Code repository for master thesis about example-driven DSML design http://msdl.cs.mcgill.ca/people/lucas

Yentl Van Tendeloo 5133d6711f Added new file for documentation преди 8 години
bootstrap 338de6eadf Updated generate_bottom_type_mapping function преди 8 години
doc 5133d6711f Added new file for documentation преди 8 години
hybrid_server cf33fbed38 Use interruptable_sleep as an option преди 8 години
integration 71a50aa4ac Fix minor parts for the tests to succeed преди 8 години
interface db20d1b2ac Fixed HUTN compiler tests with new declaration/define преди 8 години
kernel c3d41a52d5 Stripped down failing tests from the MvK: many primitives were removed преди 8 години
model b2f0bc0469 Naively changed user to task in all files преди 8 години
models 71cb0ffac6 Added different scopes: narrow, broad, and local преди 8 години
scripts d858c7589d Fix SCCD class deletions преди 8 години
state a8117802fb Fixed Modelverse input, partially by disabling the JIT on the input function преди 8 години
wrappers 7c990e9f0a Add new function to implement: change username преди 8 години
.gitattributes b3d374390d Make .gz files merge properly преди 8 години
.gitignore cc7e5822aa Merge remote-tracking branch 'upstream/master' into jit преди 8 години
README.md 592282cbcf Massive cleanup преди 8 години
sum_times.py 3251920000 Added notion of tottime and cumtime преди 8 години

README.md

Installation

Installing the Modelverse is unnecessary, as it is mere Python code and doesn't use installation scripts. All scripts which are generally useful are found in the 'scripts' directory, and are written in OS-independent Python code.

You will, however, need to install a dependency: the SCCD compiler and runtime.

Starting up the Modelverse

Starting up the Modelverse is easy: simply execute the scripts/run_local_modelverse.py script, with as parameter the port you want to use. By default, port 8001 is used.

Communicating with the Modelverse

Now that the Modelverse is running, you will want to communicate with it! To do this, you can use whatever tool you want, as long as it can send and receive XML/HTTPRequests. For example, a mere internet browser can already communicate with the Modelverse, though not in the most user-friendly way.

A nicer way is through the Python prompt script scripts/prompt.py. After that, it will print out all the output of the Modelverse, and send in all your queries directly to the Modelverse.

Python wrapper

To automatically communicate with the Modelverse in a programmatic way, a Python wrapper is provided. This wrapper is found in wrappers/modelverse.py, and provides Python functions that make the necessary Modelverse requests. At the moment, not all functions are implemented in the wrapper yet.

Performance

Performance of the Modelverse is currently rather low. This is primarily caused by the reliance on the action language, which is an explicitly modelled (and interpreted) language. Additionally, the Modelverse runs remotely, meaning that all requests have to pass over the network. Even when this is executed on the same machine, this causes quite some overhead.

Additional documentation

Some additional documentation can be found online in the Modelverse techreport, describing the internal workings of the Modelverse, as well as a brief introduction on how to use it. There is also in-depth documentation describing how to use the Modelverse and its various languages.

Tests

Running the tests is easy: simply execute scripts/run_tests.py in the main modelverse folder. This will invoke the necessary build commands (to create bootstrapping code etc.) and call the tests for each individual aspect of the Modelverse. Note that testing is done using py.test, which is the only dependency of the Modelverse (and only for tests, of course).

Using PyPy

Since all scripts chain the invocation with the same interpreter as originally invoking the script, you will need to install py.test for PyPy. Assuming that you already have PyPy installed, you can simply install py.test using these commands:

wget https://msdl.uantwerpen.be/files/get-pip.py
pypy get-pip.py --user
pypy -m pip install pytest --user

From then on, you can simply invoke all tests in PyPy using:

pypy scripts/run_tests.py