

from __future__ import annotations

from pprint import pformat
from typing import Generic, TypeVar

lowerCAmelCase__		      =       TypeVar("""T""")

class     a__  (    Generic[T]	):
			"""simple docstring"""







			def __init__(			self					,					lowercase = True				)     ->  Union[str, Any]:
							'''simple docstring'''






							A__						=	{}  # dictionary of lists
							A__						=	directed


			def    UpperCamelCase						(			self					,					lowercase					,					lowercase				)     ->  Any:
							'''simple docstring'''






							if not self.directed:  # For undirected graphs
											# if both source vertex and destination vertex are both present in the
											# adjacency list, add destination vertex to source vertex list of adjacent
											# vertices and add source vertex to destination vertex list of adjacent
											# vertices.
											if source_vertex in self.adj_list and destination_vertex in self.adj_list:
															self.adj_list[source_vertex].append(_lowerCamelCase				)
															self.adj_list[destination_vertex].append(_lowerCamelCase				)
											# if only source vertex is present in adjacency list, add destination vertex
											# to source vertex list of adjacent vertices, then create a new vertex with
											# destination vertex as key and assign a list containing the source vertex
											# as it's first adjacent vertex.
											elif source_vertex in self.adj_list:
															self.adj_list[source_vertex].append(_lowerCamelCase				)
															A__						=	[source_vertex]
											# if only destination vertex is present in adjacency list, add source vertex
											# to destination vertex list of adjacent vertices, then create a new vertex
											# with source vertex as key and assign a list containing the source vertex
											# as it's first adjacent vertex.
											elif destination_vertex in self.adj_list:
															self.adj_list[destination_vertex].append(_lowerCamelCase				)
															A__						=	[destination_vertex]
											# if both source vertex and destination vertex are not present in adjacency
											# list, create a new vertex with source vertex as key and assign a list
											# containing the destination vertex as it's first adjacent vertex also
											# create a new vertex with destination vertex as key and assign a list
											# containing the source vertex as it's first adjacent vertex.
											else:
															A__						=	[destination_vertex]
															A__						=	[source_vertex]
							else:  # For directed graphs
											# if both source vertex and destination vertex are present in adjacency
											# list, add destination vertex to source vertex list of adjacent vertices.
											if source_vertex in self.adj_list and destination_vertex in self.adj_list:
															self.adj_list[source_vertex].append(_lowerCamelCase				)
											# if only source vertex is present in adjacency list, add destination
											# vertex to source vertex list of adjacent vertices and create a new vertex
											# with destination vertex as key, which has no adjacent vertex
											elif source_vertex in self.adj_list:
															self.adj_list[source_vertex].append(_lowerCamelCase				)
															A__						=	[]
											# if only destination vertex is present in adjacency list, create a new
											# vertex with source vertex as key and assign a list containing destination
											# vertex as first adjacent vertex
											elif destination_vertex in self.adj_list:
															A__						=	[destination_vertex]
											# if both source vertex and destination vertex are not present in adjacency
											# list, create a new vertex with source vertex as key and a list containing
											# destination vertex as it's first adjacent vertex. Then create a new vertex
											# with destination vertex as key, which has no adjacent vertex
											else:
															A__						=	[destination_vertex]
															A__						=	[]

							return self


			def __repr__(			self				)     ->  Optional[int]:
							'''simple docstring'''






							return pformat(self.adj_list				)









"""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     (   a_	):







    def __init__(			self							,		_lowerCamelCase							,		_lowerCamelCase=None							,		_lowerCamelCase=True							,		_lowerCamelCase=None							,		**_lowerCamelCase       ):
      lowercase							    =       parent
      lowercase							    =       config_class
      lowercase							    =       has_text_modality
      lowercase							    =       kwargs
      lowercase							    =       common_properties







    def 			UpperCamelCase_      (			self       ):
      lowercase							    =       self.config_class(**self.inputs_dict       )
      lowercase							    =       (
          ['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:
          lowercase							    =       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 			UpperCamelCase_      (			self       ):
      lowercase							    =       self.config_class(**self.inputs_dict       )
      lowercase							    =       json.loads(config.to_json_string()       )
      for key, value in self.inputs_dict.items():
        self.parent.assertEqual(obj[key]							,		_lowerCamelCase       )







    def 			UpperCamelCase_      (			self       ):
      lowercase							    =       self.config_class(**self.inputs_dict       )

      with tempfile.TemporaryDirectory() as tmpdirname:
        lowercase							    =       os.path.join(_lowerCamelCase							,		'config.json'       )
        config_first.to_json_file(_lowerCamelCase       )
        lowercase							    =       self.config_class.from_json_file(_lowerCamelCase       )

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







    def 			UpperCamelCase_      (			self       ):
      lowercase							    =       self.config_class(**self.inputs_dict       )

      with tempfile.TemporaryDirectory() as tmpdirname:
        config_first.save_pretrained(_lowerCamelCase       )
        lowercase							    =       self.config_class.from_pretrained(_lowerCamelCase       )

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







    def 			UpperCamelCase_      (			self       ):
      lowercase							    =       self.config_class(**self.inputs_dict       )

      lowercase							    =       'test'
      with tempfile.TemporaryDirectory() as tmpdirname:
        lowercase							    =       os.path.join(_lowerCamelCase							,		_lowerCamelCase       )
        config_first.save_pretrained(_lowerCamelCase       )
        lowercase							    =       self.config_class.from_pretrained(_lowerCamelCase							,		subfolder=_lowerCamelCase       )

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







    def 			UpperCamelCase_      (			self       ):
      lowercase							    =       self.config_class(**self.inputs_dict							,		num_labels=5       )
      self.parent.assertEqual(len(config.idalabel       )							,		5       )
      self.parent.assertEqual(len(config.labelaid       )							,		5       )

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







    def 			UpperCamelCase_      (			self       ):
      if self.config_class.is_composition:
        return
      lowercase							    =       self.config_class()
      self.parent.assertIsNotNone(_lowerCamelCase       )







    def 			UpperCamelCase_      (			self       ):
      lowercase							    =       copy.deepcopy(_lowerCamelCase       )
      lowercase							    =       self.config_class(**_lowerCamelCase       )
      lowercase							    =       []
      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:
        lowercase							    =       '\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 			UpperCamelCase_      (			self       ):
      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()


