Logical

Classes:

Condition([minimum, maximum, elementwise])	Compare the input against some condition
Compare(compare_fn, *args, **kwargs)	Compare processed values using some function that returns a boolean

class Condition(minimum=None, maximum=None, elementwise=False, *args, **kwargs)

Bases: Transform

Compare the input against some condition

Parameters:

• minimum

• maximum

• elementwise (bool) – if False, return True only if all values are within range. otherwise return bool for each tested value

• *args

• **kwargs

Methods:

process(input)

Attributes:

minimum
maximum
format_in
format_out

process(input)

property minimum: [<class 'numpy.ndarray'>, <class 'float'>]

property maximum: [<class 'numpy.ndarray'>, <class 'float'>]

property format_in: dict

property format_out: dict

class Compare(compare_fn: callable, *args, **kwargs)

Bases: Transform

Compare processed values using some function that returns a boolean

ie. process will return compare_fn(*args) from process.

it is expected that input will be an iterable with len > 1

Parameters:

• compare_fn (callable) – Function used to compare the values given to Compare.process()

• *args ()

• **kwargs ()

Methods:

process(input)

process(input)