





import logging

# standard libraries
import sys

import numpy as np
import pytest  # type: ignore

# Custom/local libraries
from matrix import matrix_operation as matop

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

UpperCAmelCase_       : List[Any]							=    logging.getLogger()
UpperCAmelCase_       : Any							=    logging.DEBUG
UpperCAmelCase_       : List[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			(	_a :       Optional[Any]       , _a :       Union[str, Any]      )						->      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'      )
          lowerCAmelCase_       :							Union[str, Any]			 =		(np.array(_a      ) + np.array(_a      )).tolist()
          lowerCAmelCase_       :							int			 =		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			(	_a :       Union[str, Any]       , _a :       Any      )						->      Optional[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_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'      )
          lowerCAmelCase_       :							List[Any]			 =		(np.array(_a      ) - np.array(_a      )).tolist()
          lowerCAmelCase_       :							str			 =		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			(	_a :       List[str]       , _a :       Dict      )						->      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'      )
          lowerCAmelCase_       :							str			 =		(np.matmul(_a       , _a      )).tolist()
          lowerCAmelCase_       :							Optional[int]			 =		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			(	)						->      str:
     lowerCAmelCase_       :							Union[str, Any]			 =		(3.5 * np.array(_a      )).tolist()
     lowerCAmelCase_       :							Tuple			 =		matop.scalar_multiply(_a       , 3.5      )
     assert theo == act






@pytest.mark.mat_ops
def 				_lowerCAmelCase			(	)						->      Dict:
     lowerCAmelCase_       :							Optional[Any]			 =		(np.identity(5      )).tolist()
     lowerCAmelCase_       :							Any			 =		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			(	_a :       Union[str, Any]      )						->      int:
     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:
          lowerCAmelCase_       :							List[str]			 =		(np.transpose(_a      )).tolist()
          lowerCAmelCase_       :							List[str]			 =		matop.transpose(_a       , return_map=_a      )
          assert theo == act







from typing import TYPE_CHECKING

from ....utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


UpperCAmelCase_       : List[Any]							=    {
    """configuration_retribert""": ["""RETRIBERT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """RetriBertConfig"""],
    """tokenization_retribert""": ["""RetriBertTokenizer"""],
}

try:
      if not is_tokenizers_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      UpperCAmelCase_       : str							=    ["""RetriBertTokenizerFast"""]

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      UpperCAmelCase_       : Optional[Any]							=    [
          """RETRIBERT_PRETRAINED_MODEL_ARCHIVE_LIST""",
          """RetriBertModel""",
          """RetriBertPreTrainedModel""",
      ]


if TYPE_CHECKING:
      from .configuration_retribert import RETRIBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, RetriBertConfig
      from .tokenization_retribert import RetriBertTokenizer

      try:
            if not is_tokenizers_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .tokenization_retribert_fast import RetriBertTokenizerFast

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_retribert import (
                RETRIBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
                RetriBertModel,
                RetriBertPreTrainedModel,
            )

else:
      import sys

      UpperCAmelCase_       : Tuple							=    _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)
