params module¶

Utilities for working with parameters.

broadcast_params function¶

broadcast_params(
    param_list,
    to_n=None
)

Broadcast parameters in param_list.

create_param_combs function¶

create_param_combs(
    op_tree,
    depth=0
)

Create arbitrary parameter combinations from the operation tree op_tree.

op_tree is a tuple with nested instructions to generate parameters. The first element of the tuple should be a callable that takes remaining elements as arguments. If one of the elements is a tuple itself and its first argument is a callable, it will be unfolded in the same way as above.

Usage

>>> import numpy as np
>>> from itertools import combinations, product

>>> create_param_combs((product, (combinations, [0, 1, 2, 3], 2), [4, 5]))
[[0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 2, 2],
 [1, 1, 2, 2, 3, 3, 2, 2, 3, 3, 3, 3],
 [4, 5, 4, 5, 4, 5, 4, 5, 4, 5, 4, 5]]

create_param_product function¶

create_param_product(
    param_list
)

Make Cartesian product out of all params in param_list.

flatten_param_tuples function¶

flatten_param_tuples(
    param_tuples
)

Flattens a nested list of iterables using unzipping.

to_typed_list function¶

to_typed_list(
    lst
)

Cast Python list to typed list.

Direct construction is flawed in Numba 0.52.0. See https://github.com/numba/numba/issues/6651.