



'''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

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

SCREAMING_SNAKE_CASE__     : Tuple				=   logging.getLogger()
SCREAMING_SNAKE_CASE__     : Any				=   logging.DEBUG
SCREAMING_SNAKE_CASE__     : List[str]				=   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  SCREAMING_SNAKE_CASE__ (				SCREAMING_SNAKE_CASE ,		SCREAMING_SNAKE_CASE     ):
		if (np.array(SCREAMING_SNAKE_CASE     )).shape < (2, 2) or (np.array(SCREAMING_SNAKE_CASE     )).shape < (2, 2):
				with pytest.raises(SCREAMING_SNAKE_CASE     ):
						logger.info(F'\n\t{test_addition.__name__} returned integer'     )
						matop.add(SCREAMING_SNAKE_CASE ,		SCREAMING_SNAKE_CASE     )
		elif (np.array(SCREAMING_SNAKE_CASE     )).shape == (np.array(SCREAMING_SNAKE_CASE     )).shape:
				logger.info(F'\n\t{test_addition.__name__} with same matrix dims'     )
				SCREAMING_SNAKE_CASE_						:List[Any]										=      (np.array(SCREAMING_SNAKE_CASE     ) + np.array(SCREAMING_SNAKE_CASE     )).tolist()
				SCREAMING_SNAKE_CASE_						:int										=      matop.add(SCREAMING_SNAKE_CASE ,		SCREAMING_SNAKE_CASE     )
				assert theo == act
		else:
				with pytest.raises(SCREAMING_SNAKE_CASE     ):
						logger.info(F'\n\t{test_addition.__name__} with different matrix dims'     )
						matop.add(SCREAMING_SNAKE_CASE ,		SCREAMING_SNAKE_CASE     )







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







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







@pytest.mark.mat_ops
def  SCREAMING_SNAKE_CASE__ (				):
		SCREAMING_SNAKE_CASE_						:str										=      (3.5 * np.array(SCREAMING_SNAKE_CASE     )).tolist()
		SCREAMING_SNAKE_CASE_						:Union[str, Any]										=      matop.scalar_multiply(SCREAMING_SNAKE_CASE ,		3.5     )
		assert theo == act







@pytest.mark.mat_ops
def  SCREAMING_SNAKE_CASE__ (				):
		SCREAMING_SNAKE_CASE_						:Optional[int]										=      (np.identity(5     )).tolist()
		SCREAMING_SNAKE_CASE_						: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  SCREAMING_SNAKE_CASE__ (				SCREAMING_SNAKE_CASE     ):
		if (np.array(SCREAMING_SNAKE_CASE     )).shape < (2, 2):
				with pytest.raises(SCREAMING_SNAKE_CASE     ):
						logger.info(F'\n\t{test_transpose.__name__} returned integer'     )
						matop.transpose(SCREAMING_SNAKE_CASE     )
		else:
				SCREAMING_SNAKE_CASE_						:Union[str, Any]										=      (np.transpose(SCREAMING_SNAKE_CASE     )).tolist()
				SCREAMING_SNAKE_CASE_						:Dict										=      matop.transpose(SCREAMING_SNAKE_CASE ,		return_map=SCREAMING_SNAKE_CASE     )
				assert theo == act





'''simple docstring'''







from typing import TYPE_CHECKING

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


SCREAMING_SNAKE_CASE__     : int				=   {"""configuration_bert_generation""": ["""BertGenerationConfig"""]}

try:
							if not is_sentencepiece_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							SCREAMING_SNAKE_CASE__     : List[Any]				=   ["""BertGenerationTokenizer"""]

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							SCREAMING_SNAKE_CASE__     : Optional[Any]				=   [
							    """BertGenerationDecoder""",
							    """BertGenerationEncoder""",
							    """BertGenerationPreTrainedModel""",
							    """load_tf_weights_in_bert_generation""",
							]


if TYPE_CHECKING:
							from .configuration_bert_generation import BertGenerationConfig

							try:
														if not is_sentencepiece_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .tokenization_bert_generation import BertGenerationTokenizer

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_bert_generation import (
														    BertGenerationDecoder,
														    BertGenerationEncoder,
														    BertGenerationPreTrainedModel,
														    load_tf_weights_in_bert_generation,
														)

else:
							import sys

							SCREAMING_SNAKE_CASE__     : Any				=   _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)
