"""
 Copyright (C) 2018-2020 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.
"""

import unittest

import numpy as np

from extensions.front.eltwise_n import EltwiseNReplacement
from mo.utils.ir_engine.compare_graphs import compare_graphs
from mo.utils.unittest.graph import build_graph

nodes_attributes = {
    'placeholder_1': {'shape': None, 'type': 'Parameter', 'kind': 'op', 'op': 'Parameter'},
    'placeholder_2': {'shape': None, 'type': 'Parameter', 'kind': 'op', 'op': 'Parameter'},
    'placeholder_3': {'shape': None, 'type': 'Parameter', 'kind': 'op', 'op': 'Parameter'},
    'placeholder_4': {'shape': None, 'type': 'Parameter', 'kind': 'op', 'op': 'Parameter'},
    # EltwiseN operations
    'EltwiseN_1': {'value': None, 'operation': None, 'type': None, 'kind': 'op', 'op': 'EltwiseN'},
    # Test operation
    'last': {'value': None, 'operation': None, 'type': 'Eltwise', 'kind': 'op', 'op': None},
    # Max operation
    'max_1': {'value': None, 'operation': None, 'type': 'Eltwise', 'kind': 'op'},
    # Mui operations
    'mul_1': {'value': None, 'operation': None, 'type': 'Eltwise', 'kind': 'op'},
    'mul_2': {'value': None, 'operation': None, 'type': 'Eltwise', 'kind': 'op'},
    # Add operations
    'add_1': {'value': None, 'operation': None, 'type': 'Eltwise', 'kind': 'op'},
    'add_2': {'value': None, 'operation': None, 'type': 'Eltwise', 'kind': 'op'},
    'add_3': {'value': None, 'operation': None, 'type': 'Eltwise', 'kind': 'op'},
}


class TestEltwiseNFrontReplacement(unittest.TestCase):
    def test_eltwiseN_test_1(self):
        # EltwiseN test with N = 2 from 2 placeholders and operation = max

        graph = build_graph(nodes_attributes,
                            [('placeholder_1', 'EltwiseN_1'),
                             ('placeholder_2', 'EltwiseN_1'),
                             ('EltwiseN_1', 'last')
                             ],
                            {'placeholder_1': {'shape': np.array([1, 227, 227, 3])},
                             'placeholder_2': {'shape': np.array([1, 227, 227, 3])},
                             'EltwiseN_1': {'operation': 'max'},
                             }, nodes_with_edges_only=True)

        graph_ref = build_graph(nodes_attributes,
                                [('placeholder_1', 'max_1'),
                                 ('placeholder_2', 'max_1'),
                                 ('max_1', 'last')
                                 ],
                                {'placeholder_1': {'shape': np.array([1, 227, 227, 3])},
                                 'placeholder_2': {'shape': np.array([1, 227, 227, 3])},
                                 'max_1': {'type': 'Maximum'}
                                 }, nodes_with_edges_only=True)

        graph.stage = 'front'

        replacer = EltwiseNReplacement()
        replacer.find_and_replace_pattern(graph)

        (flag, resp) = compare_graphs(graph, graph_ref, 'last', check_op_attrs=True)
        self.assertTrue(flag, resp)

    def test_eltwise_test_2(self):
        # EltwiseN test with N = 3 from 3 placeholders and operation = mul

        graph = build_graph(nodes_attributes,
                            [('placeholder_1', 'EltwiseN_1'),
                             ('placeholder_2', 'EltwiseN_1'),
                             ('placeholder_3', 'EltwiseN_1'),
                             ('EltwiseN_1', 'last')
                             ],
                            {'placeholder_1': {'shape': np.array([1, 227, 227, 3])},
                             'placeholder_2': {'shape': np.array([1, 227, 227, 3])},
                             'placeholder_3': {'shape': np.array([1, 227, 227, 3])},
                             'EltwiseN_1': {'operation': 'mul'},
                             }, nodes_with_edges_only=True)

        graph_ref = build_graph(nodes_attributes,
                                [('placeholder_1', 'mul_1'),
                                 ('placeholder_2', 'mul_1'),
                                 ('mul_1', 'mul_2'),
                                 ('placeholder_3', 'mul_2'),
                                 ('mul_2', 'last')
                                 ],
                                {'placeholder_1': {'shape': np.array([1, 227, 227, 3])},
                                 'placeholder_2': {'shape': np.array([1, 227, 227, 3])},
                                 'placeholder_3': {'shape': np.array([1, 227, 227, 3])},
                                 'mul_1': {'type': 'Multiply'},
                                 'mul_2': {'type': 'Multiply'},
                                 }, nodes_with_edges_only=True)

        graph.stage = 'front'

        replacer = EltwiseNReplacement()
        replacer.find_and_replace_pattern(graph)

        (flag, resp) = compare_graphs(graph, graph_ref, 'last', check_op_attrs=True)
        self.assertTrue(flag, resp)

    def test_eltwise_test_3(self):
        # EltwiseN test with N = 4 from 1 placeholder and operation = sum
        graph = build_graph(nodes_attributes,
                            [('placeholder_1', 'EltwiseN_1'),
                             ('placeholder_2', 'EltwiseN_1'),
                             ('placeholder_3', 'EltwiseN_1'),
                             ('placeholder_4', 'EltwiseN_1'),
                             ('EltwiseN_1', 'last')
                             ],
                            {'placeholder_1': {'shape': np.array([1, 227, 227, 3])},
                             'placeholder_2': {'shape': np.array([1, 227, 227, 3])},
                             'placeholder_3': {'shape': np.array([1, 227, 227, 3])},
                             'placeholder_4': {'shape': np.array([1, 227, 227, 3])},
                             'EltwiseN_1': {'operation': 'sum'},
                             }, nodes_with_edges_only=True)

        graph_ref = build_graph(nodes_attributes,
                                [('placeholder_1', 'add_1'),
                                 ('placeholder_2', 'add_1'),
                                 ('add_1', 'add_2'),
                                 ('placeholder_3', 'add_2'),
                                 ('add_2', 'add_3'),
                                 ('placeholder_4', 'add_3'),
                                 ('add_3', 'last')
                                 ],
                                {'placeholder_1': {'shape': np.array([1, 227, 227, 3])},
                                 'placeholder_2': {'shape': np.array([1, 227, 227, 3])},
                                 'placeholder_3': {'shape': np.array([1, 227, 227, 3])},
                                 'placeholder_4': {'shape': np.array([1, 227, 227, 3])},
                                 'add_1': {'type': 'Add'},
                                 'add_2': {'type': 'Add'},
                                 'add_3': {'type': 'Add'},
                                 }, nodes_with_edges_only=True)

        graph.stage = 'front'

        replacer = EltwiseNReplacement()
        replacer.find_and_replace_pattern(graph)

        (flag, resp) = compare_graphs(graph, graph_ref, 'last', check_op_attrs=True)
        self.assertTrue(flag, resp)

    def test_eltwise_test_4(self):
        # EltwiseN test with N = 4 from 1 placeholder and operation = sum
        graph = build_graph(nodes_attributes,
                            [('placeholder_1', 'EltwiseN_1'),
                             ('placeholder_1', 'EltwiseN_1'),
                             ('placeholder_1', 'EltwiseN_1'),
                             ('placeholder_1', 'EltwiseN_1'),
                             ('EltwiseN_1', 'last')
                             ],
                            {'placeholder_1': {'shape': np.array([1, 227, 227, 3])},
                             'EltwiseN_1': {'operation': 'sum'},
                             }, nodes_with_edges_only=True)

        graph_ref = build_graph(nodes_attributes,
                                [('placeholder_1', 'add_1'),
                                 ('placeholder_1', 'add_1'),
                                 ('add_1', 'add_2'),
                                 ('placeholder_1', 'add_2'),
                                 ('add_2', 'add_3'),
                                 ('placeholder_1', 'add_3'),
                                 ('add_3', 'last')
                                 ],
                                {'placeholder_1': {'shape': np.array([1, 227, 227, 3])},
                                 'add_1': {'type': 'Add'},
                                 'add_2': {'type': 'Add'},
                                 'add_3': {'type': 'Add'},
                                 }, nodes_with_edges_only=True)

        graph.stage = 'front'

        replacer = EltwiseNReplacement()
        replacer.find_and_replace_pattern(graph)

        (flag, resp) = compare_graphs(graph, graph_ref, 'last', check_op_attrs=True)
        self.assertTrue(flag, resp)
