


"""simple docstring"""



import unittest

from transformers import is_tf_available
from transformers.testing_utils import require_tf


if is_tf_available():
  import tensorflow as tf
  from tensorflow.python.eager import context
  from tensorflow.python.framework import ops

  from transformers import GradientAccumulator, create_optimizer







@require_tf
class _lowerCAmelCase							( unittest.TestCase      ):







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

       '''simple docstring'''




       self.assertEqual(len(UpperCamelCase__		)		,      len(UpperCamelCase__		)		)
       for a, b in zip(UpperCamelCase__		,      UpperCamelCase__		):
           self.assertAlmostEqual(UpperCamelCase__		,      UpperCamelCase__		,      delta=UpperCamelCase__		)







   def 					lowerCamelCase						(      self		)      ->						str:

       '''simple docstring'''




       snake_case       : Optional[int]    =       GradientAccumulator()
       accumulator([tf.constant([1.0, 2.0]		)]		)
       accumulator([tf.constant([-2.0, 1.0]		)]		)
       accumulator([tf.constant([-1.0, 2.0]		)]		)
       with self.assertRaises(UpperCamelCase__		):
           accumulator([tf.constant([1.0, 1.0]		), tf.constant([2.0, 2.0]		)]		)
       self.assertEqual(accumulator.step		,      3		)
       self.assertEqual(len(accumulator.gradients		)		,      1		)
       self.assertListAlmostEqual(accumulator.gradients[0].numpy().tolist()		,      [-2.0, 5.0]		,      tol=1e-2		)
       accumulator.reset()
       self.assertEqual(accumulator.step		,      0		)
       self.assertListAlmostEqual(accumulator.gradients[0].numpy().tolist()		,      [0.0, 0.0]		,      tol=1e-2		)







   def 					lowerCamelCase						(      self		)      ->						List[Any]:

       '''simple docstring'''




       snake_case       : Union[str, Any]    =       None
       ops.enable_eager_execution_internal()
       snake_case       : Union[str, Any]    =       tf.config.list_physical_devices("CPU"		)
       if len(UpperCamelCase__		) == 1:
           tf.config.set_logical_device_configuration(
               physical_devices[0]		,      [tf.config.LogicalDeviceConfiguration(), tf.config.LogicalDeviceConfiguration()]		)
       snake_case       : Union[str, Any]    =       tf.config.list_logical_devices(device_type="CPU"		)
       snake_case       : Any    =       tf.distribute.MirroredStrategy(devices=devices[:2]		)

       with strategy.scope():
           snake_case       : Dict    =       GradientAccumulator()
           snake_case       : Optional[int]    =       tf.Variable([4.0, 3.0]		)
           snake_case   ,snake_case       : Any    =       create_optimizer(5e-5		,      10		,      5		)
           snake_case       : Union[str, Any]    =       tf.Variable([0.0, 0.0]		,      trainable=UpperCamelCase__		)

       def accumulate_on_replica(UpperCamelCase__		):
           accumulator([gradient]		)

       def apply_on_replica():
           optimizer.apply_gradients(list(zip(accumulator.gradients		,      [variable]		)		)		)

       @tf.function
       def accumulate(UpperCamelCase__		,      UpperCamelCase__		):
           with strategy.scope():
               snake_case       : Dict    =       strategy.experimental_local_results(UpperCamelCase__		)
               local_variables[0].assign(UpperCamelCase__		)
               local_variables[1].assign(UpperCamelCase__		)
               strategy.run(UpperCamelCase__		,      args=(gradient_placeholder,)		)

       @tf.function
       def apply_grad():
           with strategy.scope():
               strategy.run(UpperCamelCase__		)

       def _check_local_values(UpperCamelCase__		,      UpperCamelCase__		):
           snake_case       : int    =       strategy.experimental_local_results(accumulator._gradients[0]		)
           self.assertListAlmostEqual(values[0].value()		,      UpperCamelCase__		,      tol=1e-2		)
           self.assertListAlmostEqual(values[1].value()		,      UpperCamelCase__		,      tol=1e-2		)

       accumulate([1.0, 2.0]		,      [-1.0, 1.0]		)
       accumulate([3.0, -1.0]		,      [-1.0, -1.0]		)
       accumulate([-2.0, 2.0]		,      [3.0, -2.0]		)
       self.assertEqual(accumulator.step		,      3		)
       _check_local_values([2.0, 3.0]		,      [1.0, -2.0]		)
       apply_grad()
       self.assertListAlmostEqual(variable.value()		,      [4.0, 3.0]		,      tol=1e-2		)
       accumulator.reset()
       self.assertEqual(accumulator.step		,      0		)
       _check_local_values([0.0, 0.0]		,      [0.0, 0.0]		)









"""simple docstring"""



__snake_case       =       """ABCDEFGHIJKLMNOPQRSTUVWXYZ"""







def     __lowerCAmelCase		(		)      ->		None:


    """simple docstring"""





    snake_case       : str    =       input("Enter message: "					)
    snake_case       : Tuple    =       input("Enter key [alphanumeric]: "					)
    snake_case       : Union[str, Any]    =       input("Encrypt/Decrypt [e/d]: "					)

    if mode.lower().startswith("e"					):
        snake_case       : str    =       "encrypt"
        snake_case       : Optional[int]    =       encrypt_message(lowercase		,				lowercase					)
    elif mode.lower().startswith("d"					):
        snake_case       : List[Any]    =       "decrypt"
        snake_case       : Tuple    =       decrypt_message(lowercase		,				lowercase					)

    print(F'\n{mode.title()}ed message:'					)
    print(lowercase					)







def     __lowerCAmelCase		(		lowercase    :    str		,				lowercase    :    str					)      ->		str:


    """simple docstring"""





    return translate_message(lowercase		,				lowercase		,				"encrypt"					)







def     __lowerCAmelCase		(		lowercase    :    str		,				lowercase    :    str					)      ->		str:


    """simple docstring"""





    return translate_message(lowercase		,				lowercase		,				"decrypt"					)







def     __lowerCAmelCase		(		lowercase    :    str		,				lowercase    :    str		,				lowercase    :    str					)      ->		str:


    """simple docstring"""





    snake_case       : List[Any]    =       []
    snake_case       : List[str]    =       0
    snake_case       : List[Any]    =       key.upper()

    for symbol in message:
        snake_case       : Optional[int]    =       LETTERS.find(symbol.upper()					)
        if num != -1:
            if mode == "encrypt":
                num += LETTERS.find(key[key_index]					)
            elif mode == "decrypt":
                num -= LETTERS.find(key[key_index]					)

            num %= len(lowercase					)

            if symbol.isupper():
                translated.append(LETTERS[num]					)
            elif symbol.islower():
                translated.append(LETTERS[num].lower()					)

            key_index += 1
            if key_index == len(lowercase					):
                snake_case       : List[str]    =       0
        else:
            translated.append(lowercase					)
    return "".join(lowercase					)


if __name__ == "__main__":
  main()





