"loc": ["header", "x-key"],
                    "msg": "Field required",
                    "input": None,
                },
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {
            "detail": [
                {
                    "loc": ["header", "x-token"],
                    "msg": "field required",
                    "type": "value_error.missing",

    taskFilter: (Task) -> Boolean,
    /* pass the collected information in build-logic and main build to build scan */
    buildScanAction: BuildScanConfiguration.(Any, Any) -> Unit
) {
    val gradleRootProject = when {
        project.name == "gradle" -> project.rootProject
        project.rootProject.name == "build-logic" -> rootProject.gradle.parent?.rootProject
        else -> project.gradle.parent?.rootProject
    }

			b.WriteRune(v)
			continue
		}
		// v is capital letter here
		// disregard first letter
		// add underscore if last letter is capital letter
		// add underscore when previous letter is lowercase
		// add underscore when next letter is lowercase
		if (i != 0 || i == l-1) && ((i > 0 && rune(camel[i-1]) >= 'a') ||
			(i < l-1 && rune(camel[i+1]) >= 'a')) {
			b.WriteRune('_')
		}

Fess provides a [Google Search Appliance](https://enterprise.google.com/search/products/gsa.html) (GSA) compatible API. To enable this API, set `web.api.gsa=true` to system.properties. This will enable an enpoint at `<Fess Server Name>:8080/gsa`. When a search query is sent to `<Fess Server Name>:8080/gsa/?q=QUERY`, a GSA compatible response will be returned

For the more details, see the implementation code in [GsaApiManager](/src/main/java/org/codelibs/fess/api/gsa/GsaApiManager.java).

@REM   MAVEN_BATCH_PAUSE   (Optional) set to 'on' to wait for a key stroke before ending.
@REM   MAVEN_OPTS          (Optional) Java runtime options used when Maven is executed.
@REM   MAVEN_SKIP_RC       (Optional) Flag to disable loading of mavenrc files.
@REM -----------------------------------------------------------------------------

///

### What is "Mounting"

"Mounting" means adding a complete "independent" application in a specific path, that then takes care of handling all the sub-paths.

                                    "type": "string",
                                    "format": "uri",
                                }
                            )
                            # TODO: remove when deprecating Pydantic v1
                            | IsDict(
                                {
                                    "title": "Callback Url",
                                    "maxLength": 2083,

                                    ],
                                }
                            )
                            | IsDict(
                                # TODO: remove when deprecating Pydantic v1
                                {
                                    "title": "X-Token",
                                    "type": "array",

		return config.DefaultHelpPostfix(DefaultKVS, key)
	}

	// Help provides help for config values
	Help = config.HelpKVS{
		config.HelpKV{
			Key:         Bitrot,
			Description: `perform bitrot scan on drives when checking objects during scanner` + defaultHelpPostfix(Bitrot),
			Optional:    true,
			Type:        "on|off",
		},
		config.HelpKV{
			Key:         Sleep,

#
# The cascade of load() statements and tf_workspace?() calls works around the
# restriction that load() statements need to be at the top of .bzl files.
# E.g. we can not retrieve a new repository with http_archive and then load()
# a macro from that repository in the same file.
load("@//tensorflow:workspace3.bzl", "tf_workspace3")

tf_workspace3()

# Initialize hermetic Python