alexprengere

from neobase import NeoBase

N = NeoBase()

for key in N:
    N.set(key, city_codes=set(N.get(key, "city_code_list")))

for key in sorted(N):
    if "A" not in N.get(key, "location_type"):
        continue

alexprengere

#!/usr/bin/env python
# -*- coding: utf-8 -*-

"""
Code from https://lethain.com/genetic-algorithms-cool-name-damn-simple
"""

from random import randint, random
from operator import add

alexprengere

import traceback
from functools import wraps

def log_exceptions(fd):
    def _wrapped(func):
        @wraps(func)
        def _func(*args, **kwargs):
            try:
                return func(*args, **kwargs)
            except Exception:

alexprengere

#!/usr/bin/env python
# -*- coding: utf-8 -*-

from GeoBases import GeoBase


def main():
    g = GeoBase('ori_por', verbose=False)

    for p in g:

alexprengere

#!/usr/bin/env python
# -*- coding: utf-8 -*-

import sys
from GeoBases import GeoBase

import pytz

def load_best_known(filename):
    with open(filename) as f:

alexprengere

#!/usr/bin/env python
# -*- coding: utf-8 -*-

from GeoBases import GeoBase
import pytz


def pors_with_unk_tz(db_oripor):
    for p in db_oripor:
        p_tz = db_oripor.get(p, 'timezone')

alexprengere

#!/usr/bin/python

"""
Some prettification functions.

    >>> humanize(1024, is_bytes=True)
    '1.0 kB'
    >>> humanize(1000*12342)
    '12.3 M'
    >>> pretty_num(1255000)

alexprengere

#!/usr/bin/python

"""
Some stats functions::

    >>> mean([1, 2, 6])
    3.0
    >>> variance([1, 2, 6], bias=True)
    4.666666...

alexprengere

#!/usr/bin/env python

"""
Simple converter from pace to reference times
for runners.

 $ ./run_times_from_pace.py 4:15 -d 1.0
 1.00km in 0:04:15 gives you:

            1km: 0:04:15         ( 1.00km)

alexprengere

#!/usr/bin/python
# -*- coding: utf-8 -*-

"""
Drawing some lines between airports on a map.
"""

from GeoBases import GeoBase

def main():