<conf name="myconf3"/>
			</artifact>
		</dependency>

		<dependency org="yourorg" name="yourmodule10" rev="10.1">
			<include name="your.*" type="jar"/>
			<include ext="xml"/>
			<exclude name="toexclude"/>
		</dependency>
		<dependency org="yourorg" name="yourmodule11" rev="11.1" conf="*->@"/>

		<exclude module="*servlet*" matcher="glob" conf="myconf1" />

    return %1#0, %1#1 : tensor<1x500x4x4xf32>, tensor<1x500x4x4xf32>
  }

        tf_device.return %2 : tensor<i1>
      }, {
        %2 = "tf.opB"() : () -> tensor<i32>
        tf_device.return %2 : tensor<i32>
      }) {} : () -> (tensor<i1>, tensor<i32>)
      tf_executor.yield %1#0, %1#1 : tensor<i1>, tensor<i32>
    }
    %3 = tf_executor.island(%0#2) {
      "tf.someOp"() : () -> ()
      tf_executor.yield
    }
    tf_executor.fetch %3 : !tf_executor.control
  }
  func.return
}

	_ = a[10:]
	_ = a[:10]
	_ = a[10:10]
	_ = a[11 /* ERRORx `index .* out of bounds` */ :]
	_ = a[: 11 /* ERRORx `index .* out of bounds` */ ]
	_ = a[: 1 /* ERROR "overflows" */ <<100]
	_ = a[:10:10]
	_ = a[:11 /* ERRORx `index .* out of bounds` */ :10]
	_ = a[:10:11 /* ERRORx `index .* out of bounds` */ ]
	_ = a[10:0 /* ERROR "invalid slice indices" */ :10]

        assertVersionOlder("1", "2.5");
        assertVersionEqual("1", "1.0");
        assertVersionEqual("1", "1.0.0");
        assertVersionOlder("1.0", "1.1");
        assertVersionOlder("1.1", "1.2");
        assertVersionOlder("1.0.0", "1.1");
        assertVersionOlder("1.1", "1.2.0");

        assertVersionOlder("1.1.2.alpha1", "1.1.2");
        assertVersionOlder("1.1.2.alpha1", "1.1.2.beta1");

            }
        """

        when:
        run "publishAllPublicationsToMavenRepo", "-Pver=1.0"
        run "publishAllPublicationsToMavenRepo", "-Pver=1.1"

        then:
        ['1.0', '1.1'].each { v ->
            def platform = mavenRepo.module("com.acme.foo", "platform", v)
            platform.assertPublished()
            platform.hasGradleMetadataRedirectionMarker()

      case 0:
        return (k == 0) ? 1 : 0;
      case 1:
        return 1;
      case (-1):
        return ((k & 1) == 0) ? 1 : -1;
      case 2:
        return (k < Integer.SIZE) ? (1 << k) : 0;
      case (-2):
        if (k < Integer.SIZE) {
          return ((k & 1) == 0) ? (1 << k) : -(1 << k);
        } else {
          return 0;
        }
      default:

        multimap.putAll("bar", asList(4, 5));
        multimap.putAll("foo", asList(6));
        multimap.putAll("baz", asList(7, 8));
        multimap.putAll("dog", asList(9));
        multimap.putAll("bar", asList(10, 11));
        multimap.putAll("cat", asList(12, 13, 14));
        return multimap.keySet().iterator();
      }

      @Override
      protected void verify(List<String> elements) {

	_ = 1. /* ERROR "integer" */ <<s == 1.

	_ = 1<<s + 1 == 1
	_ = 1 /* ERROR "integer" */ <<s + 1 == 1.
	_ = 1 /* ERROR "integer" */ <<s + 1. == 1
	_ = 1 /* ERROR "integer" */ <<s + 1. == 1.
	_ = 1. /* ERROR "integer" */ <<s + 1 == 1
	_ = 1. /* ERROR "integer" */ <<s + 1 == 1.
	_ = 1. /* ERROR "integer" */ <<s + 1. == 1
	_ = 1. /* ERROR "integer" */ <<s + 1. == 1.

	_ = 1<<s == 1<<s

        %2 = "tf._TPUDeviceOrdinalPlaceholder"() {logical_core = 0} : () -> tensor<i64>
        tf_device.return %2 : tensor<i64>
      }
      tf_executor.yield %1#0, %1#1 : tensor<i64>, tensor<i64>
    }
    tf_executor.fetch
  }
  func.return
}

// -----

// Tests tf._TPUDeviceOrdinalPlaceholder cannot be updated when device ordinal
// is missing.