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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
32052531396 | """Add global level timeline APIs."""
from django.core.paginator import Paginator
from rest_framework import status
from rest_framework.response import Response
from rest_framework.views import APIView
from posts.api.serializers import PostSerializer
from timeline.controllers.central import TimelineCentral
class Tim... | chayan007/tikup | timeline/api/views.py | views.py | py | 1,069 | python | en | code | 5 | github-code | 21 | [
{
"api_name": "rest_framework.views.APIView",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "posts.api.serializers",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "timeline.controllers.central.TimelineCentral",
"line_number": 18,
"usage_type": "call"... |
16064524375 | import time
from selenium import webdriver
from bs4 import BeautifulSoup
import re
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.action_chains import ActionChains
def check_findmore():
try:
driver.find_element_by_xpath(
'//*[@id="Pl_Official_WeiboDetail__74"]'
... | ganhaha/Python-Program | 评论获取微博用户名_II.py | 评论获取微博用户名_II.py | py | 2,240 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "time.sleep",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
... |
74505646771 | from nevow import rend, loaders, tags
from twisted.application import service, internet, strports
from twisted.web import server, static
from twisted.python import failure
from nevow import inevow, rend, appserver, static, guard, url, loaders, stan
from nevow.taglibrary import tabbedPane
import Tree, Settings, LDAP, f... | belasin/tums | tums/trunk/source/Pages/Users/Group.py | Group.py | py | 8,640 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "Pages.Users.Base.Page",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "Pages.Users.Base",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "Core.PageHelpers.DefaultPage.__init__",
"line_number": 22,
"usage_type": "call"
},
{
... |
11669976287 | # -*- coding: utf-8 -*-
__author__ = 'Douglas Uba'
__email__ = 'douglas.uba@inpe.br'
import numpy as np
from utils import create_random_circles, export2file
# Define geo extent
llx = -75.0; lly = -35.50; urx = -34.0; ury = 5.54
extent = [llx, lly, urx, ury]
geoms = create_random_circles(extent, min=0.5, max=30.0, ... | uba/rasterstats-benchmark | generate-random-circles.py | generate-random-circles.py | py | 418 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "utils.create_random_circles",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "utils.export2file",
"line_number": 16,
"usage_type": "call"
}
] |
29805090018 | # -*- coding: utf-8 -*-
"""
Created on Wed Jun 16 00:33:29 2021
@author: domin
"""
import networkx as nx
def nxgraphmaker(dic):
'''return nx.Graph() object from dictionary'''
G=nx.Graph()
for key, value in dic.items():
for i in range(len(value)):
#edge=pydot.Edge(key,value[i])
... | DomiDhillon/Graph_coloring | fiveCC/planarityCheck.py | planarityCheck.py | py | 585 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "networkx.Graph",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "networkx.algorithms.planarity.check_planarity",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "networkx.algorithms",
"line_number": 24,
"usage_type": "attribute"
}
] |
24661990337 | import heapq
import math
import time
from pm4py.objects.petri_net.obj import PetriNet, Marking
from pm4py.objects.petri_net.utils.petri_utils import decorate_places_preset_trans, decorate_transitions_prepostset
from algo.search_algorithm import SearchAlgorithm
from util.alignment_utils import get_transitions_to_visit... | dvdwndrdl/order-aware-alignments | algo/order_aware/dijkstra_order_aware.py | dijkstra_order_aware.py | py | 3,419 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "algo.search_algorithm.SearchAlgorithm",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "pm4py.objects.petri_net.obj.PetriNet",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "pm4py.objects.petri_net.obj.Marking",
"line_number": 15,
"usag... |
25271646550 | import sys
sys.path.append('/home/pi/git/Robotcar')
import evdev
from evdev import InputDevice, categorize, ecodes
from time import sleep
from src.lib.Display import Terminal
import random
class RemoteControl:
aBtn = 304
bBtn = 305
xBtn = 307
yBtn = 308
up = 46
down = 32
left = 18
r... | IA5/RobotPi | Robotcar/src/lib/RemoteControl.py | RemoteControl.py | py | 4,726 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.path.append",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "src.lib.Display.Terminal",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "evdev.InputDevic... |
8043993564 | import io
import re
from operator import itemgetter
def itemNumber(item):
return item[1]
def count(file: io.IOBase) -> list[str]:
wc = dict()
for line in file:
pos = line.find("#")
if pos >= 0:
line = line[:pos]
words = re.split("[\s\.\,\:\;\?\!\"\'\{\}\[\]\(\)\+\=-\\\... | iproduct/intro-python | 04-python-academy-files-lab/problem.py | problem.py | py | 1,287 | python | en | code | 6 | github-code | 21 | [
{
"api_name": "io.IOBase",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "re.split",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "operator.itemgetter",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "operator.itemgetter",
... |
9131006245 | #!/usr/bin/env python3
""" Pagination function
"""
import csv
import math
from typing import List, Tuple
def index_range(page: int, page_size: int) -> Tuple[int, int]:
"""Return 2 member tuple of start, end index
"""
return ((page - 1) * page_size, page * page_size)
class Server:
"""Server class t... | Eric20Junior/alx-backend | 0x00-pagination/2-hypermedia_pagination.py | 2-hypermedia_pagination.py | py | 1,850 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "typing.Tuple",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "csv.reader",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": ... |
13623661329 | from flask import Flask,render_template,request
import numpy as np
import pickle
app=Flask(__name__)
model=pickle.load(open('model.pkl','rb'))
city_encoded=pickle.load(open('city.pkl','rb'))
@app.route('/')
def home():
return render_template('home.html')
@app.route('/predict', methods=['POS... | JasnaFaisal/ICT-Main-Project | app.py | app.py | py | 2,767 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_nu... |
10702350921 | import os
from django.contrib import admin
from django.urls import path
from django.conf import settings
from django.conf.urls.static import static
from django.urls.conf import include
from rest_framework import permissions
from drf_yasg.views import get_schema_view
from drf_yasg import openapi
schema_view = get_sche... | Thewest123/blog-advanced-api | app/app/urls.py | urls.py | py | 1,332 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "drf_yasg.views.get_schema_view",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "drf_yasg.openapi.Info",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "drf_yasg.openapi",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": ... |
23622509778 | from typing import List
from uuid import UUID
from fastapi import Depends, APIRouter, Path, status, HTTPException, Query
from backend.crud.crud_playlists import PlaylistsCrud
from backend.helpers.auth_helper import Authenticate
from backend.helpers.music import is_playlist_showed, validate_playlist_owner, validate_publ... | Semolik/music | backend/api/api_v1/endpoints/music/playlists.py | playlists.py | py | 7,693 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "fastapi.APIRouter",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "backend.schemas.playlists.order_playlist_by",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "backend.core.config.settings.Order",
"line_number": 19,
"usage_type": "attr... |
5324613292 | import pytest
from mock import Mock, patch, call
from .fixtures import engine_mock
class TestHelperFunctions(object):
@patch('ramses.models.engine')
def test_get_existing_model_not_found(self, mock_eng):
from ramses import models
mock_eng.get_document_cls.side_effect = ValueError
mod... | gitter-badger/ramses | tests/test_models.py | test_models.py | py | 8,721 | python | en | code | null | github-code | 21 | [
{
"api_name": "ramses.models.get_existing_model",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "ramses.models",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "mock.patch",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "ramses.model... |
23242921184 | import numpy as np
from utils.preprocessing import compute_average, compute_variance
class GaussianNaiveBayes(object):
""" A Bayes classifier is a simple probabilistic classifier, which is based
on applying Bayes' theorem. The feature model used by a naive Bayes
classifier makes strong independence assum... | ViiSkor/ML-From-Scratch | supervised_learning/gaussian_naive_bayes.py | gaussian_naive_bayes.py | py | 5,577 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.unique",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "numpy.nditer",
"line_number": 76,
"usage_type": "call"
},
{
"api_name": "utils.preprocessing.compute_ave... |
39680502 | #https://machinelearningmastery.com/how-to-develop-lstm-models-for-multi-step-time-series-forecasting-of-household-power-consumption/
#https://blog.keras.io/a-ten-minute-introduction-to-sequence-to-sequence-learning-in-keras.html
#https://levelup.gitconnected.com/building-seq2seq-lstm-with-luong-attention-in-keras-for-... | mauriciodev/tec_forecast | train.py | train.py | py | 8,271 | python | en | code | 8 | github-code | 21 | [
{
"api_name": "os.environ",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.config.experimental.set_memory_growth",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "tensorflow.config",
"line_number": 24,
"usage_type": "attribute"
},
... |
72166888692 | import logging
import sqlite3
import DeviceData
# import ConfigClasses
import re
def execute_queries(cursor, queries, placeholders=None, data=None):
try:
if placeholders and data:
for query, args in zip(queries, zip(placeholders, data)):
cursor.execute(query, args[1])
e... | matthewmoonen/LogiOpsGui | execute_db_queries.py | execute_db_queries.py | py | 18,637 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sqlite3.Error",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "logging.error",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "sqlite3.Error",
... |
42254044179 | # -*- coding: utf-8 -*-
from json import JSONDecodeError
from time import sleep
from functools import partial
import pandas as pd
import quandl
import quandl.errors.quandl_error
import core.utility
from core.contract_store import Store, QuotesType, columns_mapping
from data.data_provider import DataProvider
from core... | chrism2671/PyTrendFollow | data/quandl_provider.py | quandl_provider.py | py | 7,448 | python | en | code | 238 | github-code | 21 | [
{
"api_name": "core.logger.get_logger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "data.data_provider.DataProvider",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "core.contract_store.QuotesType.futures",
"line_number": 24,
"usage_type": "attribu... |
71837093813 | import numpy as np
from scipy.ndimage import grey_dilation, grey_erosion
from pathlib import Path
import torch
import torchvision
from PIL import Image
import random
import cv2
from kornia.morphology import dilation, erosion
from torch.nn import functional as F
def generate_trimap_from_alpha(masks):
batch_size, h... | bsuleymanov/alpha-matting | src/image_utils.py | image_utils.py | py | 3,636 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "numpy.zeros_like",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "scipy.ndimage.grey_dilation",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "scipy.ndimage.grey_erosion",
"line_number": 19,
"usage_type": "call"
},
{
"api_name"... |
24057106091 | """
This is the Entry point for Training the Machine Learning Model.
Written By: Shahriar Sourav
Version: 1.0
Revisions: None
"""
# Doing the necessary imports
from sklearn.model_selection import train_test_split
from data_ingestion import data_loader
from data_preprocessing import preprocessing
from data_preproces... | shahriarkasib/waferproject | trainingModel.py | trainingModel.py | py | 6,808 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "logs_insertion_to_db.training_log_insertion_to_db.training_log_insertion_to_db",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 35,
... |
20676991971 | from lib.ui_interface import Ui_MainWindow
from lib.Models.connection import Conexion
from lib.Models.Acto import Acto
from lib.Models.Voluntario import Voluntario
from lib.Models.Informe import Informe
from lib.Models.Licencias import Licencia
from PySide6 import QtWidgets, QtCore
import sys
import os.path
import pdfk... | Patejuei/Sistema-Estadistica | programa.py | programa.py | py | 27,697 | python | es | code | 0 | github-code | 21 | [
{
"api_name": "PySide6.QtWidgets.QMainWindow",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "PySide6.QtWidgets",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "lib.ui_interface.Ui_MainWindow",
"line_number": 14,
"usage_type": "name"
},
{
... |
18587389211 | # Licensed under a 3-clause BSD style license - see LICENSE.rst
"""
This module contains the classes and utility functions for distance and
cartesian coordinates.
"""
import warnings
import numpy as np
from astropy import units as u
from astropy.utils.exceptions import AstropyWarning
from .angles import Angle
__a... | astropy/astropy | astropy/coordinates/distances.py | distances.py | py | 9,174 | python | en | code | 4,015 | github-code | 21 | [
{
"api_name": "astropy.units.SpecificTypeQuantity",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "astropy.units",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "astropy.units.m",
"line_number": 100,
"usage_type": "attribute"
},
{
"api_n... |
16297394981 | # Down The Marianas Trench Initial Release - Computer Science - Culminating Performance Task
# **IMPORTANT NOTE** Program was written in VSCODE, certain elements/components may not work as expected on Repl.it.**
# **IMPORTANT NOTE** Possible file location issues with Pyzo. Please use r prefix to specify proper file loc... | nuhgooyin/World-Vision-Gamemaker-Contest | ICS3UC CPT By Dan Nguyen.py | ICS3UC CPT By Dan Nguyen.py | py | 19,647 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "pygame.init",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "pygame.displa... |
4350228130 | import pandas as pd
from sqlalchemy.orm import Session
from db.vehicles import VehicleModel
from services.vehicles_data_service import VehiclesDataService
from tests.factories.vehicle_factory import VehicleModelFactory
from unittest.mock import patch, MagicMock
import pytest
import io
# The vehicles_data_service fixt... | JesusAnaya/vehicles-get-information-api | tests/services/test_vehicles_data_service.py | test_vehicles_data_service.py | py | 5,640 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sqlalchemy.orm.Session",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "services.vehicles_data_service.VehiclesDataService",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 14,
"usage_type": "call"
},
... |
70533983092 | import pytest
from solutions import (
_compare,
_find_indexes_of_packet_pairs_in_correct_order,
_load_puzzle_input,
_parse,
)
@pytest.fixture
def example_data():
example_input = _load_puzzle_input(filename="example.txt")
return _parse(example_input)
def test_parse(example_data):
assert l... | TomJGooding/advent-of-code | src/advent_of_code/year_2022/day_13/test_solutions.py | test_solutions.py | py | 1,313 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "solutions._load_puzzle_input",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "solutions._parse",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "sol... |
12606731041 | # python/exam_solution.py
import datetime
class PostcardList:
def __init__(self):
self._file = None
self._postcards = list()
self._date = dict()
self._from = dict()
self._to = dict()
def writeFile(self):
'''
Write self.{_date,_from,_to} to self._file
... | pigozzif/Advanced_Programming_2018-19_Final_Project | Python/exam_solution.py | exam_solution.py | py | 4,195 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "datetime.datetime.strptime",
"line_number": 120,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 120,
"usage_type": "attribute"
}
] |
10290942409 | import itertools
from pathlib import Path
from typing import List
import matplotlib.pyplot as plt
import pandas as pd
import seaborn as sns
from exptune.utils import FinalRunsSummarizer
def _trial_curve(train_df: pd.DataFrame, quantity: str, path: Path) -> None:
plt.clf()
sns.lineplot(x="training_iteration"... | shyam196/exptune | exptune/summaries/final_run_summaries.py | final_run_summaries.py | py | 3,160 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pandas.DataFrame",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.clf",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "matplotlib.p... |
7520081091 | import cryptography.x509
import re
from ._bean import bean_serializer, value_to_xml
from ._bean_serializers import bean_class
@bean_class('javax.security.auth.x500.X500Principal')
class Name(list):
#: The escapable characters
ESCAPABLES = ('"', '+', ',', ';', '<', '>')
#: A mapping from short attribute ... | moses-palmer/truepy | lib/truepy/_name.py | _name.py | py | 3,789 | python | en | code | 44 | github-code | 21 | [
{
"api_name": "cryptography.x509.x509",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "cryptography.x509",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "cryptography.x509.x509",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_nam... |
70046012534 | from pytest import raises as assert_raises
from bundlebuilder.constants import (
DESCRIPTION_MAX_LENGTH,
CONFIDENCE_CHOICES,
REVISION_MIN_VALUE,
SEVERITY_CHOICES,
SHORT_DESCRIPTION_LENGTH,
TLP_CHOICES,
SCHEMA_VERSION,
DEFAULT_SESSION_SOURCE,
DEFAULT_SESSION_SOURCE_URI,
DEFAULT_S... | CiscoSecurity/tr-05-ctim-bundle-builder | tests/unit/models/primary/test_sighting.py | test_sighting.py | py | 5,851 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "bundlebuilder.constants.DESCRIPTION_MAX_LENGTH",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "bundlebuilder.constants.DESCRIPTION_MAX_LENGTH",
"line_number": 50,
"usage_type": "name"
},
{
"api_name": "pytest.raises",
"line_number": 57,
"usage_t... |
73366317172 | import config
from .email_constants import *
import clients.ses_client as ses
import utils.general
def send_experiment_status_email(exp, to_email):
body = get_experiment_status_template(exp)
ses.send_email(EXPERIMENT_STATUS_EMAIL['subject'], body, to_email)
def get_experiment_status_template(exp):
statu... | bfortuner/pytorch-kaggle-starter | notifications/emailer.py | emailer.py | py | 644 | python | en | code | 317 | github-code | 21 | [
{
"api_name": "clients.ses_client.send_email",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "clients.ses_client",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "utils.general.general.dict_to_html_ul",
"line_number": 15,
"usage_type": "call"
},
{
... |
32714540301 | #%%
import os
import json
import logging
import time
from Notification import NotifyThread
from telegram.ext import Updater, Filters, CommandHandler, MessageHandler
from MsgReplyer import start_cmd, help_cmd, add_cmd, del_cmd, list_cmd, exp_msg, error_callback
logging.basicConfig(format='%(asctime)s - %(name)s - %(le... | PipperL/Discount_Notf_Bot | src/main.py | main.py | py | 1,876 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "logging.basicConfig",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "logging.WARNING",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "json.load"... |
42759879849 | import sys
import os
import shutil
if sys.version_info[0] == 2:
import ConfigParser as configparser
else:
import configparser
from .kwargs import ENCODER_DECODER_MORPH_LEARNER_INITIALIZATION_KWARGS
class Config(object):
def __init__(self, path):
config = configparser.ConfigParser()
confi... | coryshain/MorphAE | encoder_decoder_morph_learner/config.py | config.py | py | 2,364 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.version_info",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "configparser.ConfigParser",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "os.path... |
30505910338 | # To read district densities csv files
import csv
# To handle colors
from matplotlib.cm import plasma, inferno, Greys, viridis
from matplotlib.colors import to_hex
# To work with json formatted files
import json
# To work with polygons
from shapely.geometry import Point
from shapely.geometry.polygon import Polygon
... | schakalakka/uab-ri | mapping/districts.py | districts.py | py | 6,962 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "csv.reader",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "matplotlib.cm.Greys",
"line_number": 119,
"usage_type": "name"
},
{
"api_name": "matplotlib.cm.plasma",
"line_number": 121,
"usage_type": "name"
},
{
"api_name": "matplotlib.cm.i... |
8195599099 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Jun 22 08:27:24 2018
@author: john
"""
import numpy as np
import scipy as scp
import scipy.stats as stats
import matplotlib.pyplot as plt
#test formulations of reward functions
def calcActionDiffRew(a, wt=1.0):
adt = a.dot(a)
rew = wt * np.exp... | jturner65/Getup-DRL_Sripts | test stuff/testRwdFuncFormula.py | testRwdFuncFormula.py | py | 8,298 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.exp",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.exp",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 105,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number... |
24345086816 | from selenium import webdriver
import pandas
# import pyexcel as p
import datetime
import time
import math
import argparse
import datetime
from tkinter import *
from functools import partial
import tkinter as tk
from tkinter import messagebox
def selenium(worker):
PROXY = "proxy.fpt.vn:80" # IP:... | Vutya/NLP | seleniumAndTkinter.py | seleniumAndTkinter.py | py | 4,334 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "selenium.webdriver.ChromeOptions",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 21,
"usage_type": "call"
},
{
"api... |
15761471583 | import numpy as np
import os
import PIL.Image as pil
import random
import torch
from torchvision import transforms
import cv2
from .mono_dataset import MonoDataset
from tools.add_noise import add_gausian_noise
class UAVDataset(MonoDataset):
"""Superclass for UAV dataset loaders
"""
def __init__(self, *a... | hjxwhy/monodepth2 | datasets/uav_dataset.py | uav_dataset.py | py | 7,884 | python | en | code | null | github-code | 21 | [
{
"api_name": "mono_dataset.MonoDataset",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "random.shuffl... |
27922988657 | '''
https://github.com/snap-stanford/ogb/blob/master/examples/nodeproppred/products/graph_saint.py master: cb1f235
report acc: 0.7908 ± 0.0024
rank: 10
date: 2020-10-27
'''
import time
import sys
import argparse
import torch
from tqdm import tqdm
import torch.nn.functional as F
from torch_geometric.data import Graph... | AugF/ogb-evaluations | exp/products/graphsaint_sage.py | graphsaint_sage.py | py | 9,909 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "torch.nn",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.ModuleList",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "torch_geometric.nn.SA... |
23837222800 | """
Preprocessor and data importer from course distributions by yearsessions. Uses a combination of PAIR Reports and Tableau
Dashboard data.
"""
from app import create_app
from config import Config
from app.models import PAIRReportsGrade as PRG, TableauDashboardGrade as TDG, TableauDashboardV2Grade as TDG2, CourseV2, ... | DonneyF/ubcgrades | scripts/db_fill_course_distributions.py | db_fill_course_distributions.py | py | 8,781 | python | en | code | 27 | github-code | 21 | [
{
"api_name": "app.models.CampusEnum.UBCV",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "app.models.CampusEnum",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "app.models.CampusEnum.UBCO",
"line_number": 15,
"usage_type": "attribute"
},
{
... |
19071524738 | from typing import Optional
from TreeNode import TreeNode
# https://leetcode.com/problems/merge-two-binary-trees/
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, val=0, left=None, right=None):
# self.val = val
# self.left = left
class Solution:
def mergeTrees(self, r... | BoydBLever/Algorithms | LeetCodePatterns/617.MergeTwoBinaryTrees.py | 617.MergeTwoBinaryTrees.py | py | 785 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "typing.Optional",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "TreeNode.TreeNode",
"line_number": 11,
"usage_type": "name"
}
] |
35593407808 | from geotiler.geo import Transformation, WebMercator, zoom_to
from functools import partial
import pytest
approx = partial(pytest.approx, abs=1e-3)
@pytest.fixture
def web_mercator():
wm = WebMercator(10)
wm.transformation = Transformation(1, 0, 0, 0, 1, 0)
return wm
def test_transformation_identity() ... | wrobell/geotiler | geotiler/tests/test_geo.py | test_geo.py | py | 2,446 | python | en | code | 41 | github-code | 21 | [
{
"api_name": "functools.partial",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pytest.approx",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "geotiler.geo.WebMercator",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "geotiler.... |
72069873333 | from socketserver import TCPServer, ThreadingMixIn, BaseRequestHandler
from datetime import datetime, date
from kafka import KafkaConsumer
from kafka import KafkaProducer
import _thread
import time
class ThreadedTCPServer(ThreadingMixIn, TCPServer):
pass
class OnesSocketServerHandler(BaseRequestHandler):
def ... | dmarenin/OnesSocketServer | OnesSocketServer/ones_socket_server.py | ones_socket_server.py | py | 4,577 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "socketserver.ThreadingMixIn",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "socketserver.TCPServer",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "socketserver.BaseRequestHandler",
"line_number": 11,
"usage_type": "name"
},
{
"... |
36444994561 | #the last thing I was working on was the thing where I have a dictionary of things and
#I also have a list of things, complementary, may or may ot be necessary, actually maybe unique
from kivy.app import App
from kivy.uix.label import Label
from kivy.graphics import Color, Rectangle
from kivy.uix.screenmanager import ... | JessieSalas/chorderly | main.py | main.py | py | 4,147 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "kivy.uix.floatlayout.FloatLayout",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "kivy.properties.ListProperty",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "kivy.properties.StringProperty",
"line_number": 22,
"usage_type": "call"
... |
33892034095 | from flask import Flask, flash, redirect, render_template, request, session, abort, url_for
import os
from pymongo import MongoClient
import json
from werkzeug import secure_filename
# import csv
# import subprocess
import pandas as pd
import numpy as np
from util_nlp_2 import parseS
from gcpParser import syntax_text
f... | arthurkang123/natural-language-processing-bi | legacy.py | legacy.py | py | 8,317 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
... |
20753342237 | from sqlalchemy import create_engine
from sqlalchemy.orm import scoped_session, sessionmaker
db_url = "postgres://lgttpdhhguejbs:f4d62fb55654bc4926db58ad57b54674c779415c1febfcf87246574937f04fcf@ec2-107-20-173-2.compute-1.amazonaws.com:5432/d98ghsgms2kp76"
engine = create_engine(db_url)
db = scoped_session(sessionmaker... | flyyee/cep-moviereviewsite | 1.0/t/findtests.py | findtests.py | py | 741 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sqlalchemy.create_engine",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.orm.scoped_session",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.orm.sessionmaker",
"line_number": 6,
"usage_type": "call"
}
] |
10027120742 | import requests as rq
from bs4 import BeautifulSoup
import time
import json
import re
import numpy as np
import datetime
import unicodedata
import pandas as pd
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium import webdriver
from selenium.webdriver.common.by import By
from sel... | zacharyang/dsi-sg-6 | Project-4/get_jobs.py | get_jobs.py | py | 4,514 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.support.ui.WebDriverWait",
"line_number": 45,
"usage_type": "call"
},
... |
20192606363 | #!/usr/bin/python3
import argparse
import json
PUBLIC_MACROS = (
(
"RELLUME_PUBLIC_REG", lambda e: "reg" in e and e.get("export"),
"RELLUME_PUBLIC_REG({name}, {NAME}, {size}, {offset})",
),
)
PRIVATE_MACROS = (
(
"RELLUME_MAPPED_REG", lambda e: "reg" in e,
"RELLUME_MAPPED_... | aengelke/rellume | data/rellume/cpustruct_parser.py | cpustruct_parser.py | py | 1,467 | python | en | code | 259 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "argparse.FileType",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "argparse.FileType",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "json.load... |
34856560321 | import cv2
import numpy as np
import re
def drawtext(framedata, coords, text="No data", ):
"""
Draws the requested text on top of a video frame
:param framedata: the video frame
:param coords: X, Y coordinates of the left-bottom corner of a text rectangle
:param text: the text to be ... | igyukun/GetVoxiVideoPythonProject | utils.py | utils.py | py | 2,106 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "cv2.FONT_HERSHEY_PLAIN",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "cv2.putText",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "cv2.FILLED",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "numpy.mean",
... |
467433543 | import telebot
from core import anki_engine
from bot.base_view.views import ViewPrototype
from . import keyboards
from . import messages
class CardView(ViewPrototype):
def ask_first_card_side(self):
self.edit_to_cancel_message()
placeholder = telebot.types.ForceReply(input_field_placeholder=mes... | KozlovKV/anki-bot | bot/card_view/views.py | views.py | py | 3,627 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "bot.base_view.views.ViewPrototype",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "telebot.types.ForceReply",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "telebot.types",
"line_number": 14,
"usage_type": "attribute"
},
{
"api... |
39868484933 | # endpoints/read.py
from fastapi import HTTPException, APIRouter
from api.crud import read_email
router = APIRouter()
@router.get("/read/{email_id}", response_description="Read an email by ID")
def read_endpoint(email_id: str):
email = read_email(email_id)
if email:
return email
raise HTTPExceptio... | yves1da2vinci3/email_autmoation | api/endpoints/read.py | read.py | py | 365 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "fastapi.APIRouter",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "api.crud.read_email",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "fastapi.HTTPException",
"line_number": 12,
"usage_type": "call"
}
] |
16992977794 | from collections import defaultdict, Counter
import numpy as np
from inverted_index_gcp import *
import math
TUPLE_SIZE = 6
TF_MASK = 2 ** 16 - 1 # Masking the 16 low bits of an integer
from contextlib import closing
def read_posting_list(inverted, w,folder_name):
with closing(MultiFileReader()) as r... | noaradin1/Information-Retreival-Project | ranking.py | ranking.py | py | 4,613 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "contextlib.closing",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "nu... |
40542728132 | from common.agent_events import FingerprintingEvent
from common.types import SocketAddress
from monkey_island.cc.models import Machine, NetworkServices
from monkey_island.cc.repositories import IMachineRepository, NetworkModelUpdateFacade
class FingerprintingEventHandler:
"""
Handles fingerprinting event and ... | guardicore/monkey | monkey/monkey_island/cc/agent_event_handlers/fingerprinting_event_handler.py | fingerprinting_event_handler.py | py | 2,313 | python | en | code | 6,367 | github-code | 21 | [
{
"api_name": "monkey_island.cc.repositories.NetworkModelUpdateFacade",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "monkey_island.cc.repositories.IMachineRepository",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "common.agent_events.FingerprintingEvent",... |
12407399437 | from pyspark import SparkConf, SparkContext
# setting up sparkContext (sc)
conf = SparkConf().setMaster("local").setAppName("minTemperatures")
sc = SparkContext(conf=conf)
# reading the csv file and returning a RDD object
lines = sc.textFile("G://Mi unidad//Big data//Spark//RDD//1800.csv")
def parseline(l... | juanfelipehdezm/Big-Data | Spark/RDD/min_max_temperatures.py | min_max_temperatures.py | py | 1,172 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pyspark.SparkConf",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pyspark.SparkContext",
"line_number": 5,
"usage_type": "call"
}
] |
25541402441 | import face_alignment
import imageio
import time
import logging
import sys
DEVICE = "cpu" if "c" in sys.argv[1] else "cuda:0"
FNAME = sys.argv[2]
logger = logging.getLogger(__name__)
logging.basicConfig(level=logging.DEBUG)
t0 = time.time()
logger.debug("Module start")
# Run the 3D face alignment on a test image, wi... | sltay/face-alignment | hpc/small_gpu.py | small_gpu.py | py | 875 | python | en | code | null | github-code | 21 | [
{
"api_name": "sys.argv",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
... |
40994005225 | """Python setup.py for pyUdK package"""
import io
import os
from setuptools import find_packages, setup
VERSION = '1.0.6'
def read(*paths, **kwargs):
"""Read the contents of a text file safely. >>> read("project_name", "VERSION")
'0.1.0' >>> read("README.md") ..."""
content = ""
with io.open(
... | Eddy-Morgan/pyudk | setup.py | setup.py | py | 1,860 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "io.open",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number"... |
42684912243 | import os
from keras.preprocessing import image
from keras.applications.inception_v3 import InceptionV3, preprocess_input
from keras.models import Model, load_model
from keras.layers import Input
import numpy as np
import keras
import os.path
from tqdm import tqdm
import csv
import tensorflow
import random
import glob
... | lucky31044/Action-Recognition- | app.py | app.py | py | 4,700 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_... |
7986099384 | import copy
import PySimpleGUI as sg
import pandas as pd
from datetime import datetime, timedelta
from statsmodels.tsa.statespace.sarimax import SARIMAX
import matplotlib.pyplot as plt
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg, NavigationToolbar2Tk
import random
import numpy as np
def generate_f... | iTteruya/TouristFLowModel | src/forecasting.py | forecasting.py | py | 12,756 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "random.choice",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "numpy.concatenate",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line... |
70118326772 | """
@author lferiani
@date June 18th, 2019
Pipette rack in 4 and 1
Source 48MWP in 2
Destination 96MWP in 3
First take some water from A2 and put it in C2, take some DMSO from B2 and mix it with the water in C2,
Take 1.5 ul DMSO from B2 and distribute it in destination
Take 3 ul of DMSO+H2O from C2 and distribute it ... | luigiferiani/OTprotocols | 20190618_water+drug_96MWP.py | 20190618_water+drug_96MWP.py | py | 5,786 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "opentrons.labware.list",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "opentrons.labware",
"line_number": 58,
"usage_type": "name"
},
{
"api_name": "opentrons.labware.create",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "ope... |
38678593023 | import tempfile
import seaborn as sns
import math
from shared import mapColumnNames
import pingouin as pg
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib
matplotlib.use('Agg')
class ParseInput():
def __init__(self, list):
self.geek = "GeekforGeeks"
self.data = self.preproces... | jordibosch20/statistcts-backend-platform | parseInput.py | parseInput.py | py | 4,527 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "matplotlib.use",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "matplotlib.... |
36552199305 | import pygame
import sys
import time
import math
import argparse
from RobotLib.FrontEnd import *
from RobotLib.IO import *
from RobotLib.Math import *
import numpy as np
from threading import Timer
W = 0.5 #rad/s
L = 8.4 # cm (Distance between wheels)
DISPLAY_SIZE = 256
V = 2 # 2 cm/s (Robot velocity)
D = 5 # cm (whe... | ericvelazquez/Robotics | HW1/template.py | template.py | py | 8,062 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "math.pi",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": 95,
"usage_type": "call"
},
{
"api_name": "math.pi",
"line_number": 100,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number... |
26952285920 | import torch
import torch.nn as nn
from torch.nn import init
import torch.nn.functional as F
from torchsummary import summary
class Hswish(nn.Module):
def forward(self, x):
out = x * F.relu6(x + float(3.0), inplace=True) / float(6.0)
return out
class Hsigmoid(nn.Module):
def forward(self, x... | baaj2109/pytorch_object_detection | models/mobilenetv3.py | mobilenetv3.py | py | 6,094 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "torch.nn.Module",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "torch.nn.functional.relu6",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.nn.functi... |
19387346793 | from django.shortcuts import render, HttpResponseRedirect, HttpResponse
from django.utils.timezone import timezone
from django.urls import reverse
from django import forms
from .models import Email
from .forms import EmailForm
# Create your views here.
def index(request):
error = ''
if request.method == 'POS... | MyodsOnline/FinFax_django | message/views.py | views.py | py | 836 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "forms.EmailForm",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.HttpResponseRedirect",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "django.urls.reverse",
"line_number": 17,
"usage_type": "call"
},
{
"api_nam... |
14111624636 | from django.shortcuts import render, redirect
from django.http import HttpResponse, FileResponse
import os
import sys
import time
from subprocess import Popen, PIPE
from configparser import ConfigParser
import time
from django.contrib import auth
from django.contrib.auth import authenticate, login
from django.contrib... | yann-sjtu/software | show/views.py | views.py | py | 8,922 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.path.append",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "configparser.ConfigParser",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "client.bcoscl... |
38772379956 | #!/usr/bin/env python3
import os
import csv
import sys
import codecs
import re
import pandas as pd
from pandas.io.json import json_normalize
import numpy as np
import argparse
import spacy
from spacy.tokens import Doc
from spacy.vocab import Vocab
from spacy.tokenizer import Tokenizer
#from spacy.vectors import Vect... | scalleri/originaltweetsonly | classify.py | classify.py | py | 10,331 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "sklearn.feature_extraction.text.TfidfVectorizer",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.LabelEncoder",
"line_number": 54,
"usage_ty... |
40326161611 | from subprocess import Popen, PIPE
from time import sleep
import json
import qrcode
def create_qr(data):
qr = qrcode.QRCode(
version=1,
error_correction=qrcode.constants.ERROR_CORRECT_L,
box_size=10,
border=1,
)
qr.add_data(data)
qr.make(fit=True)
img = qr.make_ima... | xuiqzy/Airdrop-Crazy | airdrop_crazy/utils/ngrok_detect.py | ngrok_detect.py | py | 710 | python | en | code | null | github-code | 21 | [
{
"api_name": "qrcode.QRCode",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "qrcode.constants",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "subprocess.Popen",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "subprocess.PIPE",... |
13107275481 | # -*- coding: utf-8 -*-
from __future__ import print_function
from pyicloud import PyiCloudService
from base64 import b64decode
import boto3
import os
APPLICATION_ID = boto3.client('kms').decrypt(CiphertextBlob=b64decode(os.environ['APPLICATION_ID']))['Plaintext']
APPLE_ID = boto3.client('kms').decrypt(CiphertextBlob... | ShinsukeYokota/alexa-iphone-finder | lambda_function.py | lambda_function.py | py | 7,749 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "boto3.client",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "base64.b64decode",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "boto3.client",
"line_n... |
33224744538 | from django.db import models
# Create your models here.
from django.utils import timezone
from django.utils.text import slugify
class Movie(models.Model):
CATEGORY_CHOICES = (
('Action', 'ACTION'),
('Drama', 'DRAMA'),
('Comedy', 'COMEDY'),
('Romance', 'ROMANCE'),
('Horror... | Mouiad-JRA/Movie-app | src/movie/models.py | models.py | py | 1,999 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "django.db.models.Model",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": ... |
31098259097 | import numpy as np
import matplotlib.pyplot as plt
import os
import backup
def eeg_like(file_name, folder=None):
if folder is None:
folder = "data/figures"
os.makedirs(folder, exist_ok=True)
bkp = backup.RunBackup.load(file_name=file_name)
pst = bkp.positions
prc = bkp.prices
t_m... | AurelienNioche/HotellingBathtub | analysis/separate/eeg_like.py | eeg_like.py | py | 3,064 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.makedirs",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "backup.RunBackup.load",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "backup.RunBackup",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "numpy.arange"... |
73767945971 | from typing import List
"""
121. Best Time to Buy and Sell Stock
You are given an array prices where prices[i] is the price of a given stock on the ith day.
You want to maximize your profit by choosing a single day to buy one stock and choosing a different day in the future to sell that stock.
Return the maximum pr... | JayMil/interview_prep | leet_code/0121_best_time_to_buy_and_sell_stock.py | 0121_best_time_to_buy_and_sell_stock.py | py | 1,182 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "typing.List",
"line_number": 22,
"usage_type": "name"
}
] |
17516107470 | from setuptools import setup
import re
# change == to >=
def load_reqs(filename):
with open(filename) as reqs_file:
return [
re.sub('==', '>=', line) for line in reqs_file.readlines()
if not re.match(r'\s*#', line)
]
requirements = load_reqs('requirements.txt')
setup(
... | sanjeevm0/kcluster-client | setup.py | setup.py | py | 693 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "re.sub",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "re.match",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "setuptools.setup",
"line_number": 14,
"usage_type": "call"
}
] |
22328025376 | from collections import defaultdict
class Graph:
def __init__(self):
self.neighbours=defaultdict(list)
def addEdge(self,u,v,bidirec=True):
#bidirectional True for undirected graph
self.neighbours[u].append(v)
if(bidirec):
self.neighbours[v].append(u)
def BFS(self,s):
queue=[s]
visited=defaultdict(l... | thecodearrow/Algorithms | BFS.py | BFS.py | py | 827 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "collections.defaultdict",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 15,
"usage_type": "call"
}
] |
39831193540 | #!/usr/bin/env python3
""" Script to host a flask application """
from flask import Flask, jsonify
app = Flask(__name__)
@app.route('/', strict_slashes=True)
def index() -> jsonify:
info = {
"message": "Bienvenue"
}
return jsonify(info)
if __name__ == "__main__":
app.run(host="0.0.0.0", p... | Ddilibe/alx-backend-user-data | 0x03-user_authentication_service/app.py | app.py | py | 332 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.jsonify",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask.jsonify",
"line_number": 10,
"usage_type": "name"
}
] |
73149018613 |
import pandas as pd
import pickle
import requests
from bs4 import BeautifulSoup
from sklearn.model_selection import train_test_split
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.linear_model import LogisticRegression
from sklearn.metrics import precision_score, recall_score, accuracy_score... | gulcinvardar/lyrics_web_scraping | song_lyrics_with_artist_of_choice_model.py | song_lyrics_with_artist_of_choice_model.py | py | 6,977 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "nltk.download",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "nltk.download",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"li... |
70309686134 | """Matplotlib Densityplot."""
from itertools import cycle
import matplotlib.pyplot as plt
import numpy as np
from ....stats import hdi
from ....stats.density_utils import get_bins, kde
from ...plot_utils import _scale_fig_size, calculate_point_estimate
from . import backend_kwarg_defaults, backend_show, create_axes_g... | arviz-devs/arviz | arviz/plots/backends/matplotlib/densityplot.py | densityplot.py | py | 5,478 | python | en | code | 1,461 | github-code | 21 | [
{
"api_name": "itertools.cycle",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 49,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 49,
"usage_type": "name"
},
{
"api_name": "plo... |
4839353346 | from django.urls import path
from myapp.view import views, blogviews, userview, prideviews, collectviews, commentviews
urlpatterns = [
path('index', views.index),
path('register', userview.register),
path('login', userview.login),
path('userdetail', userview.getuser),
path('userinfo', userview.get... | CysionLiu/KtDevBox-backend | myapp/urls.py | urls.py | py | 1,218 | python | en | code | 19 | github-code | 21 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "myapp.view.views.index",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "myapp.view.views",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.url... |
39413912589 | from django.shortcuts import render
from .models import Room
from .models import Message
from django.http import Http404
from django.shortcuts import get_object_or_404
from django.shortcuts import redirect
from pytz import timezone
from django.contrib.auth.models import User
from django.contrib.auth.decorators import ... | jeniwen/goodpaint | chat/views.py | views.py | py | 1,236 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.shortcuts.get_object_or_404",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.models.User",
"line_number": 16,
"usage_type": "argument"
},
{
"api_name": "models.Room.objects.get_or_create",
"line_number": 17,
"usage_type... |
5346940298 | import os
import csv
import cv2
import numpy as np
import sklearn
samples = []
with open('data/driving_log.csv') as csvfile:
reader = csv.reader(csvfile)
for line in reader:
next(reader,None)#neglecting the first line as it is titled row
samples.append(line)
from sklearn.model_sel... | avinashsingh93/behaviour-cloning | model.py | model.py | py | 5,402 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "csv.reader",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "random.shuffle",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "cv2... |
27794955325 | import torch
import torch.nn as nn
from tqdm import tqdm
def init_weights(m):
for name, param in m.named_parameters():
nn.init.uniform_(param.data, -0.08, 0.08)
def write_embeddings(path, embeddings, id_to_vocab):
with open(path, 'w') as f:
for i, embedding in enumerate(tqdm(embeddings)):
... | dasollee2525/2021-SWE-AIProject | src/utils/pretrain/util_functions.py | util_functions.py | py | 720 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "torch.nn.init.uniform_",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "torch.nn.init",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "tqdm.tqdm",
"line... |
3721795539 | import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
#Github: https://github.com/sujitmandal
#This programe is create by Sujit Mandal
"""
Github: https://github.com/sujitmandal
This programe is create by Sujit Mandal
"""
data = pd.DataFrame({'x':[12,20,28,18,29,33,24,45,52,51,15,... | sujitmandal/Machine-Learning | k-mean clustering/k-meas clustering for dataset.py | k-meas clustering for dataset.py | py | 2,041 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "pandas.DataFrame",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.scatter",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "numpy.ra... |
25630543665 | import ealib
import datetime
import numpy as np
population_size = 16
number_of_clusters = 3
objective_indices = [0, 1]
archive = ealib.BruteforceArchive(objective_indices)
init = ealib.CategoricalUniformInitializer()
foslearner = ealib.CategoricalLinkageTree(ealib.NMI(), ealib.FoSOrdering.AsIs)
criterion = ealib.MOG... | 8uurg/Impact-of-Asynchrony-on-MBEAs | EALib/python_examples/example_mo_single_pop.py | example_mo_single_pop.py | py | 1,621 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "ealib.BruteforceArchive",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "ealib.CategoricalUniformInitializer",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "ealib.CategoricalLinkageTree",
"line_number": 11,
"usage_type": "call"
},
... |
41567300711 | #!/usr/bin/env python3
import os
import argparse
import re
import subprocess
def get_process_user(pid):
"""Retrieve the user of a given process."""
cmd = f"ps -o user= -p {pid}"
result = subprocess.check_output(cmd, shell=True).decode('utf-8').strip()
return result
def get_gpu_processes():
"""Get... | csullivan/settings | scripts/kill_orphaned_gpu_processes.py | kill_orphaned_gpu_processes.py | py | 2,276 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "subprocess.check_output",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "subprocess.check_output",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "subprocess.check_output",
"line_number": 31,
"usage_type": "call"
},
{
"api_name"... |
23860967517 | import itertools
import numpy as np
from scipy import signal
from scipy.stats import skew, kurtosis
from biosppy.signals import ecg
from features import hrv, heartbeats, fs
from features.melbourne_eeg import calcActivity, calcMobility, calcComplexity
from loading import loader
from utils import common, matlab
def fr... | victorkifer/ecg-af-detection-physionet-2017 | features/feature_extractor5.py | feature_extractor5.py | py | 7,592 | python | en | code | 18 | github-code | 21 | [
{
"api_name": "scipy.signal.welch",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "scipy.signal",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "loading.loader.FREQUENCY",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "loading... |
37259658372 | import numpy as np
import pandas as pd
import re
import nltk
import json
from sklearn.feature_extraction.text import TfidfVectorizer
import numpy
def largest_indices(ary, n):
"""Returns the n largest indices from a numpy array."""
flat = ary.flatten()
indices = np.argpartition(flat, -n)[-n:]
indice... | ahmedakbari/big_data | twitter_preprocess/keyword_extractor.py | keyword_extractor.py | py | 2,032 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.argpartition",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.argsort",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.unravel_index",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sklearn.feature_... |
23386957237 | """
Raul Valenzuela
raul.valenzuela@colorado.edu
"""
import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns
import tta_analysis3 as tta
import pandas as pd
import tta_continuity
from matplotlib import rcParams
from rv_utilities import discrete_cmap
# sns.reset_orig()
sns.set_style("whiteg... | rvalenzuelar/tta_climatology | figure_tta_events_per_season_and_wd.py | figure_tta_events_per_season_and_wd.py | py | 4,233 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "seaborn.set_style",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "matplotlib.rcParams",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "matplotlib.rcParams",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "matplotlib.... |
34658103051 | import socket
import tqdm
import os
SEPARATOR = "<SEPARATOR>"
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s.connect((socket.gethostname(), 8090))
# msg_from_server = s.recv(4096)
# print(msg_from_server.decode('utf-8'))
filename = input(r'Enter path of Image : ')
filesize = os.path.getsize(filename)
s.send... | dzakw/client-sock | tes_client_sock_python.py | tes_client_sock_python.py | py | 962 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "socket.socket",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "socket.SOCK_STREAM",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "socket.gethost... |
26885641172 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('healers', '0012_auto_20141127_0720'),
]
operations = [
migrations.AlterModelOptions(
name='giftcertificate',
... | RumorIO/healersource | apps/healers/migrations/0013_auto_20141204_1737.py | 0013_auto_20141204_1737.py | py | 1,033 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.AlterModelOptions",
"line_number": 14,
"usage_type": "call"
... |
7564000547 | #!/usr/bin/env python
import matplotlib.pyplot as plt
import matplotlib.patches as patches
import numpy as np
path = np.loadtxt('path.txt')
# print (path[0])
smoothpath = np.loadtxt('smoothpath.txt')
# print (smoothpath.shape)
x_list = path[0].tolist()
y_list = path[1].tolist()
x_list_smoothed = smoothpath[0].toli... | Zhanghq8/Rapidly_Exploring_Random_Tree | display.py | display.py | py | 1,237 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "numpy.loadtxt",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot"... |
8648759187 | #!/usr/bin/env python
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from argparse import ArgumentParser, ArgumentDefaultsHelpFormatter
import tensorflow as tf
import tensorflow.contrib.slim as slim
from dataset_factory import get_split
def get_dataset(... | tue-robotics-graveyard/tensorflow_playground | retrain_slim.py | retrain_slim.py | py | 5,171 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "dataset_factory.get_split",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "tensorflow.variable_scope",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "tensorflow.contrib.slim.conv2d",
"line_number": 23,
"usage_type": "call"
},
{
... |
9129776918 | import re
from datetime import datetime
from ScrapeUFC.util import BaseParser, helpers
class FighterParser(BaseParser):
def __init__(self, db, response, fighter_id):
super().__init__(db, response)
self.fighter_id = fighter_id
self.base_url = self.domain + '/fighter-details'
self... | clueshh/ufcstats | ScrapeUFC/util/FighterParser.py | FighterParser.py | py | 3,071 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "ScrapeUFC.util.BaseParser",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "ScrapeUFC.util.helpers.split_name",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "ScrapeUFC.util.helpers",
"line_number": 17,
"usage_type": "name"
},
{
... |
32957974637 | # Donovan Moini
'''
The Pathfinder class is responsible for finding a solution (i.e., a
sequence of actions) that takes the agent from the initial state to all
of the goals with optimal cost.
This task is done in the solve method, as parameterized
by a maze pathfinding problem, and is aided by the SearchTreeNod... | dmoini/cmsi485-artificial-intelligence | homework-1/Pathfinder.py | Pathfinder.py | py | 5,395 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "queue.PriorityQueue",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "SearchTreeNode.SearchTreeNode",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "SearchTreeNode.SearchTreeNode",
"line_number": 43,
"usage_type": "call"
},
{
"a... |
5874451989 | import math
from numpy import NaN
import torch
import torch.nn.functional as F
from torch.autograd import Variable
import torch.distributions as TD
ONEOVERSQRT2PI = 1.0 / math.sqrt(2*math.pi)
T=0.1
device = 'cuda'
def l1(i,j,s):
non = torch.sum(torch.exp(s[i,:]/T))-torch.exp(s[i,i]/T)
return -torch.log(torch.... | jeongeun980906/Representation_Learning_R3 | core/loss.py | loss.py | py | 4,191 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "math.sqrt",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "math.pi",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "torch.sum",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "torch.exp",
"line_number": 13,
... |
71181528692 | from mysql.connector import Error
from mysql.connector import MySQLConnection
from configparser import ConfigParser
import os
class DbConnection:
__instance = None
@staticmethod
def get_instance():
""" Static access method. """
if DbConnection.__instance == None:
DbConnection()... | Ladrys/Database_app | src/db_connect.py | db_connect.py | py | 2,313 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpa... |
35897353686 | from itertools import permutations
import networkx as nx
from .matrix_graph import MatrixGraph
from graphmodels import DGM
class InvalidOperation(Exception):
pass
class LocalOperation:
def __init__(self, graph, fscore):
self.graph = graph
self.fscore = fscore
def do(self):
raise... | DLunin/pygraphmodels | graphmodels/structure/local_search.py | local_search.py | py | 4,358 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "networkx.DiGraph",
"line_number": 114,
"usage_type": "call"
},
{
"api_name": "matrix_graph.MatrixGraph.from_networkx_DiGraph",
"line_number": 116,
"usage_type": "call"
},
{
"api_name": "matrix_graph.MatrixGraph",
"line_number": 116,
"usage_type": "name"
}... |
32412628068 |
#!/usr/bin/env python3
#
# Author:
# Tamas Jos (@skelsec)
#
import enum
from urllib.parse import urlparse, parse_qs
from asysocks.common.clienturl import SocksClientURL
class MSLDAPProxyType(enum.Enum):
SOCKS4 = 'SOCKS4'
SOCKS4_SSL = 'SOCKS4_SSL'
SOCKS5 = 'SOCKS5'
SOCKS5_SSL = 'SOCKS5_SSL'
MULTIPLEXOR = 'MUL... | ryanmrestivo/red-team | Exploitation-Tools/CrackMapExec/site-packages/msldap/commons/proxy.py | proxy.py | py | 3,511 | python | en | code | 91 | github-code | 21 | [
{
"api_name": "enum.Enum",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "urllib.parse.urlparse",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "urllib.parse.parse_qs",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "asysocks.c... |
6170707151 | # -*- coding: utf-8 -*-
"""
Created on Tue Nov 14 10:07:02 2017
@author: RAVITHEJA
"""
import logging
from config import argument_config, mongo_config
from mongoDBConnection import initialize_mongo, insert_into_mongo
from ckanForMetadata import insert_into_ckan
def persistFinData(source, dataset_url, j... | ravithejaburugu/ravitest | sourcing/Quandl/FinDataPersist.py | FinDataPersist.py | py | 2,333 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "logging.basicConfig",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "config.argument_config.get",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "conf... |
4108286845 | import inspect
from lectarium_app import session, logger
from sqlalchemy_utils.aggregates import manager
from sqlalchemy import asc
from lectarium_app.models import User, Activity, ReceiptPosition, OrderPosition, Receipt, Order
def update_all_aggregated_fields():
"""
Updates all columns with @aggregated deco... | Tutturu204/Lect | master/lectarium_app/utils/update_aggregated.py | update_aggregated.py | py | 2,218 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "lectarium_app.models.ReceiptPosition",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "lectarium_app.models.Receipt",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "lectarium_app.models.OrderPosition",
"line_number": 14,
"usage_type": "... |
33897586083 | from typing import TYPE_CHECKING, Any, Dict, List, Type, TypeVar, Union
import attr
from ..types import UNSET, Unset
if TYPE_CHECKING:
from ..models.charge_component import ChargeComponent
T = TypeVar("T", bound="SAFETReimbursementItem")
@attr.s(auto_attribs=True)
class SAFETReimbursementItem:
r"""An ite... | milyord/sp-api | sp/finances_v0/models/safet_reimbursement_item.py | safet_reimbursement_item.py | py | 3,493 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "typing.TypeVar",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "typing.Union",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "types.Unset",
"li... |
34732387316 | from flask import Flask , render_template , request
from googletrans import Translator
app = Flask(__name__)
@app.route('/' , methods =["GET", "POST"])
def hello_world():
if request.method == "POST":
text = request.form.get("input")
src = request.form.get("option1")
dest = request.... | utkarshtrip281/translator_project | translator.py | translator.py | py | 700 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "flask.request.form.g... |
71657590774 | import functools
import config
from flask import (Flask, flash, g, redirect, render_template, request,
session, url_for)
from flask_misaka import Misaka
from flask_paginate import Pagination, get_page_parameter
import _sqlite3
app = Flask(__name__)
app.config.from_object('config.ProductionConfig')... | andmichalski/blog | app/app.py | app.py | py | 5,712 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask_misaka.Misaka",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask.g.db",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "flask.g",
"line_n... |
20226817783 | # 🍀 © @tofik_dn
# ⚠️ Do not remove credits
import requests
from userbot import CMD_HELP
from userbot import CMD_HANDLER as cmd
from userbot.utils import flicks_cmd
@flicks_cmd(pattern="vidwibu$")
async def _(event):
try:
response = requests.get(
"https://api-tede.herokuapp.com/api/asupan/wi... | farizjs/Flicks-Userbot | userbot/modules/video.py | video.py | py | 1,198 | python | en | code | 14 | github-code | 21 | [
{
"api_name": "requests.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "userbot.utils.flicks_cmd",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "userbot.utils.flic... |
35866085039 | import sys
from itertools import permutations as pm
input = sys.stdin.readline
a, b = map(str, input().split())
b = int(b)
pm_a = list(pm(a, len(a)))
def digit_length(n):
ans = 0
while n:
n //= 10
ans += 1
return ans
max_result = -1
for case in pm_a:
tmp = int("".join(case))
... | combiJihoon/AlgorithmStudy | week4/16943.py | 16943.py | py | 521 | python | ko | code | 0 | github-code | 21 | [
{
"api_name": "sys.stdin",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "itertools.permutations",
"line_number": 8,
"usage_type": "call"
}
] |
18408033463 | from collections import defaultdict
import subprocess
import logging
import psutil
import time
import threading
import platform
import os
import sys
import xml.etree.ElementTree as ET
def bytes2human(n):
"""
>>> bytes2human(10000)
'9.8 K/s'
>>> bytes2human(100001221)
'95.4 M/s'
"""
symbol... | alicevision/Meshroom | meshroom/core/stats.py | stats.py | py | 10,614 | python | en | code | 10,013 | github-code | 21 | [
{
"api_name": "collections.defaultdict",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "psutil.cpu_freq",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "psutil.virtual_memory",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "platfor... |
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