

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    (			UpperCAmelCase_		,	unittest.TestCase     ):




			"""simple docstring"""







			_UpperCAmelCase       :							int      							=					WavaVecaPhonemeCTCTokenizer
			_UpperCAmelCase       :							Tuple      							=					False



			def 	_SCREAMING_SNAKE_CASE      (			self  :					List[Any]):
									super().setUp()

									SCREAMING_SNAKE_CASE_:			Any  		=	(
									    "<s> <pad> </s> <unk> n s t ə l a i k d m ɛ ɾ e ɪ p o ɐ z ð f j v b ɹ ʁ ʊ iː r w ʌ u ɡ æ aɪ ʃ h ɔ ɑː "
									    "ŋ ɚ eɪ β uː y ɑ̃ oʊ ᵻ eː θ aʊ ts oː ɔ̃ ɣ ɜ ɑ dʒ əl x ɜː ç ʒ tʃ ɔː ɑːɹ ɛ̃ ʎ ɔːɹ ʋ aː ɕ œ ø oːɹ ɲ yː "
									    "ʔ iə i5 s. tɕ ?? nʲ ɛː œ̃ ɭ ɔø ʑ tʲ ɨ ɛɹ ts. rʲ ɪɹ ɭʲ i.5 ɔɪ q sʲ u5 ʊɹ iɜ a5 iɛ5 øː ʕ ja əɜ th ɑ5 "
									    "oɪ dʲ ə5 tɕh ts.h mʲ ɯ dʑ vʲ e̞ tʃʲ ei5 o5 onɡ5 ɑu5 iɑ5 ai5 aɪɚ kh ə1 ʐ i2 ʉ ħ t[ aɪə ʲ ju ə2 u2 oɜ "
									    "pː iɛɜ ou5 y5 uɜ tː uo5 d[ uoɜ tsh ɑɜ ɵ i̪5 uei5 ɟ aɜ ɑɨ i.ɜ eʊ o2 ɐ̃ ä pʲ kʲ n̩ ɒ ph ɑu2 uɨ əɪ ɫ ɬ "
									    "yɜ bʲ ɑ2 s̪ aiɜ χ ɐ̃ʊ̃ 1 ə4 yæɜ a2 ɨː t̪ iouɜ ũ onɡɜ aɨ iɛ2 ɔɨ ɑuɜ o̞ ei2 iou2 c kː y2 ɖ oe dˤ yɛɜ "
									    "əʊ S ɡʲ onɡ2 u\" eiɜ ʈ ɯᵝ iou5 dZ r̝̊ i.2 tS s^ ʝ yə5 iɑɜ uə5 pf ɨu iɑ2 ou2 ər2 fʲ ai2 r̝ uəɜ ɳ əɨ "
									    "ua5 uɪ ɽ bː yu5 uo2 yɛ5 l̩ ɻ ərɜ ʂ i̪2 ouɜ uaɜ a. a.ː yæ5 dː r̩ ee ɪu ər5 i̪ ɜ æi u: i.ː t^ o1 ɪ^ "
									    "ai ueiɜ æː ɛɪ eə i. ɴ ie ua2 ɑ1 o4 tʃː o: ɑ: u1 N i̪1 au yæ2 u. qː yəɜ y: kʰ tʃʰ iʊ sx õ uo tʰ "
									    "uai5 bʰ u.ː uə2 ʊə d^ s̪ː yiɜ dʰ r. oe: i1 ɟː yu2 nʲʲ i̪4 uei2 tsʲ ɸ ĩ ɑ4 t̪ː eɑ u4 e: tsː ʈʰ ɡʰ "
									    "ɯɯ dʒʲ ʂʲ X ɵː uaiɜ tɕʲ ã t^ː ẽː yɛ2 cː i.1 ɛʊ dˤdˤ dʒː i4 ɡː yi ɕʲ ɟʰ pʰ dʑʲ yuɜ ua1 ua4 æiː ɐɐ "
									    "ui iou1 ʊː a1 iou4 cʰ iɛ1 yə2 ɖʰ ẽ ʒʲ ää ər4 iːː ɪː iɑ1 ər1 œː øi ɪuː cʰcʰ əː1 iː1 ũ kʰː o̞o̞ xʲ "
									    "ou1 iɛ4 e̞e̞ y1 dzː dʲʲ dʰː ɯᵝɯᵝ lː uo1 i.4 i: yɛ5ʲ a4"
									).split(" ")
									SCREAMING_SNAKE_CASE_:			Dict  		=	dict(zip(lowerCAmelCase__       ,						range(len(lowerCAmelCase__))))

									SCREAMING_SNAKE_CASE_:			Optional[Any]  		=	{"pad_token": "<pad>", "unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>"}

									SCREAMING_SNAKE_CASE_:			Optional[int]  		=	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 	_SCREAMING_SNAKE_CASE      (			self  :					int       ,						lowerCAmelCase__  :					List[str]       ,						lowerCAmelCase__  :					Dict=False       ,						lowerCAmelCase__  :					List[str]=20       ,						lowerCAmelCase__  :					str=5):
									SCREAMING_SNAKE_CASE_:			Dict  		=	[(i, tokenizer.decode([i]       ,						clean_up_tokenization_spaces=lowerCAmelCase__)) for i in range(len(lowerCAmelCase__))]
									SCREAMING_SNAKE_CASE_:			List[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:
															SCREAMING_SNAKE_CASE_:			Union[str, Any]  		=	toks[:max_length]
									if min_length is not None and len(lowerCAmelCase__) < min_length and len(lowerCAmelCase__) > 0:
															while len(lowerCAmelCase__) < min_length:
																					SCREAMING_SNAKE_CASE_:			List[str]  		=	toks + toks
        # toks_str = [t[1] for t in toks]
									SCREAMING_SNAKE_CASE_:			List[Any]  		=	[t[0] for t in toks]

									# Ensure consistency
									SCREAMING_SNAKE_CASE_:			str  		=	tokenizer.decode(lowerCAmelCase__       ,						clean_up_tokenization_spaces=lowerCAmelCase__)
									if " " not in output_txt and len(lowerCAmelCase__) > 1:
															SCREAMING_SNAKE_CASE_:			Union[str, 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:
															SCREAMING_SNAKE_CASE_:			List[str]  		=	" " + output_txt
									SCREAMING_SNAKE_CASE_:			List[Any]  		=	tokenizer.encode(lowerCAmelCase__       ,						add_special_tokens=lowerCAmelCase__)
									return output_txt, output_ids



			def 	_SCREAMING_SNAKE_CASE      (			self  :					Tuple       ,						**lowerCAmelCase__  :					List[Any]):
									kwargs.update(self.special_tokens_map)
									return WavaVecaPhonemeCTCTokenizer.from_pretrained(self.tmpdirname       ,						**lowerCAmelCase__)



			def 	_SCREAMING_SNAKE_CASE      (			self  :					str):
									SCREAMING_SNAKE_CASE_:			str  		=	self.tokenizer_class.from_pretrained("facebook/wav2vec2-lv-60-espeak-cv-ft")

									# check adding a single token
									tokenizer.add_tokens("xxx")
									SCREAMING_SNAKE_CASE_:			Optional[Any]  		=	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"])
									SCREAMING_SNAKE_CASE_:			Dict  		=	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

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



			def 	_SCREAMING_SNAKE_CASE      (			self  :					Dict):
									SCREAMING_SNAKE_CASE_:			Tuple  		=	self.tokenizer_class.from_pretrained("facebook/wav2vec2-lv-60-espeak-cv-ft")

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



			def 	_SCREAMING_SNAKE_CASE      (			self  :					Tuple):
									SCREAMING_SNAKE_CASE_:			List[str]  		=	self.tokenizer_class.from_pretrained("facebook/wav2vec2-lv-60-espeak-cv-ft")

									SCREAMING_SNAKE_CASE_:			Dict  		=	"Hello how are you"
									SCREAMING_SNAKE_CASE_:			str  		=	tokenizer.phonemize(lowerCAmelCase__       ,						phonemizer_lang="en-us")
									self.assertEqual(tokenizer(lowerCAmelCase__).input_ids       ,						tokenizer(lowerCAmelCase__       ,						do_phonemize=lowerCAmelCase__).input_ids)



			def 	_SCREAMING_SNAKE_CASE      (			self  :					Tuple):
									SCREAMING_SNAKE_CASE_:			int  		=	self.tokenizer_class.from_pretrained("facebook/wav2vec2-lv-60-espeak-cv-ft")
									SCREAMING_SNAKE_CASE_:			List[str]  		=	"Hello how are you"
									SCREAMING_SNAKE_CASE_:			List[Any]  		=	tokenizer.phonemize(lowerCAmelCase__       ,						phonemizer_lang="en-us")

									SCREAMING_SNAKE_CASE_:			Dict  		=	tokenizer.decode(tokenizer(lowerCAmelCase__).input_ids)

									self.assertEqual(lowerCAmelCase__       ,						lowerCAmelCase__)



			def 	_SCREAMING_SNAKE_CASE      (			self  :					List[str]):
									SCREAMING_SNAKE_CASE_:			Optional[Any]  		=	self.tokenizer_class.from_pretrained("facebook/wav2vec2-lv-60-espeak-cv-ft")

									SCREAMING_SNAKE_CASE_:			int  		=	[
									    [11, 5, 15, tokenizer.pad_token_id, 15, 8, 98],
									    [24, 22, 5, 24, 22, 5, 77],
									]
									SCREAMING_SNAKE_CASE_:			Union[str, Any]  		=	tokenizer.decode(sample_ids[0])
									SCREAMING_SNAKE_CASE_:			Union[str, 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"])



			def 	_SCREAMING_SNAKE_CASE      (			self  :					str):
									SCREAMING_SNAKE_CASE_:			Optional[int]  		=	self.tokenizer_class.from_pretrained(
									    "facebook/wav2vec2-lv-60-espeak-cv-ft"       ,						word_delimiter_token="|")
									tokenizer.add_tokens("|")

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



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

									SCREAMING_SNAKE_CASE_:			Union[str, Any]  		=	"Hello how are you"
									SCREAMING_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 	_SCREAMING_SNAKE_CASE      (			self  :					str):
									SCREAMING_SNAKE_CASE_:			List[Any]  		=	self.tokenizer_class.from_pretrained(
									    "facebook/wav2vec2-lv-60-espeak-cv-ft"       ,						word_delimiter_token="|")
									tokenizer.add_tokens("|")

									# fmt: off
									SCREAMING_SNAKE_CASE_:			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
									SCREAMING_SNAKE_CASE_:			Optional[Any]  		=	tokenizer.decode(sample_ids[0])
									SCREAMING_SNAKE_CASE_:			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
									SCREAMING_SNAKE_CASE_:			str  		=	tokenizer.decode(sample_ids[0]       ,						filter_word_delimiter_token=lowerCAmelCase__)
									SCREAMING_SNAKE_CASE_:			Dict  		=	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 	_SCREAMING_SNAKE_CASE      (			self  :					Optional[Any]):
									SCREAMING_SNAKE_CASE_:			Dict  		=	self.tokenizer_class.from_pretrained(
									    "facebook/wav2vec2-lv-60-espeak-cv-ft"       ,						word_delimiter_token="|")
									tokenizer.add_tokens("|")

									SCREAMING_SNAKE_CASE_:			Optional[Any]  		=	"Hello how are you"
									SCREAMING_SNAKE_CASE_:			Union[str, Any]  		=	tokenizer.phonemize(lowerCAmelCase__       ,						phonemizer_lang="en-us")

									SCREAMING_SNAKE_CASE_:			List[Any]  		=	tokenizer.decode(tokenizer(lowerCAmelCase__).input_ids       ,						filter_word_delimiter_token=lowerCAmelCase__)

									self.assertEqual(lowerCAmelCase__       ,						lowerCAmelCase__)



			def 	_SCREAMING_SNAKE_CASE      (			self  :					Any):
									SCREAMING_SNAKE_CASE_:			Optional[int]  		=	self.tokenizer_class.from_pretrained(
									    "facebook/wav2vec2-lv-60-espeak-cv-ft"       ,						word_delimiter_token="|")
									tokenizer.add_tokens("|")

									SCREAMING_SNAKE_CASE_:			Dict  		=	"Hello how are you"
									SCREAMING_SNAKE_CASE_:			Union[str, Any]  		=	tokenizer.phonemize(lowerCAmelCase__       ,						phonemizer_lang="en-us")

									SCREAMING_SNAKE_CASE_:			List[str]  		=	tokenizer.decode(tokenizer(lowerCAmelCase__).input_ids       ,						filter_word_delimiter_token=lowerCAmelCase__)

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



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

									SCREAMING_SNAKE_CASE_:			Optional[Any]  		=	tokenizer(lowerCAmelCase__       ,						phonemizer_lang="en-us").input_ids
									SCREAMING_SNAKE_CASE_:			Optional[Any]  		=	tokenizer(lowerCAmelCase__       ,						phonemizer_lang="fr-fr").input_ids

									self.assertNotEqual(lowerCAmelCase__       ,						lowerCAmelCase__)

									SCREAMING_SNAKE_CASE_:			Optional[Any]  		=	tokenizer.decode(lowerCAmelCase__)
									SCREAMING_SNAKE_CASE_:			Tuple  		=	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 	_SCREAMING_SNAKE_CASE      (			self  :					int):
									SCREAMING_SNAKE_CASE_:			Dict  		=	self.tokenizer_class.from_pretrained("facebook/wav2vec2-lv-60-espeak-cv-ft")
									SCREAMING_SNAKE_CASE_:			Optional[Any]  		=	"Hello how Are you"
									SCREAMING_SNAKE_CASE_:			Tuple  		=	"hello how are you"

									SCREAMING_SNAKE_CASE_:			str  		=	tokenizer(lowerCAmelCase__).input_ids
									SCREAMING_SNAKE_CASE_:			List[str]  		=	tokenizer(lowerCAmelCase__).input_ids

									self.assertEqual(lowerCAmelCase__       ,						lowerCAmelCase__)



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

									# fmt: off
									SCREAMING_SNAKE_CASE_:			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

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



			@staticmethod
			def 	_SCREAMING_SNAKE_CASE      (			lowerCAmelCase__  :					Dict       ,						lowerCAmelCase__  :					Tuple):
									SCREAMING_SNAKE_CASE_:			List[str]  		=	[d[key] for d in offsets]
									return retrieved_list



			def 	_SCREAMING_SNAKE_CASE      (			self  :					List[Any]):
									SCREAMING_SNAKE_CASE_:			Dict  		=	self.get_tokenizer(word_delimiter_token="|")
									tokenizer.add_tokens("|")

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

									SCREAMING_SNAKE_CASE_:			Tuple  		=	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 	_SCREAMING_SNAKE_CASE      (			self  :					Union[str, Any]):
									SCREAMING_SNAKE_CASE_:			Optional[Any]  		=	self.get_tokenizer(word_delimiter_token="|")

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

															# transform list to ModelOutput
															SCREAMING_SNAKE_CASE_:			Optional[Any]  		=	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__  :					str       ,						lowerCAmelCase__  :					Optional[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
									SCREAMING_SNAKE_CASE_:			Tuple  		=	[
									    [11, 5, 15, tokenizer.pad_token_id, 15, 4, 8, 98, 32, 32, 32, 32, 4, 33, tokenizer.word_delimiter_token_id, 32, 32, 33, 34, 34],
									    [24, 22, 5, tokenizer.word_delimiter_token_id, tokenizer.word_delimiter_token_id, 24, 22, 22, 22, 4, 5, 77, tokenizer.pad_token_id, 22, 22, 4, 34, 34, 34, 34],
									]
									# fmt: on

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

									# char
									SCREAMING_SNAKE_CASE_:			List[str]  		=	tokenizer.batch_decode(lowerCAmelCase__       ,						output_char_offsets=lowerCAmelCase__)
									SCREAMING_SNAKE_CASE_:			str  		=	[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 	_SCREAMING_SNAKE_CASE      (			self  :					Union[str, Any]):
									pass



			@unittest.skip("Wav2Vec2PhonemeTokenizer always puts spaces between phonemes")
			def 	_SCREAMING_SNAKE_CASE      (			self  :					List[Any]):
									pass



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



			@unittest.skip("Wav2Vec2PhonemeModel has no max model length => no testing")
			def 	_SCREAMING_SNAKE_CASE      (			self  :					List[Any]):
									pass



			def 	_SCREAMING_SNAKE_CASE      (			self  :					Optional[Any]):
									SCREAMING_SNAKE_CASE_:			str  		=	self.get_tokenizers(do_lower_case=lowerCAmelCase__)
									for tokenizer in tokenizers:
															with self.subTest(F"{tokenizer.__class__.__name__}"):
																					SCREAMING_SNAKE_CASE_:			Optional[Any]  		=	tokenizer.vocab_size
																					SCREAMING_SNAKE_CASE_:			Dict  		=	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)

																					SCREAMING_SNAKE_CASE_:			str  		=	["aaaaa bbbbbb", "cccccccccdddddddd"]
																					SCREAMING_SNAKE_CASE_:			List[str]  		=	tokenizer.add_tokens(lowerCAmelCase__)
																					SCREAMING_SNAKE_CASE_:			Tuple  		=	tokenizer.vocab_size
																					SCREAMING_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__))

																					SCREAMING_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)

																					SCREAMING_SNAKE_CASE_:			int  		=	{"eos_token": ">>>>|||<||<<|<<", "pad_token": "<<<<<|||>|>>>>|>"}
																					SCREAMING_SNAKE_CASE_:			Dict  		=	tokenizer.add_special_tokens(lowerCAmelCase__)
																					SCREAMING_SNAKE_CASE_:			Dict  		=	tokenizer.vocab_size
																					SCREAMING_SNAKE_CASE_:			Optional[int]  		=	len(lowerCAmelCase__)

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

																					SCREAMING_SNAKE_CASE_:			List[str]  		=	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 	_SCREAMING_SNAKE_CASE      (			self  :					List[Any]):
									pass



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




			def 	_SCREAMING_SNAKE_CASE      (			self  :					Optional[int]):
									# The default common tokenizer tests assumes that the output of `convert_tokens_to_string` is a string which
									# is not the case for Wav2Vec2PhonemeCTCTokenizer.
									SCREAMING_SNAKE_CASE_:			int  		=	self.get_tokenizers(fast=lowerCAmelCase__       ,						do_lower_case=lowerCAmelCase__)
									for tokenizer in tokenizers:
															with self.subTest(F"{tokenizer.__class__.__name__}"):
																					SCREAMING_SNAKE_CASE_:			int  		=	["ð", "ɪ", "s", "ɪ", "z", "ɐ", "t", "ɛ", "k", "s", "t"]
																					SCREAMING_SNAKE_CASE_:			int  		=	tokenizer.convert_tokens_to_string(lowerCAmelCase__)

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









# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import argparse
import os
import subprocess

from packaging.version import Version, parse

from accelerate.commands.config.config_args import default_config_file, load_config_from_file


lowerCAmelCase							:  List[str]            =						"""Run commands across TPU VMs for initial setup before running `accelerate launch`."""







def       A_				(   _UpperCAmelCase=None   ):
						if subparsers is not None:
												SCREAMING_SNAKE_CASE_:			Optional[Any]  		=	subparsers.add_parser("tpu-config"    ,     description=_description   )
						else:
												SCREAMING_SNAKE_CASE_:			Optional[int]  		=	argparse.ArgumentParser("Accelerate tpu-config command"    ,     description=_description   )
						# Core arguments
						SCREAMING_SNAKE_CASE_:			Any  		=	parser.add_argument_group(
						    "Config Arguments"    ,     "Arguments that can be configured through `accelerate config`."   )
						config_args.add_argument(
						    "--config_file"    ,     type=_UpperCAmelCase    ,     default=_UpperCAmelCase    ,     help="Path to the config file to use for accelerate."    ,     )
						config_args.add_argument(
						    "--tpu_name"    ,     default=_UpperCAmelCase    ,     help="The name of the TPU to use. If not specified, will use the TPU specified in the config file."    ,     )
						config_args.add_argument(
						    "--tpu_zone"    ,     default=_UpperCAmelCase    ,     help="The zone of the TPU to use. If not specified, will use the zone specified in the config file."    ,     )
						SCREAMING_SNAKE_CASE_:			Tuple  		=	parser.add_argument_group("TPU Arguments"    ,     "Arguments for options ran inside the TPU."   )
						pod_args.add_argument(
						    "--use_alpha"    ,     action="store_true"    ,     help="Whether to use `gcloud alpha` when running the TPU training script instead of `gcloud`."    ,     )
						pod_args.add_argument(
						    "--command_file"    ,     default=_UpperCAmelCase    ,     help="The path to the file containing the commands to run on the pod on startup."    ,     )
						pod_args.add_argument(
						    "--command"    ,     action="append"    ,     nargs="+"    ,     help="A command to run on the pod. Can be passed multiple times."    ,     )
						pod_args.add_argument(
						    "--install_accelerate"    ,     action="store_true"    ,     help="Whether to install accelerate on the pod. Defaults to False."    ,     )
						pod_args.add_argument(
						    "--accelerate_version"    ,     default="latest"    ,     help="The version of accelerate to install on the pod. If not specified, will use the latest pypi version. Specify 'dev' to install from GitHub."    ,     )
						pod_args.add_argument(
						    "--debug"    ,     action="store_true"    ,     help="If set, will print the command that would be run instead of running it."   )

						if subparsers is not None:
												parser.set_defaults(func=_UpperCAmelCase   )
						return parser







def       A_				(   _UpperCAmelCase   ):
						SCREAMING_SNAKE_CASE_:			Tuple  		=	None

						# Get the default from the config file if it exists.
						if args.config_file is not None or os.path.isfile(_UpperCAmelCase   ):
												SCREAMING_SNAKE_CASE_:			List[Any]  		=	load_config_from_file(args.config_file   )
												if not args.command_file and defaults.command_file is not None and not args.command:
																		SCREAMING_SNAKE_CASE_:			Any  		=	defaults.command_file
												if not args.command and defaults.commands is not None:
																		SCREAMING_SNAKE_CASE_:			int  		=	defaults.commands
												if not args.tpu_name:
																		SCREAMING_SNAKE_CASE_:			List[str]  		=	defaults.tpu_name
												if not args.tpu_zone:
																		SCREAMING_SNAKE_CASE_:			Dict  		=	defaults.tpu_zone
						if args.accelerate_version == "dev":
												SCREAMING_SNAKE_CASE_:			Tuple  		=	"git+https://github.com/huggingface/accelerate.git"
						elif args.accelerate_version == "latest":
												SCREAMING_SNAKE_CASE_:			str  		=	"accelerate -U"
						elif isinstance(parse(args.accelerate_version   )    ,     _UpperCAmelCase   ):
												SCREAMING_SNAKE_CASE_:			List[str]  		=	f"accelerate=={args.accelerate_version}"

						if not args.command_file and not args.command:
												raise ValueError("You must specify either a command file or a command to run on the pod."   )

						if args.command_file:
												with open(args.command_file    ,     "r"   ) as f:
																		SCREAMING_SNAKE_CASE_:			Dict  		=	[f.read().splitlines()]

    # To turn list of lists into list of strings
						if isinstance(args.command[0]    ,     _UpperCAmelCase   ):
												SCREAMING_SNAKE_CASE_:			List[str]  		=	[line for cmd in args.command for line in cmd]
						# Default to the shared folder and install accelerate
						SCREAMING_SNAKE_CASE_:			Dict  		=	["cd /usr/share"]
						if args.install_accelerate:
												new_cmd += [f"pip install {args.accelerate_version}"]
						new_cmd += args.command
						SCREAMING_SNAKE_CASE_:			List[str]  		=	"; ".join(_UpperCAmelCase   )

						# Then send it to gcloud
						# Eventually try to use google-api-core to do this instead of subprocess
						SCREAMING_SNAKE_CASE_:			int  		=	["gcloud"]
						if args.use_alpha:
												cmd += ["alpha"]
						cmd += [
						    "compute",
						    "tpus",
						    "tpu-vm",
						    "ssh",
						    args.tpu_name,
						    "--zone",
						    args.tpu_zone,
						    "--command",
						    args.command,
						    "--worker",
						    "all",
						]
						if args.debug:
												print(f"Running {' '.join(_UpperCAmelCase   )}"   )
												return
						subprocess.run(_UpperCAmelCase   )
						print("Successfully setup pod."   )







def       A_				(   ):
						SCREAMING_SNAKE_CASE_:			List[str]  		=	tpu_command_parser()
						SCREAMING_SNAKE_CASE_:			List[Any]  		=	parser.parse_args()

						tpu_command_launcher(_UpperCAmelCase   )






