- the very old 'writer' class was fully stateless and always templated
on an particular output type.
This is now replaced with a 'coordSetWriter' with similar concepts
as previously introduced for surface writers (#1206).
- writers change from being a generic state-less set of routines to
more properly conforming to the normal notion of a writer.
- Parallel data is done *outside* of the writers, since they are used
in a wide variety of contexts and the caller is currently still in
a better position for deciding how to combine parallel data.
ENH: update sampleSets to sample on per-field basis (#2347)
- sample/write a field in a single step.
- support for 'sampleOnExecute' to obtain values at execution
intervals without writing.
- support 'sets' input as a dictionary entry (as well as a list),
which is similar to the changes for sampled-surface and permits use
of changeDictionary to modify content.
- globalIndex for gather to reduce parallel communication, less code
- qualify the sampleSet results (properties) with the name of the set.
The sample results were previously without a qualifier, which meant
that only the last property value was actually saved (previous ones
overwritten).
For example,
```
sample1
{
scalar
{
average(line,T) 349.96521;
min(line,T) 349.9544281;
max(line,T) 350;
average(cells,T) 349.9854619;
min(cells,T) 349.6589286;
max(cells,T) 350.4967271;
average(line,epsilon) 0.04947733869;
min(line,epsilon) 0.04449639927;
max(line,epsilon) 0.06452856475;
}
label
{
size(line,T) 79;
size(cells,T) 1720;
size(line,epsilon) 79;
}
}
```
ENH: update particleTracks application
- use globalIndex to manage original parcel addressing and
for gathering. Simplify code by introducing a helper class,
storing intermediate fields in hash tables instead of
separate lists.
ADDITIONAL NOTES:
- the regionSizeDistribution largely retains separate writers since
the utility of placing sum/dev/count for all fields into a single file
is questionable.
- the streamline writing remains a "soft" upgrade, which means that
scalar and vector fields are still collected a priori and not
on-the-fly. This is due to how the streamline infrastructure is
currently handled (should be upgraded in the future).
- do not need STRINGIFY macros in ragel code
- remove wordPairHashTable.H and use equivalent wordPairHashes.H instead
STYLE: replace addDictOption with explicit option
- the usage text is otherwise misleading
GIT: combine Pair/Tuple2 directories
The utility will now add field data to all tracks (previous version only
created the geometry)
The new 'fields' entry can be used to output specific fields.
Example
cloud reactingCloud1;
sampleFrequency 1;
maxPositions 1000000;
fields (d U); // includes wildcard support
STYLE: minor typo fix
- makes the intent clearer and avoids the need for additional
constructor casting. Eg,
labelList(10, Zero) vs. labelList(10, 0)
scalarField(10, Zero) vs. scalarField(10, scalar(0))
vectorField(10, Zero) vs. vectorField(10, vector::zero)
- cfindObject() for const pointer access.
- getObject() for mutable non-const pointer access, similar to the
objectRegistry::getObjectPtr()
- cfindObject(), findObject(), getObject() with template type access
to also check the headerClassName.
For example,
cfindObject("U") -> good
cfindObject<volVectorField>("U") -> good
cfindObject<volScalarField>("U") -> nullptr
This allows inversion of looping logic.
1) Obtain the names for a particular Type
for (const word& objName : objs.sortedNames<Type>())
{
const IOobject* io = objs[objName];
...
}
2) Use previously obtained names and apply to a particular Type
for (const word& objName : someListOfNames)
{
const IOobject* io = objs.cfindObject<Type>(objName);
if (io)
{
...
}
}
