# Functions from the following NumPy document
# https://numpy.org/doc/stable/reference/routines.linalg.html

# -----------------------------------------------------------------------------
# Matrix and vector products
# -----------------------------------------------------------------------------
from cupy.linalg._product import matrix_power  # NOQA

# -----------------------------------------------------------------------------
# Decompositions
# -----------------------------------------------------------------------------
from cupy.linalg._decomposition import cholesky  # NOQA
from cupy.linalg._decomposition import qr  # NOQA
from cupy.linalg._decomposition import svd  # NOQA

# -----------------------------------------------------------------------------
# Matrix eigenvalues
# -----------------------------------------------------------------------------
from cupy.linalg._eigenvalue import eigh  # NOQA
from cupy.linalg._eigenvalue import eigvalsh  # NOQA

# -----------------------------------------------------------------------------
# Norms and other numbers
# -----------------------------------------------------------------------------
from cupy.linalg._norms import norm  # NOQA
from cupy.linalg._norms import det  # NOQA
from cupy.linalg._norms import matrix_rank  # NOQA
from cupy.linalg._norms import slogdet  # NOQA

# -----------------------------------------------------------------------------
# Solving equations and inverting matrices
# -----------------------------------------------------------------------------
from cupy.linalg._solve import solve  # NOQA
from cupy.linalg._solve import tensorsolve  # NOQA
from cupy.linalg._solve import lstsq  # NOQA
from cupy.linalg._solve import inv  # NOQA
from cupy.linalg._solve import pinv  # NOQA
from cupy.linalg._solve import tensorinv  # NOQA

# -----------------------------------------------------------------------------
# Exceptions
# -----------------------------------------------------------------------------
from numpy.linalg import LinAlgError  # NOQA


__all__ = ["matrix_power", "cholesky", "qr", "svd", "eigh", "eigvalsh", "norm",
           "det", "matrix_rank", "slogdet", "solve", "tensorsolve", "inv",
           "pinv", "tensorinv", "LinAlgError"]