Conda: mac-arm builds of legacy dolfin and development version available

Thanks for the reply @dokken! :+1:
The legacy dolfin 2019.2.0.dev (Python 3.12.7) environment is built with the command

~$ conda create -n dolfin-2019.2.0.dev -c conda-forge -c conda-forge/label/fenics-dev fenics-dolfin mpich
~$ conda install -c conda-forge https://conda.anaconda.org/conda-forge/label/fenics-dev/linux-64/fenics-dolfin-2019.2.0.dev20240219-py39hfa0d945_0.conda

I extracted the conda environment I built now, and it looks like below.

name: dolfin-2019.2.0.dev
channels:
  - conda-forge/label/fenics-dev
  - conda-forge
  - https://repo.anaconda.com/pkgs/main
  - https://repo.anaconda.com/pkgs/r
dependencies:
  - _libgcc_mutex=0.1=conda_forge
  - _openmp_mutex=4.5=2_gnu
  - binutils_impl_linux-64=2.43=h4bf12b8_2
  - binutils_linux-64=2.43=h4852527_2
  - bzip2=1.0.8=h4bc722e_7
  - c-ares=1.34.2=heb4867d_0
  - ca-certificates=2024.8.30=hbcca054_0
  - cpython=3.12.7=py312hd8ed1ab_0
  - eigen=3.4.0=h00ab1b0_0
  - fenics-dijitso=2019.1.0=pyhd8ed1ab_39
  - fenics-dolfin=2019.2.0.dev20240219=py39hfa0d945_0
  - fenics-ffc=2019.1.0=pyhd8ed1ab_39
  - fenics-fiat=2019.1.0=pyhd8ed1ab_39
  - fenics-libdolfin=2019.1.0=h1cfe99e_49
  - fenics-ufl=2019.1.0=pyhd8ed1ab_16
  - fftw=3.3.10=mpi_mpich_hbcf76dd_10
  - gcc=13.3.0=h9576a4e_1
  - gcc_impl_linux-64=13.3.0=hfea6d02_1
  - gcc_linux-64=13.3.0=hc28eda2_5
  - gmp=6.3.0=hac33072_2
  - gmpy2=2.1.5=py312h7201bc8_2
  - gxx=13.3.0=h9576a4e_1
  - gxx_impl_linux-64=13.3.0=hdbfa832_1
  - gxx_linux-64=13.3.0=h6834431_5
  - hdf5=1.14.3=mpi_mpich_h0f54ddc_5
  - hypre=2.31.0=mpi_mpich_hd1da18f_1
  - icu=75.1=he02047a_0
  - kernel-headers_linux-64=3.10.0=he073ed8_18
  - keyutils=1.6.1=h166bdaf_0
  - krb5=1.21.3=h659f571_0
  - ld_impl_linux-64=2.43=h712a8e2_2
  - libaec=1.1.3=h59595ed_0
  - libblas=3.9.0=25_linux64_openblas
  - libboost=1.84.0=hb8260a3_6
  - libboost-headers=1.86.0=ha770c72_2
  - libcblas=3.9.0=25_linux64_openblas
  - libcurl=8.10.1=hbbe4b11_0
  - libedit=3.1.20191231=he28a2e2_2
  - libev=4.33=hd590300_2
  - libexpat=2.6.4=h5888daf_0
  - libffi=3.4.2=h7f98852_5
  - libgcc=14.2.0=h77fa898_1
  - libgcc-devel_linux-64=13.3.0=h84ea5a7_101
  - libgcc-ng=14.2.0=h69a702a_1
  - libgfortran=14.2.0=h69a702a_1
  - libgfortran-ng=14.2.0=h69a702a_1
  - libgfortran5=14.2.0=hd5240d6_1
  - libgomp=14.2.0=h77fa898_1
  - libhwloc=2.11.2=default_he43201b_1000
  - libiconv=1.17=hd590300_2
  - liblapack=3.9.0=25_linux64_openblas
  - libnghttp2=1.64.0=h161d5f1_0
  - libnsl=2.0.1=hd590300_0
  - libopenblas=0.3.28=pthreads_h94d23a6_1
  - libptscotch=7.0.4=h2376d02_5
  - libsanitizer=13.3.0=heb74ff8_1
  - libscotch=7.0.4=h3055ed5_5
  - libsqlite=3.47.0=hadc24fc_1
  - libssh2=1.11.0=h0841786_0
  - libstdcxx=14.2.0=hc0a3c3a_1
  - libstdcxx-devel_linux-64=13.3.0=h84ea5a7_101
  - libstdcxx-ng=14.2.0=h4852527_1
  - libuuid=2.38.1=h0b41bf4_0
  - libxcrypt=4.4.36=hd590300_1
  - libxml2=2.13.4=hb346dea_2
  - libzlib=1.3.1=hb9d3cd8_2
  - metis=5.1.0=hd0bcaf9_1007
  - mpc=1.3.1=h24ddda3_1
  - mpfr=4.2.1=h90cbb55_3
  - mpi=1.0.1=mpich
  - mpi4py=4.0.1=py312h0a6c937_0
  - mpich=4.2.3=h670b19f_100
  - mpmath=1.3.0=pyhd8ed1ab_0
  - mumps-include=5.7.3=ha770c72_0
  - mumps-mpi=5.7.3=hd6ed86c_0
  - ncurses=6.5=he02047a_1
  - numpy=1.26.4=py312heda63a1_0
  - openssl=3.3.2=hb9d3cd8_0
  - parmetis=4.0.3=hc7bef4e_1007
  - petsc=3.21.5=real_hbe534a9_101
  - petsc4py=3.21.5=py312h23142ab_1
  - pip=24.3.1=pyh8b19718_0
  - pkg-config=0.29.2=h4bc722e_1009
  - pkgconfig=1.5.5=pyhd8ed1ab_4
  - pybind11=2.13.5=py312h68727a3_1
  - pybind11-global=2.13.5=py312h68727a3_1
  - python=3.12.7=hc5c86c4_0_cpython
  - python_abi=3.12=5_cp312
  - readline=8.2=h8228510_1
  - scalapack=2.2.0=h7e29ba8_4
  - setuptools=75.3.0=pyhd8ed1ab_0
  - six=1.16.0=pyh6c4a22f_0
  - slepc=3.21.2=real_h00a54ed_300
  - slepc4py=3.21.2=py312h7b22130_0
  - suitesparse=7.8.3=hb42a789_0
  - superlu=5.2.2=h00795ac_0
  - superlu_dist=9.0.0=h3feb4ed_1
  - sympy=1.13.3=pyh2585a3b_104
  - sysroot_linux-64=2.17=h4a8ded7_18
  - tbb=2022.0.0=hceb3a55_0
  - tk=8.6.13=noxft_h4845f30_101
  - tzdata=2024b=hc8b5060_0
  - wheel=0.44.0=pyhd8ed1ab_0
  - xz=5.2.6=h166bdaf_0
  - yaml=0.2.5=h7f98852_2
  - zlib=1.3.1=hb9d3cd8_2
  - zstd=1.5.6=ha6fb4c9_0
prefix: ~/miniconda3/envs/dolfin-2019.2.0.dev

When the first conda environment was created, the version of legacy dolfin was 2019.1.0.
I wonder if there is a problem with linking while executing the second command (updating to legacy dolfin 2019.2.0.dev)… I don’t know how to solve it.

P.S.) Actually, I wanted to run the code with additional constraints in legacy FEniCS.
I know I should probably use dolfinx_mpc (I’m studying because I don’t understand the concept very well. If you have any easy-to-understand study material, I’d love to hear about it.), but I wanted to make sure it would run on legacy FEniCS as well.

I mainly use the conda environment, so I didn’t proceed with a local legacy FEniCS installation with PPA added.
(I was worried about package conflicts between legacy FEniCS and FEniCSx each version :pleading_face:)