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This change introduces a Python wrapper for the `sampler` command-line tool, allowing users to define and run `sampler` configurations programmatically. Key features: - Pydantic models for all `sampler` components, providing a structured and type-safe way to create configurations. - A `run_sampler` tool that takes a `SamplerConfig` object, generates a temporary YAML file, and executes the `sampler` binary. - Unit tests to ensure the wrapper function calls the `sampler` binary with the correct arguments.
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feat: Add Python wrapper for the sampler tool This change introduces a Python wrapper for the Key features:
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feat: Add Python wrapper for the sampler tool
This change introduces a Python wrapper for the
samplercommand-line tool, allowing users to define and runsamplerconfigurations programmatically.Key features:
samplercomponents, providing a structured and type-safe way to create configurations.run_samplertool that takes aSamplerConfigobject, generates a temporary YAML file, and executes thesamplerbinary.samplerbinary with the correct arguments.