"""
 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

from extensions.middle.TensorIteratorBackEdge import BackEdgesMatching
from mo.utils.ir_engine.compare_graphs import compare_graphs
from mo.utils.unittest.graph import build_graph_with_attrs


class BackEdgesMatchingTests(unittest.TestCase):
    def test_no_exit(self):
        pattern_matcher = BackEdgesMatching()
        pattern = pattern_matcher.pattern()
        graph = build_graph_with_attrs(nodes_with_attrs=pattern['nodes'], edges_with_attrs=pattern['edges'], update_edge_attrs=None,
                                       new_nodes_with_attrs=[('from_body_data', {'kind':'data'})],
                                       new_edges_with_attrs=[('from_body_data', 'NextIteration')])

        pattern_matcher.find_and_replace_pattern(graph)
        graph_ref = build_graph_with_attrs(nodes_with_attrs=[('condition', {'kind': 'op', 'op':'TensorIteratorCondition'}),
                                                      ('condition_data', {'kind': 'data'}),
                                                      ('back_edge', {'kind': 'op', 'op': 'TensorIteratorBackEdge'}),
                                                      ('enter_data', {'kind': 'data'}),
                                                      ('from_body_data', {'kind': 'data'}),
                                                      ('Identity_1_data', {'kind': 'data'}),],
                                    edges_with_attrs=[('condition', 'condition_data'),
                                           ('enter_data', 'back_edge', {'in': 0}),
                                           ('condition_data', 'back_edge', {'in': 2}),  # {in:2}
                                           ('from_body_data', 'back_edge', {'in': 1}),
                                           ('back_edge', 'Identity_1_data')],
                                    update_edge_attrs=None,
                                    new_nodes_with_attrs=[],
                                    new_edges_with_attrs=[],
                                )
        (flag, resp) = compare_graphs(graph, graph_ref, 'Identity_1_data', check_op_attrs=True)
        self.assertTrue(flag, resp)

    def test_with_exit(self):
        pattern_matcher = BackEdgesMatching()
        pattern = pattern_matcher.pattern()
        graph = build_graph_with_attrs(nodes_with_attrs=pattern['nodes'], edges_with_attrs=pattern['edges'], update_edge_attrs=None,
                                new_nodes_with_attrs=[('from_body_data', {'kind': 'data'}),
                                           ('exit', {'kind': 'op', 'op': 'Exit', 'name': 'exit'}),
                                           ('exit_data', {'kind': 'data'}),
                                           ('Switch_1_data_exit', {'kind': 'data'})],

                                new_edges_with_attrs=[('from_body_data', 'NextIteration'),
                                           ('Switch_1', 'Switch_1_data_exit', {'out': 0}),
                                           ('Switch_1_data_exit', 'exit', {'out': 0}),
                                           ('exit', 'exit_data')])

        pattern_matcher.find_and_replace_pattern(graph)
        graph_ref = build_graph_with_attrs(nodes_with_attrs=[('condition', {'kind': 'op', 'op':'TensorIteratorCondition'}),
                                                      ('condition_data', {'kind': 'data'}),
                                                      ('back_edge', {'kind': 'op', 'op': 'TensorIteratorBackEdge'}),
                                                      ('enter_data', {'kind': 'data'}),
                                                      ('from_body_data', {'kind': 'data'}),
                                                      ('Identity_1_data', {'kind': 'data'}),
                                                      ('output', {'kind':'op', 'op':'TensorIteratorOutput'}),
                                                      ('exit_data', {'kind': 'data'})
                                                        ],
                                            edges_with_attrs=[('condition', 'condition_data'),
                                                   ('enter_data', 'back_edge', {'in': 0}),
                                                   ('condition_data', 'back_edge', {'in': 2}),
                                                   ('from_body_data', 'back_edge', {'in': 1}),
                                                   ('back_edge', 'Identity_1_data'),
                                                   ('condition_data', 'output'),
                                                   ('output', 'exit_data'),
                                                   ('from_body_data', 'output')],
                                            update_edge_attrs=None,
                                            new_nodes_with_attrs=[],
                                            new_edges_with_attrs=[],
                                )
        (flag, resp) = compare_graphs(graph, graph_ref, 'Identity_1_data', check_op_attrs=True)
        self.assertTrue(flag, resp)
b522aeb2225dd377f5fdf856b331d3c9091d5a41
<mask token>


class BackEdgesMatchingTests(unittest.TestCase):
    <mask token>
    <mask token>

<mask token>


class BackEdgesMatchingTests(unittest.TestCase):
    <mask token>

    def test_with_exit(self):
        pattern_matcher = BackEdgesMatching()
        pattern = pattern_matcher.pattern()
        graph = build_graph_with_attrs(nodes_with_attrs=pattern['nodes'],
            edges_with_attrs=pattern['edges'], update_edge_attrs=None,
            new_nodes_with_attrs=[('from_body_data', {'kind': 'data'}), (
            'exit', {'kind': 'op', 'op': 'Exit', 'name': 'exit'}), (
            'exit_data', {'kind': 'data'}), ('Switch_1_data_exit', {'kind':
            'data'})], new_edges_with_attrs=[('from_body_data',
            'NextIteration'), ('Switch_1', 'Switch_1_data_exit', {'out': 0}
            ), ('Switch_1_data_exit', 'exit', {'out': 0}), ('exit',
            'exit_data')])
        pattern_matcher.find_and_replace_pattern(graph)
        graph_ref = build_graph_with_attrs(nodes_with_attrs=[('condition',
            {'kind': 'op', 'op': 'TensorIteratorCondition'}), (
            'condition_data', {'kind': 'data'}), ('back_edge', {'kind':
            'op', 'op': 'TensorIteratorBackEdge'}), ('enter_data', {'kind':
            'data'}), ('from_body_data', {'kind': 'data'}), (
            'Identity_1_data', {'kind': 'data'}), ('output', {'kind': 'op',
            'op': 'TensorIteratorOutput'}), ('exit_data', {'kind': 'data'})
            ], edges_with_attrs=[('condition', 'condition_data'), (
            'enter_data', 'back_edge', {'in': 0}), ('condition_data',
            'back_edge', {'in': 2}), ('from_body_data', 'back_edge', {'in':
            1}), ('back_edge', 'Identity_1_data'), ('condition_data',
            'output'), ('output', 'exit_data'), ('from_body_data', 'output'
            )], update_edge_attrs=None, new_nodes_with_attrs=[],
            new_edges_with_attrs=[])
        flag, resp = compare_graphs(graph, graph_ref, 'Identity_1_data',
            check_op_attrs=True)
        self.assertTrue(flag, resp)

<mask token>


class BackEdgesMatchingTests(unittest.TestCase):

    def test_no_exit(self):
        pattern_matcher = BackEdgesMatching()
        pattern = pattern_matcher.pattern()
        graph = build_graph_with_attrs(nodes_with_attrs=pattern['nodes'],
            edges_with_attrs=pattern['edges'], update_edge_attrs=None,
            new_nodes_with_attrs=[('from_body_data', {'kind': 'data'})],
            new_edges_with_attrs=[('from_body_data', 'NextIteration')])
        pattern_matcher.find_and_replace_pattern(graph)
        graph_ref = build_graph_with_attrs(nodes_with_attrs=[('condition',
            {'kind': 'op', 'op': 'TensorIteratorCondition'}), (
            'condition_data', {'kind': 'data'}), ('back_edge', {'kind':
            'op', 'op': 'TensorIteratorBackEdge'}), ('enter_data', {'kind':
            'data'}), ('from_body_data', {'kind': 'data'}), (
            'Identity_1_data', {'kind': 'data'})], edges_with_attrs=[(
            'condition', 'condition_data'), ('enter_data', 'back_edge', {
            'in': 0}), ('condition_data', 'back_edge', {'in': 2}), (
            'from_body_data', 'back_edge', {'in': 1}), ('back_edge',
            'Identity_1_data')], update_edge_attrs=None,
            new_nodes_with_attrs=[], new_edges_with_attrs=[])
        flag, resp = compare_graphs(graph, graph_ref, 'Identity_1_data',
            check_op_attrs=True)
        self.assertTrue(flag, resp)

    def test_with_exit(self):
        pattern_matcher = BackEdgesMatching()
        pattern = pattern_matcher.pattern()
        graph = build_graph_with_attrs(nodes_with_attrs=pattern['nodes'],
            edges_with_attrs=pattern['edges'], update_edge_attrs=None,
            new_nodes_with_attrs=[('from_body_data', {'kind': 'data'}), (
            'exit', {'kind': 'op', 'op': 'Exit', 'name': 'exit'}), (
            'exit_data', {'kind': 'data'}), ('Switch_1_data_exit', {'kind':
            'data'})], new_edges_with_attrs=[('from_body_data',
            'NextIteration'), ('Switch_1', 'Switch_1_data_exit', {'out': 0}
            ), ('Switch_1_data_exit', 'exit', {'out': 0}), ('exit',
            'exit_data')])
        pattern_matcher.find_and_replace_pattern(graph)
        graph_ref = build_graph_with_attrs(nodes_with_attrs=[('condition',
            {'kind': 'op', 'op': 'TensorIteratorCondition'}), (
            'condition_data', {'kind': 'data'}), ('back_edge', {'kind':
            'op', 'op': 'TensorIteratorBackEdge'}), ('enter_data', {'kind':
            'data'}), ('from_body_data', {'kind': 'data'}), (
            'Identity_1_data', {'kind': 'data'}), ('output', {'kind': 'op',
            'op': 'TensorIteratorOutput'}), ('exit_data', {'kind': 'data'})
            ], edges_with_attrs=[('condition', 'condition_data'), (
            'enter_data', 'back_edge', {'in': 0}), ('condition_data',
            'back_edge', {'in': 2}), ('from_body_data', 'back_edge', {'in':
            1}), ('back_edge', 'Identity_1_data'), ('condition_data',
            'output'), ('output', 'exit_data'), ('from_body_data', 'output'
            )], update_edge_attrs=None, new_nodes_with_attrs=[],
            new_edges_with_attrs=[])
        flag, resp = compare_graphs(graph, graph_ref, 'Identity_1_data',
            check_op_attrs=True)
        self.assertTrue(flag, resp)

<mask token>
import unittest
from extensions.middle.TensorIteratorBackEdge import BackEdgesMatching
from mo.utils.ir_engine.compare_graphs import compare_graphs
from mo.utils.unittest.graph import build_graph_with_attrs


class BackEdgesMatchingTests(unittest.TestCase):

    def test_no_exit(self):
        pattern_matcher = BackEdgesMatching()
        pattern = pattern_matcher.pattern()
        graph = build_graph_with_attrs(nodes_with_attrs=pattern['nodes'],
            edges_with_attrs=pattern['edges'], update_edge_attrs=None,
            new_nodes_with_attrs=[('from_body_data', {'kind': 'data'})],
            new_edges_with_attrs=[('from_body_data', 'NextIteration')])
        pattern_matcher.find_and_replace_pattern(graph)
        graph_ref = build_graph_with_attrs(nodes_with_attrs=[('condition',
            {'kind': 'op', 'op': 'TensorIteratorCondition'}), (
            'condition_data', {'kind': 'data'}), ('back_edge', {'kind':
            'op', 'op': 'TensorIteratorBackEdge'}), ('enter_data', {'kind':
            'data'}), ('from_body_data', {'kind': 'data'}), (
            'Identity_1_data', {'kind': 'data'})], edges_with_attrs=[(
            'condition', 'condition_data'), ('enter_data', 'back_edge', {
            'in': 0}), ('condition_data', 'back_edge', {'in': 2}), (
            'from_body_data', 'back_edge', {'in': 1}), ('back_edge',
            'Identity_1_data')], update_edge_attrs=None,
            new_nodes_with_attrs=[], new_edges_with_attrs=[])
        flag, resp = compare_graphs(graph, graph_ref, 'Identity_1_data',
            check_op_attrs=True)
        self.assertTrue(flag, resp)

    def test_with_exit(self):
        pattern_matcher = BackEdgesMatching()
        pattern = pattern_matcher.pattern()
        graph = build_graph_with_attrs(nodes_with_attrs=pattern['nodes'],
            edges_with_attrs=pattern['edges'], update_edge_attrs=None,
            new_nodes_with_attrs=[('from_body_data', {'kind': 'data'}), (
            'exit', {'kind': 'op', 'op': 'Exit', 'name': 'exit'}), (
            'exit_data', {'kind': 'data'}), ('Switch_1_data_exit', {'kind':
            'data'})], new_edges_with_attrs=[('from_body_data',
            'NextIteration'), ('Switch_1', 'Switch_1_data_exit', {'out': 0}
            ), ('Switch_1_data_exit', 'exit', {'out': 0}), ('exit',
            'exit_data')])
        pattern_matcher.find_and_replace_pattern(graph)
        graph_ref = build_graph_with_attrs(nodes_with_attrs=[('condition',
            {'kind': 'op', 'op': 'TensorIteratorCondition'}), (
            'condition_data', {'kind': 'data'}), ('back_edge', {'kind':
            'op', 'op': 'TensorIteratorBackEdge'}), ('enter_data', {'kind':
            'data'}), ('from_body_data', {'kind': 'data'}), (
            'Identity_1_data', {'kind': 'data'}), ('output', {'kind': 'op',
            'op': 'TensorIteratorOutput'}), ('exit_data', {'kind': 'data'})
            ], edges_with_attrs=[('condition', 'condition_data'), (
            'enter_data', 'back_edge', {'in': 0}), ('condition_data',
            'back_edge', {'in': 2}), ('from_body_data', 'back_edge', {'in':
            1}), ('back_edge', 'Identity_1_data'), ('condition_data',
            'output'), ('output', 'exit_data'), ('from_body_data', 'output'
            )], update_edge_attrs=None, new_nodes_with_attrs=[],
            new_edges_with_attrs=[])
        flag, resp = compare_graphs(graph, graph_ref, 'Identity_1_data',
            check_op_attrs=True)
        self.assertTrue(flag, resp)

"""
 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

from extensions.middle.TensorIteratorBackEdge import BackEdgesMatching
from mo.utils.ir_engine.compare_graphs import compare_graphs
from mo.utils.unittest.graph import build_graph_with_attrs


class BackEdgesMatchingTests(unittest.TestCase):
    def test_no_exit(self):
        pattern_matcher = BackEdgesMatching()
        pattern = pattern_matcher.pattern()
        graph = build_graph_with_attrs(nodes_with_attrs=pattern['nodes'], edges_with_attrs=pattern['edges'], update_edge_attrs=None,
                                       new_nodes_with_attrs=[('from_body_data', {'kind':'data'})],
                                       new_edges_with_attrs=[('from_body_data', 'NextIteration')])

        pattern_matcher.find_and_replace_pattern(graph)
        graph_ref = build_graph_with_attrs(nodes_with_attrs=[('condition', {'kind': 'op', 'op':'TensorIteratorCondition'}),
                                                      ('condition_data', {'kind': 'data'}),
                                                      ('back_edge', {'kind': 'op', 'op': 'TensorIteratorBackEdge'}),
                                                      ('enter_data', {'kind': 'data'}),
                                                      ('from_body_data', {'kind': 'data'}),
                                                      ('Identity_1_data', {'kind': 'data'}),],
                                    edges_with_attrs=[('condition', 'condition_data'),
                                           ('enter_data', 'back_edge', {'in': 0}),
                                           ('condition_data', 'back_edge', {'in': 2}),  # {in:2}
                                           ('from_body_data', 'back_edge', {'in': 1}),
                                           ('back_edge', 'Identity_1_data')],
                                    update_edge_attrs=None,
                                    new_nodes_with_attrs=[],
                                    new_edges_with_attrs=[],
                                )
        (flag, resp) = compare_graphs(graph, graph_ref, 'Identity_1_data', check_op_attrs=True)
        self.assertTrue(flag, resp)

    def test_with_exit(self):
        pattern_matcher = BackEdgesMatching()
        pattern = pattern_matcher.pattern()
        graph = build_graph_with_attrs(nodes_with_attrs=pattern['nodes'], edges_with_attrs=pattern['edges'], update_edge_attrs=None,
                                new_nodes_with_attrs=[('from_body_data', {'kind': 'data'}),
                                           ('exit', {'kind': 'op', 'op': 'Exit', 'name': 'exit'}),
                                           ('exit_data', {'kind': 'data'}),
                                           ('Switch_1_data_exit', {'kind': 'data'})],

                                new_edges_with_attrs=[('from_body_data', 'NextIteration'),
                                           ('Switch_1', 'Switch_1_data_exit', {'out': 0}),
                                           ('Switch_1_data_exit', 'exit', {'out': 0}),
                                           ('exit', 'exit_data')])

        pattern_matcher.find_and_replace_pattern(graph)
        graph_ref = build_graph_with_attrs(nodes_with_attrs=[('condition', {'kind': 'op', 'op':'TensorIteratorCondition'}),
                                                      ('condition_data', {'kind': 'data'}),
                                                      ('back_edge', {'kind': 'op', 'op': 'TensorIteratorBackEdge'}),
                                                      ('enter_data', {'kind': 'data'}),
                                                      ('from_body_data', {'kind': 'data'}),
                                                      ('Identity_1_data', {'kind': 'data'}),
                                                      ('output', {'kind':'op', 'op':'TensorIteratorOutput'}),
                                                      ('exit_data', {'kind': 'data'})
                                                        ],
                                            edges_with_attrs=[('condition', 'condition_data'),
                                                   ('enter_data', 'back_edge', {'in': 0}),
                                                   ('condition_data', 'back_edge', {'in': 2}),
                                                   ('from_body_data', 'back_edge', {'in': 1}),
                                                   ('back_edge', 'Identity_1_data'),
                                                   ('condition_data', 'output'),
                                                   ('output', 'exit_data'),
                                                   ('from_body_data', 'output')],
                                            update_edge_attrs=None,
                                            new_nodes_with_attrs=[],
                                            new_edges_with_attrs=[],
                                )
        (flag, resp) = compare_graphs(graph, graph_ref, 'Identity_1_data', check_op_attrs=True)
        self.assertTrue(flag, resp)