


"""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	:					int   =		"""laion/clap-htsat-unfused"""
      _lowerCamelCase	:					Union[str, Any]   =		tempfile.mkdtemp()





   def 		UpperCamelCase_  (							self      ,   **SCREAMING_SNAKE_CASE)  ->  Any:
      return RobertaTokenizer.from_pretrained(self.checkpoint      ,   **SCREAMING_SNAKE_CASE)





   def 		UpperCamelCase_  (							self      ,   **SCREAMING_SNAKE_CASE)  ->  int:
      return ClapFeatureExtractor.from_pretrained(self.checkpoint      ,   **SCREAMING_SNAKE_CASE)





   def 		UpperCamelCase_  (							self)  ->  List[str]:
      shutil.rmtree(self.tmpdirname)





   def 		UpperCamelCase_  (							self)  ->  List[str]:
      _lowerCamelCase	:					Dict   =		self.get_tokenizer()
      _lowerCamelCase	:					List[Any]   =		self.get_feature_extractor()

      _lowerCamelCase	:					str   =		ClapProcessor(tokenizer=SCREAMING_SNAKE_CASE      ,   feature_extractor=SCREAMING_SNAKE_CASE)

      processor.save_pretrained(self.tmpdirname)
      _lowerCamelCase	:					Union[str, Any]   =		ClapProcessor.from_pretrained(self.tmpdirname)

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

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





   def 		UpperCamelCase_  (							self)  ->  Any:
      _lowerCamelCase	:					List[Any]   =		ClapProcessor(tokenizer=self.get_tokenizer()      ,   feature_extractor=self.get_feature_extractor())
      processor.save_pretrained(self.tmpdirname)

      _lowerCamelCase	:					Optional[int]   =		self.get_tokenizer(bos_token="""(BOS)"""      ,   eos_token="""(EOS)""")
      _lowerCamelCase	:					List[str]   =		self.get_feature_extractor(do_normalize=SCREAMING_SNAKE_CASE      ,   padding_value=1.0)

      _lowerCamelCase	:					str   =		ClapProcessor.from_pretrained(
          self.tmpdirname      ,   bos_token="""(BOS)"""      ,   eos_token="""(EOS)"""      ,   do_normalize=SCREAMING_SNAKE_CASE      ,   padding_value=1.0)

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

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





   def 		UpperCamelCase_  (							self)  ->  Optional[Any]:
      _lowerCamelCase	:					Any   =		self.get_feature_extractor()
      _lowerCamelCase	:					Any   =		self.get_tokenizer()

      _lowerCamelCase	:					Optional[Any]   =		ClapProcessor(tokenizer=SCREAMING_SNAKE_CASE      ,   feature_extractor=SCREAMING_SNAKE_CASE)

      _lowerCamelCase	:					Tuple   =		floats_list((3, 1000))

      _lowerCamelCase	:					Tuple   =		feature_extractor(SCREAMING_SNAKE_CASE      ,   return_tensors="""np""")
      _lowerCamelCase	:					Any   =		processor(audios=SCREAMING_SNAKE_CASE      ,   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)  ->  Union[str, Any]:
      _lowerCamelCase	:					Union[str, Any]   =		self.get_feature_extractor()
      _lowerCamelCase	:					Optional[Any]   =		self.get_tokenizer()

      _lowerCamelCase	:					Tuple   =		ClapProcessor(tokenizer=SCREAMING_SNAKE_CASE      ,   feature_extractor=SCREAMING_SNAKE_CASE)

      _lowerCamelCase	:					Tuple   =		"""This is a test string"""

      _lowerCamelCase	:					Union[str, Any]   =		processor(text=SCREAMING_SNAKE_CASE)

      _lowerCamelCase	:					Union[str, Any]   =		tokenizer(SCREAMING_SNAKE_CASE)

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





   def 		UpperCamelCase_  (							self)  ->  Dict:
      _lowerCamelCase	:					Optional[Any]   =		self.get_feature_extractor()
      _lowerCamelCase	:					Tuple   =		self.get_tokenizer()

      _lowerCamelCase	:					Any   =		ClapProcessor(tokenizer=SCREAMING_SNAKE_CASE      ,   feature_extractor=SCREAMING_SNAKE_CASE)

      _lowerCamelCase	:					Dict   =		[[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

      _lowerCamelCase	:					int   =		processor.batch_decode(SCREAMING_SNAKE_CASE)
      _lowerCamelCase	:					List[str]   =		tokenizer.batch_decode(SCREAMING_SNAKE_CASE)

      self.assertListEqual(SCREAMING_SNAKE_CASE      ,   SCREAMING_SNAKE_CASE)





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

      _lowerCamelCase	:					str   =		ClapProcessor(tokenizer=SCREAMING_SNAKE_CASE      ,   feature_extractor=SCREAMING_SNAKE_CASE)

      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"""
import mpmath  # for roots of unity
import numpy as np




class 	lowercase__				:





   def __init__(							self      ,   SCREAMING_SNAKE_CASE=None      ,   SCREAMING_SNAKE_CASE=None)  ->  Tuple:
      # Input as list
      _lowerCamelCase	:					Any   =		list(poly_a or [0])[:]
      _lowerCamelCase	:					Optional[Any]   =		list(poly_b or [0])[:]

      # Remove leading zero coefficients
      while self.polyA[-1] == 0:
         self.polyA.pop()
      _lowerCamelCase	:					int   =		len(self.polyA)

      while self.polyB[-1] == 0:
         self.polyB.pop()
      _lowerCamelCase	:					Union[str, Any]   =		len(self.polyB)

      # Add 0 to make lengths equal a power of 2
      _lowerCamelCase	:					List[Any]   =		int(
          2 ** np.ceil(np.loga(len(self.polyA) + len(self.polyB) - 1)))

      while len(self.polyA) < self.c_max_length:
         self.polyA.append(0)
      while len(self.polyB) < self.c_max_length:
         self.polyB.append(0)
      # A complex root used for the fourier transform
      _lowerCamelCase	:					Optional[Any]   =		complex(mpmath.root(x=1      ,   n=self.c_max_length      ,   k=1))

      # The product
      _lowerCamelCase	:					int   =		self.__multiply()





   def 		UpperCamelCase_  (							self      ,   SCREAMING_SNAKE_CASE)  ->  List[str]:
      _lowerCamelCase	:					Dict   =		[[x] for x in self.polyA] if which == """A""" else [[x] for x in self.polyB]
      # Corner case
      if len(SCREAMING_SNAKE_CASE) <= 1:
         return dft[0]
      #
      _lowerCamelCase	:					str   =		self.c_max_length // 2
      while next_ncol > 0:
         _lowerCamelCase	:					Dict   =		[[] for i in range(SCREAMING_SNAKE_CASE)]
         _lowerCamelCase	:					Tuple   =		self.root**next_ncol

         # First half of next step
         _lowerCamelCase	:					int   =		1
         for j in range(self.c_max_length // (next_ncol * 2)):
            for i in range(SCREAMING_SNAKE_CASE):
               new_dft[i].append(dft[i][j] + current_root * dft[i + next_ncol][j])
            current_root *= root
         # Second half of next step
         _lowerCamelCase	:					Optional[int]   =		1
         for j in range(self.c_max_length // (next_ncol * 2)):
            for i in range(SCREAMING_SNAKE_CASE):
               new_dft[i].append(dft[i][j] - current_root * dft[i + next_ncol][j])
            current_root *= root
         # Update
         _lowerCamelCase	:					Union[str, Any]   =		new_dft
         _lowerCamelCase	:					List[str]   =		next_ncol // 2
      return dft[0]





   def 		UpperCamelCase_  (							self)  ->  str:
      _lowerCamelCase	:					Optional[Any]   =		self.__dft("""A""")
      _lowerCamelCase	:					List[str]   =		self.__dft("""B""")
      _lowerCamelCase	:					List[Any]   =		[[dft_a[i] * dft_b[i] for i in range(self.c_max_length)]]
      del dft_a
      del dft_b

      # Corner Case
      if len(inverce_c[0]) <= 1:
         return inverce_c[0]
      # Inverse DFT
      _lowerCamelCase	:					List[str]   =		2
      while next_ncol <= self.c_max_length:
         _lowerCamelCase	:					Any   =		[[] for i in range(SCREAMING_SNAKE_CASE)]
         _lowerCamelCase	:					List[Any]   =		self.root ** (next_ncol // 2)
         _lowerCamelCase	:					str   =		1
         # First half of next step
         for j in range(self.c_max_length // next_ncol):
            for i in range(next_ncol // 2):
               # Even positions
               new_inverse_c[i].append(
                   (
                       inverce_c[i][j]
                       + inverce_c[i][j + self.c_max_length // next_ncol]
                   )
                   / 2)
               # Odd positions
               new_inverse_c[i + next_ncol // 2].append(
                   (
                       inverce_c[i][j]
                       - inverce_c[i][j + self.c_max_length // next_ncol]
                   )
                   / (2 * current_root))
            current_root *= root
         # Update
         _lowerCamelCase	:					Any   =		new_inverse_c
         next_ncol *= 2
      # Unpack
      _lowerCamelCase	:					Optional[Any]   =		[round(x[0].real      ,   8) + round(x[0].imag      ,   8) * 1j for x in inverce_c]

      # Remove leading 0's
      while inverce_c[-1] == 0:
         inverce_c.pop()
      return inverce_c





   def __str__(							self)  ->  Any:
      _lowerCamelCase	:					Dict   =		"""A = """ + """ + """.join(
          F'{coef}*x^{i}' for coef, i in enumerate(self.polyA[: self.len_A]))
      _lowerCamelCase	:					List[Any]   =		"""B = """ + """ + """.join(
          F'{coef}*x^{i}' for coef, i in enumerate(self.polyB[: self.len_B]))
      _lowerCamelCase	:					int   =		"""A*B = """ + """ + """.join(
          F'{coef}*x^{i}' for coef, i in enumerate(self.product))

      return F'{a}\n{b}\n{c}'


# Unit tests
if __name__ == "__main__":
 import doctest

 doctest.testmod()

