1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67
|
/* Copyright (c) 2008-2022 the MRtrix3 contributors.
*
* This Source Code Form is subject to the terms of the Mozilla Public
* License, v. 2.0. If a copy of the MPL was not distributed with this
* file, You can obtain one at http://mozilla.org/MPL/2.0/.
*
* Covered Software is provided under this License on an "as is"
* basis, without warranty of any kind, either expressed, implied, or
* statutory, including, without limitation, warranties that the
* Covered Software is free of defects, merchantable, fit for a
* particular purpose or non-infringing.
* See the Mozilla Public License v. 2.0 for more details.
*
* For more details, see http://www.mrtrix.org/.
*/
#include "math/stats/import.h"
namespace MR
{
namespace Math
{
namespace Stats
{
vector_type CohortDataImport::operator() (const size_t element) const
{
vector_type result (files.size());
for (size_t i = 0; i != files.size(); ++i)
result[i] = (*files[i]) [element]; // Get the intensity for just a particular element from this input data file
return result;
}
bool CohortDataImport::allFinite() const
{
// TESTME Should be possible to do this faster by populating matrix data
if (!size())
return true;
matrix_type data (size(), files[0]->size());
for (size_t i = 0; i != size(); ++i)
(*files[i]) (data.row (i));
return data.allFinite();
/*
for (size_t i = 0; i != files.size(); ++i) {
for (size_t j = 0; j != files[i]->size(); ++j) {
if ((*files[i])[j])
return false;
}
}
return true;
*/
}
}
}
}
|