Metadata-Version: 1.1
Name: gdstk
Version: 0.2.0
Summary: Python module for creation and manipulation of GDSII files.
Home-page: https://github.com/heitzmann/gdstk
Author: Lucas H. Gabrielli
Author-email: heitzmann@gmail.com
License: Boost Software License v1.0
Description: # GDSTK README
        
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        Gdstk (GDSII Tool Kit) is a C++ library for creation and manipulation of GDSII stream files.
        It is also available as a Python module meant to be a successor to [Gdspy](https://github.com/heitzmann/gdspy).
        
        Key features for the creation of complex CAD layouts are included:
        
        * Boolean operations on polygons (AND, OR, NOT, XOR) based on clipping algorithm
        * Polygon offset (inward and outward rescaling of polygons)
        * Efficient point-in-polygon solutions for large array sets
        
        Typical applications of Gdstk are in the fields of electronic chip design, planar lightwave circuit design, and mechanical engineering.
        
        
        ## Documentation
        
        The complete documentation is available [here](http://heitzmann.github.io/gdstk).
        
        The source files can be found in the _docs_ directory.
        
        
        ## Instalation
        
        ### Conda
        
        Windows users are suggested to install via [conda](https://www.anaconda.com/) using the available [conda-forge recipe](https://github.com/conda-forge/gdstk-feedstock). The recipe works on MacOS and Linux as well.
        
        
        ### From source
        
        The C++ library is meant to be used straight from source.
        The only requirement is that it must be linked against LAPACK.
        The included CMakeLists.txt file can be used as a guide.
        
        #### Dependencies for the Python wrapper
        
        * LAPACK
        * [CMake](https://cmake.org/)
        * [Python](https://www.python.org/)
        * [Numpy](https://numpy.org/)
        * [Sphinx](https://www.sphinx-doc.org/) and [rtd theme](https://sphinx-rtd-theme.readthedocs.io/) (to build the [documentation](http://heitzmann.github.io/gdstk))
        
        Installation from source should follow the usual method:
        
        ```sh
        python setup.py install
        ```
        
        
        ## Support
        
        Help support Gdstk development by [donating via PayPal](https://www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_button_id=JD2EUE2WPPBQQ)
        
        
        ## Benchmarks
        
        The _benchmarks_ directory contains a few tests to compare the performance gain of the Python interface versus Gdspy.
        They are only for reference; the real improvement is heavily dependent on the type of layout and features used.
        If maximal performance is important, the library should be used directly from C++, without the Python interface.
        
        Timing results were obtained with Python 3.8 on an Intel Core i7-3820 with 8 cores and 64 GB of RAM.
        They represent the best average time to run each function out of 16 sets of 8 runs each.
        
        | Benchmark        |   Gdspy 1.6.1    |   Gdstk 0.2.0    |   Gain   |
        | :--------------- | :--------------: | :--------------: | :------: |
        | 10k_rectangles   |      222 ms      |     6.67 ms      |   33.3   |
        | 1k_circles       |      572 ms      |      363 ms      |   1.57   |
        | boolean-offset   |      419 μs      |     60.7 μs      |   6.91   |
        | bounding_box     |      634 μs      |     11.2 μs      |   56.8   |
        | curves           |     3.02 ms      |     65.4 μs      |   46.1   |
        | flatten          |     1.01 ms      |     12.6 μs      |   79.8   |
        | flexpath         |     5.59 ms      |     25.2 μs      |   222    |
        | flexpath-param   |     7.34 ms      |     1.45 ms      |   5.08   |
        | fracture         |     1.71 ms      |      911 μs      |   1.88   |
        | inside           |     41.2 μs      |     11.6 μs      |   3.55   |
        | read_gds         |     7.03 ms      |      119 μs      |    59    |
        | read_rawcells    |      609 μs      |     58.5 μs      |   10.4   |
        | robustpath       |      386 μs      |     15.9 μs      |   24.3   |
        
        Memory usage per object for 100.000 objects using Python 3.8:
        
        | Object               |   Gdspy 1.6.1    |   Gdstk 0.2.0    | Reduction |
        | :------------------- | :--------------: | :--------------: | :-------: |
        | Rectangle            |      594 B       |      233 B       |    61%    |
        | Circle (r = 10)      |     1.67 kB      |     1.27 kB      |    24%    |
        | FlexPath segment     |     1.42 kB      |      441 B       |    70%    |
        | FlexPath arc         |     2.23 kB      |     1.49 kB      |    33%    |
        | RobustPath segment   |     2.78 kB      |      922 B       |    68%    |
        | RobustPath arc       |     2.58 kB      |      919 B       |    65%    |
        | Label                |      398 B       |      218 B       |    45%    |
        | Reference            |      159 B       |      180 B       |    -13%   |
        | Reference (array)    |      191 B       |      182 B       |     5%    |
        | Cell                 |      435 B       |      211 B       |    52%    |
        
Keywords: GDSII CAD layout
Platform: OS Independent
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Manufacturing
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Boost Software License 1.0 (BSL-1.0)
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: C++
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Topic :: Scientific/Engineering :: Electronic Design Automation (EDA)
Provides: gdstk
