Skip to main content

A library for easy mapping of mathematical specifications.

Project description

MSML

What is the Mathematical Specification Mapping Library (MSML)?

MSML is a library for standardizing the creation of mathematical specifications as JSON objects as well as aiding in the automation of report and visualization creation from these standardized JSON.

Why MSML?

Through lived experience of writing specs, it was discovered that the process can be very difficult. It is especially tough when coordinating between groups of stakeholders. For example, if a variable name that is referenced in multiple charts and pieces of the spec is changed, someone needs to go through to both find and revise the name.

As well, there are times when you want a fully zoomed out view, and other times where you want a view on only a specific few pieces of the system. Without MSML, one would have to either duplicate work to show the system in two ways, or decide which way is the better representation. MSML allows for on the fly writing of reports multiple different ways depending on what is important to highlight.

What are some of the solutions offered?

  • Automation: Automate writing of a specification
  • Standardization: Ensure standardization across teams working to spec out a system
  • Flexibility: Allow for creating views on the fly and in multiple ways depending on what stakeholders find important
  • Trackable: Keep a repository of a JSON file to track changes to the spec with the same enhancements git provides for projects already

How does MSML work?

graph TD
A[JSON Object \n\n Each spec has a repo for tracking changes \n Must conform to the json specification \n Defines all aspects of the spec including blocks, spaces and actions] -->B[MSML Object \n\n JSON file and parsed, with validations and mappings along the way \n Can show different views on the fly]
    B --> C[Report Outputs \n\n Automatically build reports for the full spec or subviews \n Example: all blocks with an effect on variable XYZ]

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

math_spec_mapping-0.1.2.tar.gz (16.6 kB view details)

Uploaded Source

Built Distribution

math_spec_mapping-0.1.2-py3-none-any.whl (27.1 kB view details)

Uploaded Python 3

File details

Details for the file math_spec_mapping-0.1.2.tar.gz.

File metadata

  • Download URL: math_spec_mapping-0.1.2.tar.gz
  • Upload date:
  • Size: 16.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.12

File hashes

Hashes for math_spec_mapping-0.1.2.tar.gz
Algorithm Hash digest
SHA256 08a65506f60ecd8ad868d086070021dad2852c258883e859997709866c69af6f
MD5 0a20e79c2fee1960bf22a3967f9a12d7
BLAKE2b-256 13299240f8c2c248b0e45014cba0ca85aab9f21a3b0055df1cefe80e2639f50a

See more details on using hashes here.

File details

Details for the file math_spec_mapping-0.1.2-py3-none-any.whl.

File metadata

File hashes

Hashes for math_spec_mapping-0.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 120c69ee0aecc691500d70a6795ef45a11e01679637bee81497688e66d06ab36
MD5 40ea6bdb0d7f2634847072bda2e469ce
BLAKE2b-256 dc0638a1017c58c0ae230d5b9b143faf4bf3838caf0f5ad48de6d35eaa5ff85f

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page