Matlab: Instantiate the handle class inside a function within another class - function

Let's say, for instance, I have two classes: A & B. I have set B as the handle class and would like a property from A to instantiate this class (i.e. B).
Therefore, I have done something like this in class A:
% Constructor
function a = A()
a.objB = B(); % This works fine
...
for i = 1:10
a.var(i) = B(); % This causes an error to occur
end
end
The error is listed below:
"Error using double Conversion to double from B is not possible.
The code snippet inside the for loop seems to work if I change a.var(i) = B(); to var(i) = B();.
Do you have any idea why this is?

Your .var field is probably initialized to a double when you make the assignment (maybe to []). Using a.var(i) = xxx cannot change the type of a.var.
Try resetting the value the first time it is used. EG
for i = 1:10
if i == 1
a.var = B(); % Overwrite the existing value
else
a.var(i) = B(); % Now append to that value
end
end
This will cause your a.var field to be reallocated every loop. Pre-allocated your array will make everything go much faster. The easiest way to pre-allocate is actually to just loop backwards, like this:
for i = 10:-1:1
if i == 10
a.var = B(); % Overwrite the existing value, allocated room for 10 elements
else
a.var(i) = B(); % Assign each element in turn, 9 through 1
end
end

Related

Arguments not properly passed to function

I am new to Lua, and I downloaded and wanted to use the class.lua file from this link.
However, when I attempt to call the Board:addSign function from anywhere, no matter what I do, the arguments passed are the value of the place variable and nil instead of the values of the sign and place variables. How would I go around fixing that?
Here's my code, both main and the class itself.
Class = require 'class'
require 'Board'
board = Board()
for place = 1, 9 do
print('Input sign: ')
sign = io.read()
board.addSign(sign, place)
end
Board = Class{}
function Board:init()
array = {}
for n = 1, 9 do
array[n] = ' '
end
--
self.array = array
end
function Board:addSign(sign, place)
print(sign) -- outputs whatever I passed as place
print(place) -- outputs nil no matter what
self.array[place] = sign -- crashes here since place is nil
end
Use board:addSign instead of board.addSign.
function Board:addSign(sign, place) end
is syntactic sugar for
function Board.addSign(self, sign, place) end
This allows you to do things like self.array[place] = sign inside that function.
So you defined a function with 3 parameters but you only provide 2 when calling it.
board.addSign(sign, place)
Inside your function that basically results in
local self = sign
local sign = place
local place = nil
So either call Board:addSign(sign, place) or Board.addSign(Board, sign, place)

Better way than using `Task/produce/consume` for lazy collections express as coroutines

It is very convenient to use Tasks
to express a lazy collection / a generator.
Eg:
function fib()
Task() do
prev_prev = 0
prev = 1
produce(prev)
while true
cur = prev_prev + prev
produce(cur)
prev_prev = prev
prev = cur
end
end
end
collect(take(fib(), 10))
Output:
10-element Array{Int64,1}:
1
1
2
3
5
8
13
21
34
However, they do not follow good iterator conventions at all.
They are as badly behaved as they can be
They do not use the returned state state
start(fib()) == nothing #It has no state
So they are instead mutating the iterator object itself.
An proper iterator uses its state, rather than ever mutating itself, so they multiple callers can iterate it at once.
Creating that state with start, and advancing it during next.
Debate-ably, that state should be immutable with next returning a new state, so that can be trivially teeed. (On the other hand, allocating new memory -- though on the stack)
Further-more, the hidden state, it not advanced during next.
The following does not work:
#show ff = fib()
#show state = start(ff)
#show next(ff, state)
Output:
ff = fib() = Task (runnable) #0x00007fa544c12230
state = start(ff) = nothing
next(ff,state) = (nothing,nothing)
Instead the hidden state is advanced during done:
The following works:
#show ff = fib()
#show state = start(ff)
#show done(ff,state)
#show next(ff, state)
Output:
ff = fib() = Task (runnable) #0x00007fa544c12230
state = start(ff) = nothing
done(ff,state) = false
next(ff,state) = (1,nothing)
Advancing state during done isn't the worst thing in the world.
After all, it is often the case that it is hard to know when you are done, without going to try and find the next state. One would hope done would always be called before next.
Still it is not great, since the following happens:
ff = fib()
state = start(ff)
done(ff,state)
done(ff,state)
done(ff,state)
done(ff,state)
done(ff,state)
done(ff,state)
#show next(ff, state)
Output:
next(ff,state) = (8,nothing)
Which is really now what you expect. It is reasonably to assume that done is safe to call multiple times.
Basically Tasks make poor iterators. In many cases they are not compatible with other code that expects an iterator. (In many they are, but it is hard to tell which from which).
This is because Tasks are not really for use as iterators, in these "generator" functions. They are intended for low-level control flow.
And are optimized as such.
So what is the better way?
Writing an iterator for fib isn't too bad:
immutable Fib end
immutable FibState
prev::Int
prevprev::Int
end
Base.start(::Fib) = FibState(0,1)
Base.done(::Fib, ::FibState) = false
function Base.next(::Fib, s::FibState)
cur = s.prev + s.prevprev
ns = FibState(cur, s.prev)
cur, ns
end
Base.iteratoreltype(::Type{Fib}) = Base.HasEltype()
Base.eltype(::Type{Fib}) = Int
Base.iteratorsize(::Type{Fib}) = Base.IsInfinite()
But is is a bit less intuitive.
For more complex functions, it is much less nice.
So my question is:
What is a better way to have something that works like as Task does, as a way to buildup a iterator from a single function, but that is well behaved?
I would not be surprised if someone has already written a package with a macro to solve this.
The current iterator interface for Tasks is fairly simple:
# in share/julia/base/task.jl
275 start(t::Task) = nothing
276 function done(t::Task, val)
277 t.result = consume(t)
278 istaskdone(t)
279 end
280 next(t::Task, val) = (t.result, nothing)
Not sure why the devs chose to put the consumption step in the done function rather than the next function. This is what is producing your weird side-effect. To me it sounds much more straightforward to implement the interface like this:
import Base.start; function Base.start(t::Task) return t end
import Base.next; function Base.next(t::Task, s::Task) return consume(s), s end
import Base.done; function Base.done(t::Task, s::Task) istaskdone(s) end
Therefore, this is what I would propose as the answer to your question.
I think this simpler implementation is a lot more meaningful, fulfils your criteria above, and even has the desired outcome of outputting a meaningful state: the Task itself! (which you're allowed to "inspect" if you really want to, as long as that doesn't involve consumption :p ).
However, there are certain caveats:
Caveat 1: The task is REQUIRED to have a return value, signifying the final element in the iteration, otherwise "unexpected" behaviour might occur.
I'm assuming the devs chose the first approach to avoid exactly this kind of "unintended" output; however I believe this should have actually been the expected behaviour! A task expected to be used as an iterator should be expected to define an appropriate iteration endpoint (by means of a clear return value) by design!
Example 1: The wrong way to do it
julia> t = Task() do; for i in 1:10; produce(i); end; end;
julia> collect(t) |> show
Any[1,2,3,4,5,6,7,8,9,10,nothing] # last item is a return value of nothing
# correponding to the "return value" of the
# for loop statement, which is 'nothing'.
# Presumably not the intended output!
Example 2: Another wrong way to do it
julia> t = Task() do; produce(1); produce(2); produce(3); produce(4); end;
julia> collect(t) |> show
Any[1,2,3,4,()] # last item is the return value of the produce statement,
# which returns any items passed to it by the last
# 'consume' call; in this case an empty tuple.
# Presumably not the intended output!
Example 3: The (in my humble opinion) right way to do it!.
julia> t = Task() do; produce(1); produce(2); produce(3); return 4; end;
julia> collect(t) |> show
[1,2,3,4] # An appropriate return value ending the Task function ensures an
# appropriate final value for the iteration, as intended.
Caveat 2: The task should not be modified / consumed further inside the iteration (a common requirement with iterators in general), except in the understanding that this intentionally causes a 'skip' in the iteration (which would be a hack at best, and presumably not advisable).
Example:
julia> t = Task() do; produce(1); produce(2); produce(3); return 4; end;
julia> for i in t; show(consume(t)); end
24
More Subtle example:
julia> t = Task() do; produce(1); produce(2); produce(3); return 4; end;
julia> for i in t # collecting i is a consumption event
for j in t # collecting j is *also* a consumption event
show(j)
end
end # at the end of this loop, i = 1, and j = 4
234
Caveat 3: With this scheme it is expected behaviour that you can 'continue where you left off'. e.g.
julia> t = Task() do; produce(1); produce(2); produce(3); return 4; end;
julia> take(t, 2) |> collect |> show
[1,2]
julia> take(t, 2) |> collect |> show
[3,4]
However, if one would prefer the iterator to always start from the pre-consumption state of a task, the start function could be modified to achieve this:
import Base.start; function Base.start(t::Task) return Task(t.code) end;
import Base.next; function Base.next(t::Task, s::Task) consume(s), s end;
import Base.done; function Base.done(t::Task, s::Task) istaskdone(s) end;
julia> for i in t
for j in t
show(j)
end
end # at the end of this loop, i = 4, and j = 4 independently
1234123412341234
Interestingly, note how this variant would affect the 'inner consumption' scenario from 'caveat 2':
julia> t = Task() do; produce(1); produce(2); produce(3); return 4; end;
julia> for i in t; show(consume(t)); end
1234
julia> for i in t; show(consume(t)); end
4444
See if you can spot why this makes sense! :)
Having said all this, there is a philosophical point about whether it even matters that the way a Task behaves with the start, next, and done commands matters at all, in that, these functions are considered "an informal interface": i.e. they are supposed to be "under the hood" functions, not intended to be called manually.
Therefore, as long as they do their job and return the expected iteration values, you shouldn't care too much about how they do it under the hood, even if technically they don't quite follow the 'spec' while doing so, since you were never supposed to be calling them manually in the first place.
How about the following (uses fib defined in OP):
type NewTask
t::Task
end
import Base: start,done,next,iteratorsize,iteratoreltype
start(t::NewTask) = istaskdone(t.t)?nothing:consume(t.t)
next(t::NewTask,state) = (state==nothing || istaskdone(t.t)) ?
(state,nothing) : (state,consume(t.t))
done(t::NewTask,state) = state==nothing
iteratorsize(::Type{NewTask}) = Base.SizeUnknown()
iteratoreltype(::Type{NewTask}) = Base.EltypeUnknown()
function fib()
Task() do
prev_prev = 0
prev = 1
produce(prev)
while true
cur = prev_prev + prev
produce(cur)
prev_prev = prev
prev = cur
end
end
end
nt = NewTask(fib())
take(nt,10)|>collect
This is a good question, and is possibly better suited to the Julia list (now on Discourse platform). In any case, using defined NewTask an improved answer to a recent StackOverflow question is possible. See: https://stackoverflow.com/a/41068765/3580870

How do I set a function to a variable in MATLAB

As a homework assignment, I'm writing a code that uses the bisection method to calculate the root of a function with one variable within a range. I created a user function that does the calculations, but one of the inputs of the function is supposed to be "fun" which is supposed to be set equal to the function.
Here is my code, before I go on:
function [ Ts ] = BisectionRoot( fun,a,b,TolMax )
%This function finds the value of Ts by finding the root of a given function within a given range to a given
%tolerance, using the Bisection Method.
Fa = fun(a);
Fb = fun(b);
if Fa * Fb > 0
disp('Error: The function has no roots in between the given bounds')
else
xNS = (a + b)/2;
toli = abs((b-a)/2);
FxNS = fun(xns);
if FxNS == 0
Ts = xNS;
break
end
if toli , TolMax
Ts = xNS;
break
end
if fun(a) * FxNS < 0
b = xNS;
else
a = xNS;
end
end
Ts
end
The input arguments are defined by our teacher, so I can't mess with them. We're supposed to set those variables in the command window before running the function. That way, we can use the program later on for other things. (Even though I think fzero() can be used to do this)
My problem is that I'm not sure how to set fun to something, and then use that in a way that I can do fun(a) or fun(b). In our book they do something they call defining f(x) as an anonymous function. They do this for an example problem:
F = # (x) 8-4.5*(x-sin(x))
But when I try doing that, I get the error, Error: Unexpected MATLAB operator.
If you guys want to try running the program to test your solutions before posting (hopefully my program works!) you can use these variables from an example in the book:
fun = 8 - 4.5*(x - sin(x))
a = 2
b = 3
TolMax = .001
The answer the get in the book for using those is 2.430664.
I'm sure the answer to this is incredibly easy and straightforward, but for some reason, I can't find a way to do it! Thank you for your help.
To get you going, it looks like your example is missing some syntax. Instead of either of these (from your question):
fun = 8 - 4.5*(x - sin(x)) % Missing function handle declaration symbol "#"
F = # (x) 8-4.5*(x-sin9(x)) %Unless you have defined it, there is no function "sin9"
Use
fun = #(x) 8 - 4.5*(x - sin(x))
Then you would call your function like this:
fun = #(x) 8 - 4.5*(x - sin(x));
a = 2;
b = 3;
TolMax = .001;
root = BisectionRoot( fun,a,b,TolMax );
To debug (which you will need to do), use the debugger.
The command dbstop if error stops execution and opens the file at the point of the problem, letting you examine the variable values and function stack.
Clicking on the "-" marks in the editor creates a break point, forcing the function to pause execution at that point, again so that you can examine the contents. Note that you can step through the code line by line using the debug buttons at the top of the editor.
dbquit quits debug mode
dbclear all clears all break points

Matlab call a function from a function

I have two functions:
function [] = func_one()
S.pb = uicontrol('style','push','unit','pix','posit',[20 20 260 30],
'string','Print Choices','callback',{#func_two,S});
and I have the second function:
function [a] = func_two(varargin)
a = 'alon';
end
I want func_one to return the variable a of func_two. How can I do that please?
I tried:
function [a] = func_one()
But I guess I have to do something with 'callback',{#func_two,S})
Thank you all!
If, as you say, you want func_one to return the value a in func_two then the easiest way to do this without using a callback is:
function [a] = func_one()
S.pb = uicontrol('style','push','unit','pix','posit',[20 20 260 30],
'string','Print Choices');
a = func_two()
The above will allow you to say run a=func_one and a will be the string 'alon'.
If you really really want func_two() to be a callback of your pushbutton, and you want a='alon' to be assigned in the workspace of func_one (the function that calls func_two) then put this in func_two
assignin('caller','a',a)
And if neither is what you want, then maybe you can indicate why you want func_one to return what func_two returns - like the exact interaction you are hoping to have with your GUI and how it differs from what you're actually experiencing.
If you are designing a GUI programmatically, I suggest you use nested functions to share data. Example:
function IncrementExample()
x = 0;
uicontrol('Style','pushbutton', 'String','(0)', ...
'Callback',#callback);
function callback(o,e)
%# you can access the variable x in here
x = x + 1;
%# update button text
set(o, 'String',sprintf('(%d)',x))
drawnow
end
end

Passing variables into a function in Lua

I'm new to Lua, so (naturally) I got stuck at the first thing I tried to program. I'm working with an example script provided with the Corona Developer package. Here's a simplified version of the function (irrelevant material removed) I'm trying to call:
function new( imageSet, slideBackground, top, bottom )
function g:jumpToImage(num)
print(num)
local i = 0
print("jumpToImage")
print("#images", #images)
for i = 1, #images do
if i < num then
images[i].x = -screenW*.5;
elseif i > num then
images[i].x = screenW*1.5 + pad
else
images[i].x = screenW*.5 - pad
end
end
imgNum = num
initImage(imgNum)
end
end
If I try to call that function like this:
local test = slideView.new( myImages )
test.jumpToImage(2)
I get this error:
attempt to compare number with nil
at line 225. It would seem that "num" is not getting passed into the function. Why is this?
Where are you declaring g? You're adding a method to g, which doesn't exist (as a local). Then you're never returning g either. But most likely those were just copying errors or something. The real error is probably the notation that you're using to call test:jumpToImage.
You declare g:jumpToImage(num). That colon there means that the first argument should be treated as self. So really, your function is g.jumpToImage(self, num)
Later, you call it as test.jumpToImage(2). That makes the actual arguments of self be 2 and num be nil. What you want to do is test:jumpToImage(2). The colon there makes the expression expand to test.jumpToImage(test, 2)
Take a look at this page for an explanation of Lua's : syntax.