R/object.size.R

#######################################################################
# rEMM - Extensible Markov Model (EMM) for Data Stream Clustering in R
# Copyright (C) 2011 Michael Hahsler
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 of the License, or
# any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License along
# with this program; if not, write to the Free Software Foundation, Inc.,
# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.


### This is needed to calculate the sice of the elements in the environments
### correctly

setMethod("object.size", signature(x = "TRACDS"),
  function(x) {
    s <- sum(sapply(ls(x@tracds_d),  function(y)
      object.size(get(
        y, envir = x@tracds_d
      ))))

    class(s) <- "object_size"
    s
  })


setMethod("object.size", signature(x = "tNN"),
  function(x) {
    s <- sum(sapply(ls(x@tnn_d),  function(y)
      object.size(get(y, envir = x@tnn_d))))

    class(s) <- "object_size"
    s
  })

setMethod("object.size", signature(x = "EMM"),
  function(x) {
    s <- sum(sapply(ls(x@tracds_d),  function(y)
      object.size(get(
        y, envir = x@tracds_d
      ))))

    s <- s + sum(sapply(ls(x@tnn_d),  function(y)
      object.size(get(y, envir = x@tnn_d))))

    s <- s + object.size(unclass(x))

    class(s) <- "object_size"
    s
  })

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rEMM documentation built on June 26, 2022, 1:06 a.m.