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
25 _variable_matcher = re.compile('^(variable\w*)$')
26 _parameter_matcher = re.compile('^(parameter)$')
28 class FlowGraph(_FlowGraph, _GUIFlowGraph):
30 def __init__(self, **kwargs):
31 _FlowGraph.__init__(self, **kwargs)
32 _GUIFlowGraph.__init__(self)
33 self._eval_cache = dict()
35 def _eval(self, code, namespace, namespace_hash):
37 Evaluate the code with the given namespace.
38 @param code a string with python code
39 @param namespace a dict representing the namespace
40 @param namespace_hash a unique hash for the namespace
41 @return the resultant object
43 if not code: raise Exception, 'Cannot evaluate empty statement.'
44 my_hash = hash(code) ^ namespace_hash
45 #cache if does not exist
46 if not self._eval_cache.has_key(my_hash):
47 self._eval_cache[my_hash] = eval(code, namespace, namespace)
49 return self._eval_cache[my_hash]
51 def _get_io_signaturev(self, pad_key):
53 Get a list of io signatures for this flow graph.
54 The pad key determines the directionality of the io signature.
55 @param pad_key a string of pad_source or pad_sink
56 @return a list of dicts with: type, label, vlen, size
58 pads = filter(lambda b: b.get_key() == pad_key, self.get_enabled_blocks())
59 sorted_pads = sorted(pads, lambda x, y: cmp(x.get_id(), y.get_id()))
62 'label': str(pad.get_param('label').get_evaluated()),
63 'type': str(pad.get_param('type').get_evaluated()),
64 'vlen': str(pad.get_param('vlen').get_evaluated()),
65 'size': pad.get_param('type').get_opt('size'),
66 } for pad in sorted_pads]
68 def get_input_signaturev(self):
70 Get the io signature for the input side of this flow graph.
71 @return a list of io signature structures
73 return self._get_io_signaturev('pad_source')
75 def get_output_signaturev(self):
77 Get the io signature for the output side of this flow graph.
78 @return a list of io signature structures
80 return self._get_io_signaturev('pad_sink')
82 def get_imports(self):
84 Get a set of all import statments in this flow graph namespace.
85 @return a set of import statements
87 imports = sum([block.get_imports() for block in self.get_enabled_blocks()], [])
88 imports = sorted(set(imports))
91 def get_variables(self):
93 Get a list of all variables in this flow graph namespace.
94 Exclude paramterized variables.
95 @return a sorted list of variable blocks in order of dependency (indep -> dep)
97 variables = filter(lambda b: _variable_matcher.match(b.get_key()), self.get_enabled_blocks())
98 return expr_utils.sort_objects(variables, lambda v: v.get_id(), lambda v: v.get_var_make())
100 def get_parameters(self):
102 Get a list of all paramterized variables in this flow graph namespace.
103 @return a list of paramterized variables
105 parameters = filter(lambda b: _parameter_matcher.match(b.get_key()), self.get_enabled_blocks())
110 Flag the namespace to be renewed.
112 self._renew_eval_ns = True
113 _FlowGraph.rewrite(self)
115 def evaluate(self, expr):
117 Evaluate the expression.
118 @param expr the string expression
119 @throw Exception bad expression
120 @return the evaluated data
122 if self._renew_eval_ns:
123 self._renew_eval_ns = False
127 for imp in self.get_imports():
132 for parameter in self.get_parameters():
134 e = eval(parameter.get_param('value').to_code(), n, n)
135 np[parameter.get_id()] = e
137 n.update(np) #merge param namespace
139 for variable in self.get_variables():
141 e = eval(variable.get_param('value').to_code(), n, n)
142 n[variable.get_id()] = e
144 #make namespace public
146 self.n_hash = hash(str(n))
148 e = self._eval(expr, self.n, self.n_hash)