Pydantic models for HiGlass
Project description
higlass-schema
Pydantic models for HiGlass
pip install higlass-schema
🚧 👷
Development
Try it out:
$ uvx --no-cache --from . higlass-schema check ./example.json # [--verbose]
$ uvx --no-cache --from . higlass-schema export # prints JSON schema to stdout
Testing, linting, & formatting are enforced in CI. Locally, you can run:
uv run pytest # tests
uv run ruff check # linting
uv run ruff format --check # formatting (remove --check to apply)
Release
git tag -a v0.0.0 -m "v0.0.0"
git push --follow-tags
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
higlass_schema-0.2.0.tar.gz
(66.4 kB
view details)
Built Distribution
File details
Details for the file higlass_schema-0.2.0.tar.gz
.
File metadata
- Download URL: higlass_schema-0.2.0.tar.gz
- Upload date:
- Size: 66.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 39cee0af708b6f4a3dd5ef0a4d230d8693bd95289efc700c57c5561c90b987c1 |
|
MD5 | e91abf9f8da5791b10c9e4bf99e39bb0 |
|
BLAKE2b-256 | e9884daee43b89395a10ab8c3f772891f23ef5b65825738d3392872761e7aa7b |
File details
Details for the file higlass_schema-0.2.0-py3-none-any.whl
.
File metadata
- Download URL: higlass_schema-0.2.0-py3-none-any.whl
- Upload date:
- Size: 8.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | d1d32b4703782492c03769bb0c82b7e13c4657cb67b58fd8419bcddc08a2327c |
|
MD5 | 35e2198877546e5fe5a509c951e2f96a |
|
BLAKE2b-256 | bb804b392e63e7c7a76878bbce476d65db0059ea4afa1e0d7f03047c9b3e7c5e |