research_client.datavalidator.types

Type definitions for the datavalidator package.

Module Attributes

`RangeT`	Type for inclusive numeric ranges (int or float).
`SetT`	Type for checking whether whether a value is contained in a set.
`PolarT`	Type for checking whether value falls within a set of polar items.
`PatternT`	Type for regular expression patterns for string matching.
`EnumT`	Type for enumerable checking and valuation.

EnumT

Type for enumerable checking and valuation.

Note: The dictionary keys and values can be any type. If a value repeats for: more than one individual key it will be treated as an alias.

Examples

{“A”: 1, “B”: 2} will match inputs “A”, 1, “B”, and 2, and cast to either 1 or 2.

PatternT

Type for regular expression patterns for string matching.

Note: In use, a PatternT string will always be annotated with a preceding r”A”: and a succeeding r”Z” to match the start and end of a string exhaustively.

Examples

PolarT

Type for checking whether value falls within a set of polar items.

Examples

({“yes”, “on”, “true”}, {“no”, “off”, “false”}) checks whether a given value is in the set {“yes”, “on”, “true”} or the set {“no”, “off”, “false”}, and depending on the function might return True for the former set and False for the latter.

Alias of Union[tuple[Iterable[Any], Iterable[Any]], list[Iterable[Any]]]

RangeT

Type for inclusive numeric ranges (int or float).

Examples

(1, 10) validates integers and floats 1 through 10 inclusive.
(1.0, 10.0) same as (1, 10).
(0.5, 9.5) validates integers 1 through 10 inclusive, but floats only from 0.50 to 9.50 inclusive.
[1, 10] same as (1, 10).
[0.5, 9.5] same as (0.5, 9.5).

Alias of Union[tuple[int, int], tuple[float, float], list[int], list[float]]

SetT

Type for checking whether whether a value is contained in a set.

Examples

Alias of Iterable[Any]

XT = TypeVar(XT)

Type: TypeVar

Invariant TypeVar.

YT = TypeVar(YT)

Type: TypeVar

Invariant TypeVar.