
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      A__							(     __magic_name__						,   unittest.TestCase	):
				lowercase			    =  WavaVecaPhonemeCTCTokenizer
				lowercase			    =  False






				def 							_lowerCamelCase		(						self					:      int   ):






							'''simple docstring'''







							super().setUp()

							lowerCAmelCase__      :      Tuple         =		(
							    '<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__      :      List[str]         =		dict(zip(a    ,     range(len(a   )   )   )   )

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

							lowerCAmelCase__      :      str         =		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 							_lowerCamelCase		(						self					:      int    ,     a					:      List[str]    ,     a					:      str=False    ,     a					:      Union[str, Any]=20    ,     a					:      Optional[int]=5   ):






							'''simple docstring'''







							lowerCAmelCase__      :      List[str]         =		[(i, tokenizer.decode([i]    ,     clean_up_tokenization_spaces=a   )) for i in range(len(a   )   )]
							lowerCAmelCase__      :      str         =		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:
										lowerCAmelCase__      :      List[Any]         =		toks[:max_length]
							if min_length is not None and len(a   ) < min_length and len(a   ) > 0:
										while len(a   ) < min_length:
													lowerCAmelCase__      :      Optional[int]         =		toks + toks
        # toks_str = [t[1] for t in toks]
							lowerCAmelCase__      :      str         =		[t[0] for t in toks]

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






				def 							_lowerCamelCase		(						self					:      int    ,     **a					:      Dict   ):






							'''simple docstring'''







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






				def 							_lowerCamelCase		(						self					:      Dict   ):






							'''simple docstring'''







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

							# check adding a single token
							tokenizer.add_tokens('xxx'   )
							lowerCAmelCase__      :      Tuple         =		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']   )
							lowerCAmelCase__      :      Union[str, Any]         =		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

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






				def 							_lowerCamelCase		(						self					:      Optional[Any]   ):






							'''simple docstring'''







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

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






				def 							_lowerCamelCase		(						self					:      Optional[int]   ):






							'''simple docstring'''







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

							lowerCAmelCase__      :      Optional[int]         =		'Hello how are you'
							lowerCAmelCase__      :      List[str]         =		tokenizer.phonemize(a    ,     phonemizer_lang='en-us'   )
							self.assertEqual(tokenizer(a   ).input_ids    ,     tokenizer(a    ,     do_phonemize=a   ).input_ids   )






				def 							_lowerCamelCase		(						self					:      Optional[Any]   ):






							'''simple docstring'''







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

							lowerCAmelCase__      :      Union[str, Any]         =		tokenizer.decode(tokenizer(a   ).input_ids   )

							self.assertEqual(a    ,     a   )






				def 							_lowerCamelCase		(						self					:      Optional[int]   ):






							'''simple docstring'''







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

							lowerCAmelCase__      :      str         =		[
							    [11, 5, 15, tokenizer.pad_token_id, 15, 8, 98],
							    [24, 22, 5, 24, 22, 5, 77],
							]
							lowerCAmelCase__      :      Tuple         =		tokenizer.decode(sample_ids[0]   )
							lowerCAmelCase__      :      int         =		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 							_lowerCamelCase		(						self					:      Tuple   ):






							'''simple docstring'''







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

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






				def 							_lowerCamelCase		(						self					:      Optional[Any]   ):






							'''simple docstring'''







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

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






				def 							_lowerCamelCase		(						self					:      int   ):






							'''simple docstring'''







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

							# fmt: off
							lowerCAmelCase__      :      Optional[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
							lowerCAmelCase__      :      Any         =		tokenizer.decode(sample_ids[0]   )
							lowerCAmelCase__      :      Any         =		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
							lowerCAmelCase__      :      Union[str, Any]         =		tokenizer.decode(sample_ids[0]    ,     filter_word_delimiter_token=a   )
							lowerCAmelCase__      :      Tuple         =		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 							_lowerCamelCase		(						self					:      Union[str, Any]   ):






							'''simple docstring'''







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

							lowerCAmelCase__      :      List[Any]         =		'Hello how are you'
							lowerCAmelCase__      :      int         =		tokenizer.phonemize(a    ,     phonemizer_lang='en-us'   )

							lowerCAmelCase__      :      Any         =		tokenizer.decode(tokenizer(a   ).input_ids    ,     filter_word_delimiter_token=a   )

							self.assertEqual(a    ,     a   )






				def 							_lowerCamelCase		(						self					:      List[Any]   ):






							'''simple docstring'''







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

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

							lowerCAmelCase__      :      Union[str, Any]         =		tokenizer.decode(tokenizer(a   ).input_ids    ,     filter_word_delimiter_token=a   )

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






				def 							_lowerCamelCase		(						self					:      List[str]   ):






							'''simple docstring'''







							lowerCAmelCase__      :      List[Any]         =		self.tokenizer_class.from_pretrained(
							    'facebook/wav2vec2-lv-60-espeak-cv-ft'    ,     word_delimiter_token=a   )
							lowerCAmelCase__      :      Dict         =		'Hello how are you'

							lowerCAmelCase__      :      Dict         =		tokenizer(a    ,     phonemizer_lang='en-us'   ).input_ids
							lowerCAmelCase__      :      Dict         =		tokenizer(a    ,     phonemizer_lang='fr-fr'   ).input_ids

							self.assertNotEqual(a    ,     a   )

							lowerCAmelCase__      :      Optional[int]         =		tokenizer.decode(a   )
							lowerCAmelCase__      :      List[str]         =		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 							_lowerCamelCase		(						self					:      Dict   ):






							'''simple docstring'''







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

							lowerCAmelCase__      :      int         =		tokenizer(a   ).input_ids
							lowerCAmelCase__      :      Optional[Any]         =		tokenizer(a   ).input_ids

							self.assertEqual(a    ,     a   )






				def 							_lowerCamelCase		(						self					:      str   ):






							'''simple docstring'''







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

							# fmt: off
							lowerCAmelCase__      :      Union[str, Any]         =		[
							    [11, 5, 15, tokenizer.pad_token_id, 15, 8, 98, 392, 392, 393, 392, 392, 393, 394, 394],
							    [24, 22, 5, 24, 22, 5, 77, tokenizer.pad_token_id, 394, 394],
							]
							# fmt: on

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






				@staticmethod
				def 							_lowerCamelCase		(						a					:      int    ,     a					:      str   ):






							'''simple docstring'''







							lowerCAmelCase__      :      Dict         =		[d[key] for d in offsets]
							return retrieved_list






				def 							_lowerCamelCase		(						self					:      Dict   ):






							'''simple docstring'''







							lowerCAmelCase__      :      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"
							lowerCAmelCase__      :      Dict         =		[11, 5, 5, 5, 15, 15, tokenizer.pad_token_id, 15, 15, tokenizer.word_delimiter_token_id, tokenizer.pad_token_id, 15, 8, 8, 8, tokenizer.word_delimiter_token_id, 98]
							# fmt: on

							lowerCAmelCase__      :      Any         =		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 							_lowerCamelCase		(						self					:      Union[str, Any]   ):






							'''simple docstring'''







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

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

										# transform list to ModelOutput
										lowerCAmelCase__      :      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(a					:      Tuple    ,     a					:      Dict   ):
													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
							lowerCAmelCase__      :      List[str]         =		[
							    [11, 5, 15, tokenizer.pad_token_id, 15, 4, 8, 98, 32, 32, 32, 32, 4, 33, tokenizer.word_delimiter_token_id, 32, 32, 33, 34, 34],
							    [24, 22, 5, tokenizer.word_delimiter_token_id, tokenizer.word_delimiter_token_id, 24, 22, 22, 22, 4, 5, 77, tokenizer.pad_token_id, 22, 22, 4, 34, 34, 34, 34],
							]
							# fmt: on

							# We assume that `decode` works as expected. All we will check now is
							# the output type is correct and the output is identical to `decode`

							# char
							lowerCAmelCase__      :      Any         =		tokenizer.batch_decode(a    ,     output_char_offsets=a   )
							lowerCAmelCase__      :      Optional[int]         =		[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 							_lowerCamelCase		(						self					:      Optional[int]   ):






							'''simple docstring'''







							pass






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






							'''simple docstring'''







							pass






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






							'''simple docstring'''







							pass






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






							'''simple docstring'''







							pass






				def 							_lowerCamelCase		(						self					:      str   ):






							'''simple docstring'''







							lowerCAmelCase__      :      Dict         =		self.get_tokenizers(do_lower_case=a   )
							for tokenizer in tokenizers:
										with self.subTest(f'''{tokenizer.__class__.__name__}'''   ):
													lowerCAmelCase__      :      Dict         =		tokenizer.vocab_size
													lowerCAmelCase__      :      List[str]         =		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)

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

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

													lowerCAmelCase__      :      int         =		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   )

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

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

													lowerCAmelCase__      :      int         =		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 							_lowerCamelCase		(						self					:      List[str]   ):






							'''simple docstring'''







							pass






				@unittest.skip('The tokenizer shouldn\'t be used to encode input IDs (except for labels), only to decode.'   )
				def 							_lowerCamelCase		(						self					:      List[Any]   ):






							'''simple docstring'''







							pass






				def 							_lowerCamelCase		(						self					:      str   ):






							'''simple docstring'''







							lowerCAmelCase__      :      Tuple         =		self.get_tokenizers(fast=a    ,     do_lower_case=a   )
							for tokenizer in tokenizers:
										with self.subTest(f'''{tokenizer.__class__.__name__}'''   ):
													lowerCAmelCase__      :      Dict         =		['ð', 'ɪ', 's', 'ɪ', 'z', 'ɐ', 't', 'ɛ', 'k', 's', 't']
													lowerCAmelCase__      :      str         =		tokenizer.convert_tokens_to_string(a   )

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

import os
from distutils.util import strtobool
def  lowerCAmelCase__			(  SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_     )				->		Optional[Any]:
			for e in env_keys:
						lowerCAmelCase__      :      Union[str, Any]         =		int(os.environ.get(SCREAMING_SNAKE_CASE_       ,							-1     )     )
						if val >= 0:
									return val
			return default
def  lowerCAmelCase__			(  SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_=False     )				->		List[str]:
			lowerCAmelCase__      :      Optional[int]         =		os.environ.get(SCREAMING_SNAKE_CASE_       ,							str(SCREAMING_SNAKE_CASE_     )     )
			return strtobool(SCREAMING_SNAKE_CASE_     ) == 1  # As its name indicates `strtobool` actually returns an int...







def  lowerCAmelCase__			(  SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_="no"     )				->		List[str]:
			lowerCAmelCase__      :      Optional[int]         =		os.environ.get(SCREAMING_SNAKE_CASE_       ,							str(SCREAMING_SNAKE_CASE_     )     )
			return value