





import os
import sys
import unittest


_lowerCamelCase      							=   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,
)


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







class       __A							(   unittest.TestCase	):




      """simple docstring"""







      def 					__snake_case      (		self):



             """simple docstring"""





             _lowerCamelCase				:  List[Any]						=		get_test_to_tester_mapping(a__)
             _lowerCamelCase				:  Optional[int]						=		get_test_to_tester_mapping(a__)

             _lowerCamelCase				:  int						=		{'''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 					__snake_case      (		self):



             """simple docstring"""





             _lowerCamelCase				:  int						=		get_model_to_test_mapping(a__)
             _lowerCamelCase				:  Optional[Any]						=		get_model_to_test_mapping(a__)

             _lowerCamelCase				:  List[str]						=		{
                 '''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 					__snake_case      (		self):



             """simple docstring"""





             _lowerCamelCase				:  Tuple						=		get_model_to_tester_mapping(a__)
             _lowerCamelCase				:  List[Any]						=		get_model_to_tester_mapping(a__)

             _lowerCamelCase				:  str						=		{
                 '''BertForMaskedLM''': ['''BertModelTester'''],
                 '''BertForMultipleChoice''': ['''BertModelTester'''],
                 '''BertForNextSentencePrediction''': ['''BertModelTester'''],
                 '''BertForPreTraining''': ['''BertModelTester'''],
                 '''BertForQuestionAnswering''': ['''BertModelTester'''],
                 '''BertForSequenceClassification''': ['''BertModelTester'''],
                 '''BertForTokenClassification''': ['''BertModelTester'''],
                 '''BertLMHeadModel''': ['''BertModelTester'''],
                 '''BertModel''': ['''BertModelTester'''],
             }

             _lowerCamelCase				:  List[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__)








import doctest
from collections import deque

import numpy as np







class       __A							:




      """simple docstring"""







      def __init__(		self):



             """simple docstring"""





             _lowerCamelCase				:  Any						=		[2, 1, 2, -1]
             _lowerCamelCase				:  Optional[int]						=		[1, 2, 3, 4]



      def 					__snake_case      (		self):



             """simple docstring"""





             _lowerCamelCase				:  Optional[int]						=		len(self.first_signal)
             _lowerCamelCase				:  str						=		len(self.second_signal)

             _lowerCamelCase				:  str						=		max(a__   ,				a__)

             # create a zero matrix of max_length x max_length
             _lowerCamelCase				:  Optional[Any]						=		[[0] * max_length for i in range(a__)]

             # fills the smaller signal with zeros to make both signals of same length
             if length_first_signal < length_second_signal:
                    self.first_signal += [0] * (max_length - length_first_signal)
             elif length_first_signal > length_second_signal:
                    self.second_signal += [0] * (max_length - length_second_signal)
             for i in range(a__):
                    _lowerCamelCase				:  Optional[Any]						=		deque(self.second_signal)
                    rotated_signal.rotate(a__)
                    for j, item in enumerate(a__):
                           matrix[i][j] += item

        # multiply the matrix with the first signal
             _lowerCamelCase				:  List[Any]						=		np.matmul(np.transpose(a__)   ,				np.transpose(self.first_signal))

             # rounding-off to two decimal places
             return [round(a__   ,				2) for i in final_signal]


if __name__ == "__main__":
       doctest.testmod()

