"""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_fnet import FNetTokenizer
else:
       __lowerCAmelCase					: List[Any]        =None

__lowerCAmelCase					: Optional[int]        =logging.get_logger(__name__)
__lowerCAmelCase					: Optional[Any]        ={"""vocab_file""": """spiece.model""", """tokenizer_file""": """tokenizer.json"""}

__lowerCAmelCase					: List[str]        ={
    """vocab_file""": {
        """google/fnet-base""": """https://huggingface.co/google/fnet-base/resolve/main/spiece.model""",
        """google/fnet-large""": """https://huggingface.co/google/fnet-large/resolve/main/spiece.model""",
    },
    """tokenizer_file""": {
        """google/fnet-base""": """https://huggingface.co/google/fnet-base/resolve/main/tokenizer.json""",
        """google/fnet-large""": """https://huggingface.co/google/fnet-large/resolve/main/tokenizer.json""",
    },
}

__lowerCAmelCase					: List[Any]        ={
    """google/fnet-base""": 5_1_2,
    """google/fnet-large""": 5_1_2,
}

__lowerCAmelCase					: Optional[Any]        ="""▁"""





class 				_A		( lowerCAmelCase			):
      snake_case__    :     str													=			VOCAB_FILES_NAMES
      snake_case__    :     List[Any]													=			PRETRAINED_VOCAB_FILES_MAP
      snake_case__    :     str													=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      snake_case__    :     List[str]													=			['input_ids', 'token_type_ids']
      snake_case__    :     Any													=			FNetTokenizer

      def __init__(		self	, __lowerCAmelCase=None	, __lowerCAmelCase=None	, __lowerCAmelCase=False	, __lowerCAmelCase=True	, __lowerCAmelCase=True	, __lowerCAmelCase="<unk>"	, __lowerCAmelCase="[SEP]"	, __lowerCAmelCase="<pad>"	, __lowerCAmelCase="[CLS]"	, __lowerCAmelCase="[MASK]"	, **__lowerCAmelCase	, ):







            """simple docstring"""



            lowercase														=			(
                AddedToken(__lowerCAmelCase	, lstrip=__lowerCAmelCase	, rstrip=__lowerCAmelCase	, normalized=__lowerCAmelCase		)
                if isinstance(__lowerCAmelCase	, __lowerCAmelCase		)
                else mask_token
            )

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

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

      def        A__ (		self	, __lowerCAmelCase	, __lowerCAmelCase = None		):







            """simple docstring"""



            lowercase														=			[self.sep_token_id]
            lowercase														=			[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	, __lowerCAmelCase	, __lowerCAmelCase = None		):







            """simple docstring"""



            lowercase														=			[self.sep_token_id]
            lowercase														=			[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	, __lowerCAmelCase	, __lowerCAmelCase = None		):







            """simple docstring"""



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

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

            return (out_vocab_file,)







"""simple docstring"""






from ...configuration_utils import PretrainedConfig
from ...utils import logging


__lowerCAmelCase					: Any        =logging.get_logger(__name__)

__lowerCAmelCase					: Union[str, Any]        ={
    """facebook/timesformer""": """https://huggingface.co/facebook/timesformer/resolve/main/config.json""",
}





class 				_A		( lowerCAmelCase			):
      snake_case__    :     Optional[Any]													=			'timesformer'

      def __init__(		self	, __lowerCAmelCase=224	, __lowerCAmelCase=16	, __lowerCAmelCase=3	, __lowerCAmelCase=8	, __lowerCAmelCase=768	, __lowerCAmelCase=12	, __lowerCAmelCase=12	, __lowerCAmelCase=3072	, __lowerCAmelCase="gelu"	, __lowerCAmelCase=0.0	, __lowerCAmelCase=0.0	, __lowerCAmelCase=0.0_2	, __lowerCAmelCase=1E-6	, __lowerCAmelCase=True	, __lowerCAmelCase="divided_space_time"	, __lowerCAmelCase=0	, **__lowerCAmelCase	, ):







            """simple docstring"""



            super().__init__(**__lowerCAmelCase		)

            lowercase														=			image_size
            lowercase														=			patch_size
            lowercase														=			num_channels
            lowercase														=			num_frames

            lowercase														=			hidden_size
            lowercase														=			num_hidden_layers
            lowercase														=			num_attention_heads
            lowercase														=			intermediate_size
            lowercase														=			hidden_act
            lowercase														=			hidden_dropout_prob
            lowercase														=			attention_probs_dropout_prob
            lowercase														=			initializer_range
            lowercase														=			layer_norm_eps
            lowercase														=			qkv_bias

            lowercase														=			attention_type
            lowercase														=			drop_path_rate



