pathsim.blocks.function module
- class pathsim.blocks.function.Function(func=<function Function.<lambda>>)[source]
Bases:
BlockArbitrary MIMO function block, defined by a callable object, i.e. function or lambda expression.
The function can have multiple arguments that are then provided by the input channels of the function block.
Form multi input, the function has to specify multiple arguments and for multi output, the aoutputs have to be provided as a tuple or list.
In the context of the global system, this block implements algebraic components of the global system ODE/DAE.
\[\vec{y} = \mathrm{func}(\vec{u})\]Note
This block is purely algebraic and its operation (op_alg) will be called multiple times per timestep, each time when Simulation._update(t) is called in the global simulation loop. Therefore func must be purely algebraic and not introduce states, delay, etc. For interfacing with external stateful APIs, use the API block.
Note
If the outputs are provided as a single numpy array, they are considered a single output. For MIMO, output has to be tuple.
Example
consider the function:
from pathsim.blocks import Function def f(a, b, c): return a**2, a*b, b/c fn = Function(f)
then, when the block is uldated, the input channels of the block are assigned to the function arguments following this scheme:
inputs[0] -> a inputs[1] -> b inputs[2] -> c
and the function outputs are assigned to the output channels of the block in the same way:
a**2 -> outputs[0] a*b -> outputs[1] b/c -> outputs[2]
Because the Function block only has a single argument, it can be used to decorate a function and make it a PathSim block. This might be handy in some cases to keep definitions concise and localized in the code:
from pathsim.blocks import Function #does the same as the definition above @Function def fn(a, b, c): return a**2, a*b, b/c #'fn' is now a PathSim block
- Parameters:
func (callable) – MIMO function that defines algebraic block IO behaviour