
"""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

__magic_name__		       =				[[12, 10], [3, 9]]
__magic_name__		       =				[[3, 4], [7, 4]]
__magic_name__		       =				[[3, 0, 2], [2, 0, -2], [0, 1, 1]]
__magic_name__		       =				[[3, 0, -2], [2, 0, 2], [0, 1, 1]]
__magic_name__		       =				[[3, 0, 2], [2, 0, -2], [0, 1, 1], [2, 0, -2]]
__magic_name__		       =				[1]
__magic_name__		       =				[2]

__magic_name__		       =				logging.getLogger()
__magic_name__		       =				logging.DEBUG
__magic_name__		       =				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  (		UpperCamelCase__				,     UpperCamelCase__      ):


 """simple docstring"""






 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 =						(np.array(__lowerCamelCase      ) + np.array(__lowerCamelCase      )).tolist()
  _UpperCAmelCase =						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     __lowerCamelCase  (		UpperCamelCase__				,     UpperCamelCase__      ):


 """simple docstring"""






 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 =						(np.array(__lowerCamelCase      ) - np.array(__lowerCamelCase      )).tolist()
  _UpperCAmelCase =						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     __lowerCamelCase  (		UpperCamelCase__				,     UpperCamelCase__      ):


 """simple docstring"""






 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 =						(np.matmul(__lowerCamelCase				,     __lowerCamelCase      )).tolist()
  _UpperCAmelCase =						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     __lowerCamelCase  (		):


 """simple docstring"""






 _UpperCAmelCase =						(3.5 * np.array(__lowerCamelCase      )).tolist()
 _UpperCAmelCase =						matop.scalar_multiply(__lowerCamelCase				,     3.5      )
 assert theo == act




@pytest.mark.mat_ops
def     __lowerCamelCase  (		):


 """simple docstring"""






 _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  (		UpperCamelCase__      ):


 """simple docstring"""






 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 =						(np.transpose(__lowerCamelCase      )).tolist()
  _UpperCAmelCase =						matop.transpose(__lowerCamelCase				,     return_map=__lowerCamelCase      )
  assert theo == act






"""simple docstring"""
from typing import TYPE_CHECKING

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


__magic_name__		       =				{}

try:
			if not is_sentencepiece_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			__magic_name__		       =				['''CpmTokenizer''']

try:
			if not is_tokenizers_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			__magic_name__		       =				['''CpmTokenizerFast''']


if TYPE_CHECKING:
			try:
						if not is_sentencepiece_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .tokenization_cpm import CpmTokenizer

			try:
						if not is_tokenizers_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .tokenization_cpm_fast import CpmTokenizerFast

else:
			import sys

			__magic_name__		       =				_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)




