* MoreExecutors#newDirectExecutorService} and subject to the same constraints.
   *
   * <p>Although all tasks are immediately executed in the thread that submitted the task, this
   * {@code ExecutorService} imposes a small locking overhead on each task submission in order to
   * implement shutdown and termination behavior.
   *
   * <p>Because of the nature of single-thread execution, the methods {@code scheduleAtFixedRate}

        data[7] = (byte) (high >> 24);

        PacDataInputStream pdis = createInputStream(data);
        Date date = pdis.readFiletime();
        assertNotNull(date);
        // Allow for a small difference due to precision loss
        assertEquals(time / 1000, date.getTime() / 1000);

        // Test with null date (0x7fffffff ffffffff)

    var finished: Boolean = false,
  ) : Sink {
    /**
     * Buffer of outgoing data. This batches writes of small writes into this sink as larges frames
     * written to the outgoing connection. Batching saves the (small) framing overhead.
     */
    private val sendBuffer = Buffer()

    /** Trailers to send at the end of the stream. */
    var trailers: Headers? = null

                    out.print("\"><b>");
                    out.print(name);
                    out.print("</b><br><small>");
                    out.print(f.length() / 1024 + "KB <br>");
                    out.print(sdf.format(new Date(f.lastModified())));
                    out.print("</small>");
                    out.println("</a>");
                }
            }
        }

        // Arrange
        TransTransactNamedPipe trans = new TransTransactNamedPipe(mockConfig, TEST_FID, TEST_DATA, TEST_OFFSET, TEST_LENGTH);
        byte[] dst = new byte[5]; // Buffer too small
        int dstIndex = 0;

        // Act
        int bytesWritten = trans.writeDataWireFormat(dst, dstIndex);

        // Assert
        assertEquals(0, bytesWritten);
    }

    @Test

				t.Errorf("Expected putObject to fail with %v, but failed with %v", toObjectErr(errErasureWriteQuorum, bucket, object), err)
			}
		})
	}
}

// Test PutObject twice, one small and another bigger
// than small data threshold and checks reading them again
func TestPutObjectSmallInlineData(t *testing.T) {
	ctx, cancel := context.WithCancel(t.Context())
	defer cancel()

	const numberOfDisks = 4

                Arguments.of((LongGetter) FileEntry::length, -100L, "negative length"),
                Arguments.of((LongGetter) FileEntry::length, 0L, "zero length"),
                Arguments.of((LongGetter) FileEntry::length, 1L, "small length"));
    }

    @ParameterizedTest(name = "Long getter {2} returns {1}")
    @MethodSource("longGetterProvider")
    void longGetters_edgeCases(LongGetter getter, long value, String label) {
        // Arrange

## Server Machine and Server Program { #server-machine-and-server-program }

There's a small detail about names to keep in mind. 💡

The word "**server**" is commonly used to refer to both the remote/cloud computer (the physical or virtual machine) and also the program that is running on that machine (e.g. Uvicorn).

  // Timed Get
  // There are a few design constraints to consider
  // * We want to be responsive to small timeouts, unpark() has non trivial latency overheads (I
  //   have observed 12 micros on 64-bit linux systems to wake up a parked thread). So if the
  //   timeout is small we shouldn't park(). This needs to be traded off with the cpu overhead of

                    out.print("\"><b>");
                    out.print(name);
                    out.print("</b><br><small>");
                    out.print(f.length() / 1024 + "KB <br>");
                    out.print(sdf.format(new Date(f.lastModified())));
                    out.print("</small>");
                    out.println("</a>");
                }
            }
        }