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generate.py
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generate.py
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###############################################################################
## Frenchies, a NewGRF for generating French-sounding town names ##
###############################################################################
#
# Copyright © 2022 Julien Lepiller
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#
from grf.grf import GRF, Header, TownNames, TownName, TownReference, TownString, Blank
import re
grf = GRF("frenchies-town-names.grf")
## Strings and metadata
DESCRIPTIONS = {
'en': "The game only provides a limited amount of French city names. \
Other NewGRFs provide city names from a list of existing cities. That's \
boring. This NewGRF provides generated fake French-sounding yet amusing city \
names for all your OpenTTD games!",
'fr': "Le jeu fournit un nombre limité de ville françaises. Les autres \
NewGRF proposent des noms tirés dans une liste de villes existantes. C’est \
pas drôle. Ce NewGRF propose des noms de villes amusants à consonnance \
française générés aléatoirement pour toutes vos parties d’OpenTTD !",
}
NAME = "Frenchies Town Names"
grf.actions.append(Header({'en': NAME}, DESCRIPTIONS,
'https://github.com/roptat/frenchies-town-names', 1, 0, b'Rop\x01'))
#
# NML is usually the format used for writing NewGRFs, but it is too limited
# for town_names and what I want to do here.
#
# I initially tried to write an NML file with all the possibilities but it took
# ages to load, and now I know it would have failed. Due to format constraints,
# it's not possible to have more than 255 strings per part, and although you
# can refer to other parts in order to increase the number of possibilities,
# the number of parts in a GRF is limited to 128, so you can have at most
# somewhere around 32,000 strings.
#
# Next, I tried to split parts a little, so instead of having a huge list of
# millions of entries, I had a few lists to combine to generate a name (essentially,
# a list would give a city name, another would give extensions).
#
# However, I still had to reduce the number of names because this time, each part
# took too much entropy.
#
# If you don't know, city names in OpenTTD are actually not strings, but a randomly
# chosen 32-bits number. The NML compiler, nmlc, seems to assign a region of this
# number (certain bits) to each part, and refuses to overlap any region.
#
# Yet, some parts would never be generated together, as when a part is used
# to chose between different options, these options can never occur at the same
# time in a generated name, that's the point of chosing one of them. So they can
# perfectly use the same region of the random number.
#
# Also, it kept complaining it needed too much entropy, and even gave bigger
# numbers after I tried to remove some possibilities, which doesn't make any
# sense.
#
# In the end, I came up with this design where I can control precisely which
# bits are used for which parts. Although I agree with nmlc that I need too much
# entropy to generate all possibilities, this is actually *on purpose*. More on
# that later ;)
# French town names can be split into three categories.
# - "Saint": many cities are dedicated to a local saint. The city name is composed
# of a main part, that is the name of a saint such as "Saint-Jean" and an
# extension (we'll see that in a bit). Also, some common city name starts
# that are actual words are taken into account here ("La Chapelle", etc.)
# - "Anthro": the majority of cities were named after someone, such as the
# person who lived there, a famous person, etc. Usually, adding a suffix to
# the person's name was enough to create a city name. After some time, the
# name evolved to the current form where it is a bit hard to recognize the
# initial name.
# - "Germanic": cities that were founded after the roman empire used a slightly
# different method for naming cities. Many cities were named after a characteristic,
# a geographical, political or economical feature. That's how we get cities
# like "Neufchâtel", litteral "Newcastle" :)
#
# To distinguish two cities that have the same name, some cities have an extension.
# In this GRF, "saint" cities always have an extension, although that is not
# always the case in reality, but it is the vast majority of them.
#
# An extension is often composed of a preposition ("en", "sur", "de", "sous", etc.)
# and another main part, that is either a geographical feature, or another name.
#
# In this GRF, I generate extensions from a small list of common extensions
# such as "sur-mer", "sous-bois", etc. In addition, three extensions add more
# possibilities:
# - a *toponym* is introduced by "à", "au", "derrière", "devant", "sous", "près",
# "lès", "lez", "dit", "et" ou "ez" in reality, but we are limiting the
# possibilities a bit, since some are very rare. These prepositions are
# followed by a secondary town name, generated in a similar fashion, but
# using a different set of bits, and with no extension (to keep them somewhat
# short).
# - a *regionym* (this is a made-up word) is introduced by "à", "d'", "de", "del",
# "dels", "des", "en". Again, we limit the possibilities so as to not generate
# uncommon or akward names.
# - a *hydronym* is introduced by "sur".
#
# To select an extension, I first select whether an extension will be used (one in 32
# chance), then I choose in a list of common extensions or one of the three cases
# above.
#
# To generate a name, we start by selecting the style of the name between the
# "anthro", "saint" and "germanic" patterns. Since "anthro" names sound better,
# the choice is biased in its favor. Then, an optional extension can be generated.
# For "saint" pattern, the extension is mandatory.
#
# ,---> (saint) -----------------------.
# | |
# (start) ---> name type +---> (germanic) --+-> extension? ---+--> (extension)
# | |
# `---> (anthro) ----´
#
# For "saint", we simply chose from a small list of common names.
#
# (start) ---> saint (6 bits) ---> (end)
#
# For "germanic", we use a similar technique to the German names in the game.
# We simply pick through a list of existing names, or concatenate two parts.
# Because of orthography rules, there are actually multiple such lists:
# masculin or feminin, with adjective or noun first.
#
# ,---> first part ---> second part --.
# | |
# +---> first part ---> second part --+
# (start) ---> type --+ +---> (end)
# +---> first part ---> second part --+
# | |
# `---> first part ---> second part --´
#
# For "anthro", the name is split in multiple parts, similar to the original
# English names, but with more choices and additional possibilities.
#
# A first list generates up to a first consonant. A second list generates the
# next vowel and an optional coda (ending "n", "s" or "r").
# Then, it generates an optionnal consonnant and adds a suffix from one of
# two lists, depending on whether a consonant was generated last, and whether
# there was a coda:
#
# ,---> single or double consonnant ---.
# | |
# ,--> single vowel -----> end type ---+ |
# | \ |
# (start) --> first consonnant ---> type --+ >--> consonnant ending ---> (end) +----> vowel ending ---> (end)
# | / |
# `--> vowel with coda --> end type ---+ |
# | |
# `---> single consonnant -------------´
#
# If we let the default NML program generate the GRF for us in that way, we
# would most likely generate very similar names. For instance, we could end up
# with Brinay, Brinac, Briné, Brinay, Brinan, etc in the same save. It would make
# towns difficult to distinguish and difficult to play with (although it is not
# that rare to have similar town names in France).
#
# The main reason for these close names seems to be that I have a lot of
# possibilities in each part, which means we can generate the same parts with
# *a lot* of endings. To prevent that, the idea is to *purposefully* re-use
# entropy bits from other parts. I told you we would talk about that soon :).
#
# Consider a simple case where we generate a name from two parts, with say 64
# possibilities each. The default NML program will ensure these parts are generated
# from disjoint bits. This means we maximize the number of possible names (64*64).
# However, it also means we could generate 64 times the same first part.
#
# To prevent that, this code allows overlapping random bits for different parts.
# So this time, we generate the first part from the list of 64 possiblities,
# but if we reuse all but two bits for generating the second part, this means
# we can only generate 4 different second parts for a given first part. This
# means we can only generate 64*4 names, but this also ensures the names are
# more diverse.
#
# Of course, each second part can still be generated, just not with any first
# part, which brings a lot of variety, while diminishing the number of very
# similar and hard to distinguish names.
#
# After generating the main part of the town name, we continue with an optional
# extension. We use 7 fresh bits to select whether an extension is going to be
# used at all. The type of extension is chosen from these bits, between "toponym",
# "hydronym", "regionym" and "common":
#
# +----------------+
# | |
# +--> hydronym ---+
# (start) ---> extension type ---+ +---> (end)
# +--> regionym ---+
# | |
# +--> common -----+
#
# "common" extensions are chosen from a small list:
#
# (start) ---> common list ---> (end)
#
# "toponym" first chose whether to generate a name starting with a vowel or a
# consonant, the preposition to use from a small list, then generates a name
# using the "anthro" method, with the same lists, but using a different set
# of random bits.
#
# ,--> consonnant end ------------.
# | |
# (start) --> preposition --> first --> vowel --> end type --+ +---> (end)
# | |
# `--> consonnant --> vowel end --´
#
# "hydronym" and "regionym" work similarly, but using different lists, so we
# can have even more variety.
#
# So, we need to use fresh bits for hydronyms, toponyms and regionyms. Unfortunately,
# we cannot fit all these in fresh bits, and we have to cheat a little by reusing
# *unintentionnaly* bits from the previous parts. This means that a city name can
# only be followed by the generic extensions, or by a limited number of custom
# extensions, even though again, all extensions can be chosen, just not with any
# city name.
# These names are taken from actual data found in the official list of towns
# provided by Insee in "Code Officiel Géographique" from January 2022.
# You can get the CSV from https://www.insee.fr/fr/information/6051727
#
# I extracted all city names that start with "SAINT" and sorted them by order
# of frequency. In the list below, "Saint-*" appear at least 50 times in the
# list. "Sainte-*" appear at least 5 times.
#
# I added "Notre-Dame" and "La Trinité" which are similar in spirit and appear
# respectively 49 and 8 times.
#
# I also added some common town names that start with La, Le or Les and is
# followed by an extension (only if the appear more than 10 times).
saints = TownName(12, 'saints', None, [[
TownString("Saint-Ouen"),
TownString("Saint-Sulpice"),
TownString("Saint-Cyr"),
TownString("Saint-Christophe"),
TownString("Saint-Sauveur"),
TownString("Saint-Bonnet"),
TownString("Saint-Rémy"),
TownString("Saint-Vincent"),
TownString("Saint-Denis"),
TownString("Saint-Léger"),
TownString("Saint-Maurice"),
TownString("Saint-Michel"),
TownString("Saint-Paul"),
TownString("Saint-Aubin"),
TownString("Saint-Andre"),
TownString("Saint-Etienne"),
TownString("Saint-Georges"),
TownString("Saint-Hilaire"),
TownString("Saint-Julien"),
TownString("Saint-Laurent"),
TownString("Saint-Germain"),
TownString("Saint-Pierre"),
TownString("Saint-Jean"),
TownString("Saint-Martin"),
TownString("Sainte-Suzanne"),
TownString("Sainte-Cécile"),
TownString("Sainte-Marguerite"),
TownString("Sainte-Geneviève"),
TownString("Sainte-Hélene"),
TownString("Sainte-Radegonde"),
TownString("Sainte-Anne"),
TownString("Sainte-Eulalie"),
TownString("Sainte-Gemme"),
TownString("Sainte-Foy"),
TownString("Sainte-Croix"),
TownString("Sainte-Colombe"),
TownString("Sainte-Marie"),
TownString("Notre-Dame"),
TownString("La Trinité"),
TownString("La Forêt"),
TownString("La Lande"),
TownString("La Boissière"),
TownString("La Ferrière"),
TownString("La Trinité"),
TownString("Le Val"),
TownString("Le Pin"),
TownString("La Bastide"),
TownString("La Croix"),
TownString("La Celle"),
TownString("La Motte"),
TownString("La Haye"),
TownString("Le Plessis"),
TownString("La Neuville"),
TownString("La Ferté"),
TownString("La Roche"),
TownString("Le Mesnil"),
TownString("La Chapelle"),
TownString("Les Loges"),
], [
TownReference('ending')
]])
# A germanic name is composed of a noun and an adjective. We have to consider
# multiple cases. First, there are two orders of adjective and noun.
# Then, some words can only be found north of France, while others are from
# south of France (oil and oc languages). Then, the second part must match
# the orthography of the first part. We have:
#
# n-adj or adj-n
# consonnant or vowel (the start of the second part)
# fem or masc
#
# For now, we don't generate specifically oc names, since I could only find
# "Castelnau" and "Puy". We simply skip oc specific parts.
#
# TODO: It would be good to extend these lists a little bit, to be able to generate
# more interesting names.
germanic_n_adj_c_masc = TownName(5, 'germanic_n_adj_consonnant_masc', None, [[
TownString("Bourg"),
TownString("Bois"),
TownString("Château"),
TownString("Châtel"),
TownString("Mont"),
TownString("Champ"),
TownString("Roque"),
TownString("Roc"),
TownString("Val"),
], [
TownString("brun"),
TownString("blanc"),
TownString("vert"),
TownString("neuf"),
TownString("chaud"),
TownString("fort"),
TownString("bel"),
TownString("vif"),
TownString("franc"),
TownString("vieux"),
TownString("villain"),
TownString("dolent"),
TownString("dor"),
TownString("doux"),
]])
germanic_n_adj_c_fem = TownName(5, 'germanic_n_adj_consonnant_fem', None, [[
TownString("Ville"),
TownString("Roche"),
TownString("Chapelle"), # Not a real one, but sounds nice
TownString("Fontaine"),
TownString("Croix"), # Not a real one but sounds nice
TownString("Cour"),
TownString("Maison"),
TownString("Pierre"),
], [
TownString("neuve"),
TownString("nouvelle"),
TownString("franche"),
TownString("dolente"),
TownString("verte"),
TownString("blanche"),
TownString("brune"),
TownString("dor"),
TownString("forte"),
TownString("longue"),
]])
# germanic_n_adj_vowel* seems extremely rare, so not generated
germanic_adj_n_c_masc = TownName(5, 'germanic_adj_n_consonnant_masc', None, [[
TownString("Beau"),
TownString("Bel"),
TownString("Blanc"),
TownString("Neu"),
TownString("Neuf"),
TownString("Bon"),
TownString("Clair"),
TownString("Franc"),
TownString("Grand"),
TownString("Gros"),
TownString("Haut"),
TownString("Long"),
TownString("Petit"),
TownString("Riche"),
TownString("Sal"),
TownString("Ver"),
TownString("Vieu"),
], [
TownString("champ"),
TownString("châtel"),
TownString("fort"),
TownString("lieu"),
TownString("ménil"),
TownString("mont"),
TownString("pont"),
TownString("regard"),
TownString("repaire"),
TownString("roc"),
TownString("signe"),
TownString("site"),
TownString("val"),
TownString("vallon"),
TownString("voisin"),
]])
germanic_adj_n_c_fem = TownName(5, 'germanic_adj_n_consonnant_fem', None, [[
TownString("Belle"),
TownString("Blanche"),
TownString("Neuve"),
TownString("Bonne"),
TownString("Claire"),
TownString("Franche"),
TownString("Grosse"),
TownString("Haute"),
TownString("Longue"),
TownString("Petite"),
TownString("Riche"),
TownString("Sale"),
TownString("Verte"),
], [
TownString("au"), # Since all the above end with "e", this makes "eau"
TownString("chaume"),
TownString("combe"),
TownString("fontaine"),
TownString("fosse"),
TownString("garde"),
TownString("herbe"),
TownString("vigne"),
TownString("ville"),
TownString("famille"),
TownString("foi"),
TownString("maison"),
TownString("goutte"),
TownString("feuille"),
TownString("fond"),
TownString("roche"),
TownString("rue"),
]])
germanic = TownName(3, 'germanic', {'en': 'Frenchies (germanic)'}, [[
TownReference('germanic_n_adj_consonnant_masc'),
TownReference('germanic_n_adj_consonnant_fem'),
TownReference('germanic_adj_n_consonnant_masc'),
TownReference('germanic_adj_n_consonnant_fem'),
], [
TownReference('have_ending')
]])
# We build anthroponyms in the same way as English names
vowels = [
TownString('a'),
TownString('ai'),
TownString('e'),
TownString('i'),
TownString('o'),
TownString('oi'),
TownString('ou'),
TownString('u'),
TownString('es'),
TownString('on'),
TownString('in'),
TownString('ain'),
TownString('an'),
TownString('ar'),
TownString('ur'),
]
consonnants = [
TownString('l'),
TownString('s'),
TownString('r'),
TownString('v'),
TownString('t'),
TownString('c'),
TownString('gn'),
TownString('ch'),
TownString('n'),
TownString('ss'),
TownString('ll'),
TownString('rr'),
TownString('st'),
]
anthro = TownName(3, 'anthro', {'en': 'Frenchies (latin)'}, [[
TownString('S'),
TownString('L'),
TownString('M'),
TownString('B'),
TownString('V'),
TownString('C'),
TownString('Ch'),
TownString('P'),
TownString('R'),
TownString('N'),
TownString('F'),
TownString('D'),
TownString('T'),
TownString('Br'),
TownString('Gr'),
TownString('J'),
TownString('Fr'),
TownString('Pl'),
TownString('Cr'),
TownString('Pr'),
TownString('Cl'),
TownString('Bl'),
TownString('St'),
TownString('Av'),
TownString('Am'),
], [
TownReference('vowel_then_ending'),
TownReference('coda_then_ending')
], [
TownReference('have_ending')
]])
vowel_then_ending = TownName(8, 'vowel_then_ending', None, [[
TownString('a'),
TownString('ai'),
TownString('e'),
TownString('i'),
TownString('o'),
TownString('oi'),
TownString('ou'),
TownString('u'),
], [
TownReference('consonnant_then_vowel_ending'),
TownReference('consonnant_ending'),
]])
coda_then_ending = TownName(8, 'coda_then_ending', None, [[
TownString('an'),
TownString('ain'),
TownString('es'),
TownString('in'),
TownString('on'),
TownString('ur'),
TownString('ar'),
], [
TownReference('single_consonnant_then_vowel_ending'),
TownReference('consonnant_ending'),
]])
consonnant_then_vowel_ending = TownName(12, 'consonnant_then_vowel_ending', None, [
consonnants, [
TownReference('vowel_ending')
]])
single_consonnant_then_vowel_ending = TownName(12, 'single_consonnant_then_vowel_ending', None, [
consonnants[:-4], [ # only single consonnants
TownReference('vowel_ending')
]])
# Found on https://fr.geneawiki.com/wiki/Suffixes_toponymiques
vowel_ending = TownName(11, 'vowel_ending', None, [[
TownString('ac'),
TownString('agny'),
TownString('igny'),
TownString('oigny'),
TownString('ogny'),
TownString('ailles'),
TownString('ais'),
TownString('an'),
TownString('ange'),
TownString('inge'),
TownString('onge'),
TownString('argues'),
TownString('ergues'),
TownString('orgues'),
TownString('at'),
TownString('ay'),
TownString('ayrac'),
TownString('é'),
TownString('eau'),
TownString('ec'),
TownString('èdes'),
TownString('eil'),
TownString('eix'),
TownString('ères'),
TownString('ières'),
TownString('es'),
TownString('euges'),
TownString('euil'),
TownString('euilly'),
TownString('illy'),
TownString('ouilly'),
TownString('ey'),
TownString('eyrat'),
TownString('ignac'),
TownString('itry'),
TownString('onnes'),
TownString('ois'),
TownString('ols'),
TownString('oux'),
TownString('oy'),
TownString('y'),
]])
consonnant_then_vowel_ending2 = TownName(14, 'consonnant_then_vowel_ending2', None, [
consonnants[:-4], [ # Remove double-consonnants
TownString('ac'),
TownString('at'),
TownString('as'),
TownString('an'),
TownString('ay'),
TownString('ais'),
TownString('é'),
TownString('ey'),
TownString('ez'),
TownString('y'),
TownString('is'),
TownString('iers'),
TownString('eux'),
TownString('ies'),
TownString('euil'),
TownString('ols'),
TownString('ouls'),
TownString('oc'),
TownString('elles'),
]])
consonnant_ending = TownName(3, 'consonnant_ending', None, [[
TownString('bourg'),
TownString('court'),
TownString('jouls'),
TownString('mesnil'),
TownString('mont'),
TownString('ville'),
TownString('villiers'),
TownString('villers'),
TownString('vre'),
TownString('che'),
]])
consonnant_ending2 = TownName(14, 'consonnant_ending2', None, [[
TownString('bourg'),
TownString('court'),
TownString('mesnil'),
TownString('mont'),
TownString('ville'),
TownString('villiers'),
TownString('villers'),
TownString('vre'),
TownString('che'),
]])
# Endings (-sur-mer, etc)
have_ending = TownName(27, 'have_ending', None, [[
TownReference('ending'),
TownString('', 31),
]])
common_ending = TownName(12, 'common_ending', None, [[
TownString('-sur-Mer'),
TownString('-la-Plaine'),
TownString('-les-Marais'),
TownString('-les-Moulins'),
TownString('-au-Val'),
TownString('-du-Lac'),
TownString('-en-Plaine'),
TownString('-la-Poterie'),
TownString('-le-Vicomte'),
TownString('-le-Vieil'),
TownString('-le-Duc'),
TownString('-les-Forges'),
TownString('-les-Vallées'),
TownString('-les-Vignes'),
TownString('-du-Mont'),
TownString('-la-Petite'),
TownString('-le-Franc'),
TownString('-la-Roche'),
TownString('-les-Côtes'),
TownString('-les-Eaux'),
TownString('-le-Bourg'),
TownString('-des-Prés'),
TownString('-la-Grande'),
TownString('-sous-Bois'),
TownString('-des-Landes'),
TownString('-le-Bois'),
TownString('-au-Bois'),
TownString('-au-Mont'),
TownString('-la-Côte'),
TownString('-les-Pins'),
TownString('-en-Montagne'),
TownString('-le-Comte'),
TownString('-le-Lac'),
TownString('-des-Champs'),
TownString('-la-Campagne'),
TownString('-la-Chapelle'),
TownString('-la-Montagne'),
TownString('-la-Tour'),
TownString('-le-Bas'),
TownString('-le-Roi'),
TownString('-le-Vieux'),
TownString('-la-Rivière'),
TownString('-les-Bois'),
TownString('-les-Mines'),
TownString('-des-Bois'),
TownString('-le-Haut'),
TownString('-du-Bois'),
TownString('-le-Châtel'),
TownString('-le-Petit'),
TownString('-la-Forêt'),
TownString('-le-Grand'),
TownString('-le-Sec'),
TownString('-la-Ville'),
TownString('-aux-Bois'),
TownString('-le-Château'),
TownString('-les-Bains'),
]]);
hydronym = TownName(12, 'hydronym', None, [[
TownString('-sur-')
], [
TownString('Gl'),
TownString('Ard'),
TownString('Fr'),
TownString('Pl'),
TownString('Rh'),
TownString('Arr'),
TownString('Fl'),
TownString('Ar'),
TownString('Arg'),
TownString('St'),
TownString('Bl'),
TownString('Cl'),
TownString('Cr'),
TownString('Dr'),
TownString('J'),
TownString('Tr'),
TownString('Ch'),
TownString('F'),
TownString('Br'),
TownString('Gr'),
TownString('T'),
TownString('N'),
TownString('D'),
TownString('P'),
TownString('C'),
TownString('R'),
TownString('V'),
TownString('M'),
TownString('L'),
TownString('B'),
TownString('S'),
], [
TownString('a'),
TownString('e'),
TownString('o'),
TownString('i'),
TownString('ou'),
TownString('é'),
TownString('au'),
TownString('ai'),
TownString('ô'),
TownString('eu'),
TownString('oi'),
], [
TownReference('hydronym_end_consonnant'),
TownReference('hydronym_end_vowel', 3),
]])
hydronym_end_consonnant = TownName(14, 'hydronym_end_consonnant', None, [[
TownString('ce'),
TownString('gue'),
TownString('que'),
TownString('ne'),
TownString('me'),
]])
hydronym_end_vowel = TownName(14, 'hydronym_end_vowel', None, [[
TownString('g'),
TownString('n'),
TownString('d'),
TownString('t'),
TownString('c'),
TownString('r'),
], [
TownString('ens'),
TownString('ent'),
TownString('on'),
TownString('ant'),
TownString('ance'),
TownString('ers'),
TownString('ord'),
TownString('ard'),
TownString('ert'),
TownString('ette'),
]])
regionym = TownName(12, 'regionym', None, [[
TownString('-en-'),
TownString('-à-'),
TownString('-de-')
], [
TownString('B'),
TownString('V'),
TownString('S'),
TownString('P'),
TownString('L'),
TownString('M'),
TownString('Ch'),
TownString('C'),
TownString('R'),
TownString('D'),
TownString('T'),
TownString('Br'),
], [
TownString('a'),
TownString('e'),
TownString('i'),
TownString('o'),
TownString('u'),
TownString('ou'),
TownString('au'),
TownString('ai'),
TownString('é'),
TownString('oi'),
TownString('ieu'),
TownString('â'),
], [
TownReference('regionym_end_consonnant'),
TownReference('regionym_end_vowel', 3),
]])
regionym_end_consonnant = TownName(14, 'regionym_end_consonnant', None, [[
TownString('mont'),
TownString('vent'),
TownString('ré'),
TownString('let'),
TownString('se'),
]])
regionym_end_vowel = TownName(14, 'regionym_end_vowel', None, [[
TownString('g'),
TownString('n'),
TownString('m'),
TownString('d'),
TownString('t'),
TownString('c'),
TownString('r'),
], [
TownString('ois'),
TownString('ais'),
TownString('ier'),
TownString('y'),
TownString('in'),
TownString('on'),
TownString('at'),
]])
toponym = TownName(12, 'toponym', None, [[
TownString('-', 3),
TownString('-de-', 5),
TownString('-devant-'),
TownString('-derrière-'),
TownString('-sous-'),
TownString('-près-'),
TownString('-lez-'),
TownString('-lès-'),
TownString('-et-'),
TownString('-dit-'),
], [
TownString('S'),
TownString('L'),
TownString('M'),
TownString('B'),
TownString('V'),
TownString('C'),
TownString('Ch'),
TownString('P'),
TownString('R'),
TownString('N'),
TownString('F'),
TownString('D'),
TownString('T'),
TownString('Br'),
TownString('Gr'),
TownString('J'),
TownString('Fr'),
TownString('Pl'),
TownString('Cr'),
TownString('Pr'),
TownString('Cl'),
TownString('Bl'),
TownString('St'),
], vowels, [
TownReference('consonnant_ending2', 2),
TownReference('consonnant_then_vowel_ending2'),
]])
ending = TownName(25, 'ending', None, [[
TownReference('common_ending'),
TownReference('hydronym'),
TownReference('regionym'),
TownReference('toponym'),
]])
cities = TownName(0, 'frenchies', {'en': 'Frenchies'}, [[
TownReference('saints'),
TownReference('anthro'),
TownReference('anthro'),
TownReference('germanic'),
TownReference('anthro'),
TownReference('anthro'),
TownReference('germanic'),
TownReference('anthro'),
]])
grf.actions.append(TownNames([
regionym_end_consonnant, regionym_end_vowel,
hydronym_end_consonnant, hydronym_end_vowel,
consonnant_ending2, consonnant_then_vowel_ending2,
common_ending, hydronym, regionym, toponym,
ending, have_ending,
saints,
germanic_n_adj_c_masc, germanic_n_adj_c_fem,
germanic_adj_n_c_masc, germanic_adj_n_c_fem,
germanic,
vowel_ending, consonnant_ending,
consonnant_then_vowel_ending,
single_consonnant_then_vowel_ending,
coda_then_ending, vowel_then_ending,
anthro, cities]))
grf.actions.append(Blank())
grf.output()