'tuple' object has no attribute 'config_sim'

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1

I get the following fir example design from open source

from myhdl import *

#=[10,11,13,154]

def m_firfilt(clock, reset, sig_in, sig_out, coef):
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taps = [Signal(intbv(0, min=sig_in.min, max=sig_in.max)) for ii in range(len(coef))]
#coef_data = [Signal(intbv(0, min=sig_in.min, max=sig_in.max)) for ii in coef]

# @todo: check the coefficients, needs to be the correct type
# could even detect float here, scale and convert to int
coef = tuple(coef)  
mshift = len(sig_in)-1
print(mshift)
print(taps)

@always(clock.posedge)
def rtl_sop():
    if reset:
        for ii in range(len(coef)):
            taps[ii].next = 0
        sig_out.next = 0
    else:
        sop = 0
        # Note this adds an extra delay! (Group delay N/2+1)
        for ii in range(len(coef)):
            if ii == 0:
                taps[ii].next = sig_in 
            else: 
                taps[ii].next = taps[ii-1]
            c = coef[ii]
            sop = sop + (taps[ii] * c)
        sig_out.next = (sop >> mshift)    

return rtl_sop

#Convert to Verilog

def convert():
clk = Signal(bool(False))
reset = ResetSignal(bool(False), bool(True), async=True)
sig_in= Signal(intbv(1)[8:])
sig_out=Signal(intbv(1)[8:])
coef = (12,15,17,18,19,20,-3,-5,23,567,45,234)

toVerilog.timescale = “100ms/1ms”
toVerilog(m_firfilt, clk, reset, sig_in,sig_out,coef)

convert()

and I learn the other demo , to write the test, but , it always give me some warning. Even I take more time, I have no idea how to handle it, in fact, I want to see what is the fir response. myhdl is very great tools. I try to learn it.

-- coding: utf-8 --

“”"
Created on Sun Feb 24 16:00:51 2019
/home/wisdom/Documents/pythoncode/myhdl/cfelton-examples/firfilt/firfilt_testbech.py

@author: wisdom
“”"
import numpy as np;
import matplotlib.pyplot as plt
import cv2;
import math;
from cmath import sin
from numpy.core.numeric import dtype
from scipy.signal import butter, lfilter, freqz
from scipy.fftpack import fft;

from myhdl import *
from firfilt import m_firfilt

#m_firfilt(clock, reset, sig_in, sig_out, coef)

Demonstrate the use of the filter.

First make some data to be filtered.

fs = 30.0
T = 5 # seconds
n = int(T * fs) # total number of samples
t = np.linspace(0, T, n, endpoint=False)

“Noisy” data. We want to recover the 1.2 Hz signal from this.

data = np.sin(1.22np.pit) + 1.5np.cos(92np.pit) + 0.5np.sin(12.02np.pi*t)

def m_firfilt_testbench():
sMax = 2**15; sMin=-1*sMax
clock = Signal(bool(0))
reset = ResetSignal(0,active = 0, async= True)
sig_in = Signal(intbv(0, min=sMin, max=sMax))
sig_out = Signal(intbv(0, min=sMin, max=sMax))
#sig_in = Signal(intbv(1)[8:])
#sig_out= Signal(intbv(1)[8:])
coef= [12,15,17,18,19,20,-3,-5,23,567,45,234]

dut= m_firfilt(clock,reset,sig_in,sig_out,coef)

HALF_PERIOD = delay(10)

@always(HALF_PERIOD)
def clockGen():
    clock.next = not clock

@instance
def stimulus():
    reset.next = 1
    delay(20)
    reset.next = 0
    delay(20)
    reset.next = 1

    for i in range(1000):
        sig_in.next=i
        yield clock.negedge
    raise StopSimulation()

monitor功能非常好用， 可以立即检测是否有些功能正确设计了， 类似于signalTAP

@instance
def monitor():
    print("sig_in    sig_out")
    yield reset.posedge
    while 1:
        yield clock.posedge
        yield delay(1)
        if sig_in >200 and sig_in<300:
            print("  %s    %s"%(int(sig_in),int(sig_out)))
return clockGen, stimulus,monitor,dut

tb=m_firfilt_testbench()
tb.config_sim(trace=True)
tb.run_sim()

I run it on Ｓｐｙｄｅｒ， ａｎｄ system have the following message.

AttributeError: ‘tuple’ object has no attribute ‘config_sim’

Thank you

Wisdom

2

Hi,
Can you please rewrite your message with correct formatting to make it easily readable ?