scripts/build_dist.sh: sdist + pure wheel + manylinux_2_28 kernel wheels (maturin --zig,
both architectures). Dockerfile (multi-stage, kernels included, non-root user).
packaging/conda/{simurg,simurg-core}. scripts/p10/digest.py: platform-independent content
digests of GTC/VCF/summary outputs. Cloud task p10 installs the artifacts on a fresh
Ubuntu VM and runs the tutorial with pip, Docker and conda installs. trial.sh picks the
arm64/amd64 image from the instance type and can run instances in parallel (PARALLEL=1).
Licence files ship in both wheels; Rust crate notices added.
41 lines
989 B
YAML
41 lines
989 B
YAML
# conda recipe for the optional compiled kernels of SimurgArray (Rust, PyO3; abi3 for Python >= 3.12).
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# conda build packaging/conda/simurg-core -c conda-forge
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{% set version = load_file_regex(load_file="Cargo.toml", regex_pattern='version = "([^"]+)"', from_recipe_dir=False).group(1) %}
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package:
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name: simurg-core
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version: {{ version }}
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source:
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path: ../../../rust/simurg-core
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build:
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number: 0
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skip: true # [win]
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script: {{ PYTHON }} -m pip install . --no-deps -vv
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requirements:
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build:
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- {{ compiler('c') }}
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- {{ compiler('rust') }}
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host:
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- python >=3.12
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- pip
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- maturin >=1.7,<2
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run:
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- python >=3.12
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- numpy >=1.26
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test:
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imports:
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- simurg_core
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commands:
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- python -c "import simurg_core, numpy as np; assert simurg_core.log10(np.array([0.0]))[0] == -np.inf"
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about:
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summary: Optional compiled kernels of SimurgArray (results identical to the pure-Python paths)
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license: MIT
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license_file:
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- LICENSE
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- NOTICE
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