This algorithm returns the portion of a line (or curve) which falls
between the specified start and end distances (measured from the
beginning of the line).
Z and M values are linearly interpolated from existing values.
Algorithm appears to freeze without progress while `extent_engine.intersects(geom.constGet())` returns false.
This keeps the progress bar continuous and smooth, even if the feature ends up not being added.
(noticed this because the algo hangs for 2 mins while processing a large dataset which I think is outside the extent somehow. None of the points going in. No apparent progress.)
Allows processing models to be stored inside QGIS project files,
so that opening the project makes that model available.
Some models are so intrinsically linked to the logic inside
a particular project that they have no meaning (or are totally
broken) outside of that project (e.g. models which rely
on the presence of particular map layers, relations, etc)
This change allows these models to be stored inside that project,
avoid cluttering up the "global" model provider with models
which make no sense, and making it easier to distribute a single
project with these models included.
Models are stored inside projects by clicking the new "embed
in project" button in the modeler dialog toolbar. Models can be
removed from a project from the model's right click menu in the
toolbox.
Refactor the existing "raster pixels to polygons" algorithm and
create a new "pixels to points" algorithm, which creates a point
feature at the center of every pixel. nodata pixels are skipped.
* Update to VoronoiPolygons.py, fixes#8002 adds comments, ++
* Fixed a spelling an an indentation mistake reported by travis
* Found some new cases (vertical line clipping and a mistake in the handling of extreme points)
When an algorithm has a distance parameter in meters/feet/etc (i.e.
non-geographic distances), show a combo box allowing choice of
unit type.
(We don't (and should never) expose this for distances in degrees --
it's up to users in this situation to choose a suitable local
projection and reproject their data to match. Refs: a recent
talk by @volaya)
This algorithm creates copies of line features in a layer, by
creating multiple parallel versions of each feature. Each copy is offset
by a preset distance.
