From a308a5425f6f7bed7fc15ba43d9bf3f1894083fa Mon Sep 17 00:00:00 2001
From: Walter Bender <walter@sugarlabs.org>
Date: Sat, 27 Jul 2013 22:38:22 +0000
Subject: remove extra stuff

---
(limited to 'pysamples/brain.py')

diff --git a/pysamples/brain.py b/pysamples/brain.py
deleted file mode 100644
index 33ee320..0000000
--- a/pysamples/brain.py
+++ /dev/null
@@ -1,111 +0,0 @@
-# A Turtle Block based on the Speak Activity interface to AIML
-# Copyright 2012 Walter Bender, Sugar Labs
-#
-# Copyright (C) 2008 Sebastian Silva Fundacion FuenteLibre
-# sebastian@fuentelibre.org
-#
-# Style and structure taken from Speak.activity Copyright (C) Joshua Minor
-#
-#     HablarConSara.activity is free software: you can redistribute it
-#     and/or modify it under the terms of the GNU General Public
-#     License as published by the Free Software Foundation, either
-#     version 3 of the License, or (at your option) any later version.
-#
-#     HablarConSara.activity is distributed in the hope that it will be useful,
-#     but WITHOUT ANY WARRANTY; without even the implied warranty of
-#     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-#     GNU General Public License for more details.
-#
-#     You should have received a copy of the GNU General Public
-#     License along with HablarConSara.activity.  If not, see
-#     <http://www.gnu.org/licenses/>.
-
-
-def myblock(tw, text):
-    ''' Dialog with AIML library: Usage: Load this code into a Python
-        Block. Pass text as an argument and the robot's response will
-        be pushed to the stack. Use a Pop Block to pop the response
-        off the the stack.'''
-
-    # The AIML library is bundled with the Speak activity
-    SPEAKPATHS = ['/home/olpc/Activities/Speak.activity',
-                  '/home/liveuser/Activities/Speak.activity',
-                  '/usr/share/sugar/activities/Speak.activity']
-    import os
-    from gettext import gettext as _
-    speakpath = None
-    for sp in SPEAKPATHS:
-        if os.path.exists(sp):
-            speakpath = sp
-            break
-    if speakpath is None:
-        tw.showlabel(
-            'status', _('Please install the Speak Activity and try again.'))
-        return
-    import sys
-    sys.path.append(speakpath)
-
-    import aiml
-    import voice
-
-    BOTS = {
-        _('Spanish'): {'name': 'Sara',
-                       'brain': os.path.join(speakpath, 'bot', 'sara.brn'),
-                       'predicates': {'nombre_bot': 'Sara',
-                                      'botmaster': 'La comunidad Azucar'}},
-        _('English'): {'name': 'Alice',
-                       'brain': os.path.join(speakpath, 'bot', 'alice.brn'),
-                       'predicates': {'name': 'Alice',
-                                      'master': 'The Sugar Community'}}}
-
-    def get_mem_info(tag):
-        meminfo = file('/proc/meminfo').readlines()
-        return int([i for i in meminfo if i.startswith(tag)][0].split()[1])
-
-    # load Standard AIML set for restricted systems
-    if get_mem_info('MemTotal:') < 524288:
-        mem_free = get_mem_info('MemFree:') + get_mem_info('Cached:')
-        if mem_free < 102400:
-            BOTS[_('English')]['brain'] = None
-        else:
-            BOTS[_('English')]['brain'] = os.path.join(speakpath, 'bot',
-                                                       'alisochka.brn')
-
-    def get_default_voice():
-        default_voice = voice.defaultVoice()
-        if default_voice.friendlyname not in BOTS:
-            return voice.allVoices()[_('English')]
-        else:
-            return default_voice
-
-    def brain_respond(kernel, text):
-        if kernel is not None:
-            text = kernel.respond(text)
-        if kernel is None or not text:
-            text = ''
-            tw.showlabel(
-                'status',
-                _("Sorry, I can't understand what you are asking about."))
-        return text
-
-    def brain_load(kernel, voice):
-        brain = BOTS[voice.friendlyname]
-        kernel = aiml.Kernel()
-
-        if brain['brain'] is None:
-            tw.showlabel(
-                'status', _('Sorry, there is no free memory to load my brain. \
-Close other activities and try once more.'))
-            return kernel
-
-        kernel.loadBrain(brain['brain'])
-        for name, value in brain['predicates'].items():
-            kernel.setBotPredicate(name, value)
-
-        return kernel
-
-    if not hasattr(tw, 'aiml_kernel'):
-        tw.aiml_kernel = brain_load(tw, get_default_voice())
-    response_text = brain_respond(tw.aiml_kernel, text)
-    tw.lc.heap.append(response_text)
-    return
--
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