ExcessVersions    = "alert_excess_versions"
	EnvExcessVersions = "MINIO_SCANNER_ALERT_EXCESS_VERSIONS"

	ExcessFolders    = "alert_excess_folders"
	EnvExcessFolders = "MINIO_SCANNER_ALERT_EXCESS_FOLDERS"

	// All below are deprecated in October 2022 and
	// replaced them with a single speed parameter
	Delay            = "delay"
	MaxWait          = "max_wait"
	Cycle            = "cycle"
	EnvDelay         = "MINIO_SCANNER_DELAY"

```

When a transitioned object is restored temporarily to local MinIO instance via PostRestoreObject API, the object data is copied back from the remote tier, and additional metadata for the restored object is maintained as referenced below. Once the restore period expires, the local copy of the object is removed by the scanner during its periodic runs.

```
...
        "MetaUsr": {
         "X-Amz-Restore-Expiry-Days": "4",

### 2. Set bucket WORM configuration

WORM on a bucket is enabled by setting object lock configuration. This configuration is applied to all the objects in the bucket. Below is an example to set `Governance` mode and one day retention time on `mybucket`.

```sh

See [Architecture decisions records](standards) for the list of ADRs.
Be aware these are very technical descriptions of the decisions, and you might find the documentation below more useful as an introduction to the internals of Gradle.

## Architecture overview

### Platform architecture

Gradle is arranged into several coarse-grained components called "platforms".

	// Or, a valid rule could also be either a pre-existing or a new rule that is created using PutBucketLifecycleConfiguration.
	// Prefix validation below may check that either Rule.Prefix or Rule.Filter.Prefix exist but not both.
	// Here, we assume the pre-existing rule created using PutBucketLifecycle API is already valid and won't fail the validation if Rule.Prefix is empty.

TensorFlow via the command `import tensorflow as tf`.

The primary function of this module is to import all of the public TensorFlow
interfaces into a single place. The interfaces themselves are located in
sub-modules, as described below.

Note that the file `__init__.py` in the TensorFlow source code tree is actually
only a placeholder to enable test cases to run. The TensorFlow build replaces

    echo "   --prop=val"
    echo "   --prop val     set fess property (i.e. -Des.<prop>=<val>)"
}

# Parse any long getopt options and put them into properties before calling getopt below
# Be dash compatible to make sure running under ubuntu works
ARGV=""
while [ $# -gt 0 ]
do
    case $1 in
      --help) ARGV="$ARGV -h"; shift;;
      --*=*) properties="$properties -Dfess.${1#--}"

}

type wrapperConnPool struct {
	db     *sql.DB
	got    []string
	expect []string
}

func (c *wrapperConnPool) Ping() error {
	return c.db.Ping()
}

// If you use BeginTx returned *sql.Tx as shown below then you can't record queries in a transaction.
//
//	func (c *wrapperConnPool) BeginTx(ctx context.Context, opts *sql.TxOptions) (*sql.Tx, error) {
//		 return c.db.BeginTx(ctx, opts)
//	}
//

Gradle is arranged into coarse-grained components called "architecture modules" and "platforms".
See [ADR4](standards/0004-use-a-platform-architecture.md) for a definition of these terms.

The diagram below shows the current set of architecture modules and platforms:

<!-- This diagram is generated. Use `./gradlew :architectureDoc` to update it -->
```mermaid
    graph TD

    subgraph core["core platform"]

# $TFCI_OUTPUT_DIR/script.log
exec > >(tee "$TFCI_OUTPUT_DIR/script.log") 2>&1

# Setup tfrun, a helper function for executing steps that can either be run
# locally or run under Docker. setup_docker.sh, below, redefines it as "docker
# exec".
# Important: "tfrun foo | bar" is "( tfrun foo ) | bar", not "tfrun (foo | bar)".
# Therefore, "tfrun" commands cannot include pipes -- which is