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Variable number of return arguments
MATLAB allows functions to return a variable number of arguments, and the magic variable nargout
specifies how many of those listed on the function signature line have been provided. For example
function [q,qd,qdd] = jtraj(q0, q1)
Can be called like
q = jtraj(q0, q1) % nargout = 1
[q,qd] = jtraj(q0, q1) % nargout = 2
[q,qd,qdd] = jtraj(q0, q1) % nargout = 3
Python cannot do this, so we need some alternative.
One Pythonic solution is to always return all three values as a tuple such as (q, qd, qdd)
.
However if we need just one element we need to write
out = jtraj(q0, q1)
q = out[0]
or
q,_,_ = jtraj(q0, q1)
or
q = jtraj(q0, q1)[0]
which is concise but a bit cryptic.
A better option might be to return a named tuple instead, for example
from collections import namedtuple
jt = namedtuple('jtraj', 'q qd qdd')
where jt
is a namedtuple constructor
>>> x=jt(1,2,3)
>>> print(x)
jtraj(q=1, qd=2, qdd=3)
>>> x[1]
2
>>> x.qdd
3
Returning to our earlier example, if the function returns a namedtuple we can write
out = jtraj(q0, q1)
q = out.q
as well as the earlier idiom with the slice [0]
, but q
is much more informative to the reader.
The concise version is now
q = jtraj(q0, q1).q
which is much less cryptic.
The return code of the function can also be quite concise
return namedtuple('jtraj', 'q qd qdd')(q, qd, qdd)
There is maybe some wasted time to compute things that are not needed. If some outputs were particularly expensive we could use keyword boolean arguments to control their computation and addition to the returned tuple.
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