internal_sigs = [signal.format(sig="q_synt{}".format(x)) for x in range(len(jks[0]))]
y_outs = [y_out.format(sig="y{}".format(x+1), formula=ys[x]) for x in range(len(ys))]
processes = [process.format(sig="q_synt{}".format(x), j_input=js[x], k_input=ks[x]) for x in range(len(js))]
return document.format(
ports="\n".join(signals),
internal_sigs="\n".join(internal_sigs),
y_outs="\n".join(y_outs),
processes="\n".join(processes))
if __name__ == '__main__':
s = u'\u25cbX\u2081\u2191\xb9Y\u2081X\u2082\u2191\xb2Y\u2082\u2193\xb9Y\u2083\u2193\xb2Y\u2084\u25cf'
p = LSAAnalyser(parse(s))
p.analysis()
conn, sigs = machine.make_machine(p.matrix, p.barenodes)
mc = machine.encode_machine(conn, sigs)
tbl = build_table(*mc)
jks = jk(tbl)
# ks = [generate_formula("K_{%d}" % (i), jk) for i, jk in enumerate(jks[1])]
js = [generate_formula_vhdl(jk) for i, jk in enumerate(jks[0])]
ks = [generate_formula_vhdl(jk) for i, jk in enumerate(jks[1])]
# ys = [generate_formula("Y_{%d}" % (i), jk) for i, jk in enumerate(jks[1])]
# print js
# print js
print p.in_signals
vhdl(jks, len(p.in_signals), len(p.out_signals))
def _fill_signals(self):
if self.model:
self.ui.listSignals.clear()
signals = sorted([
conditionname([x])
for x in self.model.in_signals + self.model.out_signals
])
self.ui.listSignals.insertItems(0, QtCore.QStringList(signals))
self.ui.listNodes.clear()
nodes = sorted("%d: %d" % (k, x)
for k, x in self.model.signals.iteritems())
self.ui.listNodes.insertItems(0, QtCore.QStringList(nodes))
machine = None
if self.machine:
machine = self.machine
if machine:
self.ui.listTransitions.clear()
num = graph.renumerate(machine[0])
trans = [
"%d -> %d : %s" % (num.get_id(x[0] + 1), num.get_id(x[1] + 1),
conditionname(x[2])) for x in machine[0]
]
self.ui.listTransitions.insertItems(0, QtCore.QStringList(trans))
self.ui.listSignalsMachine.clear()
nodes = sorted("%4d: %s" % (num.get_id(k + 1), conditionname(x))
for k, x in machine[1].iteritems())
self.ui.listSignalsMachine.insertItems(0,
QtCore.QStringList(nodes))
if self.model:
if len(self.model.barenodes) < 10:
matrix = ""
for i in self.model.matrix:
matrix += ','.join(["%6s" % (x) for x in i]) + "\n"
self.log(matrix)
# model = QtCode.QStandartItemModel(2,3,self)
model = MatrixModel(self.ui.matrix, self.model)
self.ui.matrix.setModel(model)
self.ui.matrix.resizeColumnsToContents()
self.ui.listLoops.clear()
node_names = {
k: nodename(k, {k: x})
for k, x in self.model.barenodes.iteritems()
}
lines = [
'->'.join([node_names[i + 1] for i in l])
for l in self.model.find_loops()
]
self.ui.listLoops.insertItems(0, QtCore.QStringList(lines))
self.ui.listPaths.clear()
lines = [
'->'.join([node_names[i + 1] for i in l])
for l in self.model.find_paths()
]
self.ui.listPaths.insertItems(0, QtCore.QStringList(lines))
if self.tr_table and self.model:
jks = mtable.jk(self.tr_table)
q_count = len(self.tr_table[0].q)
x_count = len(self.model.in_signals)
y_count = len(self.model.out_signals)
funcs = [mtable.generate_formula("J_{%d}" % (i+1), jk) for i, jk in enumerate(jks[0])] + \
[mtable.generate_formula("J_{%dm}" % (i+1), mtable.minimize(jk, q_count, x_count)) for i, jk in enumerate(jks[0])] + \
[mtable.generate_formula("K_{%d}" % (i+1), jk) for i, jk in enumerate(jks[1])] + \
[mtable.generate_formula("K_{%dm}" % (i+1), mtable.minimize(jk, q_count, x_count)) for i, jk in enumerate(jks[1])] + \
[mtable.generate_formula("Y_{%d}" % (i+1), jk) for i, jk in enumerate(jks[2])] + \
[mtable.generate_formula("Y_{%dm}" % (i+1), mtable.minimize(jk, q_count, x_count)) for i, jk in enumerate(jks[2])]
# mtable.latexmath2png.math2png(funcs, os.getcwd(), prefix = "adcs_")
mtable.latexmath2png.math2png(funcs, os.getcwd(), prefix="adcs_")
tr_model = TransitionModel(self.ui.tr_table, self.tr_table,
self.model, jks)
self.ui.tr_table.setModel(tr_model)
self.ui.tr_table.resizeColumnsToContents()
self.ui.vhdl_text.setPlainText(vhdl.vhdl(jks, x_count, y_count))
]
processes = [
process.format(sig="q_synt{}".format(x), j_input=js[x], k_input=ks[x])
for x in range(len(js))
]
return document.format(ports="\n".join(signals),
internal_sigs="\n".join(internal_sigs),
y_outs="\n".join(y_outs),
processes="\n".join(processes))
if __name__ == '__main__':
s = u'\u25cbX\u2081\u2191\xb9Y\u2081X\u2082\u2191\xb2Y\u2082\u2193\xb9Y\u2083\u2193\xb2Y\u2084\u25cf'
p = LSAAnalyser(parse(s))
p.analysis()
conn, sigs = machine.make_machine(p.matrix, p.barenodes)
mc = machine.encode_machine(conn, sigs)
tbl = build_table(*mc)
jks = jk(tbl)
# ks = [generate_formula("K_{%d}" % (i), jk) for i, jk in enumerate(jks[1])]
js = [generate_formula_vhdl(jk) for i, jk in enumerate(jks[0])]
ks = [generate_formula_vhdl(jk) for i, jk in enumerate(jks[1])]
# ys = [generate_formula("Y_{%d}" % (i), jk) for i, jk in enumerate(jks[1])]
# print js
# print js
print p.in_signals
vhdl(jks, len(p.in_signals), len(p.out_signals))
def _fill_signals(self):
if self.model:
self.ui.listSignals.clear()
signals = sorted([conditionname([x]) for x in self.model.in_signals + self.model.out_signals])
self.ui.listSignals.insertItems(0, QtCore.QStringList(signals))
self.ui.listNodes.clear()
nodes = sorted("%d: %d" % (k,x) for k,x in self.model.signals.iteritems())
self.ui.listNodes.insertItems(0, QtCore.QStringList(nodes))
machine = None
if self.machine:
machine = self.machine
if machine:
self.ui.listTransitions.clear()
num = graph.renumerate(machine[0])
trans = ["%d -> %d : %s" % (num.get_id(x[0]+1), num.get_id(x[1]+1), conditionname(x[2])) for x in machine[0]]
self.ui.listTransitions.insertItems(0, QtCore.QStringList(trans))
self.ui.listSignalsMachine.clear()
nodes = sorted("%4d: %s" % (num.get_id(k+1),conditionname(x)) for k,x in machine[1].iteritems())
self.ui.listSignalsMachine.insertItems(0, QtCore.QStringList(nodes))
if self.model:
if len(self.model.barenodes) < 10:
matrix = ""
for i in self.model.matrix:
matrix += ','.join(["%6s" % (x) for x in i]) + "\n"
self.log(matrix)
# model = QtCode.QStandartItemModel(2,3,self)
model = MatrixModel(self.ui.matrix, self.model)
self.ui.matrix.setModel(model)
self.ui.matrix.resizeColumnsToContents()
self.ui.listLoops.clear()
node_names = {k:nodename(k, {k: x}) for k,x in self.model.barenodes.iteritems()}
lines = ['->'.join([node_names[i+1] for i in l]) for l in self.model.find_loops()]
self.ui.listLoops.insertItems(0, QtCore.QStringList(lines))
self.ui.listPaths.clear()
lines = ['->'.join([node_names[i+1] for i in l]) for l in self.model.find_paths()]
self.ui.listPaths.insertItems(0, QtCore.QStringList(lines))
if self.tr_table and self.model:
jks = mtable.jk(self.tr_table)
q_count = len(self.tr_table[0].q)
x_count = len(self.model.in_signals)
y_count = len(self.model.out_signals)
funcs = [mtable.generate_formula("J_{%d}" % (i+1), jk) for i, jk in enumerate(jks[0])] + \
[mtable.generate_formula("J_{%dm}" % (i+1), mtable.minimize(jk, q_count, x_count)) for i, jk in enumerate(jks[0])] + \
[mtable.generate_formula("K_{%d}" % (i+1), jk) for i, jk in enumerate(jks[1])] + \
[mtable.generate_formula("K_{%dm}" % (i+1), mtable.minimize(jk, q_count, x_count)) for i, jk in enumerate(jks[1])] + \
[mtable.generate_formula("Y_{%d}" % (i+1), jk) for i, jk in enumerate(jks[2])] + \
[mtable.generate_formula("Y_{%dm}" % (i+1), mtable.minimize(jk, q_count, x_count)) for i, jk in enumerate(jks[2])]
# mtable.latexmath2png.math2png(funcs, os.getcwd(), prefix = "adcs_")
mtable.latexmath2png.math2png(funcs, os.getcwd(), prefix = "adcs_")
tr_model = TransitionModel(self.ui.tr_table, self.tr_table, self.model, jks)
self.ui.tr_table.setModel(tr_model)
self.ui.tr_table.resizeColumnsToContents()
self.ui.vhdl_text.setPlainText(vhdl.vhdl(jks, x_count, y_count))