port https://github.com/mapbox/mapbox-gl-js/pull/4781
This improves legibility of labels that follow lines in pitched views.
The previous approach used the limited information in the shader to
calculate put the glyph in approximatelyright place. The new approach
does this more accurately by doing it on the cpu where we have access to
the entire line geometry.
We're storing GeometryTileFeature objects in SymbolLayout, but they may reference data in GeometryTileLayer, which could go away if we don't retain it.
* Always return image metrics exclusive of padding
* Work with integer coordinates whenever possible
* Eliminate redundant SpriteAtlasElement members
* Fix asymmetric re-padding in getIconQuad when pixelRatio != 1
* Add explanatory comments
* Simplify SymbolLayout; it never needs to care about more than one SpriteAtlas.
* Move the reference from SymbolLayer::Impl to SymbolBucket. This is a prerequisite for making layer Impls immutable.
* Update gl-js and generate style code
* Factor out packUint8Pair() helper function
* Draft implementation of DDS for {text,icon}-size
Ports https://github.com/mapbox/mapbox-gl-js/pull/4455
* Fix text-size/composite-function-line-placement test
* Refactor to PaintPropertyBinders-like strategy
* Dedupe gl::Program construction
* Use exponential function base for interpolation
* Dedupe coveringZoomStops method
* Fixup tests
* Fix CI errors (hidden within #if block)
- Expose glyph and icon information to workers via message interface.
- Glyph/SpriteAtlas track which tiles have outstanding requests
and send messages to them when glyphs/icons become available.
- Remove obsolete "updateSymbolDependentTiles" pathway
- Symbol preparation for a tile now depends on all glyphs becoming
available before it can start.
- Start tracking individual icons needed for a tile, although we don't
do anything with the information yet.
- Introduce typedef for GlyphID
* Add symbol dds attributes and adapt style code generation
* Update to mapbox-gl-js/master
* Refactor SymbolFeature as a subclass of GeometryTileFeature
Prepares for enabling DDS on symbol paint properties by allowing the
SymbolFeatures, which we keep around after constructing SymbolLayout,
to be used in evaluating data-driven paint properties later in the
layout process.
* Draft approach for splitting icon/text paint properties
The `Program` types are set up to bind GL attributes to each of the
data-driven paint properties specified in the `PaintProperties` type
provided. Since `SymbolPaintProperties` specifies both `Text*` and
`Icon*` properties, the symbolIcon, symbolIconSDF, and symbolGlyph
programs each attempt to bind roughly double the number of attributes
that they actually need.
This change addresses this by:
- Adding the more specific `IconPaintProperties` and `TextPaintProperties` types, which are subsets of the full `SymbolPaintProperties`.
- The symbol layer continues to use its `SymbolPaintProperties paint` member to track layer property state, but it provides helpers that construct objects of each the specific `{Icon,Text}PaintProperties::Evaluated` type, for use by the painter.
- The three symbol programs instantiate `Program<>` using the appropriate `{Icon,Text}PaintProperties` type.
* check in generated style code
* Populate paint buffers for symbol DDS properties
* Address first round of review comments
* Refactor VectorTile{Layer,Feature} to explicitly share data
* Update submodule
It should be safe to invoke GeometryTileWorker::setData multiple times without invoking GeometryTileWorker::setLayers. Therefore GeometryTileWorker::redoLayout() must not consume the layers.
- Trim whitespace from labels before determining their max-width for alignment.
- Fix crash on labels that contain lines with only a single character of whitespace.
This converts the style property classes (CirclePaintProperties and so on) to the same tuple-based approach as gl::Attribute and gl::Uniform. The approach is outlined in https://github.com/mapbox/cpp/blob/master/C%2B%2B%20Structural%20Metaprogramming.md.
The main advantage of this approach is it allows writing algorithms that work on sets of style properties, without resorting to code generation or manually repetitive code. This lets us iterate on approaches to data-driven properties more easily.
Another advantage is that the cascading, unevaluated, and evaluated states of a set of properties exist as independent structures, instead of individual properties holding their own state. This is a more functional approach that makes data flow clearer and reduces state.
