array_equal#
- ivy.array_equal(x0, x1, /)[source]#
Determine whether two input arrays are equal across all elements.
- Parameters:
- Return type:
bool
- Returns:
ret – Boolean, whether or not the input arrays are equal across all elements.
Examples
>>> x = ivy.array([1,0,1]) >>> y = ivy.array([1,0,-1]) >>> z = ivy.array_equal(x,y) >>> print(z) False
>>> a = ivy.array([1, 2]) >>> b = ivy.array([1, 2]) >>> c = ivy.array_equal(a,b) >>> print(c) True
>>> i = ivy.array([1, 2]) >>> j = ivy.array([1, 2, 3]) >>> k = ivy.array_equal(i,j) >>> print(k) False
- Array.array_equal(self, x, /)[source]#
ivy.Array instance method variant of ivy.array_equal. This method simply wraps the function, and so the docstring for ivy.array_equal also applies to this method with minimal changes.
- Parameters:
self (
Array
) – input arrayx (
Union
[Array
,NativeArray
]) – input array to compare toself
- Return type:
bool
- Returns:
ret – Boolean, whether or not the input arrays are equal
Examples
>>> x = ivy.array([-1,0]) >>> y = ivy.array([1,0]) >>> z = x.array_equal(y) >>> print(z) False
>>> a = ivy.array([1, 2]) >>> b = ivy.array([1, 2]) >>> c = a.array_equal(b) >>> print(c) True
>>> i = ivy.array([1, 2]) >>> j = ivy.array([1, 2, 3]) >>> k = i.array_equal(j) >>> print(k) False
- Container.array_equal(self, x, /, *, key_chains=None, to_apply=True, prune_unapplied=False, map_sequences=False)[source]#
ivy.Container instance method variant of ivy.array_equal. This method simply wraps the function, and so the docstring for ivy.array_equal also applies to this method with minimal changes.
- Parameters:
self (
Union
[Array
,NativeArray
,Container
]) – The first input container to compare.x (
Union
[Array
,NativeArray
,Container
]) – The second input container to compare.key_chains (
Optional
[Union
[List
[str
],Dict
[str
,str
],Container
]], default:None
) – The key-chains to apply or not apply the method to. Default isNone
.to_apply (
Union
[bool
,Container
], default:True
) – If True, the method will be applied to key_chains, otherwise key_chains will be skipped. Default isTrue
.prune_unapplied (
Union
[bool
,Container
], default:False
) – Whether to prune key_chains for which the function was not applied. Default isFalse
.map_sequences (
Union
[bool
,Container
], default:False
) – Whether to also map method to sequences (lists, tuples). Default isFalse
.
- Return type:
Container
- Returns:
ret – A boolean container indicating whether the two containers are equal at each level.
Examples
>>> a = ivy.array([[0., 1.], [1. ,0.]]) >>> b = ivy.array([[-2., 1.], [1. ,2.]]) >>> c = ivy.array([[0., 1.], [1. ,0.]]) >>> d = ivy.array([[2., 1.], [1. ,2.]]) >>> a1 = ivy.Container(a = a, b = b) >>> a2 = ivy.Container(a = c, b = d) >>> y = a1.array_equal(a2) >>> print(y) { a: True, b: False }
>>> x1 = ivy.Container(a=ivy.native_array([1, 0, 0]), b=ivy.array([1, 2, 3])) >>> x2 = ivy.Container(a=ivy.native_array([1, 0, 1]), b=ivy.array([1, 2, 3])) >>> y = x1.array_equal(x2) >>> print(y) { a: False, b: True }