Creating and Verifying a Reproducible Spack Environment
Step‑by‑step guide to create a named Spack environment, install packages, generate module files, and confirm that the exact concretization is captured in spack.lock.
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Step‑by‑step guide to create a named Spack environment, install packages, generate module files, and confirm that the exact concretization is captured in spack.lock.
Context Conda environments are exported to environment.yml files to enable reproduction across machines. The export includes package names, versions, and channel sources, but omits the build-string identifiers (e.g., py39h123456_1 ) that encode compiler toolchain, ABI flags, and optional feature toggles. Goal Determine whether a portable export should embed
Conda 4.6+ wraps each install, update, and remove operation in a transaction that rolls back on failure, and conda install --revision N can revert an environment to a recorded revision. Pip, however, maintains its own installation database, and packages added with pip install inside a conda environment are not recorded in conda history . The goal is to desig
Environment State Consistency Spack utilizes spack env load to revert environments to previous states based on history tracking in history.json . While this mechanism manages package versions and dependencies, it operates independently of the underlying package configuration schemas used to define build specifications. Schema Migration Constraints When a sch