//TODO: collect all usages of available symbols in the file and prevent importing symbols that could introduce name clashes, which
        // may alter the meaning of existing code.
        val collector = ElementsToShortenCollector(
            shortenOptions,
            context,
            towerContext,
            file,
            selection,

 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *
 *   http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing,

/*
 * Copyright (C) 2011 The Android Open Source Project
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *      http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,

				if aerr == nil {
					return
				}
				batchLogIf(ctx,
					fmt.Errorf("trying %s: Unable to cleanup failed multipart replication %s on remote %s/%s: %w - this may consume space on remote cluster",
						humanize.Ordinal(attempts), res.UploadID, tgtBucket, tgtObject, aerr))
				attempts++
				time.Sleep(time.Second)
			}
		}
	}()

	var (
		hr    *hash.Reader

/* Copyright 2015 The TensorFlow Authors. All Rights Reserved.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,

		return
	}

	var (
		targetGroups []string
		err          error
	)

	// Find the user for the request sender (as it may be sent via a service
	// account or STS account):
	requestorUser := cred.AccessKey
	requestorParentUser := cred.AccessKey
	requestorGroups := cred.Groups
	requestorIsDerivedCredential := false

build:rbe_linux_cpu --repo_env=TF_PYTHON_CONFIG_REPO="@sigbuild-r2.17-clang_config_python"
build:rbe_linux_cpu --python_path="/usr/bin/python3"
# These you may need to change for your own GCP project.
common:rbe_linux_cpu --remote_instance_name=projects/tensorflow-testing/instances/default_instance

# TODO(kanglan): Remove it after toolchain update is complete.

//
//	User-Agent:
//
//	    This is ignored from signing because signing this causes problems with generating pre-signed URLs
//	    (that are executed by other agents) or when customers pass requests through proxies, which may
//	    modify the user-agent.
//
//	Authorization:
//
//	    Is skipped for obvious reasons
var ignoredHeaders = map[string]bool{
	"Authorization": true,
	"User-Agent":    true,
}

		}
	}
	return &dst, err
}

// setIdx will replace a version at a given index.
// Note that versions may become re-sorted if modtime changes.
func (x *xlMetaV2) setIdx(idx int, ver xlMetaV2Version) (err error) {
	if idx < 0 || idx >= len(x.versions) {
		return errFileNotFound
	}
	update := &x.versions[idx]

	for index := range metaArr {
		if metaArr[index].IsValid() {
			metaArr[index].ModTime = modTime
			metaArr[index].VersionID = versionID
			if !metaArr[index].InlineData() {
				// If the data is not inlined, we may end up incorrectly
				// inlining the data here, that leads to an inconsistent
				// situation where some objects are were not inlined
				// were now inlined, make sure to `nil` the Data such