xioutil "github.com/minio/minio/internal/ioutil"
	"github.com/minio/pkg/v3/randreader"
)

// SpeedTestResult return value of the speedtest function
type SpeedTestResult struct {
	Endpoint      string
	Uploads       uint64
	Downloads     uint64
	UploadTimes   madmin.TimeDurations
	DownloadTimes madmin.TimeDurations
	DownloadTTFB  madmin.TimeDurations
	Error         string
}

func newRandomReader(size int) io.Reader {

	ReplicatedCount int64 `json:"replicationCount"`
	// Replication latency information
	Latency ReplicationLatency `json:"replicationLatency"`
	// transfer rate for large uploads
	XferRateLrg *XferStats `json:"largeTransferRate" msg:"lt"`
	// transfer rate for small uploads
	XferRateSml *XferStats `json:"smallTransferRate" msg:"st"`
	// Endpoint is the replication target endpoint
	Endpoint string `json:"-"`

				batch[i].ETag = ETag.Format().String()
			}
		}
		objects = objects[N:]
	}
	return nil
}

// isMultipart returns true if the current object is
// uploaded by the user using multipart mechanism:
// initiate new multipart, upload part, complete upload
func (o *ObjectInfo) isMultipart() bool {
	_, encrypted := crypto.IsEncrypted(o.UserDefined)
	if encrypted {
		if !crypto.IsMultiPart(o.UserDefined) {
			return false

TFCI_BAZEL_BAZELRC_ARGS=
TFCI_BAZEL_COMMON_ARGS=
TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=
TFCI_BUILD_PIP_PACKAGE_BASE_ARGS=
TFCI_BUILD_PIP_PACKAGE_WHEEL_NAME_ARG=
# Mostly meant to be used for Windows.
# For Windows, the same wheel is uploaded to both tensorflow_cpu, and tensorflow
TFCI_BUILD_PIP_PACKAGE_ADDITIONAL_WHEEL_NAMES=
TFCI_DOCKER_ARGS=
TFCI_DOCKER_ENABLE=
TFCI_DOCKER_IMAGE=
TFCI_DOCKER_PULL_ENABLE=
TFCI_DOCKER_REBUILD_ARGS=

# ==============================================================================

name: OSV-Scanner Scheduled Scan

on:
  schedule:
    - cron: 0 4 * * 1

permissions:
  # Require writing security events to upload SARIF file to security tab
  security-events: write
  # Only need to read contents
  contents: read

jobs:
  scan-scheduled:
    if: github.repository == 'tensorflow/tensorflow'

                resource.getResourceName());
    }

    @Override
    public void transferSucceeded(TransferEvent event) {
        String action = (event.getRequestType() == TransferEvent.RequestType.PUT ? "Uploaded" : "Downloaded");
        String direction = event.getRequestType() == TransferEvent.RequestType.PUT ? "to" : "from";

        TransferResource resource = event.getResource();

    else:
        return {"file_size": len(file)}


@app.post("/uploadfile/")
async def create_upload_file(file: Union[UploadFile, None] = None):
    if not file:
        return {"message": "No upload file sent"}
    else:

#       export TF_ANY_TARGETS="quoted list of targets, like on the command line"
#       export TF_ANY_MODE="test" or "build" or "run" (default: "test")
#       ./any.sh
#
# 2. RUN ANY OTHER SCRIPT AND ENV WITH NO SIDE EFFECTS (NO UPLOADS)
#    To use:
#       export TFCI=ci/official/envs/env_goes_here
#       export TF_ANY_SCRIPT=ci/official/wheel.sh
#       ./any.sh
#
# 3. DO THE SAME WITH A LOCAL CACHE OR RBE:

    }

    @Override
    public void transferSucceeded(TransferEvent event) {
        String action = (event.getRequestType() == TransferEvent.RequestType.PUT ? "Uploaded" : "Downloaded");
        String direction = event.getRequestType() == TransferEvent.RequestType.PUT ? "to" : "from";

        TransferResource resource = event.getResource();

    else:
        return {"file_size": len(file)}


@app.post("/uploadfile/")
async def create_upload_file(file: UploadFile | None = None):
    if not file:
        return {"message": "No upload file sent"}
    else: