copy_nest#
- ivy.copy_nest(nest, /, include_derived=False, to_mutable=False)[source]#
Copy a nest deeply, but without copying leaves of the nest, only the nest lists, tuples and dicts are copied.
- Parameters:
nest (
Union
[Array
,NativeArray
,Iterable
]) – The nest to copy.include_derived (
bool
, default:False
) – Whether to also recursive for classes derived from tuple, list and dict. Default isFalse
.to_mutable (
bool
, default:False
) – Whether to convert the nest to a mutable form, changing all tuples to lists. Default isFalse
.
- Return type:
Union
[Array
,NativeArray
,Iterable
]- Returns:
ret – The copied nest.
Examples
With
ivy.Array
input:>>> nest = ivy.array([[1.,2.,3.],[7.,8.,9.]]) >>> copied_nest = ivy.copy_nest(nest) >>> print(copied_nest) ivy.array([[1., 2., 3.], [7., 8., 9.]])
With
Iterable
input:>>> nest = [[1, 2, 3, 4, 5], [23, 24, 25, 26, 27]] >>> copied_nest = ivy.copy_nest(nest, include_derived = True) >>> print(copied_nest) [[1, 2, 3, 4, 5], [23, 24, 25, 26, 27]]
>>> nest = ([23, 25, 1337], [63, 98, 6]) >>> copied_nest = ivy.copy_nest(nest, to_mutable = True) >>> print(copied_nest) [[23, 25, 1337], [63, 98, 6]]
>>> nest = {'first': [23., 24., 25], 'second': [46., 48., 50]} >>> copied_nest = ivy.copy_nest(nest) >>> print(copied_nest) {'first': [23.0, 24.0, 25], 'second': [46.0, 48.0, 50]}