



from typing import List, Optional, Tuple

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


A_		:     int        =     logging.get_logger(__name__)

A_		:     List[str]        =     {'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt''', '''tokenizer_file''': '''tokenizer.json'''}

A_		:     str        =     {
    '''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'''
    },
}

A_		:     Optional[int]        =     {'''allegro/herbert-base-cased''': 5_14}
A_		:     Optional[Any]        =     {}



class 		_lowercase		(       UpperCAmelCase__	):
   _UpperCAmelCase     	=			VOCAB_FILES_NAMES
   _UpperCAmelCase     	=			PRETRAINED_VOCAB_FILES_MAP
   _UpperCAmelCase     	=			PRETRAINED_INIT_CONFIGURATION
   _UpperCAmelCase     	=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   _UpperCAmelCase     	=			HerbertTokenizer

   def __init__(      self			:       Any							,   __lowerCAmelCase			:       Union[str, Any]=None							,   __lowerCAmelCase			:       Optional[Any]=None							,   __lowerCAmelCase			:       Any=None							,   __lowerCAmelCase			:       Optional[Any]="<s>"							,   __lowerCAmelCase			:       Optional[Any]="<unk>"							,   __lowerCAmelCase			:       Union[str, Any]="<pad>"							,   __lowerCAmelCase			:       Union[str, Any]="<mask>"							,   __lowerCAmelCase			:       str="</s>"							,   **__lowerCAmelCase			:       List[Any]							,   )       ->				Any:


    """simple docstring"""






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

   def 		A							(      self			:       str							,   __lowerCAmelCase			:       List[int]							,   __lowerCAmelCase			:       Optional[List[int]] = None							)       ->				List[int]:


    """simple docstring"""






    a						=		[self.cls_token_id]
    a						=		[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			:       Any							,   __lowerCAmelCase			:       List[int]							,   __lowerCAmelCase			:       Optional[List[int]] = None							,   __lowerCAmelCase			:       bool = False							)       ->				List[int]:


    """simple docstring"""






    if already_has_special_tokens:
     return super().get_special_tokens_mask(
         token_ids_a=__lowerCAmelCase							,   token_ids_a=__lowerCAmelCase							,   already_has_special_tokens=__lowerCAmelCase							)

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

   def 		A							(      self			:       List[str]							,   __lowerCAmelCase			:       List[int]							,   __lowerCAmelCase			:       Optional[List[int]] = None							)       ->				List[int]:


    """simple docstring"""






    a						=		[self.sep_token_id]
    a						=		[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			:       List[str]							,   __lowerCAmelCase			:       str							,   __lowerCAmelCase			:       Optional[str] = None							)       ->				Tuple[str]:


    """simple docstring"""






    a						=		self._tokenizer.model.save(__lowerCAmelCase							,   name=__lowerCAmelCase							)
    return tuple(__lowerCAmelCase							)






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


A_		:     str        =     logging.get_logger(__name__)

A_		:     List[Any]        =     {
    '''RWKV/rwkv-4-169m-pile''': '''https://huggingface.co/RWKV/rwkv-4-169m-pile/resolve/main/config.json''',
    '''RWKV/rwkv-4-430m-pile''': '''https://huggingface.co/RWKV/rwkv-4-430m-pile/resolve/main/config.json''',
    '''RWKV/rwkv-4-1b5-pile''': '''https://huggingface.co/RWKV/rwkv-4-1b5-pile/resolve/main/config.json''',
    '''RWKV/rwkv-4-3b-pile''': '''https://huggingface.co/RWKV/rwkv-4-3b-pile/resolve/main/config.json''',
    '''RWKV/rwkv-4-7b-pile''': '''https://huggingface.co/RWKV/rwkv-4-7b-pile/resolve/main/config.json''',
    '''RWKV/rwkv-4-14b-pile''': '''https://huggingface.co/RWKV/rwkv-4-14b-pile/resolve/main/config.json''',
    '''RWKV/rwkv-raven-1b5''': '''https://huggingface.co/RWKV/rwkv-raven-1b5/resolve/main/config.json''',
    '''RWKV/rwkv-raven-3b''': '''https://huggingface.co/RWKV/rwkv-raven-3b/resolve/main/config.json''',
    '''RWKV/rwkv-raven-7b''': '''https://huggingface.co/RWKV/rwkv-raven-7b/resolve/main/config.json''',
    '''RWKV/rwkv-raven-14b''': '''https://huggingface.co/RWKV/rwkv-raven-14b/resolve/main/config.json''',
}



class 		_lowercase		(       UpperCAmelCase__	):
   _UpperCAmelCase     	=			'''rwkv'''
   _UpperCAmelCase     	=			{'''max_position_embeddings''': '''context_length'''}

   def __init__(      self			:       List[str]							,   __lowerCAmelCase			:       Union[str, Any]=5_0277							,   __lowerCAmelCase			:       str=1024							,   __lowerCAmelCase			:       Union[str, Any]=4096							,   __lowerCAmelCase			:       Optional[int]=32							,   __lowerCAmelCase			:       Optional[int]=None							,   __lowerCAmelCase			:       Optional[Any]=None							,   __lowerCAmelCase			:       List[Any]=1E-5							,   __lowerCAmelCase			:       Union[str, Any]=0							,   __lowerCAmelCase			:       Optional[Any]=0							,   __lowerCAmelCase			:       Dict=6							,   __lowerCAmelCase			:       int=False							,   __lowerCAmelCase			:       Tuple=True							,   **__lowerCAmelCase			:       List[str]							,   )       ->				List[Any]:


    """simple docstring"""






    a						=		vocab_size
    a						=		context_length
    a						=		hidden_size
    a						=		num_hidden_layers
    a						=		attention_hidden_size if attention_hidden_size is not None else hidden_size
    a						=		intermediate_size if intermediate_size is not None else 4 * hidden_size
    a						=		layer_norm_epsilon
    a						=		rescale_every
    a						=		use_cache

    a						=		bos_token_id
    a						=		eos_token_id

    super().__init__(
        tie_word_embeddings=__lowerCAmelCase							,   bos_token_id=__lowerCAmelCase							,   eos_token_id=__lowerCAmelCase							,   **__lowerCAmelCase							)

