pyproject.toml

[build-system]
requires = ["setuptools", "wheel"]

[project]
name = "hlm12nli"
version = "0.0.1"
authors = [{ name = "Hudson Mendes", email = "hudsonmendes@gmail.com" }]
description = "Sentence Embeddings encoder model trained on the SNLI dataset using triplet loss."
readme = "README.md"
license = { file = "LICENSE" }
urls = { homepage = "https://github.com/hudsonmendes/hlm12nli" }
keywords = ["sentence-embeddings", "snli"]
dependencies = [
    "lightning>=2.1.0",
    "nest-ml@file:///Users/hudsonmendes/Workspaces/hudsonmendes/nest-ml",
]

[project.optional-dependencies]
dev = ["pre-commit>=3.3.3", "black[jupyter]>=23.7.0", "isort>=5.12.0"]
test = ["pytest>=7.4.0", "hypothesis>=6.84.2"]
etl = []
tokenisation = []
modelling = []
training = []
serving = []

[tool.black]
line-length = 120

[tool.isort]
profile = "black"
line_length = 120
src_paths = ["dev", "src", "tests"]
known_third_party = ["torch"]
known_first_party = ["nest-ml"]
import_heading_stdlib = "Python Built-in Modules"
import_heading_thirdparty = "Third-Party Libraries"
import_heading_firstparty = "My Packages and Modules"
import_heading_localfolder = "Local Folders"