# coding=utf-8
# Copyright 2020 The SqueezeBert 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
# limitations under the License.
"""Tokenization classes for SqueezeBERT."""

from .tokenization_bert_fast import BertTokenizerFast
from .tokenization_squeezebert import SqueezeBertTokenizer
from .utils import logging


logger = logging.get_logger(__name__)

VOCAB_FILES_NAMES = {"vocab_file": "vocab.txt", "tokenizer_file": "tokenizer.json"}

PRETRAINED_VOCAB_FILES_MAP = {
    "vocab_file": {
        "squeezebert/squeezebert-uncased": "https://s3.amazonaws.com/models.huggingface.co/bert/squeezebert/squeezebert-uncased/vocab.txt",
        "squeezebert/squeezebert-mnli": "https://s3.amazonaws.com/models.huggingface.co/bert/squeezebert/squeezebert-mnli/vocab.txt",
        "squeezebert/squeezebert-mnli-headless": "https://s3.amazonaws.com/models.huggingface.co/bert/squeezebert/squeezebert-mnli-headless/vocab.txt",
    },
    "tokenizer_file": {
        "squeezebert/squeezebert-uncased": "https://s3.amazonaws.com/models.huggingface.co/bert/squeezebert/squeezebert-uncased/tokenizer.json",
        "squeezebert/squeezebert-mnli": "https://s3.amazonaws.com/models.huggingface.co/bert/squeezebert/squeezebert-mnli/tokenizer.json",
        "squeezebert/squeezebert-mnli-headless": "https://s3.amazonaws.com/models.huggingface.co/bert/squeezebert/squeezebert-mnli-headless/tokenizer.json",
    },
}

PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES = {
    "squeezebert/squeezebert-uncased": 512,
    "squeezebert/squeezebert-mnli": 512,
    "squeezebert/squeezebert-mnli-headless": 512,
}


PRETRAINED_INIT_CONFIGURATION = {
    "squeezebert/squeezebert-uncased": {"do_lower_case": True},
    "squeezebert/squeezebert-mnli": {"do_lower_case": True},
    "squeezebert/squeezebert-mnli-headless": {"do_lower_case": True},
}


class SqueezeBertTokenizerFast(BertTokenizerFast):
    r"""
    Constructs a  "Fast" SqueezeBert tokenizer (backed by HuggingFace's `tokenizers` library).

    :class:`~transformers.SqueezeBertTokenizerFast` is identical to :class:`~transformers.BertTokenizerFast` and
    runs end-to-end tokenization: punctuation splitting + wordpiece.

    Refer to superclass :class:`~transformers.BertTokenizerFast` for usage examples and documentation concerning
    parameters.
    """

    vocab_files_names = VOCAB_FILES_NAMES
    pretrained_vocab_files_map = PRETRAINED_VOCAB_FILES_MAP
    max_model_input_sizes = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    pretrained_init_configuration = PRETRAINED_INIT_CONFIGURATION
    slow_tokenizer_class = SqueezeBertTokenizer
