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# Copyright 2012,2013 Free Software Foundation, Inc.
#
# This file is part of GNU Radio
#
# GNU Radio 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 3, or (at your option)
# any later version.
#
# GNU Radio 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 GNU Radio; see the file COPYING. If not, write to
# the Free Software Foundation, Inc., 51 Franklin Street,
# Boston, MA 02110-1301, USA.
try: import pmt_swig as pmt
except: import pmt
import numpy
#define missing
def pmt_to_tuple(p):
elems = list()
for i in range(pmt.length(p)):
elem = pmt.tuple_ref(p, i)
elems.append(pmt_to_python(elem))
return tuple(elems)
def pmt_from_tuple(p):
args = map(python_to_pmt, p)
return pmt.make_tuple(*args)
def pmt_to_vector(p):
v = list()
for i in range(pmt.length(p)):
elem = pmt.vector_ref(p, i)
v.append(pmt_to_python(elem))
return v
def pmt_from_vector(p):
v = pmt.make_vector(len(p), pmt.PMT_NIL)
for i, elem in enumerate(p):
pmt.vector_set(v, i, python_to_pmt(elem))
return v
def pmt_to_dict(p):
d = dict()
items = pmt.dict_items(p)
for i in range(pmt.length(items)):
pair = pmt.nth(i, items)
k = pmt.car(pair)
v = pmt.cdr(pair)
d[pmt_to_python(k)] = pmt_to_python(v)
return d
def pmt_from_dict(p):
d = pmt.make_dict()
for k, v in p.iteritems():
#dict is immutable -> therefore pmt_dict_add returns the new dict
d = pmt.dict_add(d, python_to_pmt(k), python_to_pmt(v))
return d
#(numpy.float32,pmt.init_f32vector, float, pmt.f32vector_elements, pmt.is_f32vector),
numpy_mappings = {
numpy.float32: (pmt.init_f32vector, float, pmt.f32vector_elements, pmt.is_f32vector),
numpy.float64: (pmt.init_f64vector, float, pmt.f64vector_elements, pmt.is_f64vector),
numpy.complex64: (pmt.init_c32vector, complex, pmt.c32vector_elements, pmt.is_c32vector),
numpy.complex128: (pmt.init_c64vector, complex, pmt.c64vector_elements, pmt.is_c64vector),
numpy.int8: (pmt.init_s8vector, int, pmt.s8vector_elements, pmt.is_s8vector),
numpy.int16: (pmt.init_s16vector, int, pmt.s16vector_elements, pmt.is_s16vector),
numpy.int32: (pmt.init_s32vector, int, pmt.s32vector_elements, pmt.is_s32vector),
# numpy.int64: (pmt.init_s64vector, int, pmt.s64vector_elements, pmt.is_s64vector),
numpy.uint8: (pmt.init_u8vector, int, pmt.u8vector_elements, pmt.is_u8vector),
numpy.uint16: (pmt.init_u16vector, int, pmt.u16vector_elements, pmt.is_u16vector),
numpy.uint32: (pmt.init_u32vector, int, pmt.u32vector_elements, pmt.is_u32vector),
# numpy.uint64: (pmt.init_u64vector, int, pmt.u64vector_elements, pmt.is_u64vector),
numpy.byte: (pmt.init_u8vector, int, pmt.u8vector_elements, pmt.is_u8vector),
}
def numpy_to_uvector(p):
try:
mapping = numpy_mappings
pc = map(mapping[1], p)
return mapping[0](p.size, pc)
except KeyError:
raise ValueError("unsupported numpy array dtype for converstion to pmt %s"%(p.dtype))
def uvector_to_numpy(p):
for key in numpy_mappings:
m = numpy_mappings[key]
if(m[3](p)):
return numpy.array(m[2](p), dtype=key);
raise ValueError("unsupported numpy array dtype for converstion from pmt %s"%(p))
THE_TABLE = ( #python type, check pmt type, to python, from python
(None, pmt.is_null, lambda x: None, lambda x: pmt.PMT_NIL),
(bool, pmt.is_bool, pmt.to_bool, pmt.from_bool),
(str, pmt.is_symbol, pmt.symbol_to_string, pmt.string_to_symbol),
(unicode, lambda x: False, None, lambda x: pmt.string_to_symbol(x.encode('utf-8'))),
(int, pmt.is_integer, pmt.to_long, pmt.from_long),
(long, pmt.is_uint64, lambda x: long(pmt.to_uint64(x)), pmt.from_uint64),
(float, pmt.is_real, pmt.to_double, pmt.from_double),
(complex, pmt.is_complex, pmt.to_complex, pmt.from_complex),
(tuple, pmt.is_tuple, pmt_to_tuple, pmt_from_tuple),
(list, pmt.is_vector, pmt_to_vector, pmt_from_vector),
(dict, pmt.is_dict, pmt_to_dict, pmt_from_dict),
(numpy.ndarray, pmt.is_uniform_vector, uvector_to_numpy, numpy_to_uvector),
)
def pmt_to_python(p):
for python_type, pmt_check, to_python, from_python in THE_TABLE:
if pmt_check(p): return to_python(p)
raise ValueError("can't convert %s type to pmt (%s)"%(type(p),p))
def python_to_pmt(p):
for python_type, pmt_check, to_python, from_python in THE_TABLE:
if python_type is None:
if p == None: return from_python(p)
elif isinstance(p, python_type): return from_python(p)
raise ValueError("can't convert %s type to pmt (%s)"%(type(p),p))
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