





'''simple docstring'''




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


a__					:			str          =     logging.get_logger(__name__)


a__					:			Union[str, Any]          =     {"vocab_file": "vocab.json", "merges_file": "merges.txt"}

# See all BART models at https://huggingface.co/models?filter=bart
a__					:			str          =     {
    "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",
    },
}

a__					:			int          =     {
    "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 						__lowerCamelCase			(	)   ->Optional[Any]:
	snake_case__	       =   (
	    list(range(ord('!'							)					,				ord('~'							) + 1							)							) + list(range(ord('¡'							)					,				ord('¬'							) + 1							)							) + list(range(ord('®'							)					,				ord('ÿ'							) + 1							)							)
	)
	snake_case__	       =   bs[:]
	snake_case__	       =   0
	for b in range(2**8							):
		if b not in bs:
			bs.append(_UpperCamelCase							)
			cs.append(2**8 + n							)
			n += 1
	snake_case__	       =   [chr(_UpperCamelCase							) for n in cs]
	return dict(zip(_UpperCamelCase					,				_UpperCamelCase							)							)




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







class 				__snake_case     (					lowerCAmelCase__							):
	__lowerCAmelCase       						=  VOCAB_FILES_NAMES
	__lowerCAmelCase       						=  PRETRAINED_VOCAB_FILES_MAP
	__lowerCAmelCase       						=  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	__lowerCAmelCase       						=  ["""input_ids""", """attention_mask"""]





	def __init__(		self      ,       UpperCamelCase_      ,       UpperCamelCase_      ,       UpperCamelCase_="replace"      ,       UpperCamelCase_="<s>"      ,       UpperCamelCase_="</s>"      ,       UpperCamelCase_="</s>"      ,       UpperCamelCase_="<s>"      ,       UpperCamelCase_="<unk>"      ,       UpperCamelCase_="<pad>"      ,       UpperCamelCase_="<mask>"      ,       UpperCamelCase_=False      ,       **UpperCamelCase_      ,       )      ->		Optional[Any]:
		snake_case__	       =   AddedToken(__a      ,       lstrip=__a      ,       rstrip=__a		) if isinstance(__a      ,       __a		) else bos_token
		snake_case__	       =   AddedToken(__a      ,       lstrip=__a      ,       rstrip=__a		) if isinstance(__a      ,       __a		) else eos_token
		snake_case__	       =   AddedToken(__a      ,       lstrip=__a      ,       rstrip=__a		) if isinstance(__a      ,       __a		) else sep_token
		snake_case__	       =   AddedToken(__a      ,       lstrip=__a      ,       rstrip=__a		) if isinstance(__a      ,       __a		) else cls_token
		snake_case__	       =   AddedToken(__a      ,       lstrip=__a      ,       rstrip=__a		) if isinstance(__a      ,       __a		) else unk_token
		snake_case__	       =   AddedToken(__a      ,       lstrip=__a      ,       rstrip=__a		) if isinstance(__a      ,       __a		) else pad_token

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

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

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

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





	@property
	def   _snake_case   (		self		)      ->		Optional[Any]:
		return len(self.encoder		)





	def   _snake_case   (		self		)      ->		Dict:
		return dict(self.encoder      ,       **self.added_tokens_encoder		)





	def   _snake_case   (		self      ,       UpperCamelCase_		)      ->		List[Any]:
		if token in self.cache:
			return self.cache[token]
		snake_case__	       =   tuple(__a		)
		snake_case__	       =   get_pairs(__a		)

		if not pairs:
			return token

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

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





	def   _snake_case   (		self      ,       UpperCamelCase_		)      ->		Optional[Any]:
		snake_case__	       =   []
		for token in re.findall(self.pat      ,       __a		):
			snake_case__	       =   ''.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(__a		).split(' '		)		)
		return bpe_tokens





	def   _snake_case   (		self      ,       UpperCamelCase_		)      ->		Union[str, Any]:
		return self.encoder.get(__a      ,       self.encoder.get(self.unk_token		)		)





	def   _snake_case   (		self      ,       UpperCamelCase_		)      ->		List[Any]:
		return self.decoder.get(__a		)





	def   _snake_case   (		self      ,       UpperCamelCase_		)      ->		str:
		snake_case__	       =   ''.join(__a		)
		snake_case__	       =   bytearray([self.byte_decoder[c] for c in text]		).decode('utf-8'      ,       errors=self.errors		)
		return text





	def   _snake_case   (		self      ,       UpperCamelCase_      ,       UpperCamelCase_ = None		)      ->		List[Any]:
		if not os.path.isdir(__a		):
			logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''		)
			return
		snake_case__	       =   os.path.join(
		    __a      ,       (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']		)
		snake_case__	       =   os.path.join(
		    __a      ,       (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']		)

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

		snake_case__	       =   0
		with open(__a      ,       '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 UpperCamelCase_		: 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!'		)
					snake_case__	       =   token_index
				writer.write(' '.join(__a		) + '\n'		)
				index += 1

		return vocab_file, merge_file





	def   _snake_case   (		self      ,       UpperCamelCase_      ,       UpperCamelCase_ = None		)      ->		List[str]:
		if token_ids_a is None:
			return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
		snake_case__	       =   [self.cls_token_id]
		snake_case__	       =   [self.sep_token_id]
		return cls + token_ids_a + sep + sep + token_ids_a + sep





	def   _snake_case   (		self      ,       UpperCamelCase_      ,       UpperCamelCase_ = None      ,       UpperCamelCase_ = False		)      ->		Optional[int]:
		if already_has_special_tokens:
			return super().get_special_tokens_mask(
			    token_ids_a=__a      ,       token_ids_a=__a      ,       already_has_special_tokens=__a		)

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





	def   _snake_case   (		self      ,       UpperCamelCase_      ,       UpperCamelCase_ = None		)      ->		List[Any]:
		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   _snake_case   (		self      ,       UpperCamelCase_      ,       UpperCamelCase_=False      ,       **UpperCamelCase_		)      ->		Tuple:
		snake_case__	       =   kwargs.pop('add_prefix_space'      ,       self.add_prefix_space		)
		if (is_split_into_words or add_prefix_space) and (len(__a		) > 0 and not text[0].isspace()):
			snake_case__	       =   ' ' + text
		return (text, kwargs)







"""simple docstring"""


import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_torch


if is_torch_available():
	import torch

	from transformers.activations import gelu_new, gelu_python, get_activation
@require_torch
class     _UpperCamelCase    (  unittest.TestCase						):
							'''simple docstring'''







							def      snake_case							(	self      ):
										__lowerCAmelCase							       =     torch.tensor([-1_00, -1, -0.1, 0, 0.1, 1.0, 1_00]      )
										__lowerCAmelCase							       =     get_activation("gelu"      )
										self.assertTrue(torch.allclose(gelu_python(__a      )       ,  torch_builtin(__a      )      )      )
										self.assertFalse(torch.allclose(gelu_python(__a      )       ,  gelu_new(__a      )      )      )

							def      snake_case							(	self      ):
										__lowerCAmelCase							       =     torch.tensor([-1_00, -1, -0.1, 0, 0.1, 1.0, 1_00]      )
										__lowerCAmelCase							       =     get_activation("gelu"      )
										__lowerCAmelCase							       =     get_activation("gelu_10"      )

										__lowerCAmelCase							       =     torch_builtin(__a      )
										__lowerCAmelCase							       =     geluaa(__a      )

										__lowerCAmelCase							       =     torch.where(y_gelu_aa < 1_0.0       ,  1       ,  0      )

										self.assertTrue(torch.max(__a      ).item() == 1_0.0      )
										self.assertTrue(torch.allclose(y_gelu * clipped_mask       ,  y_gelu_aa * clipped_mask      )      )

							def      snake_case							(	self      ):
										get_activation("gelu"      )
										get_activation("gelu_10"      )
										get_activation("gelu_fast"      )
										get_activation("gelu_new"      )
										get_activation("gelu_python"      )
										get_activation("gelu_pytorch_tanh"      )
										get_activation("linear"      )
										get_activation("mish"      )
										get_activation("quick_gelu"      )
										get_activation("relu"      )
										get_activation("sigmoid"      )
										get_activation("silu"      )
										get_activation("swish"      )
										get_activation("tanh"      )
										with self.assertRaises(__a      ):
													get_activation("bogus"      )
										with self.assertRaises(__a      ):
													get_activation(__a      )



							def      snake_case							(	self      ):
										__lowerCAmelCase							       =     get_activation("gelu"      )
										__lowerCAmelCase							       =     1
										__lowerCAmelCase							       =     get_activation("gelu"      )
										self.assertEqual(acta.a       ,  1      )
										with self.assertRaises(__a      ):
													__lowerCAmelCase							       =     acta.a




