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

UpperCAmelCase__	:  Optional[Any]      =   logging.getLogger()
UpperCAmelCase__	:  str      =   logging.DEBUG
UpperCAmelCase__	:  Dict      =   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	,	a   )   ->     int:
   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"""   )
      _A:						int	    = (np.array(a   ) + np.array(a   )).tolist()
      _A:						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	,	a   )   ->     Optional[int]:
   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"""   )
      _A:						str	    = (np.array(a   ) - np.array(a   )).tolist()
      _A:						Union[str, Any]	    = 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	,	a   )   ->     Optional[int]:
   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"""   )
      _A:						Optional[int]	    = (np.matmul(a	,	a   )).tolist()
      _A:						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__							(      )   ->     Dict:
   _A:						Dict	    = (3.5 * np.array(a   )).tolist()
   _A:						int	    = matop.scalar_multiply(a	,	3.5   )
   assert theo == act






@pytest.mark.mat_ops
def 						lowerCamelCase__							(      )   ->     str:
   _A:						Optional[Any]	    = (np.identity(5   )).tolist()
   _A:						Optional[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   )   ->     str:
   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:
      _A:						Tuple	    = (np.transpose(a   )).tolist()
      _A:						Optional[int]	    = matop.transpose(a	,	return_map=a   )
      assert theo == act





# this script builds a small sample spm file tests/fixtures/test_sentencepiece_no_bos.model, with features needed by pegasus

# 1. pip install sentencepiece
#
# 2. wget https://raw.githubusercontent.com/google/sentencepiece/master/data/botchan.txt

# 3. build
import sentencepiece as spm

# pegasus:
# 1. no bos
# 2. eos_id is 1
# 3. unk_id is 2
# build a sample spm file accordingly
spm.SentencePieceTrainer.train(
    '--input=botchan.txt --model_prefix=test_sentencepiece_no_bos --bos_id=-1 --unk_id=2  --eos_id=1  --vocab_size=1000'
)

# 4. now update the fixture
# mv test_sentencepiece_no_bos.model ../../tests/fixtures/



