Coverage for /pythoncovmergedfiles/medio/medio/src/fuzz_preprocessing_encoders.py: 53%

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 2022 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"""Targets sklearn.preprocessing""" 

27import os 

28import sys 

29import atheris 

30 

31import numpy as np 

32from sklearn.preprocessing import OneHotEncoder 

33from sklearn.preprocessing import OrdinalEncoder 

34 

35def get_random_arr(fdp): 

36 l1 = list() 

37 for i in range(fdp.ConsumeIntInRange(1, 1000)): 

38 l1.append( 

39 [ 

40 fdp.ConsumeIntInRange(1, 1000), 

41 fdp.ConsumeIntInRange(1, 1000), 

42 fdp.ConsumeIntInRange(1, 1000) 

43 ] 

44 ) 

45 return l1 

46 

47 

48def TestOneInput(data): 

49 fdp = atheris.FuzzedDataProvider(data) 

50 oh_x1 = np.array(get_random_arr(fdp)) 

51 oh_x2 = np.array(get_random_arr(fdp)) 

52 

53 # Test that one hot encoder raises error for unknown features 

54 # present during transform. 

55 oh = OneHotEncoder(handle_unknown="error") 

56 oh.fit(oh_x1) 

57 try: 

58 oh.transform(oh_x2) 

59 except ValueError: 

60 pass 

61 

62 

63 oe_x1 = np.array(get_random_arr(fdp)) 

64 oe_x2 = np.array(get_random_arr(fdp)) 

65 

66 oe = OrdinalEncoder(handle_unknown="use_encoded_value", unknown_value=-1) 

67 oe.fit(oe_x1) 

68 try: 

69 oe.transform(oe_x2) 

70 except ValueError: 

71 pass 

72 

73 

74def main(): 

75 atheris.instrument_all() 

76 atheris.Setup(sys.argv, TestOneInput, enable_python_coverage=True) 

77 atheris.Fuzz() 

78 

79 

80if __name__ == "__main__": 

81 main()