""" Copyright 2008-2011 Free Software Foundation, Inc. This file is part of GNU Radio GNU Radio Companion 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 2 of the License, or (at your option) any later version. GNU Radio Companion 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 """ import expr_utils from .. base.FlowGraph import FlowGraph as _FlowGraph from .. gui.FlowGraph import FlowGraph as _GUIFlowGraph import re _variable_matcher = re.compile('^(variable\w*)$') _parameter_matcher = re.compile('^(parameter)$') class FlowGraph(_FlowGraph, _GUIFlowGraph): def __init__(self, **kwargs): _FlowGraph.__init__(self, **kwargs) _GUIFlowGraph.__init__(self) self._eval_cache = dict() def _eval(self, code, namespace, namespace_hash): """ Evaluate the code with the given namespace. @param code a string with python code @param namespace a dict representing the namespace @param namespace_hash a unique hash for the namespace @return the resultant object """ if not code: raise Exception, 'Cannot evaluate empty statement.' my_hash = hash(code) ^ namespace_hash #cache if does not exist if not self._eval_cache.has_key(my_hash): self._eval_cache[my_hash] = eval(code, namespace, namespace) #return from cache return self._eval_cache[my_hash] def get_io_signaturev(self, direction): """ Get a list of io signatures for this flow graph. @param direction a string of 'in' or 'out' @return a list of dicts with: type, label, vlen, size """ sorted_pads = { 'in': self.get_pad_sources(), 'out': self.get_pad_sinks(), }[direction] #load io signature return [{ 'label': str(pad.get_param('label').get_evaluated()), 'type': str(pad.get_param('type').get_evaluated()), 'vlen': str(pad.get_param('vlen').get_evaluated()), 'size': pad.get_param('type').get_opt('size'), 'optional': bool(pad.get_param('optional').get_evaluated()), } for pad in sorted_pads] def get_pad_sources(self): """ Get a list of pad source blocks sorted by id order. @return a list of pad source blocks in this flow graph """ pads = filter(lambda b: b.get_key() == 'pad_source', self.get_enabled_blocks()) return sorted(pads, lambda x, y: cmp(x.get_id(), y.get_id())) def get_pad_sinks(self): """ Get a list of pad sink blocks sorted by id order. @return a list of pad sink blocks in this flow graph """ pads = filter(lambda b: b.get_key() == 'pad_sink', self.get_enabled_blocks()) return sorted(pads, lambda x, y: cmp(x.get_id(), y.get_id())) def get_imports(self): """ Get a set of all import statments in this flow graph namespace. @return a set of import statements """ imports = sum([block.get_imports() for block in self.get_enabled_blocks()], []) imports = sorted(set(imports)) return imports def get_variables(self): """ Get a list of all variables in this flow graph namespace. Exclude paramterized variables. @return a sorted list of variable blocks in order of dependency (indep -> dep) """ variables = filter(lambda b: _variable_matcher.match(b.get_key()), self.get_enabled_blocks()) return expr_utils.sort_objects(variables, lambda v: v.get_id(), lambda v: v.get_var_make()) def get_parameters(self): """ Get a list of all paramterized variables in this flow graph namespace. @return a list of paramterized variables """ parameters = filter(lambda b: _parameter_matcher.match(b.get_key()), self.get_enabled_blocks()) return parameters def rewrite(self): """ Flag the namespace to be renewed. """ self._renew_eval_ns = True _FlowGraph.rewrite(self) def evaluate(self, expr): """ Evaluate the expression. @param expr the string expression @throw Exception bad expression @return the evaluated data """ if self._renew_eval_ns: self._renew_eval_ns = False #reload namespace n = dict() #load imports for imp in self.get_imports(): try: exec imp in n except: pass #load parameters np = dict() for parameter in self.get_parameters(): try: e = eval(parameter.get_param('value').to_code(), n, n) np[parameter.get_id()] = e except: pass n.update(np) #merge param namespace #load variables for variable in self.get_variables(): try: e = eval(variable.get_param('value').to_code(), n, n) n[variable.get_id()] = e except: pass #make namespace public self.n = n self.n_hash = hash(str(n)) #evaluate e = self._eval(expr, self.n, self.n_hash) return e