


'''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:
	__lowercase      :		Union[str, Any]			=      None


__lowercase      :		List[str]			=      logging.get_logger(__name__)

__lowercase      :		Union[str, Any]			=      {'vocab_file': 'spiece.model', 'tokenizer_file': 'tokenizer.json'}

__lowercase      :		int			=      {
    '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',
    },
}

__lowercase      :		Union[str, Any]			=      {
    'xlnet-base-cased': None,
    'xlnet-large-cased': None,
}

__lowercase      :		Optional[Any]			=      '▁'

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





class 				__UpperCamelCase							(						UpperCamelCase_   ):
	A_           =       VOCAB_FILES_NAMES
	A_           =       PRETRAINED_VOCAB_FILES_MAP
	A_           =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	A_           =       "left"
	A_           =       XLNetTokenizer




	def __init__(  self		,							__a=None		,							__a=None		,							__a=False		,							__a=True		,							__a=False		,							__a="<s>"		,							__a="</s>"		,							__a="<unk>"		,							__a="<sep>"		,							__a="<pad>"		,							__a="<cls>"		,							__a="<mask>"		,							__a=["<eop>", "<eod>"]		,							**__a		,							):

						'''simple docstring'''





						__a     :			Optional[Any]          =    AddedToken(__SCREAMING_SNAKE_CASE		,							lstrip=__SCREAMING_SNAKE_CASE		,							rstrip=__SCREAMING_SNAKE_CASE				) if isinstance(__SCREAMING_SNAKE_CASE		,							__SCREAMING_SNAKE_CASE				) else mask_token

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

						__a     :			Optional[int]          =    3
						__a     :			Any          =    do_lower_case
						__a     :			Tuple          =    remove_space
						__a     :			Optional[Any]          =    keep_accents
						__a     :			Optional[Any]          =    vocab_file
						__a     :			Any          =    False if not self.vocab_file else True




	def  __UpperCAmelCase				(  self		,							__a		,							__a = None				):

						'''simple docstring'''





						__a     :			Any          =    [self.sep_token_id]
						__a     :			str          =    [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		,							__a		,							__a = None				):

						'''simple docstring'''





						__a     :			str          =    [self.sep_token_id]
						__a     :			Optional[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		,							__a		,							__a = 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(__SCREAMING_SNAKE_CASE				):
											logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""				)
											return
						__a     :			List[Any]          =    os.path.join(
						    __SCREAMING_SNAKE_CASE		,							(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']				)

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

						return (out_vocab_file,)





# limitations under the License.

# NOTE: This file is deprecated and will be removed in a future version.
# It only exists so that temporarely `from diffusers.pipelines import DiffusionPipeline` works

from .pipelines import DiffusionPipeline, ImagePipelineOutput  # noqa: F401
from .utils import deprecate


deprecate(
    "pipelines_utils",
    "0.22.0",
    "Importing `DiffusionPipeline` or `ImagePipelineOutput` from diffusers.pipeline_utils is deprecated. Please import from diffusers.pipelines.pipeline_utils instead.",
    standard_warn=False,
    stacklevel=3,
)


