fix typos using https://crates.io/crates/typos-cli

charts/karpenter/templates/deployment.yaml

@@ -187,13 +187,13 @@ spec:
         {{- toYaml . | nindent 8 }}
       {{- end }}
       {{- with .Values.affinity }}
-      # The template below patches the .Values.affinity to add a default label selector where not specificed
+      # The template below patches the .Values.affinity to add a default label selector where not specified
       {{- $_ := include "karpenter.patchAffinity" $ }}
       affinity:
         {{- toYaml . | nindent 8 }}
       {{- end }}
       {{- with .Values.topologySpreadConstraints }}
-      # The template below patches the .Values.topologySpreadConstraints to add a default label selector where not specificed
+      # The template below patches the .Values.topologySpreadConstraints to add a default label selector where not specified
       {{- $_ := include "karpenter.patchTopologySpreadConstraints" $ }}
       topologySpreadConstraints:
         {{- toYaml . | nindent 8 }}

designs/aks-node-bootstrap.md

@@ -103,7 +103,7 @@ Karpenter also supports provider-specific configuration via `NodeTemplate` custo
 Note that this represents part of the external configuration surface / API, and should be treated as such.
 
 <!-- TODO: cover NodeTemplate details -->
-<!-- TODO: add guidance on what belongs to settins vs NodeTemplate -->
+<!-- TODO: add guidance on what belongs to settings vs NodeTemplate -->
 
 ### Auto-detected values
 

designs/gpu-selection-and-bootstrap.md

@@ -74,7 +74,7 @@ The way we determine these drivers is via trial and error, and there is not a gr
 For Converged drivers they are a mix of multiple drivers installing vanilla cuda drivers will fail to install with opaque errors.
 nvidia-bug-report.sh may be helpful, but usually it tells you the pci card id is incompatible.
 
-So manual trial and error, or leveraging other peoples manual trial and error, and published gpu drivers seems to be the prefered method for approaching this. 
+So manual trial and error, or leveraging other peoples manual trial and error, and published gpu drivers seems to be the preferred method for approaching this. 
 see https://github.com/Azure/azhpc-extensions/blob/daaefd78df6f27012caf30f3b54c3bd6dc437652/NvidiaGPU/resources.json for the HPC list of skus and converged drivers, and the driver matrix used by HPC
 
 **Ownership:** Node SIG is responsible for ensuring successful and functional installation. Our goal is to share a bootstrap contract, and the oblication of a functional successfully bootstrapped vhd relies on the node sig. 
@@ -95,9 +95,9 @@ The NVIDIA device plugin for Kubernetes is designed to enable GPU support within
 
 We will require the customer to install the nvidia device plugin daemonset to enable GPU support through karpenter.
 
-When a node with Nvidia GPUS joins the cluster, the device plugin detects available gpus and notifies the k8s scheduler that we have a new Allocatable Resource type of `nvidia.com/gpu` along with a resource quanity that can be considered for scheduling. 
+When a node with Nvidia GPUS joins the cluster, the device plugin detects available gpus and notifies the k8s scheduler that we have a new Allocatable Resource type of `nvidia.com/gpu` along with a resource quantity that can be considered for scheduling. 
 
-Note the device plugin is also reponsible for the allocation of that resource and reporting that other pods can not use that resource and marking it as used by changing the allocatable capacity on the node.
+Note the device plugin is also responsible for the allocation of that resource and reporting that other pods can not use that resource and marking it as used by changing the allocatable capacity on the node.
 
 ## Changes to Requirements API
 

designs/k8s-node-image-upgrade.md

@@ -310,5 +310,5 @@ From template:
     design doc by carefully reviewing it or assigning a tech leads that
     are domain expert in that SIG to review and approve this doc
 
-[^6]: Q&A style meeting notes from desgin review meeting to capture
+[^6]: Q&A style meeting notes from design review meeting to capture
     todos

pkg/fake/types.go

@@ -136,7 +136,7 @@ type MockHandler[T any] struct {
 	err    error
 }
 
-// Done returns true if the LRO has reached a terminal state. TrivialHanlder is always done.
+// Done returns true if the LRO has reached a terminal state. TrivialHandler is always done.
 func (h MockHandler[T]) Done() bool {
 	return true
 }

pkg/providers/imagefamily/resolver.go

@@ -88,7 +88,7 @@ func (r Resolver) Resolve(ctx context.Context, nodeClass *v1alpha2.AKSNodeClass,
 		kubeletConfig = &corev1beta1.KubeletConfiguration{}
 	}
 
-	// TODO: revist computeResources and maxPods implementation
+	// TODO: revisit computeResources and maxPods implementation
 	kubeletConfig.KubeReserved = instanceType.Overhead.KubeReserved
 	kubeletConfig.SystemReserved = instanceType.Overhead.SystemReserved
 	kubeletConfig.EvictionHard = map[string]string{

pkg/providers/instancetype/suite_test.go

@@ -787,9 +787,9 @@ var _ = Describe("InstanceType Provider", func() {
 			Expect(ok).To(BeTrue(), "Expected nvidia.com/gpu to be present in capacity")
 			Expect(gpuQuantity.Value()).To(Equal(int64(1)))
 
-			gpuQuanityNonGPU, ok := normalNode.Capacity["nvidia.com/gpu"]
+			gpuQuantityNonGPU, ok := normalNode.Capacity["nvidia.com/gpu"]
 			Expect(ok).To(BeTrue(), "Expected nvidia.com/gpu to be present in capacity, and be zero")
-			Expect(gpuQuanityNonGPU.Value()).To(Equal(int64(0)))
+			Expect(gpuQuantityNonGPU.Value()).To(Equal(int64(0)))
 		})
 	})
 

pkg/providers/pricing/pricing.go

@@ -162,7 +162,7 @@ func (p *Provider) updatePricing(ctx context.Context) {
 	prices := map[client.Item]bool{}
 	err := p.fetchPricing(ctx, processPage(prices))
 	if err != nil {
-		logging.FromContext(ctx).Errorf("error featching updated pricing for region %s, %s, using existing pricing data, on-demand: %s, spot: %s", p.region, err, err.lastOnDemandUpdateTime.Format(time.RFC3339), err.lastSpotUpdateTime.Format(time.RFC3339))
+		logging.FromContext(ctx).Errorf("error fetching updated pricing for region %s, %s, using existing pricing data, on-demand: %s, spot: %s", p.region, err, err.lastOnDemandUpdateTime.Format(time.RFC3339), err.lastSpotUpdateTime.Format(time.RFC3339))
 		return
 	}
 

test/pkg/debug/events.go

@@ -55,7 +55,7 @@ func (c *EventClient) dumpKarpenterEvents(ctx context.Context) error {
 	if err := c.kubeClient.List(ctx, el, client.InNamespace("karpenter")); err != nil {
 		return err
 	}
-	for k, v := range coallateEvents(filterTestEvents(el.Items, c.start)) {
+	for k, v := range collateEvents(filterTestEvents(el.Items, c.start)) {
 		fmt.Print(getEventInformation(k, v))
 	}
 	return nil
@@ -71,7 +71,7 @@ func (c *EventClient) dumpPodEvents(ctx context.Context) error {
 	events := lo.Filter(filterTestEvents(el.Items, c.start), func(e v1.Event, _ int) bool {
 		return e.InvolvedObject.Namespace != "kube-system"
 	})
-	for k, v := range coallateEvents(events) {
+	for k, v := range collateEvents(events) {
 		fmt.Print(getEventInformation(k, v))
 	}
 	return nil
@@ -84,7 +84,7 @@ func (c *EventClient) dumpNodeEvents(ctx context.Context) error {
 	}); err != nil {
 		return err
 	}
-	for k, v := range coallateEvents(filterTestEvents(el.Items, c.start)) {
+	for k, v := range collateEvents(filterTestEvents(el.Items, c.start)) {
 		fmt.Print(getEventInformation(k, v))
 	}
 	return nil
@@ -103,7 +103,7 @@ func filterTestEvents(events []v1.Event, startTime time.Time) []v1.Event {
 	})
 }
 
-func coallateEvents(events []v1.Event) map[v1.ObjectReference]*v1.EventList {
+func collateEvents(events []v1.Event) map[v1.ObjectReference]*v1.EventList {
 	eventMap := map[v1.ObjectReference]*v1.EventList{}
 	for i := range events {
 		elem := events[i]