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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
72471929789 | # Imports
import discord, os, pymongo, math, time, random, asyncio
from colorama import Fore as C
from settings import *
from discord.ext import commands
# Connect to MongoDB
mongoClient = pymongo.MongoClient(os.environ.get('BOT_DB'))
db = mongoClient.get_database("refuge").get_collection("server-data")
db2 = mongoCli... | imvast/RefugeSRC | cogs/_Config.py | _Config.py | py | 936 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands.... |
39722854852 | import pygame
from config import *
class BaseField:
def __init__(self, img_path: str):
self._img_path = img_path
def get_img_path(self):
return self._img_path
def draw_field(self, screen: pygame.Surface, pos_x: int,
pos_y: int, is_centered: bool = False,
... | dominik24c/ai-tractor | app/base_field.py | base_field.py | py | 809 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pygame.Surface",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "pygame.image.load",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pygame.image",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "pygame.transf... |
13230831123 | # -*- coding: utf-8 -*-
"""
Class :class:`~.LW_model` provides common methods for ML proccess such as model
evaluation and feature/model selecting
Created on Wed Dec 11 18:39:56 2019
@author: Rogerluo
"""
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
import os
from functools import wrap... | rogerlwlw/lwmlearn-rogerluo | lwmlearn/lwmodel/lw_model_proxy.py | lw_model_proxy.py | py | 60,881 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "lwmlearn.lwlogging.init_log",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "lwmlearn.lwmodel.auto_list.get_default_models",
"line_number": 133,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 142,
"usage_type": "call"
},
... |
6636877120 | """
Instead of trying to construct a vector, we use Gaussians to create gradients that push our ships towards good stuff and away from bad stuff.
This bot uses five gaussians:
1) Dock unowned planet (Gu)
2) Dock friendly planet (Gf)
3) Enemy planet (Ge)
4) Enemy Ship (Ges)
5) Friendly ship (Gfs)
W... | rdubwiley09/halite_2 | Non-ML/vector_field_v2/reinforcement_bot/bot.py | bot.py | py | 8,747 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "hlt.Game",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": ... |
21555331913 | import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import dataset as data
import utils
X, y, tX, ty = data.get_data()
X = data.normalize(X)
tX = data.normalize(tX)
X = X[:15000]
tX = tX[:1000]
y = y[:15000]
ty = ty[:1000]
#region init w and b
k = 1e-2
w1 = np.random.uniform(-10, 10, (X.shape[1... | petnica-rac-seminari/stunning-calculator-2021 | server/ucenje.py | ucenje.py | py | 2,272 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "dataset.get_data",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "dataset.normalize",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "dataset.normalize",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.random.unif... |
649937797 | import numbers
import json
import numpy as np
from . import _z5py
from .attribute_manager import AttributeManager
from .shape_utils import normalize_slices, rectify_shape, get_default_chunks
AVAILABLE_COMPRESSORS = _z5py.get_available_codecs()
# TODO lz4 compression is currently not compatible with zarr
# COMPRESSOR... | constantinpape/z5 | src/python/module/z5py/dataset.py | dataset.py | py | 20,679 | python | en | code | 99 | github-code | 6 | [
{
"api_name": "numpy.dtype",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.dtype",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.dtype",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.dtype",
"line_number": ... |
7903759446 | # 백준 7562번 문제 - 나이트의 이동
from collections import deque
import sys
input = sys.stdin.readline
dx = [1,1,-1,-1,2,2,-2,-2]
dy = [2,-2,2,-2,1,-1,1,-1]
t = int(input())
def bfs(cur_x, cur_y):
queue = deque()
queue.append((cur_x, cur_y))
while queue:
x, y = queue.popleft()
if x == move_x and y == m... | wnstjd9701/CodingTest | 백준/category/너비우선탐색_BFS/나이트의이동.py | 나이트의이동.py | py | 826 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.stdin",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "collections.deque",
"line_number": 9,
"usage_type": "call"
}
] |
43078221034 | import logging
from threading import RLock
from typing import Any, Callable, Dict, List, Optional, Union, Iterable
import duckdb
import pyarrow as pa
from duckdb import DuckDBPyConnection
from fugue import ArrowDataFrame, NativeExecutionEngine
from fugue.collections.partition import (
EMPTY_PARTITION_SPEC,
Par... | ofili/Wrangle-and-Analyze-Data | venv/Lib/site-packages/fugue_duckdb/execution_engine.py | execution_engine.py | py | 17,048 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "fugue.execution.execution_engine.SQLEngine",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "fugue.execution.execution_engine.ExecutionEngine",
"line_number": 45,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 47,
"usage_type"... |
33152016132 | from django.contrib import admin
from rest_framework import routers
from django.urls import path
from vet.views import ListPersona, ListClientesFamilia, ListRelacionPersonasClientes, ListVacunas, \
ListPacientesMascotas, ListPesos, DetailPacientesMascotas, DetailVacunas, DetailPesos
router = routers.DefaultRouter(... | SILVIAHERNANDEZM03/veterinaria | vet/urls.py | urls.py | py | 855 | python | es | code | 0 | github-code | 6 | [
{
"api_name": "rest_framework.routers.DefaultRouter",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "rest_framework.routers",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.urls.path",
"line_number": 10,
"usage_type": "call"
},
{
"api_na... |
34555348707 | from strength_calculation.post_processing import two_calculations
import xlwt
book = xlwt.Workbook()
# создание листа с результатами первого расчета
sheet1 = book.add_sheet('Sheet 1')
sheet1.write(0, 0, 'i')
sheet1.write(0, 1, 'Радиус, мм')
sheet1.write(0, 2, 'sigma_r, МПа')
sheet1.write(0, 3, 'sigma_t, МПа... | las-palmas1/turbine_calculation | strength_calculation/excel_table.py | excel_table.py | py | 3,539 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "xlwt.Workbook",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "strength_calculation.post_processing.two_calculations.part_number",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "strength_calculation.post_processing.two_calculations",
"... |
21664868821 | from splinter import Browser
from bs4 import BeautifulSoup
import pandas as pd
import datetime as dt
def scripe_all():
browser = Browser('chrome', executable_path = 'chromedrivers', headless = True)
news_title, news_p = mars_news(browser)
results = {
'news_title': news_title,
'news_p'... | ejosephSr/web-scraping-challenge | scrape_mars.py | scrape_mars.py | py | 3,569 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "splinter.Browser",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "bs4.Beau... |
40699973204 | import sqlite3
from cryptography.fernet import Fernet
class ApiKeysDatabaseService:
def __init__(self, encryption_key: str, db_name: str = "api_keys.db"):
self._db_name = db_name
self._init_database()
self._fernet = Fernet(encryption_key)
def _init_database(self):
connection = ... | StasDzundza/SmartAIAssistantTelegramBot | DBService/db_service.py | db_service.py | py | 1,563 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cryptography.fernet.Fernet",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "sqlite3.con... |
73049425148 | # -*- coding: utf-8 -*-
"""
@author: Nicolas Verrier
"""
import time
import os
import matplotlib.pyplot as plt
from scipy.fftpack import fft2, ifft2, ifftshift
from scipy import signal
import numpy as np
import HoloProcessing as holo
import CorrectionAberration as CAber
import tifffile as tf
import manip
# Data folde... | madeba/MTD_transmission | Python_Tomo/Pretraitement.py | Pretraitement.py | py | 6,116 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "os.name",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "manip.Manip",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": ... |
70808004669 | import os
import cv2
import numpy as np
from tensorflow.keras.models import load_model
import matplotlib.pyplot as plt
test_dir = '/home/yash/Desktop/PyImageSearch/Fruit_classifier/data/test-multiple_fruits/'
data_path = '/home/yash/Desktop/PyImageSearch/Fruit_classifier/data/train/'
model = load_model('fruit_classif... | theartificialguy/Deep-Learning-Projects | Fruit Classifier/recognition.py | recognition.py | py | 1,192 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "tensorflow.keras.models.load_model",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_... |
38895233305 | #length of English alphabet is equal to 26
from collections import OrderedDict
#düzenlemeler yapıldı...
class HarfAnalizMuhendisi():
harfSozluguKucuk_count = {'a': 0, 'b': 0, 'c': 0, 'd': 0,
'e': 0, 'f': 0, 'g': 0, 'h': 0,
'i': 0, 'j': 0, 'k': 0, 'l'... | dataCalculus/stringAnalysisProject | harfAnalizi_2.py | harfAnalizi_2.py | py | 2,554 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.OrderedDict",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "collections.OrderedDict",
"line_number": 18,
"usage_type": "call"
}
] |
8372147743 | import logging
import os
import shutil
import tarfile
import tempfile
import traceback
from urllib.parse import urlparse
from github import Github
from builder.authentication.authenticate import session_client
from builder.authentication.ssm import fetch_credentials
module_logger = logging.getLogger('builder.retriev... | m1l0ai/m1l0_image_builder | builder/core/retriever.py | retriever.py | py | 3,155 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "urllib.parse.urlparse",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "os.path",
"l... |
36025312726 | import typing
class EnvState(object):
"""
This is the env state tuple, which will be stored in replay buffer
_in_game: whether it is in game
_state: env data
"""
def __init__(
self, _in_game: bool,
_state: typing.Any
):
self.in_game = _in_game
self... | ppaanngggg/DeepRL | DeepRL/Env/EnvState.py | EnvState.py | py | 551 | python | en | code | 29 | github-code | 6 | [
{
"api_name": "typing.Any",
"line_number": 14,
"usage_type": "attribute"
}
] |
12599582225 | # -*- coding: utf-8 -*-
"""
Created on Wed Jan 6 12:19:07 2016
@author: edouard.duchesnay@cea.fr
"""
from __future__ import print_function
import sys, os, argparse
doc_tag = "'''"
skip_tag = '## SKIP'
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument('input', help='Input pyth... | neurospin/pystatsml | bin/conv_python_to_rst.py | conv_python_to_rst.py | py | 1,642 | python | en | code | 61 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sys.stderr",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.EX_USAGE",
"l... |
477960763 | from configs import Config
from torch.utils.data import DataLoader
import torch as t
import fire
from Predictor.Utils import Vocab
import pickle as pk
from DataSets import DataSet, own_collate_fn
from Predictor.Utils.loss import masked_cross_entropy, mixed_loss, masked_cross_entropy2
from Predictor.Utils import batch_s... | CNDPlab/TextSummarization | main.py | main.py | py | 2,255 | python | en | code | 6 | github-code | 6 | [
{
"api_name": "configs.Config",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "Predictor.Utils.loss.masked_cross_entropy2",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "Predictor.Utils.batch_scorer",
"line_number": 21,
"usage_type": "name"
},
{... |
70725045308 | # Databricks notebook source
# MAGIC %md
# MAGIC ### Working with races.csv file
# COMMAND ----------
from delta.tables import *
# COMMAND ----------
# DBTITLE 1,Run the configuration notebook
# MAGIC %run "../0 - includes/configuration"
# COMMAND ----------
# DBTITLE 1,Run the functions notebook
# MAGIC %run ".... | diassmith/formula1-project | 03 - bronze - to - silver/clone/race - Silver clone.py | race - Silver clone.py | py | 2,240 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "pyspark.sql.functions.to_timestamp",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.functions.concat",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.functions.col",
"line_number": 44,
"usage_type": "call"
},
... |
38932167077 | # coding=utf-8
# This Source Code Form is subject to the terms of the Mozilla Public
# License, v. 2.0. If a copy of the MPL was not distributed with this
# file, You can obtain one at http://mozilla.org/MPL/2.0/.
from logging import getLogger
from os import close, kill, unlink
from os.path import abspath, isfile
from ... | jschwartzentruber/grizzly | grizzly/target/puppet_target.py | puppet_target.py | py | 10,789 | python | en | code | null | github-code | 6 | [
{
"api_name": "signal.SIGUSR1",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "logging.getLogger",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "target.Target",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "ffpuppet.FFPuppet",
... |
41099478556 | from django.urls import path
from . import views
from .views import (
JobsListView,
JobsDetailView,
JobsCreateView,
JobsUpdateView,
JobsDeleteView
)
from .models import Jobs
urlpatterns = [
path('', JobsListView.as_view(), name='employer-home'),
path('jobs/<int:pk>/', JobsDetailView.as_vi... | rasikasd/JobFair-New | employer/urls.py | urls.py | py | 634 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.urls.path",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "views.JobsListView.as_view",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "views.JobsListView",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "django... |
31933037251 | from pyspark.ml import Pipeline
from pyspark.ml.classification import LogisticRegression
from pyspark.ml.evaluation import BinaryClassificationEvaluator
from pyspark.ml.feature import HashingTF, Tokenizer
from pyspark.ml.tuning import CrossValidator, ParamGridBuilder
from pyspark.sql import SparkSession
spark = SparkS... | geoffreylink/Projects | 07 Machine Learning/SparkML/sparkML_TU_crossvalidator.py | sparkML_TU_crossvalidator.py | py | 2,318 | python | en | code | 9 | github-code | 6 | [
{
"api_name": "pyspark.sql.SparkSession.builder.getOrCreate",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.SparkSession.builder",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pyspark.sql.SparkSession",
"line_number": 8,
"usage_type... |
7910694341 |
import RPi.GPIO as GPIO
from flask import Flask, redirect, url_for, render_template, request, session
app = Flask(__name__)
GPIO.setmode(GPIO.BCM)
GPIO.setwarnings(False)
#define sensors GPIOs
button = 18
senPIR = 23
#define actuators GPIOs
outpin1 = 21
outpin2 = 20
outpin3 = 16
outpin4 = 26
#initi... | Dimitriou/raspberry-flask-server | flask_server_gpio.py | flask_server_gpio.py | py | 3,926 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "RPi.GPIO.setmode",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "RPi.GPIO",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "RPi.GPIO.BCM",
"line_number": ... |
4886892172 | import os
import time
import torch
import torch.nn as nn
import torch.optim as optim
from torch.utils.data import DataLoader
from MyDatasets1 import MyDataset
from net import Darknet53
from torch.utils.tensorboard import SummaryWriter
from tqdm import tqdm
# ' torch.argmax(output, dim=1)'
class Trainne... | RockingHorse-L/yolov3 | YOLOV3/TraiNet1.py | TraiNet1.py | py | 7,022 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "torch.device",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "net.Darknet53",
... |
73816749626 | """Ed is the standard text editor."""
from discord.ext.commands import Cog, Context, command
from arthur.bot import KingArthur
class Ed(Cog):
"""Ed is the standard text editor."""
def __init__(self, bot: KingArthur) -> None:
self.bot = bot
@command(name="ed", help="[-GVhs] [-p string] [file]")... | python-discord/king-arthur | arthur/exts/fun/ed.py | ed.py | py | 542 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "arthur.bot.KingArthur",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "discord.ext.commands.Context",
"line_number": 15,
"usage_type": "name"
},
{
"api_na... |
43449613130 | #!/usr/bin/env python3
import pymysql.cursors
connection = pymysql.connect(host='localhost',
user='root',
password='',
db='logs',
charset='utf8mb4',
cursorclass=pymysql.curs... | VadimAspirin/usml | back/report_generator.py | report_generator.py | py | 6,501 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pymysql.cursors.connect",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pymysql.cursors",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "pymysql.cursors.cursors",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "py... |
11538132372 | from sqlalchemy.orm import Session
from database.model.device import IconModel, LastWillModel, TypeDeviceModel, TypeSensorModel, SensorModel
from schema.device import TypeDeviceList, TypeSensorListSchema, SensorPostSchema
from schema.icon import IconSchema
from schema.last_will import LastWillSchema, LastWillListSchema... | andrequeiroz2/mantis | services/device_service/app/business/device.py | device.py | py | 4,629 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sqlalchemy.orm.Session",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "schema.last_will.LastWillSchema",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "database.model.device.LastWillModel",
"line_number": 16,
"usage_type": "call"
},... |
25442798861 | from tornado.web import RequestHandler
from lib.mpd_client import *
from web.server.constants import *
class ControlsEndpoint(RequestHandler):
def initialize(self, app):
self.app = app
def get(self, resource):
logger.debug("ControlsEndpoint::get %s", resource)
if resource == 'volume':
return self.finish(... | jwayneroth/mpd-touch | web/server/endpoints/controlsendpoint.py | controlsendpoint.py | py | 812 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "tornado.web.RequestHandler",
"line_number": 6,
"usage_type": "name"
}
] |
38254714720 | from django.shortcuts import render, reverse
from django.urls import reverse
from hknweb.utils import login_and_permission
from hknweb.candidate.models import OffChallenge
@login_and_permission("candidate.view_offchallenge")
def challenge_detail_view(request, pk):
"""Detail view of an officer challenge."""
... | Gabe-Mitnick/hknweb | hknweb/candidate/views/officer_challenge/detail.py | detail.py | py | 1,263 | python | en | code | null | github-code | 6 | [
{
"api_name": "hknweb.candidate.models.OffChallenge.objects.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "hknweb.candidate.models.OffChallenge.objects",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "hknweb.candidate.models.OffChallenge",
"li... |
19491214327 | import itertools
import operator
from functools import reduce
def det_4x4(matrix):
if len(matrix) != 4 or len(matrix[0]) != 4:
raise ValueError("A matriz não é 4x4")
indices = [0, 1, 2, 3]
det = 0
for permutacao in itertools.permutations(indices):
produto = 1
for ... | guib1/determinante4x4 | execução_determinantes.py | execução_determinantes.py | py | 1,065 | python | pt | code | 0 | github-code | 6 | [
{
"api_name": "itertools.permutations",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "functools.reduce",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "operator.mul",
"line_number": 28,
"usage_type": "attribute"
}
] |
1396428868 | from keras_squeezenet import SqueezeNet
from keras.preprocessing import image
from keras.layers import GlobalAveragePooling2D, Dense, Dropout, Activation, Conv2D
from keras.utils import plot_model
from keras.models import Model
from keras import optimizers
from keras.callbacks import TensorBoard,ModelCheckpoint
from k... | anjaliupadhyay18/BreastCancer-TransferLearning | legacy/squeezenet/SqueezeNet Keras.py | SqueezeNet Keras.py | py | 5,556 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.walk",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.walk",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "keras.preprocessing.image.ImageDataGenerator",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "keras.pr... |
7796912765 | import wx;
from ModusBox import ModusBox;
import PPLT;
import os;
import textwrap;
import string;
class SelectSlotDialog(wx.Dialog):
def __init__(self, parent, PPLTSys):
wx.Dialog.__init__(self, parent, -1, _("Select DeviceSlot"),size=(250,200));
self.__PPLTSys = PPLTSys;
... | BackupTheBerlios/pplt-svn | PPLT/PPLT/Center/AddSymbolDialog.py | AddSymbolDialog.py | py | 9,828 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "wx.Dialog",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "wx.Dialog.__init__",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "wx.Dialog",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "PPLT.Config",
"li... |
39434817718 | import numpy as np
import random
import json
from db import db
from datetime import datetime, date, time, timedelta
from trip import break_stop, trip
from CFA import CCells, CFA
from flight import flight_api
from hotel import hotel_api
class city_tour():
def __init__(self, country_code='TW', starting_city='KHH', s... | kevinreynold/mytripwander_CFA | app/backup/tripschedule_old.py | tripschedule_old.py | py | 12,331 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "db.db",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.random.uniform",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "db.db",
"line_number... |
23267395856 | import click
from cafebabel.auth import user_datastore
from cafebabel.core import app
from cafebabel.core.models import Role, User, UserProfile, UserRoles
from peewee import create_model_tables, drop_model_tables
def _initdb():
tables = [User, UserProfile, Role, UserRoles]
drop_model_tables(tables, fail_silen... | cafebabel/cafebabel.com.backup | cli.py | cli.py | py | 744 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cafebabel.core.models.User",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "cafebabel.core.models.UserProfile",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "cafebabel.core.models.Role",
"line_number": 9,
"usage_type": "name"
},
{
... |
26043193406 | from __future__ import annotations
import dataclasses
from abc import ABC, ABCMeta, abstractmethod
from dataclasses import dataclass
from typing import Callable, ClassVar, Iterable, Optional, Tuple, Type, Union
from pants.build_graph.build_file_aliases import BuildFileAliases
from pants.core.goals.generate_lockfiles ... | pantsbuild/pants | src/python/pants/jvm/target_types.py | target_types.py | py | 28,023 | python | en | code | 2,896 | github-code | 6 | [
{
"api_name": "pants.engine.target.Dependencies",
"line_number": 44,
"usage_type": "name"
},
{
"api_name": "pants.engine.target.StringField",
"line_number": 48,
"usage_type": "name"
},
{
"api_name": "pants.engine.target.AsyncFieldMixin",
"line_number": 48,
"usage_type": "... |
37547901144 | from. import settings
import requests
import logging
class RotateProxy(object):
#代理ip集合
proxy_list=[]
@classmethod
def init(cls):
cls.ip_proxy = settings.IP_PROXY_CONFIG
cls.proxy_url = cls.ip_proxy['URL'].format(num=cls.ip_proxy['FETCH_NUM'])
response = requests.get(cls.p... | liyanpro/crawler-out-restaruant | out_restaurant/rotateproxy.py | rotateproxy.py | py | 1,919 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "logging.warning",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 33,
"usage_type": "call"
}
] |
31148278215 | import pygame as py
import sys
from settings import *
from level import Level
#Class-Game----------------------------------------
class Game:
def __init__(self):
py.init()
self.screen = py.display.set_mode((SCREEN_WIDTH, SCREEN_HIEGHT))
self.clock = py.time.Clock()
self.level = Leve... | richfls/Stardew | main.py | main.py | py | 921 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pygame.init",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "pygame.time.Cl... |
38035697606 | #!/usr/bin/env python3
# Lab: Stored XSS into HTML context with nothing encoded
# Lab-Link: https://portswigger.net/web-security/cross-site-scripting/stored/lab-html-context-nothing-encoded
# Difficulty: APPRENTICE
from bs4 import BeautifulSoup
import requests
import sys
import urllib3
urllib3.disable_warnings(urllib3.... | frank-leitner/portswigger-websecurity-academy | 11_cross_site_scripting_XSS/Stored_XSS_into_HTML_context_with_nothing_encoded/script.py | script.py | py | 1,638 | python | en | code | 159 | github-code | 6 | [
{
"api_name": "urllib3.disable_warnings",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "urllib3.exceptions",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sys.... |
45518548734 | import numpy as np
import matplotlib.pyplot as plt
# x1 = np.arange(0, 4)
# print(id(x1))
# x1 = np.arange(0, 4)
# print(id(x1))
# x2 = np.copy(x1)
# # print(id(x1))
# # print(id(x2))
l = []
for i in range(0, 1000):
l.append(np.random.rand())
# print(l)
plt.hist(l, color='r')
plt.show()
| CandyTt20/Demo | num_4.py | num_4.py | py | 292 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.random.rand",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.hist",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "matplotlib... |
15932314731 | import copy
import datetime
import pytest
import datetime
import json
import hydra_base as hb
import logging
log = logging.getLogger(__name__)
class TestNetwork:
"""
Test for network-based functionality
"""
def test_add_network_unknown_attribute(self, client, projectmaker):
project = pro... | hydraplatform/hydra-base | tests/test_network.py | test_network.py | py | 40,360 | python | en | code | 8 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "pytest... |
33542442657 | import asyncio
import datetime
import itertools
from typing import Dict, Optional, Set
import aiohttp
import pandas as pd
from loguru import logger
from nba_crawler import nba_teams, utils
async def get_nba_games(
session: aiohttp.ClientSession,
headers: dict,
start_day: datetime.datetime,
end_day: ... | markalansmith/nba_crawler | nba_crawler/endpoints.py | endpoints.py | py | 2,388 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "aiohttp.ClientSession",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name... |
39177314783 | # -*- coding: utf-8 -*-
"""
Created on Sun Mar 26 15:22:10 2023
@author: Adnane Sennoune
"""
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
class Node:
indice = -1 #indice est utilisée pour donner un index unique
... | AdnaneSen/TSP-ACO | TSP_Ant_colony.py | TSP_Ant_colony.py | py | 9,085 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "numpy.sqrt",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "numpy.random.default_rng",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 51,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
... |
34221048962 | from typing import Dict, List, Union
from tqdm import tqdm
from up42.auth import Auth
from up42.order import Order
from up42.asset import Asset
from up42.utils import get_logger
from up42.tools import Tools
logger = get_logger(__name__)
class Storage(Tools):
"""
The Storage class enables access to the UP42... | stasSajinDD/up42-py | up42/storage.py | storage.py | py | 3,293 | python | en | code | null | github-code | 6 | [
{
"api_name": "up42.utils.get_logger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "up42.tools.Tools",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "up42.auth.Auth",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "typing.List",
... |
70499451387 | import os
import sys
import AWSIoTPythonSDK
sys.path.insert(0, os.path.dirname(AWSIoTPythonSDK.__file__))
# Now the import statement should work
from AWSIoTPythonSDK.MQTTLib import AWSIoTMQTTClient
import sys
import logging
import time
import getopt
from random import uniform
# Custom MQTT message callback
def custom... | CountChu/AwsIotPythonTest | Code/AwsIotPythonTest.py | AwsIotPythonTest.py | py | 5,380 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "sys.path.insert",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
43578612075 | import numpy as np
import cv2
# cv2.VideoCapture.set(CV_CAP_PROP_FRAME_WIDTH = 512,CV_CAP_PROP_FRAME_HEIGHT =512)
cap_left = cv2.VideoCapture(2)
cap_right = cv2.VideoCapture(1)
ret = cap_right.set(3,512)
ret = cap_right.set(4,512)
ret = cap_left.set(3,512)
ret = cap_left.set(4,512)
stereo = cv2.StereoBM_create(numD... | sanjanprakash/Stereovision-and-Object-Detection | src/image_capturing/test_cameras.py | test_cameras.py | py | 1,064 | python | en | code | 12 | github-code | 6 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.StereoBM_create",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
... |
40319706667 | from ansible.module_utils.basic import AnsibleModule
from ansible_collections.ansibleguy.opnsense.plugins.module_utils.base.handler import \
module_dependency_error, MODULE_EXCEPTIONS
try:
from ansible_collections.ansibleguy.opnsense.plugins.module_utils.helper.utils import profiler
from ansible_collectio... | ansibleguy/collection_opnsense | plugins/modules/shaper_queue.py | shaper_queue.py | py | 2,988 | python | en | code | 158 | github-code | 6 | [
{
"api_name": "ansible_collections.ansibleguy.opnsense.plugins.module_utils.base.handler.MODULE_EXCEPTIONS",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "ansible_collections.ansibleguy.opnsense.plugins.module_utils.base.handler.module_dependency_error",
"line_number": 14,
"u... |
22117523194 | import rospy
from MyStatics.RealTimePlotter import RealTimePlotter
from sensor_msgs.msg import Imu
import matplotlib
matplotlib.use('TkAgg')
import matplotlib.pyplot as plt
class IMUPlotter(RealTimePlotter):
def __init__(self, threshold = 1000, pace = 200):
self.data_ = []
self.step_ = []
p... | jcmayoral/collision_detector_observers | collision_observers/imu/fake_imu/src/fake_imu/IMUPlotter.py | IMUPlotter.py | py | 804 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.use",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "MyStatics.RealTimePlotter.RealTimePlotter",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "rospy.init_node",
"line_number": 14,
"usage_type": "call"
},
{
"api_name":... |
27539196625 | from fastapi import APIRouter, Depends
from ..controllers.auth import login_required
from ..controllers.task import create, delete, list_, search, update
from .models.task import CreateRequest, CreateResponse, ListResponse, SearchResponse, UpdateRequest, UpdateResponse
router = APIRouter()
@router.get('/{id_list}/t... | senavs/todo-list | backend/api/routes/task.py | task.py | py | 1,772 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "fastapi.APIRouter",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "fastapi.Depends",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "controllers.auth.login_required",
"line_number": 11,
"usage_type": "argument"
},
{
"api_name": "... |
13080212528 | #********************Author: Somnath Das***********************
#********Please ensure awscli is configured properly***********
import boto3
#import logging
from botocore.exceptions import ClientError
from colorama import Fore, Back, Style
s3_client = boto3.client('s3')
#Delete an item from your bucket...
def delete... | sdas92/aws | s3/pythonPractice/s3ObjectDelete.py | s3ObjectDelete.py | py | 737 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "boto3.client",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "botocore.exceptions.ClientError",
"line_number": 25,
"usage_type": "name"
}
] |
17551132478 | """
URL configuration for testProject project.
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/4.2/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='... | ColtenreQ/liquortory | testProject/urls.py | urls.py | py | 1,322 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.urls.path",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin.site",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "... |
38237869936 | import argparse
import numpy as np
import csv
def logistic(z):
return 1 / (1 + np.exp(-z))
def save(outfile, X, y):
data = np.hstack([y.reshape(y.size, -1), X])
with open(outfile, "w") as f:
writer = csv.writer(f, delimiter=' ')
for row in data:
writer.writerow(row)
def genera... | PKUFlyingPig/Hadoop_vs_Spark | generate_dataset.py | generate_dataset.py | py | 1,250 | python | en | code | 10 | github-code | 6 | [
{
"api_name": "numpy.exp",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.hstack",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "csv.writer",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.random.seed",
"line_number"... |
14495747134 | import pickle
from glob import glob
import streamlit as st
from pointnet.app import sample_dataset
from pointnet.dataset import get_dataset, download_dataset
def run_app(classes, train_tfrecords, test_tfrecords):
train_dataset = get_dataset(train_tfrecords, buffer_size=2048, batch_size=1, augment=False)
test_... | lattice-ai/pointnet | run_app.py | run_app.py | py | 1,001 | python | en | code | 6 | github-code | 6 | [
{
"api_name": "pointnet.dataset.get_dataset",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pointnet.dataset.get_dataset",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "streamlit.markdown",
"line_number": 12,
"usage_type": "call"
},
{
"api_n... |
74606042748 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from lxml import etree
from collections import defaultdict, OrderedDict
class DaneTeryt():
def __init__(self, plik):
self.doc = etree.parse(plik)
def element(self, nazwa):
elementy = self.doc.xpath("/teryt/catalog/row/col[@name='%s']" % nazwa)
... | jakubplata/TERYTorium | app/teryt.py | teryt.py | py | 1,686 | python | pl | code | 0 | github-code | 6 | [
{
"api_name": "lxml.etree.parse",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "lxml.etree",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "collections.defaultdict",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "collections.default... |
8259689492 | import logging
from django.test import TestCase, Client
from django.core.urlresolvers import reverse
from api.models import Item
class ScrapeFromLodestoneTestCase(TestCase):
def setUp(self):
self.client = Client()
self.lodestone_id = 'd19447e548d'
self.response = self.client.post(revers... | sam-myers/loadstone_legacy | api/tests/test_scrape_lodestone_item.py | test_scrape_lodestone_item.py | py | 2,361 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.test.TestCase",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.test.Client",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.core.urlresolvers.reverse",
"line_number": 14,
"usage_type": "call"
},
{
"api_name"... |
2063807107 | import datetime
from DataBase.DB import Search
from typing import Dict
def history(user_id: int) -> str:
"""
Функция запрашивает из базы данных список последних 10 строк,
поиск осуществляется по user_id
:param user_id: (int) айди пользователя
:return: str смоделированную строку с информацией о зап... | Taiven396/tickets_bot | DataBase/Tickets_DB.py | Tickets_DB.py | py | 3,433 | python | ru | code | 0 | github-code | 6 | [
{
"api_name": "DataBase.DB.Search.select",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "DataBase.DB.Search",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "DataBase.DB.Search.user_id",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_... |
23019695345 | import argparse
import numpy as np
import py_cliff_environment
import blocking_maze_environment
import q_agents
import model
import learnable_model
import gymnasium as gym
ap = argparse.ArgumentParser(description="Finite MDP Trainer")
ap.add_argument("--agent")
ap.add_argument("--env", default="PyCliffWalking")
ap.ad... | jfrancis71/PyGenBrix | finite_mdp/train.py | train.py | py | 3,336 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "gymnasium.spaces.Discrete",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "gymnasium.spaces",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_name"... |
23882730734 | import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from scipy.optimize import minimize
# Definiowanie funkcji celu
def func(x):
return 9 + x[0]**2 + x[1]**2
# Początkowe punkty sympleksu
initial_simplex = np.array([[6, 6], [8, 5], [8, 4]])
# Minimizacja funkcji celu z uż... | marchel99/studia_metody_numeryczne | metody_optymalizacja/optymalizacja.py | optymalizacja.py | py | 977 | python | pl | code | 0 | github-code | 6 | [
{
"api_name": "numpy.array",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "scipy.optimize.minimize",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
... |
23181711292 | from tika import parser
from PIL import Image
import pytesseract
import io
import re
from schwifty import BIC
def getTextFromImage(image):
text = pytesseract.image_to_string(image)
text = text.replace("\n", "").replace(" ", "").upper()
return text
def getTextFromPdf(file):
content = file.read... | vkhamesi/mpp-ocr | src/iban.py | iban.py | py | 2,595 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pytesseract.image_to_string",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "tika.parser.from_buffer",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "tika.parser",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "PIL.I... |
4939774881 | """threading is used since we need take input for sending
and listen on the recieving socket for the message and
these both need to be done simultaneously, hence
threading"""
import socket
from threading import Thread
from colorama import winterm
import sys
from msvcrt import getche, getch
#################... | luckylsk34/CLI-based-messenger | my_messenger server.py | my_messenger server.py | py | 3,365 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "colorama.winterm.WinTerm",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "colorama.winterm",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "socket.socket",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "socket.socket... |
5261410226 | import pandas as pd
import json
import os
from config.avss.config_avsbench_semantics import cfg as avss_cfg
root = avss_cfg.DATA.META_CSV_PATH
with open(avss_cfg.DATA.LABEL_IDX_PATH, 'r') as fr:
index_table = json.load(fr)
df = pd.read_csv(root, dtype=str)
df["a_obj"] = df["a_obj"].apply(lambda x: x.split("_"))
... | cyh-0/CAVP | dataset/avss/semi_sample.py | semi_sample.py | py | 1,113 | python | en | code | 86 | github-code | 6 | [
{
"api_name": "config.avss.config_avsbench_semantics.cfg.DATA",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "config.avss.config_avsbench_semantics.cfg",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "config.avss.config_avsbench_semantics.cfg.DATA",
... |
5446745727 | import numpy as np
import scipy
import scipy.integrate as integrate
import matplotlib
import matplotlib.pyplot as plt
def func(x, R):
d = np.sqrt(x**2)
if(d < R):
return 1.0
elif(d == R):
return 0.5
else:
return 0.0
def func2(x, R):
return x**3 + 2*(x**2)
def func3(x, R, f... | mcastrorib/bergman_periodic_solution | python/early/gauss_quad.py | gauss_quad.py | py | 2,223 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.sqrt",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.cos",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.polynomial.legendre.leggauss",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.polynomi... |
6691699364 | import logging
import aiogram.utils.markdown as md
from aiogram import Bot, Dispatcher, types
from aiogram.contrib.fsm_storage.memory import MemoryStorage
from aiogram.dispatcher import FSMContext
from aiogram.dispatcher.filters import Text
from aiogram.dispatcher.filters.state import State, StatesGroup
from aiogram.ty... | yusupovanton/invest_analytica | test.py | test.py | py | 7,412 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.basicConfig",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "aiogram.Bot",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "config.API_TOKEN",
... |
35995426759 | import asyncio
import threading
import time
from . import utils
class TaskPool(object):
def __init__(self, workers):
self._semaphore = asyncio.Semaphore(workers)
self._tasks = set()
self._closed = False
async def put(self, coro):
if self._closed:
raise Ru... | Prashant118/pypeln | pypeln/async_utils.py | async_utils.py | py | 4,448 | python | en | code | null | github-code | 6 | [
{
"api_name": "asyncio.Semaphore",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "asyncio.ensure_future",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "asyncio.gather",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "time.sleep",
... |
21710278672 | # -*- coding: utf-8 -*-
"""
Created on Tue Jul 13 20:22:58 2021
@author: kanza
"""
#https://amorphous.tf.chiba-u.jp/lecture.files/chem_computer/11_scipy%E3%81%AE%E5%9F%BA%E6%9C%AC%E3%81%A8%E5%BF%9C%E7%94%A8/11.html
import numpy as np
import matplotlib.pyplot as plt
from scipy.special import lpmv
# scipy.special.lpm... | poyokan/myFirstPythonStudying | ルジャンドル陪多項式.py | ルジャンドル陪多項式.py | py | 886 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.linspace",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "numpy.cos",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
... |
8480334048 | """Formulario del modelo Permission."""
# Forms
from crispy_forms.bootstrap import FormActions
from crispy_forms.helper import FormHelper
from crispy_forms.layout import Div, Fieldset, Layout, Reset, Submit
# Django
from django import forms
from django.db.models import Q
# Models
from sistemita.authorization.models ... | liqueed/sistemita2 | sistemita/authorization/forms/permissions.py | permissions.py | py | 2,248 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "crispy_forms.helper.FormHelper",
"line_number": 24,
"usage_type": "call"
},
{
"api_name"... |
21277210186 | import numpy as np
import pytest
from mindspore import Tensor, nn
from mindspore_rl.network.fully_connected_net import FullyConnectedLayers
class Net(nn.Cell):
"""
Ground truth network
"""
def __init__(self):
super().__init__()
self.fc1 = nn.Dense(10, 20, bias_init="zeros")
s... | mindspore-lab/mindrl | tests/st/test_fully_connected_layer.py | test_fully_connected_layer.py | py | 1,555 | python | en | code | 21 | github-code | 6 | [
{
"api_name": "mindspore.nn.Cell",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "mindspore.nn",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "mindspore.nn.Dense",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "mindspore.nn",
... |
38879268270 | import os
import sys
import time
from argparse import ArgumentParser
sys.path.append("./src")
from faceAverage import Averager
if __name__ == '__main__' :
start = time.time()
parser = ArgumentParser()
parser.add_argument('-i', '--input-dir', dest="input", help="Specify the input directory", type=str, req... | georgegach/face-average | run.py | run.py | py | 2,049 | python | en | code | 13 | 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": "time.time",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"... |
40262065416 | import django
django.setup()
from kafka_consumer.models import SettingsModel
import cv2
import os
from time import sleep
import six
from django.core.management.base import BaseCommand
from common.consumers import MessageConsumer
from common.messages import SlicerMessage, ImageMessage
from common.producers import Mess... | opendatalabcz/parking-spot-detection | backend/slicers/management/commands/slicer.py | slicer.py | py | 3,463 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "django.setup",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "common.consumers.MessageConsumer",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "common.topics.TOPIC_SLICE",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_n... |
20489884846 | """This module contains Ephemeris class.
"""
import math
import json
import pkg_resources
from astro_toolbox.angle.radians import AngleRad
from astro_toolbox.time.core import AstroDateTime
PATH = pkg_resources.resource_filename('astro_toolbox', 'coordinates/data/')
class Ephemeris():
"""Ephemeris class computing... | rloustalet/astro-toolbox | src/astro_toolbox/coordinates/solar_system.py | solar_system.py | py | 11,827 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pkg_resources.resource_filename",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "astro_toolbox.time.core.AstroDateTime",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 61,
"usage_type": "call"
},
{
"a... |
5894192258 | import torch
from torch import nn
from torch.nn import Conv2d, MaxPool2d, Flatten, Linear
class Tudui(nn.Module):
def __init__(self):
super(Tudui, self).__init__()
self.module = nn.Sequential(
Conv2d(in_channels=3, out_channels=32, kernel_size=5, stride=1, padding=2), # 根据官网公式计算 paddi... | TristanAlkaid/project | train/model.py | model.py | py | 994 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "torch.nn.Sequential",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_n... |
7821001603 | import numpy as np
import matplotlib.pyplot as plt
from skimage.transform import radon
from scipy.spatial.distance import cosine as distcosine
def genRadonProfile(M, A=4):
theta = np.linspace(0., 180., A, endpoint=False)
signal = radon(M, theta, circle=False)
result = signal.flatten('F')
return result... | echonesis/bcls-tk | compare/rtdist.py | rtdist.py | py | 663 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.linspace",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "skimage.transform.radon",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "scipy.spatial.distance.cosine",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "nu... |
9817204984 | from django.urls import path
from .views import home,about,add_stock,delete,delete_stock
urlpatterns = [
path('',home,name='home'),
path('about/',about,name='about'),
path('add_stock/',add_stock,name='add_stock'),
path('delete/<id>',delete,name='delete'),
path('delete_stock',delete_stock,name='delete_st... | swathirekha37/django_stock | quotes/urls.py | urls.py | py | 327 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.urls.path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "views.home",
"line_number": 5,
"usage_type": "argument"
},
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "views.about",
"line... |
10383624833 | import unittest
import torch
from executorch.backends.xnnpack.test.tester import Tester
class TestSigmoid(unittest.TestCase):
class Sigmoid(torch.nn.Module):
def __init__(self):
super().__init__()
self.sigmoid = torch.nn.Sigmoid()
def forward(self, x):
z = sel... | pytorch/executorch | backends/xnnpack/test/ops/sigmoid.py | sigmoid.py | py | 984 | python | en | code | 479 | github-code | 6 | [
{
"api_name": "unittest.TestCase",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Sigmoid",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"l... |
12680451696 | import os
import time
import warnings
import numpy as np
import torch
import torch.nn as nn
from torch import optim
from tqdm import tqdm
from data_provider.data_factory import data_provider
from exp.exp_basic import Exp_Basic
from models import Crossformer, TimesNet, Reformer, Informer, Autoformer, FEDformer, NLinea... | ForestsKing/TSF-Library | exp/exp_main.py | exp_main.py | py | 7,316 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "exp.exp_basic.Exp_Basic",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "models.Reformer",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "model... |
33724636363 | from dataclasses import dataclass
from itertools import groupby,chain
import inspect
import openpyxl
from openpyxl.styles import NamedStyle, PatternFill, Font, Alignment
from openpyxl.utils import get_column_letter
from datetime import datetime
from calendar import monthrange
from dateutil.relativedelta import relati... | QuoNaro/ruobr-student | ruobr_student/excel.py | excel.py | py | 7,977 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "datetime.datetime",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "dataclasses.dataclass",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "itertools.chain",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "datetime.date... |
30028307432 | from flask import Flask
import requests
import json
from time import sleep
from threading import Thread
from datetime import datetime
app = Flask(__name__)
ru_rating = 0
world_rating = 0
pts = 0
def update():
global ru_rating, world_rating, pts
while True:
data = json.loads(requests.get('https://ctf... | icYFTL/Caerme | backend/server.py | server.py | py | 1,067 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_... |
20281657257 | import cv2 # opencv3
import glob # to get lists of matching files
import numpy as np
from PIL import Image
from io import BytesIO
def fancy_pca(img, alpha_std=100):
'''
take in an image and does PCA to augment the colors while maintaing the structure of
the image.
This is 'Fancy PCA' from:
... | pixelatedbrian/fortnight-furniture | notebooks/image_aug.py | image_aug.py | py | 10,782 | python | en | code | 10 | github-code | 6 | [
{
"api_name": "numpy.mean",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "numpy.cov",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "numpy.linalg.eigh",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "numpy.linalg",
"line_numbe... |
30366878831 | from enable.api import Component
from enable.kiva_graphics_context import GraphicsContext
from traits.api import Bool, Instance, observe, Str
DEFAULT_DRAWING_ORDER = [
"background",
"image",
"underlay",
"plot",
"selection",
"border",
"annotation",
"overlay",
]
class PlotComponent(Com... | enthought/chaco | chaco/plot_component.py | plot_component.py | py | 2,548 | python | en | code | 286 | github-code | 6 | [
{
"api_name": "enable.api.Component",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "traits.api.Instance",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "traits.api.Str",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "traits.api.ob... |
24986518441 | from contextlib import contextmanager
from typing import Generator, List, Optional, cast
from fbmeshd import MeshService
from fbmeshd.ttypes import MpathEntry, PeerMetrics, StatCounter
from thrift.protocol import TBinaryProtocol
from thrift.transport import TSocket, TTransport
MESH_SERVICE_HOST = "localhost"
MESH_SE... | facebookarchive/fbmeshd | fbmeshd/linkstatsd/meshquery.py | meshquery.py | py | 3,654 | python | en | code | 30 | github-code | 6 | [
{
"api_name": "thrift.transport.TSocket.TSocket",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "thrift.transport.TSocket",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "thrift.transport.TTransport.TBufferedTransport",
"line_number": 24,
"usage_type... |
17298495747 | from flask import request
from functools import wraps
import requests
from setup_movie_library import *
ACCESS = {
'user': 1,
'admin': 2
}
def requires_access_level(access_level):
def decorator(f):
@wraps(f)
def decorated_function(*args, **kwargs):
if 'Authorization' in reque... | benyanko/MoviezAPI | MovieLibraryMicroservice/movie_library_security.py | movie_library_security.py | py | 1,050 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "flask.request.headers",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "flask.request.headers",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "f... |
24994244046 | import csv
import sys
from time import sleep
import serial
def format(rpm, analog_a, analog_b, digital, energy, gyro_x, gyro_y, gyro_z):
return 'RM{: <5}A{:.1f}B{:.1f}{:s}\nE{: <6}{:<+3}{:<+3}{:<+3}\n'.format(
rpm, analog_a, analog_b, digital, energy, gyro_x, gyro_y, gyro_z)
port = serial.Serial(port=... | ztwilliams197/EVEI-Backup | simulate_serial.py | simulate_serial.py | py | 1,177 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "serial.Serial",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "serial.PARITY_NONE",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "serial.STOPBITS_ONE",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "serial... |
34859159998 | from kafka import KafkaConsumer
TOPIC_NAME = "first-topic"
KAFKA_BOOTSTRAP_SERVER = "localhost:9092"
def kafka_consume_msgs():
print("kafka consumer initializing")
consumer = KafkaConsumer(TOPIC_NAME,
bootstrap_servers=KAFKA_BOOTSTRAP_SERVER,
auto_offs... | zaka-ai/data-engineer-track | Big_data_streaming_and_automation/kafka_hands_on/kafka_programmatically/kafka_consumer.py | kafka_consumer.py | py | 810 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "kafka.KafkaConsumer",
"line_number": 10,
"usage_type": "call"
}
] |
30356438941 | from traits.api import Button, Code, HasPrivateTraits, observe, Str
from traitsui.api import Group, Handler, Item, View
from traitsui.key_bindings import KeyBinding, KeyBindings
key_bindings = KeyBindings(
KeyBinding(
binding1='Ctrl-s',
description='Save to a file',
method_name='save_file',... | enthought/traitsui | docs/source/traitsui_user_manual/examples/key_bindings.py | key_bindings.py | py | 1,529 | python | en | code | 290 | github-code | 6 | [
{
"api_name": "traitsui.key_bindings.KeyBindings",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "traitsui.key_bindings.KeyBinding",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "traitsui.key_bindings.KeyBinding",
"line_number": 11,
"usage_type": "cal... |
32725470828 | """ Import the basic requirements package """
import time
import math
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from sklearn.datasets import load_digits
""" Dataset export function """
def read_csv():
X, y = load_digits(return_X_y=True)
print(X.shape) # Print ... | worldlanguage/nlp.github.io | pca.py | pca.py | py | 2,159 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "sklearn.datasets.load_digits",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pandas.Series",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pandas.DataFr... |
33089793669 | from PyPDF2 import PdfFileWriter, PdfFileReader
import os
import sys
inputpdf = PdfFileReader(open(sys.argv[1], "rb"))
OUT = sys.argv[2]
ranges = []
pages = []
num = "intro"
COUNTER = 1
for i in range(inputpdf.numPages):
output = PdfFileWriter()
print(i)
content = inputpdf.getPage(i).extractText() + "\n"
... | Jacarte/KTH-Licentiate-Thesis | build_images/split_document.py | split_document.py | py | 819 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "PyPDF2.PdfFileReader",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "PyPDF2.PdfFileWriter",
... |
10381093540 | import argparse
from pathlib import Path
import torch
import torch.nn as nn
import torch.nn.functional as F
import mmcls
from mmcls.apis import init_model
'''
A PyTorch implementation of : `RMNet: Equivalently Removing Residual Connection from Networks <https://arxiv.org/abs/2111.00687>`_
'''
def RMOperation(block):... | fxmeng/mmclassification | tools/convert_models/resnet2rmnet.py | resnet2rmnet.py | py | 4,185 | python | en | code | null | github-code | 6 | [
{
"api_name": "torch.nn.utils.fuse_conv_bn_eval",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.nn.utils",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "torch.n... |
16172216894 | import torch
import torchvision
import numpy as np
import sys
sys.path.append("..") # 为了导入上层目录的d2lzh_pytorch
import d2lzh_pytorch as d2l
batch_size = 256
train_iter, test_iter = d2l.load_data_fashion_mnist(batch_size)
num_inputs = 784
num_outputs = 10
W = torch.tensor(np.random.normal(0, 0.01, (num_inputs, num_output... | kang9kang/DL-learning | torch-learning/DL-basics/softmaxTest.py | softmaxTest.py | py | 1,605 | 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": "d2lzh_pytorch.load_data_fashion_mnist",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torc... |
26818107094 | import RPi.GPIO as GPIO
import time
import requests
#GPIO Mode (BOARD / BCM)
GPIO.setmode(GPIO.BCM)
#set GPIO Pins
GPIO_TRIGGER = 18
GPIO_ECHO = 24
#set GPIO direction (IN / OUT)
GPIO.setup(GPIO_TRIGGER, GPIO.OUT)
GPIO.setup(GPIO_ECHO, GPIO.IN)
def distance():
# set Trigger to HIGH
GPIO... | semba77/utrasonic | PSS/ultrasonic_distance.py | ultrasonic_distance.py | py | 1,684 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "RPi.GPIO.setmode",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "RPi.GPIO",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "RPi.GPIO.BCM",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "RPi.GPIO.setup",
"line_n... |
447934940 | import urllib2
import pprint
from bs4 import BeautifulSoup
import json
url=urllib2.urlopen("http://www.hmc.iitkgp.ac.in/web/boarders-list-ug/")
content=url.read()
soup=BeautifulSoup(content,"html.parser")
data=[]
table=soup.find_all('table',id="boarderUG")
target=open("write.txt","w")
for line in table:
for row ... | Vipul999ujawane/stud-search | req.py | req.py | py | 924 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "urllib2.urlopen",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pprint.PrettyPrinter",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "json.dumps",
... |
11319656017 | # from scrapy import log
from scrapy.spider import BaseSpider
from scrapy.selector import HtmlXPathSelector
from bird.items import BirdItem
from scrapy.http import Request
import time
# from scrapy import log
# from bird.pipelines import *
flag=7
ISOTIMEFORMAT='%Y-%m-%dT%X'
class BirdSpider(BaseSpider):
name ="bird.or... | wjbianjason/wsep | bird/bird/spiders/bird_spider.py | bird_spider.py | py | 4,735 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "scrapy.spider.BaseSpider",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "scrapy.selector.HtmlXPathSelector",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "scrapy.http.Request",
"line_number": 42,
"usage_type": "call"
},
{
"ap... |
73411157628 | from airflow.models import BaseOperator
from airflow.models import Variable
from hooks.db.oracle_helper import OracleHelper
class OracleGetResults(BaseOperator):
"""
It was necessary to split an operator from branchOperator
in an operator (this) and in another function (check_if_contains_data_in_oracle)
... | brunocampos01/data-paths | projects/data_lake/hadoop_airflow/data-pipeline/src/operators/oracle_get_results.py | oracle_get_results.py | py | 1,311 | python | en | code | 11 | github-code | 6 | [
{
"api_name": "airflow.models.BaseOperator",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "hooks.db.oracle_helper.OracleHelper",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "airflow.models.Variable.set",
"line_number": 35,
"usage_type": "call"
},... |
27341850157 |
import sqlite3
import json
from tqdm import tqdm
from dataclasses import dataclass
from typing import Optional, Union, List, Tuple
from morepython.os_utils import listdir
@dataclass
class Comment:
comment_id: str
video_id: str
text: str
likes: int
publish_date: str
update_date: str
# ... | xenova/commentblock | src/database.py | database.py | py | 7,721 | python | en | code | 23 | github-code | 6 | [
{
"api_name": "typing.Optional",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "dataclasses.dataclass",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "json.load",
... |
42417158913 | from kivy.app import App
from kivy.uix.button import Button
from kivy.uix.label import Label
from kivy.uix.textinput import TextInput
from kivy.uix.spinner import Spinner
from kivy.uix.gridlayout import GridLayout
from kivy.uix.floatlayout import FloatLayout
class MainScreen(GridLayout):
def __init__(self, **kwarg... | fedosovmu/AndroidApp | main.py | main.py | py | 1,068 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "kivy.uix.gridlayout.GridLayout",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "kivy.uix.spinner.Spinner",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "kivy.uix.button.Button",
"line_number": 19,
"usage_type": "call"
},
{
"api... |
21299354315 | #!/usr/bin/python
# -*- coding: utf-8 -*-
import sys
import urlparse
import xbmcgui
import xbmcplugin
import xbmcaddon
import xbmc
import xbmcvfs
import urllib, urllib2, socket, cookielib, re, os, shutil,json
import YDStreamExtractor
import xml.etree.ElementTree as ET
import ssl
try:
_create_unverified_https_co... | chris21779/repo | plugin.video.vodster/default.py | default.py | py | 10,041 | python | en | code | null | github-code | 6 | [
{
"api_name": "ssl._create_unverified_context",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "ssl._create_default_https_context",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 29,
"usage_type": "attribute"
},
... |
35002555834 | from django.http import HttpRequest, HttpResponse, HttpResponseForbidden
from rest_framework import generics, permissions, serializers, status
from rest_framework.request import Request
from rest_framework.response import Response
from oauth2_provider.contrib.rest_framework import TokenHasScope
from rest_framework impo... | yogavidya/Django-RESTserver-test | Oauth2_test/apis.py | apis.py | py | 6,956 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "rest_framework.request.Request",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "django.http.HttpResponseForbidden",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "rest_framework.response.Response",
"line_number": 41,
"usage_type": "cal... |
37504253138 | import cv2
import numpy as np
import math
from imutils.object_detection import non_max_suppression
def process_img(img):
resize = cv2.resize(img, None, fx=1.0, fy=1.0, interpolation=cv2.INTER_LINEAR)
gray = cv2.cvtColor(resize, cv2.COLOR_BGR2GRAY)
thresh = cv2.threshold(gray, 0, 255, cv2.THRESH_BINARY + c... | thanhtiem/python_something | image_processing.py | image_processing.py | py | 6,550 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.resize",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.INTER_LINEAR",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "cv2.cvtColor",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"... |
38033158362 | import logging
import os
import pandas as pd
from azure.kusto.data import KustoClient, KustoConnectionStringBuilder
from azure.kusto.data.helpers import dataframe_from_result_table
from azure.storage.blob import BlobServiceClient
import azure.functions as func
app = func.FunctionApp()
def main()->None:
AAD_TENANT... | ab00935243/scheduletimertrigger | __init__.py | __init__.py | py | 2,442 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "azure.functions.FunctionApp",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "azure.functions",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "os.environ",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.environ"... |
22930850030 |
from setuptools import setup, find_packages
import datetime as dt
package_nm = 'runtime_client'
__version__ = "0.1.1"
base_requires = [
"argparse >= 1.4.0",
# "kfserving>=0.5.1",
"dill >= 0.3.3",
"joblib",
"numpy",
"pandas",
"numba",
]
tests_require = [
'pytest',
'pytest-asyncio... | pydemia/kfserving-templates | packages/runtime_client/setup.py | setup.py | py | 1,332 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "datetime.datetime.now",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "setuptools.setup",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "setupto... |
43690134163 | from records import Records
import csv
class Builder:
__mid_temp: float
__precipitation: float
__station_id: str
__wind_force: int
__year: int
__month: int
__day: int
__rel_hum: float
__max_temp: float
__min_temp: float
def _clear(self):
self.__mid_temp = .0
... | Velnbur/CWRR | src/builder.py | builder.py | py | 2,476 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "records.Records",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "csv.reader",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "records.append_record",
"line_number": 50,
"usage_type": "call"
}
] |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.