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
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
|
#
# Copyright 2010 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 this program; if not, write to the Free Software Foundation, Inc.,
# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
#
"""
Miscellaneous utilities for managing mods and demods, as well as other items
useful in dealing with generalized handling of different modulations and demods.
"""
import inspect
# Type 1 modulators accept a stream of bytes on their input and produce complex baseband output
_type_1_modulators = {}
def type_1_mods():
return _type_1_modulators
def add_type_1_mod(name, mod_class):
_type_1_modulators[name] = mod_class
# Type 1 demodulators accept complex baseband input and produce a stream of bits, packed
# 1 bit / byte as their output. Their output is completely unambiguous. There is no need
# to resolve phase or polarity ambiguities.
_type_1_demodulators = {}
def type_1_demods():
return _type_1_demodulators
def add_type_1_demod(name, demod_class):
_type_1_demodulators[name] = demod_class
# Also record the constellation making functions of the modulations
_type_1_constellations = {}
def type_1_constellations():
return _type_1_constellations
def add_type_1_constellation(name, constellation):
_type_1_constellations[name] = constellation
def extract_kwargs_from_options(function, excluded_args, options):
"""
Given a function, a list of excluded arguments and the result of
parsing command line options, create a dictionary of key word
arguments suitable for passing to the function. The dictionary
will be populated with key/value pairs where the keys are those
that are common to the function's argument list (minus the
excluded_args) and the attributes in options. The values are the
corresponding values from options unless that value is None.
In that case, the corresponding dictionary entry is not populated.
(This allows different modulations that have the same parameter
names, but different default values to coexist. The downside is
that --help in the option parser will list the default as None,
but in that case the default provided in the __init__ argument
list will be used since there is no kwargs entry.)
@param function: the function whose parameter list will be examined
@param excluded_args: function arguments that are NOT to be added to the dictionary
@type excluded_args: sequence of strings
@param options: result of command argument parsing
@type options: optparse.Values
"""
# Try this in C++ ;)
args, varargs, varkw, defaults = inspect.getargspec(function)
d = {}
for kw in [a for a in args if a not in excluded_args]:
if hasattr(options, kw):
if getattr(options, kw) is not None:
d[kw] = getattr(options, kw)
return d
def extract_kwargs_from_options_for_class(cls, options):
"""
Given command line options, create dictionary suitable for passing to __init__
"""
d = extract_kwargs_from_options(
cls.__init__, ('self',), options)
for base in cls.__bases__:
if hasattr(base, 'extract_kwargs_from_options'):
d.update(base.extract_kwargs_from_options(options))
return d
|
