NML:Getting started
Vehicles, Stations, Canals, Bridges, Towns, Houses, Industries (Tiles), Cargos, Airports+Tiles, Objects, Railtypes, Roadtypes, Tramtypes, Terrain
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What is NML?
NML is a a python-based compiler, capable to compile NML files (along with their associated language, sound and graphic files) into grf and / or nfo files.
Installation
pip
If you are familiar with python and pip then you can just use
pip-3.2 install nml
This will install the required dependancies. Note that you may need administrator privileges for this to work.
Windows
Windows users can install the windows binary which contains a binary which bundles (most) required libraries.
If execution fails due to missing MSVCR libraries or due to an invalid application configuration or similar error, you need to install this package from Microsoft.
If you go for a python install and the packages themselves (e.g. mingw or msys) instead of the pre-compiled binary: Apparently you can prevent a lot of problems by installing the 32bit version of python, even if you have a 64bit windows installation. Installing PIL might be troublesome if you do install the 64bit version of python.
Linux
Users on other OS need to install them separately, best by means of their packet manager. In order to work, the following items are required:
- python
- python 3.2 or newer (for nightly builds or NML 0.4.0 or newer, earlier versions require python 2.6 or 2.7)
- downloadable from from http://www.python.org/)
- python image library
- downloadable from https://pypi.python.org/pypi/Pillow/
- ply
- downloadable from http://www.dabeaz.com/ply/
- NML itself
- the latest (nightly) build can be downloaded from https://github.com/OpenTTD/nml/tags
If you don't install these with the packet manager of your choice (or there is none like on windows and you don't use the pre-compiled binary file), you should install these libraries as well as NML itself using python setup.py install from your command prompt.
For debian or ubunutu you might try to use pip for PIL/pillow when it is not in the package manager for python3:
sudo apt-get install python3 sudo apt-get install python3-ply sudo apt-get install python3-pip sudo /usr/bin/pip-3.2 install pillow
macOS
macOS users have two choices: install the dependencies manually as described in the Linux section above, for use with the python version that ships with macOS. Or install everything from brew or macports, including a new python version (using brew or macports eases upgrading). Using a python virtualenv for nml is optional, but recommended.
Installing manually (any system)
We assume that you have a python setup (2.6 ... 2.7) where the distutils are available so that setup.py can be executed. You'll additionally need a gcc compiler in your path. On linux it is strongly recommended to use your package manager to install these packages.
Install PLY
This is easy. Get the library from the link as mentioned above. Install it from the unpacked PLY directory via
sudo python setup.py install
Install the Python Imaging Library (PIL)
Get the library from the above mentioned link (the source kit for PIL 1.1.7). From the PIL source directory, test the setup for all available dependencies:
python setup.py build_ext -i
You should get an output like which concludes with a summary of the available dependencies:
PIL 1.1.7 SETUP SUMMARY -------------------------------------------------------------------- --- TKINTER support available --- JPEG support available --- ZLIB (PNG/ZIP) support available --- FREETYPE2 support available --- LITTLECMS support available --------------------------------------------------------------------
If you're missing zlib or jpeg support, install those libraries, too.
If that build shows everything available, test the setup:
python selftest.py
A successful selftest will result in
-------------------------------------------------------------------- PIL 1.1.7 TEST SUMMARY -------------------------------------------------------------------- Python modules loaded from ./PIL Binary modules loaded from ./PIL -------------------------------------------------------------------- --- PIL CORE support ok --- TKINTER support ok --- JPEG support ok --- ZLIB (PNG/ZIP) support ok --- FREETYPE2 support ok --- LITTLECMS support ok -------------------------------------------------------------------- Running selftest: --- 57 tests passed.
If all is successful, finally install the library:
sudo python setup.py install
Install NML
Now, that you have installed ply and pil, then you can install NML from the unpacked nml directory:
sudo python setup.py install
Testing the installation
To verify that everything is installed, enter nmlc --version in your command line. This should output the version of NML as well as the version of the installed libraries.
Examples for small NML "projects" are found in the examples and regression folder of NML. Generally it's assumed that the language files are in a separate language folder lang, thus a simple project may look like this:
mynewgrf.nml graphics.png funny_sound.wav lang/english.lng
The compiler itself nmlc is a command line tool and can take a number of parameters, at least the nml filename which it shall process, e.g. nmlc mynewgrf.nml will compile your nml file into the grf-file mynewgrf.grf.
The full syntax is:
Usage: nmlc [options] <filename> Where <filename> is the nml file to parse
Options:
--version show program's version number and exit
-h, --help show this help message and exit
-d, --debug write the AST to stdout
-s, --stack Dump stack when an error occurs
--grf=<file> write the resulting grf to <file>
--md5=<file> Write an md5sum of the resulting grf to <file>
--nfo=<file> write nfo output to <file>
-M output a rule suitable for make describing the
graphics dependencies of the main grf file (requires
input file or --grf)
--MF=<file> When used with -M, specifies a file to write the
dependencies to
--MT=<file> target of the rule emitted by dependency generation
(requires -M)
-c crop extraneous transparent blue from real sprites
-u save uncompressed data in the grf file
--nml=<file> write optimized nml to <file>
-o <file>, --output=<file>
write output(nfo/grf) to <file>
-t <file>, --custom-tags=<file>
Load custom tags from <file> [default:
custom_tags.txt]
-l <dir>, --lang-dir=<dir>
Load language files from directory <dir> [default:
lang]
--default-lang=<file>
The default language is stored in <file> [default:
english.lng]
--start-sprite=<num> Set the first sprite number to write (do not use
except when you output nfo that you want to include in
other files)
-p <palette>, --palette=<palette>
Force nml to use the palette <pal> [default: ANY].
Valid values are 'DEFAULT', 'LEGACY', 'ANY'
--quiet Disable all warnings. Errors will be printed normally.
-n, --no-cache Disable caching of sprites in .cache[index] files,
which may reduce compilation time.
Syntax highlighting
For some editors a matching syntax highlighting file is generated for each build of NML:
For a few editors there exist syntax highlighting rules, made at a certain point, see the DevZone documents for details. These files might be more or less outdated and not support the full syntax of NML:
Please make available to us any updates you might have made. If you want the highlighting files automatically generated for your editor, we'll happily accept patches. See here for the existing generation scripts.
