


from sympy import diff, lambdify, symbols
from sympy.functions import *  # noqa: F403

def 			lowerCAmelCase__					(     a__:						str     ,    a__:						complex     ,    a__:						str = "x"     ,    a__:						float = 1_0**-1_0     ,    a__:						int = 1     ,    )    ->						complex:


							'''simple docstring'''





							_UpperCAmelCase											=     symbols(a__			)
							_UpperCAmelCase											=     lambdify(a__     ,    a__			)
							_UpperCAmelCase											=     lambdify(a__     ,    diff(a__     ,    a__			)			)

							_UpperCAmelCase											=     starting_point

							while True:
														if diff_function(a__			) != 0:
																					_UpperCAmelCase											=     prev_guess - multiplicity * func(a__			) / diff_function(
																					    a__			)
														else:
																					raise ZeroDivisionError('Could not find root'			) from None

														# Precision is checked by comparing the difference of consecutive guesses
														if abs(next_guess - prev_guess			) < precision:
																					return next_guess

														_UpperCAmelCase											=     next_guess


# Let's Execute
if __name__ == "__main__":
		# Find root of trigonometric function
		# Find value of pi
		print(f'''The root of sin(x) = 0 is {newton_raphson('sin(x)', 2)}''')

		# Find root of polynomial
		# Find fourth Root of 5
		print(f'''The root of x**4 - 5 = 0 is {newton_raphson('x**4 -5', 0.4 +5J)}''')

		# Find value of e
		print(
		    '''The root of log(y) - 1 = 0 is ''',
		    f'''{newton_raphson('log(y) - 1', 2, variable='y')}''',
		)

		# Exponential Roots
		print(
		    '''The root of exp(x) - 1 = 0 is''',
		    f'''{newton_raphson('exp(x) - 1', 1_0, precision=0.005)}''',
		)

		# Find root of cos(x)
		print(f'''The root of cos(x) = 0 is {newton_raphson('cos(x)', 0)}''')




"""simple docstring"""



# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from ..models.whisper import WhisperForConditionalGeneration, WhisperProcessor
from .base import PipelineTool







class _lowerCAmelCase							( snake_case_      ):
   __UpperCAmelCase					:			List[str]				    =    '''openai/whisper-base'''
   __UpperCAmelCase					:			Any				    =    (
       '''This is a tool that transcribes an audio into text. It takes an input named `audio` and returns the '''
       '''transcribed text.'''
   )
   __UpperCAmelCase					:			Tuple				    =    '''transcriber'''
   __UpperCAmelCase					:			Union[str, Any]				    =    WhisperProcessor
   __UpperCAmelCase					:			str				    =    WhisperForConditionalGeneration

   __UpperCAmelCase					:			int				    =    ['''audio''']
   __UpperCAmelCase					:			Optional[int]				    =    ['''text''']







   def 					lowerCamelCase						(      self		,      UpperCamelCase__		)      ->						Tuple:

       '''simple docstring'''




       return self.pre_processor(UpperCamelCase__		,      return_tensors="pt"		).input_features







   def 					lowerCamelCase						(      self		,      UpperCamelCase__		)      ->						int:

       '''simple docstring'''




       return self.model.generate(inputs=UpperCamelCase__		)







   def 					lowerCamelCase						(      self		,      UpperCamelCase__		)      ->						Optional[Any]:

       '''simple docstring'''




       return self.pre_processor.batch_decode(UpperCamelCase__		,      skip_special_tokens=UpperCamelCase__		)[0]





