2 Copyright 2008, 2009 Free Software Foundation, Inc.
3 This file is part of GNU Radio
5 GNU Radio Companion is free software; you can redistribute it and/or
6 modify it under the terms of the GNU General Public License
7 as published by the Free Software Foundation; either version 2
8 of the License, or (at your option) any later version.
10 GNU Radio Companion is distributed in the hope that it will be useful,
11 but WITHOUT ANY WARRANTY; without even the implied warranty of
12 MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
13 GNU General Public License for more details.
15 You should have received a copy of the GNU General Public License
16 along with this program; if not, write to the Free Software
17 Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA
21 from .. base.FlowGraph import FlowGraph as _FlowGraph
22 from .. gui.FlowGraph import FlowGraph as _GUIFlowGraph
23 from Block import Block
24 from Connection import Connection
27 _variable_matcher = re.compile('^(variable\w*)$')
28 _parameter_matcher = re.compile('^(parameter)$')
30 class FlowGraph(_FlowGraph, _GUIFlowGraph):
32 def __init__(self, **kwargs):
33 _FlowGraph.__init__(self, **kwargs)
34 _GUIFlowGraph.__init__(self)
37 def _eval(self, code, namespace, namespace_hash):
39 Evaluate the code with the given namespace.
40 @param code a string with python code
41 @param namespace a dict representing the namespace
42 @param namespace_hash a unique hash for the namespace
43 @return the resultant object
45 my_hash = hash(code) ^ namespace_hash
46 #cache if does not exist
47 if not self._eval_cache.has_key(my_hash):
48 self._eval_cache[my_hash] = eval(code, namespace, namespace)
50 return self._eval_cache[my_hash]
52 def _get_io_signature(self, pad_key):
54 Get an io signature for this flow graph.
55 The pad key determines the directionality of the io signature.
56 @param pad_key a string of pad_source or pad_sink
57 @return a dict with: type, nports, vlen, size
59 pads = filter(lambda b: b.get_key() == pad_key, self.get_enabled_blocks())
66 pad = pads[0] #take only the first, user should not have more than 1
69 'nports': str(pad.get_param('nports').get_evaluated()),
70 'type': str(pad.get_param('type').get_evaluated()),
71 'vlen': str(pad.get_param('vlen').get_evaluated()),
72 'size': pad.get_param('type').get_opt('size'),
75 def get_input_signature(self):
77 Get the io signature for the input side of this flow graph.
78 The io signature with be "0", "0" if no pad source is present.
79 @return a string tuple of type, num_ports, port_size
81 return self._get_io_signature('pad_source')
83 def get_output_signature(self):
85 Get the io signature for the output side of this flow graph.
86 The io signature with be "0", "0" if no pad sink is present.
87 @return a string tuple of type, num_ports, port_size
89 return self._get_io_signature('pad_sink')
91 def get_imports(self):
93 Get a set of all import statments in this flow graph namespace.
94 @return a set of import statements
96 imports = sum([block.get_imports() for block in self.get_enabled_blocks()], [])
97 imports = sorted(set(imports))
100 def get_variables(self):
102 Get a list of all variables in this flow graph namespace.
103 Exclude paramterized variables.
104 @return a sorted list of variable blocks in order of dependency (indep -> dep)
106 variables = filter(lambda b: _variable_matcher.match(b.get_key()), self.get_enabled_blocks())
107 return expr_utils.sort_objects(variables, lambda v: v.get_id(), lambda v: v.get_var_make())
109 def get_parameters(self):
111 Get a list of all paramterized variables in this flow graph namespace.
112 @return a list of paramterized variables
114 parameters = filter(lambda b: _parameter_matcher.match(b.get_key()), self.get_enabled_blocks())
117 def evaluate(self, expr):
119 Evaluate the expression.
120 @param expr the string expression
121 @throw Exception bad expression
122 @return the evaluated data
124 if self.is_flagged():
129 for imp in self.get_imports():
134 for parameter in self.get_parameters():
136 e = eval(parameter.get_param('value').to_code(), n, n)
137 np[parameter.get_id()] = e
139 n.update(np) #merge param namespace
141 for variable in self.get_variables():
143 e = eval(variable.get_param('value').to_code(), n, n)
144 n[variable.get_id()] = e
146 #make namespace public
148 self.n_hash = hash(str(n))
150 e = self._eval(expr, self.n, self.n_hash)