Mike Gerwitz
646633883f
This begins to place expressions on the graph---something that I've been
thinking about for a couple of years now, so it's interesting to finally be
doing it.
This is going to evolve; I want to get some things committed so that it's
clear how I'm moving forward. The ASG makes things a bit awkward for a
number of reasons:
1. I'm dealing with older code where I had a different model of doing
things;
2. It's mutable, rather than the mostly-functional lowering pipeline;
3. We're dealing with an aggregate ever-evolving blob of data (the graph)
rather than a stream of tokens; and
4. We don't have as many type guarantees.
I've shown with the lowering pipeline that I'm able to take a mutable
reference and convert it into something that's both functional and
performant, where I remove it from its container (an `Option`), create a new
version of it, and place it back. Rust is able to optimize away the memcpys
and such and just directly manipulate the underlying value, which is often a
register with all of the inlining.
_But_ this is a different scenario now. The lowering pipeline has a narrow
context. The graph has to keep hitting memory. So we'll see how this
goes. But it's most important to get this working and measure how it
performs; I'm not trying to prematurely optimize. My attempts right now are
for the way that I wish to develop.
Speaking to #4 above, it also sucks that I'm not able to type the
relationships between nodes on the graph. Rather, it's not that I _can't_,
but a project to created a typed graph library is beyond the scope of this
work and would take far too much time. I'll leave that to a personal,
non-work project. Instead, I'm going to have to narrow the type any time
the graph is accessed. And while that sucks, I'm going to do my best to
encapsulate those details to make it as seamless as possible API-wise. The
performance hit of performing the narrowing I'm hoping will be very small
relative to all the business logic going on (a single cache miss is bound to
be far more expensive than many narrowings which are just integer
comparisons and branching)...but we'll see. Introducing branching sucks,
but branch prediction is pretty damn good in modern CPUs.
DEV-13160
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| bin | ||
| build-aux | ||
| core | ||
| design/tpl | ||
| doc | ||
| progtest | ||
| rater | ||
| src | ||
| tamer | ||
| test | ||
| tools | ||
| .gitignore | ||
| .gitlab-ci.yml | ||
| .gitmodules | ||
| .rev-xmle | ||
| .rev-xmlo | ||
| COPYING | ||
| COPYING.FDL | ||
| HACKING | ||
| Makefile.am | ||
| README.md | ||
| RELEASES.md | ||
| VERSION.in | ||
| bootstrap | ||
| c1map.xsd | ||
| configure.ac | ||
| package-lock.json | ||
README.md
TAME
TAME is The Algebraic Metalanguage, a programming language and system of tools designed to aid in the development, understanding, and maintenance of systems performing numerous calculations on a complex graph of dependencies, conditions, and a large number of inputs.
This system was developed at Ryan Specialty Group (formerly LoVullo Associates) to handle the complexity of comparative insurance rating systems. It is a domain-specific language (DSL) that itself encourages, through the use of templates, the creation of sub-DSLs. TAME itself is at heart a calculator—processing only numerical input and output—driven by quantifiers as predicates. Calculations and quantifiers are written declaratively without concern for order of execution.
The system has powerful dependency resolution and data flow capabilities.
TAME consists of a macro processor (implementing a metalanguage), numerous compilers for various targets (JavaScript, HTML documentation and debugging environment, LaTeX, and others), linkers, and supporting tools. The input grammar is XML, and the majority of the project (including the macro processor, compilers, and linkers) is written in a combination of XSLT and Rust.
TAMER
Due to performance requirements, this project is currently being reimplemented in Rust. That project can be found in the tamer/ directory.
Documentation
Compiled documentation for the latest release is available via our GitLab mirror, which uses the same build pipeline as we do on our internal GitLab instance. Available formats are:
Getting Started
To get started, make sure Saxon version 9 or later is available and its path
set as SAXON_CP; that the path to hoxsl is set via HOXSL; and then run
the bootstrap script:
$ export SAXON_CP=/path/to/saxon9he.jar
$ export HOXSL=/path/to/hoxsl/root
$ ./boostrap
Running Test Cases
To run the test cases, invoke make check (or its alias, make test).
Testing Core Features
In order to run tests located at core/test/core/**, a supporting environment
is required. (e.g. mega rater). Inside a supporting rater, either check out a
submodule containing the core tests, or temporarily add them into the
submodule.
Build the core test suite summary page using:
$ make rater/core/test/core/suite.html
Visit the summary page in a web browser and click the Calculate Premium button. If all test cases pass, it will yield a value of $1.
Hacking
Information for TAME developers can be found in the file HACKING.
License
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.