





'''simple docstring'''







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_xlnet import XLNetTokenizer
else:
					snake_case_     :       int						=  None


snake_case_     :       Dict						=  logging.get_logger(__name__)

snake_case_     :       Optional[int]						=  {"vocab_file": "spiece.model", "tokenizer_file": "tokenizer.json"}

snake_case_     :       Any						=  {
    "vocab_file": {
        "xlnet-base-cased": "https://huggingface.co/xlnet-base-cased/resolve/main/spiece.model",
        "xlnet-large-cased": "https://huggingface.co/xlnet-large-cased/resolve/main/spiece.model",
    },
    "tokenizer_file": {
        "xlnet-base-cased": "https://huggingface.co/xlnet-base-cased/resolve/main/tokenizer.json",
        "xlnet-large-cased": "https://huggingface.co/xlnet-large-cased/resolve/main/tokenizer.json",
    },
}

snake_case_     :       Tuple						=  {
    "xlnet-base-cased": None,
    "xlnet-large-cased": None,
}

snake_case_     :       Optional[int]						=  "▁"

# Segments (not really needed)
snake_case_     :       Dict						=  0
snake_case_     :       List[str]						=  1
snake_case_     :       List[Any]						=  2
snake_case_     :       Any						=  3
snake_case_     :       Optional[int]						=  4


class 					__a      (lowerCamelCase     ):
							__a					:   Union[str, Any]									=       VOCAB_FILES_NAMES
							__a					:   Any									=       PRETRAINED_VOCAB_FILES_MAP
							__a					:   List[Any]									=       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							__a					:   Union[str, Any]									=       "left"
							__a					:   List[Any]									=       XLNetTokenizer

							def __init__(							self							:     List[str]       ,     __magic_name__							:     List[str]=None       ,     __magic_name__							:     str=None       ,     __magic_name__							:     Optional[int]=False       ,     __magic_name__							:     Tuple=True       ,     __magic_name__							:     List[Any]=False       ,     __magic_name__							:     Any="<s>"       ,     __magic_name__							:     List[str]="</s>"       ,     __magic_name__							:     List[str]="<unk>"       ,     __magic_name__							:     Optional[Any]="<sep>"       ,     __magic_name__							:     Optional[Any]="<pad>"       ,     __magic_name__							:     Optional[int]="<cls>"       ,     __magic_name__							:     Tuple="<mask>"       ,     __magic_name__							:     str=["<eop>", "<eod>"]       ,     **__magic_name__							:     int       ,     )					->       Optional[Any]:







													"""simple docstring"""
													# Mask token behave like a normal word, i.e. include the space before it
													UpperCAmelCase_			:      Union[str, Any]     						=  AddedToken(__magic_name__       ,     lstrip=__magic_name__       ,     rstrip=__magic_name__   ) if isinstance(__magic_name__       ,     __magic_name__   ) else mask_token

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

													UpperCAmelCase_			:      Union[str, Any]     						=  3
													UpperCAmelCase_			:      Any     						=  do_lower_case
													UpperCAmelCase_			:      Union[str, Any]     						=  remove_space
													UpperCAmelCase_			:      List[Any]     						=  keep_accents
													UpperCAmelCase_			:      List[str]     						=  vocab_file
													UpperCAmelCase_			:      Tuple     						=  False if not self.vocab_file else True

							def     UpperCAmelCase__	(							self							:     str       ,     __magic_name__							:     List[int]       ,     __magic_name__							:     Optional[List[int]] = None   )					->       List[int]:







													"""simple docstring"""
													UpperCAmelCase_			:      List[Any]     						=  [self.sep_token_id]
													UpperCAmelCase_			:      int     						=  [self.cls_token_id]
													if token_ids_a is None:
																			return token_ids_a + sep + cls
													return token_ids_a + sep + token_ids_a + sep + cls

							def     UpperCAmelCase__	(							self							:     List[str]       ,     __magic_name__							:     List[int]       ,     __magic_name__							:     Optional[List[int]] = None   )					->       List[int]:







													"""simple docstring"""
													UpperCAmelCase_			:      List[Any]     						=  [self.sep_token_id]
													UpperCAmelCase_			:      int     						=  [2]

													if token_ids_a is None:
																			return len(token_ids_a + sep   ) * [0] + cls_segment_id
													return len(token_ids_a + sep   ) * [0] + len(token_ids_a + sep   ) * [1] + cls_segment_id



							def     UpperCAmelCase__	(							self							:     List[Any]       ,     __magic_name__							:     str       ,     __magic_name__							:     Optional[str] = None   )					->       Tuple[str]:







													"""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(__magic_name__   ):
																			logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""   )
																			return
													UpperCAmelCase_			:      Union[str, Any]     						=  os.path.join(
													    __magic_name__       ,     (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']   )

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

													return (out_vocab_file,)












'''simple docstring'''







import json
import os
import unittest

from transformers.models.blenderbot_small.tokenization_blenderbot_small import (
    VOCAB_FILES_NAMES,
    BlenderbotSmallTokenizer,
)

from ...test_tokenization_common import TokenizerTesterMixin


class 					__a      (lowerCamelCase       ,		unittest.TestCase     ):
							__a					:   List[str]									=       BlenderbotSmallTokenizer
							__a					:   List[Any]									=       False

							def     UpperCAmelCase__	(							self							:     str   )					->       str:







													"""simple docstring"""
													super().setUp()

													UpperCAmelCase_			:      Tuple     						=  ['''__start__''', '''adapt''', '''act''', '''ap@@''', '''te''', '''__end__''', '''__unk__''']
													UpperCAmelCase_			:      Optional[Any]     						=  dict(zip(__magic_name__       ,     range(len(__magic_name__   )   )   )   )

													UpperCAmelCase_			:      int     						=  ['''#version: 0.2''', '''a p''', '''t e</w>''', '''ap t</w>''', '''a d''', '''ad apt</w>''', '''a c''', '''ac t</w>''', '''''']
													UpperCAmelCase_			:      Optional[Any]     						=  {'''unk_token''': '''__unk__''', '''bos_token''': '''__start__''', '''eos_token''': '''__end__'''}

													UpperCAmelCase_			:      Tuple     						=  os.path.join(self.tmpdirname       ,     VOCAB_FILES_NAMES['''vocab_file''']   )
													UpperCAmelCase_			:      Dict     						=  os.path.join(self.tmpdirname       ,     VOCAB_FILES_NAMES['''merges_file''']   )
													with open(self.vocab_file       ,     '''w'''       ,     encoding='''utf-8'''   ) as fp:
																			fp.write(json.dumps(__magic_name__   ) + '''\n'''   )
													with open(self.merges_file       ,     '''w'''       ,     encoding='''utf-8'''   ) as fp:
																			fp.write('''\n'''.join(__magic_name__   )   )

							def     UpperCAmelCase__	(							self							:     List[Any]       ,     **__magic_name__							:     Dict   )					->       Tuple:







													"""simple docstring"""
													kwargs.update(self.special_tokens_map   )
													return BlenderbotSmallTokenizer.from_pretrained(self.tmpdirname       ,     **__magic_name__   )

							def     UpperCAmelCase__	(							self							:     Optional[int]       ,     __magic_name__							:     List[str]   )					->       List[str]:







													"""simple docstring"""
													UpperCAmelCase_			:      str     						=  '''adapt act apte'''
													UpperCAmelCase_			:      Tuple     						=  '''adapt act apte'''
													return input_text, output_text

							def     UpperCAmelCase__	(							self							:     str   )					->       Any:







													"""simple docstring"""
													UpperCAmelCase_			:      str     						=  BlenderbotSmallTokenizer(self.vocab_file       ,     self.merges_file       ,     **self.special_tokens_map   )
													UpperCAmelCase_			:      List[Any]     						=  '''adapt act apte'''
													UpperCAmelCase_			:      Dict     						=  ['''adapt''', '''act''', '''ap@@''', '''te''']
													UpperCAmelCase_			:      Dict     						=  tokenizer.tokenize(__magic_name__   )
													self.assertListEqual(__magic_name__       ,     __magic_name__   )

													UpperCAmelCase_			:      Tuple     						=  [tokenizer.bos_token] + tokens + [tokenizer.eos_token]

													UpperCAmelCase_			:      Dict     						=  [0, 1, 2, 3, 4, 5]
													self.assertListEqual(tokenizer.convert_tokens_to_ids(__magic_name__   )       ,     __magic_name__   )

							def     UpperCAmelCase__	(							self							:     int   )					->       List[str]:







													"""simple docstring"""
													UpperCAmelCase_			:      List[Any]     						=  BlenderbotSmallTokenizer.from_pretrained('''facebook/blenderbot-90M'''   )
													assert tok('''sam'''   ).input_ids == [13_84]
													UpperCAmelCase_			:      Optional[int]     						=  '''I am a small frog.'''
													UpperCAmelCase_			:      List[str]     						=  tok([src_text]       ,     padding=__magic_name__       ,     truncation=__magic_name__   )['''input_ids''']
													UpperCAmelCase_			:      Dict     						=  tok.batch_decode(__magic_name__       ,     skip_special_tokens=__magic_name__       ,     clean_up_tokenization_spaces=__magic_name__   )[0]
													assert src_text != decoded  # I wish it did!
													assert decoded == "i am a small frog ."



							def     UpperCAmelCase__	(							self							:     Any   )					->       Union[str, Any]:







													"""simple docstring"""
													UpperCAmelCase_			:      int     						=  BlenderbotSmallTokenizer.from_pretrained('''facebook/blenderbot-90M'''   )
													UpperCAmelCase_			:      List[Any]     						=  '''I am a small frog .'''
													UpperCAmelCase_			:      Any     						=  '''.'''
													UpperCAmelCase_			:      List[Any]     						=  tok(__magic_name__   )['''input_ids''']
													UpperCAmelCase_			:      Optional[int]     						=  tok(__magic_name__   )['''input_ids''']

													assert encoded[-1] == encoded_dot[0]





