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b4e603ab7c
* We now trace variables in trace collection as a dictionary per variable with a dictionary of the versions, this is closer to out frequent usage per variable. * That makes it a lot easier to update variables after the tracing is finished to know their users and writers. * Requires a lot less work, but also makes work less memory local such that the performance gain is relatively small despite less work being done. * Also avoids that a set for the users is to be maintained.
97 lines
2.8 KiB
Python
97 lines
2.8 KiB
Python
# Copyright 2025, Kay Hayen, mailto:kay.hayen@gmail.com find license text at end of file
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""" Internal module
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This is a container for helper functions that are shared across modules. It
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may not exist, and is treated specially in code generation. This avoids to
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own these functions to a random module.
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TODO: Clarify by renaming that the top module is now used, and these are
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merely helpers to do it.
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"""
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from nuitka.ModuleRegistry import getRootTopModule
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from nuitka.nodes.FunctionNodes import (
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ExpressionFunctionPureBody,
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ExpressionFunctionPureInlineConstBody,
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)
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from nuitka.SourceCodeReferences import makeSourceReferenceFromFilename
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internal_source_ref = makeSourceReferenceFromFilename("internal").atInternal()
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def once_decorator(func):
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"""Cache result of a function call without arguments.
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Used for all internal function accesses to become a singleton.
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Note: This doesn't much specific anymore, but we are not having
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this often enough to warrant reuse or generalization.
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"""
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func.cached_value = None
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def replacement():
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if func.cached_value is None:
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func.cached_value = func()
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return func.cached_value
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return replacement
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def getInternalModule():
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"""Get the singleton internal module."""
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return getRootTopModule()
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_internal_helper_names = set()
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def makeInternalHelperFunctionBody(name, parameters, inline_const_args=False):
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# Make sure names of helpers are unique, the code names we choose require
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# that to be true.
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assert name not in _internal_helper_names
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_internal_helper_names.add(name)
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if inline_const_args:
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node_class = ExpressionFunctionPureInlineConstBody
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else:
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node_class = ExpressionFunctionPureBody
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result = node_class(
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provider=getInternalModule(),
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name=name,
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code_object=None,
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doc=None,
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parameters=parameters,
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flags=None,
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auto_release=None,
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code_prefix="helper_function",
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source_ref=internal_source_ref,
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)
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for variable in parameters.getAllVariables():
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result.removeVariableReleases(variable)
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return result
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# Part of "Nuitka", an optimizing Python compiler that is compatible and
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# integrates with CPython, but also works on its own.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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