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less#

ivy.less(x1, x2, /, *, out=None)[source]#

Compute the truth value of x1_i < x2_i for each element x1_i of the input array x1 with the respective element x2_i of the input array x2.

Parameters:

  • x1 (Union[float, Array, NativeArray]) – first input array. Should have a numeric data type.

  • x2 (Union[float, Array, NativeArray]) – second input array. Must be compatible with x1 (see ref:broadcasting). Should have a numeric data type.

  • out (Optional[Array], default: None) – optional output array, for writing the result to. It must have a shape that the inputs broadcast to.

Return type:

Array

Returns:

ret – an array containing the element-wise results. The returned array must have a data type of bool.

Examples

With ivy.Array input:

>>> x = ivy.less(ivy.array([1,2,3]),ivy.array([2,2,2]))
>>> print(x)
ivy.array([ True, False, False])

>>> x = ivy.array([[[1.1], [3.2], [-6.3]]])
>>> y = ivy.array([[8.4], [2.5], [1.6]])
>>> ivy.less(x, y, out=x)
>>> print(x)
ivy.array([[[1.],
        [0.],
        [1.]]])

With a mix of ivy.Array and ivy.NativeArray inputs:

>>> x = ivy.array([1, 2, 3])
>>> y = ivy.native_array([4, 5, 0])
>>> z = ivy.less(x, y)
>>> print(z)
ivy.array([ True,  True, False])

With a mix of ivy.Array and ivy.Container inputs:

>>> x = ivy.array([[5.1, 2.3, -3.6]])
>>> y = ivy.Container(a=ivy.array([[4.], [5.], [6.]]),
...                   b=ivy.array([[5.], [6.], [7.]]))
>>> z = ivy.less(x, y)
>>> print(z)
{
    a: ivy.array([[False, True, True],
                  [False, True, True],
                  [True, True, True]]),
    b: ivy.array([[False, True, True],
                  [True, True, True],
                  [True, True, True]])
}

With ivy.Container input:

>>> x = ivy.Container(a=ivy.array([4, 5, 6]),b=ivy.array([2, 3, 4]))
>>> y = ivy.Container(a=ivy.array([1, 2, 3]),b=ivy.array([5, 6, 7]))
>>> z = ivy.less(x, y)
>>> print(z)
{
    a: ivy.array([False, False, False]),
    b: ivy.array([True, True, True])
}
Array.less(self, x2, /, *, out=None)[source]#

ivy.Array instance method variant of ivy.less. This method simply wraps the function, and so the docstring for ivy.less also applies to this method with minimal changes.

Parameters:

  • self (Array) – first input array. Should have a real-valued data type.

  • x2 (Union[Array, NativeArray]) – second input array. Must be compatible with self (see broadcasting). Should have a real-valued data type.

  • out (Optional[Array], default: None) – optional output array, for writing the result to. It must have a shape that the inputs broadcast to.

Return type:

Array

Returns:

ret – an array containing the element-wise results. The returned array must have a data type of bool.

Examples

>>> x1 = ivy.array([2., 5., 15.])
>>> x2 = ivy.array([3., 2., 4.])
>>> y = x1.less(x2)
>>> print(y)
ivy.array([ True, False, False])
Container.less(self, x2, /, *, key_chains=None, to_apply=True, prune_unapplied=False, map_sequences=False, out=None)[source]#

ivy.Container instance method variant of ivy.less. This method simply wraps the function, and so the docstring for ivy.less also applies to this method with minimal changes.

Parameters:

  • self (Container) – input array or container. Should have a real-valued data type.

  • x2 (Union[Container, Array, NativeArray]) – input array or container. Must be compatible with self (see broadcasting). Should have a real-valued data type.

  • key_chains (Optional[Union[List[str], Dict[str, str], Container]], default: None) – The key-chains to apply or not apply the method to. Default is None.

  • to_apply (Union[bool, Container], default: True) – If True, the method will be applied to key_chains, otherwise key_chains will be skipped. Default is True.

  • prune_unapplied (Union[bool, Container], default: False) – Whether to prune key_chains for which the function was not applied. Default is False.

  • map_sequences (Union[bool, Container], default: False) – Whether to also map method to sequences (lists, tuples). Default is False.

  • out (Optional[Container], default: None) – optional output container, for writing the result to. It must have a shape that the inputs broadcast to.

Return type:

Container

Returns:

ret – a container containing the element-wise results. The returned container must have a data type of bool.

Examples

>>> x = ivy.Container(a=ivy.array([4, 5, 6]),
...                   b=ivy.array([2, 3, 4]))
>>> y = ivy.Container(a=ivy.array([1, 2, 3]),
...                   b=ivy.array([5, 6, 7]))
>>> z = x.less(y)
>>> print(z)
{
    a: ivy.array([False, False, False]),
    b: ivy.array([True, True, True])
}
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