Pero no puedes convertir del galimatías al password.

##### Por qué usar hashing de passwords { #why-use-password-hashing }

Si tu base de datos es robada, el ladrón no tendrá los passwords en texto plano de tus usuarios, solo los hashes.

Entonces, el ladrón no podrá intentar usar esos mismos passwords en otro sistema (como muchos usuarios usan el mismo password en todas partes, esto sería peligroso).

import java.nio.charset.Charset;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collection;
import java.util.Comparator;
import java.util.Currency;
import java.util.HashMap;
import java.util.HashSet;
import java.util.LinkedHashMap;
import java.util.LinkedHashSet;
import java.util.LinkedList;
import java.util.List;
import java.util.Locale;
import java.util.Map;
import java.util.NavigableMap;

    return () ->
        new Iterator<B>() {
          private final Iterator<? extends A> fromIterator = fromIterable.iterator();

          @Override
          public boolean hasNext() {
            return fromIterator.hasNext();
          }

          @Override
          public B next() {
            return convert(fromIterator.next());
          }

          @Override

The key features are:

* **Fast**: Very high performance, on par with **NodeJS** and **Go** (thanks to Starlette and Pydantic). [One of the fastest Python frameworks available](#performance).
* **Fast to code**: Increase the speed to develop features by about 200% to 300%. *
* **Fewer bugs**: Reduce about 40% of human (developer) induced errors. *

import java.nio.charset.Charset;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collection;
import java.util.Comparator;
import java.util.Currency;
import java.util.HashMap;
import java.util.HashSet;
import java.util.LinkedHashMap;
import java.util.LinkedHashSet;
import java.util.LinkedList;
import java.util.List;
import java.util.Locale;
import java.util.Map;
import java.util.NavigableMap;

- Choosing an erasure set for the object is decided during `PutObject()`, object names are used to find the right erasure set using the following pseudo code.

```go
// hashes the key returning an integer.
func sipHashMod(key string, cardinality int, id [16]byte) int {
        if cardinality <= 0 {
                return -1
        }
        sip := siphash.New(id[:])

        try (CloseableIterator<SmbResource> it = SmbEnumerationUtil.doEnum(src, "*",
                SmbConstants.ATTR_DIRECTORY | SmbConstants.ATTR_HIDDEN | SmbConstants.ATTR_SYSTEM, null, null)) {
            while (it.hasNext()) {
                try (SmbResource r = it.next()) {
                    try (SmbFile ndest = new SmbFile(dest, r.getLocator().getName(), true, r.getLocator().getType(), r.getAttributes(),

    private static final int DEFAULT_HASH_ALGORITHM = HASH_ALGO_SHA512;
    private static final int SALT_SIZE = 32; // 32 bytes as per SMB 3.1.1 spec
    private static final int HASH_SIZE_SHA512 = 64; // SHA-512 produces 64-byte hashes

    // Session-specific preauth integrity contexts
    private final ConcurrentMap<String, PreauthIntegrityContext> sessionContexts = new ConcurrentHashMap<>();

    // Security configuration

   * {@link Ordering#leastOf(Iterator, int)}, which provides a simpler API for that use case.
   */
  public void offerAll(Iterator<? extends T> elements) {
    while (elements.hasNext()) {
      offer(elements.next());
    }
  }

  /**
   * Returns the top {@code k} elements offered to this {@code TopKSelector}, or all elements if

   * @throws IllegalArgumentException if the dataset is empty
   */
  public static double meanOf(Iterator<? extends Number> values) {
    checkArgument(values.hasNext());
    long count = 1;
    double mean = values.next().doubleValue();
    while (values.hasNext()) {
      double value = values.next().doubleValue();
      count++;
      if (isFinite(value) && isFinite(mean)) {