// - 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.

{{- $statements_length := len .statements -}}
{{- $statements_length := sub $statements_length 1 -}}
{
  "Version": "2012-10-17",
  "Statement": [
{{- range $i, $statement := .statements }}
    {
      "Effect": "{{ $statement.effect | default "Allow" }}",
      "Action": [
"{{ $statement.actions | join "\",\n\"" }}"
      ]{{ if $statement.resources }},
      "Resource": [
"{{ $statement.resources | join "\",\n\"" }}"
      ]{{ end }}

		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{

register_toolchains("@rules_ml_toolchain//cc:linux_aarch64_linux_aarch64_cuda")

# 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:

    /**
     * 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>
     *

	// 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.

Create functions with a name that starts with `test_` (this is standard `pytest` conventions).

Use the `TestClient` object the same way as you do with `httpx`.

Write simple `assert` statements with the standard Python expressions that you need to check (again, standard `pytest`).

{* ../../docs_src/app_testing/tutorial001_py39.py hl[2,12,15:18] *}

/// tip

## Conflict Resolution

Conflicts in an open source project can take many forms, from someone having a bad day and using harsh and hurtful language in the issue queue, to more serious instances such as sexist/racist statements or threats of violence, and everything in between.

If the behavior is threatening or harassing, or for other reasons requires immediate escalation, please see below.

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