





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				(							a_		,			unittest.TestCase     ):



						"""simple docstring"""

						_UpperCamelCase  :	List[Any]								=	WavaVecaPhonemeCTCTokenizer
						_UpperCamelCase  :	Optional[Any]								=	False







						def 		__UpperCAmelCase       (    self			:		List[Any]					):





										'''simple docstring'''







										super().setUp()

										_snake_case :			List[str]  						=   (
										    '<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(' '					)
										_snake_case :			Union[str, Any]  						=   dict(zip(lowerCamelCase_ ,				range(len(lowerCamelCase_					)					)					)					)

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

										_snake_case :			List[Any]  						=   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(lowerCamelCase_					) + '\n'					)







						def 		__UpperCAmelCase       (    self			:		Optional[Any] ,				lowerCamelCase_			:		int ,				lowerCamelCase_			:		Dict=False ,				lowerCamelCase_			:		Union[str, Any]=20 ,				lowerCamelCase_			:		Tuple=5					):





										'''simple docstring'''







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

										# Ensure consistency
										_snake_case :			Optional[Any]  						=   tokenizer.decode(lowerCamelCase_ ,				clean_up_tokenization_spaces=lowerCamelCase_					)
										if " " not in output_txt and len(lowerCamelCase_					) > 1:
														_snake_case :			List[Any]  						=   (
														    tokenizer.decode([toks_ids[0]] ,				clean_up_tokenization_spaces=lowerCamelCase_					)
														    + ' '
														    + tokenizer.decode(toks_ids[1:] ,				clean_up_tokenization_spaces=lowerCamelCase_					)
														)
										if with_prefix_space:
														_snake_case :			Union[str, Any]  						=   ' ' + output_txt
										_snake_case :			Any  						=   tokenizer.encode(lowerCamelCase_ ,				add_special_tokens=lowerCamelCase_					)
										return output_txt, output_ids







						def 		__UpperCAmelCase       (    self			:		Optional[int] ,				**lowerCamelCase_			:		List[str]					):





										'''simple docstring'''







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







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





										'''simple docstring'''







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

										# check adding a single token
										tokenizer.add_tokens('xxx'					)
										_snake_case :			Optional[int]  						=   tokenizer('m xxx ɪ' ,				do_phonemize=lowerCamelCase_					).input_ids
										self.assertEqual(lowerCamelCase_ ,				[13, 3_92, 17]					)  # xxx should be last token

										tokenizer.add_tokens(['aaa', 'bbb', 'ccc']					)
										_snake_case :			Any  						=   tokenizer('m aaa ɪ ccc' ,				do_phonemize=lowerCamelCase_					).input_ids
										self.assertEqual(lowerCamelCase_ ,				[13, 3_93, 17, 3_95]					)  # aaa and ccc should be after xxx and 2 after aaa

										_snake_case :			List[str]  						=   tokenizer('maɪ c' ,				do_phonemize=lowerCamelCase_					).input_ids
										self.assertEqual(lowerCamelCase_ ,				[3, 2_00]					)  # mai should be <unk> (=3)







						def 		__UpperCAmelCase       (    self			:		List[Any]					):





										'''simple docstring'''







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

										_snake_case :			Optional[Any]  						=   'Hello how are you'
										_snake_case :			int  						=   tokenizer.phonemize(lowerCamelCase_ ,				phonemizer_lang='en-us'					)
										self.assertEqual(lowerCamelCase_ ,				'h ə l oʊ h aʊ ɑːɹ j uː'					)







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





										'''simple docstring'''







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

										_snake_case :			Tuple  						=   'Hello how are you'
										_snake_case :			List[Any]  						=   tokenizer.phonemize(lowerCamelCase_ ,				phonemizer_lang='en-us'					)
										self.assertEqual(tokenizer(lowerCamelCase_					).input_ids ,				tokenizer(lowerCamelCase_ ,				do_phonemize=lowerCamelCase_					).input_ids					)







						def 		__UpperCAmelCase       (    self			:		Optional[int]					):





										'''simple docstring'''







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

										_snake_case :			int  						=   tokenizer.decode(tokenizer(lowerCamelCase_					).input_ids					)

										self.assertEqual(lowerCamelCase_ ,				lowerCamelCase_					)







						def 		__UpperCAmelCase       (    self			:		Optional[int]					):





										'''simple docstring'''







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

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







						def 		__UpperCAmelCase       (    self			:		Optional[int]					):





										'''simple docstring'''







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

										_snake_case :			Any  						=   'Hello how are you'
										_snake_case :			int  						=   tokenizer.phonemize(lowerCamelCase_ ,				phonemizer_lang='en-us'					)
										self.assertEqual(lowerCamelCase_ ,				'h ə l oʊ | h aʊ | ɑːɹ | j uː |'					)







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





										'''simple docstring'''







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

										_snake_case :			Optional[Any]  						=   'Hello how are you'
										_snake_case :			str  						=   tokenizer.phonemize(lowerCamelCase_ ,				phonemizer_lang='en-us'					)
										self.assertEqual(tokenizer(lowerCamelCase_					).input_ids ,				tokenizer(lowerCamelCase_ ,				do_phonemize=lowerCamelCase_					).input_ids					)







						def 		__UpperCAmelCase       (    self			:		Optional[int]					):





										'''simple docstring'''







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

										# fmt: off
										_snake_case :			List[Any]  						=   [
										    [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
										_snake_case :			Tuple  						=   tokenizer.decode(sample_ids[0]					)
										_snake_case :			Optional[Any]  						=   tokenizer.batch_decode(lowerCamelCase_					)
										self.assertEqual(lowerCamelCase_ ,				batch_tokens[0]					)
										self.assertEqual(lowerCamelCase_ ,				['k s ɾ ɾ l ɭʲ', 'j ð s j ð s oːɹ']					)

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







						def 		__UpperCAmelCase       (    self			:		Any					):





										'''simple docstring'''







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

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

										_snake_case :			str  						=   tokenizer.decode(tokenizer(lowerCamelCase_					).input_ids ,				filter_word_delimiter_token=lowerCamelCase_					)

										self.assertEqual(lowerCamelCase_ ,				lowerCamelCase_					)







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





										'''simple docstring'''







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

										_snake_case :			Any  						=   'Hello how are you'
										_snake_case :			Optional[int]  						=   tokenizer.phonemize(lowerCamelCase_ ,				phonemizer_lang='en-us'					)

										_snake_case :			Optional[int]  						=   tokenizer.decode(tokenizer(lowerCamelCase_					).input_ids ,				filter_word_delimiter_token=lowerCamelCase_					)

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







						def 		__UpperCAmelCase       (    self			:		List[str]					):





										'''simple docstring'''







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

										_snake_case :			Optional[Any]  						=   tokenizer(lowerCamelCase_ ,				phonemizer_lang='en-us'					).input_ids
										_snake_case :			Any  						=   tokenizer(lowerCamelCase_ ,				phonemizer_lang='fr-fr'					).input_ids

										self.assertNotEqual(lowerCamelCase_ ,				lowerCamelCase_					)

										_snake_case :			Any  						=   tokenizer.decode(lowerCamelCase_					)
										_snake_case :			Union[str, Any]  						=   tokenizer.decode(lowerCamelCase_					)

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







						def 		__UpperCAmelCase       (    self			:		List[Any]					):





										'''simple docstring'''







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

										_snake_case :			Dict  						=   tokenizer(lowerCamelCase_					).input_ids
										_snake_case :			Optional[Any]  						=   tokenizer(lowerCamelCase_					).input_ids

										self.assertEqual(lowerCamelCase_ ,				lowerCamelCase_					)







						def 		__UpperCAmelCase       (    self			:		Tuple					):





										'''simple docstring'''







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

										# fmt: off
										_snake_case :			Any  						=   [
										    [11, 5, 15, tokenizer.pad_token_id, 15, 8, 98, 3_92, 3_92, 3_93, 3_92, 3_92, 3_93, 3_94, 3_94],
										    [24, 22, 5, 24, 22, 5, 77, tokenizer.pad_token_id, 3_94, 3_94],
										]
										# fmt: on

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







						@staticmethod
						def 		__UpperCAmelCase       (    lowerCamelCase_			:		List[Any] ,				lowerCamelCase_			:		List[str]					):





										'''simple docstring'''







										_snake_case :			str  						=   [d[key] for d in offsets]
										return retrieved_list







						def 		__UpperCAmelCase       (    self			:		Optional[Any]					):





										'''simple docstring'''







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

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

										_snake_case :			Any  						=   tokenizer.decode(lowerCamelCase_ ,				output_char_offsets=lowerCamelCase_ ,				filter_word_delimiter_token=lowerCamelCase_					)
										# 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(lowerCamelCase_ ,				lowerCamelCase_					)					)

										# 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			:		Union[str, Any]					):





										'''simple docstring'''







										_snake_case :			Dict  						=   self.get_tokenizer(word_delimiter_token='|'					)

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

														# transform list to ModelOutput
														_snake_case :			Dict  						=   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(lowerCamelCase_			:		Dict ,				lowerCamelCase_			:		int					):
																		if isinstance(lowerCamelCase_ ,				lowerCamelCase_					):
																						[recursive_check(lowerCamelCase_ ,				lowerCamelCase_					) for la, la in zip(lowerCamelCase_ ,				lowerCamelCase_					)]
																		self.assertEqual(lowerCamelCase_ ,				lowerCamelCase_					)

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

        # fmt: off
										_snake_case :			Any  						=   [
										    [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
										_snake_case :			Tuple  						=   tokenizer.batch_decode(lowerCamelCase_ ,				output_char_offsets=lowerCamelCase_					)
										_snake_case :			Union[str, Any]  						=   [tokenizer.decode(lowerCamelCase_ ,				output_char_offsets=lowerCamelCase_					) for ids in sample_ids]
										check_list_tuples_equal(lowerCamelCase_ ,				lowerCamelCase_					)







						@unittest.skip('Wav2Vec2PhonemeTokenizer always lower cases letters to correctly map to phonemes'					)
						def 		__UpperCAmelCase       (    self			:		int					):





										'''simple docstring'''







										pass







						@unittest.skip('Wav2Vec2PhonemeTokenizer always puts spaces between phonemes'					)
						def 		__UpperCAmelCase       (    self			:		List[str]					):





										'''simple docstring'''







										pass







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





										'''simple docstring'''







										pass







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





										'''simple docstring'''







										pass







						def 		__UpperCAmelCase       (    self			:		str					):





										'''simple docstring'''







										_snake_case :			List[Any]  						=   self.get_tokenizers(do_lower_case=lowerCamelCase_					)
										for tokenizer in tokenizers:
														with self.subTest(f'''{tokenizer.__class__.__name__}'''					):
																		_snake_case :			int  						=   tokenizer.vocab_size
																		_snake_case :			Union[str, Any]  						=   len(lowerCamelCase_					)

																		self.assertNotEqual(lowerCamelCase_ ,				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)

																		_snake_case :			Optional[int]  						=   ['aaaaa bbbbbb', 'cccccccccdddddddd']
																		_snake_case :			List[str]  						=   tokenizer.add_tokens(lowerCamelCase_					)
																		_snake_case :			Any  						=   tokenizer.vocab_size
																		_snake_case :			Dict  						=   len(lowerCamelCase_					)

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

																		_snake_case :			List[str]  						=   tokenizer.encode('aaaaa bbbbbb low cccccccccdddddddd l' ,				add_special_tokens=lowerCamelCase_					)

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

																		_snake_case :			List[str]  						=   {'eos_token': '>>>>|||<||<<|<<', 'pad_token': '<<<<<|||>|>>>>|>'}
																		_snake_case :			int  						=   tokenizer.add_special_tokens(lowerCamelCase_					)
																		_snake_case :			List[str]  						=   tokenizer.vocab_size
																		_snake_case :			str  						=   len(lowerCamelCase_					)

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

																		_snake_case :			Dict  						=   tokenizer.encode(
																		    '>>>>|||<||<<|<< aaaaabbbbbb low cccccccccdddddddd <<<<<|||>|>>>>|> l' ,				add_special_tokens=lowerCamelCase_					)

																		self.assertGreaterEqual(len(lowerCamelCase_					) ,				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			:		Optional[int]					):





										'''simple docstring'''







										pass







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





										'''simple docstring'''







										pass







						def 		__UpperCAmelCase       (    self			:		List[str]					):





										'''simple docstring'''







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

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













def       A__(		__lowerCAmelCase ):

				if not isinstance(__lowerCAmelCase	,			__lowerCAmelCase ):
								raise TypeError('only integers accepted as input' )
				else:
								_snake_case :			Any  						=   str(abs(__lowerCAmelCase ) )
								_snake_case :			List[str]  						=   [list(__lowerCAmelCase ) for char in range(len(__lowerCAmelCase ) )]
								for index in range(len(__lowerCAmelCase ) ):
												num_transpositions[index].pop(__lowerCAmelCase )
								return max(
								    int(''.join(list(__lowerCAmelCase ) ) ) for transposition in num_transpositions )


if __name__ == "__main__":
		__import__('''doctest''').testmod()






