/*
Buildid displays or updates the build ID stored in a Go package or binary.

Usage:

	go tool buildid [-w] file

By default, buildid prints the build ID found in the named file.
If the -w option is given, buildid rewrites the build ID found in
the file to accurately record a content hash of the file.

This tool is only intended for use by the go command or
other build systems.
*/

 */
package okhttp3

import java.io.IOException
import okhttp3.Interceptor.Chain
import okio.Buffer
import okio.BufferedSink
import okio.ForwardingSink
import okio.Sink
import okio.buffer

/** Rewrites the request body sent to the server to be all uppercase.  */
class UppercaseRequestInterceptor : Interceptor {
  @Throws(IOException::class)
  override fun intercept(chain: Chain): Response {

## [Calls](https://square.github.io/okhttp/4.x/okhttp/okhttp3/-call/)

// so it was at risk of being garbage collected by the evaluation of
// testMeth(2).Pointer(), even though package unsafe's documentation
// says the original code was allowed.
//
// Now cmd/compile rewrites it to
//
//     var autotmp_1 unsafe.Pointer = unsafe.Pointer(testMeth(1).Pointer())
//     var autotmp_2 unsafe.Pointer = unsafe.Pointer(testMeth(2).Pointer())
//     check(autotmp_1, autotmp_2)
//

  let constructor = "::mlir::mhlo::CreateLegalizeTFCommunicationPass()";
  let description = [{
    A pass that legalizes TF/XLA communication ops, propagates their respective
    tokens (for ordering), and rewrites their respective functions and control
    flow ops when necessary.

    For example, given the program

    ```mlir
      func @send_to_host(%arg0: tensor<i32>) {

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

	"cmd/internal/telemetry"
)

var (
	fset     = token.NewFileSet()
	exitCode = 0
)

var allowedRewrites = flag.String("r", "",
	"restrict the rewrites to this comma-separated list")

var forceRewrites = flag.String("force", "",
	"force these fixes to run even if the code looks updated")

var allowed, force map[string]bool

var (

#include "tensorflow/core/common_runtime/optimization_registry.h"

namespace tensorflow {

// Increases the amount of "dynamism" representable by XLA clusters by rewriting
// the TensorFlow graph.  This pass does the following rewrites:
//
// Slice
// -----
//
//   Slice(op, begin, size <must be constant>) =>
//     Slice(op, begin, actual_size(op.shape(), size, begin));
//       _XlaCompileTimeConstantInputs={2}
//
// where
//

  let dependentDialects = ["tf_device::TensorFlowDeviceDialect"];
}

def XlaRewritePass : Pass<"tf-xla-rewrite", "mlir::ModuleOp"> {
  let summary = "Rewrites partition calls into Xla launch ops to make the attached function run on XLA.";

  let description = [{
    This pass rewrites `tf.PartitionedCall` and `tf.StatefulPartitionedCall`
    operations with `_xla_compile_device_type` attribute in a

                                      RewritePatternSet &patterns);

// Decompose ops.
std::unique_ptr<OperationPass<func::FuncOp>> CreateDecomposeTFOpsPass(
    std::optional<ModuleOp> tfr_module = std::nullopt);

// Rewrites quantized operands and results with their storage types.
// This pass should be run at module level after decomposition, if there are
// quantized operands or results.

include "tensorflow/compiler/mlir/tensorflow/ir/tf_ops.td"

//===----------------------------------------------------------------------===//
// TensorList transformation patterns.
// Note that the pattern below rewrites `TensorList` tensors  (which has type DT_VARIANT)
// into regular tensors. We also assume that each element in the `TensorList` has
// a same constant shape.