def __init__(self, N, quad="LG", dtype=np.float, padding_factor=1, dealias_direct=False, coordinates=None):
SpectralBase.__init__(self, N, quad=quad, domain=(0., np.inf), dtype=dtype,
padding_factor=padding_factor, dealias_direct=dealias_direct,
coordinates=coordinates)
self.forward = functools.partial(self.forward, fast_transform=False)
self.backward = functools.partial(self.backward, fast_transform=False)
self.scalar_product = functools.partial(self.scalar_product, fast_transform=False)
def __init__(self,
N,
quad="JG",
alpha=0,
beta=0,
domain=(-1., 1.),
dtype=np.float,
padding_factor=1,
dealias_direct=False,
coordinates=None):
SpectralBase.__init__(self,
N,
quad=quad,
domain=domain,
dtype=dtype,
padding_factor=padding_factor,
dealias_direct=dealias_direct,
coordinates=coordinates)
self.alpha = alpha
self.beta = beta
self.forward = functools.partial(self.forward, fast_transform=False)
self.backward = functools.partial(self.backward, fast_transform=False)
self.scalar_product = functools.partial(self.scalar_product,
fast_transform=False)
self.plan(int(N * padding_factor), 0, dtype, {})
def __init__(self,
N,
padding_factor=1.,
domain=(0, 2 * np.pi),
dealias_direct=False):
self.dealias_direct = dealias_direct
SpectralBase.__init__(self, N, '', padding_factor, domain)
def __init__(self,
N,
padding_factor=1.,
domain=(0, 2 * np.pi),
dealias_direct=False):
self.dealias_direct = dealias_direct
self._k = None
self._planned_axes = None # Collapsing of axes means that this base can be used to plan transforms over several collapsed axes. Store the axes planned for here.
SpectralBase.__init__(self, N, '', padding_factor, domain)
def __init__(self,
N,
quad="LG",
domain=(-1., 1.),
padding_factor=1,
dealias_direct=False):
SpectralBase.__init__(self,
N,
quad=quad,
domain=domain,
padding_factor=padding_factor,
dealias_direct=dealias_direct)
self.forward = functools.partial(self.forward, fast_transform=False)
self.backward = functools.partial(self.backward, fast_transform=False)
self.scalar_product = functools.partial(self.scalar_product,
fast_transform=False)
def __init__(self,
N,
padding_factor=1,
domain=(0, 2 * np.pi),
dtype=float,
dealias_direct=False,
coordinates=None):
self._k = None
self._planned_axes = None # Collapsing of axes means that this base can be used to plan transforms over several collapsed axes. Store the axes planned for here.
SpectralBase.__init__(self,
N,
dtype=dtype,
padding_factor=padding_factor,
dealias_direct=dealias_direct,
domain=domain,
coordinates=coordinates)
def __init__(self, N=0, quad="LG", domain=(-1., 1.)):
SpectralBase.__init__(self, N, quad, domain=domain)
self.forward = functools.partial(self.forward, fast_transform=False)
self.backward = functools.partial(self.backward, fast_transform=False)
self.scalar_product = functools.partial(self.scalar_product, fast_transform=False)
def __init__(self, N=0, quad="GC", domain=(-1., 1.)):
assert quad in ('GC', 'GL')
SpectralBase.__init__(self, N, quad, domain=domain)
def __init__(self, N=0, quad="HG", bc=(0., 0.)):
SpectralBase.__init__(self, N, quad, domain=(-np.inf, np.inf))
self.forward = functools.partial(self.forward, fast_transform=False)
self.backward = functools.partial(self.backward, fast_transform=False)
self.scalar_product = functools.partial(self.scalar_product, fast_transform=False)
self.plan(N, 0, np.float, {})
