
import unittest

from transformers import DebertaVaTokenizer, DebertaVaTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin


_UpperCAmelCase      :				List[Any]          = get_tests_dir("fixtures/spiece.model")


@require_sentencepiece
@require_tokenizers
class        lowercase      (	_SCREAMING_SNAKE_CASE						,     unittest.TestCase     ):
		__lowercase : Dict			  =       DebertaVaTokenizer
		__lowercase : Tuple			  =       DebertaVaTokenizerFast
		__lowercase : str			  =       True
		__lowercase : Optional[int]			  =       True



		def __UpperCamelCase				(				self )						->      int:
				"""simple docstring"""
				super().setUp()

				# We have a SentencePiece fixture for testing
				UpperCamelCase						=  DebertaVaTokenizer(A_       ,   unk_token='<unk>' )
				tokenizer.save_pretrained(self.tmpdirname )



		def __UpperCamelCase				(				self       ,   A_ )						->      List[str]:
				"""simple docstring"""
				UpperCamelCase						=  'this is a test'
				UpperCamelCase						=  'this is a test'
				return input_text, output_text



		def __UpperCamelCase				(				self )						->      List[str]:
				"""simple docstring"""
				UpperCamelCase						=  '<pad>'
				UpperCamelCase						=  0

				self.assertEqual(self.get_tokenizer()._convert_token_to_id(A_ )       ,   A_ )
				self.assertEqual(self.get_tokenizer()._convert_id_to_token(A_ )       ,   A_ )



		def __UpperCamelCase				(				self )						->      Dict:
				"""simple docstring"""
				UpperCamelCase						=  list(self.get_tokenizer().get_vocab().keys() )
				self.assertEqual(vocab_keys[0]       ,   '<pad>' )
				self.assertEqual(vocab_keys[1]       ,   '<unk>' )
				self.assertEqual(vocab_keys[-1]       ,   '[PAD]' )
				self.assertEqual(len(A_ )       ,   30_001 )



		def __UpperCamelCase				(				self )						->      Any:
				"""simple docstring"""
				self.assertEqual(self.get_tokenizer().vocab_size       ,   30_000 )



		def __UpperCamelCase				(				self )						->      Any:
				"""simple docstring"""
				# fmt: off
				UpperCamelCase						=  ' \tHeLLo!how  \n Are yoU?  '
				UpperCamelCase						=  ['▁hello', '!', 'how', '▁are', '▁you', '?']
				# fmt: on

				UpperCamelCase						=  DebertaVaTokenizer(A_       ,   do_lower_case=A_ )
				UpperCamelCase						=  tokenizer.convert_ids_to_tokens(tokenizer.encode(A_       ,   add_special_tokens=A_ ) )

				self.assertListEqual(A_       ,   A_ )

				UpperCamelCase						=  DebertaVaTokenizerFast(A_       ,   do_lower_case=A_ )
				UpperCamelCase						=  rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(A_       ,   add_special_tokens=A_ ) )

				self.assertListEqual(A_       ,   A_ )



		@unittest.skip('There is an inconsistency between slow and fast tokenizer due to a bug in the fast one.' )
		def __UpperCamelCase				(				self )						->      List[Any]:
				"""simple docstring"""
				pass



		@unittest.skip('There is an inconsistency between slow and fast tokenizer due to a bug in the fast one.' )
		def __UpperCamelCase				(				self )						->      str:
				"""simple docstring"""
				pass



		def __UpperCamelCase				(				self )						->      List[Any]:
				"""simple docstring"""
				# fmt: off
				UpperCamelCase						=  'I was born in 92000, and this is falsé.'
				UpperCamelCase						=  ['▁', '<unk>', '▁was', '▁born', '▁in', '▁9', '2000', '▁', ',', '▁and', '▁this', '▁is', '▁fal', 's', '<unk>', '▁', '.', ]
				# fmt: on

				UpperCamelCase						=  DebertaVaTokenizer(A_       ,   split_by_punct=A_ )
				UpperCamelCase						=  tokenizer.convert_ids_to_tokens(tokenizer.encode(A_       ,   add_special_tokens=A_ ) )

				self.assertListEqual(A_       ,   A_ )

				UpperCamelCase						=  DebertaVaTokenizerFast(A_       ,   split_by_punct=A_ )
				UpperCamelCase						=  rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(A_       ,   add_special_tokens=A_ ) )

				self.assertListEqual(A_       ,   A_ )



		def __UpperCamelCase				(				self )						->      List[str]:
				"""simple docstring"""
				# fmt: off
				UpperCamelCase						=  'I was born in 92000, and this is falsé.'
				UpperCamelCase						=  ['▁i', '▁was', '▁born', '▁in', '▁9', '2000', '▁', ',', '▁and', '▁this', '▁is', '▁fal', 's', '<unk>', '▁', '.', ]
				# fmt: on

				UpperCamelCase						=  DebertaVaTokenizer(A_       ,   do_lower_case=A_       ,   split_by_punct=A_ )
				UpperCamelCase						=  tokenizer.convert_ids_to_tokens(tokenizer.encode(A_       ,   add_special_tokens=A_ ) )
				self.assertListEqual(A_       ,   A_ )

				UpperCamelCase						=  DebertaVaTokenizerFast(A_       ,   do_lower_case=A_       ,   split_by_punct=A_ )
				UpperCamelCase						=  rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(A_       ,   add_special_tokens=A_ ) )
				self.assertListEqual(A_       ,   A_ )



		def __UpperCamelCase				(				self )						->      Union[str, Any]:
				"""simple docstring"""
				# fmt: off
				UpperCamelCase						=  'I was born in 92000, and this is falsé.'
				UpperCamelCase						=  ['▁i', '▁was', '▁born', '▁in', '▁9', '2000', ',', '▁and', '▁this', '▁is', '▁fal', 's', '<unk>', '.', ]
				# fmt: on

				UpperCamelCase						=  DebertaVaTokenizer(A_       ,   do_lower_case=A_       ,   split_by_punct=A_ )
				UpperCamelCase						=  tokenizer.convert_ids_to_tokens(tokenizer.encode(A_       ,   add_special_tokens=A_ ) )

				self.assertListEqual(A_       ,   A_ )

				UpperCamelCase						=  DebertaVaTokenizerFast(A_       ,   do_lower_case=A_       ,   split_by_punct=A_ )
				UpperCamelCase						=  rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(A_       ,   add_special_tokens=A_ ) )

				self.assertListEqual(A_       ,   A_ )



		def __UpperCamelCase				(				self )						->      Dict:
				"""simple docstring"""
				# fmt: off
				UpperCamelCase						=  'I was born in 92000, and this is falsé.'
				UpperCamelCase						=  ['▁', '<unk>', '▁was', '▁born', '▁in', '▁9', '2000', '▁', ',', '▁and', '▁this', '▁is', '▁fal', 's', '<unk>', '▁', '.', ]
				# fmt: on

				UpperCamelCase						=  DebertaVaTokenizer(A_       ,   do_lower_case=A_       ,   split_by_punct=A_ )
				UpperCamelCase						=  tokenizer.convert_ids_to_tokens(tokenizer.encode(A_       ,   add_special_tokens=A_ ) )

				self.assertListEqual(A_       ,   A_ )

				UpperCamelCase						=  DebertaVaTokenizerFast(A_       ,   do_lower_case=A_       ,   split_by_punct=A_ )
				UpperCamelCase						=  rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(A_       ,   add_special_tokens=A_ ) )

				self.assertListEqual(A_       ,   A_ )



		def __UpperCamelCase				(				self )						->      Optional[Any]:
				"""simple docstring"""
				# fmt: off
				UpperCamelCase						=  ' \tHeLLo!how  \n Are yoU?  '
				UpperCamelCase						=  ['▁', '<unk>', 'e', '<unk>', 'o', '!', 'how', '▁', '<unk>', 're', '▁yo', '<unk>', '?']
				# fmt: on

				UpperCamelCase						=  DebertaVaTokenizer(A_       ,   do_lower_case=A_       ,   split_by_punct=A_ )
				UpperCamelCase						=  tokenizer.convert_ids_to_tokens(tokenizer.encode(A_       ,   add_special_tokens=A_ ) )

				self.assertListEqual(A_       ,   A_ )

				UpperCamelCase						=  DebertaVaTokenizerFast(A_       ,   do_lower_case=A_       ,   split_by_punct=A_ )
				UpperCamelCase						=  rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(A_       ,   add_special_tokens=A_ ) )

				self.assertListEqual(A_       ,   A_ )



		def __UpperCamelCase				(				self )						->      int:
				"""simple docstring"""
				UpperCamelCase						=  self.get_tokenizer()
				UpperCamelCase						=  self.get_rust_tokenizer()

				UpperCamelCase						=  'I was born in 92000, and this is falsé.'

				UpperCamelCase						=  tokenizer.convert_ids_to_tokens(tokenizer.encode(A_       ,   add_special_tokens=A_ ) )
				UpperCamelCase						=  rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(A_       ,   add_special_tokens=A_ ) )
				self.assertListEqual(A_       ,   A_ )

				UpperCamelCase						=  tokenizer.encode(A_       ,   add_special_tokens=A_ )
				UpperCamelCase						=  rust_tokenizer.encode(A_       ,   add_special_tokens=A_ )
				self.assertListEqual(A_       ,   A_ )

				UpperCamelCase						=  self.get_rust_tokenizer()
				UpperCamelCase						=  tokenizer.encode(A_ )
				UpperCamelCase						=  rust_tokenizer.encode(A_ )
				self.assertListEqual(A_       ,   A_ )



		def __UpperCamelCase				(				self )						->      Union[str, Any]:
				"""simple docstring"""
				UpperCamelCase						=  'This is a test'
				UpperCamelCase						=  [13, 1, 4_398, 25, 21, 1_289]
				UpperCamelCase						=  ['▁', 'T', 'his', '▁is', '▁a', '▁test']
				UpperCamelCase						=  ['▁', '<unk>', 'his', '▁is', '▁a', '▁test']

				UpperCamelCase						=  DebertaVaTokenizer(A_       ,   keep_accents=A_ )
				UpperCamelCase						=  DebertaVaTokenizerFast(A_       ,   keep_accents=A_ )

				UpperCamelCase						=  tokenizer.encode(A_       ,   add_special_tokens=A_ )
				self.assertListEqual(A_       ,   A_ )
				UpperCamelCase						=  tokenizer.tokenize(A_ )
				self.assertListEqual(A_       ,   A_ )
				UpperCamelCase						=  tokenizer.convert_ids_to_tokens(A_ )
				self.assertListEqual(A_       ,   A_ )

				UpperCamelCase						=  rust_tokenizer.encode(A_       ,   add_special_tokens=A_ )
				self.assertListEqual(A_       ,   A_ )
				UpperCamelCase						=  rust_tokenizer.tokenize(A_ )
				self.assertListEqual(A_       ,   A_ )
				UpperCamelCase						=  rust_tokenizer.convert_ids_to_tokens(A_ )
				self.assertListEqual(A_       ,   A_ )

				# fmt: off
				UpperCamelCase						=  'I was born in 92000, and this is falsé.'
				UpperCamelCase						=  [13, 1, 23, 386, 19, 561, 3_050, 15, 17, 48, 25, 8_256, 18, 1, 9]
				UpperCamelCase						=  ['▁', 'I', '▁was', '▁born', '▁in', '▁9', '2000', ',', '▁and', '▁this', '▁is', '▁fal', 's', 'é', '.', ]
				UpperCamelCase						=  ['▁', '<unk>', '▁was', '▁born', '▁in', '▁9', '2000', ',', '▁and', '▁this', '▁is', '▁fal', 's', '<unk>', '.', ]
				# fmt: on

				UpperCamelCase						=  tokenizer.encode(A_       ,   add_special_tokens=A_ )
				self.assertListEqual(A_       ,   A_ )
				UpperCamelCase						=  tokenizer.tokenize(A_ )
				self.assertListEqual(A_       ,   A_ )
				UpperCamelCase						=  tokenizer.convert_ids_to_tokens(A_ )
				self.assertListEqual(A_       ,   A_ )

				UpperCamelCase						=  rust_tokenizer.encode(A_       ,   add_special_tokens=A_ )
				self.assertListEqual(A_       ,   A_ )
				UpperCamelCase						=  rust_tokenizer.tokenize(A_ )
				self.assertListEqual(A_       ,   A_ )
				UpperCamelCase						=  rust_tokenizer.convert_ids_to_tokens(A_ )
				self.assertListEqual(A_       ,   A_ )



		def __UpperCamelCase				(				self )						->      int:
				"""simple docstring"""
				UpperCamelCase						=  DebertaVaTokenizer(A_ )

				UpperCamelCase						=  tokenizer.encode('sequence builders' )
				UpperCamelCase						=  tokenizer.encode('multi-sequence build' )

				UpperCamelCase						=  tokenizer.build_inputs_with_special_tokens(A_ )
				UpperCamelCase						=  tokenizer.build_inputs_with_special_tokens(A_       ,   A_ )

				self.assertEqual([tokenizer.cls_token_id] + text + [tokenizer.sep_token_id]       ,   A_ )
				self.assertEqual(
				    [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id] + text_a + [tokenizer.sep_token_id]       ,   A_       ,   )



		@slow
		def __UpperCamelCase				(				self )						->      Any:
				"""simple docstring"""
				# fmt: off
				UpperCamelCase						=  {'input_ids': [[1, 39_867, 36, 19_390, 486, 27, 35_052, 81_436, 18, 60_685, 1_225, 7, 35_052, 81_436, 18, 9_367, 16_899, 18, 15_937, 53, 594, 773, 18, 16_287, 30_465, 36, 15_937, 6, 41_139, 38, 36_979, 60_763, 191, 6, 34_132, 99, 6, 50_538, 390, 43_230, 6, 34_132, 2_779, 20_850, 14, 699, 1_072, 1_194, 36, 382, 10_901, 53, 7, 699, 1_072, 2_084, 36, 20_422, 630, 53, 19, 105, 3_049, 1_896, 1_053, 16_899, 1_506, 11, 37_978, 4_243, 7, 1_237, 31_869, 200, 16_566, 654, 6, 35_052, 81_436, 7, 55_630, 13_593, 4, 2], [1, 26, 15_011, 13, 667, 8, 1_053, 18, 23_611, 1_237, 72_356, 12_820, 34, 104_134, 1_209, 35, 13_313, 6_627, 21, 202, 347, 7, 164, 2_399, 11, 46, 4_485, 4, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 5, 1_232, 2_864, 15_785, 14_951, 105, 5, 8_581, 1_250, 4, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], 'token_type_ids': [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], 'attention_mask': [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
				# fmt: on

				self.tokenizer_integration_test_util(
				    expected_encoding=A_       ,   model_name='microsoft/deberta-v2-xlarge'       ,   revision='ad6e42c1532ddf3a15c39246b63f5559d558b670'       ,   )


import json
import os
from typing import Dict, List, Optional, Tuple

import regex as re

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


_UpperCAmelCase      :				Dict          = logging.get_logger(__name__)


_UpperCAmelCase      :				Optional[Any]          = {
    "vocab_file": "vocab.json",
    "merges_file": "merges.txt",
    "tokenizer_config_file": "tokenizer_config.json",
}

_UpperCAmelCase      :				str          = {
    "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"
        )
    },
}

_UpperCAmelCase      :				List[str]          = {"facebook/blenderbot_small-90M": 512}


def    A (      lowercase				)     ->						Optional[Any]:
		'''simple docstring'''

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

		UpperCamelCase						=  set(lowercase				)
		return pairs


class        lowercase      (	_SCREAMING_SNAKE_CASE     ):
		__lowercase : Optional[Any]			  =       VOCAB_FILES_NAMES
		__lowercase : Tuple			  =       PRETRAINED_VOCAB_FILES_MAP
		__lowercase : List[Any]			  =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		__lowercase : Any			  =       ["input_ids", "attention_mask"]



		def __init__(				self       ,   A_       ,   A_       ,   A_="__start__"       ,   A_="__end__"       ,   A_="__unk__"       ,   A_="__null__"       ,   **A_       ,   )						->      List[Any]:
				"""simple docstring"""
				super().__init__(unk_token=A_       ,   bos_token=A_       ,   eos_token=A_       ,   pad_token=A_       ,   **A_ )

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



		@property
		def __UpperCamelCase				(				self )						->      int:
				"""simple docstring"""
				return len(self.encoder )



		def __UpperCamelCase				(				self )						->      Dict:
				"""simple docstring"""
				return dict(self.encoder       ,   **self.added_tokens_encoder )



		def __UpperCamelCase				(				self       ,   A_ )						->      str:
				"""simple docstring"""
				if token in self.cache:
						return self.cache[token]
				UpperCamelCase						=  re.sub('([.,!?()])'       ,   r' \1'       ,   A_ )
				UpperCamelCase						=  re.sub('(\')'       ,   r' \1 '       ,   A_ )
				UpperCamelCase						=  re.sub(r'\s{2,}'       ,   ' '       ,   A_ )
				if "\n" in token:
						UpperCamelCase						=  token.replace('\n'       ,   ' __newln__' )

				UpperCamelCase						=  token.split(' ' )
				UpperCamelCase						=  []
				for token in tokens:
						if not len(A_ ):
								continue

						UpperCamelCase						=  token.lower()
						UpperCamelCase						=  tuple(A_ )
						UpperCamelCase						=  tuple(list(word[:-1] ) + [word[-1] + '</w>'] )
						UpperCamelCase						=  get_pairs(A_ )

						if not pairs:
								words.append(A_ )
								continue

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

								while i < len(A_ ):
										try:
												UpperCamelCase						=  word.index(A_       ,   A_ )
												new_word.extend(word[i:j] )
												UpperCamelCase						=  j
										except ValueError:
												new_word.extend(word[i:] )
												break

										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
								UpperCamelCase						=  tuple(A_ )
								UpperCamelCase						=  new_word
								if len(A_ ) == 1:
										break
								else:
										UpperCamelCase						=  get_pairs(A_ )
						UpperCamelCase						=  '@@ '.join(A_ )
						UpperCamelCase						=  word[:-4]

						UpperCamelCase						=  word
						words.append(A_ )
				return " ".join(A_ )



		def __UpperCamelCase				(				self       ,   A_ )						->      List[str]:
				"""simple docstring"""
				UpperCamelCase						=  []

				UpperCamelCase						=  re.findall(r'\S+\n?'       ,   A_ )

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



		def __UpperCamelCase				(				self       ,   A_ )						->      int:
				"""simple docstring"""
				UpperCamelCase						=  token.lower()
				return self.encoder.get(A_       ,   self.encoder.get(self.unk_token ) )



		def __UpperCamelCase				(				self       ,   A_ )						->      str:
				"""simple docstring"""
				return self.decoder.get(A_       ,   self.unk_token )



		def __UpperCamelCase				(				self       ,   A_ )						->      str:
				"""simple docstring"""
				UpperCamelCase						=  ' '.join(A_ ).replace('@@ '       ,   '' ).strip()
				return out_string



		def __UpperCamelCase				(				self       ,   A_       ,   A_ = None )						->      Tuple[str]:
				"""simple docstring"""
				if not os.path.isdir(A_ ):
						logger.error(F'''Vocabulary path ({save_directory}) should be a directory''' )
						return
				UpperCamelCase						=  os.path.join(
				    A_       ,   (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file'] )
				UpperCamelCase						=  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' )

				UpperCamelCase						=  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 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!' )
										UpperCamelCase						=  token_index
								writer.write(' '.join(A_ ) + '\n' )
								index += 1

				return vocab_file, merge_file
