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
20 from utils import expr_utils
21 from .. base.FlowGraph import FlowGraph as _FlowGraph
22 from Block import Block
23 from Connection import Connection
25 def _get_value_expr(variable_block):
27 Get the expression to evaluate from the value param.
28 Parameter blocks need to be evaluated so the stringify flag can be determined.
29 @param variable_block the variable or parameter block
30 @return the expression string
32 value_param = variable_block.get_param('value')
33 if variable_block.get_key() == 'parameter': value_param.evaluate()
34 return value_param.to_code()
36 class FlowGraph(_FlowGraph):
39 def _eval(self, code, namespace):
41 Evaluate the code with the given namespace.
42 @param code a string with python code
43 @param namespace a dict representing the namespace
44 @return the resultant object
47 #if self._eval_cache.has_key(code) and self._eval_cache[code][0] == namespace:
48 # return self._eval_cache[code][1]
50 result = eval(code, namespace, namespace)
51 #self._eval_cache[code] = (namespace.copy(), result)
54 def _get_io_signature(self, pad_key):
56 Get an io signature for this flow graph.
57 The pad key determines the directionality of the io signature.
58 @param pad_key a string of pad_source or pad_sink
59 @return a dict with: type, nports, vlen, size
61 pads = filter(lambda b: b.get_key() == pad_key, self.get_enabled_blocks())
68 pad = pads[0] #take only the first, user should not have more than 1
71 'nports': str(pad.get_param('nports').evaluate()),
72 'type': str(pad.get_param('type').evaluate()),
73 'vlen': str(pad.get_param('vlen').evaluate()),
74 'size': pad.get_param('type').get_opt('size'),
77 def get_input_signature(self):
79 Get the io signature for the input side of this flow graph.
80 The io signature with be "0", "0" if no pad source is present.
81 @return a string tuple of type, num_ports, port_size
83 return self._get_io_signature('pad_source')
85 def get_output_signature(self):
87 Get the io signature for the output side of this flow graph.
88 The io signature with be "0", "0" if no pad sink is present.
89 @return a string tuple of type, num_ports, port_size
91 return self._get_io_signature('pad_sink')
93 def get_imports(self):
95 Get a set of all import statments in this flow graph namespace.
96 @return a set of import statements
98 imports = sum([block.get_imports() for block in self.get_enabled_blocks()], [])
99 imports = sorted(set(imports))
102 def get_variables(self):
104 Get a list of all variables in this flow graph namespace.
105 Exclude paramterized variables.
106 @return a sorted list of variable blocks in order of dependency (indep -> dep)
108 variables = filter(lambda b: b.get_key() in (
109 'variable', 'variable_slider', 'variable_chooser', 'variable_text_box'
110 ), self.get_enabled_blocks())
111 #map var id to variable block
112 id2var = dict([(var.get_id(), var) for var in variables])
113 #map var id to variable code
114 #variable code is a concatenation of all param code (without the id param)
115 id2expr = dict([(var.get_id(), var.get_param('value').get_value()) for var in variables])
116 #sort according to dependency
117 sorted_ids = expr_utils.sort_variables(id2expr)
118 #create list of sorted variable blocks
119 variables = [id2var[id] for id in sorted_ids]
122 def get_parameters(self):
124 Get a list of all paramterized variables in this flow graph namespace.
125 @return a list of paramterized variables
127 parameters = filter(lambda b: b.get_key() == 'parameter', self.get_enabled_blocks())
130 def evaluate(self, expr):
132 Evaluate the expression.
133 @param expr the string expression
134 @throw Exception bad expression
135 @return the evaluated data
137 if self.is_flagged():
142 for imp in self.get_imports():
147 for parameter in self.get_parameters():
149 e = self._eval(_get_value_expr(parameter), n)
150 np[parameter.get_id()] = e
152 n.update(np) #merge param namespace
154 for variable in self.get_variables():
156 e = self._eval(_get_value_expr(variable), n)
157 n[variable.get_id()] = e
159 #make namespace public
162 e = self._eval(expr, self.n)