

import os
import sys
import unittest


__UpperCAmelCase    				=     os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
sys.path.append(os.path.join(git_repo_path, 'utils'))

import get_test_info  # noqa: E402
from get_test_info import (  # noqa: E402
    get_model_to_test_mapping,
    get_model_to_tester_mapping,
    get_test_to_tester_mapping,
)


__UpperCAmelCase    				=     os.path.join('tests', 'models', 'bert', 'test_modeling_bert.py')
__UpperCAmelCase    				=     os.path.join('tests', 'models', 'blip', 'test_modeling_blip.py')





class A__    ( unittest.TestCase ):



 """simple docstring"""







 def    __magic_name__       (		self :	Union[str, Any]       ):






      '''simple docstring'''




      _lowerCAmelCase   :					str        =    get_test_to_tester_mapping(A_       )
      _lowerCAmelCase   :					List[Any]        =    get_test_to_tester_mapping(A_       )

      _lowerCAmelCase   :					List[str]        =    {"BertModelTest": "BertModelTester"}

      _lowerCAmelCase   :					Union[str, Any]        =    {
          "BlipModelTest": "BlipModelTester",
          "BlipTextImageModelTest": "BlipTextImageModelsModelTester",
          "BlipTextModelTest": "BlipTextModelTester",
          "BlipTextRetrievalModelTest": "BlipTextRetrievalModelTester",
          "BlipVQAModelTest": "BlipVQAModelTester",
          "BlipVisionModelTest": "BlipVisionModelTester",
      }

      self.assertEqual(get_test_info.to_json(A_       )     ,						A_       )
      self.assertEqual(get_test_info.to_json(A_       )     ,						A_       )

 def    __magic_name__       (		self :	Any       ):






      '''simple docstring'''




      _lowerCAmelCase   :					str        =    get_model_to_test_mapping(A_       )
      _lowerCAmelCase   :					Optional[int]        =    get_model_to_test_mapping(A_       )

      _lowerCAmelCase   :					Optional[int]        =    {
          "BertForMaskedLM": ["BertModelTest"],
          "BertForMultipleChoice": ["BertModelTest"],
          "BertForNextSentencePrediction": ["BertModelTest"],
          "BertForPreTraining": ["BertModelTest"],
          "BertForQuestionAnswering": ["BertModelTest"],
          "BertForSequenceClassification": ["BertModelTest"],
          "BertForTokenClassification": ["BertModelTest"],
          "BertLMHeadModel": ["BertModelTest"],
          "BertModel": ["BertModelTest"],
      }

      _lowerCAmelCase   :					Union[str, Any]        =    {
          "BlipForConditionalGeneration": ["BlipTextImageModelTest"],
          "BlipForImageTextRetrieval": ["BlipTextRetrievalModelTest"],
          "BlipForQuestionAnswering": ["BlipVQAModelTest"],
          "BlipModel": ["BlipModelTest"],
          "BlipTextModel": ["BlipTextModelTest"],
          "BlipVisionModel": ["BlipVisionModelTest"],
      }

      self.assertEqual(get_test_info.to_json(A_       )     ,						A_       )
      self.assertEqual(get_test_info.to_json(A_       )     ,						A_       )


 def    __magic_name__       (		self :	Optional[Any]       ):






      '''simple docstring'''




      _lowerCAmelCase   :					Optional[int]        =    get_model_to_tester_mapping(A_       )
      _lowerCAmelCase   :					List[Any]        =    get_model_to_tester_mapping(A_       )

      _lowerCAmelCase   :					Optional[int]        =    {
          "BertForMaskedLM": ["BertModelTester"],
          "BertForMultipleChoice": ["BertModelTester"],
          "BertForNextSentencePrediction": ["BertModelTester"],
          "BertForPreTraining": ["BertModelTester"],
          "BertForQuestionAnswering": ["BertModelTester"],
          "BertForSequenceClassification": ["BertModelTester"],
          "BertForTokenClassification": ["BertModelTester"],
          "BertLMHeadModel": ["BertModelTester"],
          "BertModel": ["BertModelTester"],
      }

      _lowerCAmelCase   :					Optional[Any]        =    {
          "BlipForConditionalGeneration": ["BlipTextImageModelsModelTester"],
          "BlipForImageTextRetrieval": ["BlipTextRetrievalModelTester"],
          "BlipForQuestionAnswering": ["BlipVQAModelTester"],
          "BlipModel": ["BlipModelTester"],
          "BlipTextModel": ["BlipTextModelTester"],
          "BlipVisionModel": ["BlipVisionModelTester"],
      }

      self.assertEqual(get_test_info.to_json(A_       )     ,						A_       )
      self.assertEqual(get_test_info.to_json(A_       )     ,						A_       )









# Author: OMKAR PATHAK, Nwachukwu Chidiebere

# Use a Python dictionary to construct the graph.
from __future__ import annotations

from pprint import pformat
from typing import Generic, TypeVar

__UpperCAmelCase    				=     TypeVar('T')





class A__    ( Generic[T] ):



 """simple docstring"""







 def __init__(		self :	Optional[int]     ,						A_ :	bool = True       ):






      '''simple docstring'''




      _lowerCAmelCase   :					dict[T, list[T]]        =    {}  # dictionary of lists
      _lowerCAmelCase   :					List[Any]        =    directed

 def    __magic_name__       (		self :	Any     ,						A_ :	T     ,						A_ :	T       ):






      '''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(A_       )
                self.adj_list[destination_vertex].append(A_       )
           # 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(A_       )
                _lowerCAmelCase   :					List[Any]        =    [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(A_       )
                _lowerCAmelCase   :					List[str]        =    [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:
                _lowerCAmelCase   :					List[str]        =    [destination_vertex]
                _lowerCAmelCase   :					Dict        =    [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(A_       )
           # 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(A_       )
                _lowerCAmelCase   :					Tuple        =    []
           # 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:
                _lowerCAmelCase   :					Dict        =    [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:
                _lowerCAmelCase   :					Any        =    [destination_vertex]
                _lowerCAmelCase   :					Union[str, Any]        =    []

      return self


 def __repr__(		self :	List[str]       ):






      '''simple docstring'''




      return pformat(self.adj_list       )






