# Copyright (c) 2023, NVIDIA CORPORATION. All rights reserved.
#
# 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.

'''Fake fairseq.* modules allowing to torch.load fairseq checkpoints.'''

import sys


class Dummy:
    pass


class FakeModule:
    def __init__(self, classes=["AverageMeter", "TimeMeter", "StopwatchMeter"]):
        [setattr(self, cls, Dummy) for cls in classes]


sys.modules["fairseq"] = Dummy()
sys.modules["fairseq.data"] = Dummy()
sys.modules["fairseq.data.dictionary"] = FakeModule(["Dictionary"])
sys.modules["fairseq.logging.meters"] = FakeModule()
sys.modules["fairseq.meters"] = FakeModule()
