



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


SCREAMING_SNAKE_CASE     				=						logging.get_logger(__name__)


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

# See all BART models at https://huggingface.co/models?filter=bart
SCREAMING_SNAKE_CASE     				=						{
    "vocab_file": {
        "facebook/bart-base": "https://huggingface.co/facebook/bart-base/resolve/main/vocab.json",
        "facebook/bart-large": "https://huggingface.co/facebook/bart-large/resolve/main/vocab.json",
        "facebook/bart-large-mnli": "https://huggingface.co/facebook/bart-large-mnli/resolve/main/vocab.json",
        "facebook/bart-large-cnn": "https://huggingface.co/facebook/bart-large-cnn/resolve/main/vocab.json",
        "facebook/bart-large-xsum": "https://huggingface.co/facebook/bart-large-xsum/resolve/main/vocab.json",
        "yjernite/bart_eli5": "https://huggingface.co/yjernite/bart_eli5/resolve/main/vocab.json",
    },
    "merges_file": {
        "facebook/bart-base": "https://huggingface.co/facebook/bart-base/resolve/main/merges.txt",
        "facebook/bart-large": "https://huggingface.co/facebook/bart-large/resolve/main/merges.txt",
        "facebook/bart-large-mnli": "https://huggingface.co/facebook/bart-large-mnli/resolve/main/merges.txt",
        "facebook/bart-large-cnn": "https://huggingface.co/facebook/bart-large-cnn/resolve/main/merges.txt",
        "facebook/bart-large-xsum": "https://huggingface.co/facebook/bart-large-xsum/resolve/main/merges.txt",
        "yjernite/bart_eli5": "https://huggingface.co/yjernite/bart_eli5/resolve/main/merges.txt",
    },
}

SCREAMING_SNAKE_CASE     				=						{
    "facebook/bart-base": 1024,
    "facebook/bart-large": 1024,
    "facebook/bart-large-mnli": 1024,
    "facebook/bart-large-cnn": 1024,
    "facebook/bart-large-xsum": 1024,
    "yjernite/bart_eli5": 1024,
}







@lru_cache()
def snake_case__  (			)		->							Tuple:
		UpperCAmelCase_						=				(
		    list(range(ord("!" )			,     ord("~" ) + 1 ) ) + list(range(ord("¡" )			,     ord("¬" ) + 1 ) ) + list(range(ord("®" )			,     ord("ÿ" ) + 1 ) )
		)
		UpperCAmelCase_						=				bs[:]
		UpperCAmelCase_						=				0
		for b in range(2**8 ):
				if b not in bs:
						bs.append(__SCREAMING_SNAKE_CASE )
						cs.append(2**8 + n )
						n += 1
		UpperCAmelCase_						=				[chr(__SCREAMING_SNAKE_CASE ) for n in cs]
		return dict(zip(__SCREAMING_SNAKE_CASE			,     __SCREAMING_SNAKE_CASE ) )







def snake_case__  (			__SCREAMING_SNAKE_CASE )		->							Optional[int]:
		UpperCAmelCase_						=				set()
		UpperCAmelCase_						=				word[0]
		for char in word[1:]:
				pairs.add((prev_char, char) )
				UpperCAmelCase_						=				char
		return pairs



class 	lowerCamelCase      (						lowercase__  ):







					'''simple docstring'''







					lowerCAmelCase_				:    int									=  VOCAB_FILES_NAMES
					lowerCAmelCase_				:    Optional[Any]									=  PRETRAINED_VOCAB_FILES_MAP
					lowerCAmelCase_				:    Any									=  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					lowerCAmelCase_				:    str									=  ['input_ids', 'attention_mask']



					def __init__(			self    ,	lowerCAmelCase    ,	lowerCAmelCase    ,	lowerCAmelCase="replace"    ,	lowerCAmelCase="<s>"    ,	lowerCAmelCase="</s>"    ,	lowerCAmelCase="</s>"    ,	lowerCAmelCase="<s>"    ,	lowerCAmelCase="<unk>"    ,	lowerCAmelCase="<pad>"    ,	lowerCAmelCase="<mask>"    ,	lowerCAmelCase=False    ,	**lowerCAmelCase    ,	):
							UpperCAmelCase_						=				AddedToken(lowerCAmelCase    ,	lstrip=lowerCAmelCase    ,	rstrip=lowerCAmelCase     ) if isinstance(lowerCAmelCase    ,	lowerCAmelCase     ) else bos_token
							UpperCAmelCase_						=				AddedToken(lowerCAmelCase    ,	lstrip=lowerCAmelCase    ,	rstrip=lowerCAmelCase     ) if isinstance(lowerCAmelCase    ,	lowerCAmelCase     ) else eos_token
							UpperCAmelCase_						=				AddedToken(lowerCAmelCase    ,	lstrip=lowerCAmelCase    ,	rstrip=lowerCAmelCase     ) if isinstance(lowerCAmelCase    ,	lowerCAmelCase     ) else sep_token
							UpperCAmelCase_						=				AddedToken(lowerCAmelCase    ,	lstrip=lowerCAmelCase    ,	rstrip=lowerCAmelCase     ) if isinstance(lowerCAmelCase    ,	lowerCAmelCase     ) else cls_token
							UpperCAmelCase_						=				AddedToken(lowerCAmelCase    ,	lstrip=lowerCAmelCase    ,	rstrip=lowerCAmelCase     ) if isinstance(lowerCAmelCase    ,	lowerCAmelCase     ) else unk_token
							UpperCAmelCase_						=				AddedToken(lowerCAmelCase    ,	lstrip=lowerCAmelCase    ,	rstrip=lowerCAmelCase     ) if isinstance(lowerCAmelCase    ,	lowerCAmelCase     ) else pad_token

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

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

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

							# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
							UpperCAmelCase_						=				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     ):
							return len(self.encoder     )



					def    A__		(			self     ):
							return dict(self.encoder    ,	**self.added_tokens_encoder     )



					def    A__		(			self    ,	lowerCAmelCase     ):
							if token in self.cache:
									return self.cache[token]
							UpperCAmelCase_						=				tuple(lowerCAmelCase     )
							UpperCAmelCase_						=				get_pairs(lowerCAmelCase     )

							if not pairs:
									return token

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

											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
									UpperCAmelCase_						=				tuple(lowerCAmelCase     )
									UpperCAmelCase_						=				new_word
									if len(lowerCAmelCase     ) == 1:
											break
									else:
											UpperCAmelCase_						=				get_pairs(lowerCAmelCase     )
							UpperCAmelCase_						=				" ".join(lowerCAmelCase     )
							UpperCAmelCase_						=				word
							return word



					def    A__		(			self    ,	lowerCAmelCase     ):
							UpperCAmelCase_						=				[]
							for token in re.findall(self.pat    ,	lowerCAmelCase     ):
									UpperCAmelCase_						=				"".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(lowerCAmelCase     ).split(" "     )     )
							return bpe_tokens



					def    A__		(			self    ,	lowerCAmelCase     ):
							return self.encoder.get(lowerCAmelCase    ,	self.encoder.get(self.unk_token     )     )



					def    A__		(			self    ,	lowerCAmelCase     ):
							return self.decoder.get(lowerCAmelCase     )



					def    A__		(			self    ,	lowerCAmelCase     ):
							UpperCAmelCase_						=				"".join(lowerCAmelCase     )
							UpperCAmelCase_						=				bytearray([self.byte_decoder[c] for c in text]     ).decode("utf-8"    ,	errors=self.errors     )
							return text



					def    A__		(			self    ,	lowerCAmelCase    ,	lowerCAmelCase = None     ):
							if not os.path.isdir(lowerCAmelCase     ):
									logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''     )
									return
							UpperCAmelCase_						=				os.path.join(
							    lowerCAmelCase    ,	(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]     )
							UpperCAmelCase_						=				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"     )

							UpperCAmelCase_						=				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 lowerCAmelCase     : 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!"     )
													UpperCAmelCase_						=				token_index
											writer.write(" ".join(lowerCAmelCase     ) + "\n"     )
											index += 1

							return vocab_file, merge_file



					def    A__		(			self    ,	lowerCAmelCase    ,	lowerCAmelCase = None     ):
							if token_ids_a is None:
									return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
							UpperCAmelCase_						=				[self.cls_token_id]
							UpperCAmelCase_						=				[self.sep_token_id]
							return cls + token_ids_a + sep + sep + token_ids_a + sep



					def    A__		(			self    ,	lowerCAmelCase    ,	lowerCAmelCase = None    ,	lowerCAmelCase = False     ):
							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, 1] + ([0] * len(lowerCAmelCase     )) + [1]



					def    A__		(			self    ,	lowerCAmelCase    ,	lowerCAmelCase = None     ):
							UpperCAmelCase_						=				[self.sep_token_id]
							UpperCAmelCase_						=				[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    ,	lowerCAmelCase    ,	lowerCAmelCase=False    ,	**lowerCAmelCase     ):
							UpperCAmelCase_						=				kwargs.pop("add_prefix_space"    ,	self.add_prefix_space     )
							if (is_split_into_words or add_prefix_space) and (len(lowerCAmelCase     ) > 0 and not text[0].isspace()):
									UpperCAmelCase_						=				" " + text
							return (text, kwargs)






from typing import Optional, Union

import torch
from torch import nn

from ...configuration_utils import ConfigMixin, register_to_config
from ...models.modeling_utils import ModelMixin



class 	lowerCamelCase      (						lowercase__,     lowercase__  ):







					'''simple docstring'''







					@register_to_config
					def __init__(			self    ,	lowerCAmelCase = 768    ,	):
							super().__init__()

							UpperCAmelCase_						=				nn.Parameter(torch.zeros(1    ,	lowerCAmelCase     )     )
							UpperCAmelCase_						=				nn.Parameter(torch.ones(1    ,	lowerCAmelCase     )     )



					def    A__		(			self    ,	lowerCAmelCase = None    ,	lowerCAmelCase = None    ,	):
							UpperCAmelCase_						=				nn.Parameter(self.mean.to(lowerCAmelCase     ).to(lowerCAmelCase     )     )
							UpperCAmelCase_						=				nn.Parameter(self.std.to(lowerCAmelCase     ).to(lowerCAmelCase     )     )
							return self



					def    A__		(			self    ,	lowerCAmelCase     ):
							UpperCAmelCase_						=				(embeds - self.mean) * 1.0 / self.std
							return embeds



					def    A__		(			self    ,	lowerCAmelCase     ):
							UpperCAmelCase_						=				(embeds * self.std) + self.mean
							return embeds

