environment.yml

name: mpasdiag
channels:
  - conda-forge
  - defaults
dependencies:
  # Core Python
  - python>=3.8
  
  # Scientific computing core
  - numpy>=1.20.0
  - scipy>=1.7.0
  - pandas>=1.3.0
  
  # Data handling and I/O
  - xarray>=0.19.0
  - netcdf4>=1.5.0
  - h5netcdf>=1.0.0
  - dask>=2021.6.0
  - xesmf>=0.6.0
  
  # Visualization
  - matplotlib>=3.5.0
  - cartopy>=0.20.0
  - metpy>=1.4.0
  
  # High-performance computing
  - numba>=0.55.0
  - llvmlite>=0.38.0
  
  # Parallel processing
  - mpi4py>=3.1.0
  
  # Unstructured mesh support
  - uxarray>=2024.01.0
  
  # Configuration and utilities
  - pyyaml>=5.4.0
  - psutil>=5.8.0
  
  # Development and testing (optional, can be moved to separate env)
  - pytest>=6.0
  - pytest-cov>=2.10
  - pytest-xdist>=2.5.0
  - pytest-mock>=3.6.0
  - pluggy>=1.0.0
  - coverage>=6.0
  - execnet>=1.9.0
  
  # Code quality tools (optional)
  - black>=21.0
  - flake8>=3.8
  - mypy>=0.800
  
  # Documentation (optional)
  - sphinx>=4.0
  - sphinx-rtd-theme>=0.5
  
  # Optional performance enhancements
  - bottleneck>=1.3.0
  
  # Optional plotting enhancements
  - seaborn>=0.11.0
  - plotly>=5.0.0
  
  # Install package in development mode
  - pip
  - pip:
    - -e .