





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
UpperCAmelCase__    :      Union[str, Any]       					=False
UpperCAmelCase__    :      str       					=Config.from_pretrained('''unc-nlp/frcnn-vg-finetuned''')
UpperCAmelCase__    :      Dict       					=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    __A  :


				def __init__(		self ,			UpperCAmelCase_=sys.argv[1:]				):
								lowerCamelCase									=None
								lowerCamelCase									=None
								lowerCamelCase									=None
								lowerCamelCase									=1
								lowerCamelCase			,	lowerCamelCase									=getopt.getopt(_A ,			"""i:o:b:s""" ,			["""inputdir=""", """outfile=""", """batch_size=""", """subset_list="""]				)
								for opt, arg in opts:
												if opt in ("-i", "--inputdir"):
																lowerCamelCase									=arg
												elif opt in ("-o", "--outfile"):
																lowerCamelCase									=arg
												elif opt in ("-b", "--batch_size"):
																lowerCamelCase									=int(_A				)
												elif opt in ("-s", "--subset_list"):
																lowerCamelCase									=arg

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

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


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


				@property
				def _snake_case							(		self				):
								lowerCamelCase									=[]
								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(_A				)				)
												if len(_A				) == self.batch:
																lowerCamelCase									=batch
																lowerCamelCase									=[]
																yield list(map(_A ,			zip(*_A				)				)				)

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


				def __call__(		self				):



								if not TEST:
												lowerCamelCase									=datasets.ArrowWriter(features=self.schema ,			path=self.outputfile				)
								# do file generator
								for i, (img_ids, filepaths) in enumerate(self.file_generator				):
												lowerCamelCase			,	lowerCamelCase			,	lowerCamelCase									=self.preprocess(_A				)
												lowerCamelCase									=self.model(
												    _A ,			_A ,			scales_yx=_A ,			padding="""max_detections""" ,			max_detections=self.config.MAX_DETECTIONS ,			pad_value=0 ,			return_tensors="""np""" ,			location="""cpu""" ,			)
												lowerCamelCase									=output_dict.pop("""normalized_boxes"""				)
												if not TEST:
																lowerCamelCase									=np.array(_A				)
																lowerCamelCase									=self.schema.encode_batch(_A				)
																writer.write_batch(_A				)
												if TEST:
																break
												# finalizer the writer
								if not TEST:
												lowerCamelCase			,	lowerCamelCase									=writer.finalize()
												print(f"""Success! You wrote {num_examples} entry(s) and {num_bytes >> 20} mb"""				)





def   _lowercase       (    _UpperCAmelCase					)    ->	List[str]:
				try:
								lowerCamelCase									=json.load(_UpperCAmelCase					)
								try:
												lowerCamelCase									=list(data.keys()					)
								except Exception:
												lowerCamelCase									=[d["""img_id"""] for d in data]
				except Exception:
								try:
												lowerCamelCase									=eval(stream.read()					)
								except Exception:
												lowerCamelCase									=stream.read().split("""\n"""					)
				return data


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







'''simple docstring'''





class 			UpperCamelCase__	:






 def __init__(      self	:Optional[Any]						,					_A	:Tuple      )					->      Tuple:







       '''simple docstring'''



       __A													=      data
       __A													=      None
       __A													=      None






 def __str__(      self	:List[str]      )					->      Optional[int]:







       '''simple docstring'''



       return F'{self.data}'


class 			UpperCamelCase__	:






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







       '''simple docstring'''



       __A													=      None
       __A													=      None






 def __iter__(      self	:Optional[int]      )					->      List[Any]:







       '''simple docstring'''



       __A													=      self.head
       while node:
             yield node.data
             __A													=      node.next






 def __str__(      self	:Dict      )					->      Union[str, Any]:







       '''simple docstring'''



       return "->".join([str(_A      ) for item in self]      )






 def __len__(      self	:int      )					->      List[str]:







       '''simple docstring'''



       return sum(1 for _ in self      )






 def 						lowercase_    (      self	:List[str]						,					_A	:Any      )					->      str:







       '''simple docstring'''



       self.insert_at_nth(0						,					_A      )






 def 						lowercase_    (      self	:Dict						,					_A	:Optional[Any]      )					->      Tuple:







       '''simple docstring'''



       self.insert_at_nth(len(self      )						,					_A      )






 def 						lowercase_    (      self	:Optional[int]						,					_A	:int						,					_A	:Optional[int]      )					->      int:







       '''simple docstring'''



       __A													=      len(self      )

       if not 0 <= index <= length:
             raise IndexError('list index out of range'      )
       __A													=      Node(_A      )
       if self.head is None:
             __A													=      __A													=      new_node
       elif index == 0:
             __A													=      new_node
             __A													=      self.head
             __A													=      new_node
       elif index == length:
             __A													=      new_node
             __A													=      self.tail
             __A													=      new_node
       else:
             __A													=      self.head
             for _ in range(0						,					_A      ):
                   __A													=      temp.next
             __A													=      new_node
             __A													=      temp.previous
             __A													=      temp
             __A													=      new_node






 def 						lowercase_    (      self	:Optional[int]      )					->      List[str]:







       '''simple docstring'''



       return self.delete_at_nth(0      )






 def 						lowercase_    (      self	:Any      )					->      Tuple:







       '''simple docstring'''



       return self.delete_at_nth(len(self      ) - 1      )






 def 						lowercase_    (      self	:Dict						,					_A	:int      )					->      List[str]:







       '''simple docstring'''



       __A													=      len(self      )

       if not 0 <= index <= length - 1:
             raise IndexError('list index out of range'      )
       __A													=      self.head  # default first node
       if length == 1:
             __A													=      __A													=      None
       elif index == 0:
             __A													=      self.head.next
             __A													=      None
       elif index == length - 1:
             __A													=      self.tail
             __A													=      self.tail.previous
             __A													=      None
       else:
             __A													=      self.head
             for _ in range(0						,					_A      ):
                   __A													=      temp.next
             __A													=      temp
             __A													=      temp.previous
             __A													=      temp.next
       return delete_node.data






 def 						lowercase_    (      self	:List[str]						,					_A	:Dict      )					->      str:







       '''simple docstring'''



       __A													=      self.head

       while current.data != data:  # Find the position to delete
             if current.next:
                   __A													=      current.next
             else:  # We have reached the end an no value matches
                   raise ValueError('No data matching given value'      )

       if current == self.head:
             self.delete_head()

       elif current == self.tail:
             self.delete_tail()

       else:  # Before: 1 <--> 2(current) <--> 3
             __A													=      current.next  # 1 --> 3
             __A													=      current.previous  # 1 <--> 3
       return data






 def 						lowercase_    (      self	:List[str]      )					->      Tuple:







       '''simple docstring'''



       return len(self      ) == 0





def 							snake_case				(		)->      None:







      """simple docstring"""
      __A													=      DoublyLinkedList()
      assert linked_list.is_empty() is True
      assert str(UpperCAmelCase						) == ""

      try:
            linked_list.delete_head()
            raise AssertionError  # This should not happen.
      except IndexError:
            assert True  # This should happen.

      try:
            linked_list.delete_tail()
            raise AssertionError  # This should not happen.
      except IndexError:
            assert True  # This should happen.

      for i in range(1_0						):
            assert len(UpperCAmelCase						) == i
            linked_list.insert_at_nth(UpperCAmelCase   ,	i + 1						)
      assert str(UpperCAmelCase						) == "->".join(str(UpperCAmelCase						) for i in range(1   ,	1_1						)						)

      linked_list.insert_at_head(0						)
      linked_list.insert_at_tail(1_1						)
      assert str(UpperCAmelCase						) == "->".join(str(UpperCAmelCase						) for i in range(0   ,	1_2						)						)

      assert linked_list.delete_head() == 0
      assert linked_list.delete_at_nth(9						) == 1_0
      assert linked_list.delete_tail() == 1_1
      assert len(UpperCAmelCase						) == 9
      assert str(UpperCAmelCase						) == "->".join(str(UpperCAmelCase						) for i in range(1   ,	1_0						)						)


if __name__ == "__main__":
 from doctest import testmod

 testmod()






