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#1812 Add batching support for remove_deep2 for faster removals
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@@ -412,8 +412,35 @@ def remove_deep(ifc_file, element):
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def remove_deep2(ifc_file, element, also_consider=[], do_not_delete=[]):
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def remove_deep2(ifc_file, element, also_consider=[], do_not_delete=[]):
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# Experimental remove deep proposal. No batch for now until this is more certain. See #1812.
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"""
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# ifc_file.batch()
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Recursively purges a subgraph safely, starting at an element
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This should always be used instead of remove_deep. See #1812. The start
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element must have no inverses. The subgraph to be purged is calculated using
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all forward relationships determined by the traverse() function.
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The deletion process starts at element and traverses forward through the
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subgraph. Each subelement is checked for any inverses outside the subgraph.
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If there are no inverses outside, it may be safely purged. If there are
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inverses that aren't part of this subgraph, that subelement, and all of its
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subelements (i.e. that entire branch of subelements) will not be deleted as
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it is used elsewhere.
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For simple subgraphs, traverse() is sufficient to fully represent all
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related subelements. When it isn't, the ``also_consider`` argument may be
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used. These are typically inverses futher down the subelement chain.
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Note that remove_deep2 will _not_ remove elements in also_consider. Instead,
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it is only used as a consideration for whether or not an element has all
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inverses fully contained in the subgraph.
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The do_not_delete argument contains all elements that may be part of the
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subgraph but are protected from deletion.
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:param element: The starting element that defines the subgraph
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:type element: ifcopenshell.entity_instance.entity_instance
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"""
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ifc_file.batch()
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to_delete = set()
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to_delete = set()
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subgraph = list(ifc_file.traverse(element, breadth_first=True))
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subgraph = list(ifc_file.traverse(element, breadth_first=True))
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subgraph.extend(also_consider)
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subgraph.extend(also_consider)
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@@ -423,14 +450,15 @@ def remove_deep2(ifc_file, element, also_consider=[], do_not_delete=[]):
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subelement = subelement_queue.pop(0)
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subelement = subelement_queue.pop(0)
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if (
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if (
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subelement.id()
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subelement.id()
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and len(set(ifc_file.get_inverse(subelement)) - subgraph_set) == 0
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and subelement not in do_not_delete
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and subelement not in do_not_delete
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and len(set(ifc_file.get_inverse(subelement)) - subgraph_set) == 0
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):
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):
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to_delete.add(subelement)
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to_delete.add(subelement)
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subelement_queue.extend(ifc_file.traverse(subelement, max_levels=1)[1:])
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subelement_queue.extend(ifc_file.traverse(subelement, max_levels=1)[1:])
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for subelement in to_delete:
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# We delete elements from subgraph in reverse order to allow batching to work
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for subelement in filter(lambda e: e in to_delete, subgraph[::-1]):
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ifc_file.remove(subelement)
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ifc_file.remove(subelement)
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# ifc_file.unbatch()
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ifc_file.unbatch()
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def copy(ifc_file, element):
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def copy(ifc_file, element):
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