


'''simple docstring'''
import json
import os
import unittest
from typing import Tuple

from transformers import WavaVecaPhonemeCTCTokenizer
from transformers.models.wavaveca.tokenization_wavaveca import VOCAB_FILES_NAMES
from transformers.models.wavaveca_phoneme.tokenization_wavaveca_phoneme import WavaVecaPhonemeCTCTokenizerOutput
from transformers.testing_utils import require_phonemizer

from ...test_tokenization_common import TokenizerTesterMixin




@require_phonemizer
class 			lowerCamelCase_   (	__a     ,       unittest.TestCase      ):
      lowerCAmelCase__		     =     WavaVecaPhonemeCTCTokenizer
      lowerCAmelCase__		     =     False






      def lowercase_							(					self				:    Union[str, Any] ):


          '''simple docstring'''


          super().setUp()

          UpperCAmelCase__			:		Tuple													=				(
              '''<s> <pad> </s> <unk> n s t ə l a i k d m ɛ ɾ e ɪ p o ɐ z ð f j v b ɹ ʁ ʊ iː r w ʌ u ɡ æ aɪ ʃ h ɔ ɑː '''
              '''ŋ ɚ eɪ β uː y ɑ̃ oʊ ᵻ eː θ aʊ ts oː ɔ̃ ɣ ɜ ɑ dʒ əl x ɜː ç ʒ tʃ ɔː ɑːɹ ɛ̃ ʎ ɔːɹ ʋ aː ɕ œ ø oːɹ ɲ yː '''
              '''ʔ iə i5 s. tɕ ?? nʲ ɛː œ̃ ɭ ɔø ʑ tʲ ɨ ɛɹ ts. rʲ ɪɹ ɭʲ i.5 ɔɪ q sʲ u5 ʊɹ iɜ a5 iɛ5 øː ʕ ja əɜ th ɑ5 '''
              '''oɪ dʲ ə5 tɕh ts.h mʲ ɯ dʑ vʲ e̞ tʃʲ ei5 o5 onɡ5 ɑu5 iɑ5 ai5 aɪɚ kh ə1 ʐ i2 ʉ ħ t[ aɪə ʲ ju ə2 u2 oɜ '''
              '''pː iɛɜ ou5 y5 uɜ tː uo5 d[ uoɜ tsh ɑɜ ɵ i̪5 uei5 ɟ aɜ ɑɨ i.ɜ eʊ o2 ɐ̃ ä pʲ kʲ n̩ ɒ ph ɑu2 uɨ əɪ ɫ ɬ '''
              '''yɜ bʲ ɑ2 s̪ aiɜ χ ɐ̃ʊ̃ 1 ə4 yæɜ a2 ɨː t̪ iouɜ ũ onɡɜ aɨ iɛ2 ɔɨ ɑuɜ o̞ ei2 iou2 c kː y2 ɖ oe dˤ yɛɜ '''
              '''əʊ S ɡʲ onɡ2 u" eiɜ ʈ ɯᵝ iou5 dZ r̝̊ i.2 tS s^ ʝ yə5 iɑɜ uə5 pf ɨu iɑ2 ou2 ər2 fʲ ai2 r̝ uəɜ ɳ əɨ '''
              '''ua5 uɪ ɽ bː yu5 uo2 yɛ5 l̩ ɻ ərɜ ʂ i̪2 ouɜ uaɜ a. a.ː yæ5 dː r̩ ee ɪu ər5 i̪ ɜ æi u: i.ː t^ o1 ɪ^ '''
              '''ai ueiɜ æː ɛɪ eə i. ɴ ie ua2 ɑ1 o4 tʃː o: ɑ: u1 N i̪1 au yæ2 u. qː yəɜ y: kʰ tʃʰ iʊ sx õ uo tʰ '''
              '''uai5 bʰ u.ː uə2 ʊə d^ s̪ː yiɜ dʰ r. oe: i1 ɟː yu2 nʲʲ i̪4 uei2 tsʲ ɸ ĩ ɑ4 t̪ː eɑ u4 e: tsː ʈʰ ɡʰ '''
              '''ɯɯ dʒʲ ʂʲ X ɵː uaiɜ tɕʲ ã t^ː ẽː yɛ2 cː i.1 ɛʊ dˤdˤ dʒː i4 ɡː yi ɕʲ ɟʰ pʰ dʑʲ yuɜ ua1 ua4 æiː ɐɐ '''
              '''ui iou1 ʊː a1 iou4 cʰ iɛ1 yə2 ɖʰ ẽ ʒʲ ää ər4 iːː ɪː iɑ1 ər1 œː øi ɪuː cʰcʰ əː1 iː1 ũ kʰː o̞o̞ xʲ '''
              '''ou1 iɛ4 e̞e̞ y1 dzː dʲʲ dʰː ɯᵝɯᵝ lː uo1 i.4 i: yɛ5ʲ a4'''
          ).split(''' ''' )
          UpperCAmelCase__			:		List[Any]													=				dict(zip(_A						,						range(len(_A ) ) ) )

          UpperCAmelCase__			:		Union[str, Any]													=				{'''pad_token''': '''<pad>''', '''unk_token''': '''<unk>''', '''bos_token''': '''<s>''', '''eos_token''': '''</s>'''}

          UpperCAmelCase__			:		int													=				os.path.join(self.tmpdirname						,						VOCAB_FILES_NAMES['''vocab_file'''] )
          with open(self.vocab_file						,						'''w'''						,						encoding='''utf-8''' ) as fp:
              fp.write(json.dumps(_A ) + '''\n''' )






      def lowercase_							(					self				:    int						,						_A				:    List[str]						,						_A				:    Union[str, Any]=False						,						_A				:    Optional[Any]=20						,						_A				:    List[str]=5 ):


          '''simple docstring'''


          UpperCAmelCase__			:		int													=				[(i, tokenizer.decode([i]						,						clean_up_tokenization_spaces=_A )) for i in range(len(_A ) )]
          UpperCAmelCase__			:		Tuple													=				list(filter(lambda _A : [t[0]] == tokenizer.encode(t[1]						,						do_phonemize=_A )						,						_A ) )
          if max_length is not None and len(_A ) > max_length:
              UpperCAmelCase__			:		Union[str, Any]													=				toks[:max_length]
          if min_length is not None and len(_A ) < min_length and len(_A ) > 0:
              while len(_A ) < min_length:
                  UpperCAmelCase__			:		Any													=				toks + toks
        # toks_str = [t[1] for t in toks]
          UpperCAmelCase__			:		Optional[int]													=				[t[0] for t in toks]

          # Ensure consistency
          UpperCAmelCase__			:		Optional[Any]													=				tokenizer.decode(_A						,						clean_up_tokenization_spaces=_A )
          if " " not in output_txt and len(_A ) > 1:
              UpperCAmelCase__			:		Dict													=				(
                  tokenizer.decode([toks_ids[0]]						,						clean_up_tokenization_spaces=_A )
                  + ''' '''
                  + tokenizer.decode(toks_ids[1:]						,						clean_up_tokenization_spaces=_A )
              )
          if with_prefix_space:
              UpperCAmelCase__			:		Tuple													=				''' ''' + output_txt
          UpperCAmelCase__			:		Optional[int]													=				tokenizer.encode(_A						,						add_special_tokens=_A )
          return output_txt, output_ids






      def lowercase_							(					self				:    Union[str, Any]						,						**_A				:    Any ):


          '''simple docstring'''


          kwargs.update(self.special_tokens_map )
          return WavaVecaPhonemeCTCTokenizer.from_pretrained(self.tmpdirname						,						**_A )






      def lowercase_							(					self				:    Optional[int] ):


          '''simple docstring'''


          UpperCAmelCase__			:		Optional[Any]													=				self.tokenizer_class.from_pretrained('''facebook/wav2vec2-lv-60-espeak-cv-ft''' )

          # check adding a single token
          tokenizer.add_tokens('''xxx''' )
          UpperCAmelCase__			:		Dict													=				tokenizer('''m xxx ɪ'''						,						do_phonemize=_A ).input_ids
          self.assertEqual(_A						,						[13, 392, 17] )  # xxx should be last token

          tokenizer.add_tokens(['''aaa''', '''bbb''', '''ccc'''] )
          UpperCAmelCase__			:		List[str]													=				tokenizer('''m aaa ɪ ccc'''						,						do_phonemize=_A ).input_ids
          self.assertEqual(_A						,						[13, 393, 17, 395] )  # aaa and ccc should be after xxx and 2 after aaa

          UpperCAmelCase__			:		Optional[Any]													=				tokenizer('''maɪ c'''						,						do_phonemize=_A ).input_ids
          self.assertEqual(_A						,						[3, 200] )  # mai should be <unk> (=3)






      def lowercase_							(					self				:    Union[str, Any] ):


          '''simple docstring'''


          UpperCAmelCase__			:		Tuple													=				self.tokenizer_class.from_pretrained('''facebook/wav2vec2-lv-60-espeak-cv-ft''' )

          UpperCAmelCase__			:		Dict													=				'''Hello how are you'''
          UpperCAmelCase__			:		List[str]													=				tokenizer.phonemize(_A						,						phonemizer_lang='''en-us''' )
          self.assertEqual(_A						,						'''h ə l oʊ h aʊ ɑːɹ j uː''' )






      def lowercase_							(					self				:    Tuple ):


          '''simple docstring'''


          UpperCAmelCase__			:		List[str]													=				self.tokenizer_class.from_pretrained('''facebook/wav2vec2-lv-60-espeak-cv-ft''' )

          UpperCAmelCase__			:		str													=				'''Hello how are you'''
          UpperCAmelCase__			:		Dict													=				tokenizer.phonemize(_A						,						phonemizer_lang='''en-us''' )
          self.assertEqual(tokenizer(_A ).input_ids						,						tokenizer(_A						,						do_phonemize=_A ).input_ids )






      def lowercase_							(					self				:    List[Any] ):


          '''simple docstring'''


          UpperCAmelCase__			:		Optional[Any]													=				self.tokenizer_class.from_pretrained('''facebook/wav2vec2-lv-60-espeak-cv-ft''' )
          UpperCAmelCase__			:		Optional[Any]													=				'''Hello how are you'''
          UpperCAmelCase__			:		str													=				tokenizer.phonemize(_A						,						phonemizer_lang='''en-us''' )

          UpperCAmelCase__			:		List[str]													=				tokenizer.decode(tokenizer(_A ).input_ids )

          self.assertEqual(_A						,						_A )






      def lowercase_							(					self				:    Any ):


          '''simple docstring'''


          UpperCAmelCase__			:		Union[str, Any]													=				self.tokenizer_class.from_pretrained('''facebook/wav2vec2-lv-60-espeak-cv-ft''' )

          UpperCAmelCase__			:		int													=				[
              [11, 5, 15, tokenizer.pad_token_id, 15, 8, 98],
              [24, 22, 5, 24, 22, 5, 77],
          ]
          UpperCAmelCase__			:		Tuple													=				tokenizer.decode(sample_ids[0] )
          UpperCAmelCase__			:		Optional[int]													=				tokenizer.batch_decode(_A )
          self.assertEqual(_A						,						batch_tokens[0] )
          self.assertEqual(_A						,						['''k s ɾ ɾ l ɭʲ''', '''j ð s j ð s oːɹ'''] )






      def lowercase_							(					self				:    Any ):


          '''simple docstring'''


          UpperCAmelCase__			:		Optional[Any]													=				self.tokenizer_class.from_pretrained(
              '''facebook/wav2vec2-lv-60-espeak-cv-ft'''						,						word_delimiter_token='''|''' )
          tokenizer.add_tokens('''|''' )

          UpperCAmelCase__			:		List[str]													=				'''Hello how are you'''
          UpperCAmelCase__			:		Optional[int]													=				tokenizer.phonemize(_A						,						phonemizer_lang='''en-us''' )
          self.assertEqual(_A						,						'''h ə l oʊ | h aʊ | ɑːɹ | j uː |''' )






      def lowercase_							(					self				:    List[Any] ):


          '''simple docstring'''


          UpperCAmelCase__			:		Dict													=				self.tokenizer_class.from_pretrained(
              '''facebook/wav2vec2-lv-60-espeak-cv-ft'''						,						word_delimiter_token='''|''' )
          tokenizer.add_tokens('''|''' )

          UpperCAmelCase__			:		Dict													=				'''Hello how are you'''
          UpperCAmelCase__			:		Dict													=				tokenizer.phonemize(_A						,						phonemizer_lang='''en-us''' )
          self.assertEqual(tokenizer(_A ).input_ids						,						tokenizer(_A						,						do_phonemize=_A ).input_ids )






      def lowercase_							(					self				:    Optional[Any] ):


          '''simple docstring'''


          UpperCAmelCase__			:		str													=				self.tokenizer_class.from_pretrained(
              '''facebook/wav2vec2-lv-60-espeak-cv-ft'''						,						word_delimiter_token='''|''' )
          tokenizer.add_tokens('''|''' )

          # fmt: off
          UpperCAmelCase__			:		Dict													=				[
              [11, 5, 15, tokenizer.pad_token_id, tokenizer.word_delimiter_token_id, 15, 8, tokenizer.word_delimiter_token_id, 98],
              [tokenizer.word_delimiter_token_id, 24, 22, tokenizer.word_delimiter_token_id, 5, 24, 22, 5, 77],
          ]
          # fmt: on

          # decode with word_del_token filter
          UpperCAmelCase__			:		List[str]													=				tokenizer.decode(sample_ids[0] )
          UpperCAmelCase__			:		List[Any]													=				tokenizer.batch_decode(_A )
          self.assertEqual(_A						,						batch_tokens[0] )
          self.assertEqual(_A						,						['''k s ɾ ɾ l ɭʲ''', '''j ð s j ð s oːɹ'''] )

          # decode with no word_del_token filter
          UpperCAmelCase__			:		Any													=				tokenizer.decode(sample_ids[0]						,						filter_word_delimiter_token=_A )
          UpperCAmelCase__			:		Union[str, Any]													=				tokenizer.batch_decode(_A						,						filter_word_delimiter_token=_A )
          self.assertEqual(_A						,						batch_tokens[0] )
          self.assertEqual(_A						,						['''k s ɾ | ɾ l | ɭʲ''', '''| j ð | s j ð s oːɹ'''] )






      def lowercase_							(					self				:    str ):


          '''simple docstring'''


          UpperCAmelCase__			:		Any													=				self.tokenizer_class.from_pretrained(
              '''facebook/wav2vec2-lv-60-espeak-cv-ft'''						,						word_delimiter_token='''|''' )
          tokenizer.add_tokens('''|''' )

          UpperCAmelCase__			:		Dict													=				'''Hello how are you'''
          UpperCAmelCase__			:		Optional[int]													=				tokenizer.phonemize(_A						,						phonemizer_lang='''en-us''' )

          UpperCAmelCase__			:		Optional[int]													=				tokenizer.decode(tokenizer(_A ).input_ids						,						filter_word_delimiter_token=_A )

          self.assertEqual(_A						,						_A )






      def lowercase_							(					self				:    Optional[int] ):


          '''simple docstring'''


          UpperCAmelCase__			:		str													=				self.tokenizer_class.from_pretrained(
              '''facebook/wav2vec2-lv-60-espeak-cv-ft'''						,						word_delimiter_token='''|''' )
          tokenizer.add_tokens('''|''' )

          UpperCAmelCase__			:		str													=				'''Hello how are you'''
          UpperCAmelCase__			:		Union[str, Any]													=				tokenizer.phonemize(_A						,						phonemizer_lang='''en-us''' )

          UpperCAmelCase__			:		Optional[Any]													=				tokenizer.decode(tokenizer(_A ).input_ids						,						filter_word_delimiter_token=_A )

          self.assertEqual(''' '''.join([p.strip() for p in phonemes.split(''' |''' )] ).strip()						,						_A )






      def lowercase_							(					self				:    List[Any] ):


          '''simple docstring'''


          UpperCAmelCase__			:		Dict													=				self.tokenizer_class.from_pretrained(
              '''facebook/wav2vec2-lv-60-espeak-cv-ft'''						,						word_delimiter_token=_A )
          UpperCAmelCase__			:		Optional[int]													=				'''Hello how are you'''

          UpperCAmelCase__			:		Optional[int]													=				tokenizer(_A						,						phonemizer_lang='''en-us''' ).input_ids
          UpperCAmelCase__			:		Optional[int]													=				tokenizer(_A						,						phonemizer_lang='''fr-fr''' ).input_ids

          self.assertNotEqual(_A						,						_A )

          UpperCAmelCase__			:		Optional[Any]													=				tokenizer.decode(_A )
          UpperCAmelCase__			:		List[Any]													=				tokenizer.decode(_A )

          self.assertEqual(_A						,						'''h ə l oʊ h aʊ ɑːɹ j uː''' )
          self.assertEqual(_A						,						'''ɛ l o h aʊ a ʁ j u''' )






      def lowercase_							(					self				:    Optional[int] ):


          '''simple docstring'''


          UpperCAmelCase__			:		Tuple													=				self.tokenizer_class.from_pretrained('''facebook/wav2vec2-lv-60-espeak-cv-ft''' )
          UpperCAmelCase__			:		Optional[Any]													=				'''Hello how Are you'''
          UpperCAmelCase__			:		str													=				'''hello how are you'''

          UpperCAmelCase__			:		Optional[Any]													=				tokenizer(_A ).input_ids
          UpperCAmelCase__			:		Union[str, Any]													=				tokenizer(_A ).input_ids

          self.assertEqual(_A						,						_A )






      def lowercase_							(					self				:    str ):


          '''simple docstring'''


          UpperCAmelCase__			:		List[Any]													=				self.tokenizer_class.from_pretrained('''facebook/wav2vec2-lv-60-espeak-cv-ft''' )
          tokenizer.add_tokens(['''!''', '''?'''] )
          tokenizer.add_special_tokens({'''cls_token''': '''$$$'''} )

          # fmt: off
          UpperCAmelCase__			:		Optional[Any]													=				[
              [11, 5, 15, tokenizer.pad_token_id, 15, 8, 98, 392, 392, 393, 392, 392, 393, 394, 394],
              [24, 22, 5, 24, 22, 5, 77, tokenizer.pad_token_id, 394, 394],
          ]
          # fmt: on

          UpperCAmelCase__			:		Any													=				tokenizer.batch_decode(_A )
          self.assertEqual(_A						,						['''k s ɾ ɾ l ɭʲ!?!? $$$''', '''j ð s j ð s oːɹ $$$'''] )






      @staticmethod
      def lowercase_							(					_A				:    Any						,						_A				:    Dict ):


          '''simple docstring'''


          UpperCAmelCase__			:		Tuple													=				[d[key] for d in offsets]
          return retrieved_list






      def lowercase_							(					self				:    Optional[Any] ):


          '''simple docstring'''


          UpperCAmelCase__			:		Optional[Any]													=				self.get_tokenizer(word_delimiter_token='''|''' )
          tokenizer.add_tokens('''|''' )

          # fmt: off
          # ksssɾɾ|ɾɾ<pad>ɾɾ|<pad>ɾlll|ɭʲ -> k s ɾ ɾ | ɾ l | ɭʲ"
          UpperCAmelCase__			:		Optional[Any]													=				[11, 5, 5, 5, 15, 15, tokenizer.pad_token_id, 15, 15, tokenizer.word_delimiter_token_id, tokenizer.pad_token_id, 15, 8, 8, 8, tokenizer.word_delimiter_token_id, 98]
          # fmt: on

          UpperCAmelCase__			:		int													=				tokenizer.decode(_A						,						output_char_offsets=_A						,						filter_word_delimiter_token=_A )
          # check Wav2Vec2CTCTokenizerOutput keys for char
          self.assertEqual(len(outputs.keys() )						,						2 )
          self.assertTrue('''text''' in outputs )
          self.assertTrue('''char_offsets''' in outputs )
          self.assertTrue(isinstance(_A						,						_A ) )

          # check that order of chars is correct and identical for both outputs
          self.assertEqual(''' '''.join(self.get_from_offsets(outputs['''char_offsets''']						,						'''char''' ) )						,						outputs.text )
          self.assertListEqual(
              self.get_from_offsets(outputs['''char_offsets''']						,						'''char''' )						,						['''k''', '''s''', '''ɾ''', '''ɾ''', '''|''', '''ɾ''', '''l''', '''|''', '''ɭʲ'''] )

          # check that offsets are actually correct for char
          # 0-1 is 11, 1-4 is 5, 4-6 is first 15, 6-7 is <pad> (thus not shown), 7-9 is second 15, 9-10 is word_delimiter_token,
          # 10-11 is <pad> (thus not shown), 11-12 is third 15, 12-15 is 8, 15-16 is word_delimiter_token, 16-17 is 98
          self.assertListEqual(
              self.get_from_offsets(outputs['''char_offsets''']						,						'''start_offset''' )						,						[0, 1, 4, 7, 9, 11, 12, 15, 16] )
          self.assertListEqual(
              self.get_from_offsets(outputs['''char_offsets''']						,						'''end_offset''' )						,						[1, 4, 6, 9, 10, 12, 15, 16, 17] )






      def lowercase_							(					self				:    Tuple ):


          '''simple docstring'''


          UpperCAmelCase__			:		Union[str, Any]													=				self.get_tokenizer(word_delimiter_token='''|''' )

          def check_list_tuples_equal(_A				:    Dict						,						_A				:    Dict ):
              self.assertTrue(isinstance(_A						,						_A ) )
              self.assertTrue(isinstance(outputs_list[0]						,						_A ) )

              # transform list to ModelOutput
              UpperCAmelCase__			:		Optional[int]													=				WavaVecaPhonemeCTCTokenizerOutput(
                  {k: [d[k] for d in outputs_list] for k in outputs_list[0]} )

              self.assertListEqual(outputs_batch['''text''']						,						outputs_batch_a['''text'''] )

              def recursive_check(_A				:    Union[str, Any]						,						_A				:    Tuple ):
                  if isinstance(_A						,						_A ):
                      [recursive_check(_A						,						_A ) for la, la in zip(_A						,						_A )]
                  self.assertEqual(_A						,						_A )

              if "char_offsets" in outputs_batch:
                  recursive_check(outputs_batch['''char_offsets''']						,						outputs_batch_a['''char_offsets'''] )

        # fmt: off
          UpperCAmelCase__			:		int													=				[
              [11, 5, 15, tokenizer.pad_token_id, 15, 4, 8, 98, 32, 32, 32, 32, 4, 33, tokenizer.word_delimiter_token_id, 32, 32, 33, 34, 34],
              [24, 22, 5, tokenizer.word_delimiter_token_id, tokenizer.word_delimiter_token_id, 24, 22, 22, 22, 4, 5, 77, tokenizer.pad_token_id, 22, 22, 4, 34, 34, 34, 34],
          ]
          # fmt: on

          # We assume that `decode` works as expected. All we will check now is
          # the output type is correct and the output is identical to `decode`

          # char
          UpperCAmelCase__			:		Union[str, Any]													=				tokenizer.batch_decode(_A						,						output_char_offsets=_A )
          UpperCAmelCase__			:		int													=				[tokenizer.decode(_A						,						output_char_offsets=_A ) for ids in sample_ids]
          check_list_tuples_equal(_A						,						_A )






      @unittest.skip('''Wav2Vec2PhonemeTokenizer always lower cases letters to correctly map to phonemes''' )
      def lowercase_							(					self				:    List[Any] ):


          '''simple docstring'''


          pass






      @unittest.skip('''Wav2Vec2PhonemeTokenizer always puts spaces between phonemes''' )
      def lowercase_							(					self				:    Optional[Any] ):


          '''simple docstring'''


          pass






      @unittest.skip('''encodes to text to ids, but decodes ids to phonemes -> not possible to have internal consistency''' )
      def lowercase_							(					self				:    List[str] ):


          '''simple docstring'''


          pass






      @unittest.skip('''Wav2Vec2PhonemeModel has no max model length => no testing''' )
      def lowercase_							(					self				:    Tuple ):


          '''simple docstring'''


          pass






      def lowercase_							(					self				:    Optional[int] ):


          '''simple docstring'''


          UpperCAmelCase__			:		Any													=				self.get_tokenizers(do_lower_case=_A )
          for tokenizer in tokenizers:
              with self.subTest(f"""{tokenizer.__class__.__name__}""" ):
                  UpperCAmelCase__			:		str													=				tokenizer.vocab_size
                  UpperCAmelCase__			:		Optional[int]													=				len(_A )

                  self.assertNotEqual(_A						,						0 )

                  # We usually have added tokens from the start in tests because our vocab fixtures are
                  # smaller than the original vocabs - let's not assert this
                  # self.assertEqual(vocab_size, all_size)

                  UpperCAmelCase__			:		Optional[Any]													=				['''aaaaa bbbbbb''', '''cccccccccdddddddd''']
                  UpperCAmelCase__			:		Tuple													=				tokenizer.add_tokens(_A )
                  UpperCAmelCase__			:		Union[str, Any]													=				tokenizer.vocab_size
                  UpperCAmelCase__			:		Dict													=				len(_A )

                  self.assertNotEqual(_A						,						0 )
                  self.assertEqual(_A						,						_A )
                  self.assertEqual(_A						,						len(_A ) )
                  self.assertEqual(_A						,						all_size + len(_A ) )

                  UpperCAmelCase__			:		Dict													=				tokenizer.encode('''aaaaa bbbbbb low cccccccccdddddddd l'''						,						add_special_tokens=_A )

                  self.assertGreaterEqual(len(_A )						,						4 )
                  self.assertGreater(tokens[0]						,						tokenizer.vocab_size - 1 )
                  self.assertGreater(tokens[-3]						,						tokenizer.vocab_size - 1 )

                  UpperCAmelCase__			:		Tuple													=				{'''eos_token''': '''>>>>|||<||<<|<<''', '''pad_token''': '''<<<<<|||>|>>>>|>'''}
                  UpperCAmelCase__			:		int													=				tokenizer.add_special_tokens(_A )
                  UpperCAmelCase__			:		List[Any]													=				tokenizer.vocab_size
                  UpperCAmelCase__			:		List[Any]													=				len(_A )

                  self.assertNotEqual(_A						,						0 )
                  self.assertEqual(_A						,						_A )
                  self.assertEqual(_A						,						len(_A ) )
                  self.assertEqual(_A						,						all_size_a + len(_A ) )

                  UpperCAmelCase__			:		Any													=				tokenizer.encode(
                      '''>>>>|||<||<<|<< aaaaabbbbbb low cccccccccdddddddd <<<<<|||>|>>>>|> l'''						,						add_special_tokens=_A )

                  self.assertGreaterEqual(len(_A )						,						6 )
                  self.assertGreater(tokens[0]						,						tokenizer.vocab_size - 1 )
                  self.assertGreater(tokens[0]						,						tokens[1] )
                  self.assertGreater(tokens[-3]						,						tokenizer.vocab_size - 1 )
                  self.assertGreater(tokens[-3]						,						tokens[-4] )
                  self.assertEqual(tokens[0]						,						tokenizer.eos_token_id )
                  self.assertEqual(tokens[-3]						,						tokenizer.pad_token_id )






      @unittest.skip('''The tokenizer shouldn\'t be used to encode input IDs (except for labels), only to decode.''' )
      def lowercase_							(					self				:    Optional[Any] ):


          '''simple docstring'''


          pass






      @unittest.skip('''The tokenizer shouldn\'t be used to encode input IDs (except for labels), only to decode.''' )
      def lowercase_							(					self				:    str ):


          '''simple docstring'''


          pass






      def lowercase_							(					self				:    Optional[Any] ):


          '''simple docstring'''


          UpperCAmelCase__			:		int													=				self.get_tokenizers(fast=_A						,						do_lower_case=_A )
          for tokenizer in tokenizers:
              with self.subTest(f"""{tokenizer.__class__.__name__}""" ):
                  UpperCAmelCase__			:		Any													=				['''ð''', '''ɪ''', '''s''', '''ɪ''', '''z''', '''ɐ''', '''t''', '''ɛ''', '''k''', '''s''', '''t''']
                  UpperCAmelCase__			:		str													=				tokenizer.convert_tokens_to_string(_A )

                  self.assertIsInstance(output['''text''']						,						_A )




'''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


UpperCamelCase__    					=      logging.get_logger(__name__)


UpperCamelCase__    					=      {'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt'''}

# See all BART models at https://huggingface.co/models?filter=bart
UpperCamelCase__    					=      {
    '''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''',
    },
}

UpperCamelCase__    					=      {
    '''facebook/bart-base''': 1_0_2_4,
    '''facebook/bart-large''': 1_0_2_4,
    '''facebook/bart-large-mnli''': 1_0_2_4,
    '''facebook/bart-large-cnn''': 1_0_2_4,
    '''facebook/bart-large-xsum''': 1_0_2_4,
    '''yjernite/bart_eli5''': 1_0_2_4,
}





@lru_cache()
def 					a__       (					)    ->	List[Any]:
    UpperCAmelCase__			:		int													=				(
        list(range(ord('''!'''						)  ,					ord('''~'''						) + 1						)						) + list(range(ord('''¡'''						)  ,					ord('''¬'''						) + 1						)						) + list(range(ord('''®'''						)  ,					ord('''ÿ'''						) + 1						)						)
    )
    UpperCAmelCase__			:		Optional[int]													=				bs[:]
    UpperCAmelCase__			:		List[str]													=				0
    for b in range(2**8						):
        if b not in bs:
            bs.append(lowerCAmelCase__						)
            cs.append(2**8 + n						)
            n += 1
    UpperCAmelCase__			:		Any													=				[chr(lowerCAmelCase__						) for n in cs]
    return dict(zip(lowerCAmelCase__  ,					lowerCAmelCase__						)						)





def 					a__       (					lowerCAmelCase__						)    ->	Union[str, Any]:
    UpperCAmelCase__			:		str													=				set()
    UpperCAmelCase__			:		str													=				word[0]
    for char in word[1:]:
        pairs.add((prev_char, char)						)
        UpperCAmelCase__			:		Optional[int]													=				char
    return pairs







class 			lowerCamelCase_   (	__a      ):
      lowerCAmelCase__		     =     VOCAB_FILES_NAMES
      lowerCAmelCase__		     =     PRETRAINED_VOCAB_FILES_MAP
      lowerCAmelCase__		     =     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      lowerCAmelCase__		     =     ['input_ids', 'attention_mask']






      def __init__(					self				:    Optional[int]						,						_A				:    Optional[int]						,						_A				:    List[Any]						,						_A				:    int="replace"						,						_A				:    List[Any]="<s>"						,						_A				:    List[Any]="</s>"						,						_A				:    List[Any]="</s>"						,						_A				:    Optional[int]="<s>"						,						_A				:    List[str]="<unk>"						,						_A				:    List[str]="<pad>"						,						_A				:    Union[str, Any]="<mask>"						,						_A				:    Any=False						,						**_A				:    Dict						,						):


          '''simple docstring'''


          UpperCAmelCase__			:		Dict													=				AddedToken(_A						,						lstrip=_A						,						rstrip=_A ) if isinstance(_A						,						_A ) else bos_token
          UpperCAmelCase__			:		Any													=				AddedToken(_A						,						lstrip=_A						,						rstrip=_A ) if isinstance(_A						,						_A ) else eos_token
          UpperCAmelCase__			:		Optional[int]													=				AddedToken(_A						,						lstrip=_A						,						rstrip=_A ) if isinstance(_A						,						_A ) else sep_token
          UpperCAmelCase__			:		Tuple													=				AddedToken(_A						,						lstrip=_A						,						rstrip=_A ) if isinstance(_A						,						_A ) else cls_token
          UpperCAmelCase__			:		int													=				AddedToken(_A						,						lstrip=_A						,						rstrip=_A ) if isinstance(_A						,						_A ) else unk_token
          UpperCAmelCase__			:		Optional[Any]													=				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
          UpperCAmelCase__			:		Optional[int]													=				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:
              UpperCAmelCase__			:		Optional[Any]													=				json.load(_A )
          UpperCAmelCase__			:		Any													=				{v: k for k, v in self.encoder.items()}
          UpperCAmelCase__			:		List[str]													=				errors  # how to handle errors in decoding
          UpperCAmelCase__			:		str													=				bytes_to_unicode()
          UpperCAmelCase__			:		Dict													=				{v: k for k, v in self.byte_encoder.items()}
          with open(_A						,						encoding='''utf-8''' ) as merges_handle:
              UpperCAmelCase__			:		str													=				merges_handle.read().split('''\n''' )[1:-1]
          UpperCAmelCase__			:		Union[str, Any]													=				[tuple(merge.split() ) for merge in bpe_merges]
          UpperCAmelCase__			:		Optional[Any]													=				dict(zip(_A						,						range(len(_A ) ) ) )
          UpperCAmelCase__			:		Optional[int]													=				{}
          UpperCAmelCase__			:		int													=				add_prefix_space

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






      @property
      def lowercase_							(					self				:    int ):


          '''simple docstring'''


          return len(self.encoder )






      def lowercase_							(					self				:    Tuple ):


          '''simple docstring'''


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






      def lowercase_							(					self				:    List[Any]						,						_A				:    Tuple ):


          '''simple docstring'''


          if token in self.cache:
              return self.cache[token]
          UpperCAmelCase__			:		Optional[Any]													=				tuple(_A )
          UpperCAmelCase__			:		Dict													=				get_pairs(_A )

          if not pairs:
              return token

          while True:
              UpperCAmelCase__			:		Optional[Any]													=				min(_A						,						key=lambda _A : self.bpe_ranks.get(_A						,						float('''inf''' ) ) )
              if bigram not in self.bpe_ranks:
                  break
              UpperCAmelCase__						,						UpperCAmelCase__			:		str													=				bigram
              UpperCAmelCase__			:		int													=				[]
              UpperCAmelCase__			:		Tuple													=				0
              while i < len(_A ):
                  try:
                      UpperCAmelCase__			:		Optional[int]													=				word.index(_A						,						_A )
                  except ValueError:
                      new_word.extend(word[i:] )
                      break
                  else:
                      new_word.extend(word[i:j] )
                      UpperCAmelCase__			:		Tuple													=				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
              UpperCAmelCase__			:		Optional[Any]													=				tuple(_A )
              UpperCAmelCase__			:		List[Any]													=				new_word
              if len(_A ) == 1:
                  break
              else:
                  UpperCAmelCase__			:		Union[str, Any]													=				get_pairs(_A )
          UpperCAmelCase__			:		Optional[Any]													=				''' '''.join(_A )
          UpperCAmelCase__			:		List[Any]													=				word
          return word






      def lowercase_							(					self				:    str						,						_A				:    str ):


          '''simple docstring'''


          UpperCAmelCase__			:		List[Any]													=				[]
          for token in re.findall(self.pat						,						_A ):
              UpperCAmelCase__			:		str													=				''''''.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 lowercase_							(					self				:    List[str]						,						_A				:    Any ):


          '''simple docstring'''


          return self.encoder.get(_A						,						self.encoder.get(self.unk_token ) )






      def lowercase_							(					self				:    int						,						_A				:    List[str] ):


          '''simple docstring'''


          return self.decoder.get(_A )






      def lowercase_							(					self				:    Tuple						,						_A				:    Any ):


          '''simple docstring'''


          UpperCAmelCase__			:		Any													=				''''''.join(_A )
          UpperCAmelCase__			:		List[str]													=				bytearray([self.byte_decoder[c] for c in text] ).decode('''utf-8'''						,						errors=self.errors )
          return text






      def lowercase_							(					self				:    int						,						_A				:    str						,						_A				:    Optional[str] = None ):


          '''simple docstring'''


          if not os.path.isdir(_A ):
              logger.error(f"""Vocabulary path ({save_directory}) should be a directory""" )
              return
          UpperCAmelCase__			:		Tuple													=				os.path.join(
              _A						,						(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file'''] )
          UpperCAmelCase__			:		Any													=				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__			:		Union[str, Any]													=				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__			:		List[str]													=				token_index
                  writer.write(''' '''.join(_A ) + '''\n''' )
                  index += 1

          return vocab_file, merge_file






      def lowercase_							(					self				:    str						,						_A				:    List[int]						,						_A				:    Optional[List[int]] = None ):


          '''simple docstring'''


          if token_ids_a is None:
              return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
          UpperCAmelCase__			:		List[str]													=				[self.cls_token_id]
          UpperCAmelCase__			:		Union[str, Any]													=				[self.sep_token_id]
          return cls + token_ids_a + sep + sep + token_ids_a + sep






      def lowercase_							(					self				:    Optional[int]						,						_A				:    List[int]						,						_A				:    Optional[List[int]] = None						,						_A				:    bool = False ):


          '''simple docstring'''


          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 lowercase_							(					self				:    Dict						,						_A				:    List[int]						,						_A				:    Optional[List[int]] = None ):


          '''simple docstring'''


          UpperCAmelCase__			:		List[str]													=				[self.sep_token_id]
          UpperCAmelCase__			:		Dict													=				[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 lowercase_							(					self				:    Optional[Any]						,						_A				:    Any						,						_A				:    Dict=False						,						**_A				:    Union[str, Any] ):


          '''simple docstring'''


          UpperCAmelCase__			:		Any													=				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()):
              UpperCAmelCase__			:		Tuple													=				''' ''' + text
          return (text, kwargs)
