






"""simple docstring"""







import json
import os
from typing import Dict, List, Optional, Tuple

import regex as re

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


_lowerCAmelCase            =	logging.get_logger(__name__)


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

_lowerCAmelCase            =	{
    """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"""
        )
    },
}

_lowerCAmelCase            =	{"""facebook/blenderbot_small-90M""": 5_12}


def      UpperCamelCase       ( _A )     ->       List[str]:
				lowercase    :      Any       = set()
				lowercase    :      int       = word[0]
				for char in word[1:]:
								pairs.add((prev_char, char) )
								lowercase    :      Tuple       = char

				lowercase    :      Any       = set(lowerCAmelCase__ )
				return pairs


class      UpperCamelCase		(__snake_case     ):
						_SCREAMING_SNAKE_CASE  : Union[str, Any]												=		VOCAB_FILES_NAMES
						_SCREAMING_SNAKE_CASE  : Optional[int]												=		PRETRAINED_VOCAB_FILES_MAP
						_SCREAMING_SNAKE_CASE  : Any												=		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						_SCREAMING_SNAKE_CASE  : Optional[int]												=		['input_ids', 'attention_mask']






						def __init__(		self  :Optional[int]			, __magic_name__  :Optional[int]			, __magic_name__  :Union[str, Any]			, __magic_name__  :Tuple="__start__"			, __magic_name__  :int="__end__"			, __magic_name__  :Any="__unk__"			, __magic_name__  :Optional[Any]="__null__"			, **__magic_name__  :List[Any]			, )      ->Any:
										super().__init__(unk_token=__lowerCAmelCase			, bos_token=__lowerCAmelCase			, eos_token=__lowerCAmelCase			, pad_token=__lowerCAmelCase			, **__lowerCAmelCase				)

										with open(__lowerCAmelCase			, encoding="""utf-8"""				) as vocab_handle:
														lowercase    :      List[str]       = json.load(__lowerCAmelCase				)
										lowercase    :      Optional[int]       = {v: k for k, v in self.encoder.items()}
										with open(__lowerCAmelCase			, encoding="""utf-8"""				) as merges_handle:
														lowercase    :      int       = merges_handle.read().split("""\n"""				)[1:-1]
										lowercase    :      Tuple       = [tuple(merge.split()				) for merge in merges]
										lowercase    :      Optional[Any]       = dict(zip(__lowerCAmelCase			, range(len(__lowerCAmelCase				)				)				)				)
										lowercase    :      Any       = {}






						@property
						def      __snake_case      (		self  :Tuple				)      ->Dict:
										return len(self.encoder				)






						def      __snake_case      (		self  :List[Any]				)      ->int:
										return dict(self.encoder			, **self.added_tokens_encoder				)






						def      __snake_case      (		self  :List[str]			, __magic_name__  :Union[str, Any]				)      ->Dict:



										if token in self.cache:
														return self.cache[token]
										lowercase    :      Optional[Any]       = re.sub("""([.,!?()])"""			, r""" \1"""			, __lowerCAmelCase				)
										lowercase    :      Any       = re.sub("""(')"""			, r""" \1 """			, __lowerCAmelCase				)
										lowercase    :      Optional[Any]       = re.sub(r"""\s{2,}"""			, """ """			, __lowerCAmelCase				)
										if "\n" in token:
														lowercase    :      Union[str, Any]       = token.replace("""\n"""			, """ __newln__"""				)

										lowercase    :      List[str]       = token.split(""" """				)
										lowercase    :      Dict       = []
										for token in tokens:
														if not len(__lowerCAmelCase				):
																		continue

														lowercase    :      List[str]       = token.lower()
														lowercase    :      Optional[Any]       = tuple(__lowerCAmelCase				)
														lowercase    :      Tuple       = tuple(list(word[:-1]				) + [word[-1] + """</w>"""]				)
														lowercase    :      int       = get_pairs(__lowerCAmelCase				)

														if not pairs:
																		words.append(__lowerCAmelCase				)
																		continue

														while True:
																		lowercase    :      Union[str, Any]       = min(__lowerCAmelCase			, key=lambda __magic_name__				: self.bpe_ranks.get(__lowerCAmelCase			, float("""inf"""				)				)				)
																		if bigram not in self.bpe_ranks:
																						break
																		lowercase      ,      lowercase    :      str       = bigram
																		lowercase    :      Any       = []
																		lowercase    :      Union[str, Any]       = 0

																		while i < len(__lowerCAmelCase				):
																						try:
																										lowercase    :      int       = word.index(__lowerCAmelCase			, __lowerCAmelCase				)
																										new_word.extend(word[i:j]				)
																										lowercase    :      Optional[int]       = j
																						except ValueError:
																										new_word.extend(word[i:]				)
																										break

																						if word[i] == first and i < len(__lowerCAmelCase				) - 1 and word[i + 1] == second:
																										new_word.append(first + second				)
																										i += 2
																						else:
																										new_word.append(word[i]				)
																										i += 1
																		lowercase    :      List[str]       = tuple(__lowerCAmelCase				)
																		lowercase    :      List[Any]       = new_word
																		if len(__lowerCAmelCase				) == 1:
																						break
																		else:
																						lowercase    :      int       = get_pairs(__lowerCAmelCase				)
														lowercase    :      str       = """@@ """.join(__lowerCAmelCase				)
														lowercase    :      str       = word[:-4]

														lowercase    :      Optional[Any]       = word
														words.append(__lowerCAmelCase				)
										return " ".join(__lowerCAmelCase				)






						def      __snake_case      (		self  :Union[str, Any]			, __magic_name__  :int				)      ->Optional[int]:
										lowercase    :      str       = []

										lowercase    :      Any       = re.findall(r"""\S+\n?"""			, __lowerCAmelCase				)

										for token in words:
														split_tokens.extend(list(self.bpe(__lowerCAmelCase				).split(""" """				)				)				)
										return split_tokens






						def      __snake_case      (		self  :Tuple			, __magic_name__  :Optional[int]				)      ->Union[str, Any]:
										lowercase    :      List[Any]       = token.lower()
										return self.encoder.get(__lowerCAmelCase			, self.encoder.get(self.unk_token				)				)






						def      __snake_case      (		self  :List[Any]			, __magic_name__  :Union[str, Any]				)      ->Optional[int]:
										return self.decoder.get(__lowerCAmelCase			, self.unk_token				)






						def      __snake_case      (		self  :List[Any]			, __magic_name__  :Optional[Any]				)      ->Union[str, Any]:
										lowercase    :      int       = """ """.join(__lowerCAmelCase				).replace("""@@ """			, """"""				).strip()
										return out_string






						def      __snake_case      (		self  :Optional[int]			, __magic_name__  :List[str]			, __magic_name__  :Optional[Any] = None				)      ->Optional[Any]:



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

										with open(__lowerCAmelCase			, """w"""			, encoding="""utf-8"""				) as f:
														f.write(json.dumps(self.encoder			, indent=2			, sort_keys=__lowerCAmelCase			, ensure_ascii=__lowerCAmelCase				) + """\n"""				)

										lowercase    :      str       = 0
										with open(__lowerCAmelCase			, """w"""			, encoding="""utf-8"""				) as writer:
														writer.write("""#version: 0.2\n"""				)
														for bpe_tokens, token_index in sorted(self.bpe_ranks.items()			, key=lambda __magic_name__				: kv[1]				):
																		if index != token_index:
																						logger.warning(
																						    f"""Saving vocabulary to {merge_file}: BPE merge indices are not consecutive."""
																						    """ Please check that the tokenizer is not corrupted!"""				)
																						lowercase    :      Dict       = token_index
																		writer.write(""" """.join(__lowerCAmelCase				) + """\n"""				)
																		index += 1

										return vocab_file, merge_file

"""simple docstring"""






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


__lowerCAmelCase       :			int   	=logging.get_logger(__name__)

__lowerCAmelCase       :			Optional[Any]   	={
    """uw-madison/mra-base-512-4""": """https://huggingface.co/uw-madison/mra-base-512-4/resolve/main/config.json""",
}





class 					_A		(			lowerCAmelCase      ):
      snake_case__     :  Optional[int]				    =      'mra'

      def __init__(		self						,			__lowerCAmelCase=5_0265						,			__lowerCAmelCase=768						,			__lowerCAmelCase=12						,			__lowerCAmelCase=12						,			__lowerCAmelCase=3072						,			__lowerCAmelCase="gelu"						,			__lowerCAmelCase=0.1						,			__lowerCAmelCase=0.1						,			__lowerCAmelCase=512						,			__lowerCAmelCase=1						,			__lowerCAmelCase=0.0_2						,			__lowerCAmelCase=1E-5						,			__lowerCAmelCase="absolute"						,			__lowerCAmelCase=4						,			__lowerCAmelCase="full"						,			__lowerCAmelCase=0						,			__lowerCAmelCase=0						,			__lowerCAmelCase=1						,			__lowerCAmelCase=0						,			__lowerCAmelCase=2						,			**__lowerCAmelCase						,			):







            """simple docstring"""



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

            lowercase								=      vocab_size
            lowercase								=      max_position_embeddings
            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								=      type_vocab_size
            lowercase								=      layer_norm_eps
            lowercase								=      position_embedding_type
            lowercase								=      block_per_row
            lowercase								=      approx_mode
            lowercase								=      initial_prior_first_n_blocks
            lowercase								=      initial_prior_diagonal_n_blocks



