Remove all unnecessary white spaces at the end of lines (kubeflow#2371)

* Remove all unnecessary white spaces at the end of lines

* Revert non-text files

.pylintrc

@@ -396,4 +396,4 @@ exclude-protected=_asdict,_fields,_replace,_source,_make
 
 # Exceptions that will emit a warning when being caught. Defaults to
 # "Exception"
-overgeneral-exceptions=Exception
+overgeneral-exceptions=Exception

ROADMAP.md

@@ -87,4 +87,4 @@ With a growing community of developers across Kubeflow there is a need to build/
 *   Scalable testing across platforms: GPU Testing, Different base images, multiple H/W and Cloud platforms.
 *   Upgrade testing.
 *   [Testing Issues](https://github.com/issues?utf8=%E2%9C%93&q=is%3Aopen+org%3Akubeflow+label%3Aarea%2Ftesting)
-*   [Build/Release issues](https://github.com/issues?utf8=%E2%9C%93&q=is%3Aopen+org%3Akubeflow+label%3Aarea%2Fbuild-release+)
+*   [Build/Release issues](https://github.com/issues?utf8=%E2%9C%93&q=is%3Aopen+org%3Akubeflow+label%3Aarea%2Fbuild-release+)

ack_guide.md

@@ -13,4 +13,4 @@ kfctl.sh init myapp --platform ack
 cd myapp
 kfctl.sh generate all
 kfctl.sh apply all
-```
+```

bootstrap/.gitignore

@@ -1,4 +1,4 @@
 /lib
 /.ksonnet/registries
 /app.override.yaml
-/reg_tmp/**
+/reg_tmp/**

bootstrap/DockerfileDebug

@@ -11,4 +11,4 @@ COPY --from=debug_util $GOPATH/bin/dlv $GOPATH/bin/dlv
 RUN chmod a+rx $GOPATH/bin/dlv
 COPY dlv.sh /opt/kubeflow/
 
-EXPOSE 2345
+EXPOSE 2345

bootstrap/build_image.sh

@@ -3,7 +3,7 @@
 # A simple script to build the Docker images.
 # This is intended to be invoked as a step in Argo to build the docker image.
 #
-# build_image.sh ${DOCKERFILE} ${IMAGE} ${TAG} 
+# build_image.sh ${DOCKERFILE} ${IMAGE} ${TAG}
 set -ex
 
 GCLOUD_PROJECT=${GCLOUD_PROJECT:-kubeflow-images-public}

bootstrap/cleanup.sh

@@ -9,7 +9,7 @@ namespace=$1
 kubectl get ns|grep kubeflow-admin 1>/dev/null
 if [[ $? == "0" ]]; then
   can_i=$(kubectl auth can-i delete namespace)
-  case "$can_i" in 
+  case "$can_i" in
     yes)
       echo Removing kubeflow-admin namespace
       kubectl delete ns kubeflow-admin

bootstrap/debug.sh

@@ -52,7 +52,7 @@ image=gcr.io/$GCLOUD_PROJECT/bootstrapper
 tag=latest
 port=2345
 
-case "$#" in 
+case "$#" in
   0)
      ;;
   1)

bootstrap/developer_guide.md

@@ -20,49 +20,49 @@ $ ☞  go version
 go version go1.11.2 darwin/amd64
 ```
 
-On mac osx you can run 
+On mac osx you can run
 
 ```sh
 brew upgrade golang
 ```
 
 golang-1.11.2 uses go.mod, go.sum files which include dependencies.
-To install a new dependency use `go get <dependency>`. 
+To install a new dependency use `go get <dependency>`.
 golang-1.11.2 no longer creates a vendor directory.
 You should add the environment variable `GO111MODULE=on` to your shell init file
 
 ### Makefile targets
 
 ```
-build             debug             push              
-build-local       debug-latest      push-latest       
-cleanup           
+build             debug             push
+build-local       debug-latest      push-latest
+cleanup
 ```
 
 #### `make build-local`
 Creates bin/bootstrapper with full debug information
 
-#### `make build` 
+#### `make build`
 Depends on `make build-local`. Creates a docker image gcr.io/$(GCLOUD_PROJECT)/bootstrapper:$(TAG)
 
-#### `make push` 
+#### `make push`
 Depends on `make build`. Pushes the docker image gcr.io/$(GCLOUD_PROJECT)/bootstrapper:$(TAG)
 
-#### `make push-latest` 
+#### `make push-latest`
 Depends on `make push`. Tags the docker image gcr.io/$(GCLOUD_PROJECT)/bootstrapper:$(TAG) with latest.
-Note: To use a different gcloud project than kubeflow-images-public. 
+Note: To use a different gcloud project than kubeflow-images-public.
 ```sh
-export GCLOUD_PROJECT=mygcloudproject 
+export GCLOUD_PROJECT=mygcloudproject
 make push
 ```
 
-#### `make debug` 
+#### `make debug`
 Depends on `make push` and `make cleanup`
 1. deploys a Namespace, PersistentVolumeClaim and StatefulSet using $(IMG), $(TAG), $(PORT)
 2. waits for pod kubeflow-bootstrapper-0 to be in phase 'Running'
 3. runs "kubectl port-forward ..." in the background, opening port 2345 to the pod's container
 4. wait - cleanup (kill port-forward command) on Ctrl-C
-5. when the script exits (Ctrl-C) it will kill "kubectl port-forward ..." 
+5. when the script exits (Ctrl-C) it will kill "kubectl port-forward ..."
 6. in order to clean up all resources deployed in step 1 run `make cleanup`
 
 The StatefulSet will create a pod and start the following process in the pod's kubeflow-bootstrapper-0 container

bootstrap/dlv.sh

@@ -1,3 +1,3 @@
 #!/usr/bin/env sh
 
-dlv --listen=:2345 --headless=true --api-version=2 exec /opt/kubeflow/bootstrapper -- --in-cluster --namespace=kubeflow 
+dlv --listen=:2345 --headless=true --api-version=2 exec /opt/kubeflow/bootstrapper -- --in-cluster --namespace=kubeflow

components/build_image.py

@@ -133,7 +133,7 @@ def build_tf_notebook(args):
   run(command, cwd=context_dir)
 
   if args.push_gcr:
-    run(["gcloud", "auth", "activate-service-account", "--key-file", os.environ['GOOGLE_APPLICATION_CREDENTIALS']])    
+    run(["gcloud", "auth", "activate-service-account", "--key-file", os.environ['GOOGLE_APPLICATION_CREDENTIALS']])
     run(["gcloud", "docker", "--", "push", image_name])
 
 def main():

components/centraldashboard/Makefile

@@ -35,4 +35,4 @@ push: build
 
 push-latest: push
 	gcloud container images add-tag --quiet $(IMG):$(TAG) $(IMG):latest --verbosity=info
-	echo created $(IMG):latest
+	echo created $(IMG):latest

components/centraldashboard/frontend/index/index.html

@@ -10,7 +10,7 @@
     <link rel="stylesheet" href="https://fonts.googleapis.com/css?family=Roboto:regular,bold,italic,thin,light,bolditalic,black,medium|Google+Sans&lang=en">
     <link rel="stylesheet" href="https://fonts.googleapis.com/icon?family=Material+Icons">
     <link rel="stylesheet" href="styles.css">
-    
+
     <!-- Third Party -->
     <!-- Polymer CDN Courtesy of https://github.com/download/polymer-cdn -->
     <script src="https://cdn.rawgit.com/download/polymer-cdn/2.6.0/lib/webcomponentsjs/webcomponents-loader.js"></script>
@@ -21,4 +21,4 @@
 <body>
     <main-page></main-page>
 </body>
-</html>
+</html>

components/centraldashboard/frontend/layout/index.html

@@ -12,7 +12,7 @@
     <link rel="stylesheet" href="https://fonts.googleapis.com/icon?family=Material+Icons">
     <link rel="stylesheet" href="https://code.getmdl.io/1.3.0/material.orange-light_blue.min.css" />
     <link rel="stylesheet" href="styles.css">
-  
+
     <!-- Bootstrap CSS -->
     <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/4.0.0-beta.3/css/bootstrap.min.css" integrity="sha384-Zug+QiDoJOrZ5t4lssLdxGhVrurbmBWopoEl+M6BdEfwnCJZtKxi1KgxUyJq13dy" crossorigin="anonymous">
 
@@ -28,7 +28,7 @@ <h1>Kubeflow</h1>
         <a href="/tfjobs/ui/" class="mdl-layout__tab mdl-color-text--white">TFJob Dashboard</a>
         <a href="/katib/" class="mdl-layout__tab mdl-color-text--white">Katib Dashboard</a>
         <a href="/pipeline/" class="mdl-layout__tab mdl-color-text--white">Pipeline Dashboard</a>
-      </div>  
+      </div>
     </header>
     <br>
     <br>

components/contrib/kaggle-notebook-image/Dockerfile

@@ -19,7 +19,7 @@ ENV PATH $CONDA_DIR/bin:$PATH
 # Use bash instead of sh
 SHELL ["/bin/bash", "-c"]
 
-# add https support 
+# add https support
 RUN apt-get update && apt-get install -yq --no-install-recommends apt-transport-https
 
 RUN echo "en_US.UTF-8 UTF-8" > /etc/locale.gen && \
@@ -64,7 +64,7 @@ ADD --chown=jovyan:users $GITHUB_REF/jupyter_notebook_config.py /tmp
 WORKDIR $HOME
 RUN rm -fr $(ls -A $HOME)
 
-# Get init scripts from kubeflow 
+# Get init scripts from kubeflow
 ADD --chown=jovyan:users \
     $GITHUB_REF/start-singleuser.sh \
     $GITHUB_REF/start-notebook.sh \

components/contrib/kaggle-notebook-image/README.md

@@ -6,7 +6,7 @@ Important notes:
 * this notebook is not curated by the Kubeflow project and is not regularly tested
 * the versions of TensorFlow, PyTorch, and the other libraries included may change at any time
 * this is a very large notebook, over 21 Gb in size. Since our notebook uses the latest Kaggle image, docker pulls (and notebook launches) can take a lengthy period of time.
-* the base image size for docker devicemapper is 10 Gb, which won't be large enough to run this image. Your docker daemon must be configured for at least 30 Gb (`-storage-opt dm.basesize=30G`) or use a storage driver like overlay2. 
+* the base image size for docker devicemapper is 10 Gb, which won't be large enough to run this image. Your docker daemon must be configured for at least 30 Gb (`-storage-opt dm.basesize=30G`) or use a storage driver like overlay2.
 * the Kaggle image includes TensorFlow 1.9 or greater built with AVX2 support, so the image may not run on older CPU
 * the other Kubeflow curated notebooks have the feature that the jovyan user is able to install new packages from pip or conda. Unfortunately this is not the case with the Kaggle image due to the impact on the image size due to adding a new ownership layer.
 

components/contrib/rapidsai-notebook-image/Dockerfile

@@ -18,7 +18,7 @@ ENV PATH /usr/local/nvidia/bin:$PATH
 # Use bash instead of sh
 SHELL ["/bin/bash", "-c"]
 
-# add https support 
+# add https support
 RUN apt-get update && apt-get install -yq --no-install-recommends \
     apt-transport-https locales lsb-release wget
 
@@ -66,7 +66,7 @@ ADD --chown=jovyan:users $GITHUB_REF/jupyter_notebook_config.py /tmp
 WORKDIR $HOME
 RUN rm -fr $(ls -A $HOME)
 
-# Get init scripts from kubeflow 
+# Get init scripts from kubeflow
 ADD --chown=jovyan:users \
     $GITHUB_REF/start-notebook.sh \
     $GITHUB_REF/start-singleuser.sh \

components/echo-server/Makefile

@@ -19,7 +19,7 @@ IMG = gcr.io/kubeflow-images-staging/echo-server
 PUBLIC = gcr.io/kubeflow-images-public/echo-server
 DIR := ${CURDIR}
 
-# List any changed  files. 
+# List any changed  files.
 CHANGED_FILES := $(shell git diff-files --relative=components/echo-server)
 
 ifeq ($(strip $(CHANGED_FILES)),)
@@ -43,13 +43,13 @@ build:
 # Build but don't attach the latest tag. This allows manual testing/inspection of the image
 # first.
 push: build
-	gcloud docker -- push $(IMG):$(TAG)	
+	gcloud docker -- push $(IMG):$(TAG)
 	@echo Pushed $(IMG) with  :$(TAG) tags
-	
+
 push-latest: push
 	gcloud container images add-tag --quiet $(IMG):$(TAG) $(IMG):latest --verbosity=info
 	echo created $(IMG):latest
 
 push-public: push-latest
 	gcloud container images add-tag --quiet $(IMG):$(TAG) $(PUBLIC):$(TAG) --verbosity=info
-	gcloud container images add-tag --quiet $(IMG):$(TAG) $(PUBLIC):latest --verbosity=info
+	gcloud container images add-tag --quiet $(IMG):$(TAG) $(PUBLIC):latest --verbosity=info

components/gatekeeper/Dockerfile

@@ -16,4 +16,4 @@ RUN chmod a+rx /opt/kubeflow/gatekeeper
 
 EXPOSE 8085
 
-CMD ["/opt/kubeflow/gatekeeper"]
+CMD ["/opt/kubeflow/gatekeeper"]

components/gatekeeper/README.md

@@ -11,4 +11,4 @@ golang to 1.11.2
 ```sh
 $ ☞  go version
 go version go1.11.2 darwin/amd64
-```
+```

components/gcp-click-to-deploy/README.md

@@ -3,9 +3,9 @@
 A simple react webapp to make it easy to deploy Kubeflow on GCP.
 
 The webapp is a client side javascript. The webapp provides a UI
-to guide the user through the process of specifying the 
+to guide the user through the process of specifying the
 information needed to deploy Kubeflow e.g.
-  
+
   * The project they want to use
   * The name for deployment
 
@@ -18,7 +18,7 @@ Furthermore, the app makes it easy for the user to login to Google using the
 web auth flow and obtain a credential needed to perform the necessary GCP actions.
 This is needed to perform admin tasks needed to setup Kubeflow.
 
-The credential is never sent to Kubeflow servers. The credential is stored clientside 
+The credential is never sent to Kubeflow servers. The credential is stored clientside
 in the web app and used in requests to GCP services when needed.
 
 ## Development
@@ -70,5 +70,5 @@ The script
 ```
 ./ks-app/create_gcp_deploy_sa.sh
 ```
-  
+
 Can be used to create a service account to work with external DNS.

components/gcp-click-to-deploy/ks-app/components/clusterrole-external-dns.yaml

@@ -1,16 +1,16 @@
 apiVersion: rbac.authorization.k8s.io/v1beta1
 kind: ClusterRole
 metadata:
-  name: external-dns  
+  name: external-dns
 rules:
 - apiGroups: [""]
   resources: ["services"]
   verbs: ["get","watch","list"]
 - apiGroups: [""]
   resources: ["pods"]
   verbs: ["get","watch","list"]
-- apiGroups: ["extensions"] 
-  resources: ["ingresses"] 
+- apiGroups: ["extensions"]
+  resources: ["ingresses"]
   verbs: ["get","watch","list"]
 - apiGroups: [""]
   resources: ["nodes"]

components/gcp-click-to-deploy/ks-app/components/deployment-external-dns.yaml

@@ -19,10 +19,10 @@ spec:
         - --source=service
         - --source=ingress
         # will make ExternalDNS see only the hosted zones matching provided domain, omit to process all available hosted zones
-        - --domain-filter=kubeflow.dev 
+        - --domain-filter=kubeflow.dev
         - --provider=google
         # Use this to specify a project different from the one external-dns is running inside
-        - --google-project=kubeflow-dns 
+        - --google-project=kubeflow-dns
         - --policy=upsert-only # would prevent ExternalDNS from deleting any records, omit to enable full synchronization
         - --registry=txt
         - [email protected]
@@ -36,4 +36,4 @@ spec:
       volumes:
       - name: sa
         secret:
-          secretName: gcp-sa
+          secretName: gcp-sa

components/https-redirect/Makefile

@@ -47,4 +47,4 @@ push: build
 	gcloud docker -- push $(IMG):$(TAG)
 
 push-latest: push
-	gcloud docker -- push $(IMG):$(TAG)
+	gcloud docker -- push $(IMG):$(TAG)

components/k8s-model-server/http-proxy/README.md

@@ -17,7 +17,7 @@
 
 ## Why?
 
-TF serving only supports gRPC, which means you need to have a client to be able to query it. 
+TF serving only supports gRPC, which means you need to have a client to be able to query it.
 
 This component provides web server that proxy http rest api to Tensorflow/Serving grpc.
 
@@ -59,10 +59,10 @@ or
 - **Response**:
 
 ```javascript
-{"predictions": 
+{"predictions":
 	[
-	 {"tf_model_output": "pred_value1"}, 
-	 {"tf_model_output": "pred_value2"}, 
+	 {"tf_model_output": "pred_value1"},
+	 {"tf_model_output": "pred_value2"},
 	]
 }
 
@@ -99,7 +99,7 @@ or
 - **Response**:
 
 ```javascript
-{"result": 
+{"result":
 	{"classifications": [
 				{"classes": [{"score": 0.0, "label": "0"}, {"score": 1.0, "label": "1"}]},
 				{"classes": [{"score": 0.0, "label": "0"}, {"score": 1.0, "label": "1"}]},