



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_bart import BartTokenizer


a_			=					logging.get_logger(__name__)


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

# See all BART models at https://huggingface.co/models?filter=bart
a_			=					{
    """vocab_file""": {
        """facebook/bart-base""": """https://huggingface.co/facebook/bart-base/resolve/main/vocab.json""",
        """facebook/bart-large""": """https://huggingface.co/facebook/bart-large/resolve/main/vocab.json""",
        """facebook/bart-large-mnli""": """https://huggingface.co/facebook/bart-large-mnli/resolve/main/vocab.json""",
        """facebook/bart-large-cnn""": """https://huggingface.co/facebook/bart-large-cnn/resolve/main/vocab.json""",
        """facebook/bart-large-xsum""": """https://huggingface.co/facebook/bart-large-xsum/resolve/main/vocab.json""",
        """yjernite/bart_eli5""": """https://huggingface.co/yjernite/bart_eli5/resolve/main/vocab.json""",
    },
    """merges_file""": {
        """facebook/bart-base""": """https://huggingface.co/facebook/bart-base/resolve/main/merges.txt""",
        """facebook/bart-large""": """https://huggingface.co/facebook/bart-large/resolve/main/merges.txt""",
        """facebook/bart-large-mnli""": """https://huggingface.co/facebook/bart-large-mnli/resolve/main/merges.txt""",
        """facebook/bart-large-cnn""": """https://huggingface.co/facebook/bart-large-cnn/resolve/main/merges.txt""",
        """facebook/bart-large-xsum""": """https://huggingface.co/facebook/bart-large-xsum/resolve/main/merges.txt""",
        """yjernite/bart_eli5""": """https://huggingface.co/yjernite/bart_eli5/resolve/main/merges.txt""",
    },
    """tokenizer_file""": {
        """facebook/bart-base""": """https://huggingface.co/facebook/bart-base/resolve/main/tokenizer.json""",
        """facebook/bart-large""": """https://huggingface.co/facebook/bart-large/resolve/main/tokenizer.json""",
        """facebook/bart-large-mnli""": """https://huggingface.co/facebook/bart-large-mnli/resolve/main/tokenizer.json""",
        """facebook/bart-large-cnn""": """https://huggingface.co/facebook/bart-large-cnn/resolve/main/tokenizer.json""",
        """facebook/bart-large-xsum""": """https://huggingface.co/facebook/bart-large-xsum/resolve/main/tokenizer.json""",
        """yjernite/bart_eli5""": """https://huggingface.co/yjernite/bart_eli5/resolve/main/tokenizer.json""",
    },
}

a_			=					{
    """facebook/bart-base""": 1_024,
    """facebook/bart-large""": 1_024,
    """facebook/bart-large-mnli""": 1_024,
    """facebook/bart-large-cnn""": 1_024,
    """facebook/bart-large-xsum""": 1_024,
    """yjernite/bart_eli5""": 1_024,
}



class  __lowerCAmelCase     (	lowerCAmelCase__   ):
 lowerCAmelCase__       					=  VOCAB_FILES_NAMES
 lowerCAmelCase__       					=  PRETRAINED_VOCAB_FILES_MAP
 lowerCAmelCase__       					=  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 lowerCAmelCase__       					=  ["""input_ids""", """attention_mask"""]
 lowerCAmelCase__       					=  BartTokenizer




 def __init__(						self	,				__UpperCAmelCase=None	,				__UpperCAmelCase=None	,				__UpperCAmelCase=None	,				__UpperCAmelCase="replace"	,				__UpperCAmelCase="<s>"	,				__UpperCAmelCase="</s>"	,				__UpperCAmelCase="</s>"	,				__UpperCAmelCase="<s>"	,				__UpperCAmelCase="<unk>"	,				__UpperCAmelCase="<pad>"	,				__UpperCAmelCase="<mask>"	,				__UpperCAmelCase=False	,				__UpperCAmelCase=True	,				**__UpperCAmelCase	,				):



    '''simple docstring'''
    super().__init__(
        __UpperCAmelCase	,				__UpperCAmelCase	,				tokenizer_file=__UpperCAmelCase	,				errors=__UpperCAmelCase	,				bos_token=__UpperCAmelCase	,				eos_token=__UpperCAmelCase	,				sep_token=__UpperCAmelCase	,				cls_token=__UpperCAmelCase	,				unk_token=__UpperCAmelCase	,				pad_token=__UpperCAmelCase	,				mask_token=__UpperCAmelCase	,				add_prefix_space=__UpperCAmelCase	,				trim_offsets=__UpperCAmelCase	,				**__UpperCAmelCase	,				)

    __lowerCamelCase													=    json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()				)
    if pre_tok_state.get('''add_prefix_space'''	,				__UpperCAmelCase				) != add_prefix_space:
       __lowerCamelCase													=    getattr(__UpperCAmelCase	,				pre_tok_state.pop('''type'''				)				)
       __lowerCamelCase													=    add_prefix_space
       __lowerCamelCase													=    pre_tok_class(**__UpperCAmelCase				)

    __lowerCamelCase													=    add_prefix_space

    # the pre_tokenizer is already updated in the GPT2TokenizerFast `__init__`
    __lowerCamelCase													=    '''post_processor'''
    __lowerCamelCase													=    getattr(self.backend_tokenizer	,				__UpperCAmelCase	,				__UpperCAmelCase				)
    if tokenizer_component_instance:
       __lowerCamelCase													=    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:
          __lowerCamelCase													=    tuple(state['''sep''']				)
       if "cls" in state:
          __lowerCamelCase													=    tuple(state['''cls''']				)

       __lowerCamelCase													=    False

       if state.get('''add_prefix_space'''	,				__UpperCAmelCase				) != add_prefix_space:
          __lowerCamelCase													=    add_prefix_space
          __lowerCamelCase													=    True

       if state.get('''trim_offsets'''	,				__UpperCAmelCase				) != trim_offsets:
          __lowerCamelCase													=    trim_offsets
          __lowerCamelCase													=    True

       if changes_to_apply:
          __lowerCamelCase													=    getattr(__UpperCAmelCase	,				state.pop('''type'''				)				)
          __lowerCamelCase													=    component_class(**__UpperCAmelCase				)
          setattr(self.backend_tokenizer	,				__UpperCAmelCase	,				__UpperCAmelCase				)




 @property
 def        lowerCamelCase      (						self				):



    '''simple docstring'''
    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        lowerCamelCase      (						self	,				__UpperCAmelCase				):



    '''simple docstring'''
    __lowerCamelCase													=    AddedToken(__UpperCAmelCase	,				lstrip=__UpperCAmelCase	,				rstrip=__UpperCAmelCase				) if isinstance(__UpperCAmelCase	,				__UpperCAmelCase				) else value
    __lowerCamelCase													=    value




 def        lowerCamelCase      (						self	,				*__UpperCAmelCase	,				**__UpperCAmelCase				):



    '''simple docstring'''
    __lowerCamelCase													=    kwargs.get('''is_split_into_words'''	,				__UpperCAmelCase				)

    if is_split_into_words and not self.add_prefix_space:
       raise ValueError(
           F"""You need to instantiate {self.__class__.__name__} with add_prefix_space=True """
           '''to use it with pretokenized inputs.'''				)

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




 def        lowerCamelCase      (						self	,				*__UpperCAmelCase	,				**__UpperCAmelCase				):



    '''simple docstring'''
    __lowerCamelCase													=    kwargs.get('''is_split_into_words'''	,				__UpperCAmelCase				)

    if is_split_into_words and not self.add_prefix_space:
       raise ValueError(
           F"""You need to instantiate {self.__class__.__name__} with add_prefix_space=True """
           '''to use it with pretokenized inputs.'''				)

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




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



    '''simple docstring'''
    __lowerCamelCase													=    self._tokenizer.model.save(__UpperCAmelCase	,				name=__UpperCAmelCase				)
    return tuple(__UpperCAmelCase				)




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



    '''simple docstring'''
    __lowerCamelCase													=    [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        lowerCamelCase      (						self	,				__UpperCAmelCase	,				__UpperCAmelCase = None				):



    '''simple docstring'''
    __lowerCamelCase													=    [self.sep_token_id]
    __lowerCamelCase													=    [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]











from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


a_			=					logging.get_logger(__name__)

a_			=					{
    """sail/poolformer_s12""": """https://huggingface.co/sail/poolformer_s12/resolve/main/config.json""",
    # See all PoolFormer models at https://huggingface.co/models?filter=poolformer
}



class  __lowerCAmelCase     (	lowerCAmelCase__   ):
 lowerCAmelCase__       					=  """poolformer"""




 def __init__(						self	,				__UpperCAmelCase=3	,				__UpperCAmelCase=16	,				__UpperCAmelCase=16	,				__UpperCAmelCase=3	,				__UpperCAmelCase=4.0	,				__UpperCAmelCase=[2, 2, 6, 2]	,				__UpperCAmelCase=[64, 128, 320, 512]	,				__UpperCAmelCase=[7, 3, 3, 3]	,				__UpperCAmelCase=[4, 2, 2, 2]	,				__UpperCAmelCase=[2, 1, 1, 1]	,				__UpperCAmelCase=4	,				__UpperCAmelCase=0.0	,				__UpperCAmelCase="gelu"	,				__UpperCAmelCase=True	,				__UpperCAmelCase=1E-5	,				__UpperCAmelCase=0.02	,				**__UpperCAmelCase	,				):



    '''simple docstring'''
    __lowerCamelCase													=    num_channels
    __lowerCamelCase													=    patch_size
    __lowerCamelCase													=    stride
    __lowerCamelCase													=    padding
    __lowerCamelCase													=    pool_size
    __lowerCamelCase													=    hidden_sizes
    __lowerCamelCase													=    mlp_ratio
    __lowerCamelCase													=    depths
    __lowerCamelCase													=    patch_sizes
    __lowerCamelCase													=    strides
    __lowerCamelCase													=    num_encoder_blocks
    __lowerCamelCase													=    drop_path_rate
    __lowerCamelCase													=    hidden_act
    __lowerCamelCase													=    use_layer_scale
    __lowerCamelCase													=    layer_scale_init_value
    __lowerCamelCase													=    initializer_range
    super().__init__(**__UpperCAmelCase				)



class  __lowerCAmelCase     (	lowerCAmelCase__   ):
 lowerCAmelCase__       					=  version.parse("""1.11"""   )




 @property
 def        lowerCamelCase      (						self				):



    '''simple docstring'''
    return OrderedDict(
        [
            ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
        ]				)




 @property
 def        lowerCamelCase      (						self				):



    '''simple docstring'''
    return 2E-3






