






"""simple docstring"""




import unittest

from transformers.utils.backbone_utils import (
    BackboneMixin,
    get_aligned_output_features_output_indices,
    verify_out_features_out_indices,
)






class        UpperCamelCase			(	unittest.TestCase      ):


 def _lowercase	(     self		:						Optional[Any]							)					->       int:
   _a  :       Optional[int]             =	["""a""", """b""", """c"""]

   # Defaults to last layer if both are None
   _a      ,  _a  :       Dict             =	get_aligned_output_features_output_indices(UpperCAmelCase__							,						UpperCAmelCase__							,						UpperCAmelCase__							)
   self.assertEqual(UpperCAmelCase__							,						["""c"""]							)
   self.assertEqual(UpperCAmelCase__							,						[2]							)

   # Out indices set to match out features
   _a      ,  _a  :       Optional[Any]             =	get_aligned_output_features_output_indices(["""a""", """c"""]							,						UpperCAmelCase__							,						UpperCAmelCase__							)
   self.assertEqual(UpperCAmelCase__							,						["""a""", """c"""]							)
   self.assertEqual(UpperCAmelCase__							,						[0, 2]							)

   # Out features set to match out indices
   _a      ,  _a  :       List[Any]             =	get_aligned_output_features_output_indices(UpperCAmelCase__							,						[0, 2]							,						UpperCAmelCase__							)
   self.assertEqual(UpperCAmelCase__							,						["""a""", """c"""]							)
   self.assertEqual(UpperCAmelCase__							,						[0, 2]							)

   # Out features selected from negative indices
   _a      ,  _a  :       str             =	get_aligned_output_features_output_indices(UpperCAmelCase__							,						[-3, -1]							,						UpperCAmelCase__							)
   self.assertEqual(UpperCAmelCase__							,						["""a""", """c"""]							)
   self.assertEqual(UpperCAmelCase__							,						[-3, -1]							)


 def _lowercase	(     self		:						Tuple							)					->       int:
   # Stage names must be set
   with self.assertRaises(UpperCAmelCase__							):
     verify_out_features_out_indices(["""a""", """b"""]							,						(0, 1)							,						UpperCAmelCase__							)

   # Out features must be a list
   with self.assertRaises(UpperCAmelCase__							):
     verify_out_features_out_indices(("""a""", """b""")							,						(0, 1)							,						["""a""", """b"""]							)

   # Out features must be a subset of stage names
   with self.assertRaises(UpperCAmelCase__							):
     verify_out_features_out_indices(["""a""", """b"""]							,						(0, 1)							,						["""a"""]							)

   # Out indices must be a list or tuple
   with self.assertRaises(UpperCAmelCase__							):
     verify_out_features_out_indices(UpperCAmelCase__							,						0							,						["""a""", """b"""]							)

   # Out indices must be a subset of stage names
   with self.assertRaises(UpperCAmelCase__							):
     verify_out_features_out_indices(UpperCAmelCase__							,						(0, 1)							,						["""a"""]							)

   # Out features and out indices must be the same length
   with self.assertRaises(UpperCAmelCase__							):
     verify_out_features_out_indices(["""a""", """b"""]							,						(0,)							,						["""a""", """b""", """c"""]							)

   # Out features should match out indices
   with self.assertRaises(UpperCAmelCase__							):
     verify_out_features_out_indices(["""a""", """b"""]							,						(0, 2)							,						["""a""", """b""", """c"""]							)

   # Out features and out indices should be in order
   with self.assertRaises(UpperCAmelCase__							):
     verify_out_features_out_indices(["""b""", """a"""]							,						(0, 1)							,						["""a""", """b"""]							)

   # Check passes with valid inputs
   verify_out_features_out_indices(["""a""", """b""", """d"""]							,						(0, 1, -1)							,						["""a""", """b""", """c""", """d"""]							)







 def _lowercase	(     self		:						Any							)					->       Tuple:
   _a  :       Optional[Any]             =	BackboneMixin()

   _a  :       Dict             =	["""a""", """b""", """c"""]
   _a  :       Any             =	["""a""", """c"""]
   _a  :       Union[str, Any]             =	[0, 2]

   # Check that the output features and indices are set correctly
   self.assertEqual(backbone.out_features							,						["""a""", """c"""]							)
   self.assertEqual(backbone.out_indices							,						[0, 2]							)

   # Check out features and indices are updated correctly
   _a  :       List[Any]             =	["""a""", """b"""]
   self.assertEqual(backbone.out_features							,						["""a""", """b"""]							)
   self.assertEqual(backbone.out_indices							,						[0, 1]							)

   _a  :       Union[str, Any]             =	[-3, -1]
   self.assertEqual(backbone.out_features							,						["""a""", """c"""]							)
   self.assertEqual(backbone.out_indices							,						[-3, -1]							)









"""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        UpperCamelCase			(	unittest.TestCase      ):


 def _lowercase	(     self		:						int							)					->       List[str]:
   _a  :       Any             =	"""laion/clap-htsat-unfused"""
   _a  :       Union[str, Any]             =	tempfile.mkdtemp()


 def _lowercase	(     self		:						List[Any]							,						**UpperCAmelCase__		:						Any							)					->       Dict:
   return RobertaTokenizer.from_pretrained(self.checkpoint							,						**UpperCAmelCase__							)


 def _lowercase	(     self		:						List[Any]							,						**UpperCAmelCase__		:						List[str]							)					->       int:
   return ClapFeatureExtractor.from_pretrained(self.checkpoint							,						**UpperCAmelCase__							)


 def _lowercase	(     self		:						List[Any]							)					->       Tuple:
   shutil.rmtree(self.tmpdirname							)


 def _lowercase	(     self		:						List[str]							)					->       Optional[int]:
   _a  :       List[str]             =	self.get_tokenizer()
   _a  :       Any             =	self.get_feature_extractor()

   _a  :       Optional[Any]             =	ClapProcessor(tokenizer=UpperCAmelCase__							,						feature_extractor=UpperCAmelCase__							)

   processor.save_pretrained(self.tmpdirname							)
   _a  :       List[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 _lowercase	(     self		:						Dict							)					->       Optional[int]:
   _a  :       Tuple             =	ClapProcessor(tokenizer=self.get_tokenizer()							,						feature_extractor=self.get_feature_extractor()							)
   processor.save_pretrained(self.tmpdirname							)

   _a  :       Dict             =	self.get_tokenizer(bos_token="""(BOS)"""							,						eos_token="""(EOS)"""							)
   _a  :       Union[str, Any]             =	self.get_feature_extractor(do_normalize=UpperCAmelCase__							,						padding_value=1.0							)

   _a  :       Union[str, 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 _lowercase	(     self		:						List[str]							)					->       Optional[Any]:
   _a  :       Optional[int]             =	self.get_feature_extractor()
   _a  :       Tuple             =	self.get_tokenizer()

   _a  :       List[Any]             =	ClapProcessor(tokenizer=UpperCAmelCase__							,						feature_extractor=UpperCAmelCase__							)

   _a  :       Any             =	floats_list((3, 1000)							)

   _a  :       List[Any]             =	feature_extractor(UpperCAmelCase__							,						return_tensors="""np"""							)
   _a  :       List[str]             =	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 _lowercase	(     self		:						Tuple							)					->       Optional[int]:
   _a  :       List[str]             =	self.get_feature_extractor()
   _a  :       Any             =	self.get_tokenizer()

   _a  :       Any             =	ClapProcessor(tokenizer=UpperCAmelCase__							,						feature_extractor=UpperCAmelCase__							)

   _a  :       Optional[int]             =	"""This is a test string"""

   _a  :       Tuple             =	processor(text=UpperCAmelCase__							)

   _a  :       int             =	tokenizer(UpperCAmelCase__							)

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


 def _lowercase	(     self		:						List[Any]							)					->       Any:
   _a  :       str             =	self.get_feature_extractor()
   _a  :       List[str]             =	self.get_tokenizer()

   _a  :       List[Any]             =	ClapProcessor(tokenizer=UpperCAmelCase__							,						feature_extractor=UpperCAmelCase__							)

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

   _a  :       Dict             =	processor.batch_decode(UpperCAmelCase__							)
   _a  :       Any             =	tokenizer.batch_decode(UpperCAmelCase__							)

   self.assertListEqual(UpperCAmelCase__							,						UpperCAmelCase__							)







 def _lowercase	(     self		:						Dict							)					->       List[str]:
   _a  :       str             =	self.get_feature_extractor()
   _a  :       Optional[Any]             =	self.get_tokenizer()

   _a  :       Union[str, Any]             =	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"""							,						)

