
'''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

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

lowerCAmelCase_			:			Optional[int]			   =     logging.getLogger()
lowerCAmelCase_			:			List[str]			   =     logging.DEBUG
lowerCAmelCase_			:			Tuple			   =     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 __A  (    lowerCAmelCase_ ,       lowerCAmelCase_       ):

     if (np.array(lowerCAmelCase_       )).shape < (2, 2) or (np.array(lowerCAmelCase_       )).shape < (2, 2):
          with pytest.raises(lowerCAmelCase_       ):
               logger.info(f"\n\t{test_addition.__name__} returned integer"       )
               matop.add(lowerCAmelCase_ ,       lowerCAmelCase_       )
     elif (np.array(lowerCAmelCase_       )).shape == (np.array(lowerCAmelCase_       )).shape:
          logger.info(f"\n\t{test_addition.__name__} with same matrix dims"       )
          _UpperCAmelCase					:  str         =    (np.array(lowerCAmelCase_       ) + np.array(lowerCAmelCase_       )).tolist()
          _UpperCAmelCase					:  Tuple         =    matop.add(lowerCAmelCase_ ,       lowerCAmelCase_       )
          assert theo == act
     else:
          with pytest.raises(lowerCAmelCase_       ):
               logger.info(f"\n\t{test_addition.__name__} with different matrix dims"       )
               matop.add(lowerCAmelCase_ ,       lowerCAmelCase_       )







@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 __A  (    lowerCAmelCase_ ,       lowerCAmelCase_       ):

     if (np.array(lowerCAmelCase_       )).shape < (2, 2) or (np.array(lowerCAmelCase_       )).shape < (2, 2):
          with pytest.raises(lowerCAmelCase_       ):
               logger.info(f"\n\t{test_subtraction.__name__} returned integer"       )
               matop.subtract(lowerCAmelCase_ ,       lowerCAmelCase_       )
     elif (np.array(lowerCAmelCase_       )).shape == (np.array(lowerCAmelCase_       )).shape:
          logger.info(f"\n\t{test_subtraction.__name__} with same matrix dims"       )
          _UpperCAmelCase					:  str         =    (np.array(lowerCAmelCase_       ) - np.array(lowerCAmelCase_       )).tolist()
          _UpperCAmelCase					:  List[Any]         =    matop.subtract(lowerCAmelCase_ ,       lowerCAmelCase_       )
          assert theo == act
     else:
          with pytest.raises(lowerCAmelCase_       ):
               logger.info(f"\n\t{test_subtraction.__name__} with different matrix dims"       )
               assert matop.subtract(lowerCAmelCase_ ,       lowerCAmelCase_       )







@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 __A  (    lowerCAmelCase_ ,       lowerCAmelCase_       ):

     if (np.array(lowerCAmelCase_       )).shape < (2, 2) or (np.array(lowerCAmelCase_       )).shape < (2, 2):
          logger.info(f"\n\t{test_multiplication.__name__} returned integer"       )
          with pytest.raises(lowerCAmelCase_       ):
               matop.add(lowerCAmelCase_ ,       lowerCAmelCase_       )
     elif (np.array(lowerCAmelCase_       )).shape == (np.array(lowerCAmelCase_       )).shape:
          logger.info(f"\n\t{test_multiplication.__name__} meets dim requirements"       )
          _UpperCAmelCase					:  Union[str, Any]         =    (np.matmul(lowerCAmelCase_ ,       lowerCAmelCase_       )).tolist()
          _UpperCAmelCase					:  int         =    matop.multiply(lowerCAmelCase_ ,       lowerCAmelCase_       )
          assert theo == act
     else:
          with pytest.raises(lowerCAmelCase_       ):
               logger.info(
                   f"\n\t{test_multiplication.__name__} does not meet dim requirements"       )
               assert matop.subtract(lowerCAmelCase_ ,       lowerCAmelCase_       )







@pytest.mark.mat_ops
def __A  (    ):
     _UpperCAmelCase					:  int         =    (3.5 * np.array(lowerCAmelCase_       )).tolist()
     _UpperCAmelCase					:  Union[str, Any]         =    matop.scalar_multiply(lowerCAmelCase_ ,       3.5       )
     assert theo == act







@pytest.mark.mat_ops
def __A  (    ):
     _UpperCAmelCase					:  List[str]         =    (np.identity(5       )).tolist()
     _UpperCAmelCase					:  str         =    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 __A  (    lowerCAmelCase_       ):

     if (np.array(lowerCAmelCase_       )).shape < (2, 2):
          with pytest.raises(lowerCAmelCase_       ):
               logger.info(f"\n\t{test_transpose.__name__} returned integer"       )
               matop.transpose(lowerCAmelCase_       )
     else:
          _UpperCAmelCase					:  List[str]         =    (np.transpose(lowerCAmelCase_       )).tolist()
          _UpperCAmelCase					:  Any         =    matop.transpose(lowerCAmelCase_ ,       return_map=lowerCAmelCase_       )
          assert theo == act






import argparse
import os


UpperCAmelCase			=    {
    """pytorch""": {
        """1.13""": {
            """torch""": """1.13.1""",
            """torchvision""": """0.14.1""",
            """torchaudio""": """0.13.1""",
            """python""": 3.9,
            """cuda""": """cu116""",
            """install""": (
                """python3 -m pip install --no-cache-dir -U torch==1.13.1 torchvision==0.14.1 torchaudio==0.13.1"""
                """ --extra-index-url https://download.pytorch.org/whl/cu116"""
            ),
            """base_image""": """nvidia/cuda:11.6.2-cudnn8-devel-ubuntu20.04""",
        },
        """1.12""": {
            """torch""": """1.12.1""",
            """torchvision""": """0.13.1""",
            """torchaudio""": """0.12.1""",
            """python""": 3.9,
            """cuda""": """cu113""",
            """install""": (
                """python3 -m pip install --no-cache-dir -U torch==1.12.1 torchvision==0.13.1 torchaudio==0.12.1"""
                """ --extra-index-url https://download.pytorch.org/whl/cu113"""
            ),
            """base_image""": """nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04""",
        },
        """1.11""": {
            """torch""": """1.11.0""",
            """torchvision""": """0.12.0""",
            """torchaudio""": """0.11.0""",
            """python""": 3.9,
            """cuda""": """cu113""",
            """install""": (
                """python3 -m pip install --no-cache-dir -U torch==1.11.0 torchvision==0.12.0 torchaudio==0.11.0"""
                """ --extra-index-url https://download.pytorch.org/whl/cu113"""
            ),
            """base_image""": """nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04""",
        },
        """1.10""": {
            """torch""": """1.10.2""",
            """torchvision""": """0.11.3""",
            """torchaudio""": """0.10.2""",
            """python""": 3.9,
            """cuda""": """cu113""",
            """install""": (
                """python3 -m pip install --no-cache-dir -U torch==1.10.2 torchvision==0.11.3 torchaudio==0.10.2"""
                """ --extra-index-url https://download.pytorch.org/whl/cu113"""
            ),
            """base_image""": """nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04""",
        },
        # torchaudio < 0.10 has no CUDA-enabled binary distributions
        """1.9""": {
            """torch""": """1.9.1""",
            """torchvision""": """0.10.1""",
            """torchaudio""": """0.9.1""",
            """python""": 3.9,
            """cuda""": """cu111""",
            """install""": (
                """python3 -m pip install --no-cache-dir -U torch==1.9.1 torchvision==0.10.1 torchaudio==0.9.1"""
                """ --extra-index-url https://download.pytorch.org/whl/cu111"""
            ),
            """base_image""": """nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04""",
        },
    },
    """tensorflow""": {
        """2.11""": {
            """tensorflow""": """2.11.1""",
            """install""": """python3 -m pip install --no-cache-dir -U tensorflow==2.11.1""",
            """base_image""": """nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04""",
        },
        """2.10""": {
            """tensorflow""": """2.10.1""",
            """install""": """python3 -m pip install --no-cache-dir -U tensorflow==2.10.1""",
            """base_image""": """nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04""",
        },
        """2.9""": {
            """tensorflow""": """2.9.3""",
            """install""": """python3 -m pip install --no-cache-dir -U tensorflow==2.9.3""",
            """base_image""": """nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04""",
        },
        """2.8""": {
            """tensorflow""": """2.8.2""",
            """install""": """python3 -m pip install --no-cache-dir -U tensorflow==2.8.2""",
            """base_image""": """nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04""",
        },
        """2.7""": {
            """tensorflow""": """2.7.3""",
            """install""": """python3 -m pip install --no-cache-dir -U tensorflow==2.7.3""",
            """base_image""": """nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04""",
        },
        """2.6""": {
            """tensorflow""": """2.6.5""",
            """install""": """python3 -m pip install --no-cache-dir -U tensorflow==2.6.5""",
            """base_image""": """nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04""",
        },
        """2.5""": {
            """tensorflow""": """2.5.3""",
            """install""": """python3 -m pip install --no-cache-dir -U tensorflow==2.5.3""",
            """base_image""": """nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04""",
        },
    },
}


if __name__ == "__main__":
   UpperCAmelCase			=    argparse.ArgumentParser("""Choose the framework and version to install""")
   parser.add_argument(
       """--framework""", help="""The framework to install. Should be `torch` or `tensorflow`""", type=str, required=True
   )
   parser.add_argument("""--version""", help="""The version of the framework to install.""", type=str, required=True)
   UpperCAmelCase			=    parser.parse_args()

   UpperCAmelCase			=    past_versions_testing[args.framework][args.version]

   os.system(f'''echo "export INSTALL_CMD=\'{info['install']}\'" >> ~/.profile''')
   print(f'''echo "export INSTALL_CMD=\'{info['install']}\'" >> ~/.profile''')

   UpperCAmelCase			=    """"""
   if args.framework == "pytorch":
      UpperCAmelCase			=    info["""cuda"""]
   os.system(f'''echo \"export CUDA=\'{cuda}\'\" >> ~/.profile''')
   print(f'''echo \"export CUDA=\'{cuda}\'\" >> ~/.profile''')