Serializable::inspect
to show more useful information
nitc :: modelbuilder
more_collections :: more_collections
Highly specific, but useful, collections-related classes.serialization :: serialization_core
Abstract services to serialize Nit objects to different formatsnitc :: toolcontext
Common command-line tool infrastructure than handle options and error messagescore :: union_find
union–find algorithm using an efficient disjoint-set data structurenitc :: api_metrics
nitc :: nitmetrics
A program that collects various metrics on nit programs and libraries
# Collect metrics about refinement usage
module refinement_metrics
import model
import metrics_base
redef class ToolContext
var refinement_metrics_phase: Phase = new RefinementMetricsPhase(self, null)
end
private class RefinementMetricsPhase
super Phase
redef fun process_mainmodule(mainmodule, given_mmodules)
do
if not toolcontext.opt_refinement.value and not toolcontext.opt_all.value then return
compute_refinement_metrics(toolcontext.modelbuilder.model)
end
end
# Print refinement usage metrics
fun compute_refinement_metrics(model: Model)
do
print "--- Metrics of refinement usage ---"
var nbmod = model.mmodules.length
print "Number of modules: {nbmod}"
print ""
var nbcla = model.mclasses.length
var nbcladef = model.mclassdef_hierarchy.length
print "Number of classes: {nbcla}"
# determine the distribution of:
# * class kinds (interface, abstract class, etc.)
# * refinex classes (vs. unrefined ones)
var kinds = new Counter[MClassKind]
var refined = 0
for c in model.mclasses do
kinds.inc(c.kind)
if c.mclassdefs.length > 1 then
refined += 1
end
end
for k in kinds.sort do
var v = kinds[k]
print " Number of {k} kind: {v} ({div(v*100,nbcla)}%)"
end
print ""
print "Number of class definitions: {nbcladef}"
print "Number of refined classes: {refined} ({div(refined*100,nbcla)}%)"
print "Average number of class refinments by classes: {div(nbcladef-nbcla,nbcla)}"
print "Average number of class refinments by refined classes: {div(nbcladef-nbcla,refined)}"
print ""
var nbprop = model.mproperties.length
var nbpropdef = 0
var redefined = 0
print "Number of properties: {model.mproperties.length}"
var pkinds = new Counter[String]
for p in model.mproperties do
nbpropdef += p.mpropdefs.length
if p.mpropdefs.length > 1 then
redefined += 1
end
pkinds.inc(p.class_name)
end
for k in pkinds.sort do
var v = pkinds[k]
print " Number of {k}: {v} ({div(v*100,nbprop)}%)"
end
print ""
print "Number of property definitions: {nbpropdef}"
print "Number of redefined properties: {redefined} ({div(redefined*100,nbprop)}%)"
print "Average number of property redefinitions by property: {div(nbpropdef-nbprop,nbprop)}"
print "Average number of property redefinitions by redefined property: {div(nbpropdef-nbprop,redefined)}"
end
src/metrics/refinement_metrics.nit:17,1--98,3