'''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


__lowercase          =  logging.get_logger(__name__)


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

__lowercase          =  {
    '''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'''
        )
    },
}

__lowercase          =  {'''facebook/blenderbot_small-90M''': 5_1_2}






def 				snake_case__							(			_A:					Dict )    ->	int:

		'''simple docstring'''


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

		lowerCAmelCase   					=  set(_A )
		return pairs






class 				a__(					lowerCAmelCase__	):


			'''simple docstring'''






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



			def __init__(   self       ,    __lowerCAmelCase       ,    __lowerCAmelCase       ,    __lowerCAmelCase="__start__"       ,    __lowerCAmelCase="__end__"       ,    __lowerCAmelCase="__unk__"       ,    __lowerCAmelCase="__null__"       ,    **__lowerCAmelCase       ,    ):




					"""simple docstring"""


					super().__init__(unk_token=__lowerCAmelCase       ,    bos_token=__lowerCAmelCase       ,    eos_token=__lowerCAmelCase       ,    pad_token=__lowerCAmelCase       ,    **__lowerCAmelCase)

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



			@property
			def 							a_       (   self):




					"""simple docstring"""


					return len(self.encoder)



			def 							a_       (   self):




					"""simple docstring"""


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



			def 							a_       (   self       ,    __lowerCAmelCase):




					"""simple docstring"""


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

					lowerCAmelCase   					=  token.split(""" """)
					lowerCAmelCase   					=  []
					for token in tokens:
							if not len(__lowerCAmelCase):
									continue

							lowerCAmelCase   					=  token.lower()
							lowerCAmelCase   					=  tuple(__lowerCAmelCase)
							lowerCAmelCase   					=  tuple(list(word[:-1]) + [word[-1] + """</w>"""])
							lowerCAmelCase   					=  get_pairs(__lowerCAmelCase)

							if not pairs:
									words.append(__lowerCAmelCase)
									continue

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

									while i < len(__lowerCAmelCase):
											try:
													lowerCAmelCase   					=  word.index(__lowerCAmelCase       ,    __lowerCAmelCase)
													new_word.extend(word[i:j])
													lowerCAmelCase   					=  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
									lowerCAmelCase   					=  tuple(__lowerCAmelCase)
									lowerCAmelCase   					=  new_word
									if len(__lowerCAmelCase) == 1:
											break
									else:
											lowerCAmelCase   					=  get_pairs(__lowerCAmelCase)
							lowerCAmelCase   					=  """@@ """.join(__lowerCAmelCase)
							lowerCAmelCase   					=  word[:-4]

							lowerCAmelCase   					=  word
							words.append(__lowerCAmelCase)
					return " ".join(__lowerCAmelCase)



			def 							a_       (   self       ,    __lowerCAmelCase):




					"""simple docstring"""


					lowerCAmelCase   					=  []

					lowerCAmelCase   					=  re.findall(r"""\S+\n?"""       ,    __lowerCAmelCase)

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



			def 							a_       (   self       ,    __lowerCAmelCase):




					"""simple docstring"""


					lowerCAmelCase   					=  token.lower()
					return self.encoder.get(__lowerCAmelCase       ,    self.encoder.get(self.unk_token))



			def 							a_       (   self       ,    __lowerCAmelCase):




					"""simple docstring"""


					return self.decoder.get(__lowerCAmelCase       ,    self.unk_token)



			def 							a_       (   self       ,    __lowerCAmelCase):




					"""simple docstring"""


					lowerCAmelCase   					=  """ """.join(__lowerCAmelCase).replace("""@@ """       ,    """""").strip()
					return out_string







			def 							a_       (   self       ,    __lowerCAmelCase       ,    __lowerCAmelCase = None):




					"""simple docstring"""


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

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

					return vocab_file, merge_file





'''simple docstring'''




from string import ascii_lowercase, ascii_uppercase






def 				snake_case__							(			_A:					str )    ->	str:

		'''simple docstring'''


		if not sentence:
				return ""
		lowerCAmelCase   					=  dict(zip(_A      ,   _A ) )
		return lower_to_upper.get(sentence[0]      ,   sentence[0] ) + sentence[1:]


if __name__ == "__main__":
						from doctest import testmod

						testmod()




