# exists#

ivy.exists(x, /)[source]#

Check as to whether the input is None or not.

Parameters:

x (`Any`) – Input to check.

Return type:

`bool`

Returns:

ret – True if x is not None, else False.

Examples

With `Any` input:

```>>> x = None
>>> y = ivy.exists(x)
>>> print(y)
False
```
```>>> x = ""
>>> y = ivy.exists(x)
>>> print(y)
True
```
```>>> x = []
>>> y = ivy.exists(x)
>>> print(y)
True
```
```>>> x = 1
>>> y = ivy.exists(x)
>>> print(y)
True
```
```>>> x = "abc"
>>> y = ivy.exists(x)
>>> print(y)
True
```
```>>> x = [1, 0, -1, 1]
>>> y = ivy.exists(x)
>>> print(y)
True
```
```>>> x = ivy.array([1, 2, 3, 1.2])
>>> y = ivy.exists(x)
>>> print(y)
True
```

With a mix of `ivy.Container` and `Any` input:

```>>> x = ivy.Container(a=None, b=None)
>>> y = ivy.exists(x)
>>> print(y)
True
```
```>>> x = ivy.Container(a=None, b="")
>>> y = ivy.exists(x)
>>> print(y)
True
```
```>>> x = ivy.Container(a=123, b="")
>>> y = ivy.exists(x)
>>> print(y)
True
```
Array.exists(self, /)[source]#

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

Parameters:

self (`Array`) – input array.

Return type:

`bool`

Returns:

ret – True if input is not None, else False.

Examples

```>>> x = ivy.array([1, 2, 3, 1.2])
>>> y = x.exists()
>>> print(y)
True
```
```>>> x = ivy.array([])
>>> y = x.exists()
>>> print(y)
True
```
Container.exists(self, /, *, key_chains=None, to_apply=True, prune_unapplied=False, map_sequences=False)[source]#

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

Parameters:
• self (`Container`) – The input container.

• 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`.

Return type:

`Container`

Returns:

ret – A boolean container detailing if any of the leaf nodes are None. True if not None, False if None.

Examples

```>>> x = ivy.Container(a=[1,2,3,4], b=[])
>>> y = x.exists()
>>> print(y)
{ a: True, b: True }
```
```>>> x = ivy.Container(a=None, b=[1,2])
>>> y = x.exists()
>>> print(y)
{ a: False, b: True }
```
```>>> x = ivy.Container(a={"d": 1, "c": 3}, b=None)
>>> y = x.exists()
>>> print(y)
{ a: { c: True, d: True }, b: False }
```