<<: *minio-common
    hostname: minio1
    volumes:
      - data1-1:/data1
      - data1-2:/data2

  minio2:
    <<: *minio-common
    hostname: minio2
    volumes:
      - data2-1:/data1
      - data2-2:/data2

  minio3:
    <<: *minio-common
    hostname: minio3
    volumes:
      - data3-1:/data1
      - data3-2:/data2

  minio4:
    <<: *minio-common
    hostname: minio4
    volumes:

    volumes:
      - data2-1:/data1
      - data2-2:/data2
      - data2-3:/data3

  minio3:
    <<: *minio-common
    hostname: minio3
    volumes:
      - data3-1:/data1
      - data3-2:/data2
      - data3-3:/data3

  minio4:
    <<: *minio-common
    hostname: minio4
    volumes:
      - data4-1:/data1
      - data4-2:/data2
      - data4-3:/data3

  nginx:

	data[len(prefix)+1] = 0
	if ctxt.Arch.ByteOrder == binary.BigEndian {
		data[len(prefix)+1] = 1
	}
	data[len(prefix)+1] |= 2 // signals new pointer-free format
	data = appendString(data, strdata["runtime.buildVersion"])
	data = appendString(data, strdata["runtime.modinfo"])
	// MacOS linker gets very upset if the size os not a multiple of alignment.
	for len(data)%16 != 0 {
		data = append(data, 0)
	}

)

// initDataScanner will start the scanner in the background.
func initDataScanner(ctx context.Context, objAPI ObjectLayer) {
	go func() {
		r := rand.New(rand.NewSource(time.Now().UnixNano()))
		// Run the data scanner in a loop
		for {
			runDataScanner(ctx, objAPI)
			duration := time.Duration(r.Float64() * float64(scannerCycle.Load()))
			if duration < time.Second {

		}
		if err := c2.Close(); err != nil {
			t.Errorf("unexpected c2.Close error: %v", err)
		}
		dataCh <- wr.Bytes()
	}()

	if got := <-dataCh; !bytes.Equal(got, want) {
		t.Error("transmitted data differs")
	}
}

// testPingPong tests that the two endpoints can synchronously send data to
// each other in a typical request-response pattern.
func testPingPong(t *testing.T, c1, c2 net.Conn) {

Nayeon Kim <******@****.***> 1718333110 +0900

  {{end}}{{end}}
EXAMPLES:
  1. Start MinIO server on "/home/shared" directory.
     {{.Prompt}} {{.HelpName}} /home/shared

  2. Start single node server with 64 local drives "/mnt/data1" to "/mnt/data64".
     {{.Prompt}} {{.HelpName}} /mnt/data{1...64}

  3. Start distributed MinIO server on an 32 node setup with 32 drives each, run following command on all the nodes

  );

  let results = (outs TFL_TensorOf<[F32, I32]>:$output);
}

def TFL_Atan2Op: TFL_Op<"atan2", [
  Pure,
  SameOperandsAndResultShape,
  SameOperandsAndResultElementType]> {

  let summary = "Atan2 operation";
  let description = [{
    The "atan2" operation computes the arctangent of y/x element-wise,
    respecting signs of the arguments.
  }];

//
// Assume segment ids' shape is [SI0, SI1, ..., SIm] and data's  shape is
// [D0, D1, ..., Dn]. Note that segment ids' shape must be a prefix of data's
// shape, so we can have data's shape represented as [SI0, SI1, ..., SIm,
// Dm+1, ..., Dn]. Then
//   output[segment_ids[SI_i0, SI_i1, ..., SI_im], D_im+1, ..., D_in] =
//      <ReductionOp> over data[SI_i0, SI_i1, ..., SI_im, D_im+1, ..., D_in]

    merged[indices[m], ...] = data[m][...]

    # Vector indices:
    merged[indices[m][i], ...] = data[m][i, ...]
```

Each `data[i].shape` must start with the corresponding `indices[i].shape`,
and the rest of `data[i].shape` must be constant w.r.t. `i`.  That is, we
must have `data[i].shape = indices[i].shape + constant`.  In terms of this
`constant`, the output shape is