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jand 2003-08-27 15:41:10 +00:00
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22
doc/manual/informal.tex
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@ -44,15 +44,18 @@ export a lot of symbols. One may argue that
Next, we define a generator function called
\code{sayHello}. This is a generator function (as opposed to
a classic Python function) because it contains a \keyword{yield}
statement (instead of \keyword{return} statement). In \myhdl{}, a
\keyword{yield} statement has a similar purpose as a \keyword{wait}
statement in VHDL: the statement suspends execution of the function,
and its clauses specify the conditions on which the generator should
wait before resuming. In this case, it should
statement (instead of \keyword{return} statement).
When called, a generator function returns a \dfn{generator},
which is the basic simulation object in \myhdl{}.
The \keyword{yield} statement in \myhdl{} has a similar meaning as
the \keyword{wait} statement in VHDL: the statement suspends execution
of a generator, and its clauses specify the conditions on which the
generator should wait before resuming. In this case, it should
\index{wait!for a delay}%
wait for a delay.
To make sure that the generator runs ``forever'', we wrap its behavior
To make sure that a generator runs ``forever'', we wrap its behavior
in a \code{while 1} loop. This is a standard Python idiom, and it is
the \myhdl\ equivalent of the implicit looping behavior of a
\index{Verilog!always block}%
@ -60,9 +63,8 @@ Verilog \keyword{always} block
\index{VHDL!process}%
and a VHDL \keyword{process}.
In \myhdl{}, the basic simulation objects are generators. Generators
are created by calling generator functions. For example, variable
\code{gen} refers to a generator. To simulate this generator, we pass
In the example, variable
\code{gen} refers to a generator. To simulate it, we pass
it as an argument to a \class{Simulation} object constructor. We then
run the simulation for the desired amount of time. In \myhdl{}, time
is modeled as a natural integer.
@ -224,7 +226,7 @@ StopSimulation: Simulated for duration 50
\begin{notice}[warning]
Some commonly used terminology has different meanings
in Python and hardware design. Rather than artificially
in Python versus hardware design. Rather than artificially
changing terminology, I think it's best to keep it
and explicitly describing the differences.