This file is indexed.

/usr/bin/tegaki-build is in python-tegakitools 0.3.1-1.1.

This file is owned by root:root, with mode 0o755.

The actual contents of the file can be viewed below.

  1
  2
  3
  4
  5
  6
  7
  8
  9
 10
 11
 12
 13
 14
 15
 16
 17
 18
 19
 20
 21
 22
 23
 24
 25
 26
 27
 28
 29
 30
 31
 32
 33
 34
 35
 36
 37
 38
 39
 40
 41
 42
 43
 44
 45
 46
 47
 48
 49
 50
 51
 52
 53
 54
 55
 56
 57
 58
 59
 60
 61
 62
 63
 64
 65
 66
 67
 68
 69
 70
 71
 72
 73
 74
 75
 76
 77
 78
 79
 80
 81
 82
 83
 84
 85
 86
 87
 88
 89
 90
 91
 92
 93
 94
 95
 96
 97
 98
 99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
#!/usr/bin/python
# -*- coding: utf-8 -*-

# Copyright (C) 2009 The Tegaki project contributors
#
# This program 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 2 of the License, or
# (at your option) any later version.
#
# This program 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 this program; if not, write to the Free Software Foundation, Inc.,
# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.

# Contributors to this file:
# - Mathieu Blondel

import sys
import os
from optparse import OptionParser

from tegaki.charcol import CharacterCollection
from tegaki.trainer import Trainer, TrainerError

from tegakitools.charcol import *

VERSION = '0.3.1'

class TegakiBuildError(Exception):
    pass

class TegakiBuild(object):

    def __init__(self, options, args):
        self._directories = options.directories
        self._charcols = options.charcols
        self._databases = options.databases
        self._tomoe = options.tomoe
        self._kuchibue = options.kuchibue
        self._include = options.include
        self._exclude = options.exclude
        self._max_samples = options.max_samples
        self._list = options.list
        if not self._list:
            self._trainer = args[0]
            self._meta = args[1]

    def run(self):
        if self._list:
            self._list_trainers()
        else:
            self._train()

    def _list_trainers(self):
        avail_trainers = Trainer.get_available_trainers()
        print "\n".join(["- " + key for key in avail_trainers.keys()])

    def _train(self):
        charcol = CharacterCollection()

        # read meta file
        try:
            meta = Trainer.read_meta_file(self._meta)
        except IOError, e:
            raise TegakiBuildError, str(e)

        charcol = get_aggregated_charcol(
                        ((TYPE_CHARCOL, self._charcols),
                         (TYPE_CHARCOL_DB, self._databases),
                         (TYPE_DIRECTORY, self._directories),
                         (TYPE_TOMOE, self._tomoe),
                         (TYPE_KUCHIBUE, self._kuchibue)))


        charcol.include_characters_from_files(self._include)
        charcol.exclude_characters_from_files(self._exclude)

        # max samples
        if self._max_samples:
            charcol.remove_samples(keep_at_most=self._max_samples)

        if charcol.get_total_n_characters() == 0:
            raise TegakiBuildError, "No character samples to train!"

        trainer = self._get_trainer()

        path = self._meta.replace(".meta", ".model")
        if not path.endswith(".model"): path += ".model"
        trainer.train(charcol, meta, path)

        print "Training done!"

    def _get_trainer(self):
        avail_trainers = Trainer.get_available_trainers()

        if not self._trainer in avail_trainers:
            err = "Not an available trainer!\n"
            err += "Available ones include: %s" % \
                ", ".join(avail_trainers.keys())
            raise TegakiBuildError, err

        return avail_trainers[self._trainer]()

usage = """usage: %prog [options] trainer meta-file

trainer          a trainer available on the system
meta-file        path to a model .meta file"""

parser = OptionParser(usage=usage, version="%prog " + VERSION,
                      description="Train a model")


parser.add_option("-d", "--directory",
                  action="append", type="string", dest="directories",
                  default=[],
                  help="directory containing individual XML character files")
parser.add_option("-c", "--charcol",
                  action="append", type="string", dest="charcols",
                  default=[],
                  help="character collection XML files")
parser.add_option("-b", "--db",
                  action="append", type="string", dest="databases",
                  default=[],
                  help="character collection XML files")
parser.add_option("-t", "--tomoe-dict",
                  action="append", type="string", dest="tomoe",
                  default=[],
                  help="Tomoe XML dictionary files")
parser.add_option("-k", "--kuchibue",
                  action="append", type="string", dest="kuchibue",
                  default=[],
                  help="Kuchibue unipen database")


parser.add_option("-l", "--list",
                  action="store_true",dest="list", default=False,
                  help="List available trainers")


parser.add_option("-i", "--include",
                  action="append", type="string", dest="include",
                  default=[],
                  help="File containing characters to include")
parser.add_option("-e", "--exclude",
                  action="append", type="string", dest="exclude",
                  default=[],
                  help="File containing characters to exclude")
parser.add_option("-m", "--max-samples",
                  type="int", dest="max_samples",
                  help="Maximum number of samples per character")

(options, args) = parser.parse_args()

try:
    if not options.list and len(args) < 2:
        raise TegakiBuildError, "Needs a trainer and meta-file!"

    TegakiBuild(options, args).run()
except TegakiBuildError, e:
    sys.stderr.write(str(e) + "\n\n")
    parser.print_help()
    sys.exit(1)