





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
a__			:    List[Any]			      =		False
a__			:    Any			      =		Config.from_pretrained('unc-nlp/frcnn-vg-finetuned')
a__			:    Tuple			      =		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 SCREAMING_SNAKE_CASE							:


  def __init__(       self   ,__snake_case=sys.argv[1:]   ):



       """simple docstring"""





       A_					      =					None
       A_					      =					None
       A_					      =					None
       A_					      =					1
       A_      ,						A_					      =					getopt.getopt(__snake_case   ,'''i:o:b:s'''   ,['''inputdir=''', '''outfile=''', '''batch_size=''', '''subset_list=''']   )
       for opt, arg in opts:
            if opt in ("-i", "--inputdir"):
                 A_					      =					arg
            elif opt in ("-o", "--outfile"):
                 A_					      =					arg
            elif opt in ("-b", "--batch_size"):
                 A_					      =					int(__snake_case   )
            elif opt in ("-s", "--subset_list"):
                 A_					      =					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:
                 A_					      =					{self._vqa_file_split()[0] for x in tryload(__snake_case   )}
       else:
            A_					      =					None

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


  def 	__UpperCAmelCase    (       self   ,__snake_case   ):



       """simple docstring"""





       A_					      =					int(file.split('''.'''   )[0].split('''_'''   )[-1]   )
       A_					      =					os.path.join(self.inputdir   ,__snake_case   )
       return (img_id, filepath)


  @property
  def 	__UpperCAmelCase    (       self   ):



       """simple docstring"""





       A_					      =					[]
       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:
                 A_					      =					batch
                 A_					      =					[]
                 yield list(map(__snake_case   ,zip(*__snake_case   )   )   )

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




  def __call__(       self   ):



       """simple docstring"""





       if not TEST:
            A_					      =					datasets.ArrowWriter(features=self.schema   ,path=self.outputfile   )
       # do file generator
       for i, (img_ids, filepaths) in enumerate(self.file_generator   ):
            A_      ,						A_      ,						A_					      =					self.preprocess(__snake_case   )
            A_					      =					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'''   ,)
            A_					      =					output_dict.pop('''normalized_boxes'''   )
            if not TEST:
                 A_					      =					np.array(__snake_case   )
                 A_					      =					self.schema.encode_batch(__snake_case   )
                 writer.write_batch(__snake_case   )
            if TEST:
                 break
            # finalizer the writer
       if not TEST:
            A_      ,						A_					      =					writer.finalize()
            print(f'Success! You wrote {num_examples} entry(s) and {num_bytes >> 2_0} mb'   )




def     UpperCAmelCase_						(						_UpperCAmelCase       :str							)  ->							Union[str, Any]:
     '''simple docstring'''


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


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










# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import ast
import difflib
from collections.abc import Mapping
from typing import Any, Callable, Dict





class UpperCAmelCase_							(   _SCREAMING_SNAKE_CASE   ):
  pass




def     UpperCAmelCase_						(						_UpperCAmelCase       :str     ,	_UpperCAmelCase       :Dict[str, Callable]     ,	_UpperCAmelCase       :Tuple=None     ,	_UpperCAmelCase       :Union[str, Any]=False							)  ->							Optional[int]:
     '''simple docstring'''


     try:
          A_					      =					ast.parse(_UpperCAmelCase							)
     except SyntaxError as e:
          print('''The code generated by the agent is not valid.\n'''     ,	_UpperCAmelCase							)
          return
     if state is None:
          A_					      =					{}
     A_					      =					None
     for idx, node in enumerate(expression.body							):
          try:
               A_					      =					evaluate_ast(_UpperCAmelCase     ,	_UpperCAmelCase     ,	_UpperCAmelCase							)
          except InterpretorError as e:
               A_					      =					f'Evaluation of the code stopped at line {idx} before the end because of the following error'
               if chat_mode:
                    msg += (
                        f'. Copy paste the following error message and send it back to the agent:\nI get an error: \'{e}\''
                    )
               else:
                    msg += f':\n{e}'
               print(_UpperCAmelCase							)
               break
          if line_result is not None:
               A_					      =					line_result

     return result

def     UpperCAmelCase_						(						_UpperCAmelCase       :ast.AST     ,	_UpperCAmelCase       :Dict[str, Any]     ,	_UpperCAmelCase       :Dict[str, Callable]							)  ->							Dict:
     '''simple docstring'''


     if isinstance(_UpperCAmelCase     ,	ast.Assign							):
          # Assignement -> we evaluate the assignement which should update the state
          # We return the variable assigned as it may be used to determine the final result.
          return evaluate_assign(_UpperCAmelCase     ,	_UpperCAmelCase     ,	_UpperCAmelCase							)
     elif isinstance(_UpperCAmelCase     ,	ast.Call							):
          # Function call -> we return the value of the function call
          return evaluate_call(_UpperCAmelCase     ,	_UpperCAmelCase     ,	_UpperCAmelCase							)
     elif isinstance(_UpperCAmelCase     ,	ast.Constant							):
          # Constant -> just return the value
          return expression.value
     elif isinstance(_UpperCAmelCase     ,	ast.Dict							):
          # Dict -> evaluate all keys and values
          A_					      =					[evaluate_ast(_UpperCAmelCase     ,	_UpperCAmelCase     ,	_UpperCAmelCase							) for k in expression.keys]
          A_					      =					[evaluate_ast(_UpperCAmelCase     ,	_UpperCAmelCase     ,	_UpperCAmelCase							) for v in expression.values]
          return dict(zip(_UpperCAmelCase     ,	_UpperCAmelCase							)							)
     elif isinstance(_UpperCAmelCase     ,	ast.Expr							):
          # Expression -> evaluate the content
          return evaluate_ast(expression.value     ,	_UpperCAmelCase     ,	_UpperCAmelCase							)
     elif isinstance(_UpperCAmelCase     ,	ast.For							):
          # For loop -> execute the loop
          return evaluate_for(_UpperCAmelCase     ,	_UpperCAmelCase     ,	_UpperCAmelCase							)
     elif isinstance(_UpperCAmelCase     ,	ast.FormattedValue							):
          # Formatted value (part of f-string) -> evaluate the content and return
          return evaluate_ast(expression.value     ,	_UpperCAmelCase     ,	_UpperCAmelCase							)
     elif isinstance(_UpperCAmelCase     ,	ast.If							):
          # If -> execute the right branch
          return evaluate_if(_UpperCAmelCase     ,	_UpperCAmelCase     ,	_UpperCAmelCase							)
     elif hasattr(_UpperCAmelCase     ,	'''Index'''							) and isinstance(_UpperCAmelCase     ,	ast.Index							):
          return evaluate_ast(expression.value     ,	_UpperCAmelCase     ,	_UpperCAmelCase							)
     elif isinstance(_UpperCAmelCase     ,	ast.JoinedStr							):
          return "".join([str(evaluate_ast(_UpperCAmelCase     ,	_UpperCAmelCase     ,	_UpperCAmelCase							)							) for v in expression.values]							)
     elif isinstance(_UpperCAmelCase     ,	ast.List							):
          # List -> evaluate all elements
          return [evaluate_ast(_UpperCAmelCase     ,	_UpperCAmelCase     ,	_UpperCAmelCase							) for elt in expression.elts]
     elif isinstance(_UpperCAmelCase     ,	ast.Name							):
          # Name -> pick up the value in the state
          return evaluate_name(_UpperCAmelCase     ,	_UpperCAmelCase     ,	_UpperCAmelCase							)
     elif isinstance(_UpperCAmelCase     ,	ast.Subscript							):
          # Subscript -> return the value of the indexing
          return evaluate_subscript(_UpperCAmelCase     ,	_UpperCAmelCase     ,	_UpperCAmelCase							)
     else:
          # For now we refuse anything else. Let's add things as we need them.
          raise InterpretorError(f'{expression.__class__.__name__} is not supported.'							)

def     UpperCAmelCase_						(						_UpperCAmelCase       :str     ,	_UpperCAmelCase       :int     ,	_UpperCAmelCase       :int							)  ->							Any:
     '''simple docstring'''


     A_					      =					assign.targets
     A_					      =					evaluate_ast(assign.value     ,	_UpperCAmelCase     ,	_UpperCAmelCase							)

     if len(_UpperCAmelCase							) == 1:
          A_					      =					result
     else:
          if len(_UpperCAmelCase							) != len(_UpperCAmelCase							):
               raise InterpretorError(f'Expected {len(_UpperCAmelCase							)} values but got {len(_UpperCAmelCase							)}.'							)
          for var_name, r in zip(_UpperCAmelCase     ,	_UpperCAmelCase							):
               A_					      =					r
     return result

def     UpperCAmelCase_						(						_UpperCAmelCase       :Dict     ,	_UpperCAmelCase       :Union[str, Any]     ,	_UpperCAmelCase       :int							)  ->							Optional[Any]:
     '''simple docstring'''


     if not isinstance(call.func     ,	ast.Name							):
          raise InterpretorError(
              f'It is not permitted to evaluate other functions than the provided tools (tried to execute {call.func} of '
              f'type {type(call.func							)}.'							)
     A_					      =					call.func.id
     if func_name not in tools:
          raise InterpretorError(
              f'It is not permitted to evaluate other functions than the provided tools (tried to execute {call.func.id}).'							)

     A_					      =					tools[func_name]
     # Todo deal with args
     A_					      =					[evaluate_ast(_UpperCAmelCase     ,	_UpperCAmelCase     ,	_UpperCAmelCase							) for arg in call.args]
     A_					      =					{keyword.arg: evaluate_ast(keyword.value     ,	_UpperCAmelCase     ,	_UpperCAmelCase							) for keyword in call.keywords}
     return func(*_UpperCAmelCase     ,	**_UpperCAmelCase							)

def     UpperCAmelCase_						(						_UpperCAmelCase       :int     ,	_UpperCAmelCase       :Union[str, Any]     ,	_UpperCAmelCase       :Tuple							)  ->							Union[str, Any]:
     '''simple docstring'''


     A_					      =					evaluate_ast(subscript.slice     ,	_UpperCAmelCase     ,	_UpperCAmelCase							)
     A_					      =					evaluate_ast(subscript.value     ,	_UpperCAmelCase     ,	_UpperCAmelCase							)
     if isinstance(_UpperCAmelCase     ,	(list, tuple)							):
          return value[int(_UpperCAmelCase							)]
     if index in value:
          return value[index]
     if isinstance(_UpperCAmelCase     ,	_UpperCAmelCase							) and isinstance(_UpperCAmelCase     ,	_UpperCAmelCase							):
          A_					      =					difflib.get_close_matches(_UpperCAmelCase     ,	list(value.keys()							)							)
          if len(_UpperCAmelCase							) > 0:
               return value[close_matches[0]]

     raise InterpretorError(f'Could not index {value} with \'{index}\'.'							)

def     UpperCAmelCase_						(						_UpperCAmelCase       :Optional[Any]     ,	_UpperCAmelCase       :int     ,	_UpperCAmelCase       :Tuple							)  ->							Tuple:
     '''simple docstring'''


     if name.id in state:
          return state[name.id]
     A_					      =					difflib.get_close_matches(name.id     ,	list(state.keys()							)							)
     if len(_UpperCAmelCase							) > 0:
          return state[close_matches[0]]
     raise InterpretorError(f'The variable `{name.id}` is not defined.'							)

def     UpperCAmelCase_						(						_UpperCAmelCase       :Optional[int]     ,	_UpperCAmelCase       :Union[str, Any]     ,	_UpperCAmelCase       :str							)  ->							Optional[int]:
     '''simple docstring'''


     if len(condition.ops							) > 1:
          raise InterpretorError('''Cannot evaluate conditions with multiple operators'''							)

     A_					      =					evaluate_ast(condition.left     ,	_UpperCAmelCase     ,	_UpperCAmelCase							)
     A_					      =					condition.ops[0]
     A_					      =					evaluate_ast(condition.comparators[0]     ,	_UpperCAmelCase     ,	_UpperCAmelCase							)

     if isinstance(_UpperCAmelCase     ,	ast.Eq							):
          return left == right
     elif isinstance(_UpperCAmelCase     ,	ast.NotEq							):
          return left != right
     elif isinstance(_UpperCAmelCase     ,	ast.Lt							):
          return left < right
     elif isinstance(_UpperCAmelCase     ,	ast.LtE							):
          return left <= right
     elif isinstance(_UpperCAmelCase     ,	ast.Gt							):
          return left > right
     elif isinstance(_UpperCAmelCase     ,	ast.GtE							):
          return left >= right
     elif isinstance(_UpperCAmelCase     ,	ast.Is							):
          return left is right
     elif isinstance(_UpperCAmelCase     ,	ast.IsNot							):
          return left is not right
     elif isinstance(_UpperCAmelCase     ,	ast.In							):
          return left in right
     elif isinstance(_UpperCAmelCase     ,	ast.NotIn							):
          return left not in right
     else:
          raise InterpretorError(f'Operator not supported: {comparator}'							)

def     UpperCAmelCase_						(						_UpperCAmelCase       :Optional[Any]     ,	_UpperCAmelCase       :str     ,	_UpperCAmelCase       :List[Any]							)  ->							Optional[Any]:
     '''simple docstring'''


     A_					      =					None
     if evaluate_condition(if_statement.test     ,	_UpperCAmelCase     ,	_UpperCAmelCase							):
          for line in if_statement.body:
               A_					      =					evaluate_ast(_UpperCAmelCase     ,	_UpperCAmelCase     ,	_UpperCAmelCase							)
               if line_result is not None:
                    A_					      =					line_result
     else:
          for line in if_statement.orelse:
               A_					      =					evaluate_ast(_UpperCAmelCase     ,	_UpperCAmelCase     ,	_UpperCAmelCase							)
               if line_result is not None:
                    A_					      =					line_result
     return result


def     UpperCAmelCase_						(						_UpperCAmelCase       :List[str]     ,	_UpperCAmelCase       :List[Any]     ,	_UpperCAmelCase       :Tuple							)  ->							str:
     '''simple docstring'''


     A_					      =					None
     A_					      =					evaluate_ast(for_loop.iter     ,	_UpperCAmelCase     ,	_UpperCAmelCase							)
     for counter in iterator:
          A_					      =					counter
          for expression in for_loop.body:
               A_					      =					evaluate_ast(_UpperCAmelCase     ,	_UpperCAmelCase     ,	_UpperCAmelCase							)
               if line_result is not None:
                    A_					      =					line_result
     return result



