* .gitignore sort and remove duplicates
* show more warnings in tests
* add/update masks for rendering checks on windows
* fix delimited text provider tests
* disable QgsLogger and QgsPalLabelingServer on windows
* defer initialization of map settings until after QgsApplication is initialized
* disable local server test
* set ogr encoding in qgsserver testproject.qgs
This new tool in qgis_analysis library is able to take several rasters
as input and to align them perfectly, that means:
- reproject to the same CRS
- resample to the same cell size and offset in the grid
- clip to a region of interest
- rescale values when required
...rather than reading input layers directly through GDAL.
Benefits include more robust handling of nodata/data type conversions,
less code duplication, also being able to take advantage of features
in QGIS raster code like handling gain/offset in rasters. (fix#12450)
Also, add a choice of output projection to the raster calculator.
Previously the output CRS would be taken from the first raster, with
no guarantees that the output extent matched the output CRS. This
resulted in empty/misplaced rasters. (fix#3649)
This option (located under the symbol advanced menu) disables the
automatic clipping of lines/polygons to the canvas extent. In
some cases this clipping results in unfavourable symbology (eg
centroid fills where the centroid must always be the actual
feature's centroid). (fix#9757)
This commit adds a new framework for implementing paint effects, which
modify the results of QPainter operations to apply visual effects
such as drop shadows and blurs.
The initial implementation allows for effects to be applied to entire
layers and individual symbol layers.
Included are a drop shadow, inner shadow, blur, inner glow, outer glow,
colorise and transform effect. A "stack" effect is also implemented
which allows other paint effects to be combined in various ways.
Sponsored by hundreds of generous kickstarter contributors!
Masks set which pixels in the control image should be tested and
an optional tolerance for each pixel. This is done via the colors
in the mask image - white pixels are ignored, black must be an
exact match, and gray levels represent the maximum color component
deviation for that pixel.
This should replace the fragile anomaly images, in that a single
control image with a suitable mask will not be susceptible to
antialiasing differences, etc.
A new script (scripts/generate_test_mask_image.py) is included which
either creates a new mask or modifies an existing mask to handle
an acceptable rendered image.
Ultimately, masking along with multi render checks for specific
platform differences should be flexible enough to meet our needs.
