


import json
import os
from functools import lru_cache
from typing import List, Optional, Tuple

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


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

UpperCAmelCase      :						str    =		{
    "vocab_file": "vocab.json",
    "merges_file": "merges.txt",
}

UpperCAmelCase      :						Union[str, Any]    =		{
    "vocab_file": {
        "roberta-base": "https://huggingface.co/roberta-base/resolve/main/vocab.json",
        "roberta-large": "https://huggingface.co/roberta-large/resolve/main/vocab.json",
        "roberta-large-mnli": "https://huggingface.co/roberta-large-mnli/resolve/main/vocab.json",
        "distilroberta-base": "https://huggingface.co/distilroberta-base/resolve/main/vocab.json",
        "roberta-base-openai-detector": "https://huggingface.co/roberta-base-openai-detector/resolve/main/vocab.json",
        "roberta-large-openai-detector": (
            "https://huggingface.co/roberta-large-openai-detector/resolve/main/vocab.json"
        ),
    },
    "merges_file": {
        "roberta-base": "https://huggingface.co/roberta-base/resolve/main/merges.txt",
        "roberta-large": "https://huggingface.co/roberta-large/resolve/main/merges.txt",
        "roberta-large-mnli": "https://huggingface.co/roberta-large-mnli/resolve/main/merges.txt",
        "distilroberta-base": "https://huggingface.co/distilroberta-base/resolve/main/merges.txt",
        "roberta-base-openai-detector": "https://huggingface.co/roberta-base-openai-detector/resolve/main/merges.txt",
        "roberta-large-openai-detector": (
            "https://huggingface.co/roberta-large-openai-detector/resolve/main/merges.txt"
        ),
    },
}

UpperCAmelCase      :						Optional[Any]    =		{
    "roberta-base": 5_12,
    "roberta-large": 5_12,
    "roberta-large-mnli": 5_12,
    "distilroberta-base": 5_12,
    "roberta-base-openai-detector": 5_12,
    "roberta-large-openai-detector": 5_12,
}






@lru_cache()
def   __lowerCamelCase	(       ):





			'''simple docstring'''




			lowerCamelCase								=     (
			    list(range(ord("""!"""			)     ,       ord("""~"""			) + 1			)			) + list(range(ord("""¡"""			)     ,       ord("""¬"""			) + 1			)			) + list(range(ord("""®"""			)     ,       ord("""ÿ"""			) + 1			)			)
			)
			lowerCamelCase								=     bs[:]
			lowerCamelCase								=     0
			for b in range(2**8			):
						if b not in bs:
									bs.append(_A			)
									cs.append(2**8 + n			)
									n += 1
			lowerCamelCase								=     [chr(_A			) for n in cs]
			return dict(zip(_A     ,       _A			)			)






def   __lowerCamelCase	(       lowerCamelCase__		:	str			):





			'''simple docstring'''




			lowerCamelCase								=     set()
			lowerCamelCase								=     word[0]
			for char in word[1:]:
						pairs.add((prev_char, char)			)
						lowerCamelCase								=     char
			return pairs







class 					__lowercase					(       lowerCamelCase__     ):



		"""simple docstring"""

		UpperCamelCase    :				List[Any] 					=		VOCAB_FILES_NAMES
		UpperCamelCase    :				List[Any] 					=		PRETRAINED_VOCAB_FILES_MAP
		UpperCamelCase    :				Tuple 					=		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		UpperCamelCase    :				Any 					=		['input_ids', 'attention_mask']







		def __init__(   self		,			A		,			A		,			A="replace"		,			A="<s>"		,			A="</s>"		,			A="</s>"		,			A="<s>"		,			A="<unk>"		,			A="<pad>"		,			A="<mask>"		,			A=False		,			**A		,			)     ->   Optional[Any]:







					'''simple docstring'''







					lowerCamelCase								=     AddedToken(lowercase_		,			lstrip=lowercase_		,			rstrip=lowercase_  ) if isinstance(lowercase_		,			lowercase_  ) else bos_token
					lowerCamelCase								=     AddedToken(lowercase_		,			lstrip=lowercase_		,			rstrip=lowercase_  ) if isinstance(lowercase_		,			lowercase_  ) else eos_token
					lowerCamelCase								=     AddedToken(lowercase_		,			lstrip=lowercase_		,			rstrip=lowercase_  ) if isinstance(lowercase_		,			lowercase_  ) else sep_token
					lowerCamelCase								=     AddedToken(lowercase_		,			lstrip=lowercase_		,			rstrip=lowercase_  ) if isinstance(lowercase_		,			lowercase_  ) else cls_token
					lowerCamelCase								=     AddedToken(lowercase_		,			lstrip=lowercase_		,			rstrip=lowercase_  ) if isinstance(lowercase_		,			lowercase_  ) else unk_token
					lowerCamelCase								=     AddedToken(lowercase_		,			lstrip=lowercase_		,			rstrip=lowercase_  ) if isinstance(lowercase_		,			lowercase_  ) else pad_token

					# Mask token behave like a normal word, i.e. include the space before it
					lowerCamelCase								=     AddedToken(lowercase_		,			lstrip=lowercase_		,			rstrip=lowercase_  ) if isinstance(lowercase_		,			lowercase_  ) else mask_token

					super().__init__(
					    errors=lowercase_		,			bos_token=lowercase_		,			eos_token=lowercase_		,			unk_token=lowercase_		,			sep_token=lowercase_		,			cls_token=lowercase_		,			pad_token=lowercase_		,			mask_token=lowercase_		,			add_prefix_space=lowercase_		,			**lowercase_		,			)

					with open(lowercase_		,			encoding="""utf-8"""  ) as vocab_handle:
								lowerCamelCase								=     json.load(lowercase_  )
					lowerCamelCase								=     {v: k for k, v in self.encoder.items()}
					lowerCamelCase								=     errors  # how to handle errors in decoding
					lowerCamelCase								=     bytes_to_unicode()
					lowerCamelCase								=     {v: k for k, v in self.byte_encoder.items()}
					with open(lowercase_		,			encoding="""utf-8"""  ) as merges_handle:
								lowerCamelCase								=     merges_handle.read().split("""\n"""  )[1:-1]
					lowerCamelCase								=     [tuple(merge.split()  ) for merge in bpe_merges]
					lowerCamelCase								=     dict(zip(lowercase_		,			range(len(lowercase_  )  )  )  )
					lowerCamelCase								=     {}
					lowerCamelCase								=     add_prefix_space

					# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
					lowerCamelCase								=     re.compile(r"""\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+"""  )







		@property
		def 				__A      (   self  )     ->   Optional[int]:







					'''simple docstring'''







					return len(self.encoder  )







		def 				__A      (   self  )     ->   Tuple:







					'''simple docstring'''







					return dict(self.encoder		,			**self.added_tokens_encoder  )







		def 				__A      (   self		,			A  )     ->   Union[str, Any]:







					'''simple docstring'''







					if token in self.cache:
								return self.cache[token]
					lowerCamelCase								=     tuple(lowercase_  )
					lowerCamelCase								=     get_pairs(lowercase_  )

					if not pairs:
								return token

					while True:
								lowerCamelCase								=     min(lowercase_		,			key=lambda A  : self.bpe_ranks.get(lowercase_		,			float("""inf"""  )  )  )
								if bigram not in self.bpe_ranks:
											break
								lowerCamelCase		,		lowerCamelCase								=     bigram
								lowerCamelCase								=     []
								lowerCamelCase								=     0
								while i < len(lowercase_  ):
											try:
														lowerCamelCase								=     word.index(lowercase_		,			lowercase_  )
											except ValueError:
														new_word.extend(word[i:]  )
														break
											else:
														new_word.extend(word[i:j]  )
														lowerCamelCase								=     j

											if word[i] == first and i < len(lowercase_  ) - 1 and word[i + 1] == second:
														new_word.append(first + second  )
														i += 2
											else:
														new_word.append(word[i]  )
														i += 1
								lowerCamelCase								=     tuple(lowercase_  )
								lowerCamelCase								=     new_word
								if len(lowercase_  ) == 1:
											break
								else:
											lowerCamelCase								=     get_pairs(lowercase_  )
					lowerCamelCase								=     """ """.join(lowercase_  )
					lowerCamelCase								=     word
					return word







		def 				__A      (   self		,			A  )     ->   Union[str, Any]:







					'''simple docstring'''







					lowerCamelCase								=     []
					for token in re.findall(self.pat		,			lowercase_  ):
								lowerCamelCase								=     """""".join(
								    self.byte_encoder[b] for b in token.encode("""utf-8"""  )  )  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
								bpe_tokens.extend(bpe_token for bpe_token in self.bpe(lowercase_  ).split(""" """  )  )
					return bpe_tokens







		def 				__A      (   self		,			A  )     ->   Optional[Any]:







					'''simple docstring'''







					return self.encoder.get(lowercase_		,			self.encoder.get(self.unk_token  )  )







		def 				__A      (   self		,			A  )     ->   Optional[int]:







					'''simple docstring'''







					return self.decoder.get(lowercase_  )







		def 				__A      (   self		,			A  )     ->   Union[str, Any]:







					'''simple docstring'''







					lowerCamelCase								=     """""".join(lowercase_  )
					lowerCamelCase								=     bytearray([self.byte_decoder[c] for c in text]  ).decode("""utf-8"""		,			errors=self.errors  )
					return text







		def 				__A      (   self		,			A		,			A = None  )     ->   Tuple[str]:







					'''simple docstring'''







					if not os.path.isdir(lowercase_  ):
								logger.error(F'Vocabulary path ({save_directory}) should be a directory'  )
								return
					lowerCamelCase								=     os.path.join(
					    lowercase_		,			(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]  )
					lowerCamelCase								=     os.path.join(
					    lowercase_		,			(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""merges_file"""]  )

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

					lowerCamelCase								=     0
					with open(lowercase_		,			"""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 A  : 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!"""  )
														lowerCamelCase								=     token_index
											writer.write(""" """.join(lowercase_  ) + """\n"""  )
											index += 1

					return vocab_file, merge_file







		def 				__A      (   self		,			A		,			A = None  )     ->   List[int]:







					'''simple docstring'''







					if token_ids_a is None:
								return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
					lowerCamelCase								=     [self.cls_token_id]
					lowerCamelCase								=     [self.sep_token_id]
					return cls + token_ids_a + sep + sep + token_ids_a + sep







		def 				__A      (   self		,			A		,			A = None		,			A = False  )     ->   List[int]:







					'''simple docstring'''







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

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







		def 				__A      (   self		,			A		,			A = None  )     ->   List[int]:







					'''simple docstring'''







					lowerCamelCase								=     [self.sep_token_id]
					lowerCamelCase								=     [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 				__A      (   self		,			A		,			A=False		,			**A  )     ->   List[str]:







					'''simple docstring'''







					lowerCamelCase								=     kwargs.pop("""add_prefix_space"""		,			self.add_prefix_space  )
					if (is_split_into_words or add_prefix_space) and (len(lowercase_  ) > 0 and not text[0].isspace()):
								lowerCamelCase								=     """ """ + text
					return (text, kwargs)



from __future__ import annotations

from collections.abc import Callable
from typing import Generic, TypeVar

UpperCAmelCase      :						List[str]    =		TypeVar("T")
UpperCAmelCase      :						Dict    =		TypeVar("U")







class 					__lowercase					(       Generic[T, U]     ):



		"""simple docstring"""

		def __init__(   self		,			A		,			A  )     ->   Any:







					'''simple docstring'''







					lowerCamelCase								=     key
					lowerCamelCase								=     val
					lowerCamelCase								=     0
					lowerCamelCase								=     None
					lowerCamelCase								=     None







		def __repr__(   self  )     ->   str:







					'''simple docstring'''







					return "Node: key: {}, val: {}, freq: {}, has next: {}, has prev: {}".format(
					    self.key		,			self.val		,			self.freq		,			self.next is not None		,			self.prev is not None  )







class 					__lowercase					(       Generic[T, U]     ):



		"""simple docstring"""

		def __init__(   self  )     ->   None:







					'''simple docstring'''







					lowerCamelCase								=     DoubleLinkedListNode(A		,			A  )
					lowerCamelCase								=     DoubleLinkedListNode(A		,			A  )
					lowerCamelCase		,		lowerCamelCase								=     self.rear, self.head







		def __repr__(   self  )     ->   str:







					'''simple docstring'''







					lowerCamelCase								=     ["""DoubleLinkedList"""]
					lowerCamelCase								=     self.head
					while node.next is not None:
								rep.append(str(A  )  )
								lowerCamelCase								=     node.next
					rep.append(str(self.rear  )  )
					return ",\n    ".join(A  )







		def 				__A      (   self		,			A  )     ->   None:







					'''simple docstring'''







					lowerCamelCase								=     self.rear.prev

					# All nodes other than self.head are guaranteed to have non-None previous
					assert previous is not None

					lowerCamelCase								=     node
					lowerCamelCase								=     previous
					lowerCamelCase								=     node
					lowerCamelCase								=     self.rear
					node.freq += 1
					self._position_node(A  )







		def 				__A      (   self		,			A  )     ->   None:







					'''simple docstring'''







					while node.prev is not None and node.prev.freq > node.freq:
								# swap node with previous node
								lowerCamelCase								=     node.prev

								lowerCamelCase								=     previous_node.prev
								lowerCamelCase								=     node.prev
								lowerCamelCase								=     previous_node
								lowerCamelCase								=     node







		def 				__A      (   self		,			A  )     ->   DoubleLinkedListNode[T, U] | None:







					'''simple docstring'''







					if node.prev is None or node.next is None:
								return None

					lowerCamelCase								=     node.next
					lowerCamelCase								=     node.prev
					lowerCamelCase								=     None
					lowerCamelCase								=     None
					return node







class 					__lowercase					(       Generic[T, U]     ):



		"""simple docstring"""

		UpperCamelCase    :				dict[Callable[[T], U], LFUCache[T, U]] 					=		{}







		def __init__(   self		,			A  )     ->   Union[str, Any]:







					'''simple docstring'''







					lowerCamelCase								=     DoubleLinkedList()
					lowerCamelCase								=     capacity
					lowerCamelCase								=     0
					lowerCamelCase								=     0
					lowerCamelCase								=     0
					lowerCamelCase								=     {}







		def __repr__(   self  )     ->   str:







					'''simple docstring'''







					return (
					    F'CacheInfo(hits={self.hits}, misses={self.miss}, '
					    F'capacity={self.capacity}, current_size={self.num_keys})'
					)







		def __contains__(   self		,			A  )     ->   bool:







					'''simple docstring'''







					return key in self.cache







		def 				__A      (   self		,			A  )     ->   U | None:







					'''simple docstring'''







					if key in self.cache:
								self.hits += 1
								lowerCamelCase								=     self.cache[key]
								lowerCamelCase								=     self.list.remove(self.cache[key]  )
								assert node == value_node

								# node is guaranteed not None because it is in self.cache
								assert node is not None
								self.list.add(A  )
								return node.val
					self.miss += 1
					return None







		def 				__A      (   self		,			A		,			A  )     ->   None:







					'''simple docstring'''







					if key not in self.cache:
								if self.num_keys >= self.capacity:
											# delete first node when over capacity
											lowerCamelCase								=     self.list.head.next

											# guaranteed to have a non-None first node when num_keys > 0
											# explain to type checker via assertions
											assert first_node is not None
											assert first_node.key is not None
											assert self.list.remove(A  ) is not None
											# first_node guaranteed to be in list

											del self.cache[first_node.key]
											self.num_keys -= 1
								lowerCamelCase								=     DoubleLinkedListNode(A		,			A  )
								self.list.add(self.cache[key]  )
								self.num_keys += 1

					else:
								lowerCamelCase								=     self.list.remove(self.cache[key]  )
								assert node is not None  # node guaranteed to be in list
								lowerCamelCase								=     value
								self.list.add(A  )







		@classmethod
		def 				__A      (   cls		,			A = 1_28  )     ->   Callable[[Callable[[T], U]], Callable[..., U]]:







					'''simple docstring'''







					def cache_decorator_inner(A  ) -> Callable[..., U]:
								def cache_decorator_wrapper(*A  ) -> U:
											if func not in cls.decorator_function_to_instance_map:
														lowerCamelCase								=     LFUCache(A  )

											lowerCamelCase								=     cls.decorator_function_to_instance_map[func].get(args[0]  )
											if result is None:
														lowerCamelCase								=     func(*A  )
														cls.decorator_function_to_instance_map[func].put(args[0]		,			A  )
											return result

								def cache_info() -> LFUCache[T, U]:
											return cls.decorator_function_to_instance_map[func]

								setattr(A		,			"""cache_info"""		,			A  )  # noqa: B010

								return cache_decorator_wrapper

					return cache_decorator_inner


if __name__ == "__main__":
		import doctest

		doctest.testmod()

