// - maxSize: The maximum number of prepared statements that can be stored in the statement store.
// - ttl: The time-to-live duration for each prepared statement in the store. Statements older than this duration will be automatically removed.
//
// Returns:
// - A pointer to a PreparedStmtDB instance, which manages prepared statements using the provided connection pool and configuration.

		Version:    policy.DefaultVersion,
		Statements: getReadOnlyStatement("mybucket", "myobject*"),
	}

	case2Policy := &policy.BucketPolicy{
		Version:    policy.DefaultVersion,
		Statements: []policy.BPStatement{},
	}

	case2Result := &miniogopolicy.BucketAccessPolicy{
		Version:    policy.DefaultVersion,
		Statements: []miniogopolicy.Statement{},
	}

	case3Policy := &policy.BucketPolicy{

)

# Initialize the TensorFlow repository and all dependencies.
#
# 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.

		return stmt.Stmt.Close()
	}
	return nil
}

// Store defines an interface for managing the caching operations of SQL statements (Stmt).
// This interface provides methods for creating new statements, retrieving all cache keys,
// getting cached statements, setting cached statements, and deleting cached statements.
type Store interface {
	// New creates a new Stmt object and caches it.
	// Parameters:

	// Wait for 40 seconds to give the statements in the cache enough time to expire.
	time.Sleep(time.Second * 40)
	// Assert whether the connection pool of tx is successfully converted to the *gorm.PreparedStmtDB type.
	AssertEqual(t, ok, true)
	// Assert whether the number of statement keys stored in the PreparedStmtDB is 0 after 40 seconds.
	// If it is not 0, it means the statements in the cache have not expired as expected.

    /**
     * Closes and disposes of this {@link Invoker} instance, releasing any resources it may hold.
     * This method is called automatically when using try-with-resources statements.
     *
     * <p>The default implementation does nothing. Subclasses should override this method
     * if they need to perform cleanup operations.</p>
     *

	<ul>
	<li>there are no "break" statements referring to the "for" statement, and</li>
	<li>the loop condition is absent, and</li>
	<li>the "for" statement does not use a range clause.</li>
	</ul>
</li>

<li>
	A <a href="#Switch_statements">"switch" statement</a> in which:
	<ul>
	<li>there are no "break" statements referring to the "switch" statement,</li>
	<li>there is a default case, and</li>

	bucketPolicyTemplate := `{"Version":"2012-10-17","Statement":[{"Sid":"","Effect":"Allow","Principal":{"AWS":["*"]},"Action":["s3:GetBucketLocation","s3:ListBucket"],"Resource":["arn:aws:s3:::%s"]},{"Sid":"","Effect":"Allow","Principal":{"AWS":["*"]},"Action":["s3:GetObject"],"Resource":["arn:aws:s3:::%s/this*"]}]}`

   * without having to add {@code @SuppressWarnings}, the code can call this method.
   *
   * <p>Why <i>not</i> just add {@code SuppressWarnings}? The problem is that this method is
   * typically useful for {@code return} statements. That leaves the code with two options: Either
   * add the suppression to the whole method (which turns off checking for a large section of code),

vulnerabilities.

## Security properties of execution modes

TensorFlow has several execution modes, with Eager-mode being the default in v2.
Eager mode lets users write imperative-style statements that can be easily
inspected and debugged and it is intended to be used during the development
phase.

As part of the differences that make Eager mode easier to debug, the [shape
inference