


import json
from typing import TYPE_CHECKING, List, Optional, Tuple

from tokenizers import pre_tokenizers

from ...tokenization_utils_base import BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging


if TYPE_CHECKING:
      from transformers.pipelines.conversational import Conversation


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

snake_case							:	str					      =				{"""tokenizer_file""": """tokenizer.json"""}

snake_case							:	Dict					      =				{
    """tokenizer_file""": {
        """bigscience/tokenizer""": """https://huggingface.co/bigscience/tokenizer/blob/main/tokenizer.json""",
        """bigscience/bloom-560m""": """https://huggingface.co/bigscience/bloom-560m/blob/main/tokenizer.json""",
        """bigscience/bloom-1b1""": """https://huggingface.co/bigscience/bloom-1b1/blob/main/tokenizer.json""",
        """bigscience/bloom-1b7""": """https://huggingface.co/bigscience/bloom-1b7/blob/main/tokenizer.json""",
        """bigscience/bloom-3b""": """https://huggingface.co/bigscience/bloom-3b/blob/main/tokenizer.json""",
        """bigscience/bloom-7b1""": """https://huggingface.co/bigscience/bloom-7b1/blob/main/tokenizer.json""",
        """bigscience/bloom""": """https://huggingface.co/bigscience/bloom/blob/main/tokenizer.json""",
    },
}







class 	snake_case_       (lowerCamelCase__				):
     UpperCAmelCase__ :   Optional[Any]   				=      VOCAB_FILES_NAMES
     UpperCAmelCase__ :   Tuple   				=      PRETRAINED_VOCAB_FILES_MAP
     UpperCAmelCase__ :   List[str]   				=      ['input_ids', 'attention_mask']
     UpperCAmelCase__ :   List[str]   				=      None
     def __init__(				self       :List[str]      ,__snake_case       :Any=None      ,__snake_case       :List[Any]=None      ,__snake_case       :Tuple=None      ,__snake_case       :Dict="<unk>"      ,__snake_case       :str="<s>"      ,__snake_case       :Any="</s>"      ,__snake_case       :str="<pad>"      ,__snake_case       :Dict=False      ,__snake_case       :Union[str, Any]=False      ,**__snake_case       :str      ,) ->   Tuple:
            super().__init__(
                __snake_case      ,__snake_case      ,tokenizer_file=__snake_case      ,unk_token=__snake_case      ,bos_token=__snake_case      ,eos_token=__snake_case      ,pad_token=__snake_case      ,add_prefix_space=__snake_case      ,clean_up_tokenization_spaces=__snake_case      ,**__snake_case      ,)
            a__					=					json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()				)
            if pre_tok_state.get('add_prefix_space'      ,__snake_case				) != add_prefix_space:
                   a__					=					getattr(__snake_case      ,pre_tok_state.pop('type'				)				)
                   a__					=					add_prefix_space
                   a__					=					pre_tok_class(**__snake_case				)

            a__					=					add_prefix_space
     def 			lowerCamelCase__(				self       :Optional[int]      ,*__snake_case       :Optional[int]      ,**__snake_case       :Optional[Any]				) ->   Dict:
            a__					=					kwargs.get('is_split_into_words'      ,__snake_case				)
            if not (self.add_prefix_space or not is_split_into_words):
                   raise Exception(
                       F'You need to instantiate {self.__class__.__name__} with add_prefix_space=True to use it with'
                       ' pretokenized inputs.'				)

            return super()._batch_encode_plus(*__snake_case      ,**__snake_case				)
     def 			lowerCamelCase__(				self       :Dict      ,*__snake_case       :List[str]      ,**__snake_case       :Dict				) ->   List[str]:
            a__					=					kwargs.get('is_split_into_words'      ,__snake_case				)

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

            return super()._encode_plus(*__snake_case      ,**__snake_case				)
     def 			lowerCamelCase__(				self       :Dict      ,__snake_case       :Optional[int]      ,__snake_case       :Optional[int] = None				) ->   List[str]:
            a__					=					self._tokenizer.model.save(__snake_case      ,name=__snake_case				)
            return tuple(__snake_case				)



     def 			lowerCamelCase__(				self       :Union[str, Any]      ,__snake_case       :Optional[Any]				) ->   Tuple:
            a__					=					[]
            for is_user, text in conversation.iter_texts():
                   input_ids.extend(self.encode(__snake_case      ,add_special_tokens=__snake_case				) + [self.eos_token_id]				)

            if len(__snake_case				) > self.model_max_length:
                   a__					=					input_ids[-self.model_max_length :]
            return input_ids








from typing import List

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


snake_case							:	Tuple					      =				logging.get_logger(__name__)

snake_case							:	List[Any]					      =				{
    '''snap-research/efficientformer-l1-300''': (
        '''https://huggingface.co/snap-research/efficientformer-l1-300/resolve/main/config.json'''
    ),
}







class 	snake_case_       (lowerCamelCase_				):
					UpperCAmelCase__ :   int   				=      '''efficientformer'''
					def __init__(				self       :List[str]      ,__snake_case       :List[int] = [3, 2, 6, 4]      ,__snake_case       :List[int] = [48, 96, 2_24, 4_48]      ,__snake_case       :List[bool] = [True, True, True, True]      ,__snake_case       :int = 4_48      ,__snake_case       :int = 32      ,__snake_case       :int = 4      ,__snake_case       :int = 7      ,__snake_case       :int = 5      ,__snake_case       :int = 8      ,__snake_case       :int = 4      ,__snake_case       :float = 0.0      ,__snake_case       :int = 16      ,__snake_case       :int = 3      ,__snake_case       :int = 3      ,__snake_case       :int = 3      ,__snake_case       :int = 2      ,__snake_case       :int = 1      ,__snake_case       :float = 0.0      ,__snake_case       :int = 1      ,__snake_case       :bool = True      ,__snake_case       :bool = True      ,__snake_case       :float = 1E-5      ,__snake_case       :str = "gelu"      ,__snake_case       :float = 0.02      ,__snake_case       :float = 1E-12      ,__snake_case       :int = 2_24      ,__snake_case       :float = 1E-05      ,**__snake_case       :Dict      ,) ->   None:
												super().__init__(**__snake_case				)

												a__					=					hidden_act
												a__					=					hidden_dropout_prob
												a__					=					hidden_sizes
												a__					=					num_hidden_layers
												a__					=					num_attention_heads
												a__					=					initializer_range
												a__					=					layer_norm_eps
												a__					=					patch_size
												a__					=					num_channels
												a__					=					depths
												a__					=					mlp_expansion_ratio
												a__					=					downsamples
												a__					=					dim
												a__					=					key_dim
												a__					=					attention_ratio
												a__					=					resolution
												a__					=					pool_size
												a__					=					downsample_patch_size
												a__					=					downsample_stride
												a__					=					downsample_pad
												a__					=					drop_path_rate
												a__					=					num_metaad_blocks
												a__					=					distillation
												a__					=					use_layer_scale
												a__					=					layer_scale_init_value
												a__					=					image_size
												a__					=					batch_norm_eps




