/**
 * Copyright (c) 2025-2026 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.
 */
#include <array>
#include <vector>
#include "gtest/gtest.h"

#include "../../../op_api/aclnn_range.h"

#include "op_api_ut_common/op_api_ut.h"
#include "op_api_ut_common/scalar_desc.h"
#include "op_api_ut_common/tensor_desc.h"

using namespace std;

class l2_range_test : public testing::Test {
 protected:
  static void SetUpTestCase() { cout << "range_test SetUp" << endl; }

  static void TearDownTestCase() { cout << "range_test TearDown" << endl; }
};

TEST_F(l2_range_test, aclnnRange_0_to_10_step_1_float) {
  // start
  double startValue = 0.0;
  aclDataType startDtype = ACL_FLOAT;
  // end
  double endValue = 10.0;
  aclDataType endDtype = ACL_FLOAT;
  // step
  double stepValue = 1.0;
  aclDataType stepDtype = ACL_FLOAT;
  // output
  const vector<int64_t>& outShape = {10};
  aclDataType outDtype = ACL_FLOAT;
  aclFormat outFormat = ACL_FORMAT_ND;

  auto startDesc = ScalarDesc(startValue, startDtype);
  auto endDesc = ScalarDesc(endValue, endDtype);
  auto stepDesc = ScalarDesc(stepValue, stepDtype);
  auto outTensorDesc = TensorDesc(outShape, outDtype, outFormat).Precision(0.0001, 0.0001);

  auto ut = OP_API_UT(aclnnRange, INPUT(startDesc, endDesc, stepDesc), OUTPUT(outTensorDesc));
  uint64_t workspaceSize = 0;
  aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspaceSize);
  EXPECT_EQ(aclRet, ACL_SUCCESS);
}

TEST_F(l2_range_test, aclnnRange_0_to_100_step_5_int32) {
  // start
  int64_t startValue = 0;
  aclDataType startDtype = ACL_INT32;
  // end
  int64_t endValue = 100;
  aclDataType endDtype = ACL_INT32;
  // step
  int64_t stepValue = 5;
  aclDataType stepDtype = ACL_INT32;
  // output
  const vector<int64_t>& outShape = {20};
  aclDataType outDtype = ACL_INT32;
  aclFormat outFormat = ACL_FORMAT_ND;

  auto startDesc = ScalarDesc(startValue);
  auto endDesc = ScalarDesc(endValue);
  auto stepDesc = ScalarDesc(stepValue);
  auto outTensorDesc = TensorDesc(outShape, outDtype, outFormat).Precision(0, 0);

  auto ut = OP_API_UT(aclnnRange, INPUT(startDesc, endDesc, stepDesc), OUTPUT(outTensorDesc));
  uint64_t workspaceSize = 0;
  aclnnStatus aclRet = ut.TestGetWorkspaceSize(&workspaceSize);
  EXPECT_EQ(aclRet, ACL_SUCCESS);
}