lexicon_test.py 2.83 KB
Newer Older
Ivan Bogatyy's avatar
Ivan Bogatyy committed
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
# Copyright 2017 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (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.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Tests for SyntaxNet lexicon."""

import os
import os.path

import tensorflow as tf

from google.protobuf import text_format

from dragnn.python import lexicon

# Imported for FLAGS.tf_master, which is used in the lexicon module.

from syntaxnet import parser_trainer
from syntaxnet import task_spec_pb2

FLAGS = tf.app.flags.FLAGS


_EXPECTED_CONTEXT = r"""
input { name: "word-map" Part { file_pattern: "/tmp/word-map" } }
input { name: "tag-map" Part { file_pattern: "/tmp/tag-map" } }
input { name: "tag-to-category" Part { file_pattern: "/tmp/tag-to-category" } }
input { name: "lcword-map" Part { file_pattern: "/tmp/lcword-map" } }
input { name: "category-map" Part { file_pattern: "/tmp/category-map" } }
input { name: "char-map" Part { file_pattern: "/tmp/char-map" } }
input { name: "char-ngram-map" Part { file_pattern: "/tmp/char-ngram-map" } }
input { name: "label-map" Part { file_pattern: "/tmp/label-map" } }
input { name: "prefix-table" Part { file_pattern: "/tmp/prefix-table" } }
input { name: "suffix-table" Part { file_pattern: "/tmp/suffix-table" } }
45
input { name: "known-word-map" Part { file_pattern: "/tmp/known-word-map" } }
Ivan Bogatyy's avatar
Ivan Bogatyy committed
46
47
48
"""


49
50
51
52
53
54
55
def setUpModule():
  if not hasattr(FLAGS, 'test_srcdir'):
    FLAGS.test_srcdir = ''
  if not hasattr(FLAGS, 'test_tmpdir'):
    FLAGS.test_tmpdir = tf.test.get_temp_dir()


Ivan Bogatyy's avatar
Ivan Bogatyy committed
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
class LexiconTest(tf.test.TestCase):

  def testCreateLexiconContext(self):
    expected_context = task_spec_pb2.TaskSpec()
    text_format.Parse(_EXPECTED_CONTEXT, expected_context)
    self.assertProtoEquals(
        lexicon.create_lexicon_context('/tmp'), expected_context)

  def testBuildLexicon(self):
    empty_input_path = os.path.join(FLAGS.test_tmpdir, 'empty-input')
    lexicon_output_path = os.path.join(FLAGS.test_tmpdir, 'lexicon-output')

    with open(empty_input_path, 'w'):
      pass

    # The directory may already exist when running locally multiple times.
    if not os.path.exists(lexicon_output_path):
      os.mkdir(lexicon_output_path)

    # Just make sure this doesn't crash; the lexicon builder op is already
    # exercised in its own unit test.
    lexicon.build_lexicon(lexicon_output_path, empty_input_path)


if __name__ == '__main__':
  tf.test.main()