* compares, using {@link #compare(boolean, boolean)}), the first pair of values that follow any
   * common prefix, or when one array is a prefix of the other, treats the shorter array as the
   * lesser. For example, {@code [] < [false] < [false, true] < [true]}.
   *
   * <p>The returned comparator is inconsistent with {@link Object#equals(Object)} (since arrays

   * surprising for implementations of {@code HashCode} that represent the number in big-endian
   * since everything else in the hashing API uniformly treats multibyte values as little-endian.
   *
   * <p>To create a {@code HashCode} from its string representation, see {@link #fromString}.
   */
  @Override
  public final String toString() {

   * surprising for implementations of {@code HashCode} that represent the number in big-endian
   * since everything else in the hashing API uniformly treats multibyte values as little-endian.
   *
   * <p>To create a {@code HashCode} from its string representation, see {@link #fromString}.
   */
  @Override
  public final String toString() {

	}
}

// BuildCondition build condition
func (stmt *Statement) BuildCondition(query interface{}, args ...interface{}) []clause.Expression {
	if s, ok := query.(string); ok {
		// if it is a number, then treats it as primary key
		if _, err := strconv.Atoi(s); err != nil {
			if s == "" && len(args) == 0 {
				return nil
			}

			if len(args) == 0 || (len(args) > 0 && strings.Contains(s, "?")) {

So, the thief won't be able to try to use that password in another system (as many users use the same password everywhere, this would be dangerous).

## Install `passlib`

PassLib is a great Python package to handle password hashes.

It supports many secure hashing algorithms and utilities to work with them.

The recommended algorithm is "Bcrypt".

That means that any value read in Python from an environment variable will be a `str`, and any conversion to a different type or any validation has to be done in code.

## Pydantic `Settings`

Fortunately, Pydantic provides a great utility to handle these settings coming from environment variables with <a href="https://docs.pydantic.dev/latest/concepts/pydantic_settings/" class="external-link" target="_blank">Pydantic: Settings management</a>.

  // in-cluster DNS as that would be a layering violation). `host` may
  // also be an IP address.
  //
  // Please note that using `localhost` or `127.0.0.1` as a `host` is
  // risky unless you take great care to run this webhook on all hosts
  // which run an apiserver which might need to make calls to this
  // webhook. Such installs are likely to be non-portable, i.e., not easy
  // to turn up in a new cluster.
  //

	defer cancel()

	bucket := getRandomBucketName()
	err := s.client.MakeBucket(ctx, bucket, minio.MakeBucketOptions{ObjectLocking: true})
	if err != nil {
		c.Fatalf("bucket creat error: %v", err)
	}

	// Create policy, user and associate policy
	policy := "mypolicy"
	policyBytes := []byte(fmt.Sprintf(`{
  "Version": "2012-10-17",
  "Statement": [
   {

   * compares, using {@link #compare(short, short)}), the first pair of values that follow any
   * common prefix, or when one array is a prefix of the other, treats the shorter array as the
   * lesser. For example, {@code [] < [(short) 1] < [(short) 1, (short) 2] < [(short) 2]}.
   *
   * <p>The returned comparator is inconsistent with {@link Object#equals(Object)} (since arrays

   * BinaryOperator, java.util.function.Supplier)}, this Collector throws a {@code
   * NullPointerException} on null values returned from {@code valueFunction}, and treats nulls
   * returned from {@code mergeFunction} as removals of that row/column pair.
   *
   * @since 33.2.0 (available since 21.0 in guava-jre)
   */
  @SuppressWarnings("Java7ApiChecker")