'''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

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

_UpperCamelCase				:		Any       			=		logging.getLogger()
_UpperCamelCase				:		Union[str, 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 						__snake_case (       lowerCAmelCase       :     str      ,  lowerCAmelCase       :     List[Any]			):



	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 						__snake_case (       lowerCAmelCase       :     Dict      ,  lowerCAmelCase       :     str			):



	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 						__snake_case (       lowerCAmelCase       :     List[Any]      ,  lowerCAmelCase       :     Optional[Any]			):



	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 						__snake_case (       ):
	__UpperCAmelCase         =					(3.5 * np.array(lowerCAmelCase			)).tolist()
	__UpperCAmelCase         =					matop.scalar_multiply(lowerCAmelCase      ,  3.5			)
	assert theo == act



@pytest.mark.mat_ops
def 						__snake_case (       ):
	__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 						__snake_case (       lowerCAmelCase       :     str			):



	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'''




import os

from packaging import version

from .. import __version__
from .accelerate_utils import apply_forward_hook
from .constants import (
    CONFIG_NAME,
    DEPRECATED_REVISION_ARGS,
    DIFFUSERS_CACHE,
    DIFFUSERS_DYNAMIC_MODULE_NAME,
    FLAX_WEIGHTS_NAME,
    HF_MODULES_CACHE,
    HUGGINGFACE_CO_RESOLVE_ENDPOINT,
    ONNX_EXTERNAL_WEIGHTS_NAME,
    ONNX_WEIGHTS_NAME,
    SAFETENSORS_WEIGHTS_NAME,
    TEXT_ENCODER_ATTN_MODULE,
    WEIGHTS_NAME,
)
from .deprecation_utils import deprecate
from .doc_utils import replace_example_docstring
from .dynamic_modules_utils import get_class_from_dynamic_module
from .hub_utils import (
    HF_HUB_OFFLINE,
    _add_variant,
    _get_model_file,
    extract_commit_hash,
    http_user_agent,
)
from .import_utils import (
    BACKENDS_MAPPING,
    ENV_VARS_TRUE_AND_AUTO_VALUES,
    ENV_VARS_TRUE_VALUES,
    USE_JAX,
    USE_TF,
    USE_TORCH,
    DummyObject,
    OptionalDependencyNotAvailable,
    is_accelerate_available,
    is_accelerate_version,
    is_bsa_available,
    is_flax_available,
    is_ftfy_available,
    is_inflect_available,
    is_invisible_watermark_available,
    is_k_diffusion_available,
    is_k_diffusion_version,
    is_librosa_available,
    is_note_seq_available,
    is_omegaconf_available,
    is_onnx_available,
    is_safetensors_available,
    is_scipy_available,
    is_tensorboard_available,
    is_tf_available,
    is_torch_available,
    is_torch_version,
    is_torchsde_available,
    is_transformers_available,
    is_transformers_version,
    is_unidecode_available,
    is_wandb_available,
    is_xformers_available,
    requires_backends,
)
from .logging import get_logger
from .outputs import BaseOutput
from .pil_utils import PIL_INTERPOLATION, numpy_to_pil, pt_to_pil
from .torch_utils import is_compiled_module, randn_tensor


if is_torch_available():
     from .testing_utils import (
         floats_tensor,
         load_hf_numpy,
         load_image,
         load_numpy,
         load_pt,
         nightly,
         parse_flag_from_env,
         print_tensor_test,
         require_torch_a,
         require_torch_gpu,
         skip_mps,
         slow,
         torch_all_close,
         torch_device,
     )
     from .torch_utils import maybe_allow_in_graph

from .testing_utils import export_to_gif, export_to_video


_UpperCamelCase				:		List[Any]       			=		get_logger(__name__)



def 						__snake_case (       lowerCAmelCase       :     List[str]			):
 if version.parse(lowerCAmelCase			) < version.parse(lowerCAmelCase			):
  if "dev" in min_version:
   __UpperCAmelCase         =					(
       'This example requires a source install from HuggingFace diffusers (see '
       '`https://huggingface.co/docs/diffusers/installation#install-from-source`),'
   )
  else:
   __UpperCAmelCase         =					F"""This example requires a minimum version of {min_version},"""
  error_message += F""" but the version found is {__version__}.\n"""
  raise ImportError(lowerCAmelCase			)



