INVERT
Invert a Matrix or OrderedPair. If the entered value is a list of scalar, it returns the multiplciative inverse 1/x for each element of the list.
Inputs
------
default : OrderedPair|Matrix
The matrix or list of scalar to which we apply the invert. Params: rcond : float Set the rcond used to change small singular values to 0 for a more accurate result when calculating the pseuso-inverse of the matrix. Returns: out : OrderedPair|Matrix OrderedPair if the default input is an OrderedPair.
x: the y input list of values.
y: the list of inverse value of the y input.
Matrix if the default input is a Matrix.
m: the inverse matrix of the input.
Python Code
import numpy as np
from flojoy import Matrix, OrderedPair, flojoy
@flojoy
def INVERT(default: OrderedPair | Matrix, rcond: float = 1.0) -> OrderedPair | Matrix:
"""Invert a Matrix or OrderedPair.
If the entered value is a list of scalar, it returns the multiplciative inverse 1/x for each element of the list.
Inputs
------
default : OrderedPair|Matrix
The matrix or list of scalar to which we apply the invert.
Parameters
----------
rcond : float
Set the rcond used to change small singular values to 0 for a more accurate result when calculating the pseuso-inverse of the matrix.
Returns
-------
OrderedPair|Matrix
OrderedPair if the default input is an OrderedPair.
x: the y input list of values.
y: the list of inverse value of the y input.
Matrix if the default input is a Matrix.
m: the inverse matrix of the input.
"""
a = np.eye(3)
b: float = rcond
if isinstance(
default, OrderedPair
): # v[0] is a DataContainer object with type attribute
a = default.y # scalar valued
return OrderedPair(x=a, y=1 / a)
elif isinstance(default, Matrix):
a = default.m
if not a.shape[0] == a.shape[1]:
assert isinstance(
b, float
), "Need scalar value to compare SVDs for pseudoinversion"
retval = np.linalg.pinv(a, rcond=b, hermitian=False)
else:
try:
retval = np.linalg.inv(a)
except np.linalg.LinAlgError:
raise ValueError("Inversion failed! Singular matrix returned...")
return Matrix(m=retval)
Example
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In this example, INVERT node inverts the matrix that was given by MATRIX node.
When we use the MATMUL node to multiply the original matrix and the inverted matrix, we obtained the identity matrix which is as expected.