//*****************************************************************************
// Copyright 2017-2018 Intel Corporation
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
//     http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
//*****************************************************************************

#include <algorithm>
#include <cinttypes>
#include <cmath>
#include <cstdlib>
#include <random>
#include <string>

#include "gtest/gtest.h"
#include "ngraph/ngraph.hpp"
#include "util/all_close.hpp"
#include "util/all_close_f.hpp"
#include "util/ndarray.hpp"
#include "util/test_control.hpp"
#include "util/test_tools.hpp"

using namespace std;
using namespace ngraph;

static string s_manifest = "${MANIFEST}";

NGRAPH_TEST(${BACKEND_NAME}, one_hot_scalar_2_in_3)
{
    Shape shape_a{};
    auto A = make_shared<op::Parameter>(element::i32, shape_a);
    Shape shape_r{3};
    auto r = make_shared<op::OneHot>(A, Shape{3}, 0);
    auto f = make_shared<Function>(r, op::ParameterVector{A});

    auto backend = runtime::Backend::create("${BACKEND_NAME}");

    // Create some tensors for input/output
    auto a = backend->create_tensor(element::i32, shape_a);
    copy_data(a, vector<int32_t>{2});
    auto result = backend->create_tensor(element::i32, shape_r);

    backend->call_with_validate(f, {result}, {a});
    EXPECT_EQ((vector<int32_t>{0, 0, 1}), read_vector<int32_t>(result));
}

NGRAPH_TEST(${BACKEND_NAME}, one_hot_scalar_1_in_3)
{
    Shape shape_a{};
    auto A = make_shared<op::Parameter>(element::i32, shape_a);
    Shape shape_r{3};
    auto r = make_shared<op::OneHot>(A, Shape{3}, 0);
    auto f = make_shared<Function>(r, op::ParameterVector{A});

    auto backend = runtime::Backend::create("${BACKEND_NAME}");

    // Create some tensors for input/output
    auto a = backend->create_tensor(element::i32, shape_a);
    copy_data(a, vector<int32_t>{1});
    auto result = backend->create_tensor(element::i32, shape_r);

    backend->call_with_validate(f, {result}, {a});
    EXPECT_EQ((vector<int32_t>{0, 1, 0}), read_vector<int32_t>(result));
}

NGRAPH_TEST(${BACKEND_NAME}, one_hot_scalar_0_in_3)
{
    Shape shape_a{};
    auto A = make_shared<op::Parameter>(element::i32, shape_a);
    Shape shape_r{3};
    auto r = make_shared<op::OneHot>(A, Shape{3}, 0);
    auto f = make_shared<Function>(r, op::ParameterVector{A});

    auto backend = runtime::Backend::create("${BACKEND_NAME}");

    // Create some tensors for input/output
    auto a = backend->create_tensor(element::i32, shape_a);
    copy_data(a, vector<int32_t>{0});
    auto result = backend->create_tensor(element::i32, shape_r);

    backend->call_with_validate(f, {result}, {a});
    EXPECT_EQ((vector<int32_t>{1, 0, 0}), read_vector<int32_t>(result));
}

NGRAPH_TEST(${BACKEND_NAME}, one_hot_scalar_fp_nonint_in_3)
{
    Shape shape_a{};
    auto A = make_shared<op::Parameter>(element::f32, shape_a);
    Shape shape_r{3};
    auto r = make_shared<op::OneHot>(A, Shape{3}, 0);
    auto f = make_shared<Function>(r, op::ParameterVector{A});

    auto backend = runtime::Backend::create("${BACKEND_NAME}");

    // Create some tensors for input/output
    auto a = backend->create_tensor(element::f32, shape_a);
    copy_data(a, vector<float>{1.1f});
    auto result = backend->create_tensor(element::f32, shape_r);

    try
    {
        backend->call_with_validate(f, {result}, {a});
    }
    catch (const std::exception& e)
    {
        EXPECT_EQ(e.what(), std::string("One-hot: non-integral value in input"));
    }
    catch (...)
    {
        FAIL() << "Expected a std::out_of_range exception";
    }
}

NGRAPH_TEST(${BACKEND_NAME}, one_hot_scalar_oob_in_3)
{
    Shape shape_a{};
    auto A = make_shared<op::Parameter>(element::i32, shape_a);
    Shape shape_r{3};
    auto r = make_shared<op::OneHot>(A, Shape{3}, 0);
    auto f = make_shared<Function>(r, op::ParameterVector{A});

    auto backend = runtime::Backend::create("${BACKEND_NAME}");

    // Create some tensors for input/output
    auto a = backend->create_tensor(element::i32, shape_a);
    copy_data(a, vector<int32_t>{3000000});
    auto result = backend->create_tensor(element::i32, shape_r);

    try
    {
        backend->call_with_validate(f, {result}, {a});
    }
    catch (const std::exception& e)
    {
        EXPECT_EQ(e.what(), std::string("One-hot: value is out of category range"));
    }
    catch (...)
    {
        FAIL() << "Expected a std::out_of_range exception";
    }
}

NGRAPH_TEST(${BACKEND_NAME}, one_hot_vector_0)
{
    Shape shape_a{8};
    auto A = make_shared<op::Parameter>(element::i32, shape_a);
    Shape shape_r{3, 8};
    auto r = make_shared<op::OneHot>(A, Shape{3, 8}, 0);
    auto f = make_shared<Function>(r, op::ParameterVector{A});

    auto backend = runtime::Backend::create("${BACKEND_NAME}");

    // Create some tensors for input/output
    auto a = backend->create_tensor(element::i32, shape_a);
    copy_data(a, vector<int32_t>{2, 1, 0, 0, 2, 2, 1, 0});
    auto result = backend->create_tensor(element::i32, shape_r);

    backend->call_with_validate(f, {result}, {a});
    EXPECT_EQ(
        (vector<int32_t>{0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 0, 0}),
        read_vector<int32_t>(result));
}

NGRAPH_TEST(${BACKEND_NAME}, one_hot_vector_1)
{
    Shape shape_a{8};
    auto A = make_shared<op::Parameter>(element::i32, shape_a);
    Shape shape_r{8, 3};
    auto r = make_shared<op::OneHot>(A, Shape{8, 3}, 1);
    auto f = make_shared<Function>(r, op::ParameterVector{A});

    auto backend = runtime::Backend::create("${BACKEND_NAME}");

    // Create some tensors for input/output
    auto a = backend->create_tensor(element::i32, shape_a);
    copy_data(a, vector<int32_t>{2, 1, 0, 0, 2, 2, 1, 0});
    auto result = backend->create_tensor(element::i32, shape_r);

    backend->call_with_validate(f, {result}, {a});
    EXPECT_EQ(
        (vector<int32_t>{0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 0}),
        read_vector<int32_t>(result));
}

NGRAPH_TEST(${BACKEND_NAME}, one_hot_vector_1_barely_oob)
{
    Shape shape_a{8};
    auto A = make_shared<op::Parameter>(element::i32, shape_a);
    Shape shape_r{8, 3};
    auto r = make_shared<op::OneHot>(A, Shape{8, 3}, 1);
    auto f = make_shared<Function>(r, op::ParameterVector{A});

    auto backend = runtime::Backend::create("${BACKEND_NAME}");

    // Create some tensors for input/output
    auto a = backend->create_tensor(element::i32, shape_a);
    copy_data(a, vector<int32_t>{2, 1, 0, 0, 3, 2, 1, 0});
    auto result = backend->create_tensor(element::i32, shape_r);

    try
    {
        backend->call_with_validate(f, {result}, {a});
    }
    catch (const std::exception& e)
    {
        EXPECT_EQ(e.what(), std::string("One-hot: value is out of category range"));
    }
    catch (...)
    {
        FAIL() << "Expected a std::out_of_range exception";
    }
}

NGRAPH_TEST(${BACKEND_NAME}, one_hot_vector_1_far_oob)
{
    Shape shape_a{8};
    auto A = make_shared<op::Parameter>(element::i32, shape_a);
    Shape shape_r{8, 3};
    auto r = make_shared<op::OneHot>(A, Shape{8, 3}, 1);
    auto f = make_shared<Function>(r, op::ParameterVector{A});

    auto backend = runtime::Backend::create("${BACKEND_NAME}");

    // Create some tensors for input/output
    auto a = backend->create_tensor(element::i32, shape_a);
    copy_data(a, vector<int32_t>{2, 1, 0, 0, 3000000, 2, 1, 0});
    auto result = backend->create_tensor(element::i32, shape_r);

    try
    {
        backend->call_with_validate(f, {result}, {a});
    }
    catch (const std::exception& e)
    {
        EXPECT_EQ(e.what(), std::string("One-hot: value is out of category range"));
    }
    catch (...)
    {
        FAIL() << "Expected a std::out_of_range exception";
    }
}

NGRAPH_TEST(${BACKEND_NAME}, one_hot_matrix_0)
{
    Shape shape_a{3, 3};
    auto A = make_shared<op::Parameter>(element::i32, shape_a);
    Shape shape_r{3, 3, 3};
    auto r = make_shared<op::OneHot>(A, Shape{3, 3, 3}, 0);
    auto f = make_shared<Function>(r, op::ParameterVector{A});

    auto backend = runtime::Backend::create("${BACKEND_NAME}");

    // Create some tensors for input/output
    auto a = backend->create_tensor(element::i32, shape_a);
    copy_data(a,
              vector<int32_t>{
                  0, 1, 1, 2, 1, 0, 0, 2, 1,
              });
    auto result = backend->create_tensor(element::i32, shape_r);

    backend->call_with_validate(f, {result}, {a});
    EXPECT_EQ((vector<int32_t>{1, 0, 0, 0, 0, 1, 1, 0, 0,

                               0, 1, 1, 0, 1, 0, 0, 0, 1,

                               0, 0, 0, 1, 0, 0, 0, 1, 0}),
              read_vector<int32_t>(result));
}

NGRAPH_TEST(${BACKEND_NAME}, one_hot_vector_1_fp)
{
    Shape shape_a{8};
    auto A = make_shared<op::Parameter>(element::f32, shape_a);
    Shape shape_r{8, 3};
    auto r = make_shared<op::OneHot>(A, Shape{8, 3}, 1);
    auto f = make_shared<Function>(r, op::ParameterVector{A});

    auto backend = runtime::Backend::create("${BACKEND_NAME}");

    // Create some tensors for input/output
    auto a = backend->create_tensor(element::f32, shape_a);
    copy_data(a, vector<float>{2, 1, 0, 0, 2, 2, 1, 0});
    auto result = backend->create_tensor(element::f32, shape_r);

    backend->call_with_validate(f, {result}, {a});
    EXPECT_EQ(
        (vector<float>{0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 0}),
        read_vector<float>(result));
}

NGRAPH_TEST(${BACKEND_NAME}, one_hot_vector_1_fp_nonint)
{
    Shape shape_a{8};
    auto A = make_shared<op::Parameter>(element::f32, shape_a);
    Shape shape_r{8, 3};
    auto r = make_shared<op::OneHot>(A, Shape{8, 3}, 1);
    auto f = make_shared<Function>(r, op::ParameterVector{A});

    auto backend = runtime::Backend::create("${BACKEND_NAME}");

    // Create some tensors for input/output
    auto a = backend->create_tensor(element::f32, shape_a);
    copy_data(a, vector<float>{2, 1, 0, 0, 2, 2, 1.01f, 0});
    auto result = backend->create_tensor(element::f32, shape_r);

    try
    {
        backend->call_with_validate(f, {result}, {a});
    }
    catch (const std::exception& e)
    {
        EXPECT_EQ(e.what(), std::string("One-hot: non-integral value in input"));
    }
    catch (...)
    {
        FAIL() << "Expected a std::out_of_range exception";
    }
}
