--- /dev/null
+# This file is part of NIT ( http://www.nitlanguage.org ).
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# Sample program that search classes in a model
+#
+# eg.
+#
+# ~~~raw
+# get_mclasses ../../lib core::Array Array care::Arrow Fail
+# ~~~
+module get_mclasses
+
+import parser_util
+import modelbuilder
+import modelize
+import more_collections
+
+# Manage the logistic of the tool
+var tc = new ToolContext
+tc.tooldescription = "Usage: get_mclasses file qualified_class_name..."
+tc.process_options(args)
+
+# Parse the first argument to fill a model
+var model = new Model
+var mb = new ModelBuilder(model, tc)
+mb.parse_full([args.shift])
+mb.run_phases
+
+# Query remaining arguments
+for arg in args do
+ # Ask the parser to parse the argument. It's its job!
+ var n = tc.parse_something(arg)
+ if n isa AType then
+ # Only the class qualified identifier is useful
+ # We just ignore `nullable` or generic arguments.
+ var qid = n.n_qid
+ var full_name = qid.full_name
+ print "search: {full_name}"
+
+ # Iterate on all classes of the model to find one that matches the qualified name.
+ # Because we are efficient, we iterate only on the classes with the same short name.
+ var short_name = qid.n_id.text
+ var classes = model.get_mclasses_by_name(short_name)
+ var found = false
+ if classes != null then for c in classes do
+ if qid.accept(c) then
+ print " * {c.full_name}"
+ found = true
+ end
+ end
+
+ if not found then
+ # We are unlucky, maybe a misspell?
+ # Look for all classes with a similar name
+ var bests = new BestDistance[MClass](full_name.length)
+ for c in model.mclasses do
+ # Check with both the full_name and the short_name
+ var lev = full_name.levenshtein_distance(c.full_name)
+ bests.update(lev, c)
+ lev = full_name.levenshtein_distance(c.name)
+ bests.update(lev, c)
+ end
+ if bests.best_items.is_empty then
+ print " Found nothing :("
+ else
+ print " Did you mean?"
+ for c in bests.best_items do
+ print " * {c.full_name}"
+ end
+ end
+ end
+ else
+ print "`{arg}` is {n}, wanted a class name :("
+ end
+end