## 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".

So, install PassLib with Bcrypt:

<div class="termy">

```console
$ pip install "passlib[bcrypt]"

---> 100%
```

</div>

!!! tip

  /**
   * Returns a hash function implementing the Message Authentication Code (MAC) algorithm, using the
   * MD5 (128 hash bits) hash function and a {@link SecretKeySpec} created from the given byte array
   * and the MD5 algorithm.
   *
   * <p>If you are designing a new system that needs HMAC, prefer {@link #hmacSha256} or other
   * future-proof algorithms <a

                              type: object
                          type: object
                        loadBalancer:
                          description: Settings controlling the load balancer algorithms.
                          oneOf:
                          - not:
                              anyOf:
                              - required:
                                - simple

import org.apache.maven.api.model.Site;
import org.apache.maven.model.v4.MavenMerger;

/**
 * The domain-specific model merger for the Maven POM, overriding generic code from parent class when necessary with
 * more adapted algorithms.
 *
 */
public class MavenModelMerger extends MavenMerger {

    /**
     * The hint key for the child path adjustment used during inheritance for URL calculations.
     */

)

func (e VersionType) valid() bool {
	return e > invalidVersionType && e < lastVersionType
}

// ErasureAlgo defines common type of different erasure algorithms
type ErasureAlgo uint8

// List of currently supported erasure coding algorithms
const (
	invalidErasureAlgo ErasureAlgo = 0
	ReedSolomon        ErasureAlgo = 1
	lastErasureAlgo    ErasureAlgo = 2
)

func (e ErasureAlgo) valid() bool {

	Dir     bool      `json:"dir"`
	Mode    uint32    `json:"mode"`
}

// ErasureInfo holds erasure coding and bitrot related information.
type ErasureInfo struct {
	// Algorithm is the string representation of erasure-coding-algorithm
	Algorithm string `json:"algorithm"`
	// DataBlocks is the number of data blocks for erasure-coding
	DataBlocks int `json:"data"`
	// ParityBlocks is the number of parity blocks for erasure-coding

        behavior, set `inject_prefetch=True` in
        `tf.data.experimental.OptimizationOptions`.
    *   Added a new value to `tf.data.Options.autotune.autotune_algorithm`:
        `STAGE_BASED`. If the autotune algorithm is set to `STAGE_BASED`, then
        it runs a new algorithm that can get the same performance with lower
        CPU/memory usage.
    *   Added

	// Add content length condition, only accept content sizes of a given length.
	contentLengthCondStr := `["content-length-range", 1024, 1048576]`
	// Add the algorithm condition, only accept AWS SignV4 Sha256.
	algorithmConditionStr := `["eq", "$x-amz-algorithm", "AWS4-HMAC-SHA256"]`
	// Add the date condition, only accept the current date.
	dateConditionStr := fmt.Sprintf(`["eq", "$x-amz-date", "%s"]`, t.Format(iso8601DateFormat))

	{file: "myobject", offset: 1, length: 120, algorithm: SHA256, expError: errFileCorrupt},     // 4
	{file: "myobject", offset: 3, length: 1100, algorithm: SHA256, expError: nil},               // 5
	{file: "myobject", offset: 2, length: 100, algorithm: SHA256, expError: errFileCorrupt},     // 6
	{file: "myobject", offset: 1000, length: 1001, algorithm: SHA256, expError: nil},            // 7

	// formatErasureV3.Erasure.Version - version '3'.
	formatErasureVersionV3 = "3"

	// Distribution algorithm used, legacy
	formatErasureVersionV2DistributionAlgoV1 = "CRCMOD"

	// Distributed algorithm used, with N/2 default parity
	formatErasureVersionV3DistributionAlgoV2 = "SIPMOD"

	// Distributed algorithm used, with EC:4 default parity
	formatErasureVersionV3DistributionAlgoV3 = "SIPMOD+PARITY"
)