



'''simple docstring'''



from __future__ import annotations

import math


def 							lowercase_				(    __A :       list					,      __A :       list			)       ->      list:



 """simple docstring"""




 if len(__A			) != 2 or len(a[0]			) != 2 or len(__A			) != 2 or len(b[0]			) != 2:
  raise Exception('''Matrices are not 2x2'''			)
 lowercase					:   Optional[Any]				  =[
     [a[0][0] * b[0][0] + a[0][1] * b[1][0], a[0][0] * b[0][1] + a[0][1] * b[1][1]],
     [a[1][0] * b[0][0] + a[1][1] * b[1][0], a[1][0] * b[0][1] + a[1][1] * b[1][1]],
 ]
 return new_matrix


def 							lowercase_				(    __A :       list					,      __A :       list			)       ->      Optional[Any]:



 """simple docstring"""




 return [
     [matrix_a[row][col] + matrix_b[row][col] for col in range(len(matrix_a[row]			)			)]
     for row in range(len(__A			)			)
 ]


def 							lowercase_				(    __A :       list					,      __A :       list			)       ->      Any:



 """simple docstring"""




 return [
     [matrix_a[row][col] - matrix_b[row][col] for col in range(len(matrix_a[row]			)			)]
     for row in range(len(__A			)			)
 ]


def 							lowercase_				(    __A :       list			)       ->      tuple[list, list, list, list]:



 """simple docstring"""




 if len(__A			) % 2 != 0 or len(a[0]			) % 2 != 0:
  raise Exception('''Odd matrices are not supported!'''			)

 lowercase					:   str				  =len(__A			)
 lowercase					:   Optional[Any]				  =matrix_length // 2

 lowercase					:   str				  =[[a[i][j] for j in range(__A					,      __A			)] for i in range(__A			)]
 lowercase					:   Union[str, Any]				  =[
     [a[i][j] for j in range(__A					,      __A			)] for i in range(__A					,      __A			)
 ]

 lowercase					:   str				  =[[a[i][j] for j in range(__A			)] for i in range(__A			)]
 lowercase					:   Dict				  =[[a[i][j] for j in range(__A			)] for i in range(__A					,      __A			)]

 return top_left, top_right, bot_left, bot_right


def 							lowercase_				(    __A :       list			)       ->      tuple[int, int]:



 """simple docstring"""




 return len(__A			), len(matrix[0]			)


def 							lowercase_				(    __A :       list			)       ->      None:



 """simple docstring"""




 print('''\n'''.join(str(__A			) for line in matrix			)			)


def 							lowercase_				(    __A :       list					,      __A :       list			)       ->      list:



 """simple docstring"""




 if matrix_dimensions(__A			) == (2, 2):
  return default_matrix_multiplication(__A					,      __A			)

 lowercase					:   Any				  =split_matrix(__A			)
 lowercase					:   Optional[Any]				  =split_matrix(__A			)

 lowercase					:   Any				  =actual_strassen(__A					,      matrix_subtraction(__A					,      __A			)			)
 lowercase					:   Optional[Any]				  =actual_strassen(matrix_addition(__A					,      __A			)					,      __A			)
 lowercase					:   int				  =actual_strassen(matrix_addition(__A					,      __A			)					,      __A			)
 lowercase					:   Tuple				  =actual_strassen(__A					,      matrix_subtraction(__A					,      __A			)			)
 lowercase					:   List[Any]				  =actual_strassen(matrix_addition(__A					,      __A			)					,      matrix_addition(__A					,      __A			)			)
 lowercase					:   Any				  =actual_strassen(matrix_subtraction(__A					,      __A			)					,      matrix_addition(__A					,      __A			)			)
 lowercase					:   Optional[Any]				  =actual_strassen(matrix_subtraction(__A					,      __A			)					,      matrix_addition(__A					,      __A			)			)

 lowercase					:   Optional[int]				  =matrix_addition(matrix_subtraction(matrix_addition(__A					,      __A			)					,      __A			)					,      __A			)
 lowercase					:   Union[str, Any]				  =matrix_addition(__A					,      __A			)
 lowercase					:   Dict				  =matrix_addition(__A					,      __A			)
 lowercase					:   int				  =matrix_subtraction(matrix_subtraction(matrix_addition(__A					,      __A			)					,      __A			)					,      __A			)

 # construct the new matrix from our 4 quadrants
 lowercase					:   str				  =[]
 for i in range(len(__A			)			):
  new_matrix.append(top_left[i] + top_right[i]			)
 for i in range(len(__A			)			):
  new_matrix.append(bot_left[i] + bot_right[i]			)
 return new_matrix


def 							lowercase_				(    __A :       list					,      __A :       list			)       ->      list:



 """simple docstring"""




 if matrix_dimensions(__A			)[1] != matrix_dimensions(__A			)[0]:
  lowercase					:   Dict				  =(
      '''Unable to multiply these matrices, please check the dimensions.\n'''
      F'Matrix A: {matrixa}\n'
      F'Matrix B: {matrixa}'
  )
  raise Exception(__A			)
 lowercase					:   Dict				  =matrix_dimensions(__A			)
 lowercase					:   Optional[int]				  =matrix_dimensions(__A			)

 if dimensiona[0] == dimensiona[1] and dimensiona[0] == dimensiona[1]:
  return [matrixa, matrixa]

 lowercase					:   Optional[Any]				  =max(*__A					,      *__A			)
 lowercase					:   int				  =int(math.pow(2					,      math.ceil(math.loga(__A			)			)			)			)
 lowercase					:   List[Any]				  =matrixa
 lowercase					:   Union[str, Any]				  =matrixa

 # Adding zeros to the matrices so that the arrays dimensions are the same and also
 # power of 2
 for i in range(0					,      __A			):
  if i < dimensiona[0]:
   for _ in range(dimensiona[1]					,      __A			):
    new_matrixa[i].append(0			)
  else:
   new_matrixa.append([0] * maxim			)
  if i < dimensiona[0]:
   for _ in range(dimensiona[1]					,      __A			):
    new_matrixa[i].append(0			)
  else:
   new_matrixa.append([0] * maxim			)

 lowercase					:   Optional[int]				  =actual_strassen(__A					,      __A			)

 # Removing the additional zeros
 for i in range(0					,      __A			):
  if i < dimensiona[0]:
   for _ in range(dimensiona[1]					,      __A			):
    final_matrix[i].pop()
  else:
   final_matrix.pop()
 return final_matrix


if __name__ == "__main__":
      SCREAMING_SNAKE_CASE						=	[
          [2, 3, 4, 5],
          [6, 4, 3, 1],
          [2, 3, 6, 7],
          [3, 1, 2, 4],
          [2, 3, 4, 5],
          [6, 4, 3, 1],
          [2, 3, 6, 7],
          [3, 1, 2, 4],
          [2, 3, 4, 5],
          [6, 2, 3, 1],
      ]
      SCREAMING_SNAKE_CASE						=	[[0, 2, 1, 1], [16, 2, 3, 3], [2, 2, 7, 7], [13, 11, 22, 4]]
      print(strassen(matrixa, matrixa))











'''simple docstring'''



import subprocess
import sys

from transformers import BertConfig, BertModel, BertTokenizer, pipeline
from transformers.testing_utils import TestCasePlus, require_torch
class UpperCAmelCase_					(    __A				):




      """simple docstring"""




      @require_torch
      def 				A__      ( self			:		Tuple		)  ->  Optional[int]:


       '''simple docstring'''

       lowercase					:   Any				  ='''
from transformers import BertConfig, BertModel, BertTokenizer, pipeline
        '''

       lowercase					:   Optional[int]				  ='''
mname = "hf-internal-testing/tiny-random-bert"
BertConfig.from_pretrained(mname)
BertModel.from_pretrained(mname)
BertTokenizer.from_pretrained(mname)
pipe = pipeline(task="fill-mask", model=mname)
print("success")
        '''

       lowercase					:   Any				  ='''
import socket
def offline_socket(*args, **kwargs): raise RuntimeError("Offline mode is enabled, we shouldn\'t access internet")
socket.socket = offline_socket
        '''

       # Force fetching the files so that we can use the cache
       lowercase					:   Tuple				  ='''hf-internal-testing/tiny-random-bert'''
       BertConfig.from_pretrained(UpperCAmelCase		)
       BertModel.from_pretrained(UpperCAmelCase		)
       BertTokenizer.from_pretrained(UpperCAmelCase		)
       pipeline(task='''fill-mask'''     ,      model=UpperCAmelCase		)

       # baseline - just load from_pretrained with normal network
       lowercase					:   List[str]				  =[sys.executable, '''-c''', '''\n'''.join([load, run, mock]		)]

       # should succeed
       lowercase					:   Tuple				  =self.get_env()
       # should succeed as TRANSFORMERS_OFFLINE=1 tells it to use local files
       lowercase					:   Optional[Any]				  ='''1'''
       lowercase					:   Any				  =subprocess.run(UpperCAmelCase     ,      env=UpperCAmelCase     ,      check=UpperCAmelCase     ,      capture_output=UpperCAmelCase		)
       self.assertEqual(result.returncode     ,      0     ,      result.stderr		)
       self.assertIn('''success'''     ,      result.stdout.decode()		)






      @require_torch
      def 				A__      ( self			:		str		)  ->  List[str]:


       '''simple docstring'''

       lowercase					:   str				  ='''
from transformers import BertConfig, BertModel, BertTokenizer, pipeline
        '''

       lowercase					:   Optional[Any]				  ='''
mname = "hf-internal-testing/tiny-random-bert"
BertConfig.from_pretrained(mname)
BertModel.from_pretrained(mname)
BertTokenizer.from_pretrained(mname)
pipe = pipeline(task="fill-mask", model=mname)
print("success")
        '''

       lowercase					:   Optional[int]				  ='''
import socket
def offline_socket(*args, **kwargs): raise socket.error("Faking flaky internet")
socket.socket = offline_socket
        '''

       # Force fetching the files so that we can use the cache
       lowercase					:   Optional[Any]				  ='''hf-internal-testing/tiny-random-bert'''
       BertConfig.from_pretrained(UpperCAmelCase		)
       BertModel.from_pretrained(UpperCAmelCase		)
       BertTokenizer.from_pretrained(UpperCAmelCase		)
       pipeline(task='''fill-mask'''     ,      model=UpperCAmelCase		)

       # baseline - just load from_pretrained with normal network
       lowercase					:   Optional[Any]				  =[sys.executable, '''-c''', '''\n'''.join([load, run, mock]		)]

       # should succeed
       lowercase					:   str				  =self.get_env()
       lowercase					:   Any				  =subprocess.run(UpperCAmelCase     ,      env=UpperCAmelCase     ,      check=UpperCAmelCase     ,      capture_output=UpperCAmelCase		)
       self.assertEqual(result.returncode     ,      0     ,      result.stderr		)
       self.assertIn('''success'''     ,      result.stdout.decode()		)






      @require_torch
      def 				A__      ( self			:		Any		)  ->  Optional[Any]:


       '''simple docstring'''

       lowercase					:   Optional[Any]				  ='''
from transformers import BertConfig, BertModel, BertTokenizer
        '''

       lowercase					:   List[Any]				  ='''
mname = "hf-internal-testing/tiny-random-bert-sharded"
BertConfig.from_pretrained(mname)
BertModel.from_pretrained(mname)
print("success")
        '''

       lowercase					:   int				  ='''
import socket
def offline_socket(*args, **kwargs): raise ValueError("Offline mode is enabled")
socket.socket = offline_socket
        '''

       # baseline - just load from_pretrained with normal network
       lowercase					:   Tuple				  =[sys.executable, '''-c''', '''\n'''.join([load, run]		)]

       # should succeed
       lowercase					:   Optional[Any]				  =self.get_env()
       lowercase					:   List[Any]				  =subprocess.run(UpperCAmelCase     ,      env=UpperCAmelCase     ,      check=UpperCAmelCase     ,      capture_output=UpperCAmelCase		)
       self.assertEqual(result.returncode     ,      0     ,      result.stderr		)
       self.assertIn('''success'''     ,      result.stdout.decode()		)

       # next emulate no network
       lowercase					:   Tuple				  =[sys.executable, '''-c''', '''\n'''.join([load, mock, run]		)]

       # Doesn't fail anymore since the model is in the cache due to other tests, so commenting this.
       # env["TRANSFORMERS_OFFLINE"] = "0"
       # result = subprocess.run(cmd, env=env, check=False, capture_output=True)
       # self.assertEqual(result.returncode, 1, result.stderr)

       # should succeed as TRANSFORMERS_OFFLINE=1 tells it to use local files
       lowercase					:   Any				  ='''1'''
       lowercase					:   Optional[Any]				  =subprocess.run(UpperCAmelCase     ,      env=UpperCAmelCase     ,      check=UpperCAmelCase     ,      capture_output=UpperCAmelCase		)
       self.assertEqual(result.returncode     ,      0     ,      result.stderr		)
       self.assertIn('''success'''     ,      result.stdout.decode()		)






      @require_torch
      def 				A__      ( self			:		Tuple		)  ->  Optional[int]:


       '''simple docstring'''

       lowercase					:   Optional[int]				  ='''
from transformers import pipeline
        '''
       lowercase					:   List[Any]				  ='''
mname = "hf-internal-testing/tiny-random-bert"
pipe = pipeline(model=mname)
        '''

       lowercase					:   Tuple				  ='''
import socket
def offline_socket(*args, **kwargs): raise socket.error("Offline mode is enabled")
socket.socket = offline_socket
        '''
       lowercase					:   Tuple				  =self.get_env()
       lowercase					:   Optional[int]				  ='''1'''
       lowercase					:   Union[str, Any]				  =[sys.executable, '''-c''', '''\n'''.join([load, mock, run]		)]
       lowercase					:   Dict				  =subprocess.run(UpperCAmelCase     ,      env=UpperCAmelCase     ,      check=UpperCAmelCase     ,      capture_output=UpperCAmelCase		)
       self.assertEqual(result.returncode     ,      1     ,      result.stderr		)
       self.assertIn(
           '''You cannot infer task automatically within `pipeline` when using offline mode'''     ,      result.stderr.decode().replace('''\n'''     ,      ''''''		)     ,      )






      @require_torch
      def 				A__      ( self			:		int		)  ->  Optional[int]:


       '''simple docstring'''

       lowercase					:   List[str]				  ='''
from transformers import AutoModel
        '''
       lowercase					:   Dict				  ='''
mname = "hf-internal-testing/test_dynamic_model"
AutoModel.from_pretrained(mname, trust_remote_code=True)
print("success")
        '''

       # baseline - just load from_pretrained with normal network
       lowercase					:   Dict				  =[sys.executable, '''-c''', '''\n'''.join([load, run]		)]

       # should succeed
       lowercase					:   Optional[Any]				  =self.get_env()
       lowercase					:   int				  =subprocess.run(UpperCAmelCase     ,      env=UpperCAmelCase     ,      check=UpperCAmelCase     ,      capture_output=UpperCAmelCase		)
       self.assertEqual(result.returncode     ,      0     ,      result.stderr		)
       self.assertIn('''success'''     ,      result.stdout.decode()		)

       # should succeed as TRANSFORMERS_OFFLINE=1 tells it to use local files
       lowercase					:   List[str]				  ='''1'''
       lowercase					:   List[Any]				  =subprocess.run(UpperCAmelCase     ,      env=UpperCAmelCase     ,      check=UpperCAmelCase     ,      capture_output=UpperCAmelCase		)
       self.assertEqual(result.returncode     ,      0     ,      result.stderr		)
       self.assertIn('''success'''     ,      result.stdout.decode()		)



