chore: eliminate trivial whitespace drift from upstream (#1398)

Restores formatting in files that diverged from upstream kserve/kserve
through incidental edits - blank lines in import blocks, trailing spaces,
docstring indentation, and missing end-of-file newlines.

None of these differences carry functional intent. Aligning them with
upstream reduces noise in future syncs and makes intentional ODH-specific
changes easier to identify at a glance.

Signed-off-by: Bartosz Majsak <bartosz.majsak@gmail.com>

Author: bartoszmajsak

.github/workflows/go.yml

@@ -211,4 +211,4 @@ jobs:
               with:
                 name: master-coverage.out
                 path: master-coverage.out
-                if-no-files-found: error
+                if-no-files-found: error

README.md

@@ -40,16 +40,16 @@ Single platform that unifies Generative and Predictive AI inference on Kubernete
   * 💰 **Cost Efficient**: Scale-to-zero on expensive resources when not in use, reducing infrastructure costs
 
 ### Learn More
-To learn more about KServe, how to use various supported features, and how to participate in the KServe community,
-please follow the [KServe website documentation](https://kserve.github.io/website).
+To learn more about KServe, how to use various supported features, and how to participate in the KServe community, 
+please follow the [KServe website documentation](https://kserve.github.io/website). 
 Additionally, we have compiled a list of [presentations and demos](https://kserve.github.io/website/docs/community/presentations) to dive through various details.
 
 ### :hammer_and_wrench: Installation
 
 #### Standalone Installation
 - **[Standard Kubernetes Installation](https://kserve.github.io/website/docs/admin-guide/overview#raw-kubernetes-deployment)**: Compared to Serverless Installation, this is a more **lightweight** installation. However, this option does not support canary deployment and request based autoscaling with scale-to-zero.
 - **[Knative Installation](https://kserve.github.io/website/docs/admin-guide/overview#serverless-deployment)**: KServe by default installs Knative for **serverless deployment** for InferenceService.
-- **[ModelMesh Installation](https://kserve.github.io/website/docs/admin-guide/overview#modelmesh-deployment)**: You can optionally install ModelMesh to enable **high-scale**, **high-density** and **frequently-changing model serving** use cases.
+- **[ModelMesh Installation](https://kserve.github.io/website/docs/admin-guide/overview#modelmesh-deployment)**: You can optionally install ModelMesh to enable **high-scale**, **high-density** and **frequently-changing model serving** use cases. 
 - **[Quick Installation](https://kserve.github.io/website/docs/getting-started/quickstart-guide)**: Install KServe on your local machine.
 
 #### Kubeflow Installation

cmd/agent/main.go

@@ -400,7 +400,6 @@ func buildProbe(logger *zap.SugaredLogger, probeJSON string, autodetectHTTP2 boo
 			probe.InitialDelaySeconds = 10
 		}
 	}
-
 	if autodetectHTTP2 {
 		return readiness.NewProbeWithHTTP2AutoDetection(coreProbes)
 	}

pkg/controller/v1alpha1/inferencegraph/suite_test.go

@@ -26,7 +26,6 @@ import (
 	metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
 	"k8s.io/client-go/kubernetes"
 	"k8s.io/client-go/rest"
-
 	ctrl "sigs.k8s.io/controller-runtime"
 	"sigs.k8s.io/controller-runtime/pkg/client"
 

pkg/controller/v1beta1/inferenceservice/reconcilers/knative/ksvc_reconciler.go

@@ -20,11 +20,6 @@ import (
 	"context"
 	"strings"
 
-	"github.com/kserve/kserve/pkg/apis/serving/v1beta1"
-	"github.com/kserve/kserve/pkg/constants"
-	knutils "github.com/kserve/kserve/pkg/controller/v1alpha1/utils"
-	"github.com/kserve/kserve/pkg/utils"
-
 	"github.com/pkg/errors"
 	"google.golang.org/protobuf/proto"
 	corev1 "k8s.io/api/core/v1"
@@ -41,8 +36,12 @@ import (
 	logf "sigs.k8s.io/controller-runtime/pkg/log"
 
 	"github.com/kserve/kserve/pkg/apis/serving/v1alpha1"
+	"github.com/kserve/kserve/pkg/apis/serving/v1beta1"
+	"github.com/kserve/kserve/pkg/constants"
+	knutils "github.com/kserve/kserve/pkg/controller/v1alpha1/utils"
 	"github.com/kserve/kserve/pkg/credentials"
 	kserveTypes "github.com/kserve/kserve/pkg/types"
+	"github.com/kserve/kserve/pkg/utils"
 	"github.com/kserve/kserve/pkg/webhook/admission/pod"
 )
 

pkg/controller/v1beta1/inferenceservice/suite_test.go

@@ -27,7 +27,6 @@ import (
 	metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
 	"k8s.io/client-go/kubernetes"
 	"k8s.io/client-go/rest"
-
 	ctrl "sigs.k8s.io/controller-runtime"
 	"sigs.k8s.io/controller-runtime/pkg/client"
 
@@ -47,6 +46,7 @@ var (
 
 func TestV1beta1APIs(t *testing.T) {
 	RegisterFailHandler(Fail)
+
 	RunSpecs(t, "v1beta1 Controller Suite")
 }
 

python/kserve/test/test_v1beta1_external_metrics.py

@@ -15,12 +15,12 @@
 # coding: utf-8
 
 """
-KServe
+    KServe
 
-Python SDK for KServe  # noqa: E501
+    Python SDK for KServe  # noqa: E501
 
-The version of the OpenAPI document: v0.1
-Generated by: https://openapi-generator.tech
+    The version of the OpenAPI document: v0.1
+    Generated by: https://openapi-generator.tech
 """
 
 

python/kserve/test/test_v1beta1_pod_metrics.py

@@ -15,12 +15,12 @@
 # coding: utf-8
 
 """
-KServe
+    KServe
 
-Python SDK for KServe  # noqa: E501
+    Python SDK for KServe  # noqa: E501
 
-The version of the OpenAPI document: v0.1
-Generated by: https://openapi-generator.tech
+    The version of the OpenAPI document: v0.1
+    Generated by: https://openapi-generator.tech
 """
 
 

test/scripts/gh-actions/setup-uv.sh

@@ -34,3 +34,4 @@ fi
 echo "Creating virtual environment..."
 uv venv --clear
 source .venv/bin/activate
+