code: def handle_Clustering1D(the_class):
      def replacement_train_exact(self, x):
          """Perform clustering on a set of 1D vectors.
  
          Parameters
          ----------
          x : array_like
              Training vectors, shape (n, 1). `dtype` must be float32.
          """
          n, d = x.shape
          x = np.ascontiguousarray(x, dtype="float32")
          assert d == self.d
          self.train_exact_c(n, swig_ptr(x))
  
      replace_method(the_class, "train_exact", replacement_train_exact)
  
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 4 for calling a global function with example usage: handle_Clustering1D(the_class) without return types