I\'m running a Table function which will take too much time to complete.
I wanted to know if there\'s a way to retrieve the results computed so far.
Unfortunately no. If you want to do something like lst=Table[f[i],{i,1,10000}]
so that if aborted you still have results, you could do
Clear[lst2];
lst2 = {};
(Do[lst2 = {lst2, f[i]}, {i, 1, 10000}];
lst2=Flatten[lst2];) // Timing
which, for undefined f
, takes 0.173066s on my machine, while lst = Table[f[i], {i, 1, 100000}]
takes roughly 0.06s (ie, Table
it is 3 times faster at the expense of not being interruptible).
Note that the obvious "interruptible" solution, lst = {};
Do[AppendTo[lst, f[i]], {i, 1, 100000}]
takes around 40s, so don't do that: use linked lists and flatten at the end, like in my first example (however, that will break if f[i]
returns a list, and more care is then needed).
Here is a version of Table
that is Abort
-able and will keep the intermediate results collected so far. It is a modified version of the solution posted here.
ClearAll[abortableTable];
SetAttributes[abortableTable, HoldAll];
abortableTable[expr_, iter__List] :=
Module[{indices, indexedRes, sowTag},
SetDelayed @@
Prepend[Thread[Map[Take[#, 1] &, List @@ Hold @@@ Hold[iter]],
Hold], indices];
indexedRes =
If[# === {}, #, First@#] &@Last@Reap[
CheckAbort[Do[Sow[{expr, indices}, sowTag], iter], {}], sowTag];
AbortProtect[
Map[First,
SplitBy[indexedRes,
Table[
With[{i = i}, Function[Slot[1][[2, i]]]],
{i, Length[Hold[iter]] - 1}]],
{-3}]]];
It should be able to take the same iterator specification as Table
.
Here is how it works. The first statement (SetDelayed @@...
) "parses" the iterators, assuming that they are each of the form {iteratorSymbol_,bounds__}
, and assigns the list of iterator variables to the variable indices
. The construction with Hold
is needed to prevent possible evaluation of iterator variables. There are many ways to do this, I used just one of them. Here is how it works:
In[44]:=
{i, j, k} = {1, 2, 3};
Prepend[Thread[Map[Take[#, 1] &, List @@ Hold @@@
Hold[{i, 1, 10}, {j, 1, 5}, {k, 1, 3}]], Hold], indices]
Out[45]= Hold[indices, {i, j, k}]
Using SetDelayed @@ the-above
will then naturally produce the delayed definition of the form indices:={i,j,k}
. I assigned the values to indices i,j,k
to demonstrate that no unwanted evaluation of them happens when using this construct.
The next statement produces a list of collected results, where each result is grouped in a list with the list of indices used to produce it. Since indices
variable is defined by delayed definition, it will evaluate every time afresh, for a new combination of indices. Another crucial feature used here is that the Do
loop accepts the same iterator syntax as Table
(and also dynamically localizes the iterator variables), while being a sequential (constant memory) construct. To collect the intermediate results, Reap
and Sow
were used. Since expr
can be any piece of code, and can in particular also use Sow
, a custom tag with a unique name is needed to only Reap
those values that were Sown
by our function, but not the code it executes. Since Module
naturally produces (temporary) symbols with unique name, I simply used a Module
- generated variable without a value, as a tag. This is a generally useful technique.
To be able to collect the results in the case of Abort[]
issued by the user interactively or in the code, we wrap the Do
loop in CheckAbort
. The code that is executed on Abort[]
({}
here) is largely arbitrary in this approach, since the collection of results is anyway done by Sow
and Reap
, although may be useful in a more elaborate version that would save the result into some variable provided by the user and then re-issue the Abort[]
(the functionality not currently implemented).
As a result, we get into a variable indexedRes
a flat list of the form
{{expr1, {ind11,ind21,...indn1}},...,{exprk, {ind1k,ind2k,...indnk}}
where the results are grouped with the corresponding index combination. We need these index combinations to reconstruct the multi-dimensional resulting list from a flat list. The way to do it is to repeatedly split the list according to the value of i
-th index. The function SplitBy
has this functionality, but we need to provide a list of functions to be used for splitting steps. Since the index of i
-th iterator index in the sublist {expr,{ind1,...,indn}}
is 2,i
, the function to do the splitting at i
-th step is #[[2, i]]&
, and we need to construct the list of such functions dynamically to feed it to SplitBy
. Here is an example:
In[46]:= Table[With[{i = i}, Function[Slot[1][[2, i]]]], {i, 5}]
Out[46]= {#1[[2, 1]] &, #1[[2, 2]] &, #1[[2, 3]] &, #1[[2, 4]] &, #1[[2, 5]] &}
The With[{i=i},body]
construct was used to inject the specific values of i
inside pure functions. The alternatives to inject the value of i
into Function
do exist, such as e.g.:
In[75]:=
Function[Slot[1][[2, i]]] /. Map[List, Thread[HoldPattern[i] -> Range[5]]]
Out[75]= {#1[[2, 1]] &, #1[[2, 2]] &, #1[[2, 3]] &, #1[[2, 4]] &, #1[[2, 5]] &}
or
In[80]:= Block[{Part}, Function /@ Thread[Slot[1][[2, Range[5]]]]]
Out[80]= {#1[[2, 1]] &, #1[[2, 2]] &, #1[[2, 3]] &, #1[[2, 4]] &, #1[[ 2, 5]] &}
or
In[86]:= Replace[Table[{2, i}, {i, 5}], {inds__} :> (#[[inds]] &), 1]
Out[86]= {#1[[2, 1]] &, #1[[2, 2]] &, #1[[2, 3]] &, #1[[2, 4]] &, #1[[ 2, 5]] &}
but are probably even more obscure (perhaps except the last one).
The resulting nested list has a proper structure, with sublists {expr,{ind1,...,indn}}
being at level -3
(third level from the bottom). By using Map[First,lst,{-3}]
, we remove the index combinations, since the nested list has been reconstructed already and they are no longer needed. What remains is our result - a nested list of resulting expressions, whose structure corresponds to the structure of a similar nested list produced by Table
. The last statement is wrapped in AbortProtect
- just in case, to make sure that the result is returned before the possible Abort[]
fires.
Here is an example where I pressed Alt+.
(Abort[]
) soon after evaluating the command:
In[133]:= abortableTable[N[(1+1/i)^i],{i,20000}]//Short
Out[133]//Short= {2.,2.25,2.37037,2.44141,<<6496>>,2.71807,2.71807,2.71807}
It is almost as fast as Table
:
In[132]:= abortableTable[N[(1+1/i)^i,20],{i,10000}]//Short//Timing
Out[132]= {1.515,{2.0000000000000000000,2.2500000000000000000,<<9997>>,2.7181459268252248640}}
In[131]:= Table[N[(1+1/i)^i,20],{i,10000}]//Short//Timing
Out[131]= {1.5,{2.0000000000000000000,2.2500000000000000000,<<9997>>,2.7181459268252248640}}
But it does not auto-compile while Table
does:
In[134]:= Table[N[(1+1/i)^i],{i,10000}]//Short//Timing
Out[134]= {0.,{2.,2.25,2.37037,2.44141,<<9993>>,2.71815,2.71815,2.71815}}
One can code the auto-compilation and add it to the above solution, I just did not do it since it will be a lot of work to do it right.
EDIT
I rewrote the function to make some parts both more concise and easier to understand. Also, it is about 25 % faster than the first version, on large lists.
ClearAll[abortableTableAlt];
SetAttributes[abortableTableAlt, HoldAll];
abortableTableAlt[expr_, iter : {_Symbol, __} ..] :=
Module[{indices, indexedRes, sowTag, depth = Length[Hold[iter]] - 1},
Hold[iter] /. {sym_Symbol, __} :> sym /. Hold[syms__] :> (indices := {syms});
indexedRes = Replace[#, {x_} :> x] &@ Last@Reap[
CheckAbort[Do[Sow[{expr, indices}, sowTag], iter], Null],sowTag];
AbortProtect[
SplitBy[indexedRes, Array[Function[x, #[[2, x]] &], {depth}]][[##,1]] & @@
Table[All, {depth + 1}]
]];
Another solution is to export results of intermediate computations to a running log file as described in this answer by WReach (see the "File-backed In-memory Approach" section). With this you will newer loose results of intermediate computations and will always be able to investigate what is computed so far.
P.S. I think usage of Monitor
as suggested in this recent Mathematica tip on twitter is also useful in such cases:
Monitor[Table[Integrate[1/(x^n + 1), x], {n, 20}],
ProgressIndicator[n, {1, 20}]]