# xarray.testing.strategies.unique_subset_of

### xarray.testing.strategies.unique_subset_of(objs, , min_size=0, max_size=None)

Return a strategy which generates a unique subset of the given objects.

Each entry in the output subset will be unique (if input was a sequence) or have a unique key (if it was a mapping).

Requires the hypothesis package to be installed.

* **Parameters:**
  * **objs** (`Union[Sequence[Hashable]`, `Mapping[Hashable`, `Any]]`) – Objects from which to sample to produce the subset.
  * **min_size** ([`int`](https://docs.python.org/3/builtins/functions.html#int), *optional*) – Minimum size of the returned subset. Default is 0.
  * **max_size** ([`int`](https://docs.python.org/3/builtins/functions.html#int), *optional*) – Maximum size of the returned subset. Default is the full length of the input.
    If set to 0 the result will be an empty mapping.
* **Returns:**
  `unique_subset_strategy` – Strategy generating subset of the input.

#### SEE ALSO
[Hypothesis testing](../user-guide/testing.html.md#testing-hypothesis)

### Examples

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```pycon
>>> unique_subset_of({"x": 2, "y": 3}).example()
{'y': 3}
>>> unique_subset_of(["x", "y"]).example()
['x']
```

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