


import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
 from .tokenization_albert import AlbertTokenizer
else:
 _SCREAMING_SNAKE_CASE      :			Tuple      				=   None

_SCREAMING_SNAKE_CASE      :			str      				=   logging.get_logger(__name__)
_SCREAMING_SNAKE_CASE      :			Union[str, Any]      				=   {"vocab_file": "spiece.model", "tokenizer_file": "tokenizer.json"}

_SCREAMING_SNAKE_CASE      :			Optional[Any]      				=   {
    "vocab_file": {
        "albert-base-v1": "https://huggingface.co/albert-base-v1/resolve/main/spiece.model",
        "albert-large-v1": "https://huggingface.co/albert-large-v1/resolve/main/spiece.model",
        "albert-xlarge-v1": "https://huggingface.co/albert-xlarge-v1/resolve/main/spiece.model",
        "albert-xxlarge-v1": "https://huggingface.co/albert-xxlarge-v1/resolve/main/spiece.model",
        "albert-base-v2": "https://huggingface.co/albert-base-v2/resolve/main/spiece.model",
        "albert-large-v2": "https://huggingface.co/albert-large-v2/resolve/main/spiece.model",
        "albert-xlarge-v2": "https://huggingface.co/albert-xlarge-v2/resolve/main/spiece.model",
        "albert-xxlarge-v2": "https://huggingface.co/albert-xxlarge-v2/resolve/main/spiece.model",
    },
    "tokenizer_file": {
        "albert-base-v1": "https://huggingface.co/albert-base-v1/resolve/main/tokenizer.json",
        "albert-large-v1": "https://huggingface.co/albert-large-v1/resolve/main/tokenizer.json",
        "albert-xlarge-v1": "https://huggingface.co/albert-xlarge-v1/resolve/main/tokenizer.json",
        "albert-xxlarge-v1": "https://huggingface.co/albert-xxlarge-v1/resolve/main/tokenizer.json",
        "albert-base-v2": "https://huggingface.co/albert-base-v2/resolve/main/tokenizer.json",
        "albert-large-v2": "https://huggingface.co/albert-large-v2/resolve/main/tokenizer.json",
        "albert-xlarge-v2": "https://huggingface.co/albert-xlarge-v2/resolve/main/tokenizer.json",
        "albert-xxlarge-v2": "https://huggingface.co/albert-xxlarge-v2/resolve/main/tokenizer.json",
    },
}

_SCREAMING_SNAKE_CASE      :			Tuple      				=   {
    "albert-base-v1": 5_12,
    "albert-large-v1": 5_12,
    "albert-xlarge-v1": 5_12,
    "albert-xxlarge-v1": 5_12,
    "albert-base-v2": 5_12,
    "albert-large-v2": 5_12,
    "albert-xlarge-v2": 5_12,
    "albert-xxlarge-v2": 5_12,
}

_SCREAMING_SNAKE_CASE      :			str      				=   "▁"

class   A__ (   __SCREAMING_SNAKE_CASE     ):







     """simple docstring"""

     __magic_name__        =		VOCAB_FILES_NAMES
     __magic_name__        =		PRETRAINED_VOCAB_FILES_MAP
     __magic_name__        =		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     __magic_name__        =		AlbertTokenizer
     def __init__(	self      , __snake_case=None      , __snake_case=None      , __snake_case=True      , __snake_case=True      , __snake_case=False      , __snake_case="[CLS]"      , __snake_case="[SEP]"      , __snake_case="<unk>"      , __snake_case="[SEP]"      , __snake_case="<pad>"      , __snake_case="[CLS]"      , __snake_case="[MASK]"      , **__snake_case      , ):
          snake_case					=    (
              AddedToken(__UpperCAmelCase      , lstrip=__UpperCAmelCase      , rstrip=__UpperCAmelCase      , normalized=__UpperCAmelCase   )
              if isinstance(__UpperCAmelCase      , __UpperCAmelCase   )
              else mask_token
          )

          super().__init__(
              __UpperCAmelCase      , tokenizer_file=__UpperCAmelCase      , do_lower_case=__UpperCAmelCase      , remove_space=__UpperCAmelCase      , keep_accents=__UpperCAmelCase      , bos_token=__UpperCAmelCase      , eos_token=__UpperCAmelCase      , unk_token=__UpperCAmelCase      , sep_token=__UpperCAmelCase      , pad_token=__UpperCAmelCase      , cls_token=__UpperCAmelCase      , mask_token=__UpperCAmelCase      , **__UpperCAmelCase      , )

          snake_case					=    do_lower_case
          snake_case					=    remove_space
          snake_case					=    keep_accents
          snake_case					=    vocab_file
          snake_case					=    False if not self.vocab_file else True
     def 		a_      (	self      , __snake_case      , __snake_case = None   ):
          snake_case					=    [self.sep_token_id]
          snake_case					=    [self.cls_token_id]
          if token_ids_a is None:
               return cls + token_ids_a + sep
          return cls + token_ids_a + sep + token_ids_a + sep
     def 		a_      (	self      , __snake_case      , __snake_case = None   ):
          snake_case					=    [self.sep_token_id]
          snake_case					=    [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   ) * [0] + len(token_ids_a + sep   ) * [1]




     def 		a_      (	self      , __snake_case      , __snake_case = None   ):
          if not self.can_save_slow_tokenizer:
               raise ValueError(
                   '''Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '''
                   '''tokenizer.'''   )

          if not os.path.isdir(__UpperCAmelCase   ):
               logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''   )
               return
          snake_case					=    os.path.join(
              __UpperCAmelCase      , (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']   )

          if os.path.abspath(self.vocab_file   ) != os.path.abspath(__UpperCAmelCase   ):
               copyfile(self.vocab_file      , __UpperCAmelCase   )

          return (out_vocab_file,)








# tests directory-specific settings - this file is run automatically
# by pytest before any tests are run

import sys
import warnings
from os.path import abspath, dirname, join


# allow having multiple repository checkouts and not needing to remember to rerun
# 'pip install -e .[dev]' when switching between checkouts and running tests.
_SCREAMING_SNAKE_CASE      :			Union[str, Any]      				=   abspath(join(dirname(dirname(dirname(__file__))), "src"))
sys.path.insert(1, git_repo_path)


# silence FutureWarning warnings in tests since often we can't act on them until
# they become normal warnings - i.e. the tests still need to test the current functionality
warnings.simplefilter(action="ignore", category=FutureWarning)
def       UpperCAmelCase__						(UpperCamelCase_    ):



     """simple docstring"""






     from transformers.testing_utils import pytest_addoption_shared

     pytest_addoption_shared(UpperCamelCase_    )

def       UpperCAmelCase__						(UpperCamelCase_    ):



     """simple docstring"""






     from transformers.testing_utils import pytest_terminal_summary_main

     snake_case					=    terminalreporter.config.getoption('''--make-reports'''    )
     if make_reports:
          pytest_terminal_summary_main(UpperCamelCase_							,id=UpperCamelCase_    )




