> NOTE: Server side replication is supported for idempotent versions on directory objects.

### Idempotent versions on delete markers

				host, _, err := net.SplitHostPort(getHost(r))
				if err != nil {
					host = r.Host
				}
				// Make sure to skip matching minio.<domain>` this is
				// specifically meant for operator/k8s deployment
				// The reason we need to skip this is for a special
				// usecase where we need to make sure that
				// minio.<namespace>.svc.<cluster_domain> is ignored
				// by the bucketDNS style to ensure that path style

// initialized when the provided function returns nil.

// Init represents the structure.
type Init struct {
	done uint32
	m    sync.Mutex
}

// Do is similar to sync.Once.Do - makes one successful
// call to the function. ie, it invokes the function
// if it is not successful yet.
func (l *Init) Do(f func() error) error {
	if atomic.LoadUint32(&l.done) == 0 {
		return l.do(f)
	}
	return nil
}

### Create your feature branch

Before making code changes, make sure you create a separate branch for these changes

```
git checkout -b my-new-feature
```

### Test MinIO server changes

After your code changes, make sure

- To add test cases for the new code. If you have questions about how to do it, please ask on our [Slack](https://slack.min.io) channel.
- To run `make verifiers`

func listIAMConfigItems(ctx context.Context, objAPI ObjectLayer, pathPrefix string) <-chan itemOrErr[string] {
	ch := make(chan itemOrErr[string])

	go func() {
		defer xioutil.SafeClose(ch)

		// Allocate new results channel to receive ObjectInfo.
		objInfoCh := make(chan itemOrErr[ObjectInfo])

		if err := objAPI.Walk(ctx, minioMetaBucket, pathPrefix, objInfoCh, WalkOptions{}); err != nil {
			select {

			return nil
		}, idx)
	}

	errs := g.Wait()

	// The list of buckets in a map to avoid duplication
	resultMap := make(map[string]BucketInfo)

	for poolIdx := 0; poolIdx < sys.poolsCount; poolIdx++ {
		perPoolErrs := make([]error, 0, len(sys.peerClients))
		for i, client := range sys.peerClients {
			if slices.Contains(client.GetPools(), poolIdx) {

	// The approach here is to write 8 byte sizes if needed without
	// adding a zip64 extra in the local header (too late anyway).
	var buf []byte
	if w.isZip64() {
		buf = make([]byte, dataDescriptor64Len)
	} else {
		buf = make([]byte, dataDescriptorLen)
	}
	b := writeBuf(buf)
	b.uint32(dataDescriptorSignature) // de-facto standard, required by OS X
	b.uint32(w.CRC32)
	if w.isZip64() {

# installed into a virtual environment, and then that venv is used to run all
# bazel tests with a special flag "--define=no_tensorflow_py_deps=true", which
# drops all the bazel dependencies for each py_test; this makes all the tests
# use the wheel's TensorFlow installation instead of the one made available
# through bazel. This must be done in a different root directory, //bazel_pip/...,

func shuffleDisksAndPartsMetadataByIndex(disks []StorageAPI, metaArr []FileInfo, fi FileInfo) (shuffledDisks []StorageAPI, shuffledPartsMetadata []FileInfo) {
	shuffledDisks = make([]StorageAPI, len(disks))
	shuffledPartsMetadata = make([]FileInfo, len(disks))
	distribution := fi.Erasure.Distribution

	var inconsistent int
	for i, meta := range metaArr {
		if disks[i] == nil {

///

////

/// info

In Pydantic version 1 the configuration was done in an internal class `Config`, in Pydantic version 2 it's done in an attribute `model_config`. This attribute takes a `dict`, and to get autocompletion and inline errors you can import and use `SettingsConfigDict` to define that `dict`.

///