# INV

The INV node is based on a numpy or scipy function. The description of that function is as follows: Compute the (multiplicative) inverse of a matrix. Given a square matrix 'a', return the matrix 'ainv', satisfying "dot(a, ainv) = dot(ainv, a) = eye(a.shape[0])". Params: a : (..., M, M) array_like Matrix to be inverted. Returns: out : DataContainer type 'ordered pair', 'scalar', or 'matrix'
Python Code
from flojoy import flojoy, Matrix, Scalar
import numpy as np

import numpy.linalg

@flojoy
def INV(
default: Matrix,
) -> Matrix | Scalar:
"""The INV node is based on a numpy or scipy function.

The description of that function is as follows:

Compute the (multiplicative) inverse of a matrix.

Given a square matrix 'a', return the matrix 'ainv', satisfying "dot(a, ainv) = dot(ainv, a) = eye(a.shape[0])".

Parameters
----------
a : (..., M, M) array_like
Matrix to be inverted.

Returns
-------
DataContainer
type 'ordered pair', 'scalar', or 'matrix'
"""

result = numpy.linalg.inv(
a=default.m,
)

if isinstance(result, np.ndarray):
result = Matrix(m=result)
else:
assert isinstance(
result, np.number | float | int
), f"Expected np.number, float or int for result, got {type(result)}"
result = Scalar(c=float(result))

return result


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