"features": {
      "ghcr.io/devcontainers/features/java:1": {
          "version": "17"
      }
  },
  "customizations": {
      "vscode": {
          "settings": {
              "java.server.launchMode": "Standard"
          },
          "extensions": [
              "vscjava.vscode-java-pack",
              "vscjava.vscode-gradle"
          ]
      }
  }

            // Standard rights should be in bits 16-23 (0x00FF0000)
            assertTrue(ACE.DELETE >= 0x00010000 && ACE.DELETE <= 0x00FF0000, "DELETE should be in standard rights range");
            assertTrue(ACE.READ_CONTROL >= 0x00010000 && ACE.READ_CONTROL <= 0x00FF0000, "READ_CONTROL should be in standard rights range");

                    return new StandardImplForwardingSet<>(new LinkedHashSet<>(asList(elements)));
                  }
                })
            .named("ForwardingSet[LinkedHashSet] with standard implementations")
            .withFeatures(
                CollectionSize.ANY,
                CollectionFeature.ALLOWS_NULL_VALUES,
                CollectionFeature.GENERAL_PURPOSE)
            .createTestSuite());

Two file sizes are used -- regular (1.6mb, 1000 objects) and large (128mb, 100000 objects)

input size | lib | MB/s | Allocated
--- | --- | --- | ---
regular | standard | 97 | 3.6MB
regular | jstream | 175 | 2.1MB
large | standard | 92 | 305MB
large | jstream | 404 | 69MB

In a real world scenario, including initialization and reader overhead from varying blob sizes, performance can be expected as below:

                    return new StandardImplForwardingSet<>(new LinkedHashSet<>(asList(elements)));
                  }
                })
            .named("ForwardingSet[LinkedHashSet] with standard implementations")
            .withFeatures(
                CollectionSize.ANY,
                CollectionFeature.ALLOWS_NULL_VALUES,
                CollectionFeature.GENERAL_PURPOSE)
            .createTestSuite());

      "number_of_replicas": 0,
      "auto_expand_replicas": "0-1"
    },
    "analysis": {
      "analyzer": {
        "standard_analyzer": {
          "type": "custom",
          "tokenizer": "standard",
          "filter": [
            "cjk_width",
            "asciifolding",
            "lowercase",
            "stop",
            "stemmer"
          ]
        }
      }
    }
  }

Tags��PartSizes��	ը�PartASizes��	ը�Size�	ը�MTime�������MetaSys��x-minio-internal-replica-status�REPLICA�"x-minio-internal-replica-timestamp�2022-03-20T15:17:01.730949636Z�MetaUsr��content-type�application/octet-stream�x-amz-storage-class�STANDARD�X-Amz-Replication-Status�REPLICA�etag� 9587ddd31fead633830366f45d221d56�j��...

	ARN          string
	// EncryptionConfiguration TODO: not needed for MinIO
}

func (d Destination) isValidStorageClass() bool {
	if d.StorageClass == "" {
		return true
	}
	return d.StorageClass == "STANDARD" || d.StorageClass == "REDUCED_REDUNDANCY"
}

// IsValid - checks whether Destination is valid or not.
func (d Destination) IsValid() bool {
	return d.Bucket != "" || !d.isValidStorageClass()
}

ETags��PartSizes��	ը�PartASizes��	ը�Size�	ը�MTime�����çMetaSys��x-minio-internal-replica-status�REPLICA�"x-minio-internal-replica-timestamp�2022-03-20T15:15:01.584169645Z�MetaUsr��content-type�application/octet-stream�x-amz-storage-class�STANDARD�X-Amz-Replication-Status�REPLICA�etag� 9587ddd31fead633830366f45d221d56�;��...

### Just Modern Python { #just-modern-python }

It's all based on standard **Python type** declarations (thanks to Pydantic). No new syntax to learn. Just standard modern Python.

If you need a 2 minute refresher of how to use Python types (even if you don't use FastAPI), check the short tutorial: [Python Types](python-types.md){.internal-link target=_blank}.

You write standard Python with types:

```Python
from datetime import date