[repacker] update the repacker doc to reflect the current state.
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@ -23,11 +23,11 @@ Offset overflows can happen for a variety of reasons and require different strat
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for more flexibility in the ordering.
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* In GSUB/GPOS overflows from Lookup subtables can be resolved by changing the Lookup to an extension
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lookup which uses a 32 bit offset instead of 16 bit offset.
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In general there isn't a simple solution to produce an optimal topological ordering for a given graph.
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Finding an ordering which doesn't overflow is a NP hard problem. Existing solutions use heuristics
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which attempt a combination of the above strategies to attempt to find a non-overflowing configuration.
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The harfbuzz subsetting library
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[includes a repacking algorithm](https://github.com/harfbuzz/harfbuzz/blob/main/src/hb-repacker.hh)
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which is used to resolve offset overflows that are present in the subsetted tables it produces. This
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@ -47,16 +47,22 @@ There's four key pieces to the harfbuzz approach:
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* [Topological sorting algorithm](https://en.wikipedia.org/wiki/Topological_sorting): an algorithm
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which given a graph gives a linear sorting of the nodes such that all offsets will be positive.
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* Overflow check: given a graph and a topological sorting it checks if there will be any overflows
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in any of the offsets. If there are overflows it returns a list of (parent, child) tuples that
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will overflow. Since the graph has information on the size of each subtable it's straightforward
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to calculate the final position of each subtable and then check if any offsets to it will
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overflow.
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* Content Aware Preprocessing: if the overflow resolver is aware of the format of the underlying
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tables (eg. GSUB, GPOS) then in some cases preprocessing can be done to increase the chance of
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successfully packing the graph. For example for GSUB and GPOS we can preprocess the graph and
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promote lookups to extension lookups (upgrades a 16 bit offset to 32 bits) or split large lookup
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subtables into two or more pieces.
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* Offset resolution strategies: given a particular occurrence of an overflow these strategies
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modify the graph to attempt to resolve the overflow.
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# High Level Algorithm
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```
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@ -64,6 +70,7 @@ def repack(graph):
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graph.topological_sort()
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if (graph.will_overflow())
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preprocess(graph)
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assign_spaces(graph)
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graph.topological_sort()
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@ -85,7 +92,7 @@ The harfbuzz repacker uses two different algorithms for topological sorting:
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Kahn's algorithm is approximately twice as fast as the shortest distance sort so that is attempted
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first (only on the first topological sort). If it fails to eliminate overflows then shortest distance
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sort will be used for all subsequent topological sorting operations.
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## Shortest Distance Sort
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This algorithm orders the nodes based on total distance to each node. Nodes with a shorter distance
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@ -113,7 +120,7 @@ operations:
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* The number of incoming edges to each node is cached. This is required by the Kahn's algorithm
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portion of both sorts. Where possible when the graph is modified we manually update the cached
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edge counts of affected nodes.
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* The distance to each node is cached. Where possible when the graph is modified we manually update
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the cached distances of any affected nodes.
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@ -185,6 +192,37 @@ The assign_spaces() step in the high level algorithm is responsible for identify
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subgraphs and assigning unique spaces to each one. More information on the space assignment can be
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found in the next section.
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# Graph Preprocessing
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For certain table types we can preprocess and modify the graph structure to reduce the occurences
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of overflows. Currently the repacker implements preprocessing only for GPOS and GSUB tables.
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## GSUB/GPOS Table Splitting
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The GSUB/GPOS preprocessor scans each lookup subtable and determines if the subtable's children are
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so large that no overflow resolution is possible (for example a single subtable that exceeds 65kb
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cannot be pointed over). When such cases are detected table splitting is invoked:
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* The subtable is first analyzed to determine the smallest number of split points that will allow
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for successful offset overflow resolution.
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* Then the subtable in the graph representation is modified to actually perform the split at the
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previously computed split points. At a high level splits are done by inserting new subtables
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which contain a subset of the data of the original subtable and then shrinking the original subtable.
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Table splitting must be aware of the underlying format of each subtable type and thus needs custom
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code for each subtable type. Currently subtable splitting is only supported for GPOS subtable types.
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## GSUB/GPOS Extension Lookup Promotion
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In GSUB/GPOS tables lookups can be regular lookups which use 16 bit offsets to the children subtables
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or extension lookups which use 32 bit offsets to the children subtables. If the sub graph of all
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regular lookups is too large then it can be difficult to find an overflow free configuration. This
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can be remedied by promoting one or more regular lookups to extension lookups.
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During preprocessing the graph is scanned to determine the size of the subgraph of regular lookups.
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If the graph is found to be too big then the analysis finds a set of lookups to promote to reduce
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the subgraph size. Lastly the graph is modified to convert those lookups to extension lookups.
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# Offset Resolution Strategies
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@ -204,13 +242,13 @@ and then assign each such subgraph to a unique non-zero space. The algorithm is
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a. Pick a node `n` in set `S` then perform an undirected graph traversal and find the set `Q` of
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nodes that are reachable from `n`.
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b. During traversal if a node, `m`, has a edge to a node in space 0 then `m` must be duplicated
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to disconnect it from space 0.
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d. Remove all nodes in `Q` from `S` and assign all nodes in `Q` to `next_space`.
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c. Increment `next_space` by one.
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@ -226,40 +264,31 @@ of the overflowing link:
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* If the overflowing offset is pointing to a subtable with more than one incoming edge: duplicate
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the node so that the overflowing offset is pointing at it's own copy of that node.
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* Otherwise, attempt to move the child subtable closer to it's parent. This is accomplished by
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raising the priority of all children of the parent. Next time the topological sort is run the
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children will be ordered closer to the parent.
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# Test Cases
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The harfbuzz repacker has tests defined using generic graphs: https://github.com/harfbuzz/harfbuzz/blob/main/src/test-repacker.cc
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# Future Improvements
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The above resolution strategies are not sufficient to resolve all overflows. For example consider
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the case where a single subtable is 65k and the graph structure requires an offset to point over it.
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Currently for GPOS tables the repacker implementation is sufficient to handle both subsetting and the
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general case of font compilation repacking. However for GSUB the repacker is only sufficient for
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subsetting related overflows. To enable general case repacking of GSUB, support for splitting of
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GSUB subtables will need to be added. Other table types such as COLRv1 shouldn't require table
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splitting due to the wide use of 24 bit offsets throughout the table.
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The current harfbuzz implementation is suitable for the vast majority of subsetting related overflows.
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Subsetting related overflows are typically easy to solve since all subsets are derived from a font
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that was originally overflow free. A more general purpose version of the algorithm suitable for font
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creation purposes will likely need some additional offset resolution strategies:
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Beyond subtable splitting there are a couple of "nice to have" improvements, but these are not required
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to support the general case:
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* Extension demotion: currently extension promotion is supported but in some cases if the non-extension
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subgraph is underfilled then packed size can be reduced by demoting extension lookups back to regular
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lookups.
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* Currently only children nodes are moved to resolve offsets. However, in many cases moving a parent
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node closer to it's children will have less impact on the size of other offsets. Thus the algorithm
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should use a heuristic (based on parent and child subtable sizes) to decide if the children's
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priority should be increased or the parent's priority decreased.
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* Many subtables can be split into two smaller subtables without impacting the overall functionality.
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This should be done when an overflow is the result of a very large table which can't be moved
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to avoid offsets pointing over it.
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* Lookup subtables in GSUB/GPOS can be upgraded to extension lookups which uses a 32 bit offset.
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Overflows from a Lookup subtable to it's child should be resolved by converting to an extension
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lookup.
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Once additional resolution strategies are added to the algorithm it's likely that we'll need to
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switch to using a [backtracking algorithm](https://en.wikipedia.org/wiki/Backtracking) to explore
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the various combinations of resolution strategies until a non-overflowing combination is found. This
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will require the ability to restore the graph to an earlier state. It's likely that using a stack
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of undoable resolution commands could be used to accomplish this.
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