Finds the path from the given list that can convert the given type to the given preferences. If there are multiple matches the one with the highest result weight gets chosen. Will return undefined if there are no matches.
Finds a conversion path that can handle the given input, either in the cache or by generating a new one.
Tries to generate the optimal and shortest ConversionPath
that supports the given parameters,
which will then be used to instantiate a specific MatchedPath
for those parameters.
Errors if such a path does not exist.
Creates a new ValuePreferences object, which is equal to the input object with all values multiplied by the given weight.
Finds all converters in the given list that support taking any of the given types as input.
Finds all converters that could take the output of the given path as input. For each of these converters a new path gets created which is the input path appended by the converter.
A meta converter that takes an array of other converters as input. It chains these converters by finding a path of converters that can go from the given content-type to the given type preferences. In case there are multiple paths, the shortest one with the highest weight gets found. Will error in case no path can be found.
Generated paths get stored in an internal cache for later re-use on similar requests. Note that due to this caching
RepresentationConverter
s that change supported input/output types at runtime are not supported, unless cache size is set to 0.This is not a TypedRepresentationConverter since the supported output types might depend on what is the input content-type.
Some suggestions on how this class can be even more optimized should this ever be needed in the future. Most of these decrease computation time at the cost of more memory.