



import inspect
import json
import os
import tempfile
import unittest

from transformers.models.speech_to_text_a import SpeechaTextaTokenizer
from transformers.models.speech_to_text_a.tokenization_speech_to_text_a import VOCAB_FILES_NAMES

from ...test_tokenization_common import TokenizerTesterMixin



class 		_snake_case      (			lowerCamelCase					,unittest.TestCase				):





 """simple docstring"""



 lowerCamelCase_          =			SpeechaTextaTokenizer
 lowerCamelCase_          =			False
 def lowercase_		(						self					)	->							Optional[Any]:




   """simple docstring"""







   super().setUp()

   _A           =    '''<s> <pad> </s> <unk> here@@ a couple of@@ words for the he@@ re@@ vocab'''.split(''' '''					)
   _A           =    ['''he re</w> 123''', '''here a 1456''']
   _A           =    dict(zip(a	,    range(len(a					)					)					)					)

   _A           =    {'''pad_token''': '''<pad>''', '''unk_token''': '''<unk>''', '''bos_token''': '''<s>''', '''eos_token''': '''</s>'''}

   _A           =    tempfile.mkdtemp()
   _A           =    os.path.join(self.tmpdirname	,    VOCAB_FILES_NAMES['''vocab_file''']					)
   _A           =    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(a					) + '''\n'''					)

   with open(self.merges_file	,    '''w'''					) as fp:
     fp.write('''\n'''.join(a					)					)
 def lowercase_		(						self					)	->							List[Any]:




   """simple docstring"""







   _A           =    list(self.get_tokenizer().get_vocab().keys()					)

   self.assertEqual(vocab_keys[0]	,    '''<s>'''					)
   self.assertEqual(vocab_keys[1]	,    '''<pad>'''					)
   self.assertEqual(vocab_keys[-1]	,    '''vocab'''					)
   self.assertEqual(len(a					)	,    1_4					)
 def lowercase_		(						self					)	->							str:




   """simple docstring"""







   self.assertEqual(self.get_tokenizer().vocab_size	,    1_4					)
 def lowercase_		(						self					)	->							List[Any]:




   """simple docstring"""







   _A           =    SpeechaTextaTokenizer.from_pretrained(self.tmpdirname					)

   # make sure @@ is correctly concatenated
   _A           =    [4, 6, 8, 7, 1_0]  # ["here@@", "couple", "words", "of@@", "the"]
   _A           =    tokenizer.decode(a					)

   self.assertTrue(output_string == '''herecouple words ofthe'''					)
 def lowercase_		(						self					)	->							str:




   """simple docstring"""







   _A           =    SpeechaTextaTokenizer.from_pretrained(self.tmpdirname					)

   with tempfile.TemporaryDirectory() as tmp_dirname:
     tokenizer.save_pretrained(a					)
     os.remove(os.path.join(a	,    '''merges.txt'''					)					)

     # load tokenizer without merges file should not throw an error
     _A           =    SpeechaTextaTokenizer.from_pretrained(a					)

   with tempfile.TemporaryDirectory() as tmp_dirname:
     # save tokenizer and load again
     tokenizer.save_pretrained(a					)
     _A           =    SpeechaTextaTokenizer.from_pretrained(a					)

   self.assertIsNotNone(a					)



 def lowercase_		(						self					)	->							Dict:




   """simple docstring"""







   if not self.test_slow_tokenizer:
     return

   _A           =    inspect.signature(self.tokenizer_class.__init__					)
   _A           =    self.get_tokenizer()

   for parameter_name, parameter in signature.parameters.items():
     if parameter.default != inspect.Parameter.empty and parameter_name != "merges_file":
       self.assertIn(a	,    tokenizer.init_kwargs					)




import platform
from argparse import ArgumentParser

import huggingface_hub
import pandas
import pyarrow

from datasets import __version__ as version
from datasets.commands import BaseDatasetsCLICommand




def     UpperCAmelCase__ (							__snake_case							)   -> Optional[Any]:
  return EnvironmentCommand()



class 		_snake_case      (			lowerCamelCase				):





 """simple docstring"""



 @staticmethod
 def lowercase_		(						a					)	->							Dict:




   """simple docstring"""







   _A           =    parser.add_parser('''env'''	,    help='''Print relevant system environment info.'''					)
   download_parser.set_defaults(func=a					)
 def lowercase_		(						self					)	->							Optional[int]:




   """simple docstring"""







   _A           =    {
       '''`datasets` version''': version,
       '''Platform''': platform.platform(),
       '''Python version''': platform.python_version(),
       '''Huggingface_hub version''': huggingface_hub.__version__,
       '''PyArrow version''': pyarrow.__version__,
       '''Pandas version''': pandas.__version__,
   }

   print('''\nCopy-and-paste the text below in your GitHub issue.\n'''					)
   print(self.format_dict(a					)					)

   return info



 @staticmethod
 def lowercase_		(						a					)	->							Optional[int]:




   """simple docstring"""







   return "\n".join([f'''- {prop}: {val}''' for prop, val in d.items()]					) + "\n"