
"""simple docstring"""

import shutil
import tempfile
import unittest

from transformers import ClapFeatureExtractor, ClapProcessor, RobertaTokenizer, RobertaTokenizerFast
from transformers.testing_utils import require_sentencepiece, require_torchaudio

from .test_feature_extraction_clap import floats_list






@require_torchaudio
@require_sentencepiece
class 	_lowercase       (    unittest.TestCase		):




	def       _UpperCamelCase   (			self )		->							Union[str, Any]:
			lowerCamelCase					:      Tuple          =   'laion/clap-htsat-unfused'
			lowerCamelCase					:      str          =   tempfile.mkdtemp()




	def       _UpperCamelCase   (			self		,			**UpperCAmelCase_ )		->							List[Any]:
			return RobertaTokenizer.from_pretrained(self.checkpoint		,			**UpperCAmelCase_ )




	def       _UpperCamelCase   (			self		,			**UpperCAmelCase_ )		->							Optional[int]:
			return ClapFeatureExtractor.from_pretrained(self.checkpoint		,			**UpperCAmelCase_ )




	def       _UpperCamelCase   (			self )		->							Optional[Any]:
			shutil.rmtree(self.tmpdirname )




	def       _UpperCamelCase   (			self )		->							List[str]:
			lowerCamelCase					:      str          =   self.get_tokenizer()
			lowerCamelCase					:      Union[str, Any]          =   self.get_feature_extractor()

			lowerCamelCase					:      int          =   ClapProcessor(tokenizer=UpperCAmelCase_		,			feature_extractor=UpperCAmelCase_ )

			processor.save_pretrained(self.tmpdirname )
			lowerCamelCase					:      str          =   ClapProcessor.from_pretrained(self.tmpdirname )

			self.assertEqual(processor.tokenizer.get_vocab()		,			tokenizer.get_vocab() )
			self.assertIsInstance(processor.tokenizer		,			UpperCAmelCase_ )

			self.assertEqual(processor.feature_extractor.to_json_string()		,			feature_extractor.to_json_string() )
			self.assertIsInstance(processor.feature_extractor		,			UpperCAmelCase_ )




	def       _UpperCamelCase   (			self )		->							Any:
			lowerCamelCase					:      int          =   ClapProcessor(tokenizer=self.get_tokenizer()		,			feature_extractor=self.get_feature_extractor() )
			processor.save_pretrained(self.tmpdirname )

			lowerCamelCase					:      List[str]          =   self.get_tokenizer(bos_token='(BOS)'		,			eos_token='(EOS)' )
			lowerCamelCase					:      List[Any]          =   self.get_feature_extractor(do_normalize=UpperCAmelCase_		,			padding_value=1.0 )

			lowerCamelCase					:      List[Any]          =   ClapProcessor.from_pretrained(
			    self.tmpdirname		,			bos_token='(BOS)'		,			eos_token='(EOS)'		,			do_normalize=UpperCAmelCase_		,			padding_value=1.0 )

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

			self.assertEqual(processor.feature_extractor.to_json_string()		,			feature_extractor_add_kwargs.to_json_string() )
			self.assertIsInstance(processor.feature_extractor		,			UpperCAmelCase_ )




	def       _UpperCamelCase   (			self )		->							int:
			lowerCamelCase					:      Optional[Any]          =   self.get_feature_extractor()
			lowerCamelCase					:      Tuple          =   self.get_tokenizer()

			lowerCamelCase					:      Union[str, Any]          =   ClapProcessor(tokenizer=UpperCAmelCase_		,			feature_extractor=UpperCAmelCase_ )

			lowerCamelCase					:      Optional[int]          =   floats_list((3, 1000) )

			lowerCamelCase					:      Union[str, Any]          =   feature_extractor(UpperCAmelCase_		,			return_tensors='np' )
			lowerCamelCase					:      Dict          =   processor(audios=UpperCAmelCase_		,			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       _UpperCamelCase   (			self )		->							str:
			lowerCamelCase					:      int          =   self.get_feature_extractor()
			lowerCamelCase					:      int          =   self.get_tokenizer()

			lowerCamelCase					:      Optional[Any]          =   ClapProcessor(tokenizer=UpperCAmelCase_		,			feature_extractor=UpperCAmelCase_ )

			lowerCamelCase					:      Optional[Any]          =   'This is a test string'

			lowerCamelCase					:      int          =   processor(text=UpperCAmelCase_ )

			lowerCamelCase					:      Optional[int]          =   tokenizer(UpperCAmelCase_ )

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




	def       _UpperCamelCase   (			self )		->							str:
			lowerCamelCase					:      Tuple          =   self.get_feature_extractor()
			lowerCamelCase					:      Dict          =   self.get_tokenizer()

			lowerCamelCase					:      Any          =   ClapProcessor(tokenizer=UpperCAmelCase_		,			feature_extractor=UpperCAmelCase_ )

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

			lowerCamelCase					:      Dict          =   processor.batch_decode(UpperCAmelCase_ )
			lowerCamelCase					:      List[Any]          =   tokenizer.batch_decode(UpperCAmelCase_ )

			self.assertListEqual(UpperCAmelCase_		,			UpperCAmelCase_ )




	def       _UpperCamelCase   (			self )		->							Dict:
			lowerCamelCase					:      Union[str, Any]          =   self.get_feature_extractor()
			lowerCamelCase					:      List[Any]          =   self.get_tokenizer()

			lowerCamelCase					:      Tuple          =   ClapProcessor(tokenizer=UpperCAmelCase_		,			feature_extractor=UpperCAmelCase_ )

			self.assertListEqual(
			    processor.model_input_names[2:]		,			feature_extractor.model_input_names		,			msg='`processor` and `feature_extractor` model input names do not match'		,			)








"""simple docstring"""

# Lint as: python3
import dataclasses
import re
from dataclasses import dataclass
from functools import total_ordering
from typing import Optional, Union


_A						=			re.compile(r'^(?P<major>\d+)' r'\.(?P<minor>\d+)' r'\.(?P<patch>\d+)$')






@total_ordering
@dataclass
class 	_lowercase       :
	lowercase_				=     42
	lowercase_				=     None
	lowercase_				=     None
	lowercase_				=     None
	lowercase_				=     None




	def       _UpperCamelCase   (			self )		->							List[str]:
			lowerCamelCase     ,   lowerCamelCase     ,   lowerCamelCase					:      List[str]          =   _str_to_version_tuple(self.version_str )




	def __repr__(			self )		->							int:
			return F"""{self.tuple[0]}.{self.tuple[1]}.{self.tuple[2]}"""




	@property
	def       _UpperCamelCase   (			self )		->							Dict:
			return self.major, self.minor, self.patch




	def       _UpperCamelCase   (			self		,			UpperCAmelCase_ )		->							Optional[int]:
			if isinstance(UpperCAmelCase_		,			UpperCAmelCase_ ):
					return Version(UpperCAmelCase_ )
			elif isinstance(UpperCAmelCase_		,			UpperCAmelCase_ ):
					return other
			raise TypeError(F"""{other} (type {type(UpperCAmelCase_ )}) cannot be compared to version.""" )




	def __eq__(			self		,			UpperCAmelCase_ )		->							Optional[Any]:
			try:
					lowerCamelCase					:      List[str]          =   self._validate_operand(UpperCAmelCase_ )
			except (TypeError, ValueError):
					return False
			else:
					return self.tuple == other.tuple




	def __lt__(			self		,			UpperCAmelCase_ )		->							Optional[int]:
			lowerCamelCase					:      Optional[int]          =   self._validate_operand(UpperCAmelCase_ )
			return self.tuple < other.tuple




	def __hash__(			self )		->							Optional[Any]:
			return hash(_version_tuple_to_str(self.tuple ) )




	@classmethod
	def       _UpperCamelCase   (			cls		,			UpperCAmelCase_ )		->							Union[str, Any]:
			lowerCamelCase					:      str          =   {f.name for f in dataclasses.fields(cls )}
			return cls(**{k: v for k, v in dic.items() if k in field_names} )




	def       _UpperCamelCase   (			self )		->							str:
			return self.version_str


def 		UpperCAmelCase (		a_      ):





		'''simple docstring'''


		lowerCamelCase					:      Tuple          =   _VERSION_REG.match(a_      )
		if not res:
				raise ValueError(F"""Invalid version '{version_str}'. Format should be x.y.z with {{x,y,z}} being digits."""      )
		return tuple(int(a_      ) for v in [res.group('major'      ), res.group('minor'      ), res.group('patch'      )]      )





def 		UpperCAmelCase (		a_      ):





		'''simple docstring'''


		return ".".join(str(a_      ) for v in version_tuple      )






