code: def handle_Quantizer(the_class):
      def replacement_train(self, x):
          """Train the quantizer on a set of training vectors.
  
          Parameters
          ----------
          x : array_like
              Training vectors, shape (n, self.d). `dtype` must be float32.
          """
          n, d = x.shape
          x = np.ascontiguousarray(x, dtype="float32")
          assert d == self.d
          self.train_c(n, swig_ptr(x))
  
      def replacement_compute_codes(self, x):
          """Compute the codes corresponding to a set of vectors.
  
          Parameters
          ----------
          x : array_like
              Vectors to encode, shape (n, self.d). `dtype` must be float32.
  
          Returns
          -------
          codes : array_like
              Corresponding code for each vector, shape (n, self.code_size)
              and `dtype` uint8.
          """
          n, d = x.shape
          x = np.ascontiguousarray(x, dtype="float32")
          assert d == self.d
          codes = np.empty((n, self.code_size), dtype="uint8")
          self.compute_codes_c(swig_ptr(x), swig_ptr(codes), n)
          return codes
  
      def replacement_decode(self, codes):
          """Reconstruct an approximation of vectors given their codes.
  
          Parameters
          ----------
          codes : array_like
              Codes to decode, shape (n, self.code_size). `dtype` must be uint8.
  
          Returns
          -------
              Reconstructed vectors for each code, shape `(n, d)` and `dtype` float32.
          """
          n, cs = codes.shape
          codes = _check_dtype_uint8(codes)
          assert cs == self.code_size
          x = np.empty((n, self.d), dtype="float32")
          self.decode_c(swig_ptr(codes), swig_ptr(x), n)
          return x
  
      replace_method(the_class, "train", replacement_train)
      replace_method(
          the_class, "compute_codes", replacement_compute_codes
      )
      replace_method(the_class, "decode", replacement_decode)
  
imports: import inspect
  import faiss
  import numpy
  from faiss.loader import DirectMap, IDSelector, IDSelectorArray, IDSelectorBatch, OperatingPoints, RangeSearchResult, rev_swig_ptr, swig_ptr, try_extract_index_ivf
label_desc: Use image node_id 5 for calling a global function with example usage: handle_Quantizer(the_class) and returns: codes, x