



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 	lowerCamelCase      (						lowercase__,     unittest.TestCase  ):







					'''simple docstring'''







					lowerCAmelCase_				:    Tuple									=  WavaVecaPhonemeCTCTokenizer
					lowerCAmelCase_				:    List[Any]									=  False



					def    A__		(			self     ):
							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(lowerCAmelCase    ,	range(len(lowerCAmelCase     )     )     )     )

							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(lowerCAmelCase     ) + "\n"     )



					def    A__		(			self    ,	lowerCAmelCase    ,	lowerCAmelCase=False    ,	lowerCAmelCase=20    ,	lowerCAmelCase=5     ):
							UpperCAmelCase_						=				[(i, tokenizer.decode([i]    ,	clean_up_tokenization_spaces=lowerCAmelCase     )) for i in range(len(lowerCAmelCase     )     )]
							UpperCAmelCase_						=				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:
									UpperCAmelCase_						=				toks[:max_length]
							if min_length is not None and len(lowerCAmelCase     ) < min_length and len(lowerCAmelCase     ) > 0:
									while len(lowerCAmelCase     ) < 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(lowerCAmelCase    ,	clean_up_tokenization_spaces=lowerCAmelCase     )
							if " " not in output_txt and len(lowerCAmelCase     ) > 1:
									UpperCAmelCase_						=				(
									    tokenizer.decode([toks_ids[0]]    ,	clean_up_tokenization_spaces=lowerCAmelCase     )
									    + " "
									    + tokenizer.decode(toks_ids[1:]    ,	clean_up_tokenization_spaces=lowerCAmelCase     )
									)
							if with_prefix_space:
									UpperCAmelCase_						=				" " + output_txt
							UpperCAmelCase_						=				tokenizer.encode(lowerCAmelCase    ,	add_special_tokens=lowerCAmelCase     )
							return output_txt, output_ids



					def    A__		(			self    ,	**lowerCAmelCase     ):
							kwargs.update(self.special_tokens_map     )
							return WavaVecaPhonemeCTCTokenizer.from_pretrained(self.tmpdirname    ,	**lowerCAmelCase     )



					def    A__		(			self     ):
							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=lowerCAmelCase     ).input_ids
							self.assertEqual(lowerCAmelCase    ,	[13, 392, 17]     )  # xxx should be last token

							tokenizer.add_tokens(["aaa", "bbb", "ccc"]     )
							UpperCAmelCase_						=				tokenizer("m aaa ɪ ccc"    ,	do_phonemize=lowerCAmelCase     ).input_ids
							self.assertEqual(lowerCAmelCase    ,	[13, 393, 17, 395]     )  # aaa and ccc should be after xxx and 2 after aaa

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



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

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



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

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



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

							UpperCAmelCase_						=				tokenizer.decode(tokenizer(lowerCAmelCase     ).input_ids     )

							self.assertEqual(lowerCAmelCase    ,	lowerCAmelCase     )



					def    A__		(			self     ):
							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(lowerCAmelCase     )
							self.assertEqual(lowerCAmelCase    ,	batch_tokens[0]     )
							self.assertEqual(lowerCAmelCase    ,	["k s ɾ ɾ l ɭʲ", "j ð s j ð s oːɹ"]     )



					def    A__		(			self     ):
							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(lowerCAmelCase    ,	phonemizer_lang="en-us"     )
							self.assertEqual(lowerCAmelCase    ,	"h ə l oʊ | h aʊ | ɑːɹ | j uː |"     )



					def    A__		(			self     ):
							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(lowerCAmelCase    ,	phonemizer_lang="en-us"     )
							self.assertEqual(tokenizer(lowerCAmelCase     ).input_ids    ,	tokenizer(lowerCAmelCase    ,	do_phonemize=lowerCAmelCase     ).input_ids     )



					def    A__		(			self     ):
							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(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
							UpperCAmelCase_						=				tokenizer.decode(sample_ids[0]    ,	filter_word_delimiter_token=lowerCAmelCase     )
							UpperCAmelCase_						=				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    A__		(			self     ):
							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(lowerCAmelCase    ,	phonemizer_lang="en-us"     )

							UpperCAmelCase_						=				tokenizer.decode(tokenizer(lowerCAmelCase     ).input_ids    ,	filter_word_delimiter_token=lowerCAmelCase     )

							self.assertEqual(lowerCAmelCase    ,	lowerCAmelCase     )



					def    A__		(			self     ):
							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(lowerCAmelCase    ,	phonemizer_lang="en-us"     )

							UpperCAmelCase_						=				tokenizer.decode(tokenizer(lowerCAmelCase     ).input_ids    ,	filter_word_delimiter_token=lowerCAmelCase     )

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



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

							UpperCAmelCase_						=				tokenizer(lowerCAmelCase    ,	phonemizer_lang="en-us"     ).input_ids
							UpperCAmelCase_						=				tokenizer(lowerCAmelCase    ,	phonemizer_lang="fr-fr"     ).input_ids

							self.assertNotEqual(lowerCAmelCase    ,	lowerCAmelCase     )

							UpperCAmelCase_						=				tokenizer.decode(lowerCAmelCase     )
							UpperCAmelCase_						=				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    A__		(			self     ):
							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(lowerCAmelCase     ).input_ids
							UpperCAmelCase_						=				tokenizer(lowerCAmelCase     ).input_ids

							self.assertEqual(lowerCAmelCase    ,	lowerCAmelCase     )



					def    A__		(			self     ):
							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(lowerCAmelCase     )
							self.assertEqual(lowerCAmelCase    ,	["k s ɾ ɾ l ɭʲ!?!? $$$", "j ð s j ð s oːɹ $$$"]     )



					@staticmethod
					def    A__		(			lowerCAmelCase    ,	lowerCAmelCase     ):
							UpperCAmelCase_						=				[d[key] for d in offsets]
							return retrieved_list



					def    A__		(			self     ):
							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(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    A__		(			self     ):
							UpperCAmelCase_						=				self.get_tokenizer(word_delimiter_token="|"     )

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

									# 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(lowerCAmelCase    ,	lowerCAmelCase     ):
											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
							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(lowerCAmelCase    ,	output_char_offsets=lowerCAmelCase     )
							UpperCAmelCase_						=				[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    A__		(			self     ):
							pass



					@unittest.skip("Wav2Vec2PhonemeTokenizer always puts spaces between phonemes"     )
					def    A__		(			self     ):
							pass



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



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



					def    A__		(			self     ):
							UpperCAmelCase_						=				self.get_tokenizers(do_lower_case=lowerCAmelCase     )
							for tokenizer in tokenizers:
									with self.subTest(f'''{tokenizer.__class__.__name__}'''     ):
											UpperCAmelCase_						=				tokenizer.vocab_size
											UpperCAmelCase_						=				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)

											UpperCAmelCase_						=				["aaaaa bbbbbb", "cccccccccdddddddd"]
											UpperCAmelCase_						=				tokenizer.add_tokens(lowerCAmelCase     )
											UpperCAmelCase_						=				tokenizer.vocab_size
											UpperCAmelCase_						=				len(lowerCAmelCase     )

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

											UpperCAmelCase_						=				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     )

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

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

											UpperCAmelCase_						=				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    A__		(			self     ):
							pass



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



					def    A__		(			self     ):
							# 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=lowerCAmelCase    ,	do_lower_case=lowerCAmelCase     )
							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(lowerCAmelCase     )

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






import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_distilbert import DistilBertTokenizer


SCREAMING_SNAKE_CASE     				=						logging.get_logger(__name__)

SCREAMING_SNAKE_CASE     				=						{"vocab_file": "vocab.txt", "tokenizer_file": "tokenizer.json"}

SCREAMING_SNAKE_CASE     				=						{
    "vocab_file": {
        "distilbert-base-uncased": "https://huggingface.co/distilbert-base-uncased/resolve/main/vocab.txt",
        "distilbert-base-uncased-distilled-squad": (
            "https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/vocab.txt"
        ),
        "distilbert-base-cased": "https://huggingface.co/distilbert-base-cased/resolve/main/vocab.txt",
        "distilbert-base-cased-distilled-squad": (
            "https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/vocab.txt"
        ),
        "distilbert-base-german-cased": "https://huggingface.co/distilbert-base-german-cased/resolve/main/vocab.txt",
        "distilbert-base-multilingual-cased": (
            "https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/vocab.txt"
        ),
    },
    "tokenizer_file": {
        "distilbert-base-uncased": "https://huggingface.co/distilbert-base-uncased/resolve/main/tokenizer.json",
        "distilbert-base-uncased-distilled-squad": (
            "https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/tokenizer.json"
        ),
        "distilbert-base-cased": "https://huggingface.co/distilbert-base-cased/resolve/main/tokenizer.json",
        "distilbert-base-cased-distilled-squad": (
            "https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/tokenizer.json"
        ),
        "distilbert-base-german-cased": (
            "https://huggingface.co/distilbert-base-german-cased/resolve/main/tokenizer.json"
        ),
        "distilbert-base-multilingual-cased": (
            "https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/tokenizer.json"
        ),
    },
}

SCREAMING_SNAKE_CASE     				=						{
    "distilbert-base-uncased": 512,
    "distilbert-base-uncased-distilled-squad": 512,
    "distilbert-base-cased": 512,
    "distilbert-base-cased-distilled-squad": 512,
    "distilbert-base-german-cased": 512,
    "distilbert-base-multilingual-cased": 512,
}


SCREAMING_SNAKE_CASE     				=						{
    "distilbert-base-uncased": {"do_lower_case": True},
    "distilbert-base-uncased-distilled-squad": {"do_lower_case": True},
    "distilbert-base-cased": {"do_lower_case": False},
    "distilbert-base-cased-distilled-squad": {"do_lower_case": False},
    "distilbert-base-german-cased": {"do_lower_case": False},
    "distilbert-base-multilingual-cased": {"do_lower_case": False},
}



class 	lowerCamelCase      (						lowercase__  ):







					'''simple docstring'''







					lowerCAmelCase_				:    Any									=  VOCAB_FILES_NAMES
					lowerCAmelCase_				:    List[str]									=  PRETRAINED_VOCAB_FILES_MAP
					lowerCAmelCase_				:    str									=  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					lowerCAmelCase_				:    Union[str, Any]									=  PRETRAINED_INIT_CONFIGURATION
					lowerCAmelCase_				:    int									=  ['input_ids', 'attention_mask']
					lowerCAmelCase_				:    str									=  DistilBertTokenizer



					def __init__(			self    ,	lowerCAmelCase=None    ,	lowerCAmelCase=None    ,	lowerCAmelCase=True    ,	lowerCAmelCase="[UNK]"    ,	lowerCAmelCase="[SEP]"    ,	lowerCAmelCase="[PAD]"    ,	lowerCAmelCase="[CLS]"    ,	lowerCAmelCase="[MASK]"    ,	lowerCAmelCase=True    ,	lowerCAmelCase=None    ,	**lowerCAmelCase    ,	):
							super().__init__(
							    lowerCAmelCase    ,	tokenizer_file=lowerCAmelCase    ,	do_lower_case=lowerCAmelCase    ,	unk_token=lowerCAmelCase    ,	sep_token=lowerCAmelCase    ,	pad_token=lowerCAmelCase    ,	cls_token=lowerCAmelCase    ,	mask_token=lowerCAmelCase    ,	tokenize_chinese_chars=lowerCAmelCase    ,	strip_accents=lowerCAmelCase    ,	**lowerCAmelCase    ,	)

							UpperCAmelCase_						=				json.loads(self.backend_tokenizer.normalizer.__getstate__()     )
							if (
							    normalizer_state.get("lowercase"    ,	lowerCAmelCase     ) != do_lower_case
							    or normalizer_state.get("strip_accents"    ,	lowerCAmelCase     ) != strip_accents
							    or normalizer_state.get("handle_chinese_chars"    ,	lowerCAmelCase     ) != tokenize_chinese_chars
							):
									UpperCAmelCase_						=				getattr(lowerCAmelCase    ,	normalizer_state.pop("type"     )     )
									UpperCAmelCase_						=				do_lower_case
									UpperCAmelCase_						=				strip_accents
									UpperCAmelCase_						=				tokenize_chinese_chars
									UpperCAmelCase_						=				normalizer_class(**lowerCAmelCase     )

							UpperCAmelCase_						=				do_lower_case



					def    A__		(			self    ,	lowerCAmelCase    ,	lowerCAmelCase=None     ):
							UpperCAmelCase_						=				[self.cls_token_id] + token_ids_a + [self.sep_token_id]

							if token_ids_a:
									output += token_ids_a + [self.sep_token_id]

							return output



					def    A__		(			self    ,	lowerCAmelCase    ,	lowerCAmelCase = None     ):
							UpperCAmelCase_						=				[self.sep_token_id]
							UpperCAmelCase_						=				[self.cls_token_id]
							if token_ids_a is None:
									return len(cls + token_ids_a + sep     ) * [0]
							return len(cls + token_ids_a + sep     ) * [0] + len(token_ids_a + sep     ) * [1]



					def    A__		(			self    ,	lowerCAmelCase    ,	lowerCAmelCase = None     ):
							UpperCAmelCase_						=				self._tokenizer.model.save(lowerCAmelCase    ,	name=lowerCAmelCase     )
							return tuple(lowerCAmelCase     )

