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pyproject.toml
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[build-system]
# There are multiple ways to do this in Python, and flit as defined
# here works for common pure Python use cases. See
# https://packaging.python.org/en/latest/tutorials/packaging-projects/#creating-pyproject-toml
# for alternatives.
requires = ["flit_core >=3.2,<4"]
build-backend = "flit_core.buildapi"
[project]
name = "dataset-creator"
# Change these values for your team and library.
authors = [
{name = "Itay Ravia", email = "[email protected]"},
]
description = "Repository for Dataset Creator implementation"
# The version string will be automatically updated by the release
# workflow (release.yml), so you do not need to change it manually.
version = "2.2.1"
requires-python = ">=3.9"
classifiers = [
# Attempt to prevent accidental upload to PyPI.
"Private :: Do Not Upload",
# Set a license for compatibility with future license checks.
"License :: Other/Proprietary License"
]
dependencies = [
"dill",
"mne",
"defusedxml",
"numpy",
"pandas",
"absl-py",
"apache-beam[gcp,interactive,dataframe]==2.56.0",
"more-itertools",
"torch",
"opencv-python",
"scipy>=1.9.3",
"nibabel",
"yt_dlp",
"tqdm",
"immutabledict",
"google-cloud-dataflow-client",
"google-cloud-storage",
"google-cloud-spanner",
"google-cloud-pubsub",
"tensorflow-cpu==2.15.1", # Exact version required for the inference_model
"typing_extensions<4.6.0",
"wfdb",
]
[project.optional-dependencies]
# Dev dependencies are not required or installed for users of your
# library, but they are installed locally in this repository to run
# tests and other presubmit checks.
dev = [
"keyrings.google-artifactregistry-auth",
"pandas-stubs",
"pytest",
"tqdm-stubs",
"types-google-cloud-ndb",
"types-requests",
"types-tensorflow",
]
[tool.flit.module]
# This name must match the code directory name if the project name
# does not.
name = "dataset_creator"
[tool.flit.sdist]
exclude = [
"**/*test.py",
"**/testdata/",
]
[tool.isort]
profile = "google"
line_length = 80
[[tool.mypy.overrides]]
module = "cv2.*"
ignore_missing_imports = true