I maintain a CPU-efficient but somewhat memory expensive lookup tree for datetime objects.

Method	__init__	Undocumented
Method	__len__	Undocumented
Method	isPending	Undocumented
Method	load	Load a list of datetime objects or rows whose first element is a datetime object.
Method	check	Check the specified datetime object, returning `True` if it's in my lookup tree.
Method	set	Sets an entry in my lookup tree for the specified datetime object.
Method	_uniterator	Iterates over values for each time unit of the supplied datetime object, yielding an integer number of positions to the last time unit and the value for that time unit.

def __init__(self, rows=[]):

Undocumented

def __len__(self):

Undocumented

def isPending(self, *args):

Undocumented

def load(self, rows):

Load a list of datetime objects or rows whose first element is a datetime object.

def _uniterator(self, dt):

Iterates over values for each time unit of the supplied datetime object, yielding an integer number of positions to the last time unit and the value for that time unit.

def check(self, dt):

Check the specified datetime object, returning True if it's in my lookup tree.

def set(self, dt):

Sets an entry in my lookup tree for the specified datetime object.

API Documentation for logalyzer, generated by pydoctor at 2021-09-18 08:41:09.

logalyzer.database.DTK(object) class documentation

`logalyzer.database.DTK(object)` class documentation