conda_build_config.yaml

# overriding conda-forge-pinnings defined in
# https://github.com/conda-forge/conda-forge-pinning-feedstock/blob/master/recipe/conda_build_config.yaml

# clangxx isn't standalone on linux, it depends on gcc
# Isuru from conda-forge reccomended explicitly adding clangxx
# but we could also add a clang_linux-64 metapackage so that
# clang could be listed in the compiler matrix
# https://gitter.im/conda-forge/conda-forge.github.io?at=5e5feaf7ec7f8746aab200c4
# is Isuru's reply to my question in:
# https://gitter.im/conda-forge/conda-forge.github.io?at=5e5f4ae2376d882250cd5d5c
# # conda-forge uses gcc on linux and clang on osx
# # we're only supporting clang on both platforms
# c_compiler:
#     - clang
# c_compiler_version:
#     - 9
# cxx_compiler:
#     - clangxx
# cxx_compiler_version:
#     - 9

# override macos APK min version.
# conda-forge supports from 10.9 but we
# have code that needs 10.13.
macos_machine:                 # [osx]
  - arm64-apple-darwin20.0.0   # [osx and arm64]
MACOSX_DEPLOYMENT_TARGET:      # [osx]
  - 14.5                         # [osx]

# linux_clang_version is not a part of zip_keys
# from conda-forge, if you want to, you can
# easily matrix the linux builds using the same
# backend from gcc but adding new clang versions
# here
linux_clang_version:           # [linux]
  - 15                         # [linux]
#  - 11                         # [linux]

# limit ourselves to a single python version
# since numpy and python_impl are zipped with it, we
# must also override those to a single value
numpy:
    - 1.21
python:
    - 3.10.* *_cpython
python_impl:
    - cpython

boost:
    - 1.78

# The remainder of the file is an example of how you can
# specify multiple versions of compilers for each platform
#
# You have to be aware of everything that conda-forge puts
# into it's zip_keys configuration and make sure that you
# provide lists of the same size for all of the dimensions
# that are zipped on all platforms.
# c_compiler:
#   - gcc                        # [linux]
#   - clang                      # [osx]
# c_compiler_version:            # [unix]
#   - 13                         # [osx]
#   - 11                         # [osx]
#   - 11                         # [linux]
#   - 10                         # [linux]
# cxx_compiler:
#   - gxx                        # [linux]
#   - clangxx                    # [osx]
# cxx_compiler_version:          # [unix]
#   - 13                         # [osx]
#   - 11                         # [osx]
#   - 11                         # [linux]
#   - 10                         # [linux]
# # cf uses gfortran on both linux and osx
# # so we just need to provide two versions
# # so that the zip_keys will work and since
# # we don't use fortran, it doesn't matter
# # but I make the versions match gcc,g++ so
# # to be less confusing
# fortran_compiler_version:
#   - 11
#   - 10
# docker_image:
#   - quay.io/condaforge/linux-anvil-cos7-x86_64
#   - quay.io/condaforge/linux-anvil-cos7-x86_64
# cdt_name:
#   - cos6
#   - cos6
#

# conda-forge-pinnings-feedstock/recipe/conda_build_config.yaml
# uses c_compiler_version and cxx_compiler_version in a zip_keys
# https://docs.conda.io/projects/conda-build/en/latest/resources/variants.html#coupling-keys
# They typically only have a single version of the compilers that they
# are building packages with at a time.  However, we want to regress
# across a few.  That means we need to balance the size of the
# elements of the zip_keys.  I'm going to override those here
# as well so that it is easier to see what we're doing.
# I dropped the cuda stuff out of conda-forge zip_keys because
# we don't care about CUDA as we aren't using it.
#
# I guess you can't override zip_keys, you can only add combinations to the
# list and keys can only be in one, so, we have to constrain fortran to be
# a matrix as well even though we don't use it.
#
# If we really want to define our own zip_keys, we can rerender with
# conda smithy rerender --exclusive-config <path to this file>
#
# and conda-smithy should just use our configuration
#
#zip_keys:
#    -
#        - c_compiler_version
#        - cxx_compiler_version
#        - linux_clang_version  # [linux]
#        - cdt_name      # [linux]
#        - docker_image  # [linux]
#    -
#        - python
#        - numpy
#        - python_impl