typo

Author: aartbik

docs_input/basics/sparse_tensor.rst

@@ -90,9 +90,9 @@ The current experimental sparse support in MatX provides efficient
 operations for sparse-to-dense, dense-to-sparse, matmul, and solve::
 
    (A = sparse2dense(Acoo)).run(exec);
-   (Acoo = dense2sparse(D)).run(exec);   
-   (C = matmul(Acoo, B)).run(exec);    // Sparse-Matrix x Matrix (SpMM) only
-   (X = solve(Acsr, Y)).run(exec);     // on CSR format only
+   (Acoo = dense2sparse(D)).run(exec);
+   (C = matmul(Acoo, B)).run(exec); // only Sparse-Matrix x Matrix (SpMM)
+   (X = solve(Acsr, Y)).run(exec);  // only on CSR format
 
 We expect the assortment of supported sparse operations and storage
 formats to grow if the experimental implementation is well-received.
@@ -159,7 +159,7 @@ The ``sparse_tensor_t`` type is essentially the following class,
 where the tensor format ``TF`` is part of the template::
 
   template <typename VAL, typename CRD, typename POS, typename TF, ...>
-  class sparse_tensor_t :   : public detail::tensor_impl_t<...> {
+  class sparse_tensor_t : public detail::tensor_impl_t<...> {
     
     static constexpr int DIM = TF::DIM;
     static constexpr int LVL = TF::LVL;