





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 SCREAMING_SNAKE_CASE_						(					lowercase__       ,				unittest.TestCase					):
						__magic_name__:			Optional[Any]       =       WavaVecaPhonemeCTCTokenizer
						__magic_name__:			List[Any]       =       False






						def UpperCAmelCase_				(      self      :      str	)							->    str:







							"""simple docstring"""


							super().setUp()

							snake_case_		:			List[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(' '	)
							snake_case_		:			str											=	dict(zip(__lowercase		,   range(len(__lowercase	)	)	)	)

							snake_case_		:			Union[str, Any]											=	{'pad_token': '<pad>', 'unk_token': '<unk>', 'bos_token': '<s>', 'eos_token': '</s>'}

							snake_case_		:			List[Any]											=	os.path.join(self.tmpdirname		,   VOCAB_FILES_NAMES['vocab_file']	)
							with open(self.vocab_file		,   'w'		,   encoding='utf-8'	) as fp:
								fp.write(json.dumps(__lowercase	) + '\n'	)






						def UpperCAmelCase_				(      self      :      Optional[Any]		,   _A      :      Union[str, Any]		,   _A      :      Optional[int]=False		,   _A      :      Optional[int]=20		,   _A      :      str=5	)							->    int:







							"""simple docstring"""


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

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






						def UpperCAmelCase_				(      self      :      Dict		,   **_A      :      Optional[int]	)							->    Any:







							"""simple docstring"""


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






						def UpperCAmelCase_				(      self      :      Dict	)							->    int:







							"""simple docstring"""


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

							# check adding a single token
							tokenizer.add_tokens('xxx'	)
							snake_case_		:			Optional[int]											=	tokenizer('m xxx ɪ'		,   do_phonemize=__lowercase	).input_ids
							self.assertEqual(__lowercase		,   [13, 392, 17]	)  # xxx should be last token

							tokenizer.add_tokens(['aaa', 'bbb', 'ccc']	)
							snake_case_		:			Union[str, Any]											=	tokenizer('m aaa ɪ ccc'		,   do_phonemize=__lowercase	).input_ids
							self.assertEqual(__lowercase		,   [13, 393, 17, 395]	)  # aaa and ccc should be after xxx and 2 after aaa

							snake_case_		:			Optional[Any]											=	tokenizer('maɪ c'		,   do_phonemize=__lowercase	).input_ids
							self.assertEqual(__lowercase		,   [3, 200]	)  # mai should be <unk> (=3)






						def UpperCAmelCase_				(      self      :      Union[str, Any]	)							->    Tuple:







							"""simple docstring"""


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

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






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







							"""simple docstring"""


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

							snake_case_		:			Dict											=	'Hello how are you'
							snake_case_		:			List[str]											=	tokenizer.phonemize(__lowercase		,   phonemizer_lang='en-us'	)
							self.assertEqual(tokenizer(__lowercase	).input_ids		,   tokenizer(__lowercase		,   do_phonemize=__lowercase	).input_ids	)






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







							"""simple docstring"""


							snake_case_		:			int											=	self.tokenizer_class.from_pretrained('facebook/wav2vec2-lv-60-espeak-cv-ft'	)
							snake_case_		:			str											=	'Hello how are you'
							snake_case_		:			int											=	tokenizer.phonemize(__lowercase		,   phonemizer_lang='en-us'	)

							snake_case_		:			Union[str, Any]											=	tokenizer.decode(tokenizer(__lowercase	).input_ids	)

							self.assertEqual(__lowercase		,   __lowercase	)






						def UpperCAmelCase_				(      self      :      Any	)							->    int:







							"""simple docstring"""


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

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






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







							"""simple docstring"""


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

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






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







							"""simple docstring"""


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

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






						def UpperCAmelCase_				(      self      :      Tuple	)							->    Union[str, Any]:







							"""simple docstring"""


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

							# fmt: off
							snake_case_		:			str											=	[
							    [11, 5, 15, tokenizer.pad_token_id, tokenizer.word_delimiter_token_id, 15, 8, tokenizer.word_delimiter_token_id, 98],
							    [tokenizer.word_delimiter_token_id, 24, 22, tokenizer.word_delimiter_token_id, 5, 24, 22, 5, 77],
							]
							# fmt: on

							# decode with word_del_token filter
							snake_case_		:			List[str]											=	tokenizer.decode(sample_ids[0]	)
							snake_case_		:			Tuple											=	tokenizer.batch_decode(__lowercase	)
							self.assertEqual(__lowercase		,   batch_tokens[0]	)
							self.assertEqual(__lowercase		,   ['k s ɾ ɾ l ɭʲ', 'j ð s j ð s oːɹ']	)

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






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







							"""simple docstring"""


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

							snake_case_		:			Union[str, Any]											=	'Hello how are you'
							snake_case_		:			Optional[Any]											=	tokenizer.phonemize(__lowercase		,   phonemizer_lang='en-us'	)

							snake_case_		:			int											=	tokenizer.decode(tokenizer(__lowercase	).input_ids		,   filter_word_delimiter_token=__lowercase	)

							self.assertEqual(__lowercase		,   __lowercase	)






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







							"""simple docstring"""


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

							snake_case_		:			Dict											=	'Hello how are you'
							snake_case_		:			int											=	tokenizer.phonemize(__lowercase		,   phonemizer_lang='en-us'	)

							snake_case_		:			List[Any]											=	tokenizer.decode(tokenizer(__lowercase	).input_ids		,   filter_word_delimiter_token=__lowercase	)

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






						def UpperCAmelCase_				(      self      :      Optional[int]	)							->    Optional[int]:







							"""simple docstring"""


							snake_case_		:			str											=	self.tokenizer_class.from_pretrained(
							    'facebook/wav2vec2-lv-60-espeak-cv-ft'		,   word_delimiter_token=__lowercase	)
							snake_case_		:			Tuple											=	'Hello how are you'

							snake_case_		:			Dict											=	tokenizer(__lowercase		,   phonemizer_lang='en-us'	).input_ids
							snake_case_		:			Tuple											=	tokenizer(__lowercase		,   phonemizer_lang='fr-fr'	).input_ids

							self.assertNotEqual(__lowercase		,   __lowercase	)

							snake_case_		:			str											=	tokenizer.decode(__lowercase	)
							snake_case_		:			List[str]											=	tokenizer.decode(__lowercase	)

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






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







							"""simple docstring"""


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

							snake_case_		:			Union[str, Any]											=	tokenizer(__lowercase	).input_ids
							snake_case_		:			int											=	tokenizer(__lowercase	).input_ids

							self.assertEqual(__lowercase		,   __lowercase	)






						def UpperCAmelCase_				(      self      :      Dict	)							->    List[str]:







							"""simple docstring"""


							snake_case_		:			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
							snake_case_		:			List[str]											=	[
							    [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

							snake_case_		:			Dict											=	tokenizer.batch_decode(__lowercase	)
							self.assertEqual(__lowercase		,   ['k s ɾ ɾ l ɭʲ!?!? $$$', 'j ð s j ð s oːɹ $$$']	)






						@staticmethod
						def UpperCAmelCase_				(      _A      :      Tuple		,   _A      :      Any	)							->    List[str]:







							"""simple docstring"""


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






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







							"""simple docstring"""


							snake_case_		:			Tuple											=	self.get_tokenizer(word_delimiter_token='|'	)
							tokenizer.add_tokens('|'	)

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

							snake_case_		:			Optional[Any]											=	tokenizer.decode(__lowercase		,   output_char_offsets=__lowercase		,   filter_word_delimiter_token=__lowercase	)
							# 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(__lowercase		,   __lowercase	)	)

							# check that order of chars is correct and identical for both outputs
							self.assertEqual(' '.join(self.get_from_offsets(outputs['char_offsets']		,   'char'	)	)		,   outputs.text	)
							self.assertListEqual(
							    self.get_from_offsets(outputs['char_offsets']		,   'char'	)		,   ['k', 's', 'ɾ', 'ɾ', '|', 'ɾ', 'l', '|', 'ɭʲ']	)

							# check that offsets are actually correct for char
							# 0-1 is 11, 1-4 is 5, 4-6 is first 15, 6-7 is <pad> (thus not shown), 7-9 is second 15, 9-10 is word_delimiter_token,
							# 10-11 is <pad> (thus not shown), 11-12 is third 15, 12-15 is 8, 15-16 is word_delimiter_token, 16-17 is 98
							self.assertListEqual(
							    self.get_from_offsets(outputs['char_offsets']		,   'start_offset'	)		,   [0, 1, 4, 7, 9, 11, 12, 15, 16]	)
							self.assertListEqual(
							    self.get_from_offsets(outputs['char_offsets']		,   'end_offset'	)		,   [1, 4, 6, 9, 10, 12, 15, 16, 17]	)






						def UpperCAmelCase_				(      self      :      List[Any]	)							->    List[Any]:







							"""simple docstring"""


							snake_case_		:			int											=	self.get_tokenizer(word_delimiter_token='|'	)

							def check_list_tuples_equal(_A      :      Optional[int]		,   _A      :      Optional[int]	):
								self.assertTrue(isinstance(__lowercase		,   __lowercase	)	)
								self.assertTrue(isinstance(outputs_list[0]		,   __lowercase	)	)

								# transform list to ModelOutput
								snake_case_		:			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(_A      :      Dict		,   _A      :      Tuple	):
									if isinstance(__lowercase		,   __lowercase	):
										[recursive_check(__lowercase		,   __lowercase	) for la, la in zip(__lowercase		,   __lowercase	)]
									self.assertEqual(__lowercase		,   __lowercase	)

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

        # fmt: off
							snake_case_		:			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
							snake_case_		:			List[str]											=	tokenizer.batch_decode(__lowercase		,   output_char_offsets=__lowercase	)
							snake_case_		:			Union[str, Any]											=	[tokenizer.decode(__lowercase		,   output_char_offsets=__lowercase	) for ids in sample_ids]
							check_list_tuples_equal(__lowercase		,   __lowercase	)






						@unittest.skip('Wav2Vec2PhonemeTokenizer always lower cases letters to correctly map to phonemes'	)
						def UpperCAmelCase_				(      self      :      Optional[int]	)							->    Optional[int]:







							"""simple docstring"""


							pass






						@unittest.skip('Wav2Vec2PhonemeTokenizer always puts spaces between phonemes'	)
						def UpperCAmelCase_				(      self      :      Optional[int]	)							->    List[str]:







							"""simple docstring"""


							pass






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







							"""simple docstring"""


							pass






						@unittest.skip('Wav2Vec2PhonemeModel has no max model length => no testing'	)
						def UpperCAmelCase_				(      self      :      Dict	)							->    Optional[int]:







							"""simple docstring"""


							pass






						def UpperCAmelCase_				(      self      :      Optional[Any]	)							->    str:







							"""simple docstring"""


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

									self.assertNotEqual(__lowercase		,   0	)

									# We usually have added tokens from the start in tests because our vocab fixtures are
									# smaller than the original vocabs - let's not assert this
									# self.assertEqual(vocab_size, all_size)

									snake_case_		:			Tuple											=	['aaaaa bbbbbb', 'cccccccccdddddddd']
									snake_case_		:			List[Any]											=	tokenizer.add_tokens(__lowercase	)
									snake_case_		:			int											=	tokenizer.vocab_size
									snake_case_		:			Any											=	len(__lowercase	)

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

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

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

									snake_case_		:			List[Any]											=	{'eos_token': '>>>>|||<||<<|<<', 'pad_token': '<<<<<|||>|>>>>|>'}
									snake_case_		:			Optional[Any]											=	tokenizer.add_special_tokens(__lowercase	)
									snake_case_		:			int											=	tokenizer.vocab_size
									snake_case_		:			Optional[int]											=	len(__lowercase	)

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

									snake_case_		:			Optional[int]											=	tokenizer.encode(
									    '>>>>|||<||<<|<< aaaaabbbbbb low cccccccccdddddddd <<<<<|||>|>>>>|> l'		,   add_special_tokens=__lowercase	)

									self.assertGreaterEqual(len(__lowercase	)		,   6	)
									self.assertGreater(tokens[0]		,   tokenizer.vocab_size - 1	)
									self.assertGreater(tokens[0]		,   tokens[1]	)
									self.assertGreater(tokens[-3]		,   tokenizer.vocab_size - 1	)
									self.assertGreater(tokens[-3]		,   tokens[-4]	)
									self.assertEqual(tokens[0]		,   tokenizer.eos_token_id	)
									self.assertEqual(tokens[-3]		,   tokenizer.pad_token_id	)






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







							"""simple docstring"""


							pass






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







							"""simple docstring"""


							pass






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







							"""simple docstring"""


							snake_case_		:			List[Any]											=	self.get_tokenizers(fast=__lowercase		,   do_lower_case=__lowercase	)
							for tokenizer in tokenizers:
								with self.subTest(F"""{tokenizer.__class__.__name__}"""	):
									snake_case_		:			Dict											=	['ð', 'ɪ', 's', 'ɪ', 'z', 'ɐ', 't', 'ɛ', 'k', 's', 't']
									snake_case_		:			str											=	tokenizer.convert_tokens_to_string(__lowercase	)

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











import glob
import os
import random
from string import ascii_lowercase, digits

import cva
import numpy as np

# Parrameters
_SCREAMING_SNAKE_CASE      	=		(7_20, 12_80)  # Height, Width
_SCREAMING_SNAKE_CASE      	=		(0.4, 0.6)  # if height or width lower than this scale, drop it.
_SCREAMING_SNAKE_CASE      	=		1 / 1_00
_SCREAMING_SNAKE_CASE      	=		""""""
_SCREAMING_SNAKE_CASE      	=		""""""
_SCREAMING_SNAKE_CASE      	=		""""""
_SCREAMING_SNAKE_CASE      	=		2_50


def 							SCREAMING_SNAKE_CASE__						(    ):
	snake_case_						,snake_case_		:			Any											=	get_dataset(__a   , __a   )
	for index in range(__a   ):
		snake_case_		:			Dict											=	random.sample(range(len(__a   )   )   , 4   )
		snake_case_						,snake_case_						,snake_case_		:			Optional[int]											=	update_image_and_anno(
		    __a   , __a   , __a   , __a   , __a   , filter_scale=__a   , )

		# Get random string code: '7b7ad245cdff75241935e4dd860f3bad'
		snake_case_		:			List[str]											=	random_chars(32   )
		snake_case_		:			Dict											=	path.split(os.sep   )[-1].rsplit('.'   , 1   )[0]
		snake_case_		:			Any											=	f"""{OUTPUT_DIR}/{file_name}_MOSAIC_{letter_code}"""
		cva.imwrite(f"""{file_root}.jpg"""   , __a   , [cva.IMWRITE_JPEG_QUALITY, 85]   )
		print(f"""Succeeded {index+1}/{NUMBER_IMAGES} with {file_name}"""   )
		snake_case_		:			Dict											=	[]
		for anno in new_annos:
			snake_case_		:			int											=	anno[3] - anno[1]
			snake_case_		:			Dict											=	anno[4] - anno[2]
			snake_case_		:			int											=	anno[1] + width / 2
			snake_case_		:			str											=	anno[2] + height / 2
			snake_case_		:			Union[str, Any]											=	f"""{anno[0]} {x_center} {y_center} {width} {height}"""
			annos_list.append(__a   )
		with open(f"""{file_root}.txt"""   , 'w'   ) as outfile:
			outfile.write('\n'.join(line for line in annos_list   )   )


def 							SCREAMING_SNAKE_CASE__						(    __a   , __a   ):
	snake_case_		:			List[Any]											=	[]
	snake_case_		:			Optional[int]											=	[]
	for label_file in glob.glob(os.path.join(__a   , '*.txt'   )   ):
		snake_case_		:			List[str]											=	label_file.split(os.sep   )[-1].rsplit('.'   , 1   )[0]
		with open(__a   ) as in_file:
			snake_case_		:			Dict											=	in_file.readlines()
		snake_case_		:			int											=	os.path.join(__a   , f"""{label_name}.jpg"""   )

		snake_case_		:			int											=	[]
		for obj_list in obj_lists:
			snake_case_		:			str											=	obj_list.rstrip('\n'   ).split(' '   )
			snake_case_		:			Tuple											=	float(obj[1]   ) - float(obj[3]   ) / 2
			snake_case_		:			str											=	float(obj[2]   ) - float(obj[4]   ) / 2
			snake_case_		:			Optional[Any]											=	float(obj[1]   ) + float(obj[3]   ) / 2
			snake_case_		:			List[Any]											=	float(obj[2]   ) + float(obj[4]   ) / 2

			boxes.append([int(obj[0]   ), xmin, ymin, xmax, ymax]   )
		if not boxes:
			continue
		img_paths.append(__a   )
		labels.append(__a   )
	return img_paths, labels


def 							SCREAMING_SNAKE_CASE__						(    __a   , __a   , __a   , __a   , __a   , __a = 0.0   , ):
	snake_case_		:			str											=	np.zeros([output_size[0], output_size[1], 3]   , dtype=np.uinta   )
	snake_case_		:			Tuple											=	scale_range[0] + random.random() * (scale_range[1] - scale_range[0])
	snake_case_		:			int											=	scale_range[0] + random.random() * (scale_range[1] - scale_range[0])
	snake_case_		:			Optional[Any]											=	int(scale_x * output_size[1]   )
	snake_case_		:			int											=	int(scale_y * output_size[0]   )

	snake_case_		:			str											=	[]
	snake_case_		:			Dict											=	[]
	for i, index in enumerate(__a   ):
		snake_case_		:			Any											=	all_img_list[index]
		path_list.append(__a   )
		snake_case_		:			List[str]											=	all_annos[index]
		snake_case_		:			Any											=	cva.imread(__a   )
		if i == 0:  # top-left
			snake_case_		:			Optional[Any]											=	cva.resize(__a   , (divid_point_x, divid_point_y)   )
			snake_case_		:			Dict											=	img
			for bbox in img_annos:
				snake_case_		:			Dict											=	bbox[1] * scale_x
				snake_case_		:			Tuple											=	bbox[2] * scale_y
				snake_case_		:			Optional[Any]											=	bbox[3] * scale_x
				snake_case_		:			str											=	bbox[4] * scale_y
				new_anno.append([bbox[0], xmin, ymin, xmax, ymax]   )
		elif i == 1:  # top-right
			snake_case_		:			Tuple											=	cva.resize(__a   , (output_size[1] - divid_point_x, divid_point_y)   )
			snake_case_		:			Optional[Any]											=	img
			for bbox in img_annos:
				snake_case_		:			int											=	scale_x + bbox[1] * (1 - scale_x)
				snake_case_		:			Dict											=	bbox[2] * scale_y
				snake_case_		:			Union[str, Any]											=	scale_x + bbox[3] * (1 - scale_x)
				snake_case_		:			Union[str, Any]											=	bbox[4] * scale_y
				new_anno.append([bbox[0], xmin, ymin, xmax, ymax]   )
		elif i == 2:  # bottom-left
			snake_case_		:			Optional[Any]											=	cva.resize(__a   , (divid_point_x, output_size[0] - divid_point_y)   )
			snake_case_		:			int											=	img
			for bbox in img_annos:
				snake_case_		:			int											=	bbox[1] * scale_x
				snake_case_		:			List[str]											=	scale_y + bbox[2] * (1 - scale_y)
				snake_case_		:			List[str]											=	bbox[3] * scale_x
				snake_case_		:			Union[str, Any]											=	scale_y + bbox[4] * (1 - scale_y)
				new_anno.append([bbox[0], xmin, ymin, xmax, ymax]   )
		else:  # bottom-right
			snake_case_		:			str											=	cva.resize(
			    __a   , (output_size[1] - divid_point_x, output_size[0] - divid_point_y)   )
			snake_case_		:			Dict											=	img
			for bbox in img_annos:
				snake_case_		:			Dict											=	scale_x + bbox[1] * (1 - scale_x)
				snake_case_		:			Tuple											=	scale_y + bbox[2] * (1 - scale_y)
				snake_case_		:			Union[str, Any]											=	scale_x + bbox[3] * (1 - scale_x)
				snake_case_		:			List[Any]											=	scale_y + bbox[4] * (1 - scale_y)
				new_anno.append([bbox[0], xmin, ymin, xmax, ymax]   )

    # Remove bounding box small than scale of filter
	if filter_scale > 0:
		snake_case_		:			Dict											=	[
		    anno
		    for anno in new_anno
		    if filter_scale < (anno[3] - anno[1]) and filter_scale < (anno[4] - anno[2])
		]

	return output_img, new_anno, path_list[0]


def 							SCREAMING_SNAKE_CASE__						(    __a   ):
	assert number_char > 1, "The number of character should greater than 1"
	snake_case_		:			Tuple											=	ascii_lowercase + digits
	return "".join(random.choice(__a   ) for _ in range(__a   )   )


if __name__ == "__main__":
						main()
						print("""DONE ✅""")

