Skip to main content

Predictable Operable HaSH-based identifiers

Project description

test codecov pypi Python version license: GPL v3

DOI arXiv API documentation Manual Downloads PyPI - Downloads

hosh - Identification based on group theory

Website | Latest Release | Current Code | API Documentation

This Python library / code provides a reference implementation for the UT*.4 specification presented here. A previous version, containing extra group theory content, is available in the package GaROUPa.

Please see the website for more detailed usage information.

We adopt a novel paradigm to universally unique identification (UUID), making identifiers deterministic and predictable, even before an object is generated by a (possibly costly) process.
Here, data versioning and composition of processing steps are directly mapped as simple operations over identifiers. We call each of the latter a Hosh, i.e., an identifier is an operable hash.

A first implementation of the remaining ideas from the paper is provided in this cacheable lazy dict which depends on hosh and serves as an advanced usage example.
A second (entirely rewritten) version is available in the package idict, succeeded by hoshmap. The most recent rewritten version of a hosh-based dict (and the most robust, recommended, one) is available in the package hdict.


A product of identifiers produces a new identifier as shown below, where sequences of bytes (b"...") are passed to simulate binary objects to be hashed.

img.png New identifiers are easily
created from the identity
element ø. Also available as identity for people
or systems allergic to
utf-8 encoding.
img_1.png Operations can be reverted by the inverse of the identifier.
img_2.png Operations are associative.
They are order-sensitive by default,
in which case they are called ordered ids.
However, order-insensitive (called unordered) and order-insensitive-among-themselves (called hybrid) identifiers are also available. .
img_3.png .
This is how they affect each other: .
img_4.png .

The chance of collision is determined by the number of possible identifiers of each type. Some versions are provided, e.g.: UT32.4, UT40.4 (default), UT64.4. They can be easily implemented in other languages and are intended to be a specification on how to identify multi-valued objects and multi-step processes. Unordered ids use a very narrow range of the total number of identifiers. This is not a problem as they are not very useful.

One use for unordered ids could be the embedding of authorship or other metadata into an object without worrying about the timing, since the resulting id will remain the same, no matter when the unordered id is operated with the id of the object under construction. .
img_5.png .

Conversely, hybrid ids are excelent to represent values in a data structure like a map, since the order is not relevant when the consumer process looks up for keys, not indexes. Converselly, a chain of a data processing functions usually implies one step is dependent on the result of the previous step. This makes ordered ids the perfect fit to identify functions (and also their composition, as a consequence).

Relationships can also be represented

Here is another possible use. ORCIDs are managed unique identifiers for researchers. They can be directly used as digests to create operable identifiers. We recommend the use of 40 digits to allow operations with SHA-1 hashes. They are common in version control repositories among other uses. img_orcid.png

Unordered relationships are represented by hybrid ids. Automatic transparent conversion between ORCID dashes by a hexdecimal character can be implemented in the future if needed. img_orcid-comm.png

More info

Aside from the paper, PyPI package and GitHub repository, one can find more information, at a higher level application perspective, in this presentation: image A lower level perspective is provided in the API documentation.

Python installation

from package

# Set up a virtualenv. 
python3 -m venv venv
source venv/bin/activate

# Install from PyPI
pip install hosh

from source

git clone
cd hosh
poetry install


Some usage examples.

Basic operations

from hosh import Hosh, ø  # ø is a shortcut for identity (AltGr+O in most keyboards)

# Hoshes (operable hash-based elements) can be multiplied.
a = Hosh(content=b"Some large binary content...")
b = Hosh(content=b"Some other binary content. Might be, e.g., an action or another large content.")
c = a * b
print(f"{a} * {b} = {c}")
8CG9so9N1nQ59uNO8HGYcZ4ExQW5Haw4mErvw8m8 * 7N-L-10JS-H5DN0-BXW2e5ENWFQFVWswyz39t8s9 = z3EgxfisgqbNXBd0eqDuFiaTblBLA5ZAUbvEZgOh
# Multiplication can be reverted by the inverse hosh. Zero is the identity hosh.
print(f"{b} * {~b} = {b * ~b} = 0")
7N-L-10JS-H5DN0-BXW2e5ENWFQFVWswyz39t8s9 * Q6OjmYZSJ8pB3ogBVMKBOxVp-oZ80czvtUrSyTzS = 0000000000000000000000000000000000000000 = 0
print(f"{b} * {ø} = {b * ø} = b")
7N-L-10JS-H5DN0-BXW2e5ENWFQFVWswyz39t8s9 * 0000000000000000000000000000000000000000 = 7N-L-10JS-H5DN0-BXW2e5ENWFQFVWswyz39t8s9 = b
print(f"{c} * {~b} = {c * ~b} = {a} = a")
z3EgxfisgqbNXBd0eqDuFiaTblBLA5ZAUbvEZgOh * Q6OjmYZSJ8pB3ogBVMKBOxVp-oZ80czvtUrSyTzS = 8CG9so9N1nQ59uNO8HGYcZ4ExQW5Haw4mErvw8m8 = 8CG9so9N1nQ59uNO8HGYcZ4ExQW5Haw4mErvw8m8 = a
print(f"{~a} * {c} = {~a * c} = {b} = b")
RNvSdLI-5RiBBGL8NekctiQofWUIeYvXFP3wvTFT * z3EgxfisgqbNXBd0eqDuFiaTblBLA5ZAUbvEZgOh = 7N-L-10JS-H5DN0-BXW2e5ENWFQFVWswyz39t8s9 = 7N-L-10JS-H5DN0-BXW2e5ENWFQFVWswyz39t8s9 = b
# Division is shorthand for reversion.
print(f"{c} / {b} = {c / b} = a")
z3EgxfisgqbNXBd0eqDuFiaTblBLA5ZAUbvEZgOh / 7N-L-10JS-H5DN0-BXW2e5ENWFQFVWswyz39t8s9 = 8CG9so9N1nQ59uNO8HGYcZ4ExQW5Haw4mErvw8m8 = a
# Hosh multiplication is not expected to be commutative.
print(f"{a * b} != {b * a}")
z3EgxfisgqbNXBd0eqDuFiaTblBLA5ZAUbvEZgOh != wwSd0LaGvuV0W-yEOfgB-yVBMlNLA5ZAUbvEZgOh
# Hosh multiplication is associative.
print(f"{a * (b * c)} = {(a * b) * c}")
RuTcC4ZIr0Y1QLzYmytPRc087a8cbbW9Nj-gXxAz = RuTcC4ZIr0Y1QLzYmytPRc087a8cbbW9Nj-gXxAz


Computation time for the simple operations performed by hosh can be considered negligible for most applications, since the order of magnitude of creating and operating identifiers is around a few μs: img_6.png The package hoshrust was a faster implementation of an earlier version of hosh. As the performance of the current hosh seems already very high (only ~2x slower than if it was implemented in native code in like rust), we don't have plans for a new 'rust' implementation in the near future.


This work was partially supported by Fapesp under supervision of Prof. André C. P. L. F. de Carvalho at CEPID-CeMEAI (Grants 2013/07375-0 – 2019/01735-0).

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

hosh-3.230705.5.tar.gz (45.5 kB view hashes)

Uploaded Source

Built Distribution

hosh-3.230705.5-py3-none-any.whl (54.2 kB view hashes)

Uploaded Python 3

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