Dessa forma, você pode criar um token com um prazo de expiração, digamos, de 1 semana. E então, quando o usuário voltar no dia seguinte com o token, você sabe que ele ainda está logado no seu sistema.

        int referent1 = Encdec.dec_uint32le(buffer, 0);
        assertTrue(referent1 > 0); // Should be a positive referent ID

        ndrBuffer.reset();
        ndrBuffer.enc_ndr_referent(obj1, 2); // Same object, should get same referent
        assertEquals(4, ndrBuffer.getIndex());
        assertEquals(referent1, Encdec.dec_uint32le(buffer, 0));

        ndrBuffer.reset();

  ---
  Getting to Plexus-configured Mojos
  ---
  John Casey
  ---
  2005-04-29

Abstract

  We're moving toward integrating mojos as first-class plexus components, while
  at the same time avoiding introducing required plexus dependencies into the
  mojo development model.

  In order to really achieve this, we need mojo configurations (which are

    return super.asMap();
  }

  /**
   * Compares the specified object to this multimap for equality.
   *
   * <p>Two {@code ListMultimap} instances are equal if, for each key, they contain the same values
   * in the same order. If the value orderings disagree, the multimaps will not be considered equal.
   */
  @Override
  public boolean equals(@Nullable Object object) {
    return super.equals(object);
  }

For large responses, returning a `Response` directly is much faster than returning a dictionary.

This is because by default, FastAPI will inspect every item inside and make sure it is serializable as JSON, using the same [JSON Compatible Encoder](../tutorial/encoder.md){.internal-link target=_blank} explained in the tutorial. This is what allows you to return **arbitrary objects**, for example database models.

        assertTrue(reqCap.getValue() instanceof Smb2ChangeNotifyRequest);
    }

    // call() should delegate to watch() and return the same list
    @Test
    @DisplayName("call() delegates to watch() and returns same result")
    void call_delegatesToWatch() throws Exception {
        List<FileNotifyInformation> info = new ArrayList<>();
        NotifyResponse resp = mock(NotifyResponse.class);

64 sets, which is *16* 64 = 1024* drives in total.

- *If total number of nodes are of odd number then GCD algorithm provides affinity towards odd number erasure sets to provide for uniform distribution across nodes*. This is to ensure that same number of drives are pariticipating in any erasure set. For example if you have 2 nodes with 180 drives then GCD is 15 but this would lead to uneven distribution, one of the nodes would participate more drives. To avoid this the affinity is given towards...

		err = p.parseJSON(data)
		if err != nil {
			return err
		}

		if p.Version == 0 {
			// This means that policy was in the old version (without any
			// timestamp info). We fetch the mod time of the file and save
			// that as create and update date.
			p.CreateDate = objInfo.ModTime
			p.UpdateDate = objInfo.ModTime
		}

		m[policy] = p
		return nil
	}
}

  <artifactId>testvalidpom</artifactId>
  <version>0.0.1-SNAPSHOT</version>

  <description>
    This will test if the module validator recognized that this dependency with classifier
    is not the same as the module itself.
  </description>
  <dependencies>
    <dependency>
      <groupId>com.example.group</groupId>
      <artifactId>testvalidpom</artifactId>
      <version>0.0.1-SNAPSHOT</version>

  <groupId>com.example.group</groupId>
  <artifactId>testinvalidpom</artifactId>
  <version>0.0.1-SNAPSHOT</version>

  <description>
    This will test if the module validator recognized that this
    dependency is the same as the module itself.
  </description>
  <dependencies>
    <dependency>
      <groupId>com.example.group</groupId>
      <artifactId>testinvalidpom</artifactId>
      <version>0.0.1-SNAPSHOT</version>