// Get local midnight boundary
            Calendar cal = Calendar.getInstance();

            cal.set(Calendar.HOUR_OF_DAY, 0);
            cal.set(Calendar.MINUTE, 0);
            cal.set(Calendar.SECOND, 0);
            cal.set(Calendar.MILLISECOND, 0);

            if (cal.getTime().after(lastModified)) {
                checkForUpdates = true;
            }

		}
		if _, err := io.WriteString(w.cw, h.Comment); err != nil {
			return err
		}
	}
	end := w.cw.count

	records := uint64(len(w.dir))
	size := uint64(end - start)
	offset := uint64(start)

	if f := w.testHookCloseSizeOffset; f != nil {
		f(size, offset)
	}

	if records >= uint16max || size >= uint32max || offset >= uint32max {
		var buf [directory64EndLen + directory64LocLen]byte
		b := writeBuf(buf[:])

      requestBody1.flush()
    }.also { expected ->
      assertThat(expected.message)
        .isEqualTo("stream was reset: CANCEL")
    }
    body1.awaitSuccess()

    // Second duplex request proceeds normally.
    val requestBody2 = (call.request().body as AsyncRequestBody?)!!.takeSink()
    requestBody2.writeUtf8("request body\n")
    requestBody2.close()

	c.Assert(err, nil)
	c.Assert(response.StatusCode, http.StatusOK)

	objectName := "test-multipart-object"

	// 1. Initiate 2 uploads for the same object
	// 2. Upload 2 parts for the second upload
	// 3. Abort the second upload.
	// 4. Abort the first upload.
	// This will test abort upload when there are more than one upload IDs
	// and the case where there is only one upload ID.

    * Si on compare Uvicorn, il faut le comparer à d'autre applications de serveurs comme Daphne, Hypercorn, uWSGI, etc.
* **Starlette** :
    * A les seconde meilleures performances après Uvicorn. Starlette utilise en réalité Uvicorn. De ce fait, il ne peut qu’être plus "lent" qu'Uvicorn car il requiert l'exécution de plus de code.

                        }
                }
            }
        return pairs
            .groupBy({ it.first }, { it.second })
            .mapValues { entry -> entry.value.groupBy({ it.first }, { it.second }) }
    }

    private fun readPerformanceTestConfigurations(performanceTestsCiJson: File): List<PerformanceTestConfiguration> {

> Notice the requirement of common SLA here original cluster had 1024 drives with 16 drives per erasure set with default parity of '4', second pool is expected to have a minimum of 8 drives per erasure set to match the original cluster SLA (parity count) of '4'. '12' drives stripe per erasure set in the second pool satisfies the original pool's parity count.

 * key. Since this is a default component, this will be a plain binding of ModelProcessor to
 * this implementation type; that is no hint/name.
 *
 * This leads to a second side effect in that any @Inject request for just ModelProcessor in
 * the same injector is immediately matched to this explicit binding, which means extensions

Isso é bastante simples (e não muito útil), mas irá nos ajudar a focar em como as subdependências funcionam.

## Segunda dependência, "dependable" e "dependente" { #second-dependency-dependable-and-dependant }

Então, você pode criar uma outra função para uma dependência (um "dependable") que ao mesmo tempo declara sua própria dependência (o que faz dela um "dependente" também):

				// Only proceed for local endpoints
				network[nodeName] = string(madmin.ItemOnline)
				continue
			}
			_, present := network[nodeName]
			if !present {
				if err := isServerResolvable(endpoint, 5*time.Second); err == nil {
					network[nodeName] = string(madmin.ItemOnline)
				} else {
					if xnet.IsNetworkOrHostDown(err, false) {
						network[nodeName] = string(madmin.ItemOffline)