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This is an archived project. Repository and other project resources are read-only.
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Joshua Moerman
hybrid-ads
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613dd459
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613dd459
authored
9 years ago
by
Joshua Moerman
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Updates the readme
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The MIT License (MIT)
Copyright (c) 2015 Joshua Moerman
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
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...
...
@@ -4,12 +4,24 @@ Yannakakis
An algorithm to construct an adaptive distinguishing sequence for a mealy
machine. If it does not exist, a partial sequence will be generated, which is
still useful for generating a seperating set (in the sense of Lee and
Yannakakis). The partial leaves will be augmented via the classical
seperating sequences.
Yannakakis). The partial leaves will be augmented via ordinary seperating
sequences. In effect, the resulting test method is an instantiation of the HSI-
method, which tends towards the DS-method.
Most of the algorithms are found in the directory
`lib/`
and their usage is best
illustrated in
`src/main.cpp`
or
`src/methods.cpp`
.
Currently states and inputs are encoded internally as integer values (because
this enables fast indexing). Only for I/O, maps are used to translate between
integers and strings. To reduce the memory footprint
`uint16_t`
s are used, as
the range is big enough for our use cases (
`uint8_t`
is clearly too small for
the number of states, but could be used for alphabets).
## Building
The only dependency is boost. In order to build the project, one can use cmake.
```
mkdir build
cd build
...
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@@ -18,8 +30,10 @@ make
```
Then every .cpp file in the src directory will be built and generate an
executable in the build directory. Note that you'll need c++14, but clang in
Mac OSX will understand that (and if not, you'll have to update Xcode).
executable in the build directory. Note that you'll need c++14, but clang in Mac
OSX will understand that (and if not, you'll have to update Xcode). The main
sourcefile (
`src/main.cpp`
) can also be built with c++11 (this is tested on some
commits on both Windows and linux).
## Java
...
...
@@ -27,3 +41,8 @@ Mac OSX will understand that (and if not, you'll have to update Xcode).
For now the java code, which acts as a bridge between LearnLib and this c++
tool, is included here. But it should earn its own repo at some point. Also, my
javanese is a bit rusty...
## License
See
`LICENSE`
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