update docs (#73)

README.md

@@ -11,7 +11,7 @@ The current work is being split in four areas, namely Compiler, API (with corres
 To get started with contributing to KFP Tekton Compiler, please [follow these instructions](sdk/README.md), as well as look at [open issues on the repo](https://github.com/kubeflow/kfp-tekton/issues)
 
 ## KFP and Tekton: Deliverables
-Please note that all these deliverables are work in progress, and at an early stage of exploration and execution. We are using Kubeflow Pipelines  v0.2.2 and Tekton v0.10.0 for these experiments currently.
+Please note that all these deliverables are work in progress, and at an early stage of exploration and execution. We are using Kubeflow Pipelines  v0.2.2 and Tekton v0.11.0 for these experiments currently.
 
 1. [KFP, Argo and Tekton Comparision](https://docs.google.com/spreadsheets/d/1LFUy86MhVrU2cRhXNsDU-OBzB4BlkT9C0ASD3hoXqpo/edit#gid=979402121)
 2. [Equivalent Argo and Tekton Yaml for Flip Coin Sample from Kubeflow Pipeline](/samples/kfp-tekton)

sdk/README.md

@@ -4,7 +4,7 @@ There is an [SDK](https://www.kubeflow.org/docs/pipelines/sdk/sdk-overview/)
 for `Kubeflow Pipeline` for end users to define end to end machine learning and data pipelines.
 The output of the KFP SDK compiler is YAML for [Argo](https://github.com/argoproj/argo).
 
-Here we update the `Compiler` of the KFP SDK to generate `Tekton` YAML for a basic pipeline with parallal and sequential steps. Please go through these steps to ensure you are setup properly to use the compiler.
+Here we update the `Compiler` of the KFP SDK to generate `Tekton` YAML for a basic pipeline with parallel and sequential steps. Please go through these steps to ensure you are setup properly to use the compiler.
 
 ## Development Prerequisites
 

sdk/python/tests/README.md

@@ -26,7 +26,7 @@ SUCCESS: recursive_do_while.py
 SUCCESS: recursive_while.py
 FAILURE: resourceop_basic.py
 SUCCESS: sidecar.py
-FAILURE: timeout.py
+SUCCESS: timeout.py
 SUCCESS: volume.py
 FAILURE: volume_snapshotop_rokurl.py
 FAILURE: volume_snapshotop_sequential.py
@@ -41,8 +41,8 @@ SUCCESS: withparam_global_dict.py
 SUCCESS: withparam_output.py
 SUCCESS: withparam_output_dict.py
 
-Success: 17
-Failure: 13
+Success: 18
+Failure: 12
 Total:   30
 
 The compilation status report was stored in /kfp-tekton/sdk/python/tests/test_kfp_samples_report.txt