コード例 #1
0
ファイル: interpret.c プロジェクト: dvitsios/align-paths
static int calc_depth
(  mclx* m_transient
)
{   mclx* m_inverse = mclxTranspose(m_transient)
                      ;
    dim c, depth = 0

                   ;
    if(0)puts("")

        ;
    for (c=0; c<N_COLS(m_inverse); c++)
    {   dim this_depth = 0
                         ;
        if (!m_inverse->cols[c].n_ivps)    /* no incoming nodes */
        {   mclv* next = mclxGetVector(m_transient, m_inverse->cols[c].vid, RETURN_ON_FAIL, NULL)
                         ;
            if (!next)
                continue
                ;
            mclgUnionvInitList(m_transient, next)
            ;
            do
            {   mclv* next2 = mclgUnionv(m_transient, next, NULL, SCRATCH_UPDATE, NULL)
                              ;
                if (0 && next->ivps)
                    fprintf(stdout, "chain %d ->\n", (int) m_inverse->cols[c].vid)
                    ,  mclvaDump(next, stdout, -1, " ", 0)
                    ;
                if (this_depth)   /* otherwise starting vector in matrix */
                    mclvFree(&next)
                    ;
                next = next2
                       ;
                this_depth++
                ;
            }
            while (next->n_ivps)
                ;
            mclvFree(&next)      /* did loop at least once, so not the starting vector */
            ;
            mclgUnionvReset(m_transient)
            ;
        }
        if (this_depth > depth)
            depth = this_depth
                    ;
    }

    mclxFree(&m_inverse)
    ;
    return depth
           ;
}
コード例 #2
0
mclMatrix* mclInterpret
(  mclMatrix* dag
)
   {  mclv* v_attr = mclvCopy(NULL, dag->dom_cols)
   ;  mclx* m_attr = NULL, *m_cls = NULL, *m_clst = NULL
   ;  dim d

   ;  mclvMakeCharacteristic(v_attr)

   ;  for (d=0;d<N_COLS(dag);d++)
      {  mclv* col = dag->cols+d
      ;  if (mclvGetIvp(col, col->vid, NULL))   /* deemed attractor */
         mclvInsertIdx(v_attr, col->vid, 2.0)
   ;  }

      mclvSelectGqBar(v_attr, 1.5)

   ;  m_attr = mclxSub(dag, v_attr, v_attr)
   ;  mclxAddTranspose(m_attr, 1.0)

   ;  m_cls = clmUGraphComponents(m_attr, NULL) /* attractor systems as clusters */
   ;  mclvCopy(m_cls->dom_rows, dag->dom_cols)  /* add all nodes to this cluster matrix */
   ;  m_clst = mclxTranspose(m_cls)             /* nodes(columns) with zero neighbours need to be classified */
   ;  mclgUnionvReset(dag)                      /* make mx->dom-rows characteristic */
   ;  mclxFree(&m_cls)

   ;  for (d=0;d<N_COLS(dag);d++)
      {  mclv* closure, *clsids
      ;  if (mclvGetIvp(v_attr, dag->cols[d].vid, NULL))
         continue                               /* attractor already classified */

      ;  closure =   get_closure(dag, dag->cols+d)  /* take all [neighbours of [neighbours of [..]]] */
      ;  clsids  =   mclgUnionv(m_clst, closure, NULL, SCRATCH_READY, NULL)

      ;  mclvAdd(m_clst->cols+d, clsids, m_clst->cols+d)
      ;  mclvFree(&clsids)
      ;  mclvFree(&closure)
   ;  }

      m_cls = mclxTranspose(m_clst)
   ;  mclxFree(&m_attr)
   ;  mclxFree(&m_clst)
   ;  mclvFree(&v_attr)
   ;  return m_cls
;  }