

from ...configuration_utils import PretrainedConfig
from ...utils import is_detectrona_available, logging


lowercase_     =       logging.get_logger(__name__)

lowercase_     =       {
    'layoutlmv2-base-uncased': 'https://huggingface.co/microsoft/layoutlmv2-base-uncased/resolve/main/config.json',
    'layoutlmv2-large-uncased': 'https://huggingface.co/microsoft/layoutlmv2-large-uncased/resolve/main/config.json',
    # See all LayoutLMv2 models at https://huggingface.co/models?filter=layoutlmv2
}

# soft dependency
if is_detectrona_available():
  import detectrona





class 			__lowerCAmelCase					( SCREAMING_SNAKE_CASE							):
  _a						      =  """layoutlmv2"""




  def __init__(    self							,       lowerCAmelCase=30_522							,       lowerCAmelCase=768							,       lowerCAmelCase=12							,       lowerCAmelCase=12							,       lowerCAmelCase=3_072							,       lowerCAmelCase="gelu"							,       lowerCAmelCase=0.1							,       lowerCAmelCase=0.1							,       lowerCAmelCase=512							,       lowerCAmelCase=2							,       lowerCAmelCase=0.02							,       lowerCAmelCase=1e-12							,       lowerCAmelCase=0							,       lowerCAmelCase=1_024							,       lowerCAmelCase=128							,       lowerCAmelCase=32							,       lowerCAmelCase=True							,       lowerCAmelCase=256							,       lowerCAmelCase=64							,       lowerCAmelCase=True							,       lowerCAmelCase=[7, 7, 256]							,       lowerCAmelCase=128							,       lowerCAmelCase=128							,       lowerCAmelCase=True							,       lowerCAmelCase=True							,       lowerCAmelCase=False							,       lowerCAmelCase=None							,       **lowerCAmelCase							,       )  ->			List[Any]:
        '''simple docstring'''






        super().__init__(
            vocab_size=lowerCAmelCase							,       hidden_size=lowerCAmelCase							,       num_hidden_layers=lowerCAmelCase							,       num_attention_heads=lowerCAmelCase							,       intermediate_size=lowerCAmelCase							,       hidden_act=lowerCAmelCase							,       hidden_dropout_prob=lowerCAmelCase							,       attention_probs_dropout_prob=lowerCAmelCase							,       max_position_embeddings=lowerCAmelCase							,       type_vocab_size=lowerCAmelCase							,       initializer_range=lowerCAmelCase							,       layer_norm_eps=lowerCAmelCase							,       pad_token_id=lowerCAmelCase							,       **lowerCAmelCase							,       )
        _lowercase     	=max_ad_position_embeddings
        _lowercase     	=max_rel_pos
        _lowercase     	=rel_pos_bins
        _lowercase     	=fast_qkv
        _lowercase     	=max_rel_ad_pos
        _lowercase     	=rel_ad_pos_bins
        _lowercase     	=convert_sync_batchnorm
        _lowercase     	=image_feature_pool_shape
        _lowercase     	=coordinate_size
        _lowercase     	=shape_size
        _lowercase     	=has_relative_attention_bias
        _lowercase     	=has_spatial_attention_bias
        _lowercase     	=has_visual_segment_embedding
        _lowercase     	=(
            detectrona_config_args if detectrona_config_args is not None else self.get_default_detectrona_config()
        )




  @classmethod
  def   A__					(    self )  ->			Tuple:
        '''simple docstring'''






        return {
            "MODEL.MASK_ON": True,
            "MODEL.PIXEL_STD": [57.375, 57.120, 58.395],
            "MODEL.BACKBONE.NAME": "build_resnet_fpn_backbone",
            "MODEL.FPN.IN_FEATURES": ["res2", "res3", "res4", "res5"],
            "MODEL.ANCHOR_GENERATOR.SIZES": [[32], [64], [128], [256], [512]],
            "MODEL.RPN.IN_FEATURES": ["p2", "p3", "p4", "p5", "p6"],
            "MODEL.RPN.PRE_NMS_TOPK_TRAIN": 2_000,
            "MODEL.RPN.PRE_NMS_TOPK_TEST": 1_000,
            "MODEL.RPN.POST_NMS_TOPK_TRAIN": 1_000,
            "MODEL.POST_NMS_TOPK_TEST": 1_000,
            "MODEL.ROI_HEADS.NAME": "StandardROIHeads",
            "MODEL.ROI_HEADS.NUM_CLASSES": 5,
            "MODEL.ROI_HEADS.IN_FEATURES": ["p2", "p3", "p4", "p5"],
            "MODEL.ROI_BOX_HEAD.NAME": "FastRCNNConvFCHead",
            "MODEL.ROI_BOX_HEAD.NUM_FC": 2,
            "MODEL.ROI_BOX_HEAD.POOLER_RESOLUTION": 14,
            "MODEL.ROI_MASK_HEAD.NAME": "MaskRCNNConvUpsampleHead",
            "MODEL.ROI_MASK_HEAD.NUM_CONV": 4,
            "MODEL.ROI_MASK_HEAD.POOLER_RESOLUTION": 7,
            "MODEL.RESNETS.DEPTH": 101,
            "MODEL.RESNETS.SIZES": [[32], [64], [128], [256], [512]],
            "MODEL.RESNETS.ASPECT_RATIOS": [[0.5, 1.0, 2.0]],
            "MODEL.RESNETS.OUT_FEATURES": ["res2", "res3", "res4", "res5"],
            "MODEL.RESNETS.NUM_GROUPS": 32,
            "MODEL.RESNETS.WIDTH_PER_GROUP": 8,
            "MODEL.RESNETS.STRIDE_IN_1X1": False,
        }




  def   A__					(    self )  ->			Dict:
        '''simple docstring'''






        _lowercase     	=detectrona.config.get_cfg()
        for k, v in self.detectrona_config_args.items():
              _lowercase     	=k.split('.' )
              _lowercase     	=detectrona_config
              for attribute in attributes[:-1]:
                    _lowercase     	=getattr(lowerCAmelCase							,       lowerCAmelCase )
              setattr(lowerCAmelCase							,       attributes[-1]							,       lowerCAmelCase )

        return detectrona_config





import os
import sys

from . import rsa_key_generator as rkg

lowercase_     =       1_2_8
lowercase_     =       2_5_6
def 					a				(      A__     :       str				,       A__     :       int = DEFAULT_BLOCK_SIZE					)   ->				list[int]:





      """simple docstring"""



      _lowercase     	=message.encode('ascii'					)

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





      """simple docstring"""



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





      """simple docstring"""



      _lowercase     	=[]
      _lowercase	,	_lowercase     	=key

      for block in get_blocks_from_text(A__				,       A__					):
            encrypted_blocks.append(pow(A__				,       A__				,       A__					)					)
      return encrypted_blocks
def 					a				(      A__     :       list[int]				,       A__     :       int				,       A__     :       tuple[int, int]				,       A__     :       int = DEFAULT_BLOCK_SIZE				,       )   ->				str:





      """simple docstring"""



      _lowercase     	=[]
      _lowercase	,	_lowercase     	=key
      for block in encrypted_blocks:
            decrypted_blocks.append(pow(A__				,       A__				,       A__					)					)
      return get_text_from_blocks(A__				,       A__				,       A__					)
def 					a				(      A__     :       str					)   ->				tuple[int, int, int]:





      """simple docstring"""



      with open(A__					) as fo:
            _lowercase     	=fo.read()
      _lowercase	,	_lowercase	,	_lowercase     	=content.split(','					)
      return (int(A__					), int(A__					), int(A__					))
def 					a				(      A__     :       str				,       A__     :       str				,       A__     :       str				,       A__     :       int = DEFAULT_BLOCK_SIZE				,       )   ->				str:





      """simple docstring"""



      _lowercase	,	_lowercase	,	_lowercase     	=read_key_file(A__					)
      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				,       A__					)					)

      _lowercase     	=[str(A__					) for i in encrypt_message(A__				,       (n, e)				,       A__					)]

      _lowercase     	=','.join(A__					)
      _lowercase     	=F'''{len(A__					)}_{block_size}_{encrypted_content}'''
      with open(A__				,       'w'					) as fo:
            fo.write(A__					)
      return encrypted_content
def 					a				(      A__     :       str				,       A__     :       str					)   ->				str:





      """simple docstring"""



      _lowercase	,	_lowercase	,	_lowercase     	=read_key_file(A__					)
      with open(A__					) as fo:
            _lowercase     	=fo.read()
      _lowercase	,	_lowercase	,	_lowercase     	=content.split('_'					)
      _lowercase     	=int(A__					)
      _lowercase     	=int(A__					)

      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				,       A__					)					)

      _lowercase     	=[]
      for block in encrypted_message.split(','					):
            encrypted_blocks.append(int(A__					)					)

      return decrypt_message(A__				,       A__				,       (n, d)				,       A__					)
def 					a				(      )   ->				None:





      """simple docstring"""



      _lowercase     	='encrypted_file.txt'
      _lowercase     	=input(r'Encrypt\Decrypt [e\d]: '					)

      if response.lower().startswith('e'					):
            _lowercase     	='encrypt'
      elif response.lower().startswith('d'					):
            _lowercase     	='decrypt'

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

            _lowercase     	=input('\nEnter message: '					)
            _lowercase     	='rsa_pubkey.txt'
            print(F'''Encrypting and writing to {filename}...'''					)
            _lowercase     	=encrypt_and_write_to_file(A__				,       A__				,       A__					)

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

      elif mode == "decrypt":
            _lowercase     	='rsa_privkey.txt'
            print(F'''Reading from {filename} and decrypting...'''					)
            _lowercase     	=read_from_file_and_decrypt(A__				,       A__					)
            print('writing decryption to rsa_decryption.txt...'					)
            with open('rsa_decryption.txt'				,       'w'					) as dec:
                  dec.write(A__					)

            print('\nDecryption:'					)
            print(A__					)


if __name__ == "__main__":
  main()


