// PutObject - writes an object to hashedSet based on the object name.
func (s *erasureSets) PutObject(ctx context.Context, bucket string, object string, data *PutObjReader, opts ObjectOptions) (objInfo ObjectInfo, err error) {
	set := s.getHashedSet(object)
	return set.PutObject(ctx, bucket, object, data, opts)
}

// GetObjectInfo - reads object metadata from the hashedSet based on the object name.

   *     this response.
   */
  open fun responseHeadersEnd(
    call: Call,
    response: Response,
  ) {
  }

  /**
   * Invoked when data from the response body is first available to the application.
   *
   * This is typically invoked immediately before bytes are returned to the application. If the

    </magic>
    <sub-class-of type="application/x-mysql-db"/>
  </mime-type>
  <mime-type type="application/x-mysql-misam-data">
    <_comment>MySQL MISAM Data</_comment>
    <glob pattern="*.MYD"/>
    <!-- MISAM Data files are header-less, so no magic -->
    <sub-class-of type="application/x-mysql-db"/>
  </mime-type>
  <mime-type type="application/x-nesrom">

        }

        @Test
        @DisplayName("Should decode buffer correctly")
        void testDecode() throws SMBProtocolDecodingException {
            // Prepare test buffer with sample data
            byte[] buffer = new byte[24];
            // Skip idFileSystem (4 bytes)
            buffer[4] = 0x08; // sectPerAlloc = 8
            buffer[8] = 0x00;
            buffer[9] = 0x10; // alloc = 4096

bucket. For example, you could store `spark.csv` (version `ede336f2`) and `spark.csv` (version `fae684da`) in a single bucket. Versioning protects you from unintended overwrites, deletions, protect objects with retention policies.

To control data retention and storage usage, use object versioning with [object lifecycle management](https://github.com/minio/minio/blob/master/docs/bucket/lifecycle/README.md).  If you have an object expiration lifecycle policy in your non-versioned bucket and you...

            }
        } catch (IOException e) {
            log.error("Failed to load persisted handles from directory: " + stateDirectory, e);
        }
    }

    /**
     * Get existing handle data for reconnection
     * @param path the file path
     * @return the file ID if available, null otherwise
     */
    public byte[] getExistingHandle(String path) {
        HandleInfo info = getHandleForReconnect(path);

        verify(transport).ensureConnected();
    }

    // Happy path: getDfsReferrals returns referral, verify arguments captured
    @Test
    @DisplayName("getDfsReferrals returns data and receives correct args")
    void getDfsReferrals_happy() throws Exception {
        when(transport.getDfsReferrals(any(), any(), any(), any(), anyInt())).thenReturn(referral);

      // it. To preserve FIFO order and failure atomicity of rejected execution when the same
      // Runnable is executed more than once, allocate a wrapper that we know is safe to remove by
      // object identity.
      // A data structure that returned a removal handle from add() would allow eliminating this
      // allocation.
      submittedTask =
          new Runnable() {
            @Override
            public void run() {

      // it. To preserve FIFO order and failure atomicity of rejected execution when the same
      // Runnable is executed more than once, allocate a wrapper that we know is safe to remove by
      // object identity.
      // A data structure that returned a removal handle from add() would allow eliminating this
      // allocation.
      submittedTask =
          new Runnable() {
            @Override
            public void run() {

The same models are shared among requests, so, it's not one model per request, or one per user or something similar.

Let's imagine that loading the model can **take quite some time**, because it has to read a lot of **data from disk**. So you don't want to do it for every request.