"""simple docstring"""


import copy
import json
import os
import tempfile

from transformers import is_torch_available

from .test_configuration_utils import config_common_kwargs


class 							a					(		lowerCAmelCase_ ):


    def __init__(       self						:	Union[str, Any] ,					__lowerCAmelCase						:	Union[str, Any] ,					__lowerCAmelCase						:	str=None ,					__lowerCAmelCase						:	List[Any]=True ,					__lowerCAmelCase						:	Union[str, Any]=None ,					**__lowerCAmelCase						:	Dict       ):
      _UpperCAmelCase    			=   parent
      _UpperCAmelCase    			=   config_class
      _UpperCAmelCase    			=   has_text_modality
      _UpperCAmelCase    			=   kwargs
      _UpperCAmelCase    			=   common_properties


    def   lowerCAmelCase_	(       self						:	Dict       ):
      _UpperCAmelCase    			=   self.config_class(**self.inputs_dict       )
      _UpperCAmelCase    			=   (
          ["""hidden_size""", """num_attention_heads""", """num_hidden_layers"""]
          if self.common_properties is None
          else self.common_properties
      )

      # Add common fields for text models
      if self.has_text_modality:
        common_properties.extend(["""vocab_size"""]       )

      # Test that config has the common properties as getters
      for prop in common_properties:
        self.parent.assertTrue(hasattr(__lowerCAmelCase ,					__lowerCAmelCase       ) ,					msg=f'''`{prop}` does not exist'''       )

      # Test that config has the common properties as setter
      for idx, name in enumerate(__lowerCAmelCase       ):
        try:
          setattr(__lowerCAmelCase ,					__lowerCAmelCase ,					__lowerCAmelCase       )
          self.parent.assertEqual(
              getattr(__lowerCAmelCase ,					__lowerCAmelCase       ) ,					__lowerCAmelCase ,					msg=f'''`{name} value {idx} expected, but was {getattr(__lowerCAmelCase ,					__lowerCAmelCase       )}'''       )
        except NotImplementedError:
          # Some models might not be able to implement setters for common_properties
          # In that case, a NotImplementedError is raised
          pass

        # Test if config class can be called with Config(prop_name=..)
      for idx, name in enumerate(__lowerCAmelCase       ):
        try:
          _UpperCAmelCase    			=   self.config_class(**{name: idx}       )
          self.parent.assertEqual(
              getattr(__lowerCAmelCase ,					__lowerCAmelCase       ) ,					__lowerCAmelCase ,					msg=f'''`{name} value {idx} expected, but was {getattr(__lowerCAmelCase ,					__lowerCAmelCase       )}'''       )
        except NotImplementedError:
          # Some models might not be able to implement setters for common_properties
          # In that case, a NotImplementedError is raised
          pass


    def   lowerCAmelCase_	(       self						:	Optional[Any]       ):
      _UpperCAmelCase    			=   self.config_class(**self.inputs_dict       )
      _UpperCAmelCase    			=   json.loads(config.to_json_string()       )
      for key, value in self.inputs_dict.items():
        self.parent.assertEqual(obj[key] ,					__lowerCAmelCase       )


    def   lowerCAmelCase_	(       self						:	Union[str, Any]       ):
      _UpperCAmelCase    			=   self.config_class(**self.inputs_dict       )

      with tempfile.TemporaryDirectory() as tmpdirname:
        _UpperCAmelCase    			=   os.path.join(__lowerCAmelCase ,					"""config.json"""       )
        config_first.to_json_file(__lowerCAmelCase       )
        _UpperCAmelCase    			=   self.config_class.from_json_file(__lowerCAmelCase       )

      self.parent.assertEqual(config_second.to_dict() ,					config_first.to_dict()       )


    def   lowerCAmelCase_	(       self						:	List[str]       ):
      _UpperCAmelCase    			=   self.config_class(**self.inputs_dict       )

      with tempfile.TemporaryDirectory() as tmpdirname:
        config_first.save_pretrained(__lowerCAmelCase       )
        _UpperCAmelCase    			=   self.config_class.from_pretrained(__lowerCAmelCase       )

      self.parent.assertEqual(config_second.to_dict() ,					config_first.to_dict()       )


    def   lowerCAmelCase_	(       self						:	Optional[Any]       ):
      _UpperCAmelCase    			=   self.config_class(**self.inputs_dict       )

      _UpperCAmelCase    			=   """test"""
      with tempfile.TemporaryDirectory() as tmpdirname:
        _UpperCAmelCase    			=   os.path.join(__lowerCAmelCase ,					__lowerCAmelCase       )
        config_first.save_pretrained(__lowerCAmelCase       )
        _UpperCAmelCase    			=   self.config_class.from_pretrained(__lowerCAmelCase ,					subfolder=__lowerCAmelCase       )

      self.parent.assertEqual(config_second.to_dict() ,					config_first.to_dict()       )


    def   lowerCAmelCase_	(       self						:	List[str]       ):
      _UpperCAmelCase    			=   self.config_class(**self.inputs_dict ,					num_labels=5       )
      self.parent.assertEqual(len(config.idalabel       ) ,					5       )
      self.parent.assertEqual(len(config.labelaid       ) ,					5       )

      _UpperCAmelCase    			=   3
      self.parent.assertEqual(len(config.idalabel       ) ,					3       )
      self.parent.assertEqual(len(config.labelaid       ) ,					3       )


    def   lowerCAmelCase_	(       self						:	List[str]       ):
      if self.config_class.is_composition:
        return
      _UpperCAmelCase    			=   self.config_class()
      self.parent.assertIsNotNone(__lowerCAmelCase       )


    def   lowerCAmelCase_	(       self						:	Any       ):
      _UpperCAmelCase    			=   copy.deepcopy(__lowerCAmelCase       )
      _UpperCAmelCase    			=   self.config_class(**__lowerCAmelCase       )
      _UpperCAmelCase    			=   []
      for key, value in config_common_kwargs.items():
        if key == "torch_dtype":
          if not is_torch_available():
            continue
          else:
            import torch

            if config.torch_dtype != torch.floataa:
              wrong_values.append(("""torch_dtype""", config.torch_dtype, torch.floataa)       )
        elif getattr(__lowerCAmelCase ,					__lowerCAmelCase       ) != value:
          wrong_values.append((key, getattr(__lowerCAmelCase ,					__lowerCAmelCase       ), value)       )

      if len(__lowerCAmelCase       ) > 0:
        _UpperCAmelCase    			=   """\n""".join([f'''- {v[0]}: got {v[1]} instead of {v[2]}''' for v in wrong_values]       )
        raise ValueError(f'''The following keys were not properly set in the config:\n{errors}'''       )


    def   lowerCAmelCase_	(       self						:	Optional[Any]       ):
      self.create_and_test_config_common_properties()
      self.create_and_test_config_to_json_string()
      self.create_and_test_config_to_json_file()
      self.create_and_test_config_from_and_save_pretrained()
      self.create_and_test_config_from_and_save_pretrained_subfolder()
      self.create_and_test_config_with_num_labels()
      self.check_config_can_be_init_without_params()
      self.check_config_arguments_init()

"""simple docstring"""


def      __UpperCAmelCase       (      lowercase		):







  """simple docstring"""
  _UpperCAmelCase    			=   0
  _UpperCAmelCase    			=   len(lowercase		)

  for i in range(n - 1		):
    for j in range(i + 1 ,lowercase		):
      if arr[i] > arr[j]:
        num_inversions += 1

  return num_inversions






def      __UpperCAmelCase       (      lowercase		):







  """simple docstring"""
  if len(lowercase		) <= 1:
    return arr, 0
  _UpperCAmelCase    			=   len(lowercase		) // 2
  _UpperCAmelCase    			=   arr[0:mid]
  _UpperCAmelCase    			=   arr[mid:]

  _UpperCAmelCase			,					_UpperCAmelCase    			=   count_inversions_recursive(lowercase		)
  _UpperCAmelCase			,					_UpperCAmelCase    			=   count_inversions_recursive(lowercase		)
  _UpperCAmelCase			,					_UpperCAmelCase    			=   _count_cross_inversions(lowercase ,lowercase		)

  _UpperCAmelCase    			=   inversion_p + inversions_q + cross_inversions
  return c, num_inversions






def      __UpperCAmelCase       (      lowercase ,lowercase		):







  """simple docstring"""
  _UpperCAmelCase    			=   []
  _UpperCAmelCase    			=   _UpperCAmelCase    			=   _UpperCAmelCase    			=   0
  while i < len(lowercase		) and j < len(lowercase		):
    if p[i] > q[j]:
      # if P[1] > Q[j], then P[k] > Q[k] for all  i < k <= len(P)
      # These are all inversions. The claim emerges from the
      # property that P is sorted.
      num_inversion += len(lowercase		) - i
      r.append(q[j]		)
      j += 1
    else:
      r.append(p[i]		)
      i += 1

  if i < len(lowercase		):
    r.extend(p[i:]		)
  else:
    r.extend(q[j:]		)

  return r, num_inversion






def      __UpperCAmelCase       (      ):







  """simple docstring"""
  _UpperCAmelCase    			=   [10, 2, 1, 5, 5, 2, 11]

  # this arr has 8 inversions:
  # (10, 2), (10, 1), (10, 5), (10, 5), (10, 2), (2, 1), (5, 2), (5, 2)

  _UpperCAmelCase    			=   count_inversions_bf(lowercase		)
  _UpperCAmelCase			,					_UpperCAmelCase    			=   count_inversions_recursive(lowercase		)

  assert num_inversions_bf == num_inversions_recursive == 8

  print("""number of inversions = """ ,lowercase		)

  # testing an array with zero inversion (a sorted arr_1)

  arr_a.sort()
  _UpperCAmelCase    			=   count_inversions_bf(lowercase		)
  _UpperCAmelCase			,					_UpperCAmelCase    			=   count_inversions_recursive(lowercase		)

  assert num_inversions_bf == num_inversions_recursive == 0
  print("""number of inversions = """ ,lowercase		)

  # an empty list should also have zero inversions
  _UpperCAmelCase    			=   []
  _UpperCAmelCase    			=   count_inversions_bf(lowercase		)
  _UpperCAmelCase			,					_UpperCAmelCase    			=   count_inversions_recursive(lowercase		)

  assert num_inversions_bf == num_inversions_recursive == 0
  print("""number of inversions = """ ,lowercase		)


if __name__ == "__main__":
    main()
