mt.base.functional

Utitilites related to composing funcions.

Functions

• on_list(): Turns a function that operates on each element at a time into a function that operates on a colletion of elements at a time. Can be used as a decorator.

• join_funcs(): Concatenates functions taking a single argument into a single function.

• iterator_as_generator(): Turns a Python iterator into a Python generator that generates items forever. Probably only useful for keras.

mt.base.functional.on_list(func)

Turns a function that operates on each element at a time into a function that operates on a colletion of elements at a time. Can be used as a decorator.

Parameters:

func (function) – the function to build upon. Its expected form is def func(x, *args, **kwargs) -> object.

Returns:

a wrapper function def func_on_list(list_x, *args, **kwargs) -> list_of_objects that invokes func(x, *args, **kwargs) for each x in list_x.

Return type:

function

mt.base.functional.join_funcs(*funcs, left_to_right=True)

Concatenates functions taking a single argument into a single function.

Parameters:

• *funcs (list) – list of functions f1(x), f2(x), …, fn(x)

• left_to_right (boolean) – whether to concatenate from left to right or from right to left.

Returns:

func – The function f(x) = fn(…f2(f1(x))…) if left_to_right is True, else f(x) = f1(f2(…fn(x)…)).

Return type:

function

mt.base.functional.iterator_as_generator(iterator)

Turns a Python iterator into a Python generator that generates items forever. Probably only useful for keras.