1 files changed, 0 insertions, 75 deletions
diff --git a/Mailman/docs/antispam.txt b/Mailman/docs/antispam.txt
deleted file mode 100644
index 3ad5e982e..000000000
--- a/Mailman/docs/antispam.txt
+++ /dev/null
@@ -1,75 +0,0 @@
-Anti-spam defences
-==================
-
-By design, Mailman does not have very sophisticated anti-spam measures because
-this type of filtering is done much more efficiently at the MTA level.  For
-example, if Mailman were to do spam detection, it could not reject the message
-at SMTP time.
-
-Still, Mailman does employ a small number of rather ham-handed anti-spam
-measures.
-
-    >>> from Mailman.Handlers.SpamDetect import process
-    >>> from Mailman.queue import Switchboard
-    >>> from Mailman.configuration import config
-    >>> mlist = config.db.list_manager.create(u'_xtest@example.com')
-
-
-Short circuiting
-----------------
-
-If a message is pre-approved, this handler does nothing.
-
-    >>> msg = message_from_string("""\
-    ... From: aperson@example.com
-    ...
-    ... An important message.
-    ... """)
-    >>> msgdata = {'approved': True}
-    >>> process(mlist, msg, msgdata)
-    >>> print msg.as_string()
-    From: aperson@example.com
-    <BLANKLINE>
-    An important message.
-    <BLANKLINE>
-    >>> msgdata
-    {'approved': True}
-
-
-Header matching
----------------
-
-There is a global configuration variable that can be set to a list of header
-matches.  Each item in that list is a 2-tuple of the header to match and a
-regular expression.  For example, if we wanted to block all message that come
-from 'aperson' regardless of the domain, we'd do something like the following
-in our mailman.cfg file:
-
-    >>> old_value = config.KNOWN_SPAMMERS[:]
-    >>> config.KNOWN_SPAMMERS.append(('from', 'aperson'))
-
-Now if the same message is posted to the mailing list, and that message is not
-pre-approved.  The handler will throw an exception that signals the message is
-spam.
-
-    >>> msgdata = {}
-    >>> process(mlist, msg, msgdata)
-    Traceback (most recent call last):
-    ...
-    SpamDetected
-    >>> print msg.as_string()
-    From: aperson@example.com
-    <BLANKLINE>
-    An important message.
-    <BLANKLINE>
-    >>> msgdata
-    {}
-
-    # Restore global state
-    config.KNOWN_SPAMMERS = old_value
-
-
-Header filter rules
--------------------
-
-XXX Need tests.