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Fix typos
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@@ -3,7 +3,7 @@
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#
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# Under tools is where you put the IDs of the tools. Tool IDs must be
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# distinct. In each tool is a list of rules, each of which contain rule-specific
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# paremeters. Dynamic Tool Destination is set up to allow and fix a few light errors
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# parameters. Dynamic Tool Destination is set up to allow and fix a few light errors
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# in the config, but it's best to follow the specified template.
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#
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# default_destination, the second key property, specifies which global destination
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@@ -101,7 +101,7 @@
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#
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# **The rule will allow the lower_bound, up to but not including the upper_bound
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#
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# The third rule_type is arguments, which has arguments as a mandatory parameter ontop of
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# The third rule_type is arguments, which has arguments as a mandatory parameter on top of
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# the base mandatory parameters. The arguments parameter is specified using the following
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# template:
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#
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@@ -139,26 +139,26 @@ def dictify_element_reference(element, rank_fuzzy_counts=None):
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dictified = element.to_dict(view="element")
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element_object = element.element_object
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if element_object is not None:
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object_detials = dict(
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object_details = dict(
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id=element_object.id,
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model_class=element_object.__class__.__name__,
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)
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if element.child_collection:
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object_detials["collection_type"] = element_object.collection_type
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object_details["collection_type"] = element_object.collection_type
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child_collection = element.child_collection
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elements, rest_fuzzy_counts = get_fuzzy_count_elements(child_collection, rank_fuzzy_counts)
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# Recursively yield elements for each nested collection...
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object_detials["elements"] = [dictify_element_reference(_, rank_fuzzy_counts=rest_fuzzy_counts) for _ in elements]
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object_detials["element_count"] = child_collection.element_count
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object_details["elements"] = [dictify_element_reference(_, rank_fuzzy_counts=rest_fuzzy_counts) for _ in elements]
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object_details["element_count"] = child_collection.element_count
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else:
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object_detials["state"] = element_object.state
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object_detials["hda_ldda"] = 'hda'
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object_detials["history_id"] = element_object.history_id
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object_details["state"] = element_object.state
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object_details["hda_ldda"] = 'hda'
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object_details["history_id"] = element_object.history_id
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else:
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object_detials = None
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object_details = None
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dictified["object"] = object_detials
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dictified["object"] = object_details
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return dictified
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@@ -166,20 +166,20 @@ def dictify_element(element, rank_fuzzy_counts=None):
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dictified = element.to_dict(view="element")
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element_object = element.element_object
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if element_object is not None:
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object_detials = element.element_object.to_dict()
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object_details = element.element_object.to_dict()
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if element.child_collection:
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child_collection = element.child_collection
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elements, rest_fuzzy_counts = get_fuzzy_count_elements(child_collection, rank_fuzzy_counts)
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# Recursively yield elements for each nested collection...
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child_collection = element.child_collection
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object_detials["elements"] = [dictify_element(_, rank_fuzzy_counts=rest_fuzzy_counts) for _ in elements]
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object_detials["populated"] = child_collection.populated
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object_detials["element_count"] = child_collection.element_count
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object_details["elements"] = [dictify_element(_, rank_fuzzy_counts=rest_fuzzy_counts) for _ in elements]
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object_details["populated"] = child_collection.populated
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object_details["element_count"] = child_collection.element_count
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else:
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object_detials = None
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object_details = None
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dictified["object"] = object_detials
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dictified["object"] = object_details
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return dictified
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