Uber Filter (Collection)

PCGEx | Uber Filter (Collection)

Combine multiple filters

The Uber Filter (Collection) node utilizes all available filters to evaluate points within collections, filtering the entire collection based on the aggregated results of individual points.

Points to be filtered

Filter

Filters to be evaluated

Inside

Collections that passed the filters

Outside

Collections that didn't pass the filters.

Table of content

Properties
- Available Filters

The Uber Filter (Collection) node combines various filters to assess collections of points, determining whether each collection passes based on the results of its constituent points.

details/filter-ecosystem/filter-uber-filter-collection-lead.png

Properties

Property	Description
Settings
Mode	Choose how to deal with the combined results. See below.
Measure	Measure to use when using `Partial` filter requirements. Either `Relative` to the total number of points in the collection, or an absolute, `Discrete` value.
Comparison	How to compare the number of points that passed the filters against the specified threshold.

Threshold
Dbl Threshold	Relative threshold over a `0..1` range. 0 = 0% of the points passed, 1 = 100% of the points passed.
Int Threshold	Discrete threshold.
Tolerance	Tolerance used with approximative comparison modes.

Swap	Invert the result of the threshold test.

Mode
All	All points within the collection must pass the filters for the entire collection to pass.
Any	Any point within the collection has to pass the filters for the entire collection to pass.
Partial	A partial number of points must pass the filters for the entire collection to pass.

Available Filters

🝖 AND / OR (Group)

Group multiple filters to set up complex AND/OR branches.

🝖 Compare Nearest (Numeric)

The Numeric Comparison Filter compares the arithmetic value of an attribute against the closest point from another dataset.

🝖 Compare (Numeric)

The Numeric Comparison Filter compares the arithmetic value of two attributes

🝖 Compare (String)

Compares two string-like attributes against each other.

🝖 Bool

Performs a simple boolean comparison, converting numeric values to true (> 0) or false (<= 0).

🝖 Within Range

Checks if an attribute value falls within a specified range.

🝖 Dot Product

Compares the dot product of two direction vectors against a third value.

🝖 Modulo Comparison

Compares the modulo of two attributes against a third operand, with configurable comparisons and tolerance.

🝖 Distance

Compare distance to closest target against a constant or attribute.

🝖 Bounds

Checks if a point is inside or outside the provided bounds, with options for bounds types and an epsilon adjustment.

🝖 Bitmask

Checks specific flags in an int64 bitmask attribute with configurable mask types, comparisons, and an option to invert results.

🝖 Random

Random filter.

🝖 Mean Value

The Mean Value Filter compares per-point values of an attribute against the mean statistical value of that same attribute.

🝖 Self Compare (Numeric)

Compares the numeric value at one index against the same attribute at another index.

🝖 Self Compare (String)

Compares the string value at one index against the same attribute at another index.

🝖 Spline Inclusion

Checks against how a point is included in a spline.

🝖 Path Inclusion

Checks against how a point is included in a path.