The _py_backend was a custom setuptools build backend wrapper used
with the old setup.py build system. It's no longer needed with
scikit-build-core.
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Co-Authored-By: Claude <noreply@anthropic.com>
Removed SETUP_PY_ARGS since cmake options are no longer passed via
setup.py arguments. The new build system uses CMake directly via
scikit-build-core. Also fixed typo and updated install_root path.
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Co-Authored-By: Claude <noreply@anthropic.com>
Changes:
- Updated documentation to show modern pip-based installation
- Updated manylinux build script to use pip wheel instead of setup.py
- Updated conda metadata generator to use pip install
- Removed deprecated PyPI preparation script (replaced by `python -m build --sdist`)
All build infrastructure now uses the new scikit-build-core build system.
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Co-Authored-By: Claude <noreply@anthropic.com>
This commit adds the missing build-time steps from setup.py:
- Header generation from JSON files (generate_headers.py)
- Cython constants module generation (generate_constants_module.py)
- Copying headers, fmtlib, and BibTeX file to package directory
Also updates .gitignore to ignore:
- wrappers/Python/CoolProp/include/ (generated during build)
- wrappers/Python/CoolProp/CoolPropBibTeXLibrary.bib (copied during build)
Includes test script to verify wheel contents match between old and new build approaches.
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Co-Authored-By: Claude <noreply@anthropic.com>
This commit replaces the old setuptools-based build system with a modern
scikit-build-core + CMake build system for the Python bindings.
Key changes:
- Replace setup.py with pyproject.toml using scikit-build-core backend
- Create new CMakeLists.txt for Cython module compilation
- Add FindCython.cmake helper module
- Update README from .rst to .md format
- Enable incremental builds with proper CMake dependency tracking
- Support Python 3.8-3.14 with proper Cython directives
Benefits:
- Incremental builds work correctly (only rebuild changed files)
- Modern PEP 517/518 compliant build system
- Build artifacts cached in build/{wheel_tag} directories
- Better integration with pip and modern Python tooling
- No more need for custom _py_backend build hooks
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Co-Authored-By: Claude <noreply@anthropic.com>
* Add Windows Instructions and example
I added how to use the wrapper for Windows through the shared library. There might be a better way using the static library, but I believe this method works for 99% of use cases.
* Update Windows setup instructions in Fluent README
Clarified and expanded the step-by-step instructions for setting up CoolProp with Fluent on Windows. Added details about launching Fluent, using absolute paths, and using '//' in paths. Improved clarity and fixed minor typos.
* Update Windows instructions in Fluent wrapper README
Added clarification about limitations of using the shared library method and recommended using a static library for more robust results. Minor formatting and wording improvements were also made to the step-by-step instructions.
* Add ability to get at the ideal-gas properties directly
Also through the python interface
* And python interface files
* Fixes the missing reference to ideal gas notebook
Use regex with negative lookbehind to avoid splitting names like '1,2-dichloroethane'
into separate aliases. This fixes the issue where chemical names containing
numbers and commas were being incorrectly split.
* Expansions are fully wrapped, looking good. Next step is the set of expansions that is the 1D approximation
* Get 1D approx working via cython
* Count solutions
* SuperAncillary class is working
>1000x speedup for water
Time for C++!
* Superancillaries are working!
In C++, speedup is more than 2000x. In Python, more like 150x because of Python <-> C++ overhead
* Add pmax check for PQ superancillary calls
* Update tests
* Allow T limits to be obtained
* Implement get_fluid_parameter_double for getting superanc value
* Add tests for getting parameters from superanc
* Script for testing superancillaries for sphinx
* Microoptimizations; don't help speed
The limiting factor remains the clear function, which takes about 30 ns
* Add R125 superancillary
* Use the release from fastchebpure for the files
* Drop a .gitignore in the unzipped folder
* Update superancillary injection script
* Turn on superancillaries by default
* Missing header
* Many int conversions in superancillary
* Another int cast
* More annoying solution for boost iter max
* Fix warnings
* One more warning
* Clear up the calculation of rho
* Update docs_docker-build.yml
Use arm64 since the containers were built on mac
* Superfluous ;
* Update backend.py
* Get the critical points working for superancillaries
* Fix wrapping changes of xmin&xmax methods
* squelch warnings
* Version 0 of jupyter notebook for docs
* Try to add the notebook to the docs
* Add jupyter notebook for superancillary
* Lots of updates to superancillary notebook
* More updates to docs
* Skip pseudo-pure for superancillary docs
* Fix output of superancillary figures
* Add superancillary plots to docs for the page for each fluid
* Make a placeholder figure for fluids without superancillary
* Add superancillary plots to task list
* Bump to release fixing m-xylene
* Relax the location of the REFPROP stuff
* Change default name for R-1336mzz(E)
* No need for figures to be so large
* Don't need REFPROP setting
* Bump to fastchebpure release with methanol
* Benchmark caching options
* Benchmark more granularly
* Add the fast methods to public API for HEOS class
* Back to memset - can memset with 0 but no other value
* Fix how caching is managed in Helmholtz class
* Close to final implementation
Perhaps a tiny bit more optimization possible?
* Update function name
* Make message more accurate
* Fix init order
* Expose update_QT_pure_superanc to Python
* Fix when _reducing is set for pures
* Fix the post_update
* Indent
* Notebook
* Notebook
* Make ln(p) construction lazy
Only really matters for debug builds
* Also make reference non-const
* Inject superancillary for methanol
* Make the superancillary loading entirely lazy in debug
* Fix PH bug for Nitrogen
Closes#2470
* Force the clear to be called on SatL and SatV
To invalidate them at start
* Default is non-lazy superancillary loading
* Add CMake option to have lazy-loading superancillaries [skip ci]
Not a good idea unless doing very narrow testing
* Ignore depcache files [skip ci]
* Z lib compress the fluid data
And migrate to newer version of miniz
* Add the writing of the .z file
* This works on MSVC, not sure about any other platform
How does one inform the linker about what locations to search for this file?
* Does this give the necessary linking info to the compiler?
* Include the header only for MSVC
* The incbin is still needed for non-windows
* Missing headers for Python
* Add miniz source file
* Missing import
* Provide a solution for compilers that don't support assembly to embed files
* Don't specify standard since we have mixed C/C++
https://stackoverflow.com/questions/49000674/cython-std-c11-error-using-both-c-and-c
* rename miniz to cpp
* And cmake
* Back to .c again
Not sure what to do about Python now
* Build the C library and then link it in
* FIx cmake too
* Location for .z file
* arg to setup function
* Check for z file [skip ci]
* Force build temp to be here
* Try switching to setuptools version
* Force the build_temp to be build before clib construction begins
That was subtle...
Test whether renaming the project in setup.py is enough. Does not impact the package name (CoolProp) that is included in the wheel so user code should not change
* Add PTC Libs and Terms of Use to wrappers/Mathcad
* Convert Mathcad README files from RST to MD
* Run Mathcad workflow with local Repo Files
* Allow Mathcad workflow to be called by other workflows
When i tried to plot log(p)-h-diagrams there always had been an issue in the common.py file in line 481. By deleting the "Isoline, self" between the () of super in this line i could fix this an the plots were generated. So i made this pull request.
* Update setup.py replace distutils with setuptools
PEP 632 – Deprecate distutils module.
Edit line 4-6:
from distutils.version import LooseVersion
from distutils.sysconfig import get_config_var
from setuptools.command.build_ext import build_ext
To
from packaging.version import Version
from sysconfig import get_config_var
from setuptools.command.build_ext import build_ext
Edit line 291:
cython_version = Version (Cython.__version__)
To
cython_version = str(Version (Cython.__version__))
Edit line 353:
from distutils.errors import CompileError
To
from setuptools import CompileError
Edit line 394:
from Cython.Distutils.extension import Extension
To
from setuptools.extension import Extension
Delete line 396:
from Cython.Distutils import build_ext
This is now handled with line 6 and thus redundant
from setuptools.command.build_ext import build_ext
Edit line 3, 60, 61 62, 66, 77, 229, and 291
Replace all instances of LooseVersion with Version
* Update python_buildwheels.yml
* Update python_cibuildwheel.yml
* Update setup.py
* Update setup.py
* Update setup.py
* Update python_buildwheels.yml
Added module packaging to the list of dependencies.
* Update python_cibuildwheel.yml
Updated cibuildwheel version form 2.17.0 to latest edition 2.21.3 for python 3.13 support.
* Update python_buildwheels.yml
Deleted lines with python specific exclusions for Windows ARM64 as it already excluded generically.
* Update python_buildwheels.yml
Deleted lines with python specific exclusions for MacOS as these are no longer supported.
* Fix build of LibreOffice wrapper for LibreOffice SDK >= 7.5
In the LibreOffice SDK version 7.4 the "idlc" and "regmerge" tools were
deprecated and replaced by the new UNOIDL compiler "unoidl-write". The
old tools have been removed from version 7.5 onwards. Thus, the build
process is changed to use the new compiler.
- The new binary type libary format produced by "unoidl-write" has
already been used internally since LibreOffice 4.1 in 2013, so that
extensions built with the new compiler will also run on older office
versions. The minimal LibreOffice version for the extension is
therefore changed to 4.1
- With the "unoidl-write" compiler some API changes were introduced.
Identifiers containing underscores must start with an uppercase
letter, as identifiers with underscores and starting with a lowercase
letter are reserved for internal purposes. Thus, the naming of some
functions used in the extension is changed.
* Enable install of CoolProp python package dev versions
If the LibreOffice extension was built for a development version, then
it should also download the appropriate development version of the
CoolProp python package.
* Add a builder for LibreOffice wrapper
* Add LibreOffice builder to release workflow
