


'''simple docstring'''

import shutil
import tempfile
import unittest
from pathlib import Path
from shutil import copyfile

from transformers import SpeechaTextTokenizer, is_speech_available
from transformers.models.speech_to_text.tokenization_speech_to_text import VOCAB_FILES_NAMES, save_json
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_torch, require_torchaudio
from transformers.utils import FEATURE_EXTRACTOR_NAME

from .test_feature_extraction_speech_to_text import floats_list


if is_speech_available():
     from transformers import SpeechaTextFeatureExtractor, SpeechaTextProcessor


a_  :    Optional[int]      =			get_tests_dir("""fixtures/test_sentencepiece.model""")





@require_torch
@require_torchaudio
@require_sentencepiece
class  snake_case   (   unittest.TestCase      ):





  """simple docstring"""




  def   snake_case		(   self					):







   """simple docstring"""
   lowerCamelCase_								=  tempfile.mkdtemp()

   lowerCamelCase_								=  ["<s>", "<pad>", "</s>", "<unk>", "▁This", "▁is", "▁a", "▁t", "est"]
   lowerCamelCase_								=  dict(zip(UpperCamelCase      ,  range(len(UpperCamelCase					)					)					)					)
   lowerCamelCase_								=  Path(self.tmpdirname					)
   save_json(UpperCamelCase      ,  save_dir / VOCAB_FILES_NAMES["vocab_file"]					)
   if not (save_dir / VOCAB_FILES_NAMES["spm_file"]).exists():
    copyfile(UpperCamelCase      ,  save_dir / VOCAB_FILES_NAMES["spm_file"]					)

   lowerCamelCase_								=  SpeechaTextTokenizer.from_pretrained(self.tmpdirname					)
   tokenizer.save_pretrained(self.tmpdirname					)

   lowerCamelCase_								=  {
       "feature_size": 24,
       "num_mel_bins": 24,
       "padding_value": 0.0,
       "sampling_rate": 1_6000,
       "return_attention_mask": False,
       "do_normalize": True,
   }
   save_json(UpperCamelCase      ,  save_dir / FEATURE_EXTRACTOR_NAME					)






  def   snake_case		(   self      ,  **UpperCamelCase					):







   """simple docstring"""
   return SpeechaTextTokenizer.from_pretrained(self.tmpdirname      ,  **UpperCamelCase					)






  def   snake_case		(   self      ,  **UpperCamelCase					):







   """simple docstring"""
   return SpeechaTextFeatureExtractor.from_pretrained(self.tmpdirname      ,  **UpperCamelCase					)






  def   snake_case		(   self					):







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






  def   snake_case		(   self					):







   """simple docstring"""
   lowerCamelCase_								=  self.get_tokenizer()
   lowerCamelCase_								=  self.get_feature_extractor()

   lowerCamelCase_								=  SpeechaTextProcessor(tokenizer=UpperCamelCase      ,  feature_extractor=UpperCamelCase					)

   processor.save_pretrained(self.tmpdirname					)
   lowerCamelCase_								=  SpeechaTextProcessor.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   snake_case		(   self					):







   """simple docstring"""
   lowerCamelCase_								=  SpeechaTextProcessor(
       tokenizer=self.get_tokenizer()      ,  feature_extractor=self.get_feature_extractor()					)
   processor.save_pretrained(self.tmpdirname					)

   lowerCamelCase_								=  self.get_tokenizer(bos_token="(BOS)"      ,  eos_token="(EOS)"					)
   lowerCamelCase_								=  self.get_feature_extractor(do_normalize=UpperCamelCase      ,  padding_value=1.0					)

   lowerCamelCase_								=  SpeechaTextProcessor.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   snake_case		(   self					):







   """simple docstring"""
   lowerCamelCase_								=  self.get_feature_extractor()
   lowerCamelCase_								=  self.get_tokenizer()

   lowerCamelCase_								=  SpeechaTextProcessor(tokenizer=UpperCamelCase      ,  feature_extractor=UpperCamelCase					)

   lowerCamelCase_								=  floats_list((3, 1000)					)

   lowerCamelCase_								=  feature_extractor(UpperCamelCase      ,  return_tensors="np"					)
   lowerCamelCase_								=  processor(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   snake_case		(   self					):







   """simple docstring"""
   lowerCamelCase_								=  self.get_feature_extractor()
   lowerCamelCase_								=  self.get_tokenizer()

   lowerCamelCase_								=  SpeechaTextProcessor(tokenizer=UpperCamelCase      ,  feature_extractor=UpperCamelCase					)

   lowerCamelCase_								=  "This is a test string"

   lowerCamelCase_								=  processor(text=UpperCamelCase					)

   lowerCamelCase_								=  tokenizer(UpperCamelCase					)

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






  def   snake_case		(   self					):







   """simple docstring"""
   lowerCamelCase_								=  self.get_feature_extractor()
   lowerCamelCase_								=  self.get_tokenizer()

   lowerCamelCase_								=  SpeechaTextProcessor(tokenizer=UpperCamelCase      ,  feature_extractor=UpperCamelCase					)

   lowerCamelCase_								=  [[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

   lowerCamelCase_								=  processor.batch_decode(UpperCamelCase					)
   lowerCamelCase_								=  tokenizer.batch_decode(UpperCamelCase					)

   self.assertListEqual(UpperCamelCase      ,  UpperCamelCase					)







  def   snake_case		(   self					):







   """simple docstring"""
   lowerCamelCase_								=  self.get_feature_extractor()
   lowerCamelCase_								=  self.get_tokenizer()

   lowerCamelCase_								=  SpeechaTextProcessor(tokenizer=UpperCamelCase      ,  feature_extractor=UpperCamelCase					)

   self.assertListEqual(
       processor.model_input_names      ,  feature_extractor.model_input_names      ,  msg="`processor` and `feature_extractor` model input names do not match"      ,  )







'''simple docstring'''

class 					snake_case   :





  """simple docstring"""




  def __init__(   self      ,  UpperCamelCase					):







   """simple docstring"""
   lowerCamelCase_								=  data
   lowerCamelCase_								=  None
   lowerCamelCase_								=  None





def __snake_case (				UpperCAmelCase_						:						BinaryTreeNode | None ,    UpperCAmelCase_						:						int		):
 if node is None:
  lowerCamelCase_								=  BinaryTreeNode(UpperCAmelCase_		)
  return node

 # binary search tree is not empty,
 # so we will insert it into the tree
 # if new_value is less than value of data in node,
 #  add it to left subtree and proceed recursively
 if new_value < node.data:
  lowerCamelCase_								=  insert(node.left_child ,    UpperCAmelCase_		)
 else:
  # if new_value is greater than value of data in node,
  #  add it to right subtree and proceed recursively
  lowerCamelCase_								=  insert(node.right_child ,    UpperCAmelCase_		)
 return node





def __snake_case (				UpperCAmelCase_						:						None | BinaryTreeNode		):  # if node is None,return
 if node:
  lowerCamelCase_								=  inorder(node.left_child		)
  lowerCamelCase_								=  [*inorder_array, node.data]
  lowerCamelCase_								=  inorder_array + inorder(node.right_child		)
 else:
  lowerCamelCase_								=  []
 return inorder_array





def __snake_case (				):
 lowerCamelCase_								=  insert(UpperCAmelCase_ ,    15		)
 insert(UpperCAmelCase_ ,    10		)
 insert(UpperCAmelCase_ ,    25		)
 insert(UpperCAmelCase_ ,    6		)
 insert(UpperCAmelCase_ ,    14		)
 insert(UpperCAmelCase_ ,    20		)
 insert(UpperCAmelCase_ ,    60		)
 return root





def __snake_case (				):
 # main function
 lowerCamelCase_								=  make_tree()
 print("Printing values of binary search tree in Inorder Traversal."		)
 inorder(UpperCAmelCase_		)


if __name__ == "__main__":
     import doctest

     doctest.testmod()
     main()



