'''simple docstring'''

import getopt
import json
import os

# import numpy as np
import sys
from collections import OrderedDict

import datasets
import numpy as np
import torch
from modeling_frcnn import GeneralizedRCNN
from processing_image import Preprocess

from utils import Config
__snake_case       :   Union[str, Any]  		=    False
__snake_case       :   int  		=    Config.from_pretrained('''unc-nlp/frcnn-vg-finetuned''')
__snake_case       :   Optional[Any]  		=    datasets.Features(
    OrderedDict(
        {
            '''attr_ids''': datasets.Sequence(length=CONFIG.MAX_DETECTIONS, feature=datasets.Value('''float32''')),
            '''attr_probs''': datasets.Sequence(length=CONFIG.MAX_DETECTIONS, feature=datasets.Value('''float32''')),
            '''boxes''': datasets.ArrayaD((CONFIG.MAX_DETECTIONS, 4), dtype='''float32'''),
            '''img_id''': datasets.Value('''int32'''),
            '''obj_ids''': datasets.Sequence(length=CONFIG.MAX_DETECTIONS, feature=datasets.Value('''float32''')),
            '''obj_probs''': datasets.Sequence(length=CONFIG.MAX_DETECTIONS, feature=datasets.Value('''float32''')),
            '''roi_features''': datasets.ArrayaD((CONFIG.MAX_DETECTIONS, 20_48), dtype='''float32'''),
            '''sizes''': datasets.Sequence(length=2, feature=datasets.Value('''float32''')),
            '''preds_per_image''': datasets.Value(dtype='''int32'''),
        }
    )
)
class 							lowercase_    :







    def __init__(	self       ,     UpperCamelCase__=sys.argv[1:]				)				->       Any:





     """simple docstring"""

     UpperCAmelCase_				       =					None
     UpperCAmelCase_				       =					None
     UpperCAmelCase_				       =					None
     UpperCAmelCase_				       =					1
     UpperCAmelCase_				       =					getopt.getopt(_snake_case       ,     "i:o:b:s"       ,     ["inputdir=", "outfile=", "batch_size=", "subset_list="]				)
     for opt, arg in opts:
      if opt in ("-i", "--inputdir"):
       UpperCAmelCase_				       =					arg
      elif opt in ("-o", "--outfile"):
       UpperCAmelCase_				       =					arg
      elif opt in ("-b", "--batch_size"):
       UpperCAmelCase_				       =					int(_snake_case				)
      elif opt in ("-s", "--subset_list"):
       UpperCAmelCase_				       =					arg

     assert inputdir is not None  # and os.path.isdir(inputdir), f"{inputdir}"
     assert outputfile is not None and not os.path.isfile(_snake_case				), F"""{outputfile}"""
     if subset_list is not None:
      with open(os.path.realpath(_snake_case				)				) as f:
       UpperCAmelCase_				       =					{self._vqa_file_split()[0] for x in tryload(_snake_case				)}
     else:
      UpperCAmelCase_				       =					None

     UpperCAmelCase_				       =					CONFIG
     if torch.cuda.is_available():
      UpperCAmelCase_				       =					'''cuda'''
     UpperCAmelCase_				       =					os.path.realpath(_snake_case				)
     UpperCAmelCase_				       =					os.path.realpath(_snake_case				)
     UpperCAmelCase_				       =					Preprocess(self.config				)
     UpperCAmelCase_				       =					GeneralizedRCNN.from_pretrained("unc-nlp/frcnn-vg-finetuned"       ,     config=self.config				)
     UpperCAmelCase_				       =					batch_size if batch_size != 0 else 1
     UpperCAmelCase_				       =					DEFAULT_SCHEMA







    def   lowerCamelCase_    (	self       ,     UpperCamelCase__				)				->       Optional[Any]:





     """simple docstring"""

     UpperCAmelCase_				       =					int(file.split("."				)[0].split("_"				)[-1]				)
     UpperCAmelCase_				       =					os.path.join(self.inputdir       ,     _snake_case				)
     return (img_id, filepath)







    @property
    def   lowerCamelCase_    (	self				)				->       List[str]:





     """simple docstring"""

     UpperCAmelCase_				       =					[]
     for i, file in enumerate(os.listdir(self.inputdir				)				):
      if self.subset_list is not None and i not in self.subset_list:
       continue
      batch.append(self._vqa_file_split(_snake_case				)				)
      if len(_snake_case				) == self.batch:
       UpperCAmelCase_				       =					batch
       UpperCAmelCase_				       =					[]
       yield list(map(_snake_case       ,     zip(*_snake_case				)				)				)

     for i in range(1				):
      yield list(map(_snake_case       ,     zip(*_snake_case				)				)				)







    def __call__(	self				)				->       str:





     """simple docstring"""

     if not TEST:
      UpperCAmelCase_				       =					datasets.ArrowWriter(features=self.schema       ,     path=self.outputfile				)
     # do file generator
     for i, (img_ids, filepaths) in enumerate(self.file_generator				):
      UpperCAmelCase_				       =					self.preprocess(_snake_case				)
      UpperCAmelCase_				       =					self.model(
          _snake_case       ,     _snake_case       ,     scales_yx=_snake_case       ,     padding="max_detections"       ,     max_detections=self.config.MAX_DETECTIONS       ,     pad_value=0       ,     return_tensors="np"       ,     location="cpu"       ,     )
      UpperCAmelCase_				       =					output_dict.pop("normalized_boxes"				)
      if not TEST:
       UpperCAmelCase_				       =					np.array(_snake_case				)
       UpperCAmelCase_				       =					self.schema.encode_batch(_snake_case				)
       writer.write_batch(_snake_case				)
      if TEST:
       break
      # finalizer the writer
     if not TEST:
      UpperCAmelCase_				       =					writer.finalize()
      print(F"""Success! You wrote {num_examples} entry(s) and {num_bytes >> 2_0} mb"""				)



def lowerCamelCase__						(       A_       ):
 try:
  UpperCAmelCase_				       =					json.load(A_       )
  try:
   UpperCAmelCase_				       =					list(data.keys()       )
  except Exception:
   UpperCAmelCase_				       =					[d['''img_id'''] for d in data]
 except Exception:
  try:
   UpperCAmelCase_				       =					eval(stream.read()       )
  except Exception:
   UpperCAmelCase_				       =					stream.read().split("\n"       )
 return data


if __name__ == "__main__":
      __snake_case       :   Any  		=    Extract(sys.argv[1:])
      extract()
      if not TEST:
            __snake_case       :   Dict  		=    datasets.Dataset.from_file(extract.outputfile)
            # wala!
            # print(np.array(dataset[0:2]["roi_features"]).shape)

'''simple docstring'''

import os
import sys

from . import rsa_key_generator as rkg

__snake_case       :   Dict  		=    1_28
__snake_case       :   Union[str, Any]  		=    2_56



def lowerCamelCase__						(       A_       ,			A_ = DEFAULT_BLOCK_SIZE       ):
 UpperCAmelCase_				       =					message.encode("ascii"       )

 UpperCAmelCase_				       =					[]
 for block_start in range(0       ,			len(A_       )       ,			A_       ):
  UpperCAmelCase_				       =					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 lowerCamelCase__						(       A_       ,			A_       ,			A_ = DEFAULT_BLOCK_SIZE       ):
 UpperCAmelCase_				       =					[]
 for block_int in block_ints:
  UpperCAmelCase_				       =					[]
  for i in range(block_size - 1       ,			-1       ,			-1       ):
   if len(A_       ) + i < message_length:
    UpperCAmelCase_				       =					block_int // (BYTE_SIZE**i)
    UpperCAmelCase_				       =					block_int % (BYTE_SIZE**i)
    block_message.insert(0       ,			chr(A_       )       )
  message.extend(A_       )
 return "".join(A_       )



def lowerCamelCase__						(       A_       ,			A_       ,			A_ = DEFAULT_BLOCK_SIZE       ):
 UpperCAmelCase_				       =					[]
 UpperCAmelCase_       ,       UpperCAmelCase_				       =					key

 for block in get_blocks_from_text(A_       ,			A_       ):
  encrypted_blocks.append(pow(A_       ,			A_       ,			A_       )       )
 return encrypted_blocks



def lowerCamelCase__						(       A_       ,			A_       ,			A_       ,			A_ = DEFAULT_BLOCK_SIZE       ,			):
 UpperCAmelCase_				       =					[]
 UpperCAmelCase_       ,       UpperCAmelCase_				       =					key
 for block in encrypted_blocks:
  decrypted_blocks.append(pow(A_       ,			A_       ,			A_       )       )
 return get_text_from_blocks(A_       ,			A_       ,			A_       )



def lowerCamelCase__						(       A_       ):
 with open(A_       ) as fo:
  UpperCAmelCase_				       =					fo.read()
 UpperCAmelCase_       ,       UpperCAmelCase_       ,       UpperCAmelCase_				       =					content.split(","       )
 return (int(A_       ), int(A_       ), int(A_       ))



def lowerCamelCase__						(       A_       ,			A_       ,			A_       ,			A_ = DEFAULT_BLOCK_SIZE       ,			):
 UpperCAmelCase_       ,       UpperCAmelCase_       ,       UpperCAmelCase_				       =					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_       )       )

 UpperCAmelCase_				       =					[str(A_       ) for i in encrypt_message(A_       ,			(n, e)       ,			A_       )]

 UpperCAmelCase_				       =					",".join(A_       )
 UpperCAmelCase_				       =					F"""{len(A_       )}_{block_size}_{encrypted_content}"""
 with open(A_       ,			"w"       ) as fo:
  fo.write(A_       )
 return encrypted_content



def lowerCamelCase__						(       A_       ,			A_       ):
 UpperCAmelCase_       ,       UpperCAmelCase_       ,       UpperCAmelCase_				       =					read_key_file(A_       )
 with open(A_       ) as fo:
  UpperCAmelCase_				       =					fo.read()
 UpperCAmelCase_       ,       UpperCAmelCase_       ,       UpperCAmelCase_				       =					content.split("_"       )
 UpperCAmelCase_				       =					int(A_       )
 UpperCAmelCase_				       =					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_       )       )

 UpperCAmelCase_				       =					[]
 for block in encrypted_message.split(","       ):
  encrypted_blocks.append(int(A_       )       )

 return decrypt_message(A_       ,			A_       ,			(n, d)       ,			A_       )



def lowerCamelCase__						(       ):
 UpperCAmelCase_				       =					"encrypted_file.txt"
 UpperCAmelCase_				       =					input(R"Encrypt\Decrypt [e\d]: "       )

 if response.lower().startswith("e"       ):
  UpperCAmelCase_				       =					"encrypt"
 elif response.lower().startswith("d"       ):
  UpperCAmelCase_				       =					"decrypt"

 if mode == "encrypt":
  if not os.path.exists("rsa_pubkey.txt"       ):
   rkg.make_key_files("rsa"       ,			1_024       )

  UpperCAmelCase_				       =					input("\nEnter message: "       )
  UpperCAmelCase_				       =					"rsa_pubkey.txt"
  print(F"""Encrypting and writing to {filename}..."""       )
  UpperCAmelCase_				       =					encrypt_and_write_to_file(A_       ,			A_       ,			A_       )

  print("\nEncrypted text:"       )
  print(A_       )

 elif mode == "decrypt":
  UpperCAmelCase_				       =					"rsa_privkey.txt"
  print(F"""Reading from {filename} and decrypting..."""       )
  UpperCAmelCase_				       =					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()
