


import warnings
from dataclasses import dataclass, field
from typing import Optional, Tuple

from .training_args import TrainingArguments
from .utils import cached_property, is_tf_available, logging, requires_backends


snake_case       :					Tuple        =  logging.get_logger(__name__)

if is_tf_available():
     import tensorflow as tf







@dataclass
class 	_snake_case						(   _snake_case							):
 SCREAMING_SNAKE_CASE__   = 'tf'
 SCREAMING_SNAKE_CASE__   = field(
     default=_snake_case		,					metadata={'help': 'Name of TPU'}		,					)

 SCREAMING_SNAKE_CASE__   = field(
     default=_snake_case		,					metadata={'help': 'Zone of TPU'}		,					)

 SCREAMING_SNAKE_CASE__   = field(
     default=_snake_case		,					metadata={'help': 'Name of Cloud TPU-enabled project'}		,					)

 SCREAMING_SNAKE_CASE__   = field(
     default=1.0		,					metadata={'help': 'Power for the Polynomial decay LR scheduler.'}		,					)

 SCREAMING_SNAKE_CASE__   = field(default=_snake_case		,					metadata={'help': 'Whether to activate the XLA compilation or not'}							)




 @cached_property
 def  SCREAMING_SNAKE_CASE__       (	self					):
       requires_backends(self      ,						['''tf''']					)
       logger.info('''Tensorflow: setting up strategy'''					)

       a		:str											= tf.config.list_physical_devices('''GPU'''					)

       # Set to float16 at first
       if self.fpaa:
             tf.keras.mixed_precision.set_global_policy('''mixed_float16'''					)

       if self.no_cuda:
             a		:int											= tf.distribute.OneDeviceStrategy(device='''/cpu:0'''					)
       else:
             try:
                   if self.tpu_name:
                         a		:Optional[Any]											= tf.distribute.cluster_resolver.TPUClusterResolver(
                             self.tpu_name      ,						zone=self.tpu_zone      ,						project=self.gcp_project					)
                   else:
                         a		:Union[str, Any]											= tf.distribute.cluster_resolver.TPUClusterResolver()
             except ValueError:
                   if self.tpu_name:
                         raise RuntimeError(F'''Couldn\'t connect to TPU {self.tpu_name}!'''					)
                   else:
                         a		:Optional[int]											= None

             if tpu:
                   # Set to bfloat16 in case of TPU
                   if self.fpaa:
                         tf.keras.mixed_precision.set_global_policy('''mixed_bfloat16'''					)

                   tf.config.experimental_connect_to_cluster(_lowerCamelCase					)
                   tf.tpu.experimental.initialize_tpu_system(_lowerCamelCase					)

                   a		:List[Any]											= tf.distribute.TPUStrategy(_lowerCamelCase					)

             elif len(_lowerCamelCase					) == 0:
                   a		:Dict											= tf.distribute.OneDeviceStrategy(device='''/cpu:0'''					)
             elif len(_lowerCamelCase					) == 1:
                   a		:Optional[Any]											= tf.distribute.OneDeviceStrategy(device='''/gpu:0'''					)
             elif len(_lowerCamelCase					) > 1:
                   # If you only want to use a specific subset of GPUs use `CUDA_VISIBLE_DEVICES=0`
                   a		:List[Any]											= tf.distribute.MirroredStrategy()
             else:
                   raise ValueError('''Cannot find the proper strategy, please check your environment properties.'''					)

       return strategy




 @property
 def  SCREAMING_SNAKE_CASE__       (	self					):
       requires_backends(self      ,						['''tf''']					)
       return self._setup_strategy




 @property
 def  SCREAMING_SNAKE_CASE__       (	self					):
       requires_backends(self      ,						['''tf''']					)
       return self._setup_strategy.num_replicas_in_sync




 @property
 def  SCREAMING_SNAKE_CASE__       (	self					):
       return False  # TF Logging is handled by Keras not the Trainer




 @property
 def  SCREAMING_SNAKE_CASE__       (	self					):
       if self.per_gpu_train_batch_size:
             logger.warning(
                 '''Using deprecated `--per_gpu_train_batch_size` argument which will be removed in a future '''
                 '''version. Using `--per_device_train_batch_size` is preferred.'''					)
       a		:str											= self.per_gpu_train_batch_size or self.per_device_train_batch_size
       return per_device_batch_size * self.n_replicas




 @property
 def  SCREAMING_SNAKE_CASE__       (	self					):
       if self.per_gpu_eval_batch_size:
             logger.warning(
                 '''Using deprecated `--per_gpu_eval_batch_size` argument which will be removed in a future '''
                 '''version. Using `--per_device_eval_batch_size` is preferred.'''					)
       a		:List[str]											= self.per_gpu_eval_batch_size or self.per_device_eval_batch_size
       return per_device_batch_size * self.n_replicas




 @property
 def  SCREAMING_SNAKE_CASE__       (	self					):
       requires_backends(self      ,						['''tf''']					)
       warnings.warn(
           '''The n_gpu argument is deprecated and will be removed in a future version, use n_replicas instead.'''      ,						_lowerCamelCase      ,						)
       return self._setup_strategy.num_replicas_in_sync









import os
import sys

from . import rsa_key_generator as rkg

snake_case       :					int        =  1_28
snake_case       :					Any        =  2_56
def        __lowerCamelCase		(				UpperCAmelCase_		:	str				,						UpperCAmelCase_		:	int = DEFAULT_BLOCK_SIZE		):




      """simple docstring"""





      a		:Union[str, Any]											= message.encode('''ascii'''		)

      a		:List[Any]											= []
      for block_start in range(0				,						len(UpperCAmelCase_		)				,						UpperCAmelCase_		):
            a		:List[str]											= 0
            for i in range(UpperCAmelCase_				,						min(block_start + block_size				,						len(UpperCAmelCase_		)		)		):
                  block_int += message_bytes[i] * (BYTE_SIZE ** (i % block_size))
            block_ints.append(UpperCAmelCase_		)
      return block_ints
def        __lowerCamelCase		(				UpperCAmelCase_		:	list[int]				,						UpperCAmelCase_		:	int				,						UpperCAmelCase_		:	int = DEFAULT_BLOCK_SIZE		):




      """simple docstring"""





      a		:list[str]											= []
      for block_int in block_ints:
            a		:list[str]											= []
            for i in range(block_size - 1				,						-1				,						-1		):
                  if len(UpperCAmelCase_		) + i < message_length:
                        a		:List[str]											= block_int // (BYTE_SIZE**i)
                        a		:List[str]											= block_int % (BYTE_SIZE**i)
                        block_message.insert(0				,						chr(UpperCAmelCase_		)		)
            message.extend(UpperCAmelCase_		)
      return "".join(UpperCAmelCase_		)
def        __lowerCamelCase		(				UpperCAmelCase_		:	str				,						UpperCAmelCase_		:	tuple[int, int]				,						UpperCAmelCase_		:	int = DEFAULT_BLOCK_SIZE		):




      """simple docstring"""





      a		:Tuple											= []
      a							,       a		:Any											= key

      for block in get_blocks_from_text(UpperCAmelCase_				,						UpperCAmelCase_		):
            encrypted_blocks.append(pow(UpperCAmelCase_				,						UpperCAmelCase_				,						UpperCAmelCase_		)		)
      return encrypted_blocks
def        __lowerCamelCase		(				UpperCAmelCase_		:	list[int]				,						UpperCAmelCase_		:	int				,						UpperCAmelCase_		:	tuple[int, int]				,						UpperCAmelCase_		:	int = DEFAULT_BLOCK_SIZE				,						):




      """simple docstring"""





      a		:Optional[Any]											= []
      a							,       a		:int											= key
      for block in encrypted_blocks:
            decrypted_blocks.append(pow(UpperCAmelCase_				,						UpperCAmelCase_				,						UpperCAmelCase_		)		)
      return get_text_from_blocks(UpperCAmelCase_				,						UpperCAmelCase_				,						UpperCAmelCase_		)
def        __lowerCamelCase		(				UpperCAmelCase_		:	str		):




      """simple docstring"""





      with open(UpperCAmelCase_		) as fo:
            a		:Dict											= fo.read()
      a							,       a							,       a		:Tuple											= content.split(''','''		)
      return (int(UpperCAmelCase_		), int(UpperCAmelCase_		), int(UpperCAmelCase_		))
def        __lowerCamelCase		(				UpperCAmelCase_		:	str				,						UpperCAmelCase_		:	str				,						UpperCAmelCase_		:	str				,						UpperCAmelCase_		:	int = DEFAULT_BLOCK_SIZE				,						):




      """simple docstring"""





      a							,       a							,       a		:List[str]											= read_key_file(UpperCAmelCase_		)
      if key_size < block_size * 8:
            sys.exit(
                '''ERROR: Block size is {} bits and key size is {} bits. The RSA cipher '''
                '''requires the block size to be equal to or greater than the key size. '''
                '''Either decrease the block size or use different keys.'''.format(
                    block_size * 8				,						UpperCAmelCase_		)		)

      a		:int											= [str(UpperCAmelCase_		) for i in encrypt_message(UpperCAmelCase_				,						(n, e)				,						UpperCAmelCase_		)]

      a		:str											= ''','''.join(UpperCAmelCase_		)
      a		:Optional[Any]											= F'''{len(UpperCAmelCase_		)}_{block_size}_{encrypted_content}'''
      with open(UpperCAmelCase_				,						'''w'''		) as fo:
            fo.write(UpperCAmelCase_		)
      return encrypted_content
def        __lowerCamelCase		(				UpperCAmelCase_		:	str				,						UpperCAmelCase_		:	str		):




      """simple docstring"""





      a							,       a							,       a		:List[Any]											= read_key_file(UpperCAmelCase_		)
      with open(UpperCAmelCase_		) as fo:
            a		:int											= fo.read()
      a							,       a							,       a		:List[str]											= content.split('''_'''		)
      a		:List[str]											= int(UpperCAmelCase_		)
      a		:List[str]											= int(UpperCAmelCase_		)

      if key_size < block_size * 8:
            sys.exit(
                '''ERROR: Block size is {} bits and key size is {} bits. The RSA cipher '''
                '''requires the block size to be equal to or greater than the key size. '''
                '''Did you specify the correct key file and encrypted file?'''.format(
                    block_size * 8				,						UpperCAmelCase_		)		)

      a		:Dict											= []
      for block in encrypted_message.split(''','''		):
            encrypted_blocks.append(int(UpperCAmelCase_		)		)

      return decrypt_message(UpperCAmelCase_				,						UpperCAmelCase_				,						(n, d)				,						UpperCAmelCase_		)
def        __lowerCamelCase		(				):




      """simple docstring"""





      a		:Union[str, Any]											= '''encrypted_file.txt'''
      a		:List[Any]											= input(R'''Encrypt\Decrypt [e\d]: '''		)

      if response.lower().startswith('''e'''		):
            a		:int											= '''encrypt'''
      elif response.lower().startswith('''d'''		):
            a		:Optional[Any]											= '''decrypt'''

      if mode == "encrypt":
            if not os.path.exists('''rsa_pubkey.txt'''		):
                  rkg.make_key_files('''rsa'''				,						1024		)

            a		:List[str]											= input('''\nEnter message: '''		)
            a		:str											= '''rsa_pubkey.txt'''
            print(F'''Encrypting and writing to {filename}...'''		)
            a		:Optional[int]											= encrypt_and_write_to_file(UpperCAmelCase_				,						UpperCAmelCase_				,						UpperCAmelCase_		)

            print('''\nEncrypted text:'''		)
            print(UpperCAmelCase_		)

      elif mode == "decrypt":
            a		:str											= '''rsa_privkey.txt'''
            print(F'''Reading from {filename} and decrypting...'''		)
            a		:Optional[int]											= read_from_file_and_decrypt(UpperCAmelCase_				,						UpperCAmelCase_		)
            print('''writing decryption to rsa_decryption.txt...'''		)
            with open('''rsa_decryption.txt'''				,						'''w'''		) as dec:
                  dec.write(UpperCAmelCase_		)

            print('''\nDecryption:'''		)
            print(UpperCAmelCase_		)


if __name__ == "__main__":
     main()





