* `discriminator`
    * `strict`
    * `multiple_of`
    * `allow_inf_nan`
    * `max_digits`
    * `decimal_places`
    * `json_schema_extra`

...you can read about them in the Pydantic docs.

* The parameter `regex` has been deprecated and replaced by `pattern`.

  // 1) nullptr indicates tensor is compact and row-majored.
  // 2) fill in the strides array as the real case for compact row-major data.
  // Here we choose option 2, since some frameworks didn't handle the strides
  // argument properly.
  dlm_tensor->dl_tensor.strides = stride_arr->data();

  dlm_tensor->dl_tensor.byte_offset =
      0;  // TF doesn't handle the strides and byte_offsets here
  return static_cast<void*>(dlm_tensor);
}

	}
	return
}

func testReadLine(t *testing.T, input []byte) {
	//for stride := 1; stride < len(input); stride++ {
	for stride := 1; stride < 2; stride++ {
		done := 0
		reader := testReader{input, stride}
		l := NewReaderSize(&reader, len(input)+1)
		for {
			line, isPrefix, err := l.ReadLine()
			if len(line) > 0 && err != nil {
				t.Errorf("ReadLine returned both data and error: %s", err)
			}

	}
	fi.Metadata = make(map[string]string, len(j.MetaSys))
	for k, v := range j.MetaSys {
		fi.Metadata[k] = string(v)
	}

	fi.ReplicationState = GetInternalReplicationState(j.MetaSys)
	if j.FreeVersion() {
		fi.SetTierFreeVersion()
		fi.TransitionTier = string(j.MetaSys[metaTierName])
		fi.TransitionedObjName = string(j.MetaSys[metaTierObjName])
		fi.TransitionVersionID = string(j.MetaSys[metaTierVersionID])
	}

        This dependency is strict about it. If you want to be permissive, use instead the
        OAuth2PasswordRequestForm dependency class.
    username: username string. The OAuth2 spec requires the exact field name "username".
    password: password string. The OAuth2 spec requires the exact field name "password".

	}

	opts.Tags = map[string]string{
		"healObject": auditObjectOp{
			Name: opts.Object,
			Pool: er.poolIndex + 1,
			Set:  er.setIndex + 1,
		}.String(),
	}

	auditLogInternal(ctx, opts)
}

// Heals an object by re-writing corrupt/missing erasure blocks.

}

func (m *batchJobMetrics) delete(jobID string) {
	m.Lock()
	defer m.Unlock()

	delete(m.metrics, jobID)
}

func (m *batchJobMetrics) save(jobID string, ri *batchJobInfo) {
	m.Lock()
	defer m.Unlock()

	m.metrics[jobID] = ri.clone()
}

type objTraceInfoer interface {
	TraceObjName() string
	TraceVersionID() string
}

	// ILMTransition - audit trail for ILM transitioning.
	ILMTransition = " ilm:transition"
)

func auditLogLifecycle(ctx context.Context, oi ObjectInfo, event string, tags map[string]string, traceFn func(event string, metadata map[string]string, err error)) {
	var apiName string
	switch event {
	case ILMExpiry:
		apiName = "ILMExpiry"
	case ILMFreeVersionDelete:
		apiName = "ILMFreeVersionDelete"
	case ILMTransition:

func anonymizeHost(hostAnonymizer map[string]string, endpoint Endpoint, poolNum int, srvrNum int) {
	if len(endpoint.Host) == 0 {
		return
	}

	currentURL := endpoint.String()

	// mapIfNotPresent - Maps the given key to the value only if the key is not present in the map
	mapIfNotPresent := func(m map[string]string, key string, val string) {
		_, found := m[key]
		if !found {
			m[key] = val

	const BatchSize = 250 // We process the objects in batches - 250 is a reasonable default.
	var (
		metadata = make([]map[string]string, 0, BatchSize)
		buckets  = make([]string, 0, BatchSize)
		names    = make([]string, 0, BatchSize)
	)
	for len(objects) > 0 {
		N := BatchSize
		if len(objects) < BatchSize {
			N = len(objects)
		}
		batch := objects[:N]