|
|
@@ -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. |
|
|
|