

from typing import List, Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_herbert import HerbertTokenizer


lowerCAmelCase__								=		logging.get_logger(__name__)

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

lowerCAmelCase__								=		{
    """vocab_file""": {
        """allegro/herbert-base-cased""": """https://huggingface.co/allegro/herbert-base-cased/resolve/main/vocab.json"""
    },
    """merges_file""": {
        """allegro/herbert-base-cased""": """https://huggingface.co/allegro/herbert-base-cased/resolve/main/merges.txt"""
    },
}

lowerCAmelCase__								=		{"""allegro/herbert-base-cased""": 5_1_4}
lowerCAmelCase__								=		{}







class 	lowercase    (				_lowercase							):


		"""simple docstring"""




		a__					       =  VOCAB_FILES_NAMES
		a__					       =  PRETRAINED_VOCAB_FILES_MAP
		a__					       =  PRETRAINED_INIT_CONFIGURATION
		a__					       =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		a__					       =  HerbertTokenizer


		def __init__(				self	,       __snake_case=None	,       __snake_case=None	,       __snake_case=None	,       __snake_case="<s>"	,       __snake_case="<unk>"	,       __snake_case="<pad>"	,       __snake_case="<mask>"	,       __snake_case="</s>"	,       **__snake_case	,       ):
			super().__init__(
			    __snake_case	,       __snake_case	,       tokenizer_file=__snake_case	,       cls_token=__snake_case	,       unk_token=__snake_case	,       pad_token=__snake_case	,       mask_token=__snake_case	,       sep_token=__snake_case	,       **__snake_case	,       )


		def 		A__					(				self	,       __snake_case	,       __snake_case = None):
			_UpperCamelCase   :		Tuple			=						[self.cls_token_id]
			_UpperCamelCase   :		Tuple			=						[self.sep_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	,       __snake_case	,       __snake_case = None	,       __snake_case = False):
			if already_has_special_tokens:
				return super().get_special_tokens_mask(
				    token_ids_a=__snake_case	,       token_ids_a=__snake_case	,       already_has_special_tokens=__snake_case)

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


		def 		A__					(				self	,       __snake_case	,       __snake_case = None):
			_UpperCamelCase   :		str			=						[self.sep_token_id]
			_UpperCamelCase   :		List[str]			=						[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	,       __snake_case	,       __snake_case = None):
			_UpperCamelCase   :		str			=						self._tokenizer.model.save(__snake_case	,       name=__snake_case)
			return tuple(__snake_case)







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


lowerCAmelCase__								=		logging.get_logger(__name__)

lowerCAmelCase__								=		{
    """facebook/vit-mae-base""": """https://huggingface.co/facebook/vit-mae-base/resolve/main/config.json""",
    # See all ViT MAE models at https://huggingface.co/models?filter=vit-mae
}







class 	lowercase    (				_lowercase							):


		"""simple docstring"""




		a__					       =  "vit_mae"


		def __init__(				self	,       __snake_case=7_68	,       __snake_case=12	,       __snake_case=12	,       __snake_case=30_72	,       __snake_case="gelu"	,       __snake_case=0.0	,       __snake_case=0.0	,       __snake_case=0.0_2	,       __snake_case=1e-12	,       __snake_case=2_24	,       __snake_case=16	,       __snake_case=3	,       __snake_case=True	,       __snake_case=16	,       __snake_case=5_12	,       __snake_case=8	,       __snake_case=20_48	,       __snake_case=0.7_5	,       __snake_case=False	,       **__snake_case	,       ):
			super().__init__(**__snake_case)

			_UpperCamelCase   :		Optional[int]			=						hidden_size
			_UpperCamelCase   :		Optional[int]			=						num_hidden_layers
			_UpperCamelCase   :		Tuple			=						num_attention_heads
			_UpperCamelCase   :		List[str]			=						intermediate_size
			_UpperCamelCase   :		str			=						hidden_act
			_UpperCamelCase   :		List[str]			=						hidden_dropout_prob
			_UpperCamelCase   :		List[Any]			=						attention_probs_dropout_prob
			_UpperCamelCase   :		str			=						initializer_range
			_UpperCamelCase   :		Any			=						layer_norm_eps
			_UpperCamelCase   :		int			=						image_size
			_UpperCamelCase   :		Any			=						patch_size
			_UpperCamelCase   :		List[Any]			=						num_channels
			_UpperCamelCase   :		Union[str, Any]			=						qkv_bias
			_UpperCamelCase   :		str			=						decoder_num_attention_heads
			_UpperCamelCase   :		Union[str, Any]			=						decoder_hidden_size
			_UpperCamelCase   :		Union[str, Any]			=						decoder_num_hidden_layers
			_UpperCamelCase   :		Any			=						decoder_intermediate_size
			_UpperCamelCase   :		int			=						mask_ratio
			_UpperCamelCase   :		List[Any]			=						norm_pix_loss




