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Deep-GUI is a tool for generating intelligent inputs to test UI-based applications, such as Android or web applications.

License: GNU General Public License v3.0

Python 90.35% Shell 9.65%
android deep-learning gui-testing

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deep-gui's Issues

yaml.parser.ParserError caused by typo in monkey-test-configs.yaml

Is there a bug in monkey-test-configs.yaml?

- [2, [.7, .3, 0, 0, 0, 0, deep, c95s, e10]

Should line 3 be - [2, [.7, .3], 0, 0, 0, 0, deep, c95s, e10]?

Currrently main.py is throwing an error

yaml.parser.ParserError: while parsing a flow sequence
  in "configs.yaml", line 3, column 5
expected ',' or ']', but got '<scalar>'
  in "configs.yaml", line 4, column 1

But changes to - [2, [.7, .3], 0, 0, 0, 0, deep, c95s, e10] throws another exception

Traceback (most recent call last):
  File "main.py", line 688, in <module>
    for i, probs_and_ops in enumerate(tester_option_probs_and_ops)]))
  File "main.py", line 688, in <listcomp>
    for i, probs_and_ops in enumerate(tester_option_probs_and_ops)]))
KeyError: 0

What is the purpose of ./clone_avd.sh tester_ref collector_ref

Hi, I am reading the scripts under /scripts and trying to understand them.

In the 1st subsection of Android Experiments (Monkey++) in the README, we need to create an emulator by

cd scripts
./create_tester_ref
./clone_avd.sh tester_ref collector_ref

May I ask what is the purpose of the 3rd line? In particular, why we need to clone an avd from tester_ref to collector_ref? If we only use the pre-trained model, is it necessary to "clone" the avd?

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