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        "description": "Bonsai\n======\n\n| Bonsai is an attempt to provide a miniature and refined representation\n  for the\n| often cumbersome **syntax trees** and **program models**.\n| This idea, of providing a *smaller tree* that is more or less the same\n  thing,\n| is where the name comes from.\n\n| This work started as part of an analysis tool that I am developing for\n  my own\n| research. I am interested in analysing `ROS`_\n| robotics applications, which are often written in C++.\n| Since free C++ analysis tools are *rather scarce*, I tried\n| to come up with my own, using the Python bindings of the ``clang``\n  compiler.\n| At the moment of this writing, I am aware that these bindings are\n  incomplete\n| in terms of AST information they provide.\n\n| As this analysis tool developed, I realized that the C++ analysis\n  features\n| are independent of ROS or any other framework, and that this kind of\n  tool\n| might be useful for someone else, either as is, or as a starting point\n  for\n| something else.\n\nFeatures\n--------\n\n| Bonsai provides an interface to represent, analyse or manipulate\n  programs.\n| The model it uses is abstract enough to serve as a basis for specific\n  language\n| implementations, although it focuses more on\n  imperative/object-oriented\n| languages for now.\n\nWhat to expect from **bonsai**:\n\n-  classes for the different **entities of a program** (e.g. variables,\n   functions, etc.);\n-  extended classes for **specific programming languages** (only C++ for\n   now);\n-  **parser implementations**, able to take a file and produce a model\n   (e.g. ``clang`` for C++);\n-  extensible interface to **manipulate and query** the resulting model\n   (e.g. find calls for a function);\n-  a console script to use as a standalone application.\n\nInstallation\n------------\n\n| Here are some instructions to help you get bonsai.\n| Bonsai has been tested with *Linux Ubuntu* and *Python 2.7*,\n| but the platform should not make much of a difference.\n| Dependencies are minimal, and depend on what you want to analyse.\n\n| Since at the moment there is only a single implementation for C++\n| using clang 3.8, you will need to install ``libclang`` and the\n| `clang.cindex bindings`_\n| (``pip install clang``) to parse C++ files. Skip this if you want to\n  use\n| the library in any other way.\n\nMethod 1: Running Without Installation\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n| Open a terminal, and move to a directory where you want to clone this\n| repository.\n\n.. code:: bash\n\n    git clone https://github.com/git-afsantos/bonsai.git\n\n| There is an executable script in the root of this repository to help\n  you get started.\n| It allows you to run bonsai without installing it. Make sure that your\n  terminal is at\n| the root of the repository.\n\n.. code:: bash\n\n    cd bonsai\n    python bonsai-runner.py <args>\n\nYou can also run it with the executable package syntax.\n\n.. code:: bash\n\n    python -m bonsai <args>\n\nMethod 2: Installing Bonsai on Your Machine\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n| Bonsai is now available on `PyPi`_.\n| You can install it from source or from a wheel.\n\n.. code:: bash\n\n    [sudo] pip install bonsai-code\n\n| The above command will install bonsai for you. Alternatively, download\n  and extract its\n| source, move to the project\u2019s root directory, and then execute the\n  following.\n\n.. code:: bash\n\n    python setup.py install\n\n| After installation, you should be able to run the command ``bonsai``\n  in your terminal\n| from anywhere.\n\nExamples\n--------\n\n| The ``cpp_example.py`` script at the root of this repository is a\n  small example on\n| how to parse a C++ file and then find all references to a variable\n  ``a`` in that file.\n| In it, you can see parser creation\n\n.. code:: python\n\n    parser = CppAstParser(workspace = \"examples/cpp\")\n\n| access to the global (top level, or root) scope of the program, and\n  obtaining\n| a pretty string representation of everything that goes in it\n\n.. code:: python\n\n    parser.global_scope.pretty_str()\n\n| getting a list of all references to variable ``a``, starting the\n  search from\n| the top of the program (global scope)\n\n.. code:: python\n\n    CodeQuery(parser.global_scope).all_references.where_name(\"a\").get()\n\n| and accessing diverse properties from the returned ``CodeReference``\n  objects,\n| such as file line and column (``cppobj.line``, ``cppobj.column``), the\n  type of the\n| object (``cppobj.result``), what is it a reference of\n  (``cppobj.reference``,\n| in this case a ``CodeVariable``) and an attempt to interpret the\n  program and\n| resolve the reference to a concrete value\n  (``resolve_reference(cppobj)``).\n\n| Do note that **resolving expressions and references is still\n  experimental**,\n| and more often that not will not be able to produce anything useful.\n\n| This is the pretty string output for a program that defines a class\n  ``C``\n| and a couple of functions.\n\n::\n\n    class C:\n      C():\n        [declaration]\n\n      void m(int a):\n        [declaration]\n\n      int x_ = None\n\n    C():\n      x_ = 0\n\n    void m(int a):\n      a = (a + 2) * 3\n      this.x_ = a\n\n    int main(int argc, char ** argv):\n      C c = new C()\n      c.m(42)\n      C * c1 = new C()\n      C * c2 = new C()\n      new C()\n      delete(c1)\n      delete(c2)\n      return 0\n\n| The pretty string representation, as seen, is a sort of\n  pseudo-language, inspired\n| in the Python syntax, even though the parsed program is originally in\n  C++.\n\n| For more details on what you can get from the various program\n  entities, check out\n| the source for the abstract model and then the language-specific\n| implementation of your choice.\n\n.. _ROS: http://www.ros.org/\n.. _clang.cindex bindings: https://github.com/llvm-mirror/clang/tree/master/bindings/python\n.. _PyPi: https://pypi.python.org/pypi/bonsai-code\n\n",
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