





"""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 		lowercase					(					snake_case_     ,  unittest.TestCase					):
      _SCREAMING_SNAKE_CASE					=      WavaVecaPhonemeCTCTokenizer
      _SCREAMING_SNAKE_CASE					=      False





      def     _snake_case			(       self )		->     Tuple:
            super().setUp()

            lowerCAmelCase  						=       (
                """<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(""" """ )
            lowerCAmelCase  						=       dict(zip(lowercase      ,						range(len(lowercase ) ) ) )

            lowerCAmelCase  						=       {"""pad_token""": """<pad>""", """unk_token""": """<unk>""", """bos_token""": """<s>""", """eos_token""": """</s>"""}

            lowerCAmelCase  						=       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(lowercase ) + """\n""" )





      def     _snake_case			(       self      ,						lowercase      ,						lowercase=False      ,						lowercase=20      ,						lowercase=5 )		->     Tuple[str, list]:
            lowerCAmelCase  						=       [(i, tokenizer.decode([i]      ,						clean_up_tokenization_spaces=lowercase )) for i in range(len(lowercase ) )]
            lowerCAmelCase  						=       list(filter(lambda lowercase : [t[0]] == tokenizer.encode(t[1]      ,						do_phonemize=lowercase )      ,						lowercase ) )
            if max_length is not None and len(lowercase ) > max_length:
                  lowerCAmelCase  						=       toks[:max_length]
            if min_length is not None and len(lowercase ) < min_length and len(lowercase ) > 0:
                  while len(lowercase ) < min_length:
                        lowerCAmelCase  						=       toks + toks
        # toks_str = [t[1] for t in toks]
            lowerCAmelCase  						=       [t[0] for t in toks]

            # Ensure consistency
            lowerCAmelCase  						=       tokenizer.decode(lowercase      ,						clean_up_tokenization_spaces=lowercase )
            if " " not in output_txt and len(lowercase ) > 1:
                  lowerCAmelCase  						=       (
                      tokenizer.decode([toks_ids[0]]      ,						clean_up_tokenization_spaces=lowercase )
                      + """ """
                      + tokenizer.decode(toks_ids[1:]      ,						clean_up_tokenization_spaces=lowercase )
                  )
            if with_prefix_space:
                  lowerCAmelCase  						=       """ """ + output_txt
            lowerCAmelCase  						=       tokenizer.encode(lowercase      ,						add_special_tokens=lowercase )
            return output_txt, output_ids





      def     _snake_case			(       self      ,						**lowercase )		->     Any:
            kwargs.update(self.special_tokens_map )
            return WavaVecaPhonemeCTCTokenizer.from_pretrained(self.tmpdirname      ,						**lowercase )





      def     _snake_case			(       self )		->     int:
            lowerCAmelCase  						=       self.tokenizer_class.from_pretrained("""facebook/wav2vec2-lv-60-espeak-cv-ft""" )

            # check adding a single token
            tokenizer.add_tokens("""xxx""" )
            lowerCAmelCase  						=       tokenizer("""m xxx ɪ"""      ,						do_phonemize=lowercase ).input_ids
            self.assertEqual(lowercase      ,						[13, 392, 17] )  # xxx should be last token

            tokenizer.add_tokens(["""aaa""", """bbb""", """ccc"""] )
            lowerCAmelCase  						=       tokenizer("""m aaa ɪ ccc"""      ,						do_phonemize=lowercase ).input_ids
            self.assertEqual(lowercase      ,						[13, 393, 17, 395] )  # aaa and ccc should be after xxx and 2 after aaa

            lowerCAmelCase  						=       tokenizer("""maɪ c"""      ,						do_phonemize=lowercase ).input_ids
            self.assertEqual(lowercase      ,						[3, 200] )  # mai should be <unk> (=3)





      def     _snake_case			(       self )		->     str:
            lowerCAmelCase  						=       self.tokenizer_class.from_pretrained("""facebook/wav2vec2-lv-60-espeak-cv-ft""" )

            lowerCAmelCase  						=       """Hello how are you"""
            lowerCAmelCase  						=       tokenizer.phonemize(lowercase      ,						phonemizer_lang="""en-us""" )
            self.assertEqual(lowercase      ,						"""h ə l oʊ h aʊ ɑːɹ j uː""" )





      def     _snake_case			(       self )		->     Any:
            lowerCAmelCase  						=       self.tokenizer_class.from_pretrained("""facebook/wav2vec2-lv-60-espeak-cv-ft""" )

            lowerCAmelCase  						=       """Hello how are you"""
            lowerCAmelCase  						=       tokenizer.phonemize(lowercase      ,						phonemizer_lang="""en-us""" )
            self.assertEqual(tokenizer(lowercase ).input_ids      ,						tokenizer(lowercase      ,						do_phonemize=lowercase ).input_ids )





      def     _snake_case			(       self )		->     str:
            lowerCAmelCase  						=       self.tokenizer_class.from_pretrained("""facebook/wav2vec2-lv-60-espeak-cv-ft""" )
            lowerCAmelCase  						=       """Hello how are you"""
            lowerCAmelCase  						=       tokenizer.phonemize(lowercase      ,						phonemizer_lang="""en-us""" )

            lowerCAmelCase  						=       tokenizer.decode(tokenizer(lowercase ).input_ids )

            self.assertEqual(lowercase      ,						lowercase )





      def     _snake_case			(       self )		->     List[str]:
            lowerCAmelCase  						=       self.tokenizer_class.from_pretrained("""facebook/wav2vec2-lv-60-espeak-cv-ft""" )

            lowerCAmelCase  						=       [
                [11, 5, 15, tokenizer.pad_token_id, 15, 8, 98],
                [24, 22, 5, 24, 22, 5, 77],
            ]
            lowerCAmelCase  						=       tokenizer.decode(sample_ids[0] )
            lowerCAmelCase  						=       tokenizer.batch_decode(lowercase )
            self.assertEqual(lowercase      ,						batch_tokens[0] )
            self.assertEqual(lowercase      ,						["""k s ɾ ɾ l ɭʲ""", """j ð s j ð s oːɹ"""] )





      def     _snake_case			(       self )		->     Union[str, Any]:
            lowerCAmelCase  						=       self.tokenizer_class.from_pretrained(
                """facebook/wav2vec2-lv-60-espeak-cv-ft"""      ,						word_delimiter_token="""|""" )
            tokenizer.add_tokens("""|""" )

            lowerCAmelCase  						=       """Hello how are you"""
            lowerCAmelCase  						=       tokenizer.phonemize(lowercase      ,						phonemizer_lang="""en-us""" )
            self.assertEqual(lowercase      ,						"""h ə l oʊ | h aʊ | ɑːɹ | j uː |""" )





      def     _snake_case			(       self )		->     Any:
            lowerCAmelCase  						=       self.tokenizer_class.from_pretrained(
                """facebook/wav2vec2-lv-60-espeak-cv-ft"""      ,						word_delimiter_token="""|""" )
            tokenizer.add_tokens("""|""" )

            lowerCAmelCase  						=       """Hello how are you"""
            lowerCAmelCase  						=       tokenizer.phonemize(lowercase      ,						phonemizer_lang="""en-us""" )
            self.assertEqual(tokenizer(lowercase ).input_ids      ,						tokenizer(lowercase      ,						do_phonemize=lowercase ).input_ids )





      def     _snake_case			(       self )		->     Tuple:
            lowerCAmelCase  						=       self.tokenizer_class.from_pretrained(
                """facebook/wav2vec2-lv-60-espeak-cv-ft"""      ,						word_delimiter_token="""|""" )
            tokenizer.add_tokens("""|""" )

            # fmt: off
            lowerCAmelCase  						=       [
                [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
            lowerCAmelCase  						=       tokenizer.decode(sample_ids[0] )
            lowerCAmelCase  						=       tokenizer.batch_decode(lowercase )
            self.assertEqual(lowercase      ,						batch_tokens[0] )
            self.assertEqual(lowercase      ,						["""k s ɾ ɾ l ɭʲ""", """j ð s j ð s oːɹ"""] )

            # decode with no word_del_token filter
            lowerCAmelCase  						=       tokenizer.decode(sample_ids[0]      ,						filter_word_delimiter_token=lowercase )
            lowerCAmelCase  						=       tokenizer.batch_decode(lowercase      ,						filter_word_delimiter_token=lowercase )
            self.assertEqual(lowercase      ,						batch_tokens[0] )
            self.assertEqual(lowercase      ,						["""k s ɾ | ɾ l | ɭʲ""", """| j ð | s j ð s oːɹ"""] )





      def     _snake_case			(       self )		->     Optional[Any]:
            lowerCAmelCase  						=       self.tokenizer_class.from_pretrained(
                """facebook/wav2vec2-lv-60-espeak-cv-ft"""      ,						word_delimiter_token="""|""" )
            tokenizer.add_tokens("""|""" )

            lowerCAmelCase  						=       """Hello how are you"""
            lowerCAmelCase  						=       tokenizer.phonemize(lowercase      ,						phonemizer_lang="""en-us""" )

            lowerCAmelCase  						=       tokenizer.decode(tokenizer(lowercase ).input_ids      ,						filter_word_delimiter_token=lowercase )

            self.assertEqual(lowercase      ,						lowercase )





      def     _snake_case			(       self )		->     Optional[Any]:
            lowerCAmelCase  						=       self.tokenizer_class.from_pretrained(
                """facebook/wav2vec2-lv-60-espeak-cv-ft"""      ,						word_delimiter_token="""|""" )
            tokenizer.add_tokens("""|""" )

            lowerCAmelCase  						=       """Hello how are you"""
            lowerCAmelCase  						=       tokenizer.phonemize(lowercase      ,						phonemizer_lang="""en-us""" )

            lowerCAmelCase  						=       tokenizer.decode(tokenizer(lowercase ).input_ids      ,						filter_word_delimiter_token=lowercase )

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





      def     _snake_case			(       self )		->     Dict:
            lowerCAmelCase  						=       self.tokenizer_class.from_pretrained(
                """facebook/wav2vec2-lv-60-espeak-cv-ft"""      ,						word_delimiter_token=lowercase )
            lowerCAmelCase  						=       """Hello how are you"""

            lowerCAmelCase  						=       tokenizer(lowercase      ,						phonemizer_lang="""en-us""" ).input_ids
            lowerCAmelCase  						=       tokenizer(lowercase      ,						phonemizer_lang="""fr-fr""" ).input_ids

            self.assertNotEqual(lowercase      ,						lowercase )

            lowerCAmelCase  						=       tokenizer.decode(lowercase )
            lowerCAmelCase  						=       tokenizer.decode(lowercase )

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





      def     _snake_case			(       self )		->     str:
            lowerCAmelCase  						=       self.tokenizer_class.from_pretrained("""facebook/wav2vec2-lv-60-espeak-cv-ft""" )
            lowerCAmelCase  						=       """Hello how Are you"""
            lowerCAmelCase  						=       """hello how are you"""

            lowerCAmelCase  						=       tokenizer(lowercase ).input_ids
            lowerCAmelCase  						=       tokenizer(lowercase ).input_ids

            self.assertEqual(lowercase      ,						lowercase )





      def     _snake_case			(       self )		->     Union[str, Any]:
            lowerCAmelCase  						=       self.tokenizer_class.from_pretrained("""facebook/wav2vec2-lv-60-espeak-cv-ft""" )
            tokenizer.add_tokens(["""!""", """?"""] )
            tokenizer.add_special_tokens({"""cls_token""": """$$$"""} )

            # fmt: off
            lowerCAmelCase  						=       [
                [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

            lowerCAmelCase  						=       tokenizer.batch_decode(lowercase )
            self.assertEqual(lowercase      ,						["""k s ɾ ɾ l ɭʲ!?!? $$$""", """j ð s j ð s oːɹ $$$"""] )





      @staticmethod
      def     _snake_case			(       lowercase      ,						lowercase )		->     Union[str, Any]:
            lowerCAmelCase  						=       [d[key] for d in offsets]
            return retrieved_list





      def     _snake_case			(       self )		->     Tuple:
            lowerCAmelCase  						=       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"
            lowerCAmelCase  						=       [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

            lowerCAmelCase  						=       tokenizer.decode(lowercase      ,						output_char_offsets=lowercase      ,						filter_word_delimiter_token=lowercase )
            # 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(lowercase      ,						lowercase ) )

            # 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     _snake_case			(       self )		->     Dict:
            lowerCAmelCase  						=       self.get_tokenizer(word_delimiter_token="""|""" )

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

                  # transform list to ModelOutput
                  lowerCAmelCase  						=       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(lowercase      ,						lowercase ):
                        if isinstance(lowercase      ,						lowercase ):
                              [recursive_check(lowercase      ,						lowercase ) for la, la in zip(lowercase      ,						lowercase )]
                        self.assertEqual(lowercase      ,						lowercase )

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

        # fmt: off
            lowerCAmelCase  						=       [
                [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
            lowerCAmelCase  						=       tokenizer.batch_decode(lowercase      ,						output_char_offsets=lowercase )
            lowerCAmelCase  						=       [tokenizer.decode(lowercase      ,						output_char_offsets=lowercase ) for ids in sample_ids]
            check_list_tuples_equal(lowercase      ,						lowercase )





      @unittest.skip("""Wav2Vec2PhonemeTokenizer always lower cases letters to correctly map to phonemes""" )
      def     _snake_case			(       self )		->     Optional[Any]:
            pass





      @unittest.skip("""Wav2Vec2PhonemeTokenizer always puts spaces between phonemes""" )
      def     _snake_case			(       self )		->     Any:
            pass





      @unittest.skip("""encodes to text to ids, but decodes ids to phonemes -> not possible to have internal consistency""" )
      def     _snake_case			(       self )		->     Tuple:
            pass





      @unittest.skip("""Wav2Vec2PhonemeModel has no max model length => no testing""" )
      def     _snake_case			(       self )		->     List[Any]:
            pass





      def     _snake_case			(       self )		->     Tuple:
            lowerCAmelCase  						=       self.get_tokenizers(do_lower_case=lowercase )
            for tokenizer in tokenizers:
                  with self.subTest(f'{tokenizer.__class__.__name__}' ):
                        lowerCAmelCase  						=       tokenizer.vocab_size
                        lowerCAmelCase  						=       len(lowercase )

                        self.assertNotEqual(lowercase      ,						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)

                        lowerCAmelCase  						=       ["""aaaaa bbbbbb""", """cccccccccdddddddd"""]
                        lowerCAmelCase  						=       tokenizer.add_tokens(lowercase )
                        lowerCAmelCase  						=       tokenizer.vocab_size
                        lowerCAmelCase  						=       len(lowercase )

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

                        lowerCAmelCase  						=       tokenizer.encode("""aaaaa bbbbbb low cccccccccdddddddd l"""      ,						add_special_tokens=lowercase )

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

                        lowerCAmelCase  						=       {"""eos_token""": """>>>>|||<||<<|<<""", """pad_token""": """<<<<<|||>|>>>>|>"""}
                        lowerCAmelCase  						=       tokenizer.add_special_tokens(lowercase )
                        lowerCAmelCase  						=       tokenizer.vocab_size
                        lowerCAmelCase  						=       len(lowercase )

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

                        lowerCAmelCase  						=       tokenizer.encode(
                            """>>>>|||<||<<|<< aaaaabbbbbb low cccccccccdddddddd <<<<<|||>|>>>>|> l"""      ,						add_special_tokens=lowercase )

                        self.assertGreaterEqual(len(lowercase )      ,						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     _snake_case			(       self )		->     int:
            pass





      @unittest.skip("""The tokenizer shouldn\'t be used to encode input IDs (except for labels), only to decode.""" )
      def     _snake_case			(       self )		->     Tuple:
            pass





      def     _snake_case			(       self )		->     Tuple:
            # The default common tokenizer tests assumes that the output of `convert_tokens_to_string` is a string which
            # is not the case for Wav2Vec2PhonemeCTCTokenizer.
            lowerCAmelCase  						=       self.get_tokenizers(fast=lowercase      ,						do_lower_case=lowercase )
            for tokenizer in tokenizers:
                  with self.subTest(f'{tokenizer.__class__.__name__}' ):
                        lowerCAmelCase  						=       ["""ð""", """ɪ""", """s""", """ɪ""", """z""", """ɐ""", """t""", """ɛ""", """k""", """s""", """t"""]
                        lowerCAmelCase  						=       tokenizer.convert_tokens_to_string(lowercase )

                        self.assertIsInstance(output["""text"""]      ,						lowercase )














import os
import re
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


lowercase  							=					logging.get_logger(__name__)

lowercase  							=					{"vocab_file": "spiece.model"}

lowercase  							=					{
    "vocab_file": {
        "google/bigbird-roberta-base": "https://huggingface.co/google/bigbird-roberta-base/resolve/main/spiece.model",
        "google/bigbird-roberta-large": (
            "https://huggingface.co/google/bigbird-roberta-large/resolve/main/spiece.model"
        ),
        "google/bigbird-base-trivia-itc": (
            "https://huggingface.co/google/bigbird-base-trivia-itc/resolve/main/spiece.model"
        ),
    }
}

lowercase  							=					{
    "google/bigbird-roberta-base": 4096,
    "google/bigbird-roberta-large": 4096,
    "google/bigbird-base-trivia-itc": 4096,
}




class  UpperCamelCase_      (			snake_case_				):



	'''simple docstring'''




	lowerCAmelCase													= VOCAB_FILES_NAMES
	lowerCAmelCase													= PRETRAINED_VOCAB_FILES_MAP
	lowerCAmelCase													= PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	lowerCAmelCase													= ['''input_ids''', '''attention_mask''']
	lowerCAmelCase													= []




	def __init__(       self       ,			a       ,			a="<unk>"       ,			a="<s>"       ,			a="</s>"       ,			a="<pad>"       ,			a="[SEP]"       ,			a="[MASK]"       ,			a="[CLS]"       ,			a = None       ,			**a       ,			)       ->    None:
								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 unk_token
								snake_case_				=							AddedToken(a       ,			lstrip=a       ,			rstrip=a					) if isinstance(a       ,			a					) else pad_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 sep_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

								snake_case_				=							{} if sp_model_kwargs is None else sp_model_kwargs

								super().__init__(
								    bos_token=a       ,			eos_token=a       ,			unk_token=a       ,			pad_token=a       ,			sep_token=a       ,			mask_token=a       ,			cls_token=a       ,			sp_model_kwargs=self.sp_model_kwargs       ,			**a       ,			)

								snake_case_				=							vocab_file

								snake_case_				=							spm.SentencePieceProcessor(**self.sp_model_kwargs					)
								self.sp_model.Load(a					)




	@property
	def 							_UpperCamelCase			(       self					)       ->    Tuple:
								return self.sp_model.get_piece_size()




	def 							_UpperCamelCase			(       self					)       ->    List[Any]:
								snake_case_				=							{self.convert_ids_to_tokens(a					): i for i in range(self.vocab_size					)}
								vocab.update(self.added_tokens_encoder					)
								return vocab




	def __getstate__(       self					)       ->    Optional[int]:
								snake_case_				=							self.__dict__.copy()
								snake_case_				=							None
								return state




	def __setstate__(       self       ,			a					)       ->    Optional[Any]:
								snake_case_				=							d

								# for backward compatibility
								if not hasattr(self       ,			'sp_model_kwargs'					):
															snake_case_				=							{}

								snake_case_				=							spm.SentencePieceProcessor(**self.sp_model_kwargs					)
								self.sp_model.Load(self.vocab_file					)




	def 							_UpperCamelCase			(       self       ,			a					)       ->    List[str]:
								return self.sp_model.encode(a       ,			out_type=a					)




	def 							_UpperCamelCase			(       self       ,			a					)       ->    Dict:
								return self.sp_model.piece_to_id(a					)




	def 							_UpperCamelCase			(       self       ,			a					)       ->    Union[str, Any]:
								snake_case_				=							self.sp_model.IdToPiece(a					)
								return token




	def 							_UpperCamelCase			(       self       ,			a					)       ->    List[Any]:
								snake_case_				=							[]
								snake_case_				=							''
								snake_case_				=							False
								for token in tokens:
															# make sure that special tokens are not decoded using sentencepiece model
															if token in self.all_special_tokens:
																						if not prev_is_special:
																													out_string += " "
																						out_string += self.sp_model.decode(a					) + token
																						snake_case_				=							True
																						snake_case_				=							[]
															else:
																						current_sub_tokens.append(a					)
																						snake_case_				=							False
								out_string += self.sp_model.decode(a					)
								return out_string.strip()




	def 							_UpperCamelCase			(       self       ,			a       ,			a = False       ,			a = None       ,			a = True       ,			**a       ,			)       ->    str:
								snake_case_				=							kwargs.pop('use_source_tokenizer'       ,			a					)

								snake_case_				=							self.convert_ids_to_tokens(a       ,			skip_special_tokens=a					)

								# To avoid mixing byte-level and unicode for byte-level BPT
								# we need to build string separately for added tokens and byte-level tokens
								# cf. https://github.com/huggingface/transformers/issues/1133
								snake_case_				=							[]
								snake_case_				=							[]
								for token in filtered_tokens:
															if skip_special_tokens and token in self.all_special_ids:
																						continue
															if token in self.added_tokens_encoder:
																						if current_sub_text:
																													sub_texts.append(self.convert_tokens_to_string(a					)					)
																													snake_case_				=							[]
																						sub_texts.append(a					)
															else:
																						current_sub_text.append(a					)
								if current_sub_text:
															sub_texts.append(self.convert_tokens_to_string(a					)					)

								# Mimic the behavior of the Rust tokenizer:
								# No space before [MASK] and [SEP]
								if spaces_between_special_tokens:
															snake_case_				=							re.sub(R' (\[(MASK|SEP)\])'       ,			R'\1'       ,			' '.join(a					)					)
								else:
															snake_case_				=							''.join(a					)

								snake_case_				=							(
								    clean_up_tokenization_spaces
								    if clean_up_tokenization_spaces is not None
								    else self.clean_up_tokenization_spaces
								)
								if clean_up_tokenization_spaces:
															snake_case_				=							self.clean_up_tokenization(a					)
															return clean_text
								else:
															return text




	def 							_UpperCamelCase			(       self       ,			a       ,			a = None					)       ->    Tuple[str]:
								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']					)

								if os.path.abspath(self.vocab_file					) != os.path.abspath(a					) and os.path.isfile(self.vocab_file					):
															copyfile(self.vocab_file       ,			a					)
								elif not os.path.isfile(self.vocab_file					):
															with open(a       ,			'wb'					) as fi:
																						snake_case_				=							self.sp_model.serialized_model_proto()
																						fi.write(a					)

								return (out_vocab_file,)




	def 							_UpperCamelCase			(       self       ,			a       ,			a = None					)       ->    List[int]:
								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 + token_ids_a + sep




	def 							_UpperCamelCase			(       self       ,			a       ,			a = None       ,			a = False					)       ->    List[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] + ([0] * len(a					)) + [1]






	def 							_UpperCamelCase			(       self       ,			a       ,			a = None					)       ->    List[int]:
								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					) * [0] + len(token_ids_a + sep					) * [1]





