# coding=utf-8
# Copyright 2020 Marian Team Authors and The HuggingFace Inc. team.
#
# 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
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"""PyTorch MarianMTModel model, ported from the Marian C++ repo."""


from transformers.modeling_bart import BartForConditionalGeneration


class MarianMTModel(BartForConditionalGeneration):
    r"""
    Pytorch version of marian-nmt's transformer.h (c++). Designed for the OPUS-NMT translation checkpoints.
    Model API is identical to BartForConditionalGeneration.
    Available models are listed at `Model List <https://huggingface.co/models?search=Helsinki-NLP>`__

    Examples::

        from transformers import MarianTokenizer, MarianMTModel
        from typing import List
        src = 'fr'  # source language
        trg = 'en'  # target language
        sample_text = "où est l'arrêt de bus ?"
        mname = f'Helsinki-NLP/opus-mt-{src}-{trg}'   # `Model List`__

        model = MarianMTModel.from_pretrained(mname)
        tok = MarianTokenizer.from_pretrained(mname)
        batch = tok.prepare_translation_batch(src_texts=[sample_text])  # don't need tgt_text for inference
        gen = model.generate(**batch)  # for forward pass: model(**batch)
        words: List[str] = tok.batch_decode(gen, skip_special_tokens=True)  # returns "Where is the the bus stop ?"

    """

    pretrained_model_archive_map = {}  # see https://huggingface.co/models?search=Helsinki-NLP

    def prepare_scores_for_generation(self, scores, cur_len, max_length):
        if cur_len == max_length - 1 and self.config.eos_token_id is not None:
            self._force_token_ids_generation(scores, self.config.eos_token_id)
        return scores
