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**/.pytest_cache
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**/.DS_Store
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**/*.pyc
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docs/_build
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build
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dist
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.idea
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src/kyupy.egg-info
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KyuPy - Processing VLSI Circuits With Ease
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==========================================
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KyuPy is a python package for high-performance processing and analysis of
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non-hierarchical VLSI designs. Its purpose is to provide a rapid prototyping
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platform to aid and accelerate research in the fields of VLSI test, diagnosis
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and reliability. KyuPy is freely available under the MIT license.
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Main Features
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-------------
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* Partial [lark](https://github.com/lark-parser/lark) parsers for common files used with synthesized designs:
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bench, gate-level verilog, standard delay format (SDF), standard test interface language (STIL)
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* Bit-parallel gate-level 2-, 4-, and 8-valued logic simulation
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* GPU-accelerated high-throughput gate-level timing simulation
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* High-performance through the use of [numpy](https://numpy.org) and [numba](https://numba.pydata.org)
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Getting Started
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---------------
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KyuPy requires Python 3.6 or newer.
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Install the latest release by running:
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```commandline
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pip3 install --user kyupy
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```
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For best performance, ensure you have [numba](https://pypi.org/project/numba) installed:
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```commandline
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pip3 install --user numba
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```
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GPU/CUDA support may [require some additional setup](https://numba.pydata.org/numba-doc/latest/cuda/index.html).
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If CUDA or numba is not available, KyuPy will automatically fall back to slow, pure python execution.
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The Jupyter Notebook [UsageExamples.ipynb](https://github.com/s-holst/kyupy/blob/main/UsageExamples.ipynb) on GitHub
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contains some useful examples to get familiar with the API.
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Development
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-----------
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To contribute to KyuPy or simply explore the source code, clone the KyuPy [repository](https://github.com/s-holst/kyupy) on GitHub.
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Within your local checkout, run:
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```commandline
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pip3 install --user -e .
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```
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to make the kyupy package available in your python environment.
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The source code comes with tests that can be run with:
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```
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pytest
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```
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KyuPy depends on the following packages:
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* [lark-parser](https://pypi.org/project/lark-parser)
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* [numpy](https://pypi.org/project/numpy)
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* [numba](https://pypi.org/project/numba) (optional, required only for GPU/CUDA support)
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+28
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KyuPy - Pythonic Processing of VLSI Circuits
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============================================
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KyuPy is a Python package for processing and analysis of non-hierarchical gate-level VLSI designs.
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It contains fundamental building blocks for research software in the fields of VLSI test, diagnosis and reliability:
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* Efficient data structures for gate-level circuits and related design data.
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* Partial `lark <https://github.com/lark-parser/lark>`_ parsers for common design files like
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bench, gate-level verilog, standard delay format (SDF), standard test interface language (STIL).
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* Bit-parallel gate-level 2-, 4-, and 8-valued logic simulation.
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* GPU-accelerated high-throughput gate-level timing simulation.
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* High-performance through the use of `numpy <https://numpy.org>`_ and `numba <https://numba.pydata.org>`_.
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Getting Started
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---------------
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KyuPy is available in `PyPI <https://pypi.org/project/kyupy>`_.
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It requires Python 3.6 or newer, `lark-parser <https://pypi.org/project/lark-parser>`_, and `numpy <https://pypi.org/project/numpy>`_.
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Although optional, `numba <https://pypi.org/project/numba>`_ should be installed for best performance.
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GPU/CUDA support in numba may `require some additional setup <https://numba.pydata.org/numba-doc/latest/cuda/index.html>`_.
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If numba is not available, KyuPy will automatically fall back to slow, pure Python execution.
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The Jupyter Notebook `UsageExamples.ipynb <https://github.com/s-holst/kyupy/blob/main/UsageExamples.ipynb>`_ contains some useful examples to get familiar with the API.
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To work with the latest pre-release source code, clone the `KyuPy GitHub repository <https://github.com/s-holst/kyupy>`_.
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Run ``pip3 install --user -e .`` within your local checkout to make the package available in your Python environment.
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The source code comes with tests that can be run with ``pytest``.
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# Minimal makefile for Sphinx documentation
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#
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# You can set these variables from the command line, and also
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# from the environment for the first two.
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SPHINXOPTS ?=
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SPHINXBUILD ?= sphinx-build
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SOURCEDIR = .
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BUILDDIR = _build
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# Put it first so that "make" without argument is like "make help".
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help:
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@$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
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.PHONY: help Makefile
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# Catch-all target: route all unknown targets to Sphinx using the new
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# "make mode" option. $(O) is meant as a shortcut for $(SPHINXOPTS).
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%: Makefile
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@$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
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@@ -0,0 +1,64 @@
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# Configuration file for the Sphinx documentation builder.
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#
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# This file only contains a selection of the most common options. For a full
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# list see the documentation:
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# https://www.sphinx-doc.org/en/master/usage/configuration.html
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# -- Path setup --------------------------------------------------------------
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# If extensions (or modules to document with autodoc) are in another directory,
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# add these directories to sys.path here. If the directory is relative to the
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# documentation root, use os.path.abspath to make it absolute, like shown here.
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#
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import os
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import sys
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import sphinx_rtd_theme
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sys.path.insert(0, os.path.abspath('../src'))
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# -- Project information -----------------------------------------------------
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project = 'KyuPy'
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copyright = '2020, Stefan Holst'
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author = 'Stefan Holst'
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# The full version, including alpha/beta/rc tags
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release = '0.0.2'
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# -- General configuration ---------------------------------------------------
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# Add any Sphinx extension module names here, as strings. They can be
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# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom
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# ones.
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extensions = [
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'sphinx.ext.autodoc',
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'sphinx_rtd_theme',
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]
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# Add any paths that contain templates here, relative to this directory.
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templates_path = ['_templates']
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# List of patterns, relative to source directory, that match files and
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# directories to ignore when looking for source files.
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# This pattern also affects html_static_path and html_extra_path.
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exclude_patterns = ['_build', 'Thumbs.db', '.DS_Store']
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# -- Options for HTML output -------------------------------------------------
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# The theme to use for HTML and HTML Help pages. See the documentation for
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# a list of builtin themes.
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#
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# html_theme = 'alabaster'
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html_theme = 'sphinx_rtd_theme'
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# Add any paths that contain custom static files (such as style sheets) here,
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# relative to this directory. They are copied after the builtin static files,
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# so a file named "default.css" will overwrite the builtin "default.css".
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html_static_path = ['_static']
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autodoc_default_options = {
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'member-order': 'bysource',
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}
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Core Data Structures
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====================
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KyuPy provides two types of core data structures, one for gate-level circuits, and a few others for representing and storing logic data and signal values.
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The data structures are designed to work together nicely with numpy arrays.
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For example, all the nodes and connections in the circuit graph have numerical indices that can be used to access ndarrays with associated data.
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Circuit graphs also define an ordering of inputs, outputs and other nodes to easily process test vector data and alike.
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Module :mod:`kyupy.circuit`
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---------------------------
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.. automodule:: kyupy.circuit
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.. autoclass:: kyupy.circuit.Node
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:members:
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.. autoclass:: kyupy.circuit.Circuit
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:members:
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Logic Values and Arrays
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-----------------------
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.. automodule:: kyupy.logic
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.. autoclass:: kyupy.logic.MVArray
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:members:
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.. autoclass:: kyupy.logic.BPArray
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:members:
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.. include:: ../README.rst
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API Reference
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-------------
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.. toctree::
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:maxdepth: 2
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datastructures
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parsers
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simulators
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Parsers
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=======
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bench
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verilog
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SDF
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STIL
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Simulators
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==========
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Logic Sim
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Wave Sim
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from setuptools import setup, find_packages
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with open('README.md', 'r') as f:
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with open('README.rst', 'r') as f:
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long_description = f.read()
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setup(
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name='kyupy',
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version='0.0.1',
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version='0.0.2',
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description='High-performance processing and analysis of non-hierarchical VLSI designs',
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long_description=long_description,
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long_description_content_type='text/markdown',
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packages=find_packages(where='src'),
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package_dir={'': 'src'},
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url='https://github.com/s-holst/kyupy',
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+49
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"""Data structures for representing non-hierarchical gate-level circuits.
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The class :class:`Circuit` is a container of nodes connected by lines.
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A node is an instance of class :class:`Node`,
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and a line is an instance of class :class:`Line`.
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"""
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from collections import deque
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@@ -19,36 +26,51 @@ class IndexList(list):
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class Node:
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"""A Node is a named entity in a circuit (e.g. a gate, a standard cell,
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a named signal, or a fan-out point) that has connections to other nodes.
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Each node contains:
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"""A named entity in a circuit (e.g. a gate, a standard cell,
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a named signal, or a fan-out point) that is connected to other nodes via lines.
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* `self.index`: a circuit-unique integer index.
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* `self.kind`: a type describing its function (e.g. 'AND', 'NOR').
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The type '__fork__' is special. It signifies a named signal
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or a fan-out in the circuit. Any other type is considered a physical cell.
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* `self.name`: a name. Names must be unique among all forks and all cells
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in the circuit. However, a fork (`self.kind=='__fork__'`) and a cell with
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the same name may coexist.
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* `self.ins`: a list of input connections (objects of class `Line`)
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* `self.outs`: a list of output connections (objects of class `Line`).
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The constructor automatically adds the new node to the given circuit.
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"""
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def __init__(self, circuit, name, kind='__fork__'):
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if kind == '__fork__':
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if name in circuit.forks:
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raise ValueError(f'fork of name {name} already exists.')
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assert name not in circuit.forks, f'fork of name {name} already in circuit.'
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circuit.forks[name] = self
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else:
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if name in circuit.cells:
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raise ValueError(f'cell of name {name} already exists.')
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assert name not in circuit.cells, f'cell of name {name} already in circuit.'
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circuit.cells[name] = self
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self.index = len(circuit.nodes)
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circuit.nodes.append(self)
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self.circuit = circuit
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"""The :class:`Circuit` object the node is part of.
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"""
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self.name = name
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"""The name of the node.
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Names must be unique among all forks and all cells in the circuit.
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However, a fork (:code:`kind=='__fork__'`) and a cell with the same name may coexist.
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"""
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self.kind = kind
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"""A string describing the type of the node.
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Common types are the names from a standard cell library or general gate names like 'AND' or 'NOR'.
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If :code:`kind` is set to '__fork__', it receives special treatment.
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A `fork` describes a named signal or a fan-out point in the circuit and not a physical `cell` like a gate.
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In the circuit, the namespaces of forks and cells are kept separate.
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While :code:`name` must be unique among all forks and all cells, a fork can have the same name as a cell.
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The :code:`index`, however, is unique among all nodes; a fork cannot have the same index as a cell.
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"""
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self.index = len(circuit.nodes) - 1
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"""A unique and consecutive integer index of the node within the circuit.
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It can be used to store additional data about the node :code:`n`
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by allocating an array or list :code:`my_data` of length :code:`len(n.circuit.nodes)` and
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accessing it by :code:`my_data[n.index]`.
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"""
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self.ins = GrowingList()
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"""A list of input connections (:class:`Line` objects).
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"""
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self.outs = GrowingList()
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"""A list of output connections (:class:`Line` objects).
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"""
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def __repr__(self):
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ins = ' '.join([f'<{line.index}' if line is not None else '<None' for line in self.ins])
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@@ -56,6 +78,13 @@ class Node:
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return f'{self.index}:{self.kind}"{self.name}" {ins} {outs}'
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def remove(self):
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"""Removes the node from its circuit.
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Lines may still reference the removed node.
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The user must connect such lines to other nodes or remove the lines from the circuit.
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To keep the indices consecutive, the node with the highest index within the circuit
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will be assigned the index of the removed node.
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"""
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if self.circuit is not None:
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del self.circuit.nodes[self.index]
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if self.kind == '__fork__':
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@@ -66,8 +95,9 @@ class Node:
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class Line:
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"""A Line is a directional 1:1 connection between two Nodes. It always
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connects an output of a node (called `driver`) to an input of a node
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"""A directional 1:1 connection between two nodes.
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It always connects an output of a node (called `driver`) to an input of a node
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(called `reader`) and has a circuit-unique index (`self.index`).
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Furthermore, `self.driver_pin` and `self.reader_pin` are the
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