def plot_GraphAnalysis():
netlist = NetlistThieleSmallNL()
graph = Graph(netlist=netlist)
graph.to_core()
graph.analysis.plot(show=False)
os.remove(path)
return True
def plot_GraphAnalysis():
netlist = NetlistThieleSmallNL()
graph = Graph(netlist=netlist)
graph.to_core()
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,
# 'eps': 1e-9,
# 'lang': 'python'
from pyphs import Netlist, Graph
# --------------------------- NETLIST ------------------------------------- #
label = 'piano_hammer'
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)
# --------------------------- CORE ---------------------------------------- #
core = graph.to_core()
## --------------------------- SIMULATION ---------------------------------- #
#if __name__ == '__main__':
#
# import numpy
# import matplotlib.pyplot as plt
# from pyphs import Simulation
#
# core.reduce_z()
#
# # Define the simulation parameters
# config = {'fs': 48e3, # Sample rate (Hz)
# 'grad': 'discret', # In {'discret', 'theta', 'trapez'}
# 'theta': 0., # Theta-scheme for the structure
import os
from pyphs import Netlist, Graph
# --------------------------- NETLIST ------------------------------------- #
label = 'piano_hammer'
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)
# --------------------------- CORE ---------------------------------------- #
core = graph.to_core()
## --------------------------- SIMULATION ---------------------------------- #
#if __name__ == '__main__':
#
# import numpy
# import matplotlib.pyplot as plt
# from pyphs import Simulation
#
# core.reduce_z()
#
# # Define the simulation parameters
# config = {'fs': 48e3, # Sample rate (Hz)
# 'grad': 'discret', # In {'discret', 'theta', 'trapez'}
# 'theta': 0., # Theta-scheme for the structure
# 'split': True, # split implicit from explicit part
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,
# 'eps': 1e-9,
# 'lang': 'python'
