15-799-Special-Topics-in-Database-Systems | dodos/dodo.py | dodo.py | py | 7,577 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.basicConfig",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path... |
69894822589 | from airflow import DAG
from airflow.operators.bash_operator import BashOperator
import datetime as dt
from airflow.utils.dates import days_ago
default_args = {
'owner': 'gregh',
'start_date': days_ago(0),
'email': ['myemail@gmail.com'],
'email_on_failure': True,
'email_on_retry': True,
'retri... | gregh13/Data-Engineering | Projects/Capstone Project/Task 5/Part Two - Apache Airflow ETL/process_web_log.py | process_web_log.py | py | 1,221 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "airflow.utils.dates.days_ago",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "datetime.timedelta",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "airflow.DAG",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "datetime.t... |
8927274924 | from datetime import datetime as dt
from datetime import timedelta
import pickle
import time
import dask.dataframe as dd
from dask.distributed import as_completed, worker_client
import numpy as np
import pandas as pd
import requests
import s3fs
BUCKET = "insulator-citi-bikecaster"
INSULATOR_URLS = [
"https://api... | EthanRosenthal/citi-bikecaster-model | calcs.py | calcs.py | py | 4,374 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "s3fs.S3FileSystem",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pickle.loads",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "numpy.int64",
"line_nu... |
30827334271 | import json
import os
class FileUtils:
@staticmethod
def readJsonFile(filePath):
with open(filePath, 'r', encoding='utf-8') as file:
jsonData = json.load(file)
return jsonData
@staticmethod
def writeJsonFile(filePath, jsonData):
with open(filePath, 'w', encoding='u... | Danny0515/Portfolio-crawler | src/main/utils/FileUtils.py | FileUtils.py | py | 622 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "json.load",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 15,
"usage_type": "call"
}
] |
21419147973 | import numpy as np
from os.path import join
from psbody.mesh import Mesh
from fitting.landmarks import load_embedding, landmark_error_3d, mesh_points_by_barycentric_coordinates, load_picked_points
from fitting.util import load_binary_pickle, write_simple_obj, safe_mkdir, get_unit_factor
import open3d as o3d
import argp... | qdmy/flame-fitting | modify_pointcloud.py | modify_pointcloud.py | py | 11,254 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "numpy.std",
... |
31282202503 | # pylint: disable=missing-docstring
# pylint: disable=invalid-name
import functools
import re
# import unicodedata
from string import punctuation as PUNCTUATIONS
import numpy as np
from doors.dates import get_timestamp
SPECIAL_PUNCTUATIONS = PUNCTUATIONS.replace("_", "")
def not_is_feat(col):
return not is_fe... | chechir/doors | doors/strings.py | strings.py | py | 4,406 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "string.punctuation.replace",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "string.punctuation",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "string.lower",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "string.low... |
10389322209 | import glob
import os
from os import path as op
import cv2
import numpy as np
from torch.utils.data import DataLoader
from pathlib import Path
from PIL import Image, ImageFilter
from detection.dummy_cnn.dataset import BaseBillOnBackGroundSet
from tqdm import tqdm
from sewar.full_ref import sam as sim_measure
from iter... | KaraLandes/BachelorsProject | Repo/compare_data_similarity.py | compare_data_similarity.py | py | 8,019 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pathlib.Path",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 22,
... |
20444657924 | from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from bs4 import BeautifulSoup
import time
import csv
class Scraper:
def __init__(self, url):
self.driver = webdriver.Chrome("./chromedriver", options=self.set_chrome_options())
self.url = url
self.open_url... | RasbeeTech/Web-Scraper | scraper.py | scraper.py | py | 3,381 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.chrome.options.Options",
"line_number": 16,
"usage_type": "call"
},
{... |
18757756190 | import argparse
import cv2
# ArgParse รฉ usado para captar argumentos passados na chamada do .py no CMD
ap = argparse.ArgumentParser()
# Aqui definimos a label do argumento esperado
ap.add_argument("-i", "--image", required=True,
help= "Path to the image")
# Criamos um dicionรกrio que receberรก os valores... | CarlosAlfredoOliveiraDeLima/Practical-Python-and-OpenCV-Book | 01 - load_display_save.py | 01 - load_display_save.py | py | 1,041 | python | pt | code | 0 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "cv2.waitKey",
"line_... |
14868890436 | from django.views.generic.base import TemplateView
from albums.forms import FileForm
from albums.models import Album, File
from core.decorators import view_decorator
from core.views import ResourceView
class AlbumPage(TemplateView):
template_name = "albums/main.html"
def expose(view):
view.expose = True
... | qrees/backbone-gallery | albums/views.py | views.py | py | 508 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.views.generic.base.TemplateView",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "core.views.ResourceView",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "albums.models.Album",
"line_number": 19,
"usage_type": "name"
},
{
... |
14987411881 | from PIL import Image
import os
from tkinter import filedialog
import tkinter as tk
def convert_pdf():
index = 0
path_picture = filedialog.askdirectory()
dire = 'Converted'
path_pdf = os.path.join(path_picture , dire)
os.mkdir(path_pdf)
my_list = os.listdir(path_picture)
for i in my_list... | Elkayamacc/Image2PDF | PDFConverterV2.py | PDFConverterV2.py | py | 561 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "tkinter.filedialog.askdirectory",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "tkinter.filedialog",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.pa... |
10819469391 | import numpy as np
import argparse
import imutils
import cv2
ap = argparse.ArgumentParser()
ap.add_argument("-i","--image",required = True, help="Path of Image File")
args = vars(ap.parse_args())
#image = cv2.imread("image.png")
print("Path: ", args["image"])
image = cv2.imread(args["image"])
# find all the 'black' ... | Pallavi04/ComputerVision | FindShapes/shape.py | shape.py | py | 837 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line... |
18798291843 | import matplotlib.pyplot as plt
import random
import numpy as np
from IPython.display import display, clear_output
import time
def head_home(x, y):
"""
Head home down and to the left.
Parameters
----------
x : float
Horizontal coordinate.
y : float
Vertical coor... | msu-cmse-courses/cmse202-F22-data | code_samples/ant_function.py | ant_function.py | py | 4,304 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "numpy.zeros",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "numpy.random.choice",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "random.choice",
... |
6118401140 | ''' ะฃัะพะบ 2. ะะฐััะธะฝะณ HTML. BeautifulSoup, MongoDB
ะะตะพะฑั
ะพะดะธะผะพ ัะพะฑัะฐัั ะธะฝัะพัะผะฐัะธั ะพ ะฒะฐะบะฐะฝัะธัั
ะฝะฐ ะฒะฒะพะดะธะผัั ะดะพะปะถะฝะพััั (ะธัะฟะพะปัะทัะตะผ input) ั ัะฐะนัะพะฒ Superjob(ะฝะตะพะฑัะทะฐัะตะปัะฝะพ) ะธ HH(ะพะฑัะทะฐัะตะปัะฝะพ). ะัะธะปะพะถะตะฝะธะต ะดะพะปะถะฝะพ ะฐะฝะฐะปะธะทะธัะพะฒะฐัั ะฝะตัะบะพะปัะบะพ ัััะฐะฝะธั ัะฐะนัะฐ (ัะฐะบะถะต ะฒะฒะพะดะธะผ ัะตัะตะท input).
ะะพะปััะธะฒัะธะนัั ัะฟะธัะพะบ ะดะพะปะถะตะฝ ัะพะดะตัะถะฐัั ะฒ ัะตะฑะต ะผะธะฝะธะผั... | XYI7I/GeekBrains | AI/Method_collecting_Internet_data/Lesson2/lesson2.py | lesson2.py | py | 10,254 | python | ru | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 91,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_num... |
27022143594 | from pymongo import MongoClient
import pprint
from urllib.request import urlopen
from bs4 import BeautifulSoup
class Data_extraction_creation:
def __init__(self):
self.source=""
self.search=""
self.search_length=0
def getting_source(self):
#client=MongoClient("mongodb://127.0... | Harkishen-Singh/Uber-App-Record-Analysis | creating databasse copy.py | creating databasse copy.py | py | 7,444 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "bs4.BeautifulSoup",
"line_number": 24,
"usage_type": "call"
}
] |
31356164054 | import os
import argparse
import re
import textwrap
default_mpi_function_list = [
"int MPI_Init(int *argc, char ***argv)",
"int MPI_Finalize(void)",
"int MPI_Comm_rank(MPI_Comm comm, int *rank)",
"int MPI_Comm_size(MPI_Comm comm, int *size)",
"int MPI_Send(const void *buf, int count, MPI_Datatype d... | cea-hpc/selFIe | src/parse_mpi.py | parse_mpi.py | py | 9,164 | python | en | code | 16 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 260,
"usage_type": "call"
}
] |
38815716976 | import argparse
import asyncio
import csv
import functools
import gc
import hashlib
import http.client
import importlib
import io
import math
import platform
import re
import socket
import statistics
import sys
import textwrap
import time
import urllib.parse
from typing import Callable, Awaitable, Tuple, Iterable, Opti... | ska-sa/pyconza2020-httpbench | httpbench.py | httpbench.py | py | 8,026 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "typing.Callable",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "typing.Callable",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "typing.Awaitable",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "typing.Iterable",
... |
34565307158 | from random import random, randint
from collections import deque
from math import sin, cos
MAXVAL = 200
MAXINSTR = 12
def new_random_code(length):
return [
(randint(0, MAXINSTR)) if random() > 0.5 else (randint(MAXINSTR + 1, MAXVAL))
for _ in range(length)
]
def point_mutate(code):
cod... | gwfellows/trees | grow.py | grow.py | py | 2,644 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "random.random",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "random.random",
"line... |
34218646786 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Jun 6 12:31:40 2023
@author: tillappel
"""
from arc import *
from IPython.display import display, HTML
import numpy as np
import scipy.constants as sc
import matplotlib.pyplot as plt
def find_largest_c3(n,n_2, l0, j0):
largest_c3_d0 = 0
larges... | tappelnano/RydbergPTG | ARC C3_C6 calc.py | ARC C3_C6 calc.py | py | 7,589 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.abs",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "scipy.constants.epsilon_0",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "scipy.constant... |
29381018111 | import copy
import tempfile
import yaml
import re
import os
import constellation.vault as vault
from constellation.util import ImageReference
def read_yaml(filename):
with open(filename, "r") as f:
dat = yaml.load(f, Loader=yaml.SafeLoader)
dat = parse_env_vars(dat)
return dat
def config_build(... | reside-ic/constellation | constellation/config.py | config.py | py | 4,914 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "yaml.load",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "yaml.SafeLoader",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "copy.deepcopy",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "constellation.vault.vaul... |
37091297903 | #!/usr/bin/python
from __future__ import print_function
import negspy.coordinates as nc
import sys
import argparse
from itertools import tee
def pairwise(iterable):
"s -> (s0, s1), (s2, s3), (s4, s5), ..."
a = iter(iterable)
return zip(a, a)
def main():
parser = argparse.ArgumentParser(description="... | pkerpedjiev/negspy | scripts/chr_pos_to_genome_pos.py | chr_pos_to_genome_pos.py | py | 3,851 | python | en | code | 9 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "negspy.coordinates.get_chrominfo_from_file",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "negspy.coordinates",
"line_number": 55,
"usage_type": "name"
},
{
... |
26040958016 | from __future__ import annotations
import logging
from dataclasses import dataclass
from pants.backend.python.subsystems.twine import TwineSubsystem
from pants.backend.python.target_types import PythonDistribution
from pants.backend.python.util_rules.pex import PexRequest, VenvPex, VenvPexProcess
from pants.core.goal... | pantsbuild/pants | src/python/pants/backend/python/goals/publish.py | publish.py | py | 7,218 | python | en | code | 2,896 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pants.engine.target.StringSequenceField",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "pants.util.strutil.help_text",
"line_number": 30,
"usage_type": "call"
},
{... |
27321032293 | """
Kela Purchase data preprocessing
Reads Kela Purchase data, applies the preprocessing steps below and writes the result to files split by year.
- Convert column names to uppercase
- Rename HETU to FINREGISTRYID
- Format dates to YYYY-MM-DD
- Drop duplicates rows
- Fix data types
Input files:
- For years 1995-2019... | dsgelab/finregistry-data | finregistry_data/registries/kela_purchase.py | kela_purchase.py | py | 3,850 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "pandas.to_datetime",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 91,
"usage_type": "call"
},
{
"api_name": "finregistry_data.u... |
20840870665 | """
ัะฐะนะป ั ััะธะปะธัะฐะผะธ
"""
import os
from time import perf_counter
import numpy as np
from sklearn.metrics import (
brier_score_loss,
matthews_corrcoef,
roc_curve,
precision_recall_curve,
auc,
cohen_kappa_score,
classification_report,
# confusion_matrix,
)
from sklearn.metrics import reca... | Lenin22/ML-Demo | utils.py | utils.py | py | 1,071 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.mean",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.fabs",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "shap.TreeExplainer",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
... |
74190845628 | # -*- coding: utf-8 -*-
__author__ = "ALEX-CHUN-YU (P76064538@mail.ncku.edu.tw)"
from word2vec import Word2Vec as w2v
import MySQLdb
import numpy as np
from bert_embedding import BertEmbedding
import codecs
import re
# Entity to Vector
class E2V_BERT:
# init
def __init__(self):
self.db = MySQLdb.connect(host = "127... | Alex-CHUN-YU/Recommender-System | main_embedding/e2v_bert.py | e2v_bert.py | py | 9,420 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "MySQLdb.connect",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "bert_embedding.BertEmbedding",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "numpy.zeros"... |
26625473616 | """Pluggable newsletter handling."""
from django import forms
from django.utils.translation import ugettext_lazy as _
from livesettings import config_value
from satchmo_store.accounts.signals import satchmo_registration
from satchmo_store.contact.signals import satchmo_contact_view
from satchmo_utils import load_modul... | dokterbob/satchmo | satchmo/apps/satchmo_ext/newsletter/__init__.py | __init__.py | py | 2,206 | python | en | code | 30 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "livesettings.config_value",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "satchmo_utils.load_module",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": ... |
16370593696 | import re
import sys
from collections import defaultdict
def get_num_overlapping_points(lines):
counts = defaultdict(lambda: 0)
for (x1, y1), (x2, y2) in lines:
if x1 == x2:
# hortizonal
y11, y22 = (y1, y2) if y2 > y1 else (y2, y1)
for y in range(y11, y22 + 1):
... | sjsawyer/aoc-2021 | q05/q05.py | q05.py | py | 1,577 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.defaultdict",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 53,
"usage_type": "attribute"
}
] |
3326207971 | import json
import logging
from datetime import datetime
import requests
from system import settings
from system.constants import MODACTION_WH, USELESS_DETAILS
webhook = settings.DISCORD_MODLOG_WEBHOOK
bots = ['AutoModerator', 'FloodgatesBot']
log = logging.getLogger('worker.dsws')
def make_embed(entry):
ts = d... | rchile/mod-toolbox | toolbox/discord_ws.py | discord_ws.py | py | 2,511 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "system.settings.DISCORD_MODLOG_WEBHOOK",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "system.settings",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_n... |
41313263665 | import appdaemon.plugins.hass.hassapi as hass
import time
from babel.numbers import format_number, format_decimal
class wasserdroger(hass.Hass):
def initialize(self):
self.listen_state(self.inputhandler, self.args["trigger"], old="off", new="on")
self.listen_state(self.inputhandler, self.args["tri... | balk77/Home-AssistantConfig | appdaemon4/conf/apps/wasserdroger.py | wasserdroger.py | py | 1,208 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "appdaemon.plugins.hass.hassapi.Hass",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "appdaemon.plugins.hass.hassapi",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "time.time",
"line_number": 17,
"usage_type": "call"
},
{
"a... |
32188046557 | # ํ๋ก๊ทธ๋๋จธ์ค - ์์ ํ์(ํผ๋ก๋)
# ์์ด์ ์ฌ์ฉํด์ ๋์ ์์๋ฅผ ๋ชจ๋ ๋ง๋ค์ด ์ฃผ์๋ค.
# ์ดํ ๋ง๋ค์ด์ง ๋์ ์์๋ฅผ ์ฌ์ฉํ๊ณ for๋ฌธ์ ์ฌ์ฉํด์ result์ ๊ฒฐ๊ณผ๊ฐ
# ๊ฐ์ฅ ๋ง์ ๊ฒ์ผ๋ก ๊ฐ์ ๋ฐ๊พธ์ด ์ฃผ๋ ๋ฐฉ์์ ์ฌ์ฉํ์๋ค.
from itertools import permutations
def solution(k, dungeons):
answer = 0
a = []
for i in range(len(dungeons)):
a.append(i)
permute = permutations(a,len(dungeons))
... | kcw0331/python-for-coding-test | programmers-coding/ํผ๋ก๋.py | ํผ๋ก๋.py | py | 794 | python | ko | code | 0 | github-code | 6 | [
{
"api_name": "itertools.permutations",
"line_number": 11,
"usage_type": "call"
}
] |
29686629055 | from rest_framework.views import APIView
from rest_framework.response import Response
from rest_framework.request import Request
from rest_framework import status
from drf_yasg.utils import swagger_auto_schema
from ..models import (
Appeal,
)
from ..serializers import (
AppealSerializer,
)
class AppealCreate(A... | quvvatullayev/tour | tour/views/appeal.py | appeal.py | py | 2,625 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "rest_framework.views.APIView",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "rest_framework.request.Request",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "serializers.AppealSerializer",
"line_number": 17,
"usage_type": "call"
},
... |
43865643259 | import os
import re
import ssl
from datetime import datetime, timedelta
from typing import Any, Dict, Optional, TypeVar, Union
import ciso8601
T = TypeVar("T", str, None)
# From https://stackoverflow.com/questions/4628122/how-to-construct-a-timedelta-object-from-a-simple-string
# Answer: https://stackoverflow.com/a/... | No767/Kumiko | Bot/Libs/utils/utils.py | utils.py | py | 3,388 | python | en | code | 20 | github-code | 6 | [
{
"api_name": "typing.TypeVar",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "typing.Union",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "datetime.datetime",
"line_n... |
25208776927 | from flask import Flask, request, jsonify
import os
import jwt
from flask_cors import CORS, cross_origin
from dynamodb import DB
application = Flask(__name__)
db = DB()
CORS(application, headers=['Content-Type', 'Authorization'], supports_credentials=True,
expose_headers='Authorization', origins='*')
JWT_S... | DiscreetAI/explora-server | server/main.py | main.py | py | 2,020 | python | en | code | 9 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "dynamodb.DB",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask.request",
"line_numb... |
13583035400 | #!/usr/bin/env python3
import random
import base64
from argparse import ArgumentParser
from os import urandom
from cryptography.hazmat.primitives.ciphers import Cipher, algorithms, modes
from cryptography.hazmat.backends import default_backend
from flask import Flask, jsonify, request, send_from_directory
app = Fla... | zer0x64/breaking-aes-101 | challenges/ctr/ctr2/ctr2.py | ctr2.py | py | 2,060 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.urandom",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.urandom",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "base64.b64encode",
"line_number... |
72179452347 |
import json
with open("test.txt","r",encoding="utf-8") as f:
text = f.read()
"hallo".replace()
# removing unwanted characters from text
words = text.replace('\n',' ').replace('.',' ').replace(',',' ').replace(';',' ').replace('!',' ').replace('?',' ').replace(':',' ')
# split the text into list of words, drop ... | Zadest/python-5 | word_count_dict.py | word_count_dict.py | py | 889 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "json.dump",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 33,
"usage_type": "call"
}
] |
70911318267 | # -*- coding: utf-8 -*-
import scrapy
from time import sleep
from random import randint
class ImdbSpiderSpider(scrapy.Spider):
name = 'imdb_spider'
allowed_domains = ['www.imdb.com']
start_urls = ['https://www.imdb.com/search/title/?release_date=2019-01-01,&sort=num_votes,desc']
page_count = 0
de... | ArRosid/Scrapy-Project | scrapy_project/spiders/imdb_spider.py | imdb_spider.py | py | 1,669 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "scrapy.Spider",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "time.sleep",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "scrapy.Request",
"lin... |
44476674074 | from abc import ABCMeta, abstractmethod
from typing import List
import torch
import torch.nn as nn
import torch.nn.functional as F
from app.config.settings import FONT_LABEL_TO_META, NUM_TOP_K
from app.domain.entity import BoundingBox, PredictFont
from app.domain.preprocess import Preprocessor
from PIL.Image import Im... | kishimoto-banana/font-search-api | app/domain/predictor.py | predictor.py | py | 2,308 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torchvision.models.vgg16_bn",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torchvision.models",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "torch.nn.Conv2d",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torch.... |
39373093044 | import requests
__author__ = "Griffith Asare Awuah (@gwuah)"
class ogma():
"""Language Detection Library For Pythonistas"""
def __init__(self, accessKey):
self.payload = {'access_key': str(accessKey)}
def detect(self, phrase) :
self.payload['query'] = str(phrase)
try :
r = requests.get('http://apilaye... | gwuah/ogma | api.py | api.py | py | 1,561 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "requests.codes",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "requests.exceptions",
"line_number": 32,
"usage_type": "attribute"
}
] |
71573663549 | import requests
from bs4 import BeautifulSoup
import pandas as pd
import numpy as np
import regex as re
from sqlalchemy import create_engine, String, Float, DATE
import pymssql
from datetime import date, datetime
import matplotlib.pyplot as plt
import os
from dotenv import load_dotenv
from empiricaldist import Cdf
impo... | emadam/glassdoor | app.py | app.py | py | 9,171 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.nan",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"line_n... |
70945121788 | # ์น์์ ๊ฒ์์๋ฃ ์ฝ์ ํ ์๋ ํด๋ผ์ฐ๋๋ก ์ถ๋ ฅ
from bs4 import BeautifulSoup
import urllib.request
from urllib.parse import quote
from boto.dynamodb import item
#keyword = input('๊ฒ์์ด:')
keyword = '์ฅ๋ง'
print(keyword)
print(quote(keyword))
# ๋์์ผ๋ณด ๊ฒ์ ๊ธฐ๋ฅ ์ฌ์ฉ
target_url = "http://www.donga.com/news/search?query=" + quote(keyword)... | kangmihee/EX_python | py_morpheme/pack/morp3wordcloud.py | morp3wordcloud.py | py | 1,969 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "urllib.parse.quote",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "urllib.parse.quote",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "urllib.request.request.urlopen",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "... |
20156935479 | from flask import request
def validate_id(id):
# if not found in params
if (id is None):
raise TypeError("Request params (id) not found")
# if description params is empty
if not id:
raise ValueError("id is empty")
# if not integer
if not isinstance(id, int):
rais... | adriangohjw/cz2006-software-engineering | contracts/point_contracts.py | point_contracts.py | py | 1,360 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.request.args.get",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "flask.request.args",
"line_number": 42,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "flask.re... |
19214467121 | from replit import clear
print("Welcome to the secret auction program!")
def highest_bidder(bid_record):
highest = 0
winner = ""
for bidder in bid_record:
bid_amount = bid_record[bidder]
if bid_amount > highest:
highest = bid_amount
winner = bidder
print(f"The winner is {winner} with a bid ... | Iyemizee/Secret_Auction_Project | main.py | main.py | py | 678 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "replit.clear",
"line_number": 24,
"usage_type": "call"
}
] |
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