Like `item.model_dump(exclude_unset=True)`.

/// info

In Pydantic v1 the method was called `.dict()`, it was deprecated (but still supported) in Pydantic v2, and renamed to `.model_dump()`.

The examples here use `.dict()` for compatibility with Pydantic v1, but you should use `.model_dump()` instead if you can use Pydantic v2.

///

    TARGET_ARCH=arm
elif [[ ${LOCAL_ARCH} == s390x ]]; then
    TARGET_ARCH=s390x
elif [[ ${LOCAL_ARCH} == ppc64le ]]; then
    TARGET_ARCH=ppc64le
else
    echo "This system's architecture, ${LOCAL_ARCH}, isn't supported"
    exit 1
fi

LOCAL_OS=$(uname)

# Pass environment set target operating-system to build system
if [[ ${TARGET_OS} ]]; then
    # Target explicitly set
    :
elif [[ $LOCAL_OS == Linux ]]; then

of selectors to accommodate both [equality-based selectors](http://kubernetes.io/docs/user-guide/labels/#equality-based-requirement) supported by ReplicationControllers and [set-based selectors](http://kubernetes.io/docs/user-guide/labels/#set-based-requirement) supported by Deployments and ReplicaSets.
  * “kubectl run” now produces Deployments (instead of ReplicationControllers) and
Jobs (instead of Pods) by default.

  GENERAL_PURPOSE(
      CollectionFeature.GENERAL_PURPOSE,
      SUPPORTS_SET,
      SUPPORTS_ADD_WITH_INDEX,
      SUPPORTS_REMOVE_WITH_INDEX),

  /** Features supported by lists where only removal is allowed. */
  REMOVE_OPERATIONS(CollectionFeature.REMOVE_OPERATIONS, SUPPORTS_REMOVE_WITH_INDEX);

  private final Set<Feature<? super List>> implied;

	return err.message
}

func errInvalidJSONType(err error) *s3Error {
	return &s3Error{
		code:       "InvalidJsonType",
		message:    "The JsonType is invalid. Only DOCUMENT and LINES are supported.",
		statusCode: 400,
		cause:      err,
	}
}

func errJSONParsingError(err error) *s3Error {
	return &s3Error{
		code:       "JSONParsingError",

    package from source.

## Continuous build status

You can find more community-supported platforms and configurations in the
[TensorFlow SIG Build community builds table](https://github.com/tensorflow/build#community-supported-tensorflow-builds).

### Official Builds

package cmd

import (
	"bytes"
	"testing"
)

func TestValidateBucketSSEConfig(t *testing.T) {
	testCases := []struct {
		inputXML    string
		expectedErr error
		shouldPass  bool
	}{
		// MinIO supported XML
		{
			inputXML: `<ServerSideEncryptionConfiguration xmlns="http://s3.amazonaws.com/doc/2006-03-01/">
			<Rule>
			<ApplyServerSideEncryptionByDefault>
			<SSEAlgorithm>AES256</SSEAlgorithm>

#      createdAfter: "date" # match objects created after "date"
#      createdBefore: "date" # match objects created before "date"

      ## NOTE: tags are not supported when "source" is remote.
      tags:
         - key: "name"
           value: "pick*" # match objects with tag 'name', with all values starting with 'pick'

      metadata:
         - key: "content-type"

	// verify whether the required query params exist.
	aec = doesV4PresignParamsExist(query)
	if aec != ErrNone {
		return psv, aec
	}

	// Verify if the query algorithm is supported or not.
	if query.Get(xhttp.AmzAlgorithm) != signV4Algorithm {
		return psv, ErrInvalidQuerySignatureAlgo
	}

	// Initialize signature version '4' structured header.
	preSignV4Values := preSignValues{}

// From Veeam-SOSAPI_1.0_Document_v1.02d.pdf
// - SOSAPI Protocol Version
// - Model Name of the vendor plus version for statistical analysis.
// - List of Smart Object Storage protocol capabilities supported by the server.
// Currently, there are three capabilities supported:
//   - Capacity Reporting
//   - Backup data locality for upload sessions (Veeam Smart Entity)