Module quantum_inferno.utilities.matrix

Utilities for matrix operations.

Functions

def array_from_number(number: float, shape: tuple) ‑> numpy.ndarray

Create an array with repeated values from a given float.

:param number: float or int value to repeat :param shape: shape of the array :return: 1D or 2D array

def d0tile_x_d0d1(d0: float, d0d1: numpy.ndarray) ‑> numpy.ndarray

Create array of repeated values with dimensions that match those of energy array Useful to multiply frequency-dependent values to frequency-time matrices

:param d0: 1D input vector, nominally column frequency/scale multipliers :param d0d1: 2D array, first dimension should be that same as d1 :return: array with matching values

def d1tile_x_d0d1(d1: float, d0d1: numpy.ndarray) ‑> numpy.ndarray

Create array of repeated values with dimensions that match those of energy array Useful to multiply time-dependent values to frequency-time matrices

:param d1: 1D input vector, nominally row time multipliers :param d0d1: 2D array, second dimension should be that same as d1 :return: array with matching values

def just_tile_d1(d1_array1d_in: float, d0d1_shape: tuple) ‑> numpy.ndarray

Create array of repeated values with dimensions that match those of energy array Useful to multiply time-dependent values to frequency-time matrices

:param d1_array1d_in: 1D input vector, nominally row time multipliers :param d0d1_shape: 2D array, second dimension should be that same as d1 :return: array with matching values

def n_tile_array(array: numpy.ndarray, n: int, axis: MatrixAxis) ‑> numpy.ndarray

Tile a 1D array n times by repeating values in a column wise or row wise direction. If row wise, the output array will have n rows and the same number of columns as the input array. If column wise, the output array will have n columns and the same number of rows as the input array.

:param array: 1D array :param n: number of times to tile :param axis: direction to tile :return: 2D array with repeated values

def tile_array_to_shape(array: numpy.ndarray, shape: tuple, axis: MatrixAxis = None) ‑> numpy.ndarray

Tile an array with a given shape by repeating values in a column wise or row wise direction to match. If axis is not specified, the direction will be determined by the shape. If row wise, the output array will have n rows and the same number of columns as the input array. If column wise, the output array will have n columns and the same number of rows as the input array.

:param array: 1D array :param shape: shape of the output array :param axis: direction to tile :return: 2D array with repeated values

Classes

class MatrixAxis (value, names=None, *, module=None, qualname=None, type=None, start=1)

An enumeration.

Expand source code

class MatrixAxis(Enum):
    ROW = "row"  # d1
    COLUMN = "column"  # d0

Ancestors

• enum.Enum

Class variables

var COLUMN

var ROW