




"""simple docstring"""

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


__lowerCamelCase								=						5_03_58
__lowerCamelCase								=						5_03_62



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

				'''simple docstring'''




				def 				snake_case_ (							self      :  List[Any]     ):
								UpperCAmelCase_					:Tuple      			=      '''openai/whisper-small.en'''
								UpperCAmelCase_					:List[str]      			=      tempfile.mkdtemp()





				def 				snake_case_ (							self      :  Dict					,							**snake_case      :  str     ):
								return WhisperTokenizer.from_pretrained(self.checkpoint					,							**snake_case     )





				def 				snake_case_ (							self      :  List[str]					,							**snake_case      :  Union[str, Any]     ):
								return WhisperFeatureExtractor.from_pretrained(self.checkpoint					,							**snake_case     )





				def 				snake_case_ (							self      :  Dict     ):
								shutil.rmtree(self.tmpdirname     )





				def 				snake_case_ (							self      :  Optional[Any]     ):
								UpperCAmelCase_					:int      			=      self.get_tokenizer()
								UpperCAmelCase_					:Dict      			=      self.get_feature_extractor()

								UpperCAmelCase_					:Tuple      			=      WhisperProcessor(tokenizer=snake_case					,							feature_extractor=snake_case     )

								processor.save_pretrained(self.tmpdirname     )
								UpperCAmelCase_					:Optional[int]      			=      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 				snake_case_ (							self      :  Dict     ):
								UpperCAmelCase_					:Dict      			=      WhisperProcessor(tokenizer=self.get_tokenizer()					,							feature_extractor=self.get_feature_extractor()     )
								processor.save_pretrained(self.tmpdirname     )

								UpperCAmelCase_					:Optional[int]      			=      self.get_tokenizer(bos_token='''(BOS)'''					,							eos_token='''(EOS)'''     )
								UpperCAmelCase_					:Dict      			=      self.get_feature_extractor(do_normalize=snake_case					,							padding_value=1.0     )

								UpperCAmelCase_					:Tuple      			=      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 				snake_case_ (							self      :  Union[str, Any]     ):
								UpperCAmelCase_					:str      			=      self.get_feature_extractor()
								UpperCAmelCase_					:str      			=      self.get_tokenizer()

								UpperCAmelCase_					:Optional[int]      			=      WhisperProcessor(tokenizer=snake_case					,							feature_extractor=snake_case     )

								UpperCAmelCase_					:Union[str, Any]      			=      floats_list((3, 1_000)     )

								UpperCAmelCase_					:Optional[int]      			=      feature_extractor(snake_case					,							return_tensors='''np'''     )
								UpperCAmelCase_					:List[Any]      			=      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 				snake_case_ (							self      :  List[Any]     ):
								UpperCAmelCase_					:Any      			=      self.get_feature_extractor()
								UpperCAmelCase_					:Tuple      			=      self.get_tokenizer()

								UpperCAmelCase_					:Any      			=      WhisperProcessor(tokenizer=snake_case					,							feature_extractor=snake_case     )

								UpperCAmelCase_					:Tuple      			=      '''This is a test string'''

								UpperCAmelCase_					:Any      			=      processor(text=snake_case     )

								UpperCAmelCase_					:Dict      			=      tokenizer(snake_case     )

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





				def 				snake_case_ (							self      :  str     ):
								UpperCAmelCase_					:List[Any]      			=      self.get_feature_extractor()
								UpperCAmelCase_					:Optional[int]      			=      self.get_tokenizer()

								UpperCAmelCase_					:Union[str, Any]      			=      WhisperProcessor(tokenizer=snake_case					,							feature_extractor=snake_case     )

								UpperCAmelCase_					:Optional[int]      			=      [[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

								UpperCAmelCase_					:Optional[Any]      			=      processor.batch_decode(snake_case     )
								UpperCAmelCase_					:str      			=      tokenizer.batch_decode(snake_case     )

								self.assertListEqual(snake_case					,							snake_case     )





				def 				snake_case_ (							self      :  int     ):
								UpperCAmelCase_					:List[Any]      			=      self.get_feature_extractor()
								UpperCAmelCase_					:Optional[Any]      			=      self.get_tokenizer()

								UpperCAmelCase_					:int      			=      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 				snake_case_ (							self      :  Any     ):
								UpperCAmelCase_					:List[Any]      			=      self.get_feature_extractor()
								UpperCAmelCase_					:List[str]      			=      self.get_tokenizer()

								UpperCAmelCase_					:Optional[Any]      			=      WhisperProcessor(tokenizer=snake_case					,							feature_extractor=snake_case     )
								UpperCAmelCase_					:Dict      			=      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)     )

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





				def 				snake_case_ (							self      :  int     ):
								UpperCAmelCase_					:Optional[Any]      			=      WhisperProcessor(tokenizer=self.get_tokenizer()					,							feature_extractor=self.get_feature_extractor()     )
								UpperCAmelCase_					:Tuple      			=      processor.get_prompt_ids('''Mr. Quilter'''     )
								UpperCAmelCase_					:Union[str, Any]      			=      processor.tokenizer.decode(snake_case     )

								self.assertListEqual(prompt_ids.tolist()					,							[50_360, 1_770, 13, 2_264, 346, 353]     )
								self.assertEqual(snake_case					,							'''<|startofprev|> Mr. Quilter'''     )





				def 				snake_case_ (							self      :  Dict     ):
								UpperCAmelCase_					:Optional[Any]      			=      WhisperProcessor(tokenizer=self.get_tokenizer()					,							feature_extractor=self.get_feature_extractor()     )
								UpperCAmelCase_					:Optional[int]      			=      processor.get_prompt_ids(''''''     )
								UpperCAmelCase_					:Tuple      			=      processor.tokenizer.decode(snake_case     )

								self.assertListEqual(prompt_ids.tolist()					,							[50_360, 220]     )
								self.assertEqual(snake_case					,							'''<|startofprev|> '''     )





				def 				snake_case_ (							self      :  Tuple     ):
								UpperCAmelCase_					:Tuple      			=      WhisperProcessor(tokenizer=self.get_tokenizer()					,							feature_extractor=self.get_feature_extractor()     )

								def _test_prompt_error_raised_helper(snake_case      :  Union[str, Any]					,							snake_case      :  List[Any]     ):
												with pytest.raises(snake_case     ) as excinfo:
																processor.get_prompt_ids(snake_case     )
												UpperCAmelCase_					:int      			=      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|>'''     )








"""simple docstring"""

def 				a (						__snake_case     :				list[list[int]]  ):



				'''simple docstring'''





				if len(__snake_case  ) == 0 or not all(len(__snake_case  ) == 2 for pair in coordinates  ):
								raise ValueError('''The program cannot work out a fitting polynomial.'''  )

				if len({tuple(__snake_case  ) for pair in coordinates}  ) != len(__snake_case  ):
								raise ValueError('''The program cannot work out a fitting polynomial.'''  )

				UpperCAmelCase_					:Optional[Any]      			=      {x for x, _ in coordinates}
				if len(__snake_case  ) == 1:
								return f'x={coordinates[0][0]}'

				if len(__snake_case  ) != len(__snake_case  ):
								raise ValueError('''The program cannot work out a fitting polynomial.'''  )

				UpperCAmelCase_					:List[Any]      			=      len(__snake_case  )

				UpperCAmelCase_					:str      			=      0
				UpperCAmelCase_					:list[list[float]]      			=      []
				# put the x and x to the power values in a matrix
				while count_of_line < x:
								UpperCAmelCase_					:str      			=      0
								UpperCAmelCase_					:Optional[int]      			=      coordinates[count_of_line][0]
								UpperCAmelCase_					:list[float]      			=      []
								while count_in_line < x:
												count_line.append(a ** (x - (count_in_line + 1))  )
												count_in_line += 1
								matrix.append(__snake_case  )
								count_of_line += 1

				UpperCAmelCase_					:Dict      			=      0
				# put the y values into a vector
				UpperCAmelCase_					:list[float]      			=      []
				while count_of_line < x:
								vector.append(coordinates[count_of_line][1]  )
								count_of_line += 1

				UpperCAmelCase_					:Dict      			=      0

				while count < x:
								UpperCAmelCase_					:Any      			=      0
								while zahlen < x:
												if count == zahlen:
																zahlen += 1
												if zahlen == x:
																break
												UpperCAmelCase_					:str      			=      matrix[zahlen][count] / matrix[count][count]
												for counting_columns, item in enumerate(matrix[count]  ):
																# manipulating all the values in the matrix
																matrix[zahlen][counting_columns] -= item * bruch
												# manipulating the values in the vector
												vector[zahlen] -= vector[count] * bruch
												zahlen += 1
								count += 1

				UpperCAmelCase_					:Tuple      			=      0
				# make solutions
				UpperCAmelCase_					:list[str]      			=      []
				while count < x:
								solution.append(str(vector[count] / matrix[count][count]  )  )
								count += 1

				UpperCAmelCase_					:Optional[int]      			=      0
				UpperCAmelCase_					:Optional[Any]      			=      '''f(x)='''

				while count < x:
								UpperCAmelCase_					:list[str]      			=      solution[count].split('''E'''  )
								if len(__snake_case  ) > 1:
												UpperCAmelCase_					:List[Any]      			=      f'{remove_e[0]}*10^{remove_e[1]}'
								solved += f'x^{x - (count + 1)}*{solution[count]}'
								if count + 1 != x:
												solved += "+"
								count += 1

				return solved


if __name__ == "__main__":
						print(points_to_polynomial([]))
						print(points_to_polynomial([[]]))
						print(points_to_polynomial([[1, 0], [2, 0], [3, 0]]))
						print(points_to_polynomial([[1, 1], [2, 1], [3, 1]]))
						print(points_to_polynomial([[1, 3], [2, 3], [3, 3]]))
						print(points_to_polynomial([[1, 1], [2, 2], [3, 3]]))
						print(points_to_polynomial([[1, 1], [2, 4], [3, 9]]))
						print(points_to_polynomial([[1, 3], [2, 6], [3, 11]]))
						print(points_to_polynomial([[1, -3], [2, -6], [3, -11]]))
						print(points_to_polynomial([[1, 5], [2, 2], [3, 9]]))


