# lineshape functors
# -*- coding: iso-8859-1 -*-
#
# Copyright (C) 2002 Jochen Küpper <jochen@jochen-kuepper.de>
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__doc__     = """Lineshape functors.

The objects defined in this module can be used to calculate numarrays containing
common lineshape-profiles.

For the *Profile classes the profile is only evaluated once for each object and
then reused for each call. If you only use a profile once and you are concerned
about memory consumption you could call the underlying functions directly.
"""

__author__  = "Jochen Küpper <jochen@jochen-kuepper.de>"
__date__    = "$Date: 2007/03/14 16:35:57 $"[7:-11]
__version__ = "$Revision: 1.1 $"[11:-2]


import numpy as num
from convolve._lineshape import *


class Profile(object):
    """An base object to provide a convolution kernel."""

    def __init__(self, x, w, x0=0.0):
        # call init for all superclasses
        super(Profile, self).__init__(x, w, x0)
        self._recalculate(x, w, x0)

    def __call__(self):
        return self._kernel

    def _recalculate(self, x, w, x0):
        self._kernel = self._profile(x, w, x0)


class GaussProfile(Profile):
    """An object for Gauss-folding."""

    def __init__(self, x, w, x0=0.0):
        self._profile = gauss
        # call init for all superclasses
        super(GaussProfile, self).__init__(x, w, x0)


class LorentzProfile(Profile):
    """An object for Lorentz-folding."""

    def __init__(self, x, w, x0=0.0):
        self._profile = lorentz
        # call init for all superclasses
        super(LorentzProfile, self).__init__(x, w, x0)



class VoigtProfile(Profile):
    """An object for Voigt-folding.

    The constructor takes the following parameter:
      |x|  Scalar or numarray with values to calculate profile at.
      |w|  Tuple of Gaussian and Lorentzian linewidth contribution
      |x0| Center frequency
    """

    def __init__(self, x, w, x0=0.0):
        self._profile = voigt
        # call init for all superclasses
        super(VoigtProfile, self).__init__(x, w, x0)



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