modify annotation of fuzzer

mindarmour/fuzz_testing/fuzzing.py

@@ -102,9 +102,6 @@ class Fuzzer:
 
     Args:
         target_model (Model): Target fuzz model.
-        train_dataset (numpy.ndarray): Training dataset used for determining the neurons' output boundaries.
-        neuron_num (int): The number of testing neurons.
-        segmented_num (int): The number of segmented sections of neurons' output intervals. Default: 1000.
 
     Examples:
         >>> net = Net()
@@ -195,9 +192,7 @@ class Fuzzer:
 
         Raises:
             ValueError, coverage must be subclass of CoverageMetrics.
-
             ValueError, if initial seeds is empty.
-
             ValueError, if element of seed is not two in initial seeds.
         """
         # Check parameters.

requirements.txt

@@ -1,7 +1,7 @@
 numpy >= 1.17.0
 scipy >= 1.5.2
 matplotlib >= 3.2.1
-Pillow >= 2.0.0
+pillow >= 6.2.0
 pytest >= 4.3.1
 wheel >= 0.32.0
 setuptools >= 40.8.0

setup.py

@@ -21,7 +21,7 @@ from setuptools import setup
 from setuptools.command.egg_info import egg_info
 from setuptools.command.build_py import build_py
 
-version = '1.3.0'
+version = '1.4.0'
 cur_dir = os.path.dirname(os.path.realpath(__file__))
 pkg_dir = os.path.join(cur_dir, 'build')
 
@@ -129,8 +129,9 @@ setup(
         'scipy >= 1.5.2',
         'numpy >= 1.17.0',
         'matplotlib >= 3.2.1',
-        'Pillow >= 2.0.0',
-        'scikit-learn >= 0.23.1'
+        'pillow >= 6.2.0',
+        'scikit-learn >= 0.23.1',
+        'easydict >= 1.9',
     ],
     classifiers=[
         'License :: OSI Approved :: Apache Software License'