






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 							_UpperCamelCase			(a_							,		unittest.TestCase			):
      snake_case_  =							WavaVecaPhonemeCTCTokenizer
      snake_case_  =							False


      def  __UpperCAmelCase		(	self	)->	str:
           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(__UpperCamelCase					,						range(len(__UpperCamelCase	)	)	)	)

           __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(__UpperCamelCase	) + "\n"	)


      def  __UpperCAmelCase		(	self					,						__UpperCamelCase					,						__UpperCamelCase=False					,						__UpperCamelCase=2_0					,						__UpperCamelCase=5	)->	Tuple[str, list]:
           __lowerCAmelCase								=					[(i, tokenizer.decode([i]					,						clean_up_tokenization_spaces=__UpperCamelCase	)) for i in range(len(__UpperCamelCase	)	)]
           __lowerCAmelCase								=					list(filter(lambda __UpperCamelCase	: [t[0]] == tokenizer.encode(t[1]					,						do_phonemize=__UpperCamelCase	)					,						__UpperCamelCase	)	)
           if max_length is not None and len(__UpperCamelCase	) > max_length:
                __lowerCAmelCase								=					toks[:max_length]
           if min_length is not None and len(__UpperCamelCase	) < min_length and len(__UpperCamelCase	) > 0:
                while len(__UpperCamelCase	) < 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(__UpperCamelCase					,						clean_up_tokenization_spaces=__UpperCamelCase	)
           if " " not in output_txt and len(__UpperCamelCase	) > 1:
                __lowerCAmelCase								=					(
                    tokenizer.decode([toks_ids[0]]					,						clean_up_tokenization_spaces=__UpperCamelCase	)
                    + " "
                    + tokenizer.decode(toks_ids[1:]					,						clean_up_tokenization_spaces=__UpperCamelCase	)
                )
           if with_prefix_space:
                __lowerCAmelCase								=					" " + output_txt
           __lowerCAmelCase								=					tokenizer.encode(__UpperCamelCase					,						add_special_tokens=__UpperCamelCase	)
           return output_txt, output_ids


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


      def  __UpperCAmelCase		(	self	)->	Dict:
           __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=__UpperCamelCase	).input_ids
           self.assertEqual(__UpperCamelCase					,						[1_3, 3_9_2, 1_7]	)  # xxx should be last token

           tokenizer.add_tokens(["aaa", "bbb", "ccc"]	)
           __lowerCAmelCase								=					tokenizer("m aaa ɪ ccc"					,						do_phonemize=__UpperCamelCase	).input_ids
           self.assertEqual(__UpperCamelCase					,						[1_3, 3_9_3, 1_7, 3_9_5]	)  # aaa and ccc should be after xxx and 2 after aaa

           __lowerCAmelCase								=					tokenizer("maɪ c"					,						do_phonemize=__UpperCamelCase	).input_ids
           self.assertEqual(__UpperCamelCase					,						[3, 2_0_0]	)  # mai should be <unk> (=3)


      def  __UpperCAmelCase		(	self	)->	Union[str, Any]:
           __lowerCAmelCase								=					self.tokenizer_class.from_pretrained("facebook/wav2vec2-lv-60-espeak-cv-ft"	)

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


      def  __UpperCAmelCase		(	self	)->	Optional[Any]:
           __lowerCAmelCase								=					self.tokenizer_class.from_pretrained("facebook/wav2vec2-lv-60-espeak-cv-ft"	)

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


      def  __UpperCAmelCase		(	self	)->	Tuple:
           __lowerCAmelCase								=					self.tokenizer_class.from_pretrained("facebook/wav2vec2-lv-60-espeak-cv-ft"	)
           __lowerCAmelCase								=					"Hello how are you"
           __lowerCAmelCase								=					tokenizer.phonemize(__UpperCamelCase					,						phonemizer_lang="en-us"	)

           __lowerCAmelCase								=					tokenizer.decode(tokenizer(__UpperCamelCase	).input_ids	)

           self.assertEqual(__UpperCamelCase					,						__UpperCamelCase	)


      def  __UpperCAmelCase		(	self	)->	Dict:
           __lowerCAmelCase								=					self.tokenizer_class.from_pretrained("facebook/wav2vec2-lv-60-espeak-cv-ft"	)

           __lowerCAmelCase								=					[
               [1_1, 5, 1_5, tokenizer.pad_token_id, 1_5, 8, 9_8],
               [2_4, 2_2, 5, 2_4, 2_2, 5, 7_7],
           ]
           __lowerCAmelCase								=					tokenizer.decode(sample_ids[0]	)
           __lowerCAmelCase								=					tokenizer.batch_decode(__UpperCamelCase	)
           self.assertEqual(__UpperCamelCase					,						batch_tokens[0]	)
           self.assertEqual(__UpperCamelCase					,						["k s ɾ ɾ l ɭʲ", "j ð s j ð s oːɹ"]	)


      def  __UpperCAmelCase		(	self	)->	str:
           __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(__UpperCamelCase					,						phonemizer_lang="en-us"	)
           self.assertEqual(__UpperCamelCase					,						"h ə l oʊ | h aʊ | ɑːɹ | j uː |"	)


      def  __UpperCAmelCase		(	self	)->	Dict:
           __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(__UpperCamelCase					,						phonemizer_lang="en-us"	)
           self.assertEqual(tokenizer(__UpperCamelCase	).input_ids					,						tokenizer(__UpperCamelCase					,						do_phonemize=__UpperCamelCase	).input_ids	)


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

           # fmt: off
           __lowerCAmelCase								=					[
               [1_1, 5, 1_5, tokenizer.pad_token_id, tokenizer.word_delimiter_token_id, 1_5, 8, tokenizer.word_delimiter_token_id, 9_8],
               [tokenizer.word_delimiter_token_id, 2_4, 2_2, tokenizer.word_delimiter_token_id, 5, 2_4, 2_2, 5, 7_7],
           ]
           # fmt: on

           # decode with word_del_token filter
           __lowerCAmelCase								=					tokenizer.decode(sample_ids[0]	)
           __lowerCAmelCase								=					tokenizer.batch_decode(__UpperCamelCase	)
           self.assertEqual(__UpperCamelCase					,						batch_tokens[0]	)
           self.assertEqual(__UpperCamelCase					,						["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=__UpperCamelCase	)
           __lowerCAmelCase								=					tokenizer.batch_decode(__UpperCamelCase					,						filter_word_delimiter_token=__UpperCamelCase	)
           self.assertEqual(__UpperCamelCase					,						batch_tokens[0]	)
           self.assertEqual(__UpperCamelCase					,						["k s ɾ | ɾ l | ɭʲ", "| j ð | s j ð s oːɹ"]	)


      def  __UpperCAmelCase		(	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(__UpperCamelCase					,						phonemizer_lang="en-us"	)

           __lowerCAmelCase								=					tokenizer.decode(tokenizer(__UpperCamelCase	).input_ids					,						filter_word_delimiter_token=__UpperCamelCase	)

           self.assertEqual(__UpperCamelCase					,						__UpperCamelCase	)


      def  __UpperCAmelCase		(	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(__UpperCamelCase					,						phonemizer_lang="en-us"	)

           __lowerCAmelCase								=					tokenizer.decode(tokenizer(__UpperCamelCase	).input_ids					,						filter_word_delimiter_token=__UpperCamelCase	)

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


      def  __UpperCAmelCase		(	self	)->	Optional[int]:
           __lowerCAmelCase								=					self.tokenizer_class.from_pretrained(
               "facebook/wav2vec2-lv-60-espeak-cv-ft"					,						word_delimiter_token=__UpperCamelCase	)
           __lowerCAmelCase								=					"Hello how are you"

           __lowerCAmelCase								=					tokenizer(__UpperCamelCase					,						phonemizer_lang="en-us"	).input_ids
           __lowerCAmelCase								=					tokenizer(__UpperCamelCase					,						phonemizer_lang="fr-fr"	).input_ids

           self.assertNotEqual(__UpperCamelCase					,						__UpperCamelCase	)

           __lowerCAmelCase								=					tokenizer.decode(__UpperCamelCase	)
           __lowerCAmelCase								=					tokenizer.decode(__UpperCamelCase	)

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


      def  __UpperCAmelCase		(	self	)->	Any:
           __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(__UpperCamelCase	).input_ids
           __lowerCAmelCase								=					tokenizer(__UpperCamelCase	).input_ids

           self.assertEqual(__UpperCamelCase					,						__UpperCamelCase	)


      def  __UpperCAmelCase		(	self	)->	Optional[int]:
           __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								=					[
               [1_1, 5, 1_5, tokenizer.pad_token_id, 1_5, 8, 9_8, 3_9_2, 3_9_2, 3_9_3, 3_9_2, 3_9_2, 3_9_3, 3_9_4, 3_9_4],
               [2_4, 2_2, 5, 2_4, 2_2, 5, 7_7, tokenizer.pad_token_id, 3_9_4, 3_9_4],
           ]
           # fmt: on

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


      @staticmethod
      def  __UpperCAmelCase		(	__UpperCamelCase					,						__UpperCamelCase	)->	Union[str, Any]:
           __lowerCAmelCase								=					[d[key] for d in offsets]
           return retrieved_list


      def  __UpperCAmelCase		(	self	)->	Any:
           __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								=					[1_1, 5, 5, 5, 1_5, 1_5, tokenizer.pad_token_id, 1_5, 1_5, tokenizer.word_delimiter_token_id, tokenizer.pad_token_id, 1_5, 8, 8, 8, tokenizer.word_delimiter_token_id, 9_8]
           # fmt: on

           __lowerCAmelCase								=					tokenizer.decode(__UpperCamelCase					,						output_char_offsets=__UpperCamelCase					,						filter_word_delimiter_token=__UpperCamelCase	)
           # 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(__UpperCamelCase					,						__UpperCamelCase	)	)

           # 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, 1_1, 1_2, 1_5, 1_6]	)
           self.assertListEqual(
               self.get_from_offsets(outputs["char_offsets"]					,						"end_offset"	)					,						[1, 4, 6, 9, 1_0, 1_2, 1_5, 1_6, 1_7]	)


      def  __UpperCAmelCase		(	self	)->	Dict:
           __lowerCAmelCase								=					self.get_tokenizer(word_delimiter_token="|"	)

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

                # 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(__UpperCamelCase					,						__UpperCamelCase	):
                     if isinstance(__UpperCamelCase					,						__UpperCamelCase	):
                          [recursive_check(__UpperCamelCase					,						__UpperCamelCase	) for la, la in zip(__UpperCamelCase					,						__UpperCamelCase	)]
                     self.assertEqual(__UpperCamelCase					,						__UpperCamelCase	)

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

        # fmt: off
           __lowerCAmelCase								=					[
               [1_1, 5, 1_5, tokenizer.pad_token_id, 1_5, 4, 8, 9_8, 3_2, 3_2, 3_2, 3_2, 4, 3_3, tokenizer.word_delimiter_token_id, 3_2, 3_2, 3_3, 3_4, 3_4],
               [2_4, 2_2, 5, tokenizer.word_delimiter_token_id, tokenizer.word_delimiter_token_id, 2_4, 2_2, 2_2, 2_2, 4, 5, 7_7, tokenizer.pad_token_id, 2_2, 2_2, 4, 3_4, 3_4, 3_4, 3_4],
           ]
           # 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(__UpperCamelCase					,						output_char_offsets=__UpperCamelCase	)
           __lowerCAmelCase								=					[tokenizer.decode(__UpperCamelCase					,						output_char_offsets=__UpperCamelCase	) for ids in sample_ids]
           check_list_tuples_equal(__UpperCamelCase					,						__UpperCamelCase	)


      @unittest.skip("Wav2Vec2PhonemeTokenizer always lower cases letters to correctly map to phonemes"	)
      def  __UpperCAmelCase		(	self	)->	Dict:
           pass


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


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


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


      def  __UpperCAmelCase		(	self	)->	Tuple:
           __lowerCAmelCase								=					self.get_tokenizers(do_lower_case=__UpperCamelCase	)
           for tokenizer in tokenizers:
                with self.subTest(F"""{tokenizer.__class__.__name__}"""	):
                     __lowerCAmelCase								=					tokenizer.vocab_size
                     __lowerCAmelCase								=					len(__UpperCamelCase	)

                     self.assertNotEqual(__UpperCamelCase					,						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(__UpperCamelCase	)
                     __lowerCAmelCase								=					tokenizer.vocab_size
                     __lowerCAmelCase								=					len(__UpperCamelCase	)

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

                     __lowerCAmelCase								=					tokenizer.encode("aaaaa bbbbbb low cccccccccdddddddd l"					,						add_special_tokens=__UpperCamelCase	)

                     self.assertGreaterEqual(len(__UpperCamelCase	)					,						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(__UpperCamelCase	)
                     __lowerCAmelCase								=					tokenizer.vocab_size
                     __lowerCAmelCase								=					len(__UpperCamelCase	)

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

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

                     self.assertGreaterEqual(len(__UpperCamelCase	)					,						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  __UpperCAmelCase		(	self	)->	Dict:
           pass


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


      def  __UpperCAmelCase		(	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=__UpperCamelCase					,						do_lower_case=__UpperCamelCase	)
           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(__UpperCamelCase	)

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














from __future__ import annotations





def       __lowerCAmelCase      (						__snake_case					, __snake_case					, __snake_case       ):
     __lowerCAmelCase								=					list(range(len(__snake_case       )       )       )
     __lowerCAmelCase								=					[v / w for v, w in zip(__snake_case					, __snake_case       )]
     index.sort(key=lambda __snake_case       : ratio[i]					, reverse=__snake_case       )

     __lowerCAmelCase								=					0
     __lowerCAmelCase								=					[0] * len(__snake_case       )
     for i in index:
          if weight[i] <= capacity:
               __lowerCAmelCase								=					1
               max_value += value[i]
               capacity -= weight[i]
          else:
               __lowerCAmelCase								=					capacity / weight[i]
               max_value += value[i] * capacity / weight[i]
               break

     return max_value, fractions


if __name__ == "__main__":
 import doctest

 doctest.testmod()






