

from typing import List, Optional

from tokenizers import ByteLevelBPETokenizer

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_blenderbot_small import BlenderbotSmallTokenizer


_UpperCAmelCase	:     Any		       = logging.get_logger(__name__)

_UpperCAmelCase	:     int		       = {
    """vocab_file""": """vocab.json""",
    """merges_file""": """merges.txt""",
    """tokenizer_config_file""": """tokenizer_config.json""",
}

_UpperCAmelCase	:     int		       = {
    """vocab_file""": {
        """facebook/blenderbot_small-90M""": """https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/vocab.json"""
    },
    """merges_file""": {
        """facebook/blenderbot_small-90M""": """https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/merges.txt"""
    },
    """tokenizer_config_file""": {
        """facebook/blenderbot_small-90M""": (
            """https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/tokenizer_config.json"""
        )
    },
}

_UpperCAmelCase	:     str		       = {
    """facebook/blenderbot_small-90M""": 512,
}







class 				lowercase       ( lowercase_    ):
				__SCREAMING_SNAKE_CASE      :				Tuple     =    VOCAB_FILES_NAMES
				__SCREAMING_SNAKE_CASE      :				List[str]     =    PRETRAINED_VOCAB_FILES_MAP
				__SCREAMING_SNAKE_CASE      :				Dict     =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				__SCREAMING_SNAKE_CASE      :				str     =    BlenderbotSmallTokenizer




				def __init__(      self   ,     snake_case=None   ,     snake_case=None   ,     snake_case="<|endoftext|>"   ,     snake_case="<|endoftext|>"   ,     snake_case="<|endoftext|>"   ,     snake_case=False   ,     snake_case=True   ,     **snake_case   ,     ):
											super().__init__(
											    ByteLevelBPETokenizer(
											        vocab=snake_case   ,     merges=snake_case   ,     add_prefix_space=snake_case   ,     trim_offsets=snake_case   ,     )   ,     bos_token=snake_case   ,     eos_token=snake_case   ,     unk_token=snake_case   ,     **snake_case   ,     )
											snake_case_           =					add_prefix_space




				def 					a							(      self   ,     snake_case   ,     snake_case=None ):
											snake_case_           =					[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 					a							(      self   ,     snake_case   ,     snake_case = None ):
											snake_case_           =					[self.sep_token_id]
											snake_case_           =					[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]







def       __lowerCamelCase			(				UpperCamelCase__     ,							UpperCamelCase__   ):







							'''simple docstring'''






							snake_case_           =					len(UpperCamelCase__   )
							snake_case_           =					len(UpperCamelCase__   )
							snake_case_           =					(
							    first_str_length if first_str_length > second_str_length else second_str_length
							)
							snake_case_           =					[]
							for char_count in range(UpperCamelCase__   ):
														if char_count < first_str_length:
																					output_list.append(first_str[char_count]   )
														if char_count < second_str_length:
																					output_list.append(second_str[char_count]   )
							return "".join(UpperCamelCase__   )


if __name__ == "__main__":
					print(alternative_string_arrange("""AB""", """XYZ"""), end=""" """)




