// Copyright 2020 The Go Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

package strconv

// FormatComplex converts the complex number c to a string of the
// form (a+bi) where a and b are the real and imaginary parts,
// formatted according to the format fmt and precision prec.
//
// The format fmt and precision prec have the same meaning as in [FormatFloat].

include "mlir/Dialect/Func/IR/FuncOps.td"
include "mlir/Dialect/Arith/IR/ArithOps.td"
include "tensorflow/compiler/mlir/quantization/common/attrs_and_constraints.td"
include "tensorflow/compiler/mlir/tensorflow/ir/tf_ops.td"

// Converts tf.Const to arith.constant for statically shaped, non-opaque constants.
// Needed for QuantizationDriver to recognize constants.
def ConvertTfConstToArithConst : Pat<
  (TF_ConstOp:$res DenseElementsAttr:$value),

include "mlir/Dialect/Func/IR/FuncOps.td"
include "mlir/Dialect/Arith/IR/ArithOps.td"
include "tensorflow/compiler/mlir/quantization/common/attrs_and_constraints.td"
include "tensorflow/compiler/mlir/tensorflow/ir/tf_ops.td"

// Converts reamaining arith.constant ops from quantization passes back to
// tf.Const ops.
def ConvertArithConstToTfConst : Pat<
  (Arith_ConstantOp:$res DenseElementsAttr:$value),
  (TF_ConstOp $value),

	}
	if err == nil {
		prepareStaticVariables(config)
	}
	return config, err
}

// LoadResetConfigurationFromFile loads versioned ResetConfiguration from file, converts it to internal, defaults and validates it
func LoadResetConfigurationFromFile(cfgPath string, opts LoadOrDefaultConfigurationOptions) (*kubeadmapi.ResetConfiguration, error) {
	klog.V(1).Infof("loading configuration from %q", cfgPath)

		// If the scalar is out of range, sample another random number.
		if new(big.Int).SetBytes(priv).Cmp(N) >= 0 {
			continue
		}

		x, y = curve.ScalarBaseMult(priv)
	}
	return
}

// Marshal converts a point on the curve into the uncompressed form specified in
// SEC 1, Version 2.0, Section 2.3.3. If the point is not on the curve (or is
// the conventional point at infinity), the behavior is undefined.
//

	}
	r, g, b, a := c.RGBA()

	// Convert from alpha-premultiplied to non-alpha-premultiplied.
	if a != 0 {
		r = (r * 0xffff) / a
		g = (g * 0xffff) / a
		b = (b * 0xffff) / a
	}

	y, u, v := RGBToYCbCr(uint8(r>>8), uint8(g>>8), uint8(b>>8))
	return NYCbCrA{YCbCr{Y: y, Cb: u, Cr: v}, uint8(a >> 8)}
}

// RGBToCMYK converts an RGB triple to a CMYK quadruple.

}

def UniformQuantizedStableHloToTflPass
    : Pass<"uniform-quantized-stablehlo-to-tfl", "mlir::func::FuncOp"> {
  let summary = "Converts StableHLO ops using uniform quantized types to equivalent TFL ops.";
  let constructor = "mlir::odml::CreateUniformQuantizedStableHloToTflPass()";
  let description = [{
    Converts StableHLO ops that accept or return uniform quantized types to
    equivalent ops in the TFLite dialect.
  }];

	kubeadmscheme.Scheme.Default(versionedInitCfg)
	if err := kubeadmscheme.Scheme.Convert(versionedInitCfg, internalcfg, nil); err != nil {
		return nil, err
	}

	kubeadmscheme.Scheme.Default(versionedClusterCfg)
	if err := kubeadmscheme.Scheme.Convert(versionedClusterCfg, &internalcfg.ClusterConfiguration, nil); err != nil {
		return nil, err
	}

// variables instead).
std::unique_ptr<OperationPass<ModuleOp>>
CreateRemoveVariableInitializationByConstPass();

// Creates a pass that converts Tensorflow Xla ops to non-Xla ops.
std::unique_ptr<OperationPass<func::FuncOp>> CreateConvertTfXlaOpToTfOpPass();

// Creates a pass that converts TPU models for CPU by removing TPU related ops
// such as TPUPartitionedCall, TPUReplicatedOp, etc. The TF quantizer does not

/**
 * Utility class for saving Java versions in Eclipse descriptors.
 */
public class EclipseJavaVersionMapper {

    private EclipseJavaVersionMapper() {
    }

    /**
     * Converts the target Java version to its Eclipse-specific representation.
     *
     * @param version the target Java version
     * @return the Eclipse-specific representation of the version
     */