#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# ----------------------------------------------------------------------------
# Copyright (c) 2025 Huawei Technologies Co., Ltd.
# This program is free software, you can redistribute it and/or modify it under the terms and conditions of
# CANN Open Software License Agreement Version 2.0 (the "License").
# Please refer to the License for details. You may not use this file except in compliance with the License.
# THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED,
# INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.
# See LICENSE in the root of the software repository for the full text of the License.
# ----------------------------------------------------------------------------
import torch
from atk.configs.dataset_config import InputDataset
from atk.configs.results_config import TaskResult
from atk.tasks.api_execute import register
from atk.tasks.api_execute.base_api import BaseApi
from atk.tasks.dataset.base_dataset import OpsDataset
import numpy as np


@register("function_aclnnRange")
class aclnnRangeExecutor(BaseApi):

    def __call__(self, input_data: InputDataset, with_output: bool = False):
        x_start = input_data.kwargs["start"]
        x_end = input_data.kwargs["end"]
        x_step = input_data.kwargs["step"]

        output = torch.range(x_start, x_end, x_step)
        return output

    def init_by_input_data(self, input_data: InputDataset):
        if input_data.kwargs["step"] == 0:
            input_data.kwargs["step"] = 1
        if (input_data.kwargs["end"]>=input_data.kwargs["start"]) != (input_data.kwargs["step"]>0):
            temp = input_data.kwargs["start"]
            input_data.kwargs["start"] = input_data.kwargs["end"]
            input_data.kwargs["end"] = temp
        return