// respect original line breaks
	var _ = []T {
		T{0x20,	"Telugu"},
	}
	var _ = []T {
		// respect original line breaks
		T{0x20,	"Telugu"},
	}
}

// use the formatted output rather than the input to decide when to align
// (was issue 4505)
const (
	short = 2 * (
	1 + 2)
	aMuchLongerName = 3
)

var (
	short = X{
	}
	aMuchLongerName = X{}

	x1 = X{} // foo
	x2 = X{

# Verify that we match correctly the input / output when they are scalar.

# CHECK-LABEL: func @main
# CHECK-SAME:  (%{{[a-z0-9]+}}: tensor<f32> {tf.device = "/device:CPU:0"})
# CHECK-SAME:  control_outputs = ""
# CHECK-SAME:  inputs = "input"
# CHECK-SAME:  outputs = "out:1,out"

  %10 = "tf.opK"() : () -> tensor<*xi16>
  %11 = "tf.opL"() : () -> tensor<*xi64>
  tf_device.replicate([%0, %1, %2] as %input0: tensor<*xi1>, %9 as %input1: tensor<*xi8>, %10 as %input2: tensor<*xi16>, [%3, %4, %5] as %input3: tensor<*xi32>, [%6, %7, %8] as %input4: tensor<*xf32>, %11 as %input5: tensor<*xi64>) {n = 3 : i32} {
    tf_device.return
  }
  func.return

// CHECK:      %[[OP_A:[a-z0-9]*]] = "tf.opA"

# RUN: tf_tfl_translate -tf-input-arrays=input -tf-input-shapes=4 -tf-input-data-types=DT_INT32 -tf-output-arrays=output %s -o - --output-mlir | FileCheck %s

node {
  name: "default"
  op: "Const"
  attr {
    key: "dtype"
    value {
      type: DT_INT32
    }
  }
  attr {
    key: "value"
    value {
      tensor {
        dtype: DT_INT32
        tensor_shape {
        }
        int_val: 0
      }
    }
  }
}

sign.input 9d61b19deffd5a60ba84:d75a980182b10ab7d54b::e5564300c360ac729086: 4ccd089b28ff96da9db6:3d4017c3e843895a92b7:72:92a009a9f0d4cab8720e: c5aa8df43f9f837bedb7:fc51cd8e6218a1a38da4:af82:6291d657deec24024827: 0d4a05b07352a5436e18:e61a185bcef2613a6c7c:cbc77b:d9868d52c2bebce5f3fa: 6df9340c138cc188b5fe:c0dac102c4533186e25d:5f4c8989:124f6fc6b0d100842769: b780381a65edf8b78f69:e253af0766804b869bb1:18b6bec097:b2fc46ad47af464478c1: 78ae9effe6f245e924a7:fbcfbfa40505d7f2be44:89010d855972:6ed629fc1d9ce9e14687:...

# RUN: tf-mlir-translate -graphdef-to-mlir %s

node {
  name: "input"
  op: "Placeholder"
  attr {
    key: "dtype"
    value {
      type: DT_BOOL
    }
  }
}

node {
  name: "func0"
  op: "func_name"
  input: "input"
}

library {
  function {
    signature {
      name: "func_name"
      input_arg {
        name: "arg0"
        type: DT_BOOL
      }
    }
    ret {

Robert Griesemer <******@****.***> 1408667113 -0700

Robert Griesemer <******@****.***> 1408667113 -0700

Daniel Martí <******@****.***> 1652048963 +0100

Robert Griesemer <******@****.***> 1485385539 -0800