





"""simple docstring"""


import json
from typing import List, Optional, Tuple

from tokenizers import pre_tokenizers, processors

from ...tokenization_utils_base import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_longformer import LongformerTokenizer


lowerCamelCase__      =      logging.get_logger(__name__)

lowerCamelCase__      =      {"vocab_file": "vocab.json", "merges_file": "merges.txt", "tokenizer_file": "tokenizer.json"}

lowerCamelCase__      =      {
    "vocab_file": {
        "allenai/longformer-base-4096": "https://huggingface.co/allenai/longformer-base-4096/resolve/main/vocab.json",
        "allenai/longformer-large-4096": (
            "https://huggingface.co/allenai/longformer-large-4096/resolve/main/vocab.json"
        ),
        "allenai/longformer-large-4096-finetuned-triviaqa": (
            "https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/vocab.json"
        ),
        "allenai/longformer-base-4096-extra.pos.embd.only": (
            "https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/vocab.json"
        ),
        "allenai/longformer-large-4096-extra.pos.embd.only": (
            "https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/vocab.json"
        ),
    },
    "merges_file": {
        "allenai/longformer-base-4096": "https://huggingface.co/allenai/longformer-base-4096/resolve/main/merges.txt",
        "allenai/longformer-large-4096": (
            "https://huggingface.co/allenai/longformer-large-4096/resolve/main/merges.txt"
        ),
        "allenai/longformer-large-4096-finetuned-triviaqa": (
            "https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/merges.txt"
        ),
        "allenai/longformer-base-4096-extra.pos.embd.only": (
            "https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/merges.txt"
        ),
        "allenai/longformer-large-4096-extra.pos.embd.only": (
            "https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/merges.txt"
        ),
    },
    "tokenizer_file": {
        "allenai/longformer-base-4096": (
            "https://huggingface.co/allenai/longformer-base-4096/resolve/main/tokenizer.json"
        ),
        "allenai/longformer-large-4096": (
            "https://huggingface.co/allenai/longformer-large-4096/resolve/main/tokenizer.json"
        ),
        "allenai/longformer-large-4096-finetuned-triviaqa": (
            "https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/tokenizer.json"
        ),
        "allenai/longformer-base-4096-extra.pos.embd.only": (
            "https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/tokenizer.json"
        ),
        "allenai/longformer-large-4096-extra.pos.embd.only": (
            "https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/tokenizer.json"
        ),
    },
}

lowerCamelCase__      =      {
    "allenai/longformer-base-4096": 4096,
    "allenai/longformer-large-4096": 4096,
    "allenai/longformer-large-4096-finetuned-triviaqa": 4096,
    "allenai/longformer-base-4096-extra.pos.embd.only": 4096,
    "allenai/longformer-large-4096-extra.pos.embd.only": 4096,
}



class    __SCREAMING_SNAKE_CASE			(  _UpperCamelCase      ):







  '''simple docstring'''


  SCREAMING_SNAKE_CASE__							:Dict		   =    VOCAB_FILES_NAMES
  SCREAMING_SNAKE_CASE__							:Dict		   =    PRETRAINED_VOCAB_FILES_MAP
  SCREAMING_SNAKE_CASE__							:Optional[int]		   =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  SCREAMING_SNAKE_CASE__							:Dict		   =    ["input_ids", "attention_mask"]
  SCREAMING_SNAKE_CASE__							:Any		   =    LongformerTokenizer

  def __init__(						self      :				List[Any]    ,      __a      :				str=None    ,      __a      :				int=None    ,      __a      :				str=None    ,      __a      :				Union[str, Any]="replace"    ,      __a      :				Any="<s>"    ,      __a      :				List[Any]="</s>"    ,      __a      :				Any="</s>"    ,      __a      :				Dict="<s>"    ,      __a      :				str="<unk>"    ,      __a      :				int="<pad>"    ,      __a      :				Union[str, Any]="<mask>"    ,      __a      :				Optional[Any]=False    ,      __a      :				Tuple=True    ,      **__a      :				List[str]    ,      )						-> Optional[Any]:
        super().__init__(
            __a    ,      __a    ,      tokenizer_file=__a    ,      errors=__a    ,      bos_token=__a    ,      eos_token=__a    ,      sep_token=__a    ,      cls_token=__a    ,      unk_token=__a    ,      pad_token=__a    ,      mask_token=__a    ,      add_prefix_space=__a    ,      trim_offsets=__a    ,      **__a    ,      )

        _UpperCamelCase					:		Tuple  =				json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()		)
        if pre_tok_state.get("add_prefix_space"    ,      __a		) != add_prefix_space:
              _UpperCamelCase					:		Tuple  =				getattr(__a    ,      pre_tok_state.pop("type"		)		)
              _UpperCamelCase					:		Optional[int]  =				add_prefix_space
              _UpperCamelCase					:		Optional[int]  =				pre_tok_class(**__a		)

        _UpperCamelCase					:		int  =				add_prefix_space

        _UpperCamelCase					:		Any  =				"post_processor"
        _UpperCamelCase					:		Optional[Any]  =				getattr(self.backend_tokenizer    ,      __a    ,      __a		)
        if tokenizer_component_instance:
              _UpperCamelCase					:		int  =				json.loads(tokenizer_component_instance.__getstate__()		)

              # The lists 'sep' and 'cls' must be cased in tuples for the object `post_processor_class`
              if "sep" in state:
                    _UpperCamelCase					:		Optional[int]  =				tuple(state["sep"]		)
              if "cls" in state:
                    _UpperCamelCase					:		List[str]  =				tuple(state["cls"]		)

              _UpperCamelCase					:		List[str]  =				False

              if state.get("add_prefix_space"    ,      __a		) != add_prefix_space:
                    _UpperCamelCase					:		Any  =				add_prefix_space
                    _UpperCamelCase					:		Optional[Any]  =				True

              if state.get("trim_offsets"    ,      __a		) != trim_offsets:
                    _UpperCamelCase					:		Dict  =				trim_offsets
                    _UpperCamelCase					:		Union[str, Any]  =				True

              if changes_to_apply:
                    _UpperCamelCase					:		str  =				getattr(__a    ,      state.pop("type"		)		)
                    _UpperCamelCase					:		Any  =				component_class(**__a		)
                    setattr(self.backend_tokenizer    ,      __a    ,      __a		)

  @property
  def       __SCREAMING_SNAKE_CASE (						self      :				Tuple		)						-> str:
        if self._mask_token is None:
              if self.verbose:
                    logger.error("Using mask_token, but it is not set yet."		)
              return None
        return str(self._mask_token		)

  @mask_token.setter
  def       __SCREAMING_SNAKE_CASE (						self      :				List[str]    ,      __a      :				str		)						-> str:
        _UpperCamelCase					:		Union[str, Any]  =				AddedToken(__a    ,      lstrip=__a    ,      rstrip=__a		) if isinstance(__a    ,      __a		) else value
        _UpperCamelCase					:		Optional[int]  =				value

  def       __SCREAMING_SNAKE_CASE (						self      :				int    ,      *__a      :				Optional[int]    ,      **__a      :				Any		)						-> BatchEncoding:
        _UpperCamelCase					:		Optional[int]  =				kwargs.get("is_split_into_words"    ,      __a		)
        assert self.add_prefix_space or not is_split_into_words, (
            F'''You need to instantiate {self.__class__.__name__} with add_prefix_space=True '''
            "to use it with pretokenized inputs."
        )

        return super()._batch_encode_plus(*__a    ,      **__a		)

  def       __SCREAMING_SNAKE_CASE (						self      :				Union[str, Any]    ,      *__a      :				Union[str, Any]    ,      **__a      :				Optional[int]		)						-> BatchEncoding:
        _UpperCamelCase					:		Dict  =				kwargs.get("is_split_into_words"    ,      __a		)

        assert self.add_prefix_space or not is_split_into_words, (
            F'''You need to instantiate {self.__class__.__name__} with add_prefix_space=True '''
            "to use it with pretokenized inputs."
        )

        return super()._encode_plus(*__a    ,      **__a		)

  def       __SCREAMING_SNAKE_CASE (						self      :				Tuple    ,      __a      :				str    ,      __a      :				Optional[str] = None		)						-> Tuple[str]:
        _UpperCamelCase					:		Optional[Any]  =				self._tokenizer.model.save(__a    ,      name=__a		)
        return tuple(__a		)

  def       __SCREAMING_SNAKE_CASE (						self      :				List[str]    ,      __a      :				Any    ,      __a      :				str=None		)						-> List[Any]:
        _UpperCamelCase					:		List[Any]  =				[self.bos_token_id] + token_ids_a + [self.eos_token_id]
        if token_ids_a is None:
              return output

        return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]


  def       __SCREAMING_SNAKE_CASE (						self      :				Union[str, Any]    ,      __a      :				List[int]    ,      __a      :				Optional[List[int]] = None		)						-> List[int]:
        _UpperCamelCase					:		Tuple  =				[self.sep_token_id]
        _UpperCamelCase					:		Dict  =				[self.cls_token_id]

        if token_ids_a is None:
              return len(cls + token_ids_a + sep		) * [0]
        return len(cls + token_ids_a + sep + sep + token_ids_a + sep		) * [0]







"""simple docstring"""


import glob
import os

from get_test_info import get_tester_classes


if __name__ == "__main__":
  lowerCamelCase__      =      []

  lowerCamelCase__      =      os.path.join("tests", "models", "**", "test_modeling_*.py")
  lowerCamelCase__      =      glob.glob(pattern)
  # TODO: deal with TF/Flax too
  lowerCamelCase__      =      [
      x for x in test_files if not (x.startswith("test_modeling_tf_") or x.startswith("test_modeling_flax_"))
  ]

  for test_file in test_files:
    lowerCamelCase__      =      get_tester_classes(test_file)
    for tester_class in tester_classes:
      # A few tester classes don't have `parent` parameter in `__init__`.
      # TODO: deal this better
      try:
        lowerCamelCase__      =      tester_class(parent=None)
      except Exception:
        continue
      if hasattr(tester, "get_config"):
        lowerCamelCase__      =      tester.get_config()
        for k, v in config.to_dict().items():
          if isinstance(v, int):
            lowerCamelCase__      =      None
            if k in ["vocab_size"]:
              lowerCamelCase__      =      100
            elif k in ["max_position_embeddings"]:
              lowerCamelCase__      =      128
            elif k in ["hidden_size", "d_model"]:
              lowerCamelCase__      =      40
            elif k == ["num_layers", "num_hidden_layers", "num_encoder_layers", "num_decoder_layers"]:
              lowerCamelCase__      =      5
            if target is not None and v > target:
              failures.append(
                  f"""{tester_class.__name__} will produce a `config` of type `{config.__class__.__name__}`"""
                  f""" with config[\"{k}\"] = {v} which is too large for testing! Set its value to be smaller"""
                  f""" than {target}."""
              )

  if len(failures) > 0:
    raise Exception(f"""There were {len(failures)} failures:\n""" + "\n".join(failures))
