How to use the pyansys.common.two_ints_to_long function in pyansys

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github akaszynski / pyansys / pyansys / full.py View on Github external
"""
        if not os.path.isfile(self.filename):
            raise Exception('%s not found' % self.filename)

        if as_sparse:
            try:
                from scipy.sparse import csc_matrix, coo_matrix
            except ImportError:
                raise ImportError('Unable to load scipy, use ``load_km`` with '
                                  '``as_sparse=False``')

        # Get header details
        neqn = self._header['neqn']  # Number of equations

        # number of terms in stiffness matrix
        ntermK = two_ints_to_long(self._header['ntermKl'], self._header['ntermKh'])

        ptrSTF = self._header['ptrSTF']  # Location of stiffness matrix
        ptrMAS = self._header['ptrMAS']  # Location in file to mass matrix

        # number of terms in mass matrix
        ntermM = two_ints_to_long(self._header['ntermMl'], self._header['ntermMh'])
        ptrDOF = self._header['ptrDOF']  # pointer to DOF info

        # DOF information
        with open(self.filename, 'rb') as f:
            read_table(f, skip=True)  # standard header
            read_table(f, skip=True)  # full header
            read_table(f, skip=True)  # number of degrees of freedom

            # Nodal equivalence table
            neqv = read_table(f, cython=True)
github akaszynski / pyansys / pyansys / full.py View on Github external
from scipy.sparse import csc_matrix, coo_matrix
            except ImportError:
                raise ImportError('Unable to load scipy, use ``load_km`` with '
                                  '``as_sparse=False``')

        # Get header details
        neqn = self._header['neqn']  # Number of equations

        # number of terms in stiffness matrix
        ntermK = two_ints_to_long(self._header['ntermKl'], self._header['ntermKh'])

        ptrSTF = self._header['ptrSTF']  # Location of stiffness matrix
        ptrMAS = self._header['ptrMAS']  # Location in file to mass matrix

        # number of terms in mass matrix
        ntermM = two_ints_to_long(self._header['ntermMl'], self._header['ntermMh'])
        ptrDOF = self._header['ptrDOF']  # pointer to DOF info

        # DOF information
        with open(self.filename, 'rb') as f:
            read_table(f, skip=True)  # standard header
            read_table(f, skip=True)  # full header
            read_table(f, skip=True)  # number of degrees of freedom

            # Nodal equivalence table
            neqv = read_table(f, cython=True)

            # read number of degrees of freedom for each node and constant tables
            f.seek(ptrDOF*4)
            ndof = read_table(f, cython=True)
            const = read_table(f, cython=True)