So, during that time, the computer can go and do some other work, while "slow-file" 📝 finishes.

* Email notifications sent after performing an action:
    * As connecting to an email server and sending an email tends to be "slow" (several seconds), you can return the response right away and send the email notification in the background.
* Processing data:
    * For example, let's say you receive a file that must go through a slow process, you can return a response of "Accepted" (HTTP 202) and process the file in the background.

Böylece, bu süreçte bilgisayar "slow-file" 📝 tamamlanırken gidip başka işler yapabilir.

Sonra bilgisayar / program 🤖 her fırsatı olduğunda o noktada yaptığı tüm işleri 🤖 bitirene kadar geri dönücek. Ve 🤖 yapması gerekeni yaparak, beklediği görevlerden herhangi birinin bitip bitmediğini görecek.

You could load it at the top level of the module/file, but that would also mean that it would **load the model** even if you are just running a simple automated test, then that test would be **slow** because it would have to wait for the model to load before being able to run an independent part of the code.

// along with this program.  If not, see <http://www.gnu.org/licenses/>.

//go:build !race
// +build !race

// Tests in this file are not run under the `-race` flag as they are too slow
// and cause context deadline errors.

package cmd

import (
	"context"
	"fmt"
	"runtime"
	"testing"
	"time"

	"github.com/minio/madmin-go/v3"
	minio "github.com/minio/minio-go/v7"

            });

            cbWithMetrics.executeWithCircuitBreaker(() -> {
                try {
                    Thread.sleep(300);
                } catch (InterruptedException e) {}
                return "slow";
            });

            // Check metrics
            assertTrue(cbWithMetrics.getAverageResponseTime() > 0, "Average response time should be tracked");

	// WorkerMinLimit min number of workers per node for "slow" mode
	WorkerMinLimit = 50

	// WorkerAutoDefault is default number of workers for "auto" mode
	WorkerAutoDefault = 100

	// MRFWorkerMaxLimit max number of mrf workers per node for "fast" mode
	MRFWorkerMaxLimit = 8

	// MRFWorkerMinLimit min number of mrf workers per node for "slow" mode
	MRFWorkerMinLimit = 2

### Creating the `Settings` only once with `lru_cache` { #creating-the-settings-only-once-with-lru-cache }

Reading a file from disk is normally a costly (slow) operation, so you probably want to do it only once and then reuse the same settings object, instead of reading it for each request.

But every time we do:

```Python
Settings()
```

# LINUX ARM64 PYCPP
# In Linux Arm64 presubmit/continuous build, we cross-compile the binaries on
# Linux x86 so that we can use RBE. Since tests still need to run on the single
# host Arm64 machine, the build becomes too slow (~30 min) to be a presubmit.
# For testing purposes, we want to see the runtime performance of an
# experimental job that is build-only, i.e, we only build the test targets and

		writeErrorResponseJSON(ctx, w, errorCodes.ToAPIErr(ErrInvalidRequest), r.URL)
		return
	}
	setEventStreamHeaders(w)

	// Trace Publisher and peer-trace-client uses nonblocking send and hence does not wait for slow receivers.
	// Keep 100k buffered channel.
	// If receiver cannot keep up with that we drop events.
	traceCh := make(chan []byte, 100000)
	peers, _ := newPeerRestClients(globalEndpoints)