polars.testing.parametric.lists#

polars.testing.parametric.lists(

inner_dtype: DataType,

*,

select_from: Sequence[Any] | None = None,

min_size: int = 0,

max_size: int | None = None,

unique: bool = False,

**kwargs: Any,

) → SearchStrategy[list[Any]][source]#

Create a strategy for generating lists of the given data type.

Parameters:

inner_dtype: Data type of the list elements. If the data type is not fully instantiated, defaults will be used, e.g. Datetime will become Datetime('us').
select_from: The values to use for the innermost lists. If set to None (default), the default strategy associated with the innermost data type is used.
min_size: The minimum length of the generated lists.
max_size: The maximum length of the generated lists. If set to None (default), the maximum is set based on min_size: 3 if min_size is zero, otherwise 2 * min_size.
unique: Ensure that the generated lists contain unique values.
**kwargs: Additional arguments that are passed to nested data generation strategies.

Examples

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