Coverage for /pythoncovmergedfiles/medio/medio/src/fuzz_text_ops.py: 54%

1###### Coverage stub 

2import atexit 

3import coverage 

4cov = coverage.coverage(data_file='.coverage', cover_pylib=True) 

5cov.start() 

6# Register an exist handler that will print coverage 

7def exit_handler(): 

8 cov.stop() 

9 cov.save() 

10atexit.register(exit_handler) 

11####### End of coverage stub 

12#!/usr/bin/python3 

13# Copyright 2023 Google LLC 

14# 

15# Licensed under the Apache License, Version 2.0 (the "License"); 

16# you may not use this file except in compliance with the License. 

17# You may obtain a copy of the License at 

18# 

19# http://www.apache.org/licenses/LICENSE-2.0 

20# 

21# Unless required by applicable law or agreed to in writing, software 

22# distributed under the License is distributed on an "AS IS" BASIS, 

23# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 

24# See the License for the specific language governing permissions and 

25# limitations under the License. 

26# 

27########################################################################## 

28"""Module for hitting the native text modules""" 

29import sys 

30import atheris 

31 

32 

33# Instrument selected imports rather than atheris.instrument_all() since the 

34# python package will have a huge amount of code and instrument_all() will 

35# take many minutes to complete. 

36with atheris.instrument_imports(): 

37 import numpy as np 

38 import tensorflow as tf 

39 from tensorflow_addons import text 

40 

41 

42@atheris.instrument_func 

43def fuzz_parse_time(data): 

44 fdp = atheris.FuzzedDataProvider(data) 

45 

46 formats = [ 

47 'SECOND', 'MILLISECOND', 'MICROSECOND', 'NANOSECOND', 

48 fdp.ConsumeUnicodeNoSurrogates(fdp.ConsumeIntInRange(1, 32)) 

49 ] 

50 try: 

51 text.parse_time(time_string=fdp.ConsumeUnicodeNoSurrogates( 

52 fdp.ConsumeIntInRange(1, 1024)), 

53 time_format=fdp.ConsumeUnicodeNoSurrogates( 

54 fdp.ConsumeIntInRange(1, 1024)), 

55 output_unit=fdp.PickValueInList(formats)) 

56 except tf.errors.InvalidArgumentError: 

57 pass 

58 

59 

60@atheris.instrument_func 

61def fuzz_skip_gram(data): 

62 fdp = atheris.FuzzedDataProvider(data) 

63 

64 input_bytes = [] 

65 for idx in range(fdp.ConsumeIntInRange(1, 100)): 

66 input_bytes.append(fdp.ConsumeBytes(fdp.ConsumeIntInRange(1, 64))) 

67 input_tensor = tf.constant(input_bytes) 

68 

69 keys_inp = [] 

70 for idx in range(5): 

71 keys_inp.append(fdp.ConsumeBytes(fdp.ConsumeIntInRange(1, 16))) 

72 keys = tf.constant(keys_inp) 

73 values = tf.constant([0, 1, 2, 3, 4], tf.dtypes.int64) 

74 

75 tf.lookup.StaticHashTable(tf.lookup.KeyValueTensorInitializer(keys, values), 

76 -1) 

77 no_table_output = text.skip_gram_ops._filter_input( 

78 input_tensor=input_tensor, 

79 vocab_freq_table=None, 

80 vocab_min_count=None, 

81 vocab_subsampling=None, 

82 corpus_size=None, 

83 seed=None, 

84 ) 

85 

86 

87@atheris.instrument_func 

88def TestOneInput(data): 

89 fuzz_parse_time(data) 

90 try: 

91 fuzz_skip_gram(data) 

92 except (tf.errors.FailedPreconditionError, UnicodeDecodeError): 

93 pass 

94 

95 

96def main(): 

97 atheris.Setup(sys.argv, TestOneInput) 

98 atheris.Fuzz() 

99 

100 

101if __name__ == "__main__": 

102 main()