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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,142 @@ | ||
| # License: BSD 3 clause | ||
| """Utility methods to print system info for debugging. | ||
| adapted from | ||
| :func: `sklearn.show_versions` and `sktime.show_versions` | ||
| """ | ||
|
|
||
| __all__ = ["show_versions"] | ||
|
|
||
| import importlib | ||
| import platform | ||
| import sys | ||
|
|
||
|
|
||
| def _get_sys_info(): | ||
| """System information. | ||
| Return | ||
| ------ | ||
| sys_info : dict | ||
| system and Python version information | ||
| """ | ||
| python = sys.version.replace("\n", " ") | ||
|
|
||
| blob = [ | ||
| ("python", python), | ||
| ("executable", sys.executable), | ||
| ("machine", platform.platform()), | ||
| ] | ||
|
|
||
| return dict(blob) | ||
|
|
||
|
|
||
| # dependencies to print versions of, by default | ||
| DEFAULT_DEPS_TO_SHOW = [ | ||
| "pip", | ||
| "pytorch-forecasting", | ||
| "torch", | ||
| "lightning", | ||
| "numpy", | ||
| "scipy", | ||
| "pandas", | ||
| "cpflows", | ||
| "matplotlib", | ||
| "optuna", | ||
| "optuna-integration", | ||
| "pytorch_optimizer", | ||
| "scikit-learn", | ||
| "scikit-base", | ||
| "statsmodels", | ||
| ] | ||
|
|
||
|
|
||
| def _get_deps_info(deps=None, source="distributions"): | ||
| """Overview of the installed version of main dependencies. | ||
| Parameters | ||
| ---------- | ||
| deps : optional, list of strings with package names | ||
| if None, behaves as deps = ["sktime"]. | ||
| source : str, optional one of "distributions" (default) or "import" | ||
| source of version information | ||
| * "distributions" - uses importlib.distributions. In this case, | ||
| strings in deps are assumed to be PEP 440 package strings, | ||
| e.g., scikit-learn, not sklearn. | ||
| * "import" - uses the __version__ attribute of the module. | ||
| In this case, strings in deps are assumed to be import names, | ||
| e.g., sklearn, not scikit-learn. | ||
| Returns | ||
| ------- | ||
| deps_info: dict | ||
| version information on libraries in `deps` | ||
| keys are package names, import names if source is "import", | ||
| and PEP 440 package strings if source is "distributions"; | ||
| values are PEP 440 version strings | ||
| of the import as present in the current python environment | ||
| """ | ||
| if deps is None: | ||
| deps = ["pytorch-forecasting"] | ||
|
|
||
| if source == "distributions": | ||
| from pytorch_forecasting.utils._dependencies import _get_installed_packages | ||
|
|
||
| KEY_ALIAS = {"sklearn": "scikit-learn", "skbase": "scikit-base"} | ||
|
|
||
| pkgs = _get_installed_packages() | ||
|
|
||
| deps_info = {} | ||
| for modname in deps: | ||
| pkg_name = KEY_ALIAS.get(modname, modname) | ||
| deps_info[modname] = pkgs.get(pkg_name, None) | ||
|
|
||
| return deps_info | ||
|
|
||
| def get_version(module): | ||
| return getattr(module, "__version__", None) | ||
|
|
||
| deps_info = {} | ||
|
|
||
| for modname in deps: | ||
| try: | ||
| if modname in sys.modules: | ||
| mod = sys.modules[modname] | ||
| else: | ||
| mod = importlib.import_module(modname) | ||
| except ImportError: | ||
| deps_info[modname] = None | ||
| else: | ||
| ver = get_version(mod) | ||
| deps_info[modname] = ver | ||
|
|
||
| return deps_info | ||
|
|
||
|
|
||
| def show_versions(): | ||
| """Print python version, OS version, sktime version, selected dependency versions. | ||
| Pretty prints: | ||
| * python version of environment | ||
| * python executable location | ||
| * OS version | ||
| * list of import name and version number for selected python dependencies | ||
| Developer note: | ||
| Python version/executable and OS version are from `_get_sys_info` | ||
| Package versions are retrieved by `_get_deps_info` | ||
| Selected dependencies are as in the DEFAULT_DEPS_TO_SHOW variable | ||
| """ | ||
| sys_info = _get_sys_info() | ||
| deps_info = _get_deps_info(deps=DEFAULT_DEPS_TO_SHOW) | ||
|
|
||
| print("\nSystem:") # noqa: T001, T201 | ||
| for k, stat in sys_info.items(): | ||
| print(f"{k:>10}: {stat}") # noqa: T001, T201 | ||
|
|
||
| print("\nPython dependencies:") # noqa: T001, T201 | ||
| for k, stat in deps_info.items(): | ||
| print(f"{k:>13}: {stat}") # noqa: T001, T201 |
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