'''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
_lowercase		:					Any													=		False
_lowercase		:					Optional[Any]													=		Config.from_pretrained("unc-nlp/frcnn-vg-finetuned")
_lowercase		:					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, 2048), dtype="float32"),
            "sizes": datasets.Sequence(length=2, feature=datasets.Value("float32")),
            "preds_per_image": datasets.Value(dtype="int32"),
        }
    )
)





class        __magic_name__		:







			def __init__(      self							:    Union[str, Any]							,     lowercase_							:    Any=sys.argv[1:]       ):
										lowercase_   :     List[str]									=			None
										lowercase_   :     List[str]									=			None
										lowercase_   :     List[Any]									=			None
										lowercase_   :     Optional[int]									=			1
										lowercase_		,		lowercase_   :     Any									=			getopt.getopt(lowercase_							,     """i:o:b:s"""							,     ["""inputdir=""", """outfile=""", """batch_size=""", """subset_list="""]       )
										for opt, arg in opts:
																	if opt in ("-i", "--inputdir"):
																								lowercase_   :     str									=			arg
																	elif opt in ("-o", "--outfile"):
																								lowercase_   :     Dict									=			arg
																	elif opt in ("-b", "--batch_size"):
																								lowercase_   :     int									=			int(lowercase_       )
																	elif opt in ("-s", "--subset_list"):
																								lowercase_   :     Any									=			arg

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

										lowercase_   :     List[Any]									=			CONFIG
										if torch.cuda.is_available():
																	lowercase_   :     Any									=			"""cuda"""
										lowercase_   :     Optional[Any]									=			os.path.realpath(lowercase_       )
										lowercase_   :     int									=			os.path.realpath(lowercase_       )
										lowercase_   :     str									=			Preprocess(self.config       )
										lowercase_   :     Optional[int]									=			GeneralizedRCNN.from_pretrained("""unc-nlp/frcnn-vg-finetuned"""							,     config=self.config       )
										lowercase_   :     Union[str, Any]									=			batch_size if batch_size != 0 else 1
										lowercase_   :     str									=			DEFAULT_SCHEMA







			def       SCREAMING_SNAKE_CASE_	(      self							:    List[Any]							,     lowercase_							:    Dict       ):
										lowercase_   :     Union[str, Any]									=			int(file.split("""."""       )[0].split("""_"""       )[-1]       )
										lowercase_   :     Any									=			os.path.join(self.inputdir							,     lowercase_       )
										return (img_id, filepath)







			@property
			def       SCREAMING_SNAKE_CASE_	(      self							:    int       ):
										lowercase_   :     Any									=			[]
										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(lowercase_       )       )
																	if len(lowercase_       ) == self.batch:
																								lowercase_   :     Any									=			batch
																								lowercase_   :     Tuple									=			[]
																								yield list(map(lowercase_							,     zip(*lowercase_       )       )       )

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







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




def 				lowerCamelCase      ( UpperCAmelCase__			:   List[str]					)     -> Optional[Any]:


							try:
														lowercase_   :     Optional[int]									=			json.load(__snake_case					)
														try:
																					lowercase_   :     Any									=			list(data.keys()					)
														except Exception:
																					lowercase_   :     int									=			[d["""img_id"""] for d in data]
							except Exception:
														try:
																					lowercase_   :     Dict									=			eval(stream.read()					)
														except Exception:
																					lowercase_   :     Optional[Any]									=			stream.read().split("""\n"""					)
							return data


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









from __future__ import annotations

import unittest
from collections.abc import Iterator







class  lowerCamelCase__  :





     def __init__(self						,	UpperCAmelCase						,	UpperCAmelCase			)	->  None:
      _lowercase				 =label
      _lowercase				 =parent
      _lowercase				 =None
      _lowercase				 =None







class  lowerCamelCase__  :





     def __init__(self			)	->  None:
      _lowercase				 =None





     def 	__A   (self			)	->  None:
      _lowercase				 =None





     def 	__A   (self			)	->  bool:
      return self.root is None





     def 	__A   (self						,	UpperCAmelCase			)	->  None:
      _lowercase				 =self._put(self.root						,	UpperCAmelCase			)





     def 	__A   (self						,	UpperCAmelCase						,	UpperCAmelCase						,	UpperCAmelCase = None			)	->  Node:
      if node is None:
       _lowercase				 =Node(UpperCAmelCase						,	UpperCAmelCase			)
      else:
       if label < node.label:
        _lowercase				 =self._put(node.left						,	UpperCAmelCase						,	UpperCAmelCase			)
       elif label > node.label:
        _lowercase				 =self._put(node.right						,	UpperCAmelCase						,	UpperCAmelCase			)
       else:
        _lowercase				 =f"Node with label {label} already exists"
        raise Exception(UpperCAmelCase			)

      return node





     def 	__A   (self						,	UpperCAmelCase			)	->  Node:
      return self._search(self.root						,	UpperCAmelCase			)





     def 	__A   (self						,	UpperCAmelCase						,	UpperCAmelCase			)	->  Node:
      if node is None:
       _lowercase				 =f"Node with label {label} does not exist"
       raise Exception(UpperCAmelCase			)
      else:
       if label < node.label:
        _lowercase				 =self._search(node.left						,	UpperCAmelCase			)
       elif label > node.label:
        _lowercase				 =self._search(node.right						,	UpperCAmelCase			)

      return node





     def 	__A   (self						,	UpperCAmelCase			)	->  None:
      _lowercase				 =self.search(UpperCAmelCase			)
      if node.right and node.left:
       _lowercase				 =self._get_lowest_node(node.right			)
       _lowercase				 =node.left
       _lowercase				 =node.right
       _lowercase				 =lowest_node
       if node.right:
        _lowercase				 =lowest_node
       self._reassign_nodes(UpperCAmelCase						,	UpperCAmelCase			)
      elif not node.right and node.left:
       self._reassign_nodes(UpperCAmelCase						,	node.left			)
      elif node.right and not node.left:
       self._reassign_nodes(UpperCAmelCase						,	node.right			)
      else:
       self._reassign_nodes(UpperCAmelCase						,	UpperCAmelCase			)





     def 	__A   (self						,	UpperCAmelCase						,	UpperCAmelCase			)	->  None:
      if new_children:
       _lowercase				 =node.parent

      if node.parent:
       if node.parent.right == node:
        _lowercase				 =new_children
       else:
        _lowercase				 =new_children
      else:
       _lowercase				 =new_children





     def 	__A   (self						,	UpperCAmelCase			)	->  Node:
      if node.left:
       _lowercase				 =self._get_lowest_node(node.left			)
      else:
       _lowercase				 =node
       self._reassign_nodes(UpperCAmelCase						,	node.right			)

      return lowest_node





     def 	__A   (self						,	UpperCAmelCase			)	->  bool:
      try:
       self.search(UpperCAmelCase			)
       return True
      except Exception:
       return False





     def 	__A   (self			)	->  int:
      if self.root is None:
       raise Exception('''Binary search tree is empty'''			)

      _lowercase				 =self.root
      while node.right is not None:
       _lowercase				 =node.right

      return node.label





     def 	__A   (self			)	->  int:
      if self.root is None:
       raise Exception('''Binary search tree is empty'''			)

      _lowercase				 =self.root
      while node.left is not None:
       _lowercase				 =node.left

      return node.label





     def 	__A   (self			)	->  Iterator[Node]:
      return self._inorder_traversal(self.root			)





     def 	__A   (self						,	UpperCAmelCase			)	->  Iterator[Node]:
      if node is not None:
       yield from self._inorder_traversal(node.left			)
       yield node
       yield from self._inorder_traversal(node.right			)





     def 	__A   (self			)	->  Iterator[Node]:
      return self._preorder_traversal(self.root			)





     def 	__A   (self						,	UpperCAmelCase			)	->  Iterator[Node]:
      if node is not None:
       yield node
       yield from self._preorder_traversal(node.left			)
       yield from self._preorder_traversal(node.right			)







class  lowerCamelCase__  (			unittest.TestCase):





     @staticmethod
     def 	__A   ()	->  BinarySearchTree:
      _lowercase				 =BinarySearchTree()
      t.put(8			)
      t.put(3			)
      t.put(6			)
      t.put(1			)
      t.put(1_0			)
      t.put(1_4			)
      t.put(1_3			)
      t.put(4			)
      t.put(7			)
      t.put(5			)

      return t





     def 	__A   (self			)	->  None:
      _lowercase				 =BinarySearchTree()
      assert t.is_empty()

      t.put(8			)
      assert t.root is not None
      assert t.root.parent is None
      assert t.root.label == 8

      t.put(1_0			)
      assert t.root.right is not None
      assert t.root.right.parent == t.root
      assert t.root.right.label == 1_0

      t.put(3			)
      assert t.root.left is not None
      assert t.root.left.parent == t.root
      assert t.root.left.label == 3

      t.put(6			)
      assert t.root.left.right is not None
      assert t.root.left.right.parent == t.root.left
      assert t.root.left.right.label == 6

      t.put(1			)
      assert t.root.left.left is not None
      assert t.root.left.left.parent == t.root.left
      assert t.root.left.left.label == 1

      with self.assertRaises(UpperCAmelCase			):  # noqa: B017
       t.put(1			)





     def 	__A   (self			)	->  None:
      _lowercase				 =self._get_binary_search_tree()

      _lowercase				 =t.search(6			)
      assert node.label == 6

      _lowercase				 =t.search(1_3			)
      assert node.label == 1_3

      with self.assertRaises(UpperCAmelCase			):  # noqa: B017
       t.search(2			)





     def 	__A   (self			)	->  None:
      _lowercase				 =self._get_binary_search_tree()

      t.remove(1_3			)
      assert t.root is not None
      assert t.root.right is not None
      assert t.root.right.right is not None
      assert t.root.right.right.right is None
      assert t.root.right.right.left is None

      t.remove(7			)
      assert t.root.left is not None
      assert t.root.left.right is not None
      assert t.root.left.right.left is not None
      assert t.root.left.right.right is None
      assert t.root.left.right.left.label == 4

      t.remove(6			)
      assert t.root.left.left is not None
      assert t.root.left.right.right is not None
      assert t.root.left.left.label == 1
      assert t.root.left.right.label == 4
      assert t.root.left.right.right.label == 5
      assert t.root.left.right.left is None
      assert t.root.left.left.parent == t.root.left
      assert t.root.left.right.parent == t.root.left

      t.remove(3			)
      assert t.root is not None
      assert t.root.left.label == 4
      assert t.root.left.right.label == 5
      assert t.root.left.left.label == 1
      assert t.root.left.parent == t.root
      assert t.root.left.left.parent == t.root.left
      assert t.root.left.right.parent == t.root.left

      t.remove(4			)
      assert t.root.left is not None
      assert t.root.left.left is not None
      assert t.root.left.label == 5
      assert t.root.left.right is None
      assert t.root.left.left.label == 1
      assert t.root.left.parent == t.root
      assert t.root.left.left.parent == t.root.left





     def 	__A   (self			)	->  None:
      _lowercase				 =self._get_binary_search_tree()

      t.remove(3			)
      assert t.root is not None
      assert t.root.left is not None
      assert t.root.left.left is not None
      assert t.root.left.right is not None
      assert t.root.left.right.left is not None
      assert t.root.left.right.right is not None
      assert t.root.left.label == 4
      assert t.root.left.right.label == 6
      assert t.root.left.left.label == 1
      assert t.root.left.right.right.label == 7
      assert t.root.left.right.left.label == 5
      assert t.root.left.parent == t.root
      assert t.root.left.right.parent == t.root.left
      assert t.root.left.left.parent == t.root.left
      assert t.root.left.right.left.parent == t.root.left.right





     def 	__A   (self			)	->  None:
      _lowercase				 =self._get_binary_search_tree()
      t.empty()
      assert t.root is None





     def 	__A   (self			)	->  None:
      _lowercase				 =self._get_binary_search_tree()
      assert not t.is_empty()

      t.empty()
      assert t.is_empty()





     def 	__A   (self			)	->  None:
      _lowercase				 =self._get_binary_search_tree()

      assert t.exists(6			)
      assert not t.exists(-1			)





     def 	__A   (self			)	->  None:
      _lowercase				 =self._get_binary_search_tree()

      assert t.get_max_label() == 1_4

      t.empty()
      with self.assertRaises(UpperCAmelCase			):  # noqa: B017
       t.get_max_label()





     def 	__A   (self			)	->  None:
      _lowercase				 =self._get_binary_search_tree()

      assert t.get_min_label() == 1

      t.empty()
      with self.assertRaises(UpperCAmelCase			):  # noqa: B017
       t.get_min_label()





     def 	__A   (self			)	->  None:
      _lowercase				 =self._get_binary_search_tree()

      _lowercase				 =[i.label for i in t.inorder_traversal()]
      assert inorder_traversal_nodes == [1, 3, 4, 5, 6, 7, 8, 1_0, 1_3, 1_4]





     def 	__A   (self			)	->  None:
      _lowercase				 =self._get_binary_search_tree()

      _lowercase				 =[i.label for i in t.preorder_traversal()]
      assert preorder_traversal_nodes == [8, 3, 1, 6, 4, 5, 7, 1_0, 1_4, 1_3]



def 							UpperCAmelCase_   (				)	->     None:







 """simple docstring"""


 _lowercase				 =BinarySearchTree()
 t.put(8		)
 t.put(3		)
 t.put(6		)
 t.put(1		)
 t.put(10		)
 t.put(14		)
 t.put(13		)
 t.put(4		)
 t.put(7		)
 t.put(5		)

 print(
     '''
            8
           / \\
          3   10
         / \\    \\
        1   6    14
           / \\   /
          4   7 13
           \\
            5
        '''		)

 print('''Label 6 exists:'''	,		t.exists(6		)		)
 print('''Label 13 exists:'''	,		t.exists(13		)		)
 print('''Label -1 exists:'''	,		t.exists(-1		)		)
 print('''Label 12 exists:'''	,		t.exists(12		)		)

 # Prints all the elements of the list in inorder traversal
 _lowercase				 =[i.label for i in t.inorder_traversal()]
 print('''Inorder traversal:'''	,		__snake_case		)

 # Prints all the elements of the list in preorder traversal
 _lowercase				 =[i.label for i in t.preorder_traversal()]
 print('''Preorder traversal:'''	,		__snake_case		)

 print('''Max. label:'''	,		t.get_max_label()		)
 print('''Min. label:'''	,		t.get_min_label()		)

 # Delete elements
 print('''\nDeleting elements 13, 10, 8, 3, 6, 14'''		)
 print(
     '''
          4
         / \\
        1   7
             \\
              5
        '''		)
 t.remove(13		)
 t.remove(10		)
 t.remove(8		)
 t.remove(3		)
 t.remove(6		)
 t.remove(14		)

 # Prints all the elements of the list in inorder traversal after delete
 _lowercase				 =[i.label for i in t.inorder_traversal()]
 print('''Inorder traversal after delete:'''	,		__snake_case		)

 # Prints all the elements of the list in preorder traversal after delete
 _lowercase				 =[i.label for i in t.preorder_traversal()]
 print('''Preorder traversal after delete:'''	,		__snake_case		)

 print('''Max. label:'''	,		t.get_max_label()		)
 print('''Min. label:'''	,		t.get_min_label()		)


if __name__ == "__main__":
  binary_search_tree_example()

