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docs: write small guide for using pyosys
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docs/source/using_yosys/pyosys.rst
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docs/source/using_yosys/pyosys.rst
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Scripting with Pyosys
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=====================
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Pyosys is a limited subset of the Yosys C++ API (aka "libyosys") made available
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using the Python programming language.
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It offers access both to writing Yosys scripts like ``.ys`` and ``.tcl`` files
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with the amenities of the Python programming language (functions, flow control,
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etc), but also allows some access to internal data structures at the same time
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unlike those two platforms, allowing you to also implement complex functionality
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that is would otherwise not possible without writing custom passes using C++.
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Getting Pyosys
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--------------
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Pyosys supports Python 3.8.1 or higher. You can access Pyosys using one of two
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methods:
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1. Compiling Yosys with the Makefile flag ``ENABLE_PYOSYS=1``
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This adds the flag ``-y`` to the Yosys binary, which allows you to execute
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Python scripts using an interpreter embedded in Yosys itself:
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``yosys -y ./my_pyosys_script.py``
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2. Installing the Pyosys wheels
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On macOS and GNU/Linux (specifically, not musllinux,) you can install
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pre-built wheels of Yosys using ``pip`` as follows:
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``python3 -m pip install pyosys``
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Which then allows you to run your scripts as follows:
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``python3 ./my_pyosys_script.py``
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Scripting and Database Inspection
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---------------------------------
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To start with, you have to import libyosys as follows:
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.. code-block:: python
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from pyosys import libyosys
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As a reminder, Python allows you to alias imported modules and objects, so
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this import may be preferable for terseness:
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.. code-block:: python
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from pyosys import libyosys as ys
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Now, scripting is actually quite similar to ``.ys`` and ``.tcl`` script in that
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you can provide mostly text commands. Albeit, you can construct your scripts
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to use Python's amenities including flow controls, loops, and functions:
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.. code-block:: python
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do_flatten = True
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ys.run_pass("read_verilog tests/simple/fiedler-cooley.v")
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ys.run_pass("hierarchy -check -auto-top")
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if do_flatten:
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ys.run_pass("flatten")
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…but this does not provide anything that Tcl scripts do not provide you with.
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The real power of using Pyosys comes from the fact you can manually instantiate,
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manage, and interact with the design database.
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As an example, here is the same script with a manually instantiated design.
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.. literalinclude:: /code_examples/pyosys/simple_database.py
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:start-after: loading design
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:end-before: top module inspection
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:language: python
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What's new here is that you can manually inspect the design's database. This
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gives you access to huge chunk of the design database API as in declared in the
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``kernel/rtlil.h`` header.
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For example, here's how to list the input and output ports of the top module
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of your design:
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.. literalinclude:: /code_examples/pyosys/simple_database.py
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:start-after: top module inspection
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:end-before: # synth
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:language: python
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.. tip::
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C++ data structures in Yosys are bridged to Python such that they have a
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pretty similar API to Python objects, for example:
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- ``std::vector`` supports the same methods as iterables in Python.
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- ``std::set`` and hashlib ``pool`` support the same methods as ``set``\s in
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Python.
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- ``dict`` supports the same methods as ``dict``\s in Python, albeit it is
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unordered, and modifications may cause a complete reordering of the
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dictionary.
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For most operations, the Python equivalents are also supported as arguments
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where they will automatically be cast to the right type, so you do not have
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to manually instantiate the right underlying C++ object(s) yourself.
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Modifying the Database
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----------------------
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.. warning::
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Any modifications to the database may invalidate previous references held
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by Python, just as if you were writing C++. Pyosys does not currently attempt
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to keep deleted objects alive if a reference is held by Python.
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You are not restricted to inspecting the database either: you have the ability
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to modify it, and introduce new elements and/or changes to your design.
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As a demonstrative example, let's assume we want to add an enable line to all
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flip-flops in our fiedler-cooley design.
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First of all, we will run :yoscrypt:`synth` to convert all of the logic to Yosys's
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internal cell structure (see :ref:`sec:celllib_gates`):
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.. literalinclude:: /code_examples/pyosys/simple_database.py
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:start-after: # synth
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:end-before: adding the enable line
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:language: python
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Next, we need to add the new port. The method for this is ``Module::addWire``\.
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.. tip::
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IdString is Yosys's internal representation of strings used as identifiers
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within Verilog designs. They are efficient as only integers are stored and
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passed around, but they can be translated to and from normal strings at will.
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Pyosys will automatically cast Python strings to IdStrings for you, but the
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rules around IdStrings apply, namely that *broadly*:
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- Identifiers for internal cells must start with ``$``\.
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- All other identifiers must start with ``\``\.
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.. literalinclude:: /code_examples/pyosys/simple_database.py
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:start-after: adding the enable line
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:end-before: hooking the enable line
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:language: python
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Notice how we modified the wire then called a method to make Yosys re-process
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the ports.
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Next, we can iterate over all constituent cells, and if they are of the type
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``$_DFF_P_``, we do two things:
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1. Change their type to ``$_DFFE_PP_`` to enable hooking up an enable signal.
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2. Hooking up the enable signal.
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.. literalinclude:: /code_examples/pyosys/simple_database.py
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:start-after: hooking the enable line
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:end-before: run check
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:language: python
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To verify that you did everything correctly, it is prudent to call ``.check()``
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on the module you're manipulating as follows:
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.. literalinclude:: /code_examples/pyosys/simple_database.py
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:start-after: run check
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:end-before: write output
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:language: python
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And then finally, write your outputs. Here, I choose an intermediate Verilog
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file and :yoscrypt:`synth_ice40` to map it to the iCE40 architecture.
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.. literalinclude:: /code_examples/pyosys/simple_database.py
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:start-after: write output
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:language: python
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And voila, you will note that in the intermediate output, all ``always @``
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statements have an ``if (enable)``\.
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Encapsulating as Passes
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-----------------------
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Just like when writing C++, you can encapsulate behavior in terms of "passes",
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which are the commands you access using ``run_pass``\. This adds it to a global
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registry of commands that you can use using ``run_pass``.
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.. literalinclude:: /code_examples/pyosys/pass.py
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:language: python
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In general, abstract classes and virtual methods are not really supported by
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Pyosys due to their complexity, but there are two exceptions which are:
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- ``Pass`` in ``kernel/register.h``
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- ``Monitor`` in ``kernel/rtlil.h``
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