

def 	lowercase_							(A			:			int				):






       if number != int(snake_case__				):
              raise ValueError('factorial() only accepts integral values'				)
       if number < 0:
              raise ValueError('factorial() not defined for negative values'				)
       snake_case__							:     Any            =     1
       for i in range(1		, number + 1				):
              value *= i
       return value
def 	lowercase_							(A			:			int				):






       if not isinstance(snake_case__		, snake_case__				):
              raise ValueError('factorial() only accepts integral values'				)
       if n < 0:
              raise ValueError('factorial() not defined for negative values'				)
       return 1 if n == 0 or n == 1 else n * factorial(n - 1				)


if __name__ == "__main__":
 import doctest

 doctest.testmod()

 a_       :Tuple				  =				int(input("Enter a positive integer: ").strip() or 0)
 print(F"""factorial{n} is {factorial(n)}""")











import shutil
import tempfile
import unittest

import pytest

from transformers import WhisperTokenizer, is_speech_available
from transformers.testing_utils import require_sentencepiece, require_torch, require_torchaudio

from .test_feature_extraction_whisper import floats_list


if is_speech_available():
 from transformers import WhisperFeatureExtractor, WhisperProcessor


a_       :List[Any]				  =				50_358
a_       :int				  =				50_362




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






     """simple docstring"""


     def        lowercase_       (	self  :  Dict )       ->List[Any]:
            snake_case__							:     int            =     'openai/whisper-small.en'
            snake_case__							:     List[Any]            =     tempfile.mkdtemp()






     def        lowercase_       (	self  :  Any,			**_snake_case  :  List[str] )       ->Union[str, Any]:
            return WhisperTokenizer.from_pretrained(self.checkpoint,			**_snake_case )






     def        lowercase_       (	self  :  Union[str, Any],			**_snake_case  :  int )       ->Optional[int]:
            return WhisperFeatureExtractor.from_pretrained(self.checkpoint,			**_snake_case )






     def        lowercase_       (	self  :  Any )       ->Union[str, Any]:
            shutil.rmtree(self.tmpdirname )






     def        lowercase_       (	self  :  Dict )       ->Tuple:
            snake_case__							:     Dict            =     self.get_tokenizer()
            snake_case__							:     List[str]            =     self.get_feature_extractor()

            snake_case__							:     List[Any]            =     WhisperProcessor(tokenizer=_snake_case,			feature_extractor=_snake_case )

            processor.save_pretrained(self.tmpdirname )
            snake_case__							:     Dict            =     WhisperProcessor.from_pretrained(self.tmpdirname )

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

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






     def        lowercase_       (	self  :  List[Any] )       ->str:
            snake_case__							:     str            =     WhisperProcessor(tokenizer=self.get_tokenizer(),			feature_extractor=self.get_feature_extractor() )
            processor.save_pretrained(self.tmpdirname )

            snake_case__							:     Dict            =     self.get_tokenizer(bos_token='(BOS)',			eos_token='(EOS)' )
            snake_case__							:     List[str]            =     self.get_feature_extractor(do_normalize=_snake_case,			padding_value=1.0 )

            snake_case__							:     List[Any]            =     WhisperProcessor.from_pretrained(
                self.tmpdirname,			bos_token='(BOS)',			eos_token='(EOS)',			do_normalize=_snake_case,			padding_value=1.0 )

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

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






     def        lowercase_       (	self  :  Union[str, Any] )       ->Dict:
            snake_case__							:     Dict            =     self.get_feature_extractor()
            snake_case__							:     Dict            =     self.get_tokenizer()

            snake_case__							:     List[Any]            =     WhisperProcessor(tokenizer=_snake_case,			feature_extractor=_snake_case )

            snake_case__							:     int            =     floats_list((3, 1_0_0_0) )

            snake_case__							:     Optional[int]            =     feature_extractor(_snake_case,			return_tensors='np' )
            snake_case__							:     Optional[int]            =     processor(_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        lowercase_       (	self  :  Dict )       ->Any:
            snake_case__							:     Tuple            =     self.get_feature_extractor()
            snake_case__							:     Optional[int]            =     self.get_tokenizer()

            snake_case__							:     Optional[int]            =     WhisperProcessor(tokenizer=_snake_case,			feature_extractor=_snake_case )

            snake_case__							:     Any            =     'This is a test string'

            snake_case__							:     Dict            =     processor(text=_snake_case )

            snake_case__							:     List[str]            =     tokenizer(_snake_case )

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






     def        lowercase_       (	self  :  Dict )       ->Dict:
            snake_case__							:     Optional[Any]            =     self.get_feature_extractor()
            snake_case__							:     Optional[int]            =     self.get_tokenizer()

            snake_case__							:     Optional[int]            =     WhisperProcessor(tokenizer=_snake_case,			feature_extractor=_snake_case )

            snake_case__							:     Union[str, Any]            =     [[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

            snake_case__							:     List[str]            =     processor.batch_decode(_snake_case )
            snake_case__							:     Dict            =     tokenizer.batch_decode(_snake_case )

            self.assertListEqual(_snake_case,			_snake_case )






     def        lowercase_       (	self  :  Union[str, Any] )       ->Optional[Any]:
            snake_case__							:     str            =     self.get_feature_extractor()
            snake_case__							:     Dict            =     self.get_tokenizer()

            snake_case__							:     Any            =     WhisperProcessor(tokenizer=_snake_case,			feature_extractor=_snake_case )

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






     def        lowercase_       (	self  :  int )       ->Dict:
            snake_case__							:     Tuple            =     self.get_feature_extractor()
            snake_case__							:     Tuple            =     self.get_tokenizer()

            snake_case__							:     Optional[int]            =     WhisperProcessor(tokenizer=_snake_case,			feature_extractor=_snake_case )
            snake_case__							:     Any            =     processor.get_decoder_prompt_ids(task='transcribe',			no_timestamps=_snake_case )

            self.assertIsInstance(_snake_case,			_snake_case )
            for ids in forced_decoder_ids:
                   self.assertIsInstance(_snake_case,			(list, tuple) )

            snake_case__							:     List[str]            =     [TRANSCRIBE, NOTIMESTAMPS]
            self.assertListEqual([ids[-1] for ids in forced_decoder_ids],			_snake_case )






     def        lowercase_       (	self  :  Optional[int] )       ->int:
            snake_case__							:     List[Any]            =     WhisperProcessor(tokenizer=self.get_tokenizer(),			feature_extractor=self.get_feature_extractor() )
            snake_case__							:     Optional[Any]            =     processor.get_prompt_ids('Mr. Quilter' )
            snake_case__							:     List[Any]            =     processor.tokenizer.decode(_snake_case )

            self.assertListEqual(prompt_ids.tolist(),			[5_0_3_6_0, 1_7_7_0, 1_3, 2_2_6_4, 3_4_6, 3_5_3] )
            self.assertEqual(_snake_case,			'<|startofprev|> Mr. Quilter' )






     def        lowercase_       (	self  :  Tuple )       ->Tuple:
            snake_case__							:     int            =     WhisperProcessor(tokenizer=self.get_tokenizer(),			feature_extractor=self.get_feature_extractor() )
            snake_case__							:     List[str]            =     processor.get_prompt_ids('' )
            snake_case__							:     List[Any]            =     processor.tokenizer.decode(_snake_case )

            self.assertListEqual(prompt_ids.tolist(),			[5_0_3_6_0, 2_2_0] )
            self.assertEqual(_snake_case,			'<|startofprev|> ' )






     def        lowercase_       (	self  :  Tuple )       ->str:
            snake_case__							:     Any            =     WhisperProcessor(tokenizer=self.get_tokenizer(),			feature_extractor=self.get_feature_extractor() )

            def _test_prompt_error_raised_helper(_snake_case  :  str,			_snake_case  :  int ):
                   with pytest.raises(_snake_case ) as excinfo:
                          processor.get_prompt_ids(_snake_case )
                   snake_case__							:     Dict            =     F'''Encountered text in the prompt corresponding to disallowed special token: {special_token}.'''
                   self.assertEqual(_snake_case,			str(excinfo.value ) )

            _test_prompt_error_raised_helper('<|startofprev|> test',			'<|startofprev|>' )
            _test_prompt_error_raised_helper('test <|notimestamps|>',			'<|notimestamps|>' )
            _test_prompt_error_raised_helper('test <|zh|> test <|transcribe|>',			'<|zh|>' )






