}

            final JobProcess jobProcess = processHelper.startProcess(sessionId, cmdList, pb -> {
                pb.directory(baseDir);
                pb.redirectErrorStream(true);
            });

            final InputStreamThread it = jobProcess.getInputStreamThread();
            it.start();

* text=auto eol=lf

hack/verify-flags/known-flags.txt merge=union
test/test_owners.csv merge=union

**/zz_generated.*.go linguist-generated=true
**/types.generated.go linguist-generated=true
**/generated.pb.go linguist-generated=true
**/generated.proto
**/types_swagger_doc_generated.go linguist-generated=true
api/openapi-spec/*.json linguist-generated=true
api/openapi-spec/**/*.json linguist-generated=true

        InputStreamThread ist = null;
        try {
            final ProcessBuilder pb = new ProcessBuilder(cmdList);
            pb.directory(baseDir);
            pb.redirectErrorStream(true);

            if (logger.isDebugEnabled()) {
                logger.debug("Thumbnail Command: {}", cmdList);
            }

            p = pb.start();

#    file-prefix - a prefix match of the leaf filename (no path)
#    paths-from-repo - read a file from the repo and load file paths
#

file-prefix	zz_generated.

file-name	types.generated.go
file-name	generated.pb.go
file-name	generated.proto
file-name	types_swagger_doc_generated.go

path-prefix	vendor/

)

// Get a block.
func (p *AlignedBytePool) Get() *[]byte {
	return p.p.Get()
}

// Put a block.
func (p *AlignedBytePool) Put(pb *[]byte) {
	if pb != nil && len(*pb) == p.size {
		p.p.Put(pb)
	}
}

// WriteOnCloser implements io.WriteCloser and always
// executes at least one write operation if it is closed.
//
// This can be useful within the context of HTTP. At least

#include "tensorflow/core/framework/function.h"
#include "tensorflow/core/framework/function.pb.h"
#include "tensorflow/core/framework/graph_to_functiondef.h"
#include "tensorflow/core/framework/node_def.pb.h"
#include "tensorflow/core/framework/node_def_util.h"
#include "tensorflow/core/framework/tensor.pb.h"  // NOLINT
#include "tensorflow/core/framework/types.h"
#include "tensorflow/core/graph/graph.h"

#include "tensorflow/core/distributed_runtime/rpc/grpc_server_lib.h"
#include "tensorflow/core/framework/collective.h"
#include "tensorflow/core/framework/node_def.pb.h"
#include "tensorflow/core/framework/shape_inference.h"
#include "tensorflow/core/framework/tensor.pb.h"
#include "tensorflow/core/graph/graph.h"
#include "tensorflow/core/graph/node_builder.h"
#include "tensorflow/core/platform/blocking_counter.h"

	b.ReportAllocs()

	fsDirs, err := getRandomDisks(nDisks)
	if err != nil {
		b.Fatal(err)
	}

	endpoints := mustGetNewEndpoints(0, 16, fsDirs...)
	b.RunParallel(func(pb *testing.PB) {
		endpoints := endpoints
		for pb.Next() {
			initStorageDisksWithErrors(endpoints, storageOpts{cleanUp: false, healthCheck: false})
		}
	})

	// This effectively discards the very large initial flate setup cost,
	// as well as the initialization of bigBuf.
	runOnce(&bytes.Buffer{})
	b.ResetTimer()

	b.RunParallel(func(pb *testing.PB) {
		var buf bytes.Buffer
		for pb.Next() {
			runOnce(&buf)
		}
	})
}

func writeTestsToFS(tests []WriteTest) fs.FS {
	fsys := fstest.MapFS{}
	for _, wt := range tests {
		fsys[wt.Name] = &fstest.MapFile{

                logger.info("Crawler: \nDirectory={}\nOptions={}", baseDir, cmdList);
            }

            final JobProcess jobProcess = processHelper.startProcess(sessionId, cmdList, pb -> {
                pb.directory(baseDir);
                pb.redirectErrorStream(true);
            });

            final InputStreamThread it = jobProcess.getInputStreamThread();
            it.start();