LessThanOrEquals

class deeptrack.features.LessThanOrEquals(b: Any | list[Any] | Callable[[...], Any | list[Any]] = 0, **kwargs: Any)

Bases: ArithmeticOperationFeature

Determine whether input is less than or equal to value.

This feature performs element-wise comparison (<=) of the input.

Parameters

b: PropertyLike[Any | list[Any]], optional

The value to compare (<=) with the input. Defaults to 0.

**kwargs: Any

Additional keyword arguments passed to the parent constructor.

Examples

>>> import deeptrack as dt

Start by creating a pipeline using LessThanOrEquals:

>>> pipeline = dt.Value([1, 2, 3]) >> dt.LessThanOrEquals(b=2)
>>> pipeline.resolve()
[True, True, False]

Equivalently, this pipeline can be created using:

>>> pipeline = dt.Value([1, 2, 3]) <= 2
>>> pipeline.resolve()
[True, True, False]

Which is not equivalent to:

>>> pipeline = 2 <= dt.Value([1, 2, 3])  # Different result
>>> pipeline.resolve()
[False, True, True]

Or, more explicitly:

>>> input_value = dt.Value([1, 2, 3])
>>> le_feature = dt.LessThanOrEquals(b=2)
>>> pipeline = le_feature(input_value)
>>> pipeline.resolve()
[True, True, False]