time_split.support.types

Internal types.

Classes

DatetimeIndexLike(*args, **kwargs)	A type that behaves (sort of) like a pandas.DatetimeIndex.
MaterializedSchedule(schedule, ...)	An explicit schedule.
ProcessAvailableResult(available_as_index, ...)	Output of process_available().

class DatetimeIndexLike(*args, **kwargs)

Bases: Protocol, Iterable[str | Timestamp | datetime | date | datetime64]

A type that behaves (sort of) like a pandas.DatetimeIndex.

value_counts() → Series

min() → str | Timestamp | datetime | date | datetime64

max() → str | Timestamp | datetime | date | datetime64

class MaterializedSchedule(schedule: DatetimeIndex, available_metadata: ProcessAvailableResult, schedule_type: Literal['cron', 'explicit', 'timedelta'])

Bases: NamedTuple

An explicit schedule.

schedule: DatetimeIndex

Alias for field number 0

available_metadata: ProcessAvailableResult

Alias for field number 1

schedule_type: Literal['cron', 'explicit', 'timedelta']

Alias for field number 2

class ProcessAvailableResult(available_as_index: DatetimeIndexLike | None, limits: tuple[Timestamp, Timestamp], expanded_limits: tuple[Timestamp, Timestamp])

Bases: NamedTuple

Output of process_available().

available_as_index: DatetimeIndexLike | None

Alias for field number 0

limits: tuple[Timestamp, Timestamp]

Alias for field number 1

expanded_limits: tuple[Timestamp, Timestamp]

Alias for field number 2