all_equal#
- ivy.all_equal(*xs, equality_matrix=False)[source]#
Determine whether the inputs are all equal.
- Parameters:
xs (
Iterable
[Any
]) – inputs to compare.equality_matrix (
bool
, default:False
) – Whether to return a matrix of equalities comparing each input with every other. Default isFalse
.
- Return type:
Union
[bool
,Array
,NativeArray
]- Returns:
ret – Boolean, whether or not the inputs are equal, or matrix array of booleans if equality_matrix=True is set.
Examples
With
ivy.Array
inputs:>>> x1 = ivy.array([1, 1, 0, 0, 1, -1]) >>> x2 = ivy.array([1, 1, 0, 0, 1, -1]) >>> y = ivy.all_equal(x1, x2) >>> print(y) True
>>> x1 = ivy.array([0, 0]) >>> x2 = ivy.array([0, 0]) >>> x3 = ivy.array([1, 0]) >>> y = ivy.all_equal(x1, x2, x3, equality_matrix=True) >>> print(y) ivy.array([[ True, True, False], [ True, True, False], [False, False, True]])
With one
ivy.Container
inputs:>>> x1 = ivy.Container(a=ivy.array([0, 0, -1, 1, 0]), ... b=ivy.array([0, 0, -1, 1, 0])) >>> x2 = ivy.array([0, 0, -1, 1, 0]) >>> y = ivy.all_equal(x1, x2, equality_matrix=False) >>> print(y) { a: True, b: True }
With multiple
ivy.Container
inputs:>>> x1 = ivy.Container(a=ivy.array([1, 0, 1, 1]), ... b=ivy.array([1, 0, 0, 1])) >>> x2 = ivy.Container(a=ivy.array([1, 0, 1, 1]), ... b=ivy.array([1, 0, -1, -1])) >>> y = ivy.all_equal(x1, x2, equality_matrix=False) >>> print(y) { a: True, b: False }
- Array.all_equal(self, *x2, equality_matrix=False)[source]#
ivy.Array instance method variant of ivy.all_equal. This method simply wraps the function, and so the docstring for ivy.all_equal also applies to this method with minimal changes.
- Parameters:
self (
Array
) – input arrayx2 (
Iterable
[Any
]) – input iterable to compare toself
equality_matrix (
bool
, default:False
) – Whether to return a matrix of equalities comparing each input with every other. Default isFalse
.
- Return type:
Union
[bool
,Array
,NativeArray
]- Returns:
ret – Boolean, whether or not the inputs are equal, or matrix array of booleans if equality_matrix=True is set.
Examples
>>> x1 = ivy.array([1, 1, 0, 0, 1, -1]) >>> x2 = ivy.array([1, 1, 0, 0, 1, -1]) >>> y = x1.all_equal(x2) >>> print(y) True
>>> x1 = ivy.array([0, 0]) >>> x2 = ivy.array([0, 0]) >>> x3 = ivy.array([1, 0]) >>> y = x1.all_equal(x2, x3, equality_matrix=True) >>> print(y) ivy.array([[ True, True, False], [ True, True, False], [False, False, True]])
- Container.all_equal(self, *xs, equality_matrix=False, key_chains=None, to_apply=True, prune_unapplied=False, map_sequences=False)[source]#
ivy.Container instance method variant of ivy.all_equal. This method simply wraps the function, and so the docstring for ivy.all_equal also applies to this method with minimal changes.
- Parameters:
self (
Container
) – input container.xs (
Union
[Iterable
[Any
],Container
]) – arrays or containers to be compared toself
.equality_matrix (
Union
[bool
,Container
], default:False
) – Whether to return a matrix of equalities comparing each input with every other. Default isFalse
.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 – Boolean, whether or not the inputs are equal, or matrix container of booleans if equality_matrix=True is set.
Examples
With one
ivy.Container
instances:>>> x1 = ivy.Container(a=ivy.array([1, 0, 1, 1]), b=ivy.array([1, -1, 0, 0])) >>> x2 = ivy.array([1, 0, 1, 1]) >>> y = x1.all_equal(x2, equality_matrix= False) >>> print(y) { a: True, b: False }
>>> x1 = ivy.Container(a=ivy.array([1, 0, 1, 1]), b=ivy.array([1, -1, 0, 0])) >>> x2 = ivy.array([1, 0, 1, 1]) >>> y = x1.all_equal(x2, equality_matrix= False) >>> print(y) { a: True, b: False }
With multiple
ivy.Container
instances:>>> 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.all_equal(x2, equality_matrix= False) >>> print(y) { a: False, b: True }
>>> 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.all_equal(x2, equality_matrix= False) >>> print(y) { a: False, b: True }