

'''simple docstring'''




import logging

# standard libraries
import sys

import numpy as np
import pytest  # type: ignore

# Custom/local libraries
from matrix import matrix_operation as matop

_a				: Tuple 							=						[[12, 10], [3, 9]]
_a				: Optional[Any] 							=						[[3, 4], [7, 4]]
_a				: Union[str, Any] 							=						[[3, 0, 2], [2, 0, -2], [0, 1, 1]]
_a				: Union[str, Any] 							=						[[3, 0, -2], [2, 0, 2], [0, 1, 1]]
_a				: Dict 							=						[[3, 0, 2], [2, 0, -2], [0, 1, 1], [2, 0, -2]]
_a				: List[str] 							=						[1]
_a				: Tuple 							=						[2]

_a				: Any 							=						logging.getLogger()
_a				: Tuple 							=						logging.DEBUG
_a				: Any 							=						logging.StreamHandler(sys.stdout)
logger.addHandler(stream_handler)


@pytest.mark.mat_ops
@pytest.mark.parametrize(
    ('mat1', 'mat2')       ,   [(mat_a, mat_b), (mat_c, mat_d), (mat_d, mat_e), (mat_f, mat_h)]						)
def       lowerCamelCase__		(						SCREAMING_SNAKE_CASE      :   Any       ,   SCREAMING_SNAKE_CASE      :   List[Any]						):



  if (np.array(__A						)).shape < (2, 2) or (np.array(__A						)).shape < (2, 2):
    with pytest.raises(__A						):
      logger.info(f'''\n\t{test_addition.__name__} returned integer'''						)
      matop.add(__A       ,   __A						)
  elif (np.array(__A						)).shape == (np.array(__A						)).shape:
    logger.info(f'''\n\t{test_addition.__name__} with same matrix dims'''						)
    UpperCAmelCase													=	(np.array(__A						) + np.array(__A						)).tolist()
    UpperCAmelCase													=	matop.add(__A       ,   __A						)
    assert theo == act
  else:
    with pytest.raises(__A						):
      logger.info(f'''\n\t{test_addition.__name__} with different matrix dims'''						)
      matop.add(__A       ,   __A						)


@pytest.mark.mat_ops
@pytest.mark.parametrize(
    ('mat1', 'mat2')       ,   [(mat_a, mat_b), (mat_c, mat_d), (mat_d, mat_e), (mat_f, mat_h)]						)
def       lowerCamelCase__		(						SCREAMING_SNAKE_CASE      :   int       ,   SCREAMING_SNAKE_CASE      :   List[str]						):



  if (np.array(__A						)).shape < (2, 2) or (np.array(__A						)).shape < (2, 2):
    with pytest.raises(__A						):
      logger.info(f'''\n\t{test_subtraction.__name__} returned integer'''						)
      matop.subtract(__A       ,   __A						)
  elif (np.array(__A						)).shape == (np.array(__A						)).shape:
    logger.info(f'''\n\t{test_subtraction.__name__} with same matrix dims'''						)
    UpperCAmelCase													=	(np.array(__A						) - np.array(__A						)).tolist()
    UpperCAmelCase													=	matop.subtract(__A       ,   __A						)
    assert theo == act
  else:
    with pytest.raises(__A						):
      logger.info(f'''\n\t{test_subtraction.__name__} with different matrix dims'''						)
      assert matop.subtract(__A       ,   __A						)


@pytest.mark.mat_ops
@pytest.mark.parametrize(
    ('mat1', 'mat2')       ,   [(mat_a, mat_b), (mat_c, mat_d), (mat_d, mat_e), (mat_f, mat_h)]						)
def       lowerCamelCase__		(						SCREAMING_SNAKE_CASE      :   List[Any]       ,   SCREAMING_SNAKE_CASE      :   str						):



  if (np.array(__A						)).shape < (2, 2) or (np.array(__A						)).shape < (2, 2):
    logger.info(f'''\n\t{test_multiplication.__name__} returned integer'''						)
    with pytest.raises(__A						):
      matop.add(__A       ,   __A						)
  elif (np.array(__A						)).shape == (np.array(__A						)).shape:
    logger.info(f'''\n\t{test_multiplication.__name__} meets dim requirements'''						)
    UpperCAmelCase													=	(np.matmul(__A       ,   __A						)).tolist()
    UpperCAmelCase													=	matop.multiply(__A       ,   __A						)
    assert theo == act
  else:
    with pytest.raises(__A						):
      logger.info(
          f'''\n\t{test_multiplication.__name__} does not meet dim requirements'''						)
      assert matop.subtract(__A       ,   __A						)


@pytest.mark.mat_ops
def       lowerCamelCase__		(						):
  UpperCAmelCase													=	(3.5 * np.array(__A						)).tolist()
  UpperCAmelCase													=	matop.scalar_multiply(__A       ,   3.5						)
  assert theo == act


@pytest.mark.mat_ops
def       lowerCamelCase__		(						):
  UpperCAmelCase													=	(np.identity(5						)).tolist()
  UpperCAmelCase													=	matop.identity(5						)
  assert theo == act



@pytest.mark.mat_ops
@pytest.mark.parametrize('mat'       ,   [mat_a, mat_b, mat_c, mat_d, mat_e, mat_f]						)
def       lowerCamelCase__		(						SCREAMING_SNAKE_CASE      :   Dict						):



  if (np.array(__A						)).shape < (2, 2):
    with pytest.raises(__A						):
      logger.info(f'''\n\t{test_transpose.__name__} returned integer'''						)
      matop.transpose(__A						)
  else:
    UpperCAmelCase													=	(np.transpose(__A						)).tolist()
    UpperCAmelCase													=	matop.transpose(__A       ,   return_map=__A						)
    assert theo == act





'''simple docstring'''




from collections import OrderedDict
from dataclasses import fields
from typing import Any, Tuple

import numpy as np

from .import_utils import is_torch_available


def       lowerCamelCase__		(						SCREAMING_SNAKE_CASE      :   Optional[Any]						):
  if is_torch_available():
    import torch

    if isinstance(SCREAMING_SNAKE_CASE       ,   torch.Tensor						):
      return True

  return isinstance(SCREAMING_SNAKE_CASE       ,   np.ndarray						)



class        lowercase_	(		a ):

  '''simple docstring'''





  def 						snake_case_			(     self     )							->				List[str]:


    """simple docstring"""
    UpperCAmelCase													=	fields(self     )

    # Safety and consistency checks
    if not len(a_     ):
      raise ValueError(F'''{self.__class__.__name__} has no fields.'''     )

    UpperCAmelCase													=	getattr(self   , class_fields[0].name     )
    UpperCAmelCase													=	all(getattr(self   , field.name     ) is None for field in class_fields[1:]     )

    if other_fields_are_none and isinstance(a_   , a_     ):
      for key, value in first_field.items():
        UpperCAmelCase													=	value
    else:
      for field in class_fields:
        UpperCAmelCase													=	getattr(self   , field.name     )
        if v is not None:
          UpperCAmelCase													=	v
  def __delitem__(     self   , *a_   , **a_     )							->				int:


    """simple docstring"""
    raise Exception(F'''You cannot use ``__delitem__`` on a {self.__class__.__name__} instance.'''     )
  def 						snake_case_			(     self   , *a_   , **a_     )							->				Tuple:


    """simple docstring"""
    raise Exception(F'''You cannot use ``setdefault`` on a {self.__class__.__name__} instance.'''     )
  def 						snake_case_			(     self   , *a_   , **a_     )							->				int:


    """simple docstring"""
    raise Exception(F'''You cannot use ``pop`` on a {self.__class__.__name__} instance.'''     )
  def 						snake_case_			(     self   , *a_   , **a_     )							->				Dict:


    """simple docstring"""
    raise Exception(F'''You cannot use ``update`` on a {self.__class__.__name__} instance.'''     )
  def __getitem__(     self   , a_     )							->				Tuple:


    """simple docstring"""
    if isinstance(a_   , a_     ):
      UpperCAmelCase													=	dict(self.items()     )
      return inner_dict[k]
    else:
      return self.to_tuple()[k]
  def __setattr__(     self   , a_   , a_     )							->				Dict:


    """simple docstring"""
    if name in self.keys() and value is not None:
      # Don't call self.__setitem__ to avoid recursion errors
      super().__setitem__(a_   , a_     )
    super().__setattr__(a_   , a_     )
  def __setitem__(     self   , a_   , a_     )							->				str:


    """simple docstring"""
    # Will raise a KeyException if needed
    super().__setitem__(a_   , a_     )
    # Don't call self.__setattr__ to avoid recursion errors
    super().__setattr__(a_   , a_     )





  def 						snake_case_			(     self     )							->				Tuple[Any]:


    """simple docstring"""
    return tuple(self[k] for k in self.keys()     )


