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authorMatthew Sackman <matthew@lshift.net>2009-12-17 18:50:02 +0000
committerMatthew Sackman <matthew@lshift.net>2009-12-17 18:50:02 +0000
commitae3a821babc64cb1c464fec9c9acebb3936ca2ae (patch)
treef440906540871424837ae7de11b1ab00ab6552af
parent0cc5117167d0857cf6aaf3f53f58f372394b34c2 (diff)
downloadrabbitmq-server-ae3a821babc64cb1c464fec9c9acebb3936ca2ae.tar.gz
geometric distribution
-rw-r--r--src/random_distributions.erl38
1 files changed, 38 insertions, 0 deletions
diff --git a/src/random_distributions.erl b/src/random_distributions.erl
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+%% The contents of this file are subject to the Mozilla Public License
+%% Version 1.1 (the "License"); you may not use this file except in
+%% compliance with the License. You may obtain a copy of the License at
+%% http://www.mozilla.org/MPL/
+%%
+%% Software distributed under the License is distributed on an "AS IS"
+%% basis, WITHOUT WARRANTY OF ANY KIND, either express or implied. See the
+%% License for the specific language governing rights and limitations
+%% under the License.
+%%
+%% The Original Code is RabbitMQ.
+%%
+%% The Initial Developers of the Original Code are LShift Ltd,
+%% Cohesive Financial Technologies LLC, and Rabbit Technologies Ltd.
+%%
+%% Portions created before 22-Nov-2008 00:00:00 GMT by LShift Ltd,
+%% Cohesive Financial Technologies LLC, or Rabbit Technologies Ltd
+%% are Copyright (C) 2007-2008 LShift Ltd, Cohesive Financial
+%% Technologies LLC, and Rabbit Technologies Ltd.
+%%
+%% Portions created by LShift Ltd are Copyright (C) 2007-2009 LShift
+%% Ltd. Portions created by Cohesive Financial Technologies LLC are
+%% Copyright (C) 2007-2009 Cohesive Financial Technologies
+%% LLC. Portions created by Rabbit Technologies Ltd are Copyright
+%% (C) 2007-2009 Rabbit Technologies Ltd.
+%%
+%% All Rights Reserved.
+%%
+%% Contributor(s): ______________________________________.
+%%
+
+-module(random_distributions).
+
+-export([geometric/1]).
+
+geometric(P) when 0.0 < P andalso P < 1.0 ->
+ U = 1.0 - random:uniform(),
+ rabbit_misc:ceil(math:log(U) / math:log(1.0 - P)).