






from __future__ import annotations

from decimal import Decimal
from math import *  # noqa: F403

from sympy import diff







def 		SCREAMING_SNAKE_CASE							(					__lowerCAmelCase					,    __lowerCAmelCase					,    __lowerCAmelCase = 10**-10			) ->	float:
     UpperCamelCase__			:   str       				=  a
     while True:
          UpperCamelCase__			:   str       				=  Decimal(__lowerCAmelCase			) - (
              Decimal(eval(__lowerCAmelCase			)			) / Decimal(eval(str(diff(__lowerCAmelCase			)			)			)			)  # noqa: S307
          )
          # This number dictates the accuracy of the answer
          if abs(eval(__lowerCAmelCase			)			) < precision:  # noqa: S307
               return float(__lowerCAmelCase			)


# 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
 print(F"""The root of x**2 - 5*x + 2 = 0 is {newton_raphson("x**2 - 5*x + 2", 0.4)}""")
 # Find Square Root of 5
 print(F"""The root of log(x) - 1 = 0 is {newton_raphson("log(x) - 1", 2)}""")
 # Exponential Roots
 print(F"""The root of exp(x) - 1 = 0 is {newton_raphson("exp(x) - 1", 0)}""")







import unittest

from transformers import load_tool
from transformers.utils import is_torch_available


if is_torch_available():
 import torch

from transformers.testing_utils import require_torch

from .test_tools_common import ToolTesterMixin





@require_torch
class 			__a  (    unittest.TestCase       ,   A__       ):







 def 					__lowercase					(		self					:   Any						):


      '''simple docstring'''






      UpperCamelCase__			:   Dict       				=  load_tool("text-to-speech"						)
      self.tool.setup()







 def 					__lowercase					(		self					:   Union[str, Any]						):


      '''simple docstring'''






      torch.manual_seed(0						)
      UpperCamelCase__			:   Union[str, Any]       				=  self.tool("hey"						)
      UpperCamelCase__			:   Any       				=  result.to_raw()
      self.assertTrue(
          torch.allclose(
              resulting_tensor[:3]							,   torch.tensor([-0.0_0_0_5_9_6_6_6_6_8_8_3_2_1_1_5_8_2_9, -0.0_0_0_3_6_5_7_6_4_0_1_9_0_7_9_5_0_6_4, -0.0_0_0_1_3_4_3_9_5_0_2_7_9_9_8_8_3_4_8_5]						)							,   )						)







 def 					__lowercase					(		self					:   List[Any]						):


      '''simple docstring'''






      torch.manual_seed(0						)
      UpperCamelCase__			:   List[Any]       				=  self.tool("hey"						)
      UpperCamelCase__			:   int       				=  result.to_raw()
      self.assertTrue(
          torch.allclose(
              resulting_tensor[:3]							,   torch.tensor([-0.0_0_0_5_9_6_6_6_6_8_8_3_2_1_1_5_8_2_9, -0.0_0_0_3_6_5_7_6_4_0_1_9_0_7_9_5_0_6_4, -0.0_0_0_1_3_4_3_9_5_0_2_7_9_9_8_8_3_4_8_5]						)							,   )						)