

'''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 lowerCamelCase			(  lowercase_	,						unittest.TestCase						):



			'''simple docstring'''






			__snake_case        =	WavaVecaPhonemeCTCTokenizer
			__snake_case        =	False


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





									'''simple docstring'''
									super().setUp()

									A__					:       Optional[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(""" """			)
									A__					:       Dict     =dict(zip(lowerCAmelCase_		,      range(len(lowerCAmelCase_			)			)			)			)

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

									A__					:       str     =os.path.join(self.tmpdirname		,      VOCAB_FILES_NAMES["""vocab_file"""]			)
									with open(self.vocab_file		,      """w"""		,      encoding="""utf-8"""			) as fp:
															fp.write(json.dumps(lowerCAmelCase_			) + """\n"""			)


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





									'''simple docstring'''
									A__					:       Optional[Any]     =[(i, tokenizer.decode([i]		,      clean_up_tokenization_spaces=lowerCAmelCase_			)) for i in range(len(lowerCAmelCase_			)			)]
									A__					:       Union[str, 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:
															A__					:       str     =toks[:max_length]
									if min_length is not None and len(lowerCAmelCase_			) < min_length and len(lowerCAmelCase_			) > 0:
															while len(lowerCAmelCase_			) < min_length:
																					A__					:       Tuple     =toks + toks
        # toks_str = [t[1] for t in toks]
									A__					:       Any     =[t[0] for t in toks]

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


			def lowercase__						(				self	:						List[Any]		,      **lowerCAmelCase_	:						Optional[Any]			)      ->		Tuple:





									'''simple docstring'''
									kwargs.update(self.special_tokens_map			)
									return WavaVecaPhonemeCTCTokenizer.from_pretrained(self.tmpdirname		,      **lowerCAmelCase_			)


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





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

									# check adding a single token
									tokenizer.add_tokens("""xxx"""			)
									A__					:       Optional[Any]     =tokenizer("""m xxx ɪ"""		,      do_phonemize=lowerCAmelCase_			).input_ids
									self.assertEqual(lowerCAmelCase_		,      [13, 3_92, 17]			)  # xxx should be last token

									tokenizer.add_tokens(["""aaa""", """bbb""", """ccc"""]			)
									A__					:       Optional[Any]     =tokenizer("""m aaa ɪ ccc"""		,      do_phonemize=lowerCAmelCase_			).input_ids
									self.assertEqual(lowerCAmelCase_		,      [13, 3_93, 17, 3_95]			)  # aaa and ccc should be after xxx and 2 after aaa

									A__					:       List[Any]     =tokenizer("""maɪ c"""		,      do_phonemize=lowerCAmelCase_			).input_ids
									self.assertEqual(lowerCAmelCase_		,      [3, 2_00]			)  # mai should be <unk> (=3)


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





									'''simple docstring'''
									A__					:       int     =self.tokenizer_class.from_pretrained("""facebook/wav2vec2-lv-60-espeak-cv-ft"""			)

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


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





									'''simple docstring'''
									A__					:       Dict     =self.tokenizer_class.from_pretrained("""facebook/wav2vec2-lv-60-espeak-cv-ft"""			)

									A__					:       Optional[Any]     ="""Hello how are you"""
									A__					:       List[str]     =tokenizer.phonemize(lowerCAmelCase_		,      phonemizer_lang="""en-us"""			)
									self.assertEqual(tokenizer(lowerCAmelCase_			).input_ids		,      tokenizer(lowerCAmelCase_		,      do_phonemize=lowerCAmelCase_			).input_ids			)


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





									'''simple docstring'''
									A__					:       List[Any]     =self.tokenizer_class.from_pretrained("""facebook/wav2vec2-lv-60-espeak-cv-ft"""			)
									A__					:       Optional[Any]     ="""Hello how are you"""
									A__					:       Dict     =tokenizer.phonemize(lowerCAmelCase_		,      phonemizer_lang="""en-us"""			)

									A__					:       Any     =tokenizer.decode(tokenizer(lowerCAmelCase_			).input_ids			)

									self.assertEqual(lowerCAmelCase_		,      lowerCAmelCase_			)


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





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

									A__					:       int     =[
									    [11, 5, 15, tokenizer.pad_token_id, 15, 8, 98],
									    [24, 22, 5, 24, 22, 5, 77],
									]
									A__					:       int     =tokenizer.decode(sample_ids[0]			)
									A__					:       int     =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 lowercase__						(				self	:						Any			)      ->		Optional[Any]:





									'''simple docstring'''
									A__					:       Dict     =self.tokenizer_class.from_pretrained(
									    """facebook/wav2vec2-lv-60-espeak-cv-ft"""		,      word_delimiter_token="""|"""			)
									tokenizer.add_tokens("""|"""			)

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


			def lowercase__						(				self	:						str			)      ->		str:





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

									A__					:       Union[str, Any]     ="""Hello how are you"""
									A__					:       Dict     =tokenizer.phonemize(lowerCAmelCase_		,      phonemizer_lang="""en-us"""			)
									self.assertEqual(tokenizer(lowerCAmelCase_			).input_ids		,      tokenizer(lowerCAmelCase_		,      do_phonemize=lowerCAmelCase_			).input_ids			)


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





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

									# fmt: off
									A__					:       List[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
									A__					:       str     =tokenizer.decode(sample_ids[0]			)
									A__					:       List[str]     =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
									A__					:       str     =tokenizer.decode(sample_ids[0]		,      filter_word_delimiter_token=lowerCAmelCase_			)
									A__					:       Optional[int]     =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 lowercase__						(				self	:						Dict			)      ->		Any:





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

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

									A__					:       int     =tokenizer.decode(tokenizer(lowerCAmelCase_			).input_ids		,      filter_word_delimiter_token=lowerCAmelCase_			)

									self.assertEqual(lowerCAmelCase_		,      lowerCAmelCase_			)


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





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

									A__					:       str     ="""Hello how are you"""
									A__					:       Tuple     =tokenizer.phonemize(lowerCAmelCase_		,      phonemizer_lang="""en-us"""			)

									A__					:       Dict     =tokenizer.decode(tokenizer(lowerCAmelCase_			).input_ids		,      filter_word_delimiter_token=lowerCAmelCase_			)

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


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





									'''simple docstring'''
									A__					:       List[Any]     =self.tokenizer_class.from_pretrained(
									    """facebook/wav2vec2-lv-60-espeak-cv-ft"""		,      word_delimiter_token=lowerCAmelCase_			)
									A__					:       Optional[int]     ="""Hello how are you"""

									A__					:       Any     =tokenizer(lowerCAmelCase_		,      phonemizer_lang="""en-us"""			).input_ids
									A__					:       List[str]     =tokenizer(lowerCAmelCase_		,      phonemizer_lang="""fr-fr"""			).input_ids

									self.assertNotEqual(lowerCAmelCase_		,      lowerCAmelCase_			)

									A__					:       int     =tokenizer.decode(lowerCAmelCase_			)
									A__					:       str     =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 lowercase__						(				self	:						Optional[Any]			)      ->		Union[str, Any]:





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

									A__					:       Optional[Any]     =tokenizer(lowerCAmelCase_			).input_ids
									A__					:       Tuple     =tokenizer(lowerCAmelCase_			).input_ids

									self.assertEqual(lowerCAmelCase_		,      lowerCAmelCase_			)


			def lowercase__						(				self	:						int			)      ->		List[Any]:





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

									# fmt: off
									A__					:       List[str]     =[
									    [11, 5, 15, tokenizer.pad_token_id, 15, 8, 98, 3_92, 3_92, 3_93, 3_92, 3_92, 3_93, 3_94, 3_94],
									    [24, 22, 5, 24, 22, 5, 77, tokenizer.pad_token_id, 3_94, 3_94],
									]
									# fmt: on

									A__					:       List[str]     =tokenizer.batch_decode(lowerCAmelCase_			)
									self.assertEqual(lowerCAmelCase_		,      ["""k s ɾ ɾ l ɭʲ!?!? $$$""", """j ð s j ð s oːɹ $$$"""]			)


			@staticmethod
			def lowercase__						(				lowerCAmelCase_	:						Optional[int]		,      lowerCAmelCase_	:						Dict			)      ->		Tuple:





									'''simple docstring'''
									A__					:       int     =[d[key] for d in offsets]
									return retrieved_list


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





									'''simple docstring'''
									A__					:       Optional[int]     =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"
									A__					:       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

									A__					:       List[Any]     =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 lowercase__						(				self	:						int			)      ->		Optional[Any]:





									'''simple docstring'''
									A__					:       List[Any]     =self.get_tokenizer(word_delimiter_token="""|"""			)

									def check_list_tuples_equal(lowerCAmelCase_	:						Any		,      lowerCAmelCase_	:						Dict			):
															self.assertTrue(isinstance(lowerCAmelCase_		,      lowerCAmelCase_			)			)
															self.assertTrue(isinstance(outputs_list[0]		,      lowerCAmelCase_			)			)

															# transform list to ModelOutput
															A__					:       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_	:						Optional[int]		,      lowerCAmelCase_	:						str			):
																					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
									A__					:       Optional[int]     =[
									    [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
									A__					:       Union[str, Any]     =tokenizer.batch_decode(lowerCAmelCase_		,      output_char_offsets=lowerCAmelCase_			)
									A__					:       int     =[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 lowercase__						(				self	:						Dict			)      ->		Any:





									'''simple docstring'''
									pass


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





									'''simple docstring'''
									pass


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





									'''simple docstring'''
									pass


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





									'''simple docstring'''
									pass


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





									'''simple docstring'''
									A__					:       Union[str, Any]     =self.get_tokenizers(do_lower_case=lowerCAmelCase_			)
									for tokenizer in tokenizers:
															with self.subTest(f"{tokenizer.__class__.__name__}"			):
																					A__					:       Optional[int]     =tokenizer.vocab_size
																					A__					:       Optional[int]     =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)

																					A__					:       Union[str, Any]     =["""aaaaa bbbbbb""", """cccccccccdddddddd"""]
																					A__					:       Dict     =tokenizer.add_tokens(lowerCAmelCase_			)
																					A__					:       Optional[Any]     =tokenizer.vocab_size
																					A__					:       Any     =len(lowerCAmelCase_			)

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

																					A__					:       List[Any]     =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			)

																					A__					:       Optional[Any]     ={"""eos_token""": """>>>>|||<||<<|<<""", """pad_token""": """<<<<<|||>|>>>>|>"""}
																					A__					:       Union[str, Any]     =tokenizer.add_special_tokens(lowerCAmelCase_			)
																					A__					:       str     =tokenizer.vocab_size
																					A__					:       Any     =len(lowerCAmelCase_			)

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

																					A__					:       int     =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 lowercase__						(				self	:						str			)      ->		Any:





									'''simple docstring'''
									pass


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





									'''simple docstring'''
									pass



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





									'''simple docstring'''
									A__					:       List[Any]     =self.get_tokenizers(fast=lowerCAmelCase_		,      do_lower_case=lowerCAmelCase_			)
									for tokenizer in tokenizers:
															with self.subTest(f"{tokenizer.__class__.__name__}"			):
																					A__					:       Optional[Any]     =["""ð""", """ɪ""", """s""", """ɪ""", """z""", """ɐ""", """t""", """ɛ""", """k""", """s""", """t"""]
																					A__					:       Union[str, Any]     =tokenizer.convert_tokens_to_string(lowerCAmelCase_			)

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





'''simple docstring'''



import json
import os
import shutil
import tempfile
import unittest

import numpy as np
import pytest

from transformers import CLIPTokenizer, CLIPTokenizerFast
from transformers.models.clip.tokenization_clip import VOCAB_FILES_NAMES
from transformers.testing_utils import require_vision
from transformers.utils import IMAGE_PROCESSOR_NAME, is_vision_available


if is_vision_available():
		from PIL import Image

		from transformers import CLIPSegProcessor, ViTImageProcessor



@require_vision
class lowerCamelCase			(  unittest.TestCase						):



			'''simple docstring'''






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





									'''simple docstring'''
									A__					:       int     =tempfile.mkdtemp()

									# fmt: off
									A__					:       Optional[int]     =["""l""", """o""", """w""", """e""", """r""", """s""", """t""", """i""", """d""", """n""", """lo""", """l</w>""", """w</w>""", """r</w>""", """t</w>""", """low</w>""", """er</w>""", """lowest</w>""", """newer</w>""", """wider""", """<unk>""", """<|startoftext|>""", """<|endoftext|>"""]
									# fmt: on
									A__					:       List[Any]     =dict(zip(lowerCAmelCase_		,      range(len(lowerCAmelCase_			)			)			)			)
									A__					:       Tuple     =["""#version: 0.2""", """l o""", """lo w</w>""", """e r</w>""", """"""]
									A__					:       int     ={"""unk_token""": """<unk>"""}

									A__					:       Optional[Any]     =os.path.join(self.tmpdirname		,      VOCAB_FILES_NAMES["""vocab_file"""]			)
									A__					:       int     =os.path.join(self.tmpdirname		,      VOCAB_FILES_NAMES["""merges_file"""]			)
									with open(self.vocab_file		,      """w"""		,      encoding="""utf-8"""			) as fp:
															fp.write(json.dumps(lowerCAmelCase_			) + """\n"""			)
									with open(self.merges_file		,      """w"""		,      encoding="""utf-8"""			) as fp:
															fp.write("""\n""".join(lowerCAmelCase_			)			)

									A__					:       Dict     ={
									    """do_resize""": True,
									    """size""": 20,
									    """do_center_crop""": True,
									    """crop_size""": 18,
									    """do_normalize""": True,
									    """image_mean""": [0.48145466, 0.4578275, 0.40821073],
									    """image_std""": [0.26862954, 0.26130258, 0.27577711],
									}
									A__					:       Dict     =os.path.join(self.tmpdirname		,      lowerCAmelCase_			)
									with open(self.image_processor_file		,      """w"""		,      encoding="""utf-8"""			) as fp:
															json.dump(lowerCAmelCase_		,      lowerCAmelCase_			)


			def lowercase__						(				self	:						Optional[Any]		,      **lowerCAmelCase_	:						Union[str, Any]			)      ->		int:





									'''simple docstring'''
									return CLIPTokenizer.from_pretrained(self.tmpdirname		,      **lowerCAmelCase_			)


			def lowercase__						(				self	:						Optional[Any]		,      **lowerCAmelCase_	:						Optional[Any]			)      ->		Optional[Any]:





									'''simple docstring'''
									return CLIPTokenizerFast.from_pretrained(self.tmpdirname		,      **lowerCAmelCase_			)


			def lowercase__						(				self	:						Union[str, Any]		,      **lowerCAmelCase_	:						str			)      ->		Union[str, Any]:





									'''simple docstring'''
									return ViTImageProcessor.from_pretrained(self.tmpdirname		,      **lowerCAmelCase_			)


			def lowercase__						(				self	:						Dict			)      ->		str:





									'''simple docstring'''
									shutil.rmtree(self.tmpdirname			)


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





									'''simple docstring'''
									A__					:       Dict     =[np.random.randint(2_55		,      size=(3, 30, 4_00)		,      dtype=np.uinta			)]

									A__					:       int     =[Image.fromarray(np.moveaxis(lowerCAmelCase_		,      0		,      -1			)			) for x in image_inputs]

									return image_inputs


			def lowercase__						(				self	:						Dict			)      ->		Optional[Any]:





									'''simple docstring'''
									A__					:       int     =self.get_tokenizer()
									A__					:       Optional[int]     =self.get_rust_tokenizer()
									A__					:       Any     =self.get_image_processor()

									A__					:       int     =CLIPSegProcessor(tokenizer=lowerCAmelCase_		,      image_processor=lowerCAmelCase_			)
									processor_slow.save_pretrained(self.tmpdirname			)
									A__					:       Dict     =CLIPSegProcessor.from_pretrained(self.tmpdirname		,      use_fast=lowerCAmelCase_			)

									A__					:       int     =CLIPSegProcessor(tokenizer=lowerCAmelCase_		,      image_processor=lowerCAmelCase_			)
									processor_fast.save_pretrained(self.tmpdirname			)
									A__					:       Optional[int]     =CLIPSegProcessor.from_pretrained(self.tmpdirname			)

									self.assertEqual(processor_slow.tokenizer.get_vocab()		,      tokenizer_slow.get_vocab()			)
									self.assertEqual(processor_fast.tokenizer.get_vocab()		,      tokenizer_fast.get_vocab()			)
									self.assertEqual(tokenizer_slow.get_vocab()		,      tokenizer_fast.get_vocab()			)
									self.assertIsInstance(processor_slow.tokenizer		,      lowerCAmelCase_			)
									self.assertIsInstance(processor_fast.tokenizer		,      lowerCAmelCase_			)

									self.assertEqual(processor_slow.image_processor.to_json_string()		,      image_processor.to_json_string()			)
									self.assertEqual(processor_fast.image_processor.to_json_string()		,      image_processor.to_json_string()			)
									self.assertIsInstance(processor_slow.image_processor		,      lowerCAmelCase_			)
									self.assertIsInstance(processor_fast.image_processor		,      lowerCAmelCase_			)


			def lowercase__						(				self	:						str			)      ->		List[str]:





									'''simple docstring'''
									A__					:       List[str]     =CLIPSegProcessor(tokenizer=self.get_tokenizer()		,      image_processor=self.get_image_processor()			)
									processor.save_pretrained(self.tmpdirname			)

									A__					:       List[Any]     =self.get_tokenizer(bos_token="""(BOS)"""		,      eos_token="""(EOS)"""			)
									A__					:       Union[str, Any]     =self.get_image_processor(do_normalize=lowerCAmelCase_		,      padding_value=1.0			)

									A__					:       Optional[int]     =CLIPSegProcessor.from_pretrained(
									    self.tmpdirname		,      bos_token="""(BOS)"""		,      eos_token="""(EOS)"""		,      do_normalize=lowerCAmelCase_		,      padding_value=1.0			)

									self.assertEqual(processor.tokenizer.get_vocab()		,      tokenizer_add_kwargs.get_vocab()			)
									self.assertIsInstance(processor.tokenizer		,      lowerCAmelCase_			)

									self.assertEqual(processor.image_processor.to_json_string()		,      image_processor_add_kwargs.to_json_string()			)
									self.assertIsInstance(processor.image_processor		,      lowerCAmelCase_			)


			def lowercase__						(				self	:						str			)      ->		str:





									'''simple docstring'''
									A__					:       Optional[Any]     =self.get_image_processor()
									A__					:       int     =self.get_tokenizer()

									A__					:       Optional[int]     =CLIPSegProcessor(tokenizer=lowerCAmelCase_		,      image_processor=lowerCAmelCase_			)

									A__					:       Dict     =self.prepare_image_inputs()

									A__					:       List[Any]     =image_processor(lowerCAmelCase_		,      return_tensors="""np"""			)
									A__					:       List[Any]     =processor(images=lowerCAmelCase_		,      return_tensors="""np"""			)

									for key in input_feat_extract.keys():
															self.assertAlmostEqual(input_feat_extract[key].sum()		,      input_processor[key].sum()		,      delta=1e-2			)


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





									'''simple docstring'''
									A__					:       Any     =self.get_image_processor()
									A__					:       Optional[Any]     =self.get_tokenizer()

									A__					:       int     =CLIPSegProcessor(tokenizer=lowerCAmelCase_		,      image_processor=lowerCAmelCase_			)

									A__					:       Any     ="""lower newer"""

									A__					:       Optional[int]     =processor(text=lowerCAmelCase_			)

									A__					:       Optional[int]     =tokenizer(lowerCAmelCase_			)

									for key in encoded_tok.keys():
															self.assertListEqual(encoded_tok[key]		,      encoded_processor[key]			)


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





									'''simple docstring'''
									A__					:       Any     =self.get_image_processor()
									A__					:       Optional[Any]     =self.get_tokenizer()

									A__					:       Union[str, Any]     =CLIPSegProcessor(tokenizer=lowerCAmelCase_		,      image_processor=lowerCAmelCase_			)

									A__					:       Optional[Any]     ="""lower newer"""
									A__					:       List[str]     =self.prepare_image_inputs()

									A__					:       Optional[Any]     =processor(text=lowerCAmelCase_		,      images=lowerCAmelCase_			)

									self.assertListEqual(list(inputs.keys()			)		,      ["""input_ids""", """attention_mask""", """pixel_values"""]			)

									# test if it raises when no input is passed
									with pytest.raises(lowerCAmelCase_			):
															processor()


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





									'''simple docstring'''
									A__					:       Optional[Any]     =self.get_image_processor()
									A__					:       List[str]     =self.get_tokenizer()

									A__					:       Optional[int]     =CLIPSegProcessor(tokenizer=lowerCAmelCase_		,      image_processor=lowerCAmelCase_			)

									A__					:       Tuple     =self.prepare_image_inputs()
									A__					:       str     =self.prepare_image_inputs()

									A__					:       int     =processor(images=lowerCAmelCase_		,      visual_prompt=lowerCAmelCase_			)

									self.assertListEqual(list(inputs.keys()			)		,      ["""pixel_values""", """conditional_pixel_values"""]			)

									# test if it raises when no input is passed
									with pytest.raises(lowerCAmelCase_			):
															processor()



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





									'''simple docstring'''
									A__					:       List[str]     =self.get_image_processor()
									A__					:       Optional[int]     =self.get_tokenizer()

									A__					:       Any     =CLIPSegProcessor(tokenizer=lowerCAmelCase_		,      image_processor=lowerCAmelCase_			)

									A__					:       List[Any]     =[[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

									A__					:       Tuple     =processor.batch_decode(lowerCAmelCase_			)
									A__					:       List[Any]     =tokenizer.batch_decode(lowerCAmelCase_			)

									self.assertListEqual(lowerCAmelCase_		,      lowerCAmelCase_			)

