mirror of
https://github.com/jung-geun/PSO.git
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jung-geun
813433000a
Migrate the package and examples to the tensor-native PyTorch implementation, add benchmark evidence, and add the guarded post-training convergence protocol with TensorBoard progress monitoring and hash-verified recovery. Constraint: Preserve one-shot official-test sealing and auditable research artifacts Rejected: Commit local .omc runs and downloaded datasets | multi-gigabyte runtime state is machine-local Confidence: high Scope-risk: broad Not-tested: Production CUDA run on pieroot-server
23 lines
689 B
Python
23 lines
689 B
Python
from pathlib import Path
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import sys
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from importlib.metadata import PackageNotFoundError, version
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try:
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__version__ = version("pso2keras")
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except PackageNotFoundError:
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pyproject_path = Path(__file__).resolve().parent.parent / "pyproject.toml"
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if pyproject_path.exists():
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if sys.version_info >= (3, 11):
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import tomllib
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else:
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try:
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import tomllib # type: ignore
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except ImportError:
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import tomli as tomllib # type: ignore
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with pyproject_path.open("rb") as f:
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data = tomllib.load(f)
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__version__ = data["project"]["version"]
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else:
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__version__ = "0.0.0"
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