xrotwang

2017-11-24 10:43:36,843 INFO  [sqlalchemy.engine.base.Engine][waitress] SELECT languoid.pk AS languoid_pk, language.pk AS language_pk, language.jsondata AS language_jsondata, language.polymorphic_type AS language_polymorphic_type, language.id AS language_id, language.name AS language_name, language.description AS language_description, language.markup_description AS language_markup_description, language.latitude AS language_latitude, language.longitude AS language_longitude, language.version AS language_version, languoid.hid AS languoid_hid, languoid.father_pk AS languoid_father_pk, languoid.family_pk AS languoid_family_pk, languoid.level AS languoid_level, languoid.status AS languoid_status, languoid.bookkeeping AS languoid_bookkeeping, languoid.newick AS languoid_newick, languoid.child_family_count AS languoid_child_family_count, languoid.child_language_count AS languoid_child_language_count, languoid.child_dialect_count AS languoid_child_dialect_count, languoid_1.pk AS languoid_1_pk, language_1.pk AS langua

xrotwang

import sys
import re

import requests
from hurry.filesize import size


NEXT = re.compile('\<(?P<url>[^\>]+)\>; rel\=\"next\"')

xrotwang

"""
Python 2.7 script to determine WWF Ecoregions in which a given species has been observed.

Assumes you have downloaded the WWF Ecoregions shapefile.

Usage:

    $ python ecoregions_for_species.py "Ursus maritimus"
    PA1101 Arctic desert
    NA0616 Southern Hudson Bay taiga

xrotwang

import json

from sqlalchemy import not_
from sqlalchemy.orm import joinedload

from clld.scripts.util import parsed_args
from clld.db.meta import DBSession

from glottolog3.models import Ref, Doctype, Languoid, Provider