ndtools 0.3.0

Collection of tools to extend multidimensional array operations

ndtools

Collection of tools to extend multidimensional array operations

Installation

pip install ndtools

Usage

Array comparison

ndtools provides TotalEquality and TotalOrdering that implement missing equality and ordering operations for multidimensional arrays, respectively. TotalEquality will implement missing __ne__ from user-defined __eq__ or missing __eq__ from user-defined __ne__. The following example implements an equatable object that checks whether each array element is even or not:

import numpy as np
from ndtools import TotalEquality

class Even(TotalEquality):
    def __eq__(self, array):
        return array % 2 == 0

Even() == np.arange(3)  # -> array([True, False, True])
Even() != np.arange(3)  # -> array([False, True, False])

It also supports a more intuitive notation with the array written on the left-hand side and the object on the right-hand side:

np.arange(3) == Even()  # -> array([True, False, True])
np.arange(3) != Even()  # -> array([False, True, False])

TotalOrdering will implement missing ordering operators (__ge__, __gt__, __le__, __lt__). Similar to functools.total_ordering, at least one of them, and __eq__ or __ne__ must be user-defined. The following example implements an equatable object that defines equivalence with a certain range:

import numpy as np
from dataclasses import dataclass
from ndtools import TotalOrdering

@dataclass
class Range(TotalOrdering)
    lower: float
    upper: float

    def __eq__(self, array):
        return (array >= self.lower) & (array < self.upper)

    def __ge__(self, array):
        return array < self.upper

Range(1, 2) == np.arange(3)  # -> array([False, True, False])
Range(1, 2) < np.arange(3)   # -> array([False, False, True])
Range(1, 2) > np.arange(3)   # -> array([True, False, False])

It also supports a more intuitive notation with the array written on the left-hand side and the object on the right-hand side:

np.arange(3) == Range(1, 2) # -> array([False, True, False])
np.arange(3) < Range(1, 2)  # -> array([True, False, False])
np.arange(3) > Range(1, 2)  # -> array([False, False, True])

Equatable combination

ndtools provides All, Any, and Combinable that implement logical operations between equatable objects. Equatable classes that inherit from Combinable can perform logical operations between the class instance and other equatable object. Then instance & object will return All([instance, other]) and instance | object will return Any[instance, other]).

import numpy as np
from ndtools import Combinable, TotalEquality

class Even(Combinable, TotalEquality):
    def __eq__(self, array):
        return array % 2 == 0

class Odd(Combinable, TotalEquality):
    def __eq__(self, array):
        return array % 2 == 1

Even() & Odd()  # -> All([Even(), Odd()])
Even() | Odd()  # -> Any([Even(), Odd()])

np.arange(3) == Even() & Odd()  # -> array([False, False, False])
np.arange(3) == Even() | Odd()  # -> array([True, True, True])