65 lines
1.6 KiB
Python
65 lines
1.6 KiB
Python
import weakref
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import importlib
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from numba import _dynfunc
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class Environment(_dynfunc.Environment):
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"""Stores globals and constant pyobjects for runtime.
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It is often needed to convert b/w nopython objects and pyobjects.
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"""
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__slots__ = ('env_name', '__weakref__')
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# A weak-value dictionary to store live environment with env_name as the
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# key.
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_memo = weakref.WeakValueDictionary()
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@classmethod
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def from_fndesc(cls, fndesc):
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try:
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# Avoid creating new Env
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return cls._memo[fndesc.env_name]
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except KeyError:
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inst = cls(fndesc.lookup_globals())
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inst.env_name = fndesc.env_name
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cls._memo[fndesc.env_name] = inst
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return inst
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def can_cache(self):
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is_dyn = '__name__' not in self.globals
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return not is_dyn
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def __reduce__(self):
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return _rebuild_env, (
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self.globals.get('__name__'),
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self.consts,
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self.env_name,
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)
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def __del__(self):
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return
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def __repr__(self):
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return f"<Environment {self.env_name!r} >"
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def _rebuild_env(modname, consts, env_name):
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env = lookup_environment(env_name)
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if env is not None:
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return env
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mod = importlib.import_module(modname)
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env = Environment(mod.__dict__)
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env.consts[:] = consts
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env.env_name = env_name
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# Cache loaded object
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Environment._memo[env_name] = env
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return env
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def lookup_environment(env_name):
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"""Returns the Environment object for the given name;
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or None if not found
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"""
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return Environment._memo.get(env_name)
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