cfelton

import myhdl
from myhdl import Signal
from myhdl import intbv
from myhdl import instance
from myhdl import always


def example_instance(clock, rx_bit_cnt, restart, tomax=111):

cfelton

from __future__ import division
from __future__ import print_function

from myhdl import *

"""
This module contains two designs that implement bank permutations.  The
bank permutator takes an array input and maps to a differently ordered
array output.

cfelton

from random import randint
from myhdl import *

def pipe(xi, xo, clock, reset, N=8):

    buffer = [Signal(xi.val) for _ in range(N)]

    @always_seq(clock.posedge, reset=reset)
    def rtl():

cfelton

from __future__ import print_function
from __future__ import division

import os
from random import randint
from math import log
from pprint import pprint
from collections import OrderedDict
import pickle

cfelton

from __future__ import division
from __future__ import print_function

from myhdl import *

from zintf import IBus
from zintf import SPIBus
from spi_slave import SPISlave

cfelton

def vhdl_stub(sigi, sigo):
    vhdl_stub.id = vhdl_stub.id + 1
    this_id = vhdl_stub.id
    @always_comb
    def assign():
        sigo.next = not sigi
    return assign
vhdl_stub.vhdl_code ="""
foo_bar_$this_id: entity work.blah(myhdl)
"""

cfelton

from random import randint
from myhdl import *

# output from the following tristate example
# Driver1  Driver2  Tristate  
#  None     None     None
#  None     1        1   
#  0        None     0   
#  None     1        1   

cfelton

from myhdl import *

"""
This set of tests exercies a peculiar scenario where an
expanded interface is Signal is flagged as having multiple
drivers.  This appears to be a name collision in the name
expansion and was introduced in ....
"""

class Intf1(object):

cfelton

from __future__ import division
from __future__ import print_function

from random import randint

from myhdl import *


class ADXL345(object):

cfelton

from myhdl import *


class SignalMatrix(object):

    def __init__(self, size=(4,4,), stype=intbv(0)[9:]):
        # the size of the matrix
        self.size = size
        nrows, ncols = size