details == 'If you don\'t declare the normalization, outputs can\'t be re-used between machines or locations on the same machine, therefore caching efficiency drops significantly'
            solutions == [ 'Declare the normalization strategy by annotating the property with either @PathSensitive, @Classpath or @CompileClasspath' ]

import org.codelibs.fess.util.BooleanFunction;
import org.codelibs.fess.util.ComponentUtil;
import org.codelibs.fess.util.QueryResponseList;
import org.dbflute.optional.OptionalEntity;
import org.dbflute.optional.OptionalThing;
import org.dbflute.util.DfTypeUtil;
import org.lastaflute.taglib.function.LaFunctions;
import org.lastaflute.web.util.LaRequestUtil;
import org.opensearch.OpenSearchException;

   * IOException}, {@code RuntimeException} or {@code Error}. Otherwise, it will be rethrown wrapped
   * in a {@code RuntimeException}. <b>Note:</b> Be sure to declare all of the checked exception
   * types your try block can throw when calling an overload of this method so as to avoid losing
   * the original exception type.
   *

## Rendre ce paramètre requis

Quand on ne déclare ni validation, ni métadonnée, on peut rendre le paramètre `q` requis en ne lui déclarant juste aucune valeur par défaut :

```Python
q: str
```

à la place de :

```Python
q: Union[str, None] = None
```

Mais maintenant, on déclare `q` avec `Query`, comme ceci :

```Python

* Many other types extend `Provider` and can be used wherever a `Provider` is required.

[[managed_properties]]
== Using Gradle Managed Properties

Gradle's managed properties allow you to declare properties as abstract getters (Java, Groovy) or abstract properties (Kotlin).

Gradle then automatically provides the implementation for these properties, managing their state.

We can do better...

## What makes a dependency

Up to now you have seen dependencies declared as functions.

But that's not the only way to declare dependencies (although it would probably be the more common).

The key factor is that a dependency should be a "callable".

A "**callable**" in Python is anything that Python can "call" like a function.

If there is no conflict (e.g. only `google-collections` or only `guava` in the graph) the replacement information is not used.

Currently it is not possible to declare that a given module is replaced by a set of modules.
However, it is possible to declare that multiple modules are replaced by a single module.

[[sec:dependency_substitution_rules]]
== Using dependency substitution rules

   * IOException}, {@code RuntimeException} or {@code Error}. Otherwise, it will be rethrown wrapped
   * in a {@code RuntimeException}. <b>Note:</b> Be sure to declare all of the checked exception
   * types your try block can throw when calling an overload of this method so as to avoid losing
   * the original exception type.
   *

			if ident, _ := lhs.(*identType); ident != nil {
				// declare new variable
				name := identName(ident)
				obj = NewVar(ident.Pos(), check.pkg, name, nil)
				check.recordDef(ident, obj)
				// _ variables don't count as new variables
				if name != "_" {
					vars = append(vars, obj)
				}
			} else {
				check.errorf(lhs, InvalidSyntaxTree, "cannot declare %s", lhs)

			check.processDelayed(top)

			// declare all variables
			// (only at this point are the variable scopes (parents) set)
			scopePos := syntax.EndPos(s) // see constant declarations
			for i, name := range s.NameList {
				// see constant declarations
				check.declare(check.scope, name, lhs0[i], scopePos)
			}

		case *syntax.TypeDecl: