Gerenuk

from arpeggio.cleanpeg import ParserPEG
from arpeggio import PTNodeVisitor, visit_parse_tree

GRAMMAR=r"""
full = expr EOF
expr = var / function / application
function = "/" var "." expr
application = "(" expr expr ")"
var = r"\w+"
"""

Gerenuk

import re
import unicodedata

STATE_FIND_STREETNAME = 1
STATE_FIND_FIRST_NUMBER = 2
STATE_FIND_SECOND_NUMBER = 3
STATE_ALL_FOUND = 4


def normalize_street(

Gerenuk

#!/usr/bin/env python


import contextlib as __stickytape_contextlib

@__stickytape_contextlib.contextmanager
def __stickytape_temporary_dir():
    import tempfile
    import shutil
    dir_path = tempfile.mkdtemp()

Gerenuk

#!/usr/bin/env python


import contextlib as __stickytape_contextlib

@__stickytape_contextlib.contextmanager
def __stickytape_temporary_dir():
    import tempfile
    import shutil
    dir_path = tempfile.mkdtemp()

Gerenuk

:toc:
:toc-placement: left
toc::[]

== Summary

* mostly from https://otexts.org/fpp2/[Forecasting: Principles and Practice (Hyndman, Athanasopoulos)]
* "stationary": properties do not depend on absolute time (e.g. fixed time seasons; but may have cycles due to dependence on past values)
* centered moving average will smooth out seasons (e.g. 1/8,1/4,1/4,1/4,1/8)
* maybe transform data if want to restrict to range (e.g. log for positive values) or variances are changing (e.g. Box-Cox transform)

Gerenuk

from functools import reduce
from operator import add


def monoid(combine, create=lambda x:x):
    def wrapped(val):
        return Monoid(combine, create(val))
    return wrapped