def test():
chip = Chip("square_root")
test_in = Stimulus(chip, "input", "float", [i * 0.1 for i in range(100)])
test_out = Response(chip, "output", "float")
#create a filter component using the C code
sqrt = Component("sqrt.c")
#add an instance to the chip
sqrt(
chip,
inputs={
"x": test_in,
},
outputs={
"sqrt_x": test_out,
},
)
#run the simulation
chip.simulation_reset()
while len(test_out) < 100:
chip.simulation_step()
pyplot.plot(list(test_in), list(test_out))
pyplot.xlim(0, 10.1)
pyplot.title("Square Root of x")
pyplot.xlabel("x")
pyplot.ylabel("$\\sqrt{x}$")
pyplot.savefig("../docs/source/examples/images/example_1.png")
pyplot.show()
def test():
chip = Chip("square_root")
test_in = Stimulus(chip, "input", "float", [i*0.1 for i in range(100)])
test_out = Response(chip, "output", "float")
#create a filter component using the C code
sqrt = Component("sqrt.c")
#add an instance to the chip
sqrt(
chip,
inputs = {
"x":test_in,
},
outputs = {
"sqrt_x":test_out,
},
)
#run the simulation
chip.simulation_reset()
while len(test_out) < 100:
chip.simulation_step()
pyplot.plot(list(test_in), list(test_out))
pyplot.xlim(0, 10.1)
pyplot.title("Square Root of x")
pyplot.xlabel("x")
pyplot.ylabel("$\\sqrt{x}$")
pyplot.savefig("../docs/source/examples/images/example_1.png")
pyplot.show()
def test():
from math import pi
from numpy import abs
from scipy import fft
from scipy.signal import firwin
from matplotlib import pyplot
from chips.api.api import Chip, Stimulus, Response, Wire, Component
#create a chip
chip = Chip("filter_example")
#low pass filter half nyquist 50 tap
kernel = Stimulus(chip, "kernel", "float",
firwin(50, 0.5, window="blackman"))
#impulse response
input_ = Stimulus(chip, "input", "float",
[1.0] + [0.0 for i in range(1024)])
output = Response(chip, "output", "float")
#create a filter component using the C code
fir_comp = Component("fir.c")
#add an instance to the chip
fir_inst_1 = fir_comp(
chip,
inputs={
"a": input_,
"k": kernel,
},
outputs={
"z": output,
},
parameters={
"N": len(kernel) - 1,
},
)
#run the simulation
chip.simulation_reset()
while len(output) < 1024:
chip.simulation_step()
#plot the result
pyplot.semilogy(abs(fft(list(output)))[0:len(output) / 2])
pyplot.title("Magnitude of Impulse Response")
pyplot.xlim(0, 512)
pyplot.xlabel("X Sample")
pyplot.savefig("../docs/source/examples/images/example_6.png")
pyplot.show()
def test():
from math import pi
from numpy import abs
from scipy import fft
from scipy.signal import firwin
from matplotlib import pyplot
from chips.api.api import Chip, Stimulus, Response, Wire, Component
#create a chip
chip = Chip("filter_example")
#low pass filter half nyquist 50 tap
kernel = Stimulus(chip, "kernel", "float", firwin(50, 0.5, window="blackman"))
#impulse response
input_ = Stimulus(chip, "input", "float", [1.0] + [0.0 for i in range(1024)])
output = Response(chip, "output", "float")
#create a filter component using the C code
fir_comp = Component("fir.c")
#add an instance to the chip
fir_inst_1 = fir_comp(
chip,
inputs = {
"a":input_,
"k":kernel,
},
outputs = {
"z":output,
},
parameters = {
"N":len(kernel)-1,
},
)
#run the simulation
chip.simulation_reset()
while len(output) < 1024:
chip.simulation_step()
#plot the result
pyplot.semilogy(abs(fft(list(output)))[0:len(output)/2])
pyplot.title("Magnitude of Impulse Response")
pyplot.xlim(0, 512)
pyplot.xlabel("X Sample")
pyplot.savefig("../docs/source/examples/images/example_6.png")
pyplot.show()
def test():
chip = Chip("taylor")
stimulus = arange(-2*pi, 2.0*pi, pi/25)
x = Stimulus(chip, "x", "double", stimulus)
sin_x = Response(chip, "sin_x", "double")
cos_x = Response(chip, "cos_x", "double")
#create a filter component using the C code
sqrt = Component("taylor.c")
#add an instance to the chip
sqrt(
chip,
inputs = {
"x":x,
},
outputs = {
"sin_x":sin_x,
"cos_x":cos_x,
},
)
#run the simulation
chip.simulation_reset()
while len(cos_x) < len(x):
chip.simulation_step()
x = list(x)
sin_x = list(sin_x)[:100]
cos_x = list(cos_x)[:100]
pyplot.xticks(
[-2.0*pi, -pi, 0, pi, 2.0*pi],
[r'$-2\pi$', r"$-\pi$", r'$0$', r'$\pi$', r'$2\pi$'])
pyplot.plot(x, sin_x, label="sin(x)")
pyplot.plot(x, cos_x, label="cos(x)")
pyplot.ylim(-1.1, 1.1)
pyplot.xlim(-2.2 * pi, 2.2 * pi)
pyplot.title("Trig Functions")
pyplot.xlabel("x (radians)")
pyplot.legend(loc="upper left")
pyplot.savefig("../docs/source/examples/images/example_2.png")
pyplot.show()
def test():
chip = Chip("taylor")
stimulus = arange(-2 * pi, 2.0 * pi, pi / 25)
x = Stimulus(chip, "x", "double", stimulus)
sin_x = Response(chip, "sin_x", "double")
cos_x = Response(chip, "cos_x", "double")
#create a filter component using the C code
sqrt = Component("taylor.c")
#add an instance to the chip
sqrt(
chip,
inputs={
"x": x,
},
outputs={
"sin_x": sin_x,
"cos_x": cos_x,
},
)
#run the simulation
chip.simulation_reset()
while len(cos_x) < len(x):
chip.simulation_step()
x = list(x)
sin_x = list(sin_x)[:100]
cos_x = list(cos_x)[:100]
pyplot.xticks([-2.0 * pi, -pi, 0, pi, 2.0 * pi],
[r'$-2\pi$', r"$-\pi$", r'$0$', r'$\pi$', r'$2\pi$'])
pyplot.plot(x, sin_x, label="sin(x)")
pyplot.plot(x, cos_x, label="cos(x)")
pyplot.ylim(-1.1, 1.1)
pyplot.xlim(-2.2 * pi, 2.2 * pi)
pyplot.title("Trig Functions")
pyplot.xlabel("x (radians)")
pyplot.legend(loc="upper left")
pyplot.savefig("../docs/source/examples/images/example_2.png")
pyplot.show()
def test():
chip = Chip("fft")
x_re = [0.0 for i in range(1024)]
x_im = [0.0 for i in range(1024)]
x_re[0:63] = [sin(2.0 * pi * (i/64.0)) for i in range(64)]
x_re = Stimulus(chip, "x_re", "double", x_re)
x_im = Stimulus(chip, "x_im", "double", x_im)
fft_x_re = Response(chip, "fft_x_re", "double")
fft_x_im = Response(chip, "fft_x_im", "double")
#create a filter component using the C code
fft = Component("fft.c")
#add an instance to the chip
fft(
chip,
inputs = {
"x_re":x_re,
"x_im":x_im,
},
outputs = {
"fft_x_re":fft_x_re,
"fft_x_im":fft_x_im,
},
)
#run the simulation
chip.simulation_reset()
while len(fft_x_im) < len(x_im):
chip.simulation_step()
x_re = list(x_re)
x_im = list(x_im)
fft_x_re = list(fft_x_re)[:len(x_re)]
fft_x_im = list(fft_x_im)[:len(x_im)]
time_complex = [i + (j*1.0) for i, j in zip(x_re, x_im)]
numpy_complex = s.fft(time_complex)
numpy_magnitude = n.abs(numpy_complex)
chips_complex = [i + (j*1.0j) for i, j in zip(fft_x_re, fft_x_im)]
chips_magnitude = n.abs(chips_complex)
f, subplot = pyplot.subplots(3, sharex=True)
pyplot.subplots_adjust(hspace=1.0)
subplot[0].plot(x_re, 'g')
subplot[1].plot(numpy_magnitude, 'r')
subplot[2].plot(chips_magnitude, 'b')
pyplot.xlim(0, 1023)
subplot[0].set_title("Time Domain Signal (64 point sine)")
subplot[1].set_title("Frequency Spectrum - Numpy")
subplot[2].set_title("Frequency Spectrum - Chips")
subplot[0].set_xlabel("Sample")
subplot[1].set_xlabel("Sample")
subplot[2].set_xlabel("Sample")
pyplot.savefig("../docs/source/examples/images/example_5.png")
pyplot.show()
application = __import__("demo.examples.%s.application"%example, globals(), locals(), ["application"], -1)
try:
application.application(
chip,
eth_stim,
rs232_stim,
switches_stim,
buttons_stim,
timer_stim,
eth_response,
rs232_response,
led_response,
)
if "simulate" in sys.argv:
chip.simulation_reset()
chip.simulation_run()
if "vsim" in sys.argv:
chip.generate_verilog()
chip.generate_testbench()
chip.compile_iverilog(True)
if "compile" in sys.argv:
compile_user_design(chip)
if "build" in sys.argv:
build_xst(chip, os.path.join("bsp", board))
if "download" in sys.argv:
globals(), locals(), ["application"], -1)
try:
application.application(
chip,
eth_stim,
rs232_stim,
switches_stim,
buttons_stim,
timer_stim,
eth_response,
rs232_response,
led_response,
)
if "simulate" in sys.argv:
chip.simulation_reset()
chip.simulation_run()
if "vsim" in sys.argv:
chip.generate_verilog()
chip.generate_testbench()
chip.compile_iverilog(True)
if "compile" in sys.argv:
compile_user_design(chip)
if "build" in sys.argv:
build_xst(chip, os.path.join("bsp", board))
if "download" in sys.argv:
