

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 						__magic_name__					(							snake_case			,      unittest.TestCase				):
     UpperCamelCase_	:List[str]										=      WavaVecaPhonemeCTCTokenizer
     UpperCamelCase_	:List[Any]										=      False






     def 	UpperCAmelCase_				(				self	)->     int:
         super().setUp()

         UpperCamelCase_			  =						(
             "<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_			  =						dict(zip(_lowercase		,						range(len(_lowercase	)	)	)	)

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

         UpperCamelCase_			  =						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 	UpperCAmelCase_				(				self		,						_lowercase		,						_lowercase=False		,						_lowercase=20		,						_lowercase=5	)->     Tuple[str, list]:
         UpperCamelCase_			  =						[(i, tokenizer.decode([i]		,						clean_up_tokenization_spaces=_lowercase	)) for i in range(len(_lowercase	)	)]
         UpperCamelCase_			  =						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:
             UpperCamelCase_			  =						toks[:max_length]
         if min_length is not None and len(_lowercase	) < min_length and len(_lowercase	) > 0:
             while len(_lowercase	) < min_length:
                 UpperCamelCase_			  =						toks + toks
        # toks_str = [t[1] for t in toks]
         UpperCamelCase_			  =						[t[0] for t in toks]

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






     def 	UpperCAmelCase_				(				self		,						**_lowercase	)->     Dict:
         kwargs.update(self.special_tokens_map	)
         return WavaVecaPhonemeCTCTokenizer.from_pretrained(self.tmpdirname		,						**_lowercase	)






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

         # check adding a single token
         tokenizer.add_tokens("xxx"	)
         UpperCamelCase_			  =						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"]	)
         UpperCamelCase_			  =						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

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






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

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






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

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






     def 	UpperCAmelCase_				(				self	)->     Dict:
         UpperCamelCase_			  =						self.tokenizer_class.from_pretrained("facebook/wav2vec2-lv-60-espeak-cv-ft"	)
         UpperCamelCase_			  =						"Hello how are you"
         UpperCamelCase_			  =						tokenizer.phonemize(_lowercase		,						phonemizer_lang="en-us"	)

         UpperCamelCase_			  =						tokenizer.decode(tokenizer(_lowercase	).input_ids	)

         self.assertEqual(_lowercase		,						_lowercase	)






     def 	UpperCAmelCase_				(				self	)->     List[Any]:
         UpperCamelCase_			  =						self.tokenizer_class.from_pretrained("facebook/wav2vec2-lv-60-espeak-cv-ft"	)

         UpperCamelCase_			  =						[
             [11, 5, 15, tokenizer.pad_token_id, 15, 8, 98],
             [24, 22, 5, 24, 22, 5, 77],
         ]
         UpperCamelCase_			  =						tokenizer.decode(sample_ids[0]	)
         UpperCamelCase_			  =						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 	UpperCAmelCase_				(				self	)->     int:
         UpperCamelCase_			  =						self.tokenizer_class.from_pretrained(
             "facebook/wav2vec2-lv-60-espeak-cv-ft"		,						word_delimiter_token="|"	)
         tokenizer.add_tokens("|"	)

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






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

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






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

         # fmt: off
         UpperCamelCase_			  =						[
             [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_			  =						tokenizer.decode(sample_ids[0]	)
         UpperCamelCase_			  =						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
         UpperCamelCase_			  =						tokenizer.decode(sample_ids[0]		,						filter_word_delimiter_token=_lowercase	)
         UpperCamelCase_			  =						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 	UpperCAmelCase_				(				self	)->     int:
         UpperCamelCase_			  =						self.tokenizer_class.from_pretrained(
             "facebook/wav2vec2-lv-60-espeak-cv-ft"		,						word_delimiter_token="|"	)
         tokenizer.add_tokens("|"	)

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

         UpperCamelCase_			  =						tokenizer.decode(tokenizer(_lowercase	).input_ids		,						filter_word_delimiter_token=_lowercase	)

         self.assertEqual(_lowercase		,						_lowercase	)






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

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

         UpperCamelCase_			  =						tokenizer.decode(tokenizer(_lowercase	).input_ids		,						filter_word_delimiter_token=_lowercase	)

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






     def 	UpperCAmelCase_				(				self	)->     int:
         UpperCamelCase_			  =						self.tokenizer_class.from_pretrained(
             "facebook/wav2vec2-lv-60-espeak-cv-ft"		,						word_delimiter_token=_lowercase	)
         UpperCamelCase_			  =						"Hello how are you"

         UpperCamelCase_			  =						tokenizer(_lowercase		,						phonemizer_lang="en-us"	).input_ids
         UpperCamelCase_			  =						tokenizer(_lowercase		,						phonemizer_lang="fr-fr"	).input_ids

         self.assertNotEqual(_lowercase		,						_lowercase	)

         UpperCamelCase_			  =						tokenizer.decode(_lowercase	)
         UpperCamelCase_			  =						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 	UpperCAmelCase_				(				self	)->     Tuple:
         UpperCamelCase_			  =						self.tokenizer_class.from_pretrained("facebook/wav2vec2-lv-60-espeak-cv-ft"	)
         UpperCamelCase_			  =						"Hello how Are you"
         UpperCamelCase_			  =						"hello how are you"

         UpperCamelCase_			  =						tokenizer(_lowercase	).input_ids
         UpperCamelCase_			  =						tokenizer(_lowercase	).input_ids

         self.assertEqual(_lowercase		,						_lowercase	)






     def 	UpperCAmelCase_				(				self	)->     Optional[int]:
         UpperCamelCase_			  =						self.tokenizer_class.from_pretrained("facebook/wav2vec2-lv-60-espeak-cv-ft"	)
         tokenizer.add_tokens(["!", "?"]	)
         tokenizer.add_special_tokens({"cls_token": "$$$"}	)

         # fmt: off
         UpperCamelCase_			  =						[
             [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_			  =						tokenizer.batch_decode(_lowercase	)
         self.assertEqual(_lowercase		,						["k s ɾ ɾ l ɭʲ!?!? $$$", "j ð s j ð s oːɹ $$$"]	)






     @staticmethod
     def 	UpperCAmelCase_				(				_lowercase		,						_lowercase	)->     str:
         UpperCamelCase_			  =						[d[key] for d in offsets]
         return retrieved_list






     def 	UpperCAmelCase_				(				self	)->     Union[str, Any]:
         UpperCamelCase_			  =						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_			  =						[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_			  =						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 	UpperCAmelCase_				(				self	)->     Any:
         UpperCamelCase_			  =						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
             UpperCamelCase_			  =						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
         UpperCamelCase_			  =						[
             [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_			  =						tokenizer.batch_decode(_lowercase		,						output_char_offsets=_lowercase	)
         UpperCamelCase_			  =						[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 	UpperCAmelCase_				(				self	)->     Optional[int]:
         pass






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






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






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






     def 	UpperCAmelCase_				(				self	)->     Optional[Any]:
         UpperCamelCase_			  =						self.get_tokenizers(do_lower_case=_lowercase	)
         for tokenizer in tokenizers:
             with self.subTest(F"{tokenizer.__class__.__name__}"	):
                 UpperCamelCase_			  =						tokenizer.vocab_size
                 UpperCamelCase_			  =						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)

                 UpperCamelCase_			  =						["aaaaa bbbbbb", "cccccccccdddddddd"]
                 UpperCamelCase_			  =						tokenizer.add_tokens(_lowercase	)
                 UpperCamelCase_			  =						tokenizer.vocab_size
                 UpperCamelCase_			  =						len(_lowercase	)

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

                 UpperCamelCase_			  =						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	)

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

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

                 UpperCamelCase_			  =						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 	UpperCAmelCase_				(				self	)->     Union[str, Any]:
         pass






     @unittest.skip("The tokenizer shouldn't be used to encode input IDs (except for labels), only to decode."	)
     def 	UpperCAmelCase_				(				self	)->     int:
         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.
         UpperCamelCase_			  =						self.get_tokenizers(fast=_lowercase		,						do_lower_case=_lowercase	)
         for tokenizer in tokenizers:
             with self.subTest(F"{tokenizer.__class__.__name__}"	):
                 UpperCamelCase_			  =						["ð", "ɪ", "s", "ɪ", "z", "ɐ", "t", "ɛ", "k", "s", "t"]
                 UpperCamelCase_			  =						tokenizer.convert_tokens_to_string(_lowercase	)

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



def 			lowerCAmelCase(      SCREAMING_SNAKE_CASE_ = 1_0_0_0_0_0_0			)->						int:



    """simple docstring"""






    UpperCamelCase_			  =						[i - 1 for i in range(limit + 1			)]

    for i in range(2			,						limit + 1			):
        if phi[i] == i - 1:
            for j in range(2 * i			,						limit + 1			,						SCREAMING_SNAKE_CASE_			):
                phi[j] -= phi[j] // i

    return sum(phi[2 : limit + 1]			)


if __name__ == "__main__":
 print(solution())
