- [`KT-67253`](https://youtrack.jetbrains.com/issue/KT-67253) Support per-target configuration in compose-compiler-gradle-plugin
- [`KT-67006`](https://youtrack.jetbrains.com/issue/KT-67006) Create new compose compiler Gradle plugin
- [`KT-62921`](https://youtrack.jetbrains.com/issue/KT-62921) Add API to allow getting the version of the kotlinc compiler
- [`KT-61975`](https://youtrack.jetbrains.com/issue/KT-61975) Re-purpose kotlin.experimental.tryK2

are different characters.
</p>
<p>
Implementation restriction: For compatibility with other tools, a
compiler may disallow the NUL character (U+0000) in the source text.
</p>
<p>
Implementation restriction: For compatibility with other tools, a
compiler may ignore a UTF-8-encoded byte order mark
(U+FEFF) if it is the first Unicode code point in the source text.

	"os"
	"path/filepath"
	"sort"
	"strings"

	"cmd/compile/internal/abi"
	"cmd/compile/internal/base"
	"cmd/compile/internal/ir"
	"cmd/compile/internal/liveness"
	"cmd/compile/internal/objw"
	"cmd/compile/internal/reflectdata"
	"cmd/compile/internal/rttype"
	"cmd/compile/internal/ssa"
	"cmd/compile/internal/staticdata"
	"cmd/compile/internal/typecheck"
	"cmd/compile/internal/types"
	"cmd/internal/obj"
	"cmd/internal/objabi"

#include "stablehlo/dialect/ChloOps.h"  // from @stablehlo
#include "tensorflow/compiler/mlir/tensorflow/ir/tf_ops.h"
#include "tensorflow/compiler/mlir/tensorflow/utils/dynamic_shape_utils.h"
#include "tensorflow/compiler/mlir/tensorflow/utils/xla_sharding_util.h"
#include "tensorflow/compiler/mlir/tf2xla/transforms/passes.h"
#include "tensorflow/compiler/mlir/tf2xla/transforms/utils.h"
#include "xla/client/lib/conv_grad_size_util.h"

// CHECK-LABEL: strided_slice_nonconstant_begin_end
func.func @strided_slice_nonconstant_begin_end(%arg0: tensor<i32>, %arg1: tensor<32x1x97xi32>) -> (tensor<1x97xi32>) {
  // In this case, the `begin` and `end` inputs are unknown at compile time --
  // so the StridedSlice needs to slice these vectors and use that as input to
  // an HLO dynamic slice.
  %begin = "tf.Pack"(%arg0) {N = 1 : i64, T = i32, axis = 0 : i64, device = ""} : (tensor<i32>) -> tensor<1xi32>

// Code generated from _gen/PPC64.rules using 'go generate'; DO NOT EDIT.

package ssa

import "internal/buildcfg"
import "math"
import "cmd/compile/internal/types"

func rewriteValuePPC64(v *Value) bool {
	switch v.Op {
	case OpAbs:
		v.Op = OpPPC64FABS
		return true
	case OpAdd16:
		v.Op = OpPPC64ADD
		return true
	case OpAdd32:
		v.Op = OpPPC64ADD
		return true
	case OpAdd32F:
		v.Op = OpPPC64FADDS
		return true