





import doctest
import logging
import os
import unittest
from pathlib import Path
from typing import List, Union

import transformers
from transformers.testing_utils import require_tf, require_torch, slow


_A :   int								=  logging.getLogger()


@unittest.skip("Temporarily disable the doc tests." )
@require_torch
@require_tf
@slow
class        __SCREAMING_SNAKE_CASE      (			unittest.TestCase ):







       def 						__lowerCamelCase   (				self					:     Dict		, A					:     Any		, A					:     int = None		, A					:     Optional[Any] = None		, A					:     List[Any] = None		, A					:     Any = True		, )       ->Optional[int]:
          lowerCamelCase__       :						Dict        =							[file for file in os.listdir(lowerCamelCase_      ) if os.path.isfile(os.path.join(lowerCamelCase_		, lowerCamelCase_      )      )]

          if identifier is not None:
             lowerCamelCase__       :						Any        =							[file for file in files if identifier in file]

          if n_identifier is not None:
             if isinstance(lowerCamelCase_		, lowerCamelCase_      ):
                for n_ in n_identifier:
                   lowerCamelCase__       :						Dict        =							[file for file in files if n_ not in file]
             else:
                lowerCamelCase__       :						int        =							[file for file in files if n_identifier not in file]

          lowerCamelCase__       :						Tuple        =							ignore_files or []
          ignore_files.append('''__init__.py'''      )
          lowerCamelCase__       :						List[Any]        =							[file for file in files if file not in ignore_files]

          for file in files:
             # Open all files
             print('''Testing'''		, lowerCamelCase_      )

             if only_modules:
                lowerCamelCase__       :						Tuple        =							file.split('''.'''      )[0]
                try:
                   lowerCamelCase__       :						List[str]        =							getattr(lowerCamelCase_		, lowerCamelCase_      )
                   lowerCamelCase__       :						Tuple        =							doctest.DocTestSuite(lowerCamelCase_      )
                   lowerCamelCase__       :						Tuple        =							unittest.TextTestRunner().run(lowerCamelCase_      )
                   self.assertIs(len(result.failures      )		, 0      )
                except AttributeError:
                   logger.info(F"{module_identifier} is not a module."      )
             else:
                lowerCamelCase__       :						Optional[int]        =							doctest.testfile(str('''..''' / directory / file      )		, optionflags=doctest.ELLIPSIS      )
                self.assertIs(result.failed		, 0      )







       def 						__lowerCamelCase   (				self					:     str      )       ->Dict:
          lowerCamelCase__       :						int        =							Path('''src/transformers'''      )
          lowerCamelCase__       :						Optional[int]        =							'''modeling'''
          lowerCamelCase__       :						Tuple        =							[
              '''modeling_ctrl.py''',
              '''modeling_tf_ctrl.py''',
          ]
          self.analyze_directory(lowerCamelCase_		, identifier=lowerCamelCase_		, ignore_files=lowerCamelCase_      )







       def 						__lowerCamelCase   (				self					:     Optional[int]      )       ->Optional[Any]:
          lowerCamelCase__       :						Union[str, Any]        =							Path('''src/transformers'''      )
          lowerCamelCase__       :						int        =							'''tokenization'''
          self.analyze_directory(lowerCamelCase_		, identifier=lowerCamelCase_      )







       def 						__lowerCamelCase   (				self					:     Tuple      )       ->Tuple:
          lowerCamelCase__       :						str        =							Path('''src/transformers'''      )
          lowerCamelCase__       :						Dict        =							'''configuration'''
          self.analyze_directory(lowerCamelCase_		, identifier=lowerCamelCase_      )







       def 						__lowerCamelCase   (				self					:     List[str]      )       ->Union[str, Any]:
          lowerCamelCase__       :						Dict        =							Path('''src/transformers'''      )
          lowerCamelCase__       :						Optional[int]        =							['''configuration''', '''modeling''', '''tokenization''']
          self.analyze_directory(lowerCamelCase_		, n_identifier=lowerCamelCase_      )







       def 						__lowerCamelCase   (				self					:     str      )       ->int:
          lowerCamelCase__       :						List[Any]        =							Path('''docs/source'''      )
          lowerCamelCase__       :						List[Any]        =							['''favicon.ico''']
          self.analyze_directory(lowerCamelCase_		, ignore_files=lowerCamelCase_		, only_modules=lowerCamelCase_      )










import math
import random



def 	_a						(   UpperCAmelCase      ,  UpperCAmelCase = False					)    ->    float:







   """simple docstring"""
   if deriv:
      return value * (1 - value)
   return 1 / (1 + math.exp(-value					))


# Initial Value
_A :   Tuple  			=  0.02



def 	_a						(   UpperCAmelCase      ,  UpperCAmelCase					)    ->    float:







   """simple docstring"""
   lowerCamelCase__       :						List[Any]        =							float(2 * (random.randint(1      ,  100					)) - 1					)

   for _ in range(UpperCAmelCase					):
      # Forward propagation
      lowerCamelCase__       :						Optional[int]        =							sigmoid_function(INITIAL_VALUE * weight					)
      # How much did we miss?
      lowerCamelCase__       :						int        =							(expected / 100) - layer_a
      # Error delta
      lowerCamelCase__       :						Union[str, Any]        =							layer_1_error * sigmoid_function(UpperCAmelCase      ,  UpperCAmelCase					)
      # Update weight
      weight += INITIAL_VALUE * layer_1_delta

   return layer_a * 100


if __name__ == "__main__":
       import doctest

       doctest.testmod()

       _A :   Union[str, Any]  			=  int(input('Expected value: '))
       _A :   int  			=  int(input('Number of propagations: '))
       print(forward_propagation(expected, number_propagations))



