limitations under the License.
*/

package parallelize

import (
	"context"
	"math"

	"k8s.io/client-go/util/workqueue"
	"k8s.io/kubernetes/pkg/scheduler/metrics"
)

// DefaultParallelism is the default parallelism used in scheduler.
const DefaultParallelism int = 16

// Parallelizer holds the parallelism for scheduler.
type Parallelizer struct {
	parallelism int
}

WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
*/

package parallelize

import (
	"fmt"
	"testing"
)

func TestChunkSize(t *testing.T) {
	tests := []struct {
		input      int
		wantOutput int
	}{
		{
			input:      32,
			wantOutput: 3,
		},
		{

WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
*/

package parallelize

import (
	"context"
	"errors"
	"testing"
)

func TestErrorChannel(t *testing.T) {
	errCh := NewErrorChannel()

	if actualErr := errCh.ReceiveError(); actualErr != nil {

WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
*/

package parallelize

import "context"

// ErrorChannel supports non-blocking send and receive operation to capture error.
// A maximum of one error is kept in the channel and the rest of the errors sent

// (limited by the size of fd_set).
//
// Go does not use select, so it should not be subject to these limits.
// On some systems the limit is 256, which is very easy to run into,
// even in simple programs like gofmt when they parallelize walking
// a file tree.
//
// After a long discussion on go.dev/issue/46279, we decided the
// best approach was for Go to raise the limit unconditionally for itself,

        return parallelize(subProjectTestClassTimes, testCoverage) { numberOfBatches ->
            if (testCoverage.os == Os.LINUX)
                ParallelizationMethod.TestDistribution
            else
                ParallelizationMethod.TeamCityParallelTests(numberOfBatches)
        }
    }

    private fun parallelize(
        subProjectTestClassTimes: List<SubprojectTestClassTime>,

== Anti-patterns:

.Don't reference other project tasks directly
--
A frequent anti-pattern to declare cross-project dependencies is below.

This publication model is unsafe and can lead to non-reproducible and hard to parallelize builds.
By declaring a dependency in this way, the task ordering between consumers and producers is not known to Gradle at the time when it is deciding the order of tasks for a given build.

#         "@absl_py//absl/testing:parameterized",
#     ],
# )
#
# tf_py_strict_test(
#     name = "quantize_model_test",
#     srcs = ["integration_test/quantize_model_test.py"],
#     shard_count = 50,  # Parallelize the test to avoid timeouts.
#     deps = [
#         ":quantization",
#         ":quantize_model_test_base",
#         "//tensorflow/compiler/mlir/quantization/common/python:testing",

## Deployment Concepts

Here you saw how to use **Gunicorn** (or Uvicorn) managing **Uvicorn worker processes** to **parallelize** the execution of the application, take advantage of **multiple cores** in the CPU, and be able to serve **more requests**.