From xemacs-m  Wed Jul  9 19:31:01 1997
Received: from altair.xemacs.org (steve@xemacs.miranova.com [206.190.83.19])
	by xemacs.org (8.8.5/8.8.5) with ESMTP id TAA22381
	for <xemacs-beta@xemacs.org>; Wed, 9 Jul 1997 19:30:59 -0500 (CDT)
Received: (from steve@localhost)
	by altair.xemacs.org (8.8.6/8.8.6) id RAA08982;
	Wed, 9 Jul 1997 17:33:54 -0700
Mail-Copies-To: never
To: xemacs-beta@xemacs.org
Subject: Re: XEmacs 20.3-beta12 "Helsinki" is released
References: <m2en984tp2.fsf@altair.xemacs.org> <kigiuyjettf.fsf@jagor.srce.hr> <m2yb7fu7n2.fsf@altair.xemacs.org> <kig67ujepvq.fsf@jagor.srce.hr>
X-Url: http://www.miranova.com/%7Esteve/
X-Face: #!T9!#9s-3o8)*uHlX{Ug[xW7E7Wr!*L46-OxqMu\xz23v|R9q}lH?cRS{rCNe^'[`^sr5"
 f8*@r4ipO6Jl!:Ccq<xoV[Qz2u8<8-+Vwf2gzJ44lf_/y9OaQ`@#Q65{U4/TC)i2`~/M&QI$X>p:9I
 OSS'2{-)-4wBnVeg0S\O4Al@)uC[pD|+
X-Attribution: sb
From: Steven L Baur <steve@xemacs.org>
In-Reply-To: Hrvoje Niksic's message of "10 Jul 1997 02:02:01 +0200"
Mime-Version: 1.0 (generated by tm-edit 7.108)
Content-Type: multipart/mixed;
 boundary="Multipart_Wed_Jul__9_17:33:53_1997-1"
Content-Transfer-Encoding: 7bit
Date: 09 Jul 1997 17:33:54 -0700
Message-ID: <m2vi2ju4nh.fsf@altair.xemacs.org>
Lines: 625
X-Mailer: Gnus v5.4.62/XEmacs 20.3(beta13) - "Brussels"

--Multipart_Wed_Jul__9_17:33:53_1997-1
Content-Type: text/plain; charset=US-ASCII

Hrvoje Niksic <hniksic@srce.hr> writes:

> Steven L Baur <steve@xemacs.org> writes:
>> I have noticed that MIME inline messages with x-uue encoding (like
>> Michael Harnois' cartoon) beep and don't display properly.

> What does "don't display properly" mean?

I had been reading the message I'm responding to now (that's where
your BBDB entry came from) and clicked on Michael's message.


--Multipart_Wed_Jul__9_17:33:53_1997-1
Content-Type: image/gif
Content-Disposition: inline; filename="read-only-beep.gif"
Content-Transfer-Encoding: base64
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--Multipart_Wed_Jul__9_17:33:53_1997-1
Content-Type: text/plain; charset=US-ASCII



>> Doing (setq debug-on-error t) does not stop and give a lisp
>> backtrace,

> This is because `buffer-read-only' is a member of `debug-ignored-errors'.
> And it's intentional (it's in 19.34, too), since it is really annoying
> to get a debugger on every buffer-read-only error.  If the MIME code
> wants to throw an error, it can use another code.

I see.  I guess I don't fully understand all the implications of the
interface change.

>> but (setq debug-on-signal t) does.  If this is intended to be a
>> feature, we should certainly add `Debug On Signal' to the Lisp
>> interaction mode menu, and probably to the Options -> General
>> Options menu as well.

> No, definitely not.  `debug-on-signal' is a feature that should be
> used *only* by people who know *very* well what they are doing.

Um, I don't like where this is leading.

> To debug such errors, either set `stack-trace-on-signal' to t, or
> remove the error in question from `debug-ignored-errors'.  I don't
> recommend either of these actions to become the default.

Right now if a user gets a strange beep, we can give a simple one
sentence description of what to do:

Select Options -> General Options -> Debug On Error, repeat the
problem and mail us the lisp stack backtrace you get.


I do not believe raising the complexity of telling a naive user how to 
get a lisp stack backtrace is a win.
-- 
steve@calag.com baur
Unsolicited commercial e-mail will be billed at $250/message.

--Multipart_Wed_Jul__9_17:33:53_1997-1--

