






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 		_snake_case  (  A__   ,    unittest.TestCase					):
			_lowercase		:    Optional[Any]			     =							WavaVecaPhonemeCTCTokenizer
			_lowercase		:    List[str]			     =							False






			def    SCREAMING_SNAKE_CASE__    (       self)      ->       List[Any]:
						super().setUp()

						SCREAMING_SNAKE_CASE						= (
						    '<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(' ')
						SCREAMING_SNAKE_CASE						= dict(zip(a		,					range(len(a))))

						SCREAMING_SNAKE_CASE						= {'pad_token': '<pad>', 'unk_token': '<unk>', 'bos_token': '<s>', 'eos_token': '</s>'}

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

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






			def    SCREAMING_SNAKE_CASE__    (       self		,					**a)      ->       Union[str, Any]:
						kwargs.update(self.special_tokens_map)
						return WavaVecaPhonemeCTCTokenizer.from_pretrained(self.tmpdirname		,					**a)






			def    SCREAMING_SNAKE_CASE__    (       self)      ->       Any:
						SCREAMING_SNAKE_CASE						= self.tokenizer_class.from_pretrained('facebook/wav2vec2-lv-60-espeak-cv-ft')

						# check adding a single token
						tokenizer.add_tokens('xxx')
						SCREAMING_SNAKE_CASE						= 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'])
						SCREAMING_SNAKE_CASE						= 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

						SCREAMING_SNAKE_CASE						= tokenizer('maɪ c'		,					do_phonemize=a).input_ids
						self.assertEqual(a		,					[3, 200])  # mai should be <unk> (=3)






			def    SCREAMING_SNAKE_CASE__    (       self)      ->       Optional[int]:
						SCREAMING_SNAKE_CASE						= self.tokenizer_class.from_pretrained('facebook/wav2vec2-lv-60-espeak-cv-ft')

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






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

						SCREAMING_SNAKE_CASE						= 'Hello how are you'
						SCREAMING_SNAKE_CASE						= tokenizer.phonemize(a		,					phonemizer_lang='en-us')
						self.assertEqual(tokenizer(a).input_ids		,					tokenizer(a		,					do_phonemize=a).input_ids)






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

						SCREAMING_SNAKE_CASE						= tokenizer.decode(tokenizer(a).input_ids)

						self.assertEqual(a		,					a)






			def    SCREAMING_SNAKE_CASE__    (       self)      ->       Tuple:
						SCREAMING_SNAKE_CASE						= self.tokenizer_class.from_pretrained('facebook/wav2vec2-lv-60-espeak-cv-ft')

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

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






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

						SCREAMING_SNAKE_CASE						= 'Hello how are you'
						SCREAMING_SNAKE_CASE						= tokenizer.phonemize(a		,					phonemizer_lang='en-us')
						self.assertEqual(tokenizer(a).input_ids		,					tokenizer(a		,					do_phonemize=a).input_ids)






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

						# fmt: off
						SCREAMING_SNAKE_CASE						= [
						    [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
						SCREAMING_SNAKE_CASE						= tokenizer.decode(sample_ids[0])
						SCREAMING_SNAKE_CASE						= 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
						SCREAMING_SNAKE_CASE						= tokenizer.decode(sample_ids[0]		,					filter_word_delimiter_token=a)
						SCREAMING_SNAKE_CASE						= 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    SCREAMING_SNAKE_CASE__    (       self)      ->       str:
						SCREAMING_SNAKE_CASE						= self.tokenizer_class.from_pretrained(
						    'facebook/wav2vec2-lv-60-espeak-cv-ft'		,					word_delimiter_token='|')
						tokenizer.add_tokens('|')

						SCREAMING_SNAKE_CASE						= 'Hello how are you'
						SCREAMING_SNAKE_CASE						= tokenizer.phonemize(a		,					phonemizer_lang='en-us')

						SCREAMING_SNAKE_CASE						= tokenizer.decode(tokenizer(a).input_ids		,					filter_word_delimiter_token=a)

						self.assertEqual(a		,					a)






			def    SCREAMING_SNAKE_CASE__    (       self)      ->       List[str]:
						SCREAMING_SNAKE_CASE						= self.tokenizer_class.from_pretrained(
						    'facebook/wav2vec2-lv-60-espeak-cv-ft'		,					word_delimiter_token='|')
						tokenizer.add_tokens('|')

						SCREAMING_SNAKE_CASE						= 'Hello how are you'
						SCREAMING_SNAKE_CASE						= tokenizer.phonemize(a		,					phonemizer_lang='en-us')

						SCREAMING_SNAKE_CASE						= tokenizer.decode(tokenizer(a).input_ids		,					filter_word_delimiter_token=a)

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






			def    SCREAMING_SNAKE_CASE__    (       self)      ->       Union[str, Any]:
						SCREAMING_SNAKE_CASE						= self.tokenizer_class.from_pretrained(
						    'facebook/wav2vec2-lv-60-espeak-cv-ft'		,					word_delimiter_token=a)
						SCREAMING_SNAKE_CASE						= 'Hello how are you'

						SCREAMING_SNAKE_CASE						= tokenizer(a		,					phonemizer_lang='en-us').input_ids
						SCREAMING_SNAKE_CASE						= tokenizer(a		,					phonemizer_lang='fr-fr').input_ids

						self.assertNotEqual(a		,					a)

						SCREAMING_SNAKE_CASE						= tokenizer.decode(a)
						SCREAMING_SNAKE_CASE						= 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    SCREAMING_SNAKE_CASE__    (       self)      ->       List[Any]:
						SCREAMING_SNAKE_CASE						= self.tokenizer_class.from_pretrained('facebook/wav2vec2-lv-60-espeak-cv-ft')
						SCREAMING_SNAKE_CASE						= 'Hello how Are you'
						SCREAMING_SNAKE_CASE						= 'hello how are you'

						SCREAMING_SNAKE_CASE						= tokenizer(a).input_ids
						SCREAMING_SNAKE_CASE						= tokenizer(a).input_ids

						self.assertEqual(a		,					a)






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

						# fmt: off
						SCREAMING_SNAKE_CASE						= [
						    [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

						SCREAMING_SNAKE_CASE						= tokenizer.batch_decode(a)
						self.assertEqual(a		,					['k s ɾ ɾ l ɭʲ!?!? $$$', 'j ð s j ð s oːɹ $$$'])






			@staticmethod
			def    SCREAMING_SNAKE_CASE__    (       a		,					a)      ->       Optional[Any]:
						SCREAMING_SNAKE_CASE						= [d[key] for d in offsets]
						return retrieved_list






			def    SCREAMING_SNAKE_CASE__    (       self)      ->       int:
						SCREAMING_SNAKE_CASE						= 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"
						SCREAMING_SNAKE_CASE						= [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

						SCREAMING_SNAKE_CASE						= 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    SCREAMING_SNAKE_CASE__    (       self)      ->       Optional[Any]:
						SCREAMING_SNAKE_CASE						= self.get_tokenizer(word_delimiter_token='|')

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

									# transform list to ModelOutput
									SCREAMING_SNAKE_CASE						= 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		,					a):
												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
						SCREAMING_SNAKE_CASE						= [
						    [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
						SCREAMING_SNAKE_CASE						= tokenizer.batch_decode(a		,					output_char_offsets=a)
						SCREAMING_SNAKE_CASE						= [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    SCREAMING_SNAKE_CASE__    (       self)      ->       Dict:
						pass






			@unittest.skip('Wav2Vec2PhonemeTokenizer always puts spaces between phonemes')
			def    SCREAMING_SNAKE_CASE__    (       self)      ->       Union[str, Any]:
						pass






			@unittest.skip('encodes to text to ids, but decodes ids to phonemes -> not possible to have internal consistency')
			def    SCREAMING_SNAKE_CASE__    (       self)      ->       Optional[Any]:
						pass






			@unittest.skip('Wav2Vec2PhonemeModel has no max model length => no testing')
			def    SCREAMING_SNAKE_CASE__    (       self)      ->       str:
						pass






			def    SCREAMING_SNAKE_CASE__    (       self)      ->       int:
						SCREAMING_SNAKE_CASE						= self.get_tokenizers(do_lower_case=a)
						for tokenizer in tokenizers:
									with self.subTest(f'''{tokenizer.__class__.__name__}'''):
												SCREAMING_SNAKE_CASE						= tokenizer.vocab_size
												SCREAMING_SNAKE_CASE						= 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)

												SCREAMING_SNAKE_CASE						= ['aaaaa bbbbbb', 'cccccccccdddddddd']
												SCREAMING_SNAKE_CASE						= tokenizer.add_tokens(a)
												SCREAMING_SNAKE_CASE						= tokenizer.vocab_size
												SCREAMING_SNAKE_CASE						= len(a)

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

												SCREAMING_SNAKE_CASE						= 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)

												SCREAMING_SNAKE_CASE						= {'eos_token': '>>>>|||<||<<|<<', 'pad_token': '<<<<<|||>|>>>>|>'}
												SCREAMING_SNAKE_CASE						= tokenizer.add_special_tokens(a)
												SCREAMING_SNAKE_CASE						= tokenizer.vocab_size
												SCREAMING_SNAKE_CASE						= len(a)

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

												SCREAMING_SNAKE_CASE						= 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    SCREAMING_SNAKE_CASE__    (       self)      ->       Any:
						pass






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







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

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












from abc import ABC, abstractmethod
from typing import List, Optional

class 		_snake_case  (  A__					):






			def __init__(       self)      ->       int:
						# test for the above condition
						self.test()






			def    SCREAMING_SNAKE_CASE__    (       self)      ->       Tuple:
						SCREAMING_SNAKE_CASE						= 0
						SCREAMING_SNAKE_CASE						= False
						while not completed:
									if counter == 1:
												self.reset()
									SCREAMING_SNAKE_CASE						= self.advance()
									if not self.does_advance(a):
												raise Exception(
												    'Custom Constraint is not defined correctly. self.does_advance(self.advance()) must be true.')

									SCREAMING_SNAKE_CASE				,						SCREAMING_SNAKE_CASE				,						SCREAMING_SNAKE_CASE						= self.update(a)
									counter += 1

									if counter > 1_0000:
												raise Exception('update() does not fulfill the constraint.')

						if self.remaining() != 0:
									raise Exception('Custom Constraint is not defined correctly.')






			@abstractmethod
			def    SCREAMING_SNAKE_CASE__    (       self)      ->       Optional[int]:
						raise NotImplementedError(
						    f'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.''')






			@abstractmethod
			def    SCREAMING_SNAKE_CASE__    (       self		,					a)      ->       List[Any]:
						raise NotImplementedError(
						    f'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.''')






			@abstractmethod
			def    SCREAMING_SNAKE_CASE__    (       self		,					a)      ->       Dict:
						raise NotImplementedError(
						    f'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.''')






			@abstractmethod
			def    SCREAMING_SNAKE_CASE__    (       self)      ->       Optional[int]:
						raise NotImplementedError(
						    f'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.''')






			@abstractmethod
			def    SCREAMING_SNAKE_CASE__    (       self)      ->       Dict:
						raise NotImplementedError(
						    f'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.''')







			@abstractmethod
			def    SCREAMING_SNAKE_CASE__    (       self		,					a=False)      ->       int:
						raise NotImplementedError(
						    f'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.''')



class 		_snake_case  (  A__					):






			def __init__(       self		,					a)      ->       Dict:
						super(a		,					self).__init__()

						if not isinstance(a		,					a) or len(a) == 0:
									raise ValueError(f'''`token_ids` has to be a non-empty list, but is {token_ids}.''')
						if any((not isinstance(a		,					a) or token_id < 0) for token_id in token_ids):
									raise ValueError(f'''Each list in `token_ids` has to be a list of positive integers, but is {token_ids}.''')

						SCREAMING_SNAKE_CASE						= token_ids

						SCREAMING_SNAKE_CASE						= len(self.token_ids)
						SCREAMING_SNAKE_CASE						= -1  # the index of the currently fulfilled step
						SCREAMING_SNAKE_CASE						= False






			def    SCREAMING_SNAKE_CASE__    (       self)      ->       Optional[Any]:
						if self.completed:
									return None
						return self.token_ids[self.fulfilled_idx + 1]






			def    SCREAMING_SNAKE_CASE__    (       self		,					a)      ->       Any:
						if not isinstance(a		,					a):
									raise ValueError(f'''`token_id` has to be an `int`, but is {token_id} of type {type(a)}''')

						if self.completed:
									return False

						return token_id == self.token_ids[self.fulfilled_idx + 1]






			def    SCREAMING_SNAKE_CASE__    (       self		,					a)      ->       Optional[int]:
						if not isinstance(a		,					a):
									raise ValueError(f'''`token_id` has to be an `int`, but is {token_id} of type {type(a)}''')

						SCREAMING_SNAKE_CASE						= False
						SCREAMING_SNAKE_CASE						= False
						SCREAMING_SNAKE_CASE						= False

						if self.does_advance(a):
									self.fulfilled_idx += 1
									SCREAMING_SNAKE_CASE						= True
									if self.fulfilled_idx == (self.seqlen - 1):
												SCREAMING_SNAKE_CASE						= True
									SCREAMING_SNAKE_CASE						= completed
						else:
									# failed to make progress.
									SCREAMING_SNAKE_CASE						= True
									self.reset()
						return stepped, completed, reset






			def    SCREAMING_SNAKE_CASE__    (       self)      ->       Any:
						SCREAMING_SNAKE_CASE						= False
						SCREAMING_SNAKE_CASE						= 0






			def    SCREAMING_SNAKE_CASE__    (       self)      ->       Any:
						return self.seqlen - (self.fulfilled_idx + 1)







			def    SCREAMING_SNAKE_CASE__    (       self		,					a=False)      ->       int:
						SCREAMING_SNAKE_CASE						= PhrasalConstraint(self.token_ids)

						if stateful:
									SCREAMING_SNAKE_CASE						= self.seqlen
									SCREAMING_SNAKE_CASE						= self.fulfilled_idx
									SCREAMING_SNAKE_CASE						= self.completed

						return new_constraint



class 		_snake_case  :






			def __init__(       self		,					a		,					a=True)      ->       Tuple:
						SCREAMING_SNAKE_CASE						= max([len(a) for one in nested_token_ids])

						SCREAMING_SNAKE_CASE						= {}
						for token_ids in nested_token_ids:
									SCREAMING_SNAKE_CASE						= root
									for tidx, token_id in enumerate(a):
												if token_id not in level:
															SCREAMING_SNAKE_CASE						= {}

												SCREAMING_SNAKE_CASE						= level[token_id]

						if no_subsets and self.has_subsets(a		,					a):
									raise ValueError(
									    'Each list in `nested_token_ids` can\'t be a complete subset of another list, but is'
									    f''' {nested_token_ids}.''')

						SCREAMING_SNAKE_CASE						= root






			def    SCREAMING_SNAKE_CASE__    (       self		,					a)      ->       Union[str, Any]:
						SCREAMING_SNAKE_CASE						= self.trie

						for current_token in current_seq:
									SCREAMING_SNAKE_CASE						= start[current_token]

						SCREAMING_SNAKE_CASE						= list(start.keys())

						return next_tokens






			def    SCREAMING_SNAKE_CASE__    (       self		,					a)      ->       int:
						SCREAMING_SNAKE_CASE						= self.next_tokens(a)

						return len(a) == 0






			def    SCREAMING_SNAKE_CASE__    (       self		,					a)      ->       int:
						SCREAMING_SNAKE_CASE						= list(root.values())
						if len(a) == 0:
									return 1
						else:
									return sum([self.count_leaves(a) for nn in next_nodes])







			def    SCREAMING_SNAKE_CASE__    (       self		,					a		,					a)      ->       Optional[int]:
						SCREAMING_SNAKE_CASE						= self.count_leaves(a)
						return len(a) != leaf_count



class 		_snake_case  (  A__					):






			def __init__(       self		,					a)      ->       Dict:
						super(a		,					self).__init__()

						if not isinstance(a		,					a) or len(a) == 0:
									raise ValueError(f'''`nested_token_ids` has to be a non-empty list, but is {nested_token_ids}.''')
						if any(not isinstance(a		,					a) for token_ids in nested_token_ids):
									raise ValueError(f'''`nested_token_ids` has to be a list of lists, but is {nested_token_ids}.''')
						if any(
						    any((not isinstance(a		,					a) or token_id < 0) for token_id in token_ids)
						    for token_ids in nested_token_ids):
									raise ValueError(
									    f'''Each list in `nested_token_ids` has to be a list of positive integers, but is {nested_token_ids}.''')

						SCREAMING_SNAKE_CASE						= DisjunctiveTrie(a)
						SCREAMING_SNAKE_CASE						= nested_token_ids

						SCREAMING_SNAKE_CASE						= self.trie.max_height
						SCREAMING_SNAKE_CASE						= []
						SCREAMING_SNAKE_CASE						= False






			def    SCREAMING_SNAKE_CASE__    (       self)      ->       Optional[int]:
						SCREAMING_SNAKE_CASE						= self.trie.next_tokens(self.current_seq)

						if len(a) == 0:
									return None
						else:
									return token_list






			def    SCREAMING_SNAKE_CASE__    (       self		,					a)      ->       List[str]:
						if not isinstance(a		,					a):
									raise ValueError(f'''`token_id` is supposed to be type `int`, but is {token_id} of type {type(a)}''')

						SCREAMING_SNAKE_CASE						= self.trie.next_tokens(self.current_seq)

						return token_id in next_tokens






			def    SCREAMING_SNAKE_CASE__    (       self		,					a)      ->       List[Any]:
						if not isinstance(a		,					a):
									raise ValueError(f'''`token_id` is supposed to be type `int`, but is {token_id} of type {type(a)}''')

						SCREAMING_SNAKE_CASE						= False
						SCREAMING_SNAKE_CASE						= False
						SCREAMING_SNAKE_CASE						= False

						if self.does_advance(a):
									self.current_seq.append(a)
									SCREAMING_SNAKE_CASE						= True
						else:
									SCREAMING_SNAKE_CASE						= True
									self.reset()

						SCREAMING_SNAKE_CASE						= self.trie.reached_leaf(self.current_seq)
						SCREAMING_SNAKE_CASE						= completed

						return stepped, completed, reset






			def    SCREAMING_SNAKE_CASE__    (       self)      ->       List[Any]:
						SCREAMING_SNAKE_CASE						= False
						SCREAMING_SNAKE_CASE						= []






			def    SCREAMING_SNAKE_CASE__    (       self)      ->       Dict:
						if self.completed:
									# since this can be completed without reaching max height
									return 0
						else:
									return self.seqlen - len(self.current_seq)







			def    SCREAMING_SNAKE_CASE__    (       self		,					a=False)      ->       Union[str, Any]:
						SCREAMING_SNAKE_CASE						= DisjunctiveConstraint(self.token_ids)

						if stateful:
									SCREAMING_SNAKE_CASE						= self.seqlen
									SCREAMING_SNAKE_CASE						= self.current_seq
									SCREAMING_SNAKE_CASE						= self.completed

						return new_constraint



class 		_snake_case  :






			def __init__(       self		,					a)      ->       Union[str, Any]:
						SCREAMING_SNAKE_CASE						= constraints

						# max # of steps required to fulfill a given constraint
						SCREAMING_SNAKE_CASE						= max([c.seqlen for c in constraints])
						SCREAMING_SNAKE_CASE						= len(a)
						SCREAMING_SNAKE_CASE						= False

						self.init_state()






			def    SCREAMING_SNAKE_CASE__    (       self)      ->       Optional[int]:
						SCREAMING_SNAKE_CASE						= []
						SCREAMING_SNAKE_CASE						= None
						SCREAMING_SNAKE_CASE						= [constraint.copy(stateful=a) for constraint in self.constraints]






			def    SCREAMING_SNAKE_CASE__    (       self)      ->       Union[str, Any]:
						SCREAMING_SNAKE_CASE						= 0
						if self.inprogress_constraint:
									# extra points for having a constraint mid-fulfilled
									add += self.max_seqlen - self.inprogress_constraint.remaining()

						return (len(self.complete_constraints) * self.max_seqlen) + add






			def    SCREAMING_SNAKE_CASE__    (       self)      ->       Union[str, Any]:
						SCREAMING_SNAKE_CASE						= []
						if self.inprogress_constraint is None:
									for constraint in self.pending_constraints:  # "pending" == "unfulfilled yet"
												SCREAMING_SNAKE_CASE						= constraint.advance()
												if isinstance(a		,					a):
															token_list.append(a)
												elif isinstance(a		,					a):
															token_list.extend(a)
						else:
									SCREAMING_SNAKE_CASE						= self.inprogress_constraint.advance()
									if isinstance(a		,					a):
												token_list.append(a)
									elif isinstance(a		,					a):
												token_list.extend(a)

						if len(a) == 0:
									return None
						else:
									return token_list






			def    SCREAMING_SNAKE_CASE__    (       self		,					a)      ->       int:
						self.init_state()

						if token_ids is not None:
									for token in token_ids:
												# completes or steps **one** constraint
												SCREAMING_SNAKE_CASE				,						SCREAMING_SNAKE_CASE						= self.add(a)

												# the entire list of constraints are fulfilled
												if self.completed:
															break






			def    SCREAMING_SNAKE_CASE__    (       self		,					a)      ->       Union[str, Any]:
						if not isinstance(a		,					a):
									raise ValueError(f'''`token_id` should be an `int`, but is `{token_id}`.''')

						SCREAMING_SNAKE_CASE				,						SCREAMING_SNAKE_CASE						= False, False

						if self.completed:
									SCREAMING_SNAKE_CASE						= True
									SCREAMING_SNAKE_CASE						= False
									return complete, stepped

						if self.inprogress_constraint is not None:
									# In the middle of fulfilling a constraint. If the `token_id` *does* makes an incremental progress to current
									# job, simply update the state

									SCREAMING_SNAKE_CASE				,						SCREAMING_SNAKE_CASE				,						SCREAMING_SNAKE_CASE						= self.inprogress_constraint.update(a)
									if reset:
												# 1. If the next token breaks the progress, then we must restart.
												#     e.g. constraint = "I love pies" and sequence so far is "I love" but `token_id` == "books".

												#     But that doesn't mean we self.init_state(), since we only reset the state for this particular
												#     constraint, not the full list of constraints.

												self.pending_constraints.append(self.inprogress_constraint.copy(stateful=a))
												SCREAMING_SNAKE_CASE						= None

									if complete:
												# 2. If the next token completes the constraint, move it to completed list, set
												#     inprogress to None. If there are no pending constraints either, then this full list of constraints
												#     is complete.

												self.complete_constraints.append(self.inprogress_constraint)
												SCREAMING_SNAKE_CASE						= None

												if len(self.pending_constraints) == 0:
															# we're done!
															SCREAMING_SNAKE_CASE						= True

						else:
									# Not in the middle of fulfilling a constraint. So does this `token_id` helps us step towards any of our list
									# of constraints?

									for cidx, pending_constraint in enumerate(self.pending_constraints):
												if pending_constraint.does_advance(a):
															SCREAMING_SNAKE_CASE				,						SCREAMING_SNAKE_CASE				,						SCREAMING_SNAKE_CASE						= pending_constraint.update(a)

															if not stepped:
																		raise Exception(
																		    '`constraint.update(token_id)` is not yielding incremental progress, '
																		    'even though `constraint.does_advance(token_id)` is true.')

															if complete:
																		self.complete_constraints.append(a)
																		SCREAMING_SNAKE_CASE						= None

															if not complete and stepped:
																		SCREAMING_SNAKE_CASE						= pending_constraint

															if complete or stepped:
																		# If we made any progress at all, then it's at least not a "pending constraint".

																		SCREAMING_SNAKE_CASE						= (
																		    self.pending_constraints[:cidx] + self.pending_constraints[cidx + 1 :]
																		)

																		if len(self.pending_constraints) == 0 and self.inprogress_constraint is None:
																					# If there's no longer any pending after this and no inprogress either, then we must be
																					# complete.

																					SCREAMING_SNAKE_CASE						= True

																		break  # prevent accidentally stepping through multiple constraints with just one token.

						return complete, stepped







			def    SCREAMING_SNAKE_CASE__    (       self		,					a=True)      ->       str:
						SCREAMING_SNAKE_CASE						= ConstraintListState(self.constraints)  # we actually never though self.constraints objects
						# throughout this process. So it's at initialization state.

						if stateful:
									SCREAMING_SNAKE_CASE						= [
									    constraint.copy(stateful=a) for constraint in self.complete_constraints
									]
									if self.inprogress_constraint is not None:
												SCREAMING_SNAKE_CASE						= self.inprogress_constraint.copy(stateful=a)
									SCREAMING_SNAKE_CASE						= [constraint.copy() for constraint in self.pending_constraints]

						return new_state




