def split_sp():
netlist = NetlistThieleSmallNL()
graph = Graph(netlist=netlist)
print(graph.edges(data=True))
graph.split_sp()
os.remove(path)
return True
def plot_GraphAnalysis():
netlist = NetlistThieleSmallNL()
graph = Graph(netlist=netlist)
graph.buildCore()
graph.analysis.plot(show=False)
os.remove(path)
return True
def TestCore2Tex():
netlist = NetlistThieleSmallNL()
graph = Graph(netlist=netlist)
core = graph.to_core()
content = netlist2tex(netlist)
content += graphplot2tex(graph)
content += core2tex(core)
texdocument(content, path, title='test core2tex')
os.remove(path)
return True
def TestCore2Tex():
netlist = NetlistThieleSmallNL()
graph = Graph(netlist=netlist)
core = graph.to_core()
folder = os.path.join(here, 'temp')
if not os.path.exists(folder):
os.mkdir(folder)
path = os.path.join(folder, 'test_core2tex.tex')
content = netlist2tex(netlist)
content += graphplot2tex(graph, folder=folder)
content += core2tex(core)
texdocument(content, path, title='test core2tex')
shutil.rmtree(folder)
return True
"""
from __future__ import absolute_import, division, print_function
import os
from pyphs import Netlist, Graph
label = 'triodeamp'
path = os.path.realpath(__file__)[:os.path.realpath(__file__).rfind(os.sep)]
netlist_filename = path + os.sep + label + '.net'
netlist = Netlist(netlist_filename)
graph = Graph(netlist=netlist)
core = graph.to_core(verbose=False)
core.linear_nonlinear()
core.subsinverse()
#core.reduce_z()
#if __name__ == '__main__':
#
# from pyphs import signalgenerator
#
# config = {'fs': 96e3,
# 'split': True,
# 'pbar': True,
# 'maxit': 100,
""" from __future__ import absolute_import, division, print_function import os from pyphs import Netlist, Graph # --------------------------- NETLIST ------------------------------------- # label = 'pickup' this_script = os.path.realpath(__file__) here = this_script[:this_script.rfind(os.sep)] netlist_filename = here + os.sep + label + '.net' netlist = Netlist(netlist_filename) # --------------------------- GRAPH --------------------------------------- # graph = Graph(netlist=netlist, label=label) # --------------------------- CORE ---------------------------------------- # core = graph.buildCore() ## --------------------------- SIMULATION ---------------------------------- # #if __name__ == '__main__': # # import numpy # import matplotlib.pyplot as plt # from pyphs import Netlist, Graph # from pyphs.misc.tools import interleave # # core.reduce_z() # # # Define the simulation parameters
def split_sp():
netlist = NetlistThieleSmallNL()
graph = Graph(netlist=netlist)
graph.split_sp()
os.remove(path)
return True
def plot_Graph():
netlist = NetlistThieleSmallNL()
graph = Graph(netlist=netlist)
graph.plot(show=False)
os.remove(path)
return True
# -*- coding: utf-8 -*-
"""
Created on Wed May 10 23:48:24 2017
@author: Falaize
Use data_generator.py to generate a valid data.txt;
Uncomment below to regenerate the netlist.
"""
from pyphs import Graph
import os
from pyphs.examples.pwl.data_generator import (netlist_name, generate_data,
generate_netlist)
generate_data()
generate_netlist()
path = os.path.realpath(__file__)[:os.path.realpath(__file__).rfind(os.sep)]
netlist_path = os.path.join(path, netlist_name + '.net')
graph = Graph(netlist=netlist_path, label=netlist_name)
core = graph.to_core()
#if __name__ == '__main__':
# import sympy as sp
# sp.plot(graph.core.H, (graph.core.x[0], -10, 10))
# sp.plot(graph.core.z[0], (graph.core.w[0], -10, 10))
def initUI(self):
self.graph = Graph(label=self.label)
self.dimsLayout = QHBoxLayout()
self.dimsLayout.setContentsMargins(0, 0, 0, 0)
self.nodesWidget = DescriptionWidget('Nodes', '0', 'Number of nodes')
self.edgesWidget = DescriptionWidget('Edges', '0', 'Number of edges')
self.dimsLayout.addWidget(self.nodesWidget)
self.dimsLayout.addWidget(self.edgesWidget)
self.dimsLayout.addStretch()
self.dimsWidget = QWidget(self)
self.dimsWidget.setLayout(self.dimsLayout)
# ---------------------------------------------------------------------
# Define Graph Actions
self.buttonsLayout = QHBoxLayout()
self.buttonsLayout.setContentsMargins(0, 0, 0, 0)
build_icon = QIcon(os.path.join(iconspath, 'work.png'))
self.buildAction = QAction(build_icon, "&Build the graph", self)
self.buildAction.setShortcut('Ctrl+G')
self.buildAction.setStatusTip(
"Build the graph from the netlist and perform realizability analysis"
)
self.buildAction.triggered.connect(self._plot_graph)
self.buildButton = QPushButton(build_icon, '')
self.buildButton.setToolTip("Build the system's graph")
self.buildButton.clicked.connect(self._build)
self.buttonsLayout.addWidget(self.buildButton)
# PlotGraph Action
graph_icon = QIcon(os.path.join(iconspath, 'graph.png'))
self.plotgraphAction = QAction(graph_icon, "&Plot system's graph",
self)
self.plotgraphAction.setShortcut('Ctrl+G')
self.plotgraphAction.setStatusTip("Plot the system's graph")
self.plotgraphAction.triggered.connect(self._plot_graph)
self.plotgraphButton = QPushButton(graph_icon, '')
self.plotgraphButton.setToolTip("Plot the system's graph")
self.plotgraphButton.clicked.connect(self._plot_graph)
self.buttonsLayout.addWidget(self.plotgraphButton)
# PlotGraph MSA
self.plotSTAction = QAction(graph_icon,
'&Plot realizability spanning tree', self)
self.plotSTAction.setShortcut('Ctrl+T')
self.plotSTAction.setStatusTip('Plot the realizability spanning tree')
self.plotSTAction.triggered.connect(self._plot_spantree)
self.plotSTButton = QPushButton(graph_icon, '')
self.plotSTButton.clicked.connect(self._plot_spantree)
self.plotSTButton.setToolTip('Plot the realizability spanning tree')
self.buttonsLayout.addWidget(self.plotSTButton)
# ---------------------------------------------------------------------
# title widget
title = 'GRAPH'
self.labelWidget = QLabel()
status_labels = {True: 'OK', False: 'Not OK'}
self.titleWidget = TitleWidget(title=title,
labelWidget=self.labelWidget,
status_labels=status_labels,
buttonsLayout=self.buttonsLayout)
# ---------------------------------------------------------------------
# signals
self.netlistWidget.statusSig.sig.connect(self._status_changed)
self.netlistWidget.initSig.sig.connect(self._netlist_init)