


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:
    A      = None

A      = logging.get_logger(__name__)
A      = {"vocab_file": "spiece.model", "tokenizer_file": "tokenizer.json"}

A      = {
    "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",
    },
}

A      = {
    "albert-base-v1": 512,
    "albert-large-v1": 512,
    "albert-xlarge-v1": 512,
    "albert-xxlarge-v1": 512,
    "albert-base-v2": 512,
    "albert-large-v2": 512,
    "albert-xlarge-v2": 512,
    "albert-xxlarge-v2": 512,
}

A      = "▁"


class     lowercase__  (					__SCREAMING_SNAKE_CASE		):
  A__=  VOCAB_FILES_NAMES
  A__=  PRETRAINED_VOCAB_FILES_MAP
  A__=  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  A__=  AlbertTokenizer






  def __init__(					self      :					Tuple		,						_lowercase      :					Union[str, Any]=None		,						_lowercase      :					Dict=None		,						_lowercase      :					str=True		,						_lowercase      :					str=True		,						_lowercase      :					Optional[int]=False		,						_lowercase      :					Tuple="[CLS]"		,						_lowercase      :					Optional[Any]="[SEP]"		,						_lowercase      :					Any="<unk>"		,						_lowercase      :					Optional[Any]="[SEP]"		,						_lowercase      :					List[str]="<pad>"		,						_lowercase      :					Optional[Any]="[CLS]"		,						_lowercase      :					Dict="[MASK]"		,						**_lowercase      :					Optional[int]		,						):




         """simple docstring"""







         UpperCAmelCase__										=     (
             AddedToken(_lowercase		,						lstrip=_lowercase		,						rstrip=_lowercase		,						normalized=_lowercase )
             if isinstance(_lowercase		,						_lowercase )
             else mask_token
         )

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

         UpperCAmelCase__										=     do_lower_case
         UpperCAmelCase__										=     remove_space
         UpperCAmelCase__										=     keep_accents
         UpperCAmelCase__										=     vocab_file
         UpperCAmelCase__										=     False if not self.vocab_file else True






  def 			_UpperCAmelCase  (					self      :					Optional[int]		,						_lowercase      :					List[int]		,						_lowercase      :					Optional[List[int]] = None ):




         """simple docstring"""







         UpperCAmelCase__										=     [self.sep_token_id]
         UpperCAmelCase__										=     [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 			_UpperCAmelCase  (					self      :					Union[str, Any]		,						_lowercase      :					List[int]		,						_lowercase      :					Optional[List[int]] = None ):




         """simple docstring"""







         UpperCAmelCase__										=     [self.sep_token_id]
         UpperCAmelCase__										=     [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 			_UpperCAmelCase  (					self      :					Union[str, Any]		,						_lowercase      :					str		,						_lowercase      :					Optional[str] = None ):




         """simple docstring"""







         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(_lowercase ):
                logger.error(F"""Vocabulary path ({save_directory}) should be a directory""" )
                return
         UpperCAmelCase__										=     os.path.join(
             _lowercase		,						(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"] )

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

         return (out_vocab_file,)









import os
import unittest

from transformers.models.bartpho.tokenization_bartpho import VOCAB_FILES_NAMES, BartphoTokenizer
from transformers.testing_utils import get_tests_dir

from ...test_tokenization_common import TokenizerTesterMixin


A      = get_tests_dir("fixtures/test_sentencepiece_bpe.model")


class     lowercase__  (					__SCREAMING_SNAKE_CASE					,							unittest.TestCase		):
  A__=  BartphoTokenizer
  A__=  False
  A__=  True






  def 			_UpperCAmelCase  (					self      :					Dict ):




         """simple docstring"""







         super().setUp()

         UpperCAmelCase__										=     ["▁This", "▁is", "▁a", "▁t", "est"]
         UpperCAmelCase__										=     dict(zip(_lowercase		,						range(len(_lowercase ) ) ) )
         UpperCAmelCase__										=     {"unk_token": "<unk>"}

         UpperCAmelCase__										=     os.path.join(self.tmpdirname		,						VOCAB_FILES_NAMES["monolingual_vocab_file"] )
         with open(self.monolingual_vocab_file		,						"w"		,						encoding="utf-8" ) as fp:
                for token in vocab_tokens:
                       fp.write(F"""{token} {vocab_tokens[token]}\n""" )

         UpperCAmelCase__										=     BartphoTokenizer(_lowercase		,						self.monolingual_vocab_file		,						**self.special_tokens_map )
         tokenizer.save_pretrained(self.tmpdirname )






  def 			_UpperCAmelCase  (					self      :					Dict		,						**_lowercase      :					Optional[Any] ):




         """simple docstring"""







         kwargs.update(self.special_tokens_map )
         return BartphoTokenizer.from_pretrained(self.tmpdirname		,						**_lowercase )






  def 			_UpperCAmelCase  (					self      :					List[Any]		,						_lowercase      :					Union[str, Any] ):




         """simple docstring"""







         UpperCAmelCase__										=     "This is a là test"
         UpperCAmelCase__										=     "This is a<unk><unk> test"
         return input_text, output_text






  def 			_UpperCAmelCase  (					self      :					Optional[Any] ):




         """simple docstring"""







         UpperCAmelCase__										=     BartphoTokenizer(_lowercase		,						self.monolingual_vocab_file		,						**self.special_tokens_map )
         UpperCAmelCase__										=     "This is a là test"
         UpperCAmelCase__										=     "▁This ▁is ▁a ▁l à ▁t est".split()
         UpperCAmelCase__										=     tokenizer.tokenize(_lowercase )
         self.assertListEqual(_lowercase		,						_lowercase )

         UpperCAmelCase__										=     tokens + [tokenizer.unk_token]
         UpperCAmelCase__										=     [4, 5, 6, 3, 3, 7, 8, 3]
         self.assertListEqual(tokenizer.convert_tokens_to_ids(_lowercase )		,						_lowercase )





