





"""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


A 			=  logging.get_logger(__name__)


A 			=  {
    '''vocab_file''': '''vocab.json''',
    '''merges_file''': '''merges.txt''',
    '''tokenizer_config_file''': '''tokenizer_config.json''',
}

A 			=  {
    '''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'''
        )
    },
}

A 			=  {'''facebook/blenderbot_small-90M''': 512}

def     __A      (			a_						:Tuple)		->		Union[str, Any]:
				__a :						Optional[int]			       =  set()
				__a :						Any			       =  word[0]
				for char in word[1:]:
								pairs.add((prev_char, char))
								__a :						Union[str, Any]			       =  char

				__a :						Optional[int]			       =  set(a_)
				return pairs






class 				__lowercase			(			_UpperCamelCase							):







					'''simple docstring'''




					__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="__start__"	,			_UpperCAmelCase="__end__"	,			_UpperCAmelCase="__unk__"	,			_UpperCAmelCase="__null__"	,			**_UpperCAmelCase	,			):
									super().__init__(unk_token=_UpperCAmelCase	,			bos_token=_UpperCAmelCase	,			eos_token=_UpperCAmelCase	,			pad_token=_UpperCAmelCase	,			**_UpperCAmelCase     )

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







					@property
					def  _lowerCamelCase		(						self     ):
									return len(self.encoder     )







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







					def  _lowerCamelCase		(						self	,			_UpperCAmelCase     ):
									if token in self.cache:
													return self.cache[token]
									__a :						Optional[int]			       =  re.sub('''([.,!?()])'''	,			R''' \1'''	,			_UpperCAmelCase     )
									__a :						List[Any]			       =  re.sub('''(\')'''	,			R''' \1 '''	,			_UpperCAmelCase     )
									__a :						Dict			       =  re.sub(R'''\s{2,}'''	,			''' '''	,			_UpperCAmelCase     )
									if "\n" in token:
													__a :						Union[str, Any]			       =  token.replace('''\n'''	,			''' __newln__'''     )

									__a :						List[Any]			       =  token.split(''' '''     )
									__a :						Tuple			       =  []
									for token in tokens:
													if not len(_UpperCAmelCase     ):
																	continue

													__a :						List[Any]			       =  token.lower()
													__a :						Union[str, Any]			       =  tuple(_UpperCAmelCase     )
													__a :						int			       =  tuple(list(word[:-1]     ) + [word[-1] + '''</w>''']     )
													__a :						List[Any]			       =  get_pairs(_UpperCAmelCase     )

													if not pairs:
																	words.append(_UpperCAmelCase     )
																	continue

													while True:
																	__a :						Dict			       =  min(_UpperCAmelCase	,			key=lambda _UpperCAmelCase     : self.bpe_ranks.get(_UpperCAmelCase	,			float('''inf'''     )     )     )
																	if bigram not in self.bpe_ranks:
																					break
																	__a       ,						__a :						Dict			       =  bigram
																	__a :						str			       =  []
																	__a :						Optional[Any]			       =  0

																	while i < len(_UpperCAmelCase     ):
																					try:
																									__a :						Any			       =  word.index(_UpperCAmelCase	,			_UpperCAmelCase     )
																									new_word.extend(word[i:j]     )
																									__a :						Tuple			       =  j
																					except ValueError:
																									new_word.extend(word[i:]     )
																									break

																					if word[i] == first and i < len(_UpperCAmelCase     ) - 1 and word[i + 1] == second:
																									new_word.append(first + second     )
																									i += 2
																					else:
																									new_word.append(word[i]     )
																									i += 1
																	__a :						Union[str, Any]			       =  tuple(_UpperCAmelCase     )
																	__a :						Tuple			       =  new_word
																	if len(_UpperCAmelCase     ) == 1:
																					break
																	else:
																					__a :						Dict			       =  get_pairs(_UpperCAmelCase     )
													__a :						Union[str, Any]			       =  '''@@ '''.join(_UpperCAmelCase     )
													__a :						List[str]			       =  word[:-4]

													__a :						int			       =  word
													words.append(_UpperCAmelCase     )
									return " ".join(_UpperCAmelCase     )







					def  _lowerCamelCase		(						self	,			_UpperCAmelCase     ):
									__a :						List[Any]			       =  []

									__a :						str			       =  re.findall(R'''\S+\n?'''	,			_UpperCAmelCase     )

									for token in words:
													split_tokens.extend(list(self.bpe(_UpperCAmelCase     ).split(''' '''     )     )     )
									return split_tokens







					def  _lowerCamelCase		(						self	,			_UpperCAmelCase     ):
									__a :						Dict			       =  token.lower()
									return self.encoder.get(_UpperCAmelCase	,			self.encoder.get(self.unk_token     )     )







					def  _lowerCamelCase		(						self	,			_UpperCAmelCase     ):
									return self.decoder.get(_UpperCAmelCase	,			self.unk_token     )







					def  _lowerCamelCase		(						self	,			_UpperCAmelCase     ):
									__a :						List[Any]			       =  ''' '''.join(_UpperCAmelCase     ).replace('''@@ '''	,			''''''     ).strip()
									return out_string







					def  _lowerCamelCase		(						self	,			_UpperCAmelCase	,			_UpperCAmelCase = None     ):
									if not os.path.isdir(_UpperCAmelCase     ):
													logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""     )
													return
									__a :						int			       =  os.path.join(
									    _UpperCAmelCase	,			(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']     )
									__a :						Optional[Any]			       =  os.path.join(
									    _UpperCAmelCase	,			(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file''']     )

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

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

									return vocab_file, merge_file






"""simple docstring"""






import json
import os
import unittest

from transformers import OpenAIGPTTokenizer, OpenAIGPTTokenizerFast
from transformers.models.openai.tokenization_openai import VOCAB_FILES_NAMES
from transformers.testing_utils import require_ftfy, require_spacy, require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin




@require_tokenizers
class 				__lowercase			(			_UpperCamelCase   ,      unittest.TestCase							):







					'''simple docstring'''




					__lowerCAmelCase  =  OpenAIGPTTokenizer
					__lowerCAmelCase  =  OpenAIGPTTokenizerFast
					__lowerCAmelCase  =  True
					__lowerCAmelCase  =  False







					def  _lowerCamelCase		(						self     ):
									super().setUp()

									# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
									__a :						List[str]			       =  [
									    '''l''',
									    '''o''',
									    '''w''',
									    '''e''',
									    '''r''',
									    '''s''',
									    '''t''',
									    '''i''',
									    '''d''',
									    '''n''',
									    '''w</w>''',
									    '''r</w>''',
									    '''t</w>''',
									    '''lo''',
									    '''low''',
									    '''er</w>''',
									    '''low</w>''',
									    '''lowest</w>''',
									    '''newer</w>''',
									    '''wider</w>''',
									    '''<unk>''',
									]
									__a :						str			       =  dict(zip(_UpperCAmelCase	,			range(len(_UpperCAmelCase     )     )     )     )
									__a :						List[Any]			       =  ['''#version: 0.2''', '''l o''', '''lo w''', '''e r</w>''', '''''']

									__a :						Union[str, Any]			       =  os.path.join(self.tmpdirname	,			VOCAB_FILES_NAMES['''vocab_file''']     )
									__a :						Dict			       =  os.path.join(self.tmpdirname	,			VOCAB_FILES_NAMES['''merges_file''']     )
									with open(self.vocab_file	,			'''w'''     ) as fp:
													fp.write(json.dumps(_UpperCAmelCase     )     )
									with open(self.merges_file	,			'''w'''     ) as fp:
													fp.write('''\n'''.join(_UpperCAmelCase     )     )







					def  _lowerCamelCase		(						self	,			_UpperCAmelCase     ):
									return "lower newer", "lower newer"







					def  _lowerCamelCase		(						self     ):
									__a :						Tuple			       =  OpenAIGPTTokenizer(self.vocab_file	,			self.merges_file     )

									__a :						Tuple			       =  '''lower'''
									__a :						Union[str, Any]			       =  ['''low''', '''er</w>''']
									__a :						str			       =  tokenizer.tokenize(_UpperCAmelCase     )
									self.assertListEqual(_UpperCAmelCase	,			_UpperCAmelCase     )

									__a :						List[Any]			       =  tokens + ['''<unk>''']
									__a :						Tuple			       =  [14, 15, 20]
									self.assertListEqual(tokenizer.convert_tokens_to_ids(_UpperCAmelCase     )	,			_UpperCAmelCase     )







					def  _lowerCamelCase		(						self	,			_UpperCAmelCase=15     ):
									for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
													with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""     ):
																	__a :						Any			       =  self.rust_tokenizer_class.from_pretrained(_UpperCAmelCase	,			**_UpperCAmelCase     )

																	# Simple input
																	__a :						str			       =  '''This is a simple input'''
																	__a :						Dict			       =  ['''This is a simple input 1''', '''This is a simple input 2''']
																	__a :						List[Any]			       =  ('''This is a simple input''', '''This is a pair''')
																	__a :						Optional[Any]			       =  [
																	    ('''This is a simple input 1''', '''This is a simple input 2'''),
																	    ('''This is a simple pair 1''', '''This is a simple pair 2'''),
																	]

																	# Simple input tests
																	self.assertRaises(_UpperCAmelCase	,			tokenizer_r.encode	,			_UpperCAmelCase	,			max_length=_UpperCAmelCase	,			padding='''max_length'''     )

																	# Simple input
																	self.assertRaises(_UpperCAmelCase	,			tokenizer_r.encode_plus	,			_UpperCAmelCase	,			max_length=_UpperCAmelCase	,			padding='''max_length'''     )

																	# Simple input
																	self.assertRaises(
																	    _UpperCAmelCase	,			tokenizer_r.batch_encode_plus	,			_UpperCAmelCase	,			max_length=_UpperCAmelCase	,			padding='''max_length'''	,			)

																	# Pair input
																	self.assertRaises(_UpperCAmelCase	,			tokenizer_r.encode	,			_UpperCAmelCase	,			max_length=_UpperCAmelCase	,			padding='''max_length'''     )

																	# Pair input
																	self.assertRaises(_UpperCAmelCase	,			tokenizer_r.encode_plus	,			_UpperCAmelCase	,			max_length=_UpperCAmelCase	,			padding='''max_length'''     )

																	# Pair input
																	self.assertRaises(
																	    _UpperCAmelCase	,			tokenizer_r.batch_encode_plus	,			_UpperCAmelCase	,			max_length=_UpperCAmelCase	,			padding='''max_length'''	,			)







					def  _lowerCamelCase		(						self     ):
									pass






@require_ftfy
@require_spacy
@require_tokenizers
class 				__lowercase			(			_UpperCamelCase							):







					'''simple docstring'''




					pass