yName||!e.getElementsByName(u).length}),c.getById?(d.find.ID=function(a,b){if(typeof b.getElementById!==C&&p){var c=b.getElementById(a);return c&&c.parentNode?[c]:[]}},d.filter.ID=function(a){var b=a.replace(cb,db);return function(a){return a.getAttribute("id")===b}}):(delete d.find.ID,d.filter.ID=function(a){var b=a.replace(cb,db);return function(a){var c=typeof a.getAttributeNode!==C&&a.getAttributeNode("id");return c&&c.value===b}}),d.find.TAG=c.getElementsByTagName?function(a,b){return typeof...

```

If you set an empty lookup bind password, the lookup bind will use the unauthenticated authentication mechanism, as described in [RFC 4513 Section 5.1.2](https://tools.ietf.org/html/rfc4513#section-5.1.2).

### User lookup

* 📝 Add External Link: ML serving and monitoring with FastAPI and Evidently. PR [#9701](https://github.com/tiangolo/fastapi/pull/9701) by [@mnrozhkov](https://github.com/mnrozhkov).
* 📝 Reword in docs, from "have in mind" to "keep in mind". PR [#10376](https://github.com/tiangolo/fastapi/pull/10376) by [@malicious](https://github.com/malicious).

    input_tensors->emplace_back(node, idx);

    const auto& iter = input_nodes->find(node);
    if (iter == input_nodes->end()) {
      input_nodes->insert({node, {idx}});
    } else {
      auto& indices = iter->second;
      if (std::find(indices.begin(), indices.end(), idx) != indices.end()) {
        return InvalidArgument("TF_Output ", node->name(), ":", idx,

	modelType := reflect.ValueOf(dest).Type()
	if modelType.Kind() == reflect.Ptr {
		modelType = modelType.Elem()
	}

	if modelType.Kind() != reflect.Struct {
		if modelType.Kind() == reflect.Interface {
			modelType = reflect.Indirect(reflect.ValueOf(dest)).Elem().Type()
		}

		for modelType.Kind() == reflect.Slice || modelType.Kind() == reflect.Array || modelType.Kind() == reflect.Ptr {
			modelType = modelType.Elem()
		}

dget.yaml {{- if .Values.podDisruptionBudget.enabled }} apiVersion: policy/v1beta1 kind: PodDisruptionBudget metadata: name: minio labels: app: {{ template "minio.name" . }} spec: maxUnavailable: {{ .Values.podDisruptionBudget.maxUnavailable }} selector: matchLabels: app: {{ template "minio.name" . }} {{- end }} minio/templates/post-install-create-bucket-job.yaml {{- if .Values.buckets }} apiVersion: batch/v1 kind: Job metadata: name: {{ template "minio.fullname" . }}-make-bucket-job labels: app:...

dget.yaml {{- if .Values.podDisruptionBudget.enabled }} apiVersion: policy/v1beta1 kind: PodDisruptionBudget metadata: name: minio labels: app: {{ template "minio.name" . }} spec: maxUnavailable: {{ .Values.podDisruptionBudget.maxUnavailable }} selector: matchLabels: app: {{ template "minio.name" . }} {{- end }} minio/templates/post-install-create-bucket-job.yaml {{- if .Values.buckets }} apiVersion: batch/v1 kind: Job metadata: name: {{ template "minio.fullname" . }}-make-bucket-job labels: app:...

dget.yaml {{- if .Values.podDisruptionBudget.enabled }} apiVersion: policy/v1beta1 kind: PodDisruptionBudget metadata: name: minio labels: app: {{ template "minio.name" . }} spec: maxUnavailable: {{ .Values.podDisruptionBudget.maxUnavailable }} selector: matchLabels: app: {{ template "minio.name" . }} {{- end }} minio/templates/post-install-create-bucket-job.yaml {{- if .Values.buckets }} apiVersion: batch/v1 kind: Job metadata: name: {{ template "minio.fullname" . }}-make-bucket-job labels: app:...

dget.yaml {{- if .Values.podDisruptionBudget.enabled }} apiVersion: policy/v1beta1 kind: PodDisruptionBudget metadata: name: minio labels: app: {{ template "minio.name" . }} spec: maxUnavailable: {{ .Values.podDisruptionBudget.maxUnavailable }} selector: matchLabels: app: {{ template "minio.name" . }} {{- end }} minio/templates/post-install-create-bucket-job.yaml {{- if .Values.buckets }} apiVersion: batch/v1 kind: Job metadata: name: {{ template "minio.fullname" . }}-make-bucket-job labels: app:...

<pre>
min(x, y)    == min(y, x)
min(x, y, z) == min(min(x, y), z) == min(x, min(y, z))
</pre>

<p>
For floating-point arguments negative zero, NaN, and infinity the following rules apply:
</p>

<pre>
   x        y    min(x, y)    max(x, y)

  -0.0    0.0         -0.0          0.0    // negative zero is smaller than (non-negative) zero