



"""simple docstring"""






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__     (						__SCREAMING_SNAKE_CASE						,	unittest.TestCase							):




	'''simple docstring'''





	SCREAMING_SNAKE_CASE					   =			WavaVecaPhonemeCTCTokenizer
	SCREAMING_SNAKE_CASE					   =			False

	def 							_SCREAMING_SNAKE_CASE     (  self:	Tuple)       -> List[Any]:

				"""simple docstring"""

				super().setUp()

				__lowerCAmelCase   :						Dict				= (
				    "<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   :						Any				= dict(zip(_SCREAMING_SNAKE_CASE ,    range(len(_SCREAMING_SNAKE_CASE))))

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

				__lowerCAmelCase   :						Union[str, 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(_SCREAMING_SNAKE_CASE) + "\n")

	def 							_SCREAMING_SNAKE_CASE     (  self:	Dict ,    _SCREAMING_SNAKE_CASE:	List[Any] ,    _SCREAMING_SNAKE_CASE:	str=False ,    _SCREAMING_SNAKE_CASE:	Optional[int]=20 ,    _SCREAMING_SNAKE_CASE:	Any=5)       -> Tuple[str, list]:

				"""simple docstring"""

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

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

	def 							_SCREAMING_SNAKE_CASE     (  self:	Tuple ,    **_SCREAMING_SNAKE_CASE:	List[str])       -> Union[str, Any]:

				"""simple docstring"""

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

	def 							_SCREAMING_SNAKE_CASE     (  self:	Optional[Any])       -> Any:

				"""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   :						List[Any]				= tokenizer("m xxx ɪ" ,    do_phonemize=_SCREAMING_SNAKE_CASE).input_ids
				self.assertEqual(_SCREAMING_SNAKE_CASE ,    [13, 392, 17])  # xxx should be last token

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

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

	def 							_SCREAMING_SNAKE_CASE     (  self:	Union[str, Any])       -> int:

				"""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   :						str				= tokenizer.phonemize(_SCREAMING_SNAKE_CASE ,    phonemizer_lang="en-us")
				self.assertEqual(_SCREAMING_SNAKE_CASE ,    "h ə l oʊ h aʊ ɑːɹ j uː")

	def 							_SCREAMING_SNAKE_CASE     (  self:	Dict)       -> Any:

				"""simple docstring"""

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

				__lowerCAmelCase   :						int				= "Hello how are you"
				__lowerCAmelCase   :						str				= tokenizer.phonemize(_SCREAMING_SNAKE_CASE ,    phonemizer_lang="en-us")
				self.assertEqual(tokenizer(_SCREAMING_SNAKE_CASE).input_ids ,    tokenizer(_SCREAMING_SNAKE_CASE ,    do_phonemize=_SCREAMING_SNAKE_CASE).input_ids)

	def 							_SCREAMING_SNAKE_CASE     (  self:	Optional[Any])       -> Tuple:

				"""simple docstring"""

				__lowerCAmelCase   :						int				= self.tokenizer_class.from_pretrained("facebook/wav2vec2-lv-60-espeak-cv-ft")
				__lowerCAmelCase   :						Dict				= "Hello how are you"
				__lowerCAmelCase   :						Tuple				= tokenizer.phonemize(_SCREAMING_SNAKE_CASE ,    phonemizer_lang="en-us")

				__lowerCAmelCase   :						str				= tokenizer.decode(tokenizer(_SCREAMING_SNAKE_CASE).input_ids)

				self.assertEqual(_SCREAMING_SNAKE_CASE ,    _SCREAMING_SNAKE_CASE)

	def 							_SCREAMING_SNAKE_CASE     (  self:	str)       -> Optional[int]:

				"""simple docstring"""

				__lowerCAmelCase   :						Dict				= self.tokenizer_class.from_pretrained("facebook/wav2vec2-lv-60-espeak-cv-ft")

				__lowerCAmelCase   :						Optional[Any]				= [
				    [11, 5, 15, tokenizer.pad_token_id, 15, 8, 98],
				    [24, 22, 5, 24, 22, 5, 77],
				]
				__lowerCAmelCase   :						Dict				= tokenizer.decode(sample_ids[0])
				__lowerCAmelCase   :						str				= tokenizer.batch_decode(_SCREAMING_SNAKE_CASE)
				self.assertEqual(_SCREAMING_SNAKE_CASE ,    batch_tokens[0])
				self.assertEqual(_SCREAMING_SNAKE_CASE ,    ["k s ɾ ɾ l ɭʲ", "j ð s j ð s oːɹ"])

	def 							_SCREAMING_SNAKE_CASE     (  self:	Union[str, Any])       -> int:

				"""simple docstring"""

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

				__lowerCAmelCase   :						Tuple				= "Hello how are you"
				__lowerCAmelCase   :						int				= tokenizer.phonemize(_SCREAMING_SNAKE_CASE ,    phonemizer_lang="en-us")
				self.assertEqual(_SCREAMING_SNAKE_CASE ,    "h ə l oʊ | h aʊ | ɑːɹ | j uː |")

	def 							_SCREAMING_SNAKE_CASE     (  self:	Any)       -> Dict:

				"""simple docstring"""

				__lowerCAmelCase   :						int				= 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   :						str				= tokenizer.phonemize(_SCREAMING_SNAKE_CASE ,    phonemizer_lang="en-us")
				self.assertEqual(tokenizer(_SCREAMING_SNAKE_CASE).input_ids ,    tokenizer(_SCREAMING_SNAKE_CASE ,    do_phonemize=_SCREAMING_SNAKE_CASE).input_ids)

	def 							_SCREAMING_SNAKE_CASE     (  self:	List[Any])       -> str:

				"""simple docstring"""

				__lowerCAmelCase   :						int				= self.tokenizer_class.from_pretrained(
				    "facebook/wav2vec2-lv-60-espeak-cv-ft" ,    word_delimiter_token="|")
				tokenizer.add_tokens("|")

				# fmt: off
				__lowerCAmelCase   :						Union[str, 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   :						List[Any]				= tokenizer.decode(sample_ids[0])
				__lowerCAmelCase   :						List[Any]				= tokenizer.batch_decode(_SCREAMING_SNAKE_CASE)
				self.assertEqual(_SCREAMING_SNAKE_CASE ,    batch_tokens[0])
				self.assertEqual(_SCREAMING_SNAKE_CASE ,    ["k s ɾ ɾ l ɭʲ", "j ð s j ð s oːɹ"])

				# decode with no word_del_token filter
				__lowerCAmelCase   :						Optional[Any]				= tokenizer.decode(sample_ids[0] ,    filter_word_delimiter_token=_SCREAMING_SNAKE_CASE)
				__lowerCAmelCase   :						List[Any]				= tokenizer.batch_decode(_SCREAMING_SNAKE_CASE ,    filter_word_delimiter_token=_SCREAMING_SNAKE_CASE)
				self.assertEqual(_SCREAMING_SNAKE_CASE ,    batch_tokens[0])
				self.assertEqual(_SCREAMING_SNAKE_CASE ,    ["k s ɾ | ɾ l | ɭʲ", "| j ð | s j ð s oːɹ"])

	def 							_SCREAMING_SNAKE_CASE     (  self:	List[str])       -> Union[str, Any]:

				"""simple docstring"""

				__lowerCAmelCase   :						Union[str, 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   :						int				= tokenizer.phonemize(_SCREAMING_SNAKE_CASE ,    phonemizer_lang="en-us")

				__lowerCAmelCase   :						str				= tokenizer.decode(tokenizer(_SCREAMING_SNAKE_CASE).input_ids ,    filter_word_delimiter_token=_SCREAMING_SNAKE_CASE)

				self.assertEqual(_SCREAMING_SNAKE_CASE ,    _SCREAMING_SNAKE_CASE)

	def 							_SCREAMING_SNAKE_CASE     (  self:	List[Any])       -> Optional[Any]:

				"""simple docstring"""

				__lowerCAmelCase   :						str				= 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   :						List[str]				= tokenizer.phonemize(_SCREAMING_SNAKE_CASE ,    phonemizer_lang="en-us")

				__lowerCAmelCase   :						Union[str, Any]				= tokenizer.decode(tokenizer(_SCREAMING_SNAKE_CASE).input_ids ,    filter_word_delimiter_token=_SCREAMING_SNAKE_CASE)

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

	def 							_SCREAMING_SNAKE_CASE     (  self:	Union[str, Any])       -> Optional[int]:

				"""simple docstring"""

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

				__lowerCAmelCase   :						Tuple				= tokenizer(_SCREAMING_SNAKE_CASE ,    phonemizer_lang="en-us").input_ids
				__lowerCAmelCase   :						List[str]				= tokenizer(_SCREAMING_SNAKE_CASE ,    phonemizer_lang="fr-fr").input_ids

				self.assertNotEqual(_SCREAMING_SNAKE_CASE ,    _SCREAMING_SNAKE_CASE)

				__lowerCAmelCase   :						Dict				= tokenizer.decode(_SCREAMING_SNAKE_CASE)
				__lowerCAmelCase   :						int				= tokenizer.decode(_SCREAMING_SNAKE_CASE)

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

	def 							_SCREAMING_SNAKE_CASE     (  self:	Tuple)       -> List[Any]:

				"""simple docstring"""

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

				__lowerCAmelCase   :						List[str]				= tokenizer(_SCREAMING_SNAKE_CASE).input_ids
				__lowerCAmelCase   :						Optional[int]				= tokenizer(_SCREAMING_SNAKE_CASE).input_ids

				self.assertEqual(_SCREAMING_SNAKE_CASE ,    _SCREAMING_SNAKE_CASE)

	def 							_SCREAMING_SNAKE_CASE     (  self:	Optional[int])       -> str:

				"""simple docstring"""

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

				# fmt: off
				__lowerCAmelCase   :						Optional[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   :						List[str]				= tokenizer.batch_decode(_SCREAMING_SNAKE_CASE)
				self.assertEqual(_SCREAMING_SNAKE_CASE ,    ["k s ɾ ɾ l ɭʲ!?!? $$$", "j ð s j ð s oːɹ $$$"])

	@staticmethod
	def 							_SCREAMING_SNAKE_CASE     (  _SCREAMING_SNAKE_CASE:	Any ,    _SCREAMING_SNAKE_CASE:	List[Any])       -> Optional[int]:

				"""simple docstring"""

				__lowerCAmelCase   :						int				= [d[key] for d in offsets]
				return retrieved_list

	def 							_SCREAMING_SNAKE_CASE     (  self:	Optional[int])       -> Optional[Any]:

				"""simple docstring"""

				__lowerCAmelCase   :						List[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   :						Optional[int]				= tokenizer.decode(_SCREAMING_SNAKE_CASE ,    output_char_offsets=_SCREAMING_SNAKE_CASE ,    filter_word_delimiter_token=_SCREAMING_SNAKE_CASE)
				# 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(_SCREAMING_SNAKE_CASE ,    _SCREAMING_SNAKE_CASE))

				# 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])       -> Optional[int]:

				"""simple docstring"""

				__lowerCAmelCase   :						str				= self.get_tokenizer(word_delimiter_token="|")

				def check_list_tuples_equal(_SCREAMING_SNAKE_CASE:	List[Any] ,    _SCREAMING_SNAKE_CASE:	Union[str, Any]):
							self.assertTrue(isinstance(_SCREAMING_SNAKE_CASE ,    _SCREAMING_SNAKE_CASE))
							self.assertTrue(isinstance(outputs_list[0] ,    _SCREAMING_SNAKE_CASE))

							# transform list to ModelOutput
							__lowerCAmelCase   :						Tuple				= 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(_SCREAMING_SNAKE_CASE:	Dict ,    _SCREAMING_SNAKE_CASE:	str):
										if isinstance(_SCREAMING_SNAKE_CASE ,    _SCREAMING_SNAKE_CASE):
													[recursive_check(_SCREAMING_SNAKE_CASE ,    _SCREAMING_SNAKE_CASE) for la, la in zip(_SCREAMING_SNAKE_CASE ,    _SCREAMING_SNAKE_CASE)]
										self.assertEqual(_SCREAMING_SNAKE_CASE ,    _SCREAMING_SNAKE_CASE)

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

        # fmt: off
				__lowerCAmelCase   :						Dict				= [
				    [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   :						int				= tokenizer.batch_decode(_SCREAMING_SNAKE_CASE ,    output_char_offsets=_SCREAMING_SNAKE_CASE)
				__lowerCAmelCase   :						Optional[int]				= [tokenizer.decode(_SCREAMING_SNAKE_CASE ,    output_char_offsets=_SCREAMING_SNAKE_CASE) for ids in sample_ids]
				check_list_tuples_equal(_SCREAMING_SNAKE_CASE ,    _SCREAMING_SNAKE_CASE)

	@unittest.skip("Wav2Vec2PhonemeTokenizer always lower cases letters to correctly map to phonemes")
	def 							_SCREAMING_SNAKE_CASE     (  self:	List[Any])       -> Any:

				"""simple docstring"""

				pass

	@unittest.skip("Wav2Vec2PhonemeTokenizer always puts spaces between phonemes")
	def 							_SCREAMING_SNAKE_CASE     (  self:	Optional[int])       -> int:

				"""simple docstring"""

				pass

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

				"""simple docstring"""

				pass

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

				"""simple docstring"""

				pass

	def 							_SCREAMING_SNAKE_CASE     (  self:	Dict)       -> Tuple:

				"""simple docstring"""

				__lowerCAmelCase   :						List[Any]				= self.get_tokenizers(do_lower_case=_SCREAMING_SNAKE_CASE)
				for tokenizer in tokenizers:
							with self.subTest(F"""{tokenizer.__class__.__name__}"""):
										__lowerCAmelCase   :						Optional[Any]				= tokenizer.vocab_size
										__lowerCAmelCase   :						int				= len(_SCREAMING_SNAKE_CASE)

										self.assertNotEqual(_SCREAMING_SNAKE_CASE ,    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   :						Tuple				= ["aaaaa bbbbbb", "cccccccccdddddddd"]
										__lowerCAmelCase   :						Optional[int]				= tokenizer.add_tokens(_SCREAMING_SNAKE_CASE)
										__lowerCAmelCase   :						Union[str, Any]				= tokenizer.vocab_size
										__lowerCAmelCase   :						Union[str, Any]				= len(_SCREAMING_SNAKE_CASE)

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

										__lowerCAmelCase   :						List[Any]				= tokenizer.encode("aaaaa bbbbbb low cccccccccdddddddd l" ,    add_special_tokens=_SCREAMING_SNAKE_CASE)

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

										__lowerCAmelCase   :						Tuple				= {"eos_token": ">>>>|||<||<<|<<", "pad_token": "<<<<<|||>|>>>>|>"}
										__lowerCAmelCase   :						Any				= tokenizer.add_special_tokens(_SCREAMING_SNAKE_CASE)
										__lowerCAmelCase   :						str				= tokenizer.vocab_size
										__lowerCAmelCase   :						List[Any]				= len(_SCREAMING_SNAKE_CASE)

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

										__lowerCAmelCase   :						Optional[int]				= tokenizer.encode(
										    ">>>>|||<||<<|<< aaaaabbbbbb low cccccccccdddddddd <<<<<|||>|>>>>|> l" ,    add_special_tokens=_SCREAMING_SNAKE_CASE)

										self.assertGreaterEqual(len(_SCREAMING_SNAKE_CASE) ,    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:	List[str])       -> Any:

				"""simple docstring"""

				pass

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

				"""simple docstring"""

				pass







	def 							_SCREAMING_SNAKE_CASE     (  self:	Any)       -> Tuple:

				"""simple docstring"""

				__lowerCAmelCase   :						List[str]				= self.get_tokenizers(fast=_SCREAMING_SNAKE_CASE ,    do_lower_case=_SCREAMING_SNAKE_CASE)
				for tokenizer in tokenizers:
							with self.subTest(F"""{tokenizer.__class__.__name__}"""):
										__lowerCAmelCase   :						Union[str, Any]				= ["ð", "ɪ", "s", "ɪ", "z", "ɐ", "t", "ɛ", "k", "s", "t"]
										__lowerCAmelCase   :						Any				= tokenizer.convert_tokens_to_string(_SCREAMING_SNAKE_CASE)

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




"""simple docstring"""






def     _lowercase       (						__snake_case      ,__snake_case			)		->     list:
			__lowerCAmelCase   :						List[str]				= len(__snake_case			)
			__lowerCAmelCase   :						Dict				= []
			for i in range(len(__snake_case			) - pat_len + 1			):
						__lowerCAmelCase   :						List[Any]				= True
						for j in range(__snake_case			):
									if s[i + j] != pattern[j]:
												__lowerCAmelCase   :						Union[str, Any]				= False
												break
						if match_found:
									position.append(__snake_case			)
			return position


if __name__ == "__main__":
	assert naive_pattern_search('ABCDEFG', 'DE') == [3]
	print(naive_pattern_search('ABAAABCDBBABCDDEBCABC', 'ABC'))