Builtins¶

Strategies for built-in Python objects in the context of Awkward Array.

These strategies are related to the section of Awkward Array User Guide "How to convert to/from Python objects".

Functions:

Name	Description
`builtin_safe_dtypes`	Strategy for NumPy dtypes with corresponding Python built-in types.
`items_from_dtype`	Strategy for Python built-in type values for a given NumPy dtype.
`from_list`	Strategy for Awkward Arrays created from Python lists.
`lists`	Strategy for nested Python lists for which Awkward Arrays can be created.

builtin_safe_dtypes ¶

builtin_safe_dtypes() -> st.SearchStrategy[np.dtype]

Strategy for NumPy dtypes with corresponding Python built-in types.

Examples:

>>> builtin_safe_dtypes().example()
dtype(...)

items_from_dtype ¶

items_from_dtype(
    dtype: dtype, *, allow_nan: bool = False
) -> st.SearchStrategy[Any]

Strategy for Python built-in type values for a given NumPy dtype.

Parameters:

Name	Type	Description	Default
`dtype`	`dtype`	The NumPy dtype to generate items for.	required
`allow_nan`	`bool`	Generate potentially `NaN` for relevant dtypes if `True`.	`False`

Examples:

>>> i = items_from_dtype(np.dtype('int64')).example()
>>> isinstance(i, int)
True

from_list ¶

from_list(
    *,
    dtype: dtype | SearchStrategy[dtype] | None = None,
    allow_nan: bool = False,
    max_size: int = 10,
) -> st.SearchStrategy[ak.Array]

Strategy for Awkward Arrays created from Python lists.

Parameters:

Name	Type	Description	Default
`dtype`	`dtype \| SearchStrategy[dtype] \| None`	The dtype of the list items or a strategy to generate it. If `None`, a dtype is drawn from `builtin_safe_dtypes()`.	`None`
`allow_nan`	`bool`	Generate potentially `NaN` for relevant dtypes if `True`.	`False`
`max_size`	`int`	Maximum total number of items (non-lists) in the entire nested list.	`10`

Examples:

>>> from_list().example()
<Array ... type='...'>

lists ¶

lists(
    draw: DrawFn,
    *,
    dtype: dtype | SearchStrategy[dtype] | None = None,
    allow_nan: bool = False,
    max_size: int = 10,
) -> NestedList

Strategy for nested Python lists for which Awkward Arrays can be created.

Parameters:

Name	Type	Description	Default
`dtype`	`dtype \| SearchStrategy[dtype] \| None`	The dtype of the list items or a strategy to generate it. If `None`, a dtype is drawn from `builtin_safe_dtypes()`.	`None`
`allow_nan`	`bool`	Generate potentially `NaN` for relevant dtypes if `True`.	`False`
`max_size`	`int`	Maximum total number of items (non-lists) in the entire nested list.	`10`

Examples:

>>> l = lists().example()
>>> ak.Array(l)
<Array ... type='...'>