// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

package xml

import "time"

var atomValue = &Feed{
	XMLName: Name{"http://www.w3.org/2005/Atom", "feed"},
	Title:   "Example Feed",
	Link:    []Link{{Href: "http://example.org/"}},
	Updated: ParseTime("2003-12-13T18:30:02Z"),
	Author:  Person{Name: "John Doe"},

kind: ClusterRole
apiVersion: rbac.authorization.k8s.io/v1
metadata:
  name: calico
  namespace: kube-system
  labels:
    addonmanager.kubernetes.io/mode: Reconcile
rules:
  # The CNI plugin needs to get pods, nodes, and namespaces.
  - apiGroups: [""]
    resources:
      - pods
      - nodes
      - namespaces
    verbs:
      - get
  # calico/node checks configmaps for cluster CIDR.
  - apiGroups: [""]
    resources:

      - run: ./gradlew sanityCheck --no-configuration-cache -DdisableLocalCache=true ${{ needs.build.outputs.sys-prop-args }}

  unit-test:
    name: "${{ matrix.bucket.name }} (Unit Test)"
    permissions:
      contents: read
    runs-on: ubuntu-latest
    needs: build
    strategy:
      matrix:
        bucket: ${{ fromJson(needs.build.outputs.matrix) }}
      fail-fast: false
    steps:
      - name: git clone

# Text form of tensorflow.tf2xla.Config proto.
feed {
  id { node_name: "p_hold" }
  shape {}
}
feed {
  id { node_name: "x_hold" }
  shape {
    dim { size: 1 }
  }
}
feed {
  id { node_name: "y_hold" }
  shape {
    dim { size: 1 }
  }
}
fetch {
  id { node_name: "result" }

        File gradlePropertiesFile = new File(TestProjectLocator.findProjectDir(testProject), "gradle.properties")
        if (!gradlePropertiesFile.exists()) {
            throw new IllegalArgumentException("Every test project needs to provide a gradle.properties file with memory and parallelism settings")
        }
        def gradleProperties = new Properties()
        gradlePropertiesFile.withInputStream {gradleProperties.load(it) }

# Text form of tensorflow.tf2xla.Config proto.
feed {
  id { node_name: "x_const" }
  shape {
    dim { size: 1 }
  }
}
feed {
  id { node_name: "y_const" }
  shape {
    dim { size: 1 }
  }
}
fetch {
  id { node_name: "func_call" }

# Text form of tensorflow.tf2xla.Config proto.
feed {
  id { node_name: "x_hold" }
  shape {
    dim { size: <M> }
    dim { size: <K> }
  }
}
feed {
  id { node_name: "y_hold" }
  shape {
    dim { size: <K> }
    dim { size: <N> }
  }
}
fetch {
  id { node_name: "x_y_prod" }

# Text form of tensorflow.tf2xla.Config proto.
feed {
  id { node_name: "x_const" }
  shape {
    dim { size: 1 }
  }
}
feed {
  id { node_name: "y_reshape" }
  shape {
    dim { size: 1 }
  }
}
fetch {
  id { node_name: "x_y_sum" }

  opts.gen_name_to_index = true;
  opts.gen_program_shape = true;
  tf2xla::Config config;
  tf2xla::Feed* feed = config.add_feed();
  feed->mutable_id()->set_node_name("feed0");
  feed->set_name("myfeed");
  feed = config.add_feed();
  feed->mutable_id()->set_node_name("feed1");
  tf2xla::Fetch* fetch = config.add_fetch();
  fetch->mutable_id()->set_node_name("fetch0");
  fetch->set_name("myfetch");

# Text form of tensorflow.tf2xla.Config proto.
feed {
  id { node_name: "x_hold" }
  shape {
    dim { size: 2 }
    dim { size: 2 }
  }
  name: "x"
}
feed {
  id { node_name: "y_hold" }
  shape {
    dim { size: 2 }
    dim { size: 2 }
  }
  name: "y"
}
fetch {
  id { node_name: "x_y_prod" }
  name: "x_y_prod"
}
fetch {
  id { node_name: "x_y_sum" }
  name: "x_y_sum"