






import contextlib
import importlib
import io
import unittest

import transformers

# Try to import everything from transformers to ensure every object can be loaded.
from transformers import *  # noqa F406
from transformers.testing_utils import DUMMY_UNKNOWN_IDENTIFIER, require_flax, require_tf, require_torch
from transformers.utils import ContextManagers, find_labels, is_flax_available, is_tf_available, is_torch_available


if is_torch_available():
 from transformers import BertForPreTraining, BertForQuestionAnswering, BertForSequenceClassification

if is_tf_available():
 from transformers import TFBertForPreTraining, TFBertForQuestionAnswering, TFBertForSequenceClassification

if is_flax_available():
 from transformers import FlaxBertForPreTraining, FlaxBertForQuestionAnswering, FlaxBertForSequenceClassification


_a    :   int        =			DUMMY_UNKNOWN_IDENTIFIER
# An actual model hosted on huggingface.co

_a    :   Any        =			"""main"""
# Default branch name
_a    :   Optional[int]        =			"""f2c752cfc5c0ab6f4bdec59acea69eefbee381c2"""
# One particular commit (not the top of `main`)
_a    :   str        =			"""aaaaaaa"""
# This commit does not exist, so we should 404.

_a    :   Optional[Any]        =			"""d9e9f15bc825e4b2c9249e9578f884bbcb5e3684"""
# Sha-1 of config.json on the top of `main`, for checking purposes
_a    :   Dict        =			"""4b243c475af8d0a7754e87d7d096c92e5199ec2fe168a2ee7998e3b8e9bcb1d3"""


@contextlib.contextmanager
def 				snake_case__							(							):
    print("Welcome!"       )
    yield
    print("Bye!"       )


@contextlib.contextmanager
def 				snake_case__							(							):
    print("Bonjour!"       )
    yield
    print("Au revoir!"       )







class 	_UpperCAmelCase  (  unittest.TestCase		):




      """simple docstring"""



      def 			snake_case_      (   self		):



          '''simple docstring'''
          # If the spec is missing, importlib would not be able to import the module dynamically.
          assert transformers.__spec__ is not None
          assert importlib.util.find_spec("transformers"		) is not None







class 	_UpperCAmelCase  (  unittest.TestCase		):




      """simple docstring"""



      @unittest.mock.patch("sys.stdout"    ,	new_callable=io.StringIO		)
      def 			snake_case_      (   self    ,	_lowerCAmelCase		):



          '''simple docstring'''
          with ContextManagers([]		):
              print("Transformers are awesome!"		)
          # The print statement adds a new line at the end of the output
          self.assertEqual(mock_stdout.getvalue()    ,	"Transformers are awesome!\n"		)
      @unittest.mock.patch("sys.stdout"    ,	new_callable=io.StringIO		)
      def 			snake_case_      (   self    ,	_lowerCAmelCase		):



          '''simple docstring'''
          with ContextManagers([context_en()]		):
              print("Transformers are awesome!"		)
          # The output should be wrapped with an English welcome and goodbye
          self.assertEqual(mock_stdout.getvalue()    ,	"Welcome!\nTransformers are awesome!\nBye!\n"		)
      @unittest.mock.patch("sys.stdout"    ,	new_callable=io.StringIO		)
      def 			snake_case_      (   self    ,	_lowerCAmelCase		):



          '''simple docstring'''
          with ContextManagers([context_fr(), context_en()]		):
              print("Transformers are awesome!"		)
          # The output should be wrapped with an English and French welcome and goodbye
          self.assertEqual(mock_stdout.getvalue()    ,	"Bonjour!\nWelcome!\nTransformers are awesome!\nBye!\nAu revoir!\n"		)
      @require_torch
      def 			snake_case_      (   self		):



          '''simple docstring'''
          self.assertEqual(find_labels(_lowerCAmelCase		)    ,	["labels"]		)
          self.assertEqual(find_labels(_lowerCAmelCase		)    ,	["labels", "next_sentence_label"]		)
          self.assertEqual(find_labels(_lowerCAmelCase		)    ,	["start_positions", "end_positions"]		)







          class 	_UpperCAmelCase  (  _A		):




                """simple docstring"""



                pass





          self.assertEqual(find_labels(_lowerCAmelCase		)    ,	["labels"]		)
      @require_tf
      def 			snake_case_      (   self		):



          '''simple docstring'''
          self.assertEqual(find_labels(_lowerCAmelCase		)    ,	["labels"]		)
          self.assertEqual(find_labels(_lowerCAmelCase		)    ,	["labels", "next_sentence_label"]		)
          self.assertEqual(find_labels(_lowerCAmelCase		)    ,	["start_positions", "end_positions"]		)







          class 	_UpperCAmelCase  (  _A		):




                """simple docstring"""



                pass





          self.assertEqual(find_labels(_lowerCAmelCase		)    ,	["labels"]		)



      @require_flax
      def 			snake_case_      (   self		):



          '''simple docstring'''
          # Flax models don't have labels
          self.assertEqual(find_labels(_lowerCAmelCase		)    ,	[]		)
          self.assertEqual(find_labels(_lowerCAmelCase		)    ,	[]		)
          self.assertEqual(find_labels(_lowerCAmelCase		)    ,	[]		)







          class 	_UpperCAmelCase  (  _A		):




                """simple docstring"""



                pass





          self.assertEqual(find_labels(_lowerCAmelCase		)    ,	[]		)











from __future__ import annotations

import numpy as np


def 				snake_case__							(							UpperCAmelCase							:  np.ndarray       ):
    lowerCAmelCase__							,lowerCAmelCase__   :List[str]      							=				np.shape(UpperCAmelCase       )
    if rows != columns:
        lowerCAmelCase__   :Tuple      							=				(
            "'table' has to be of square shaped array but got a "
            F'''{rows}x{columns} array:\n{table}'''
        )
        raise ValueError(UpperCAmelCase       )

    lowerCAmelCase__   :Optional[Any]      							=				np.zeros((rows, columns)       )
    lowerCAmelCase__   :Tuple      							=				np.zeros((rows, columns)       )
    for i in range(UpperCAmelCase       ):
        for j in range(UpperCAmelCase       ):
            lowerCAmelCase__   :Any      							=				sum(lower[i][k] * upper[k][j] for k in range(UpperCAmelCase       )       )
            if upper[j][j] == 0:
                raise ArithmeticError("No LU decomposition exists"       )
            lowerCAmelCase__   :Any      							=				(table[i][j] - total) / upper[j][j]
        lowerCAmelCase__   :Tuple      							=				1
        for j in range(UpperCAmelCase    ,			UpperCAmelCase       ):
            lowerCAmelCase__   :Optional[Any]      							=				sum(lower[i][k] * upper[k][j] for k in range(UpperCAmelCase       )       )
            lowerCAmelCase__   :Dict      							=				table[i][j] - total
    return lower, upper


if __name__ == "__main__":
 import doctest

 doctest.testmod()



