pixell 0.5.3

pixell

pixell

This is an early development repository for a CMB map analysis library. The API for core modules will likely remain the same as in amaurea/enlib, but module and repository names are very likely to change!

• Free software: BSD license

• Documentation: https://pixell.readthedocs.io.

• Tutorial

Dependencies

• Python>=2.7 or Python>=3.4

• gcc/gfortran or Intel compilers (clang might not work out of the box)

• libsharp (downloaded and installed)

• automake (for libsharp compilation)

• healpy, Cython, astropy, numpy, scipy, matplotlib, pyyaml, h5py, Pillow (Python Image Library)

Installing

To install, run:

$ python setup.py install --user

Existing libsharp installation

You can use an existing libsharp installation by symlinking the libsharp directory into a directory called _deps in the root directory.

Intel compilers

Intel compilers might require a two step installation as follows

$ python setup.py build_ext -i --fcompiler=intelem --compiler=intelem
$ python setup.py install --user

Development workflow (recommended)

If you are a developer, run:

$ python setup.py build_ext -i

and add the cloned directory to your Python path so that changes you make in any python file are immediately reflected. e.g., in your .bashrc file,

export PYTHONPATH=$PYTHONPATH:/path/to/cloned/pixell/directory

If you also need non-Python code to be recompiled, run:

$ python setup.py clean

before the above steps.

Contributing

If you have write access to this repository, please:

1. create a new branch

2. push your changes to that branch

3. merge or rebase to get in sync with master

4. submit a pull request on github

If you do not have write access, create a fork of this repository and proceed as described above. For more details, see Contributing.

History

0.1.0 (2018-06-15)

• First release on PyPI.

0.5.2 (2019-01-22)

• API for most modules is close to converged

• Significant number of bug fixes and new features

• Versioning system implemented through versioneer and bumpversion

• Automated pixel level tests for discovering effects of low-level changes