Commit 52bdc668 authored by Matěj Pekár's avatar Matěj Pekár
Browse files

Merge branch 'develop' into 'master'

feat: mlkit integration

See merge request rationai/digital-pathology/templates/machine-learning!1
parents e80bbbd3 95f8f378
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.flake8

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[flake8]
max-line-length=88
extend-ignore=E203
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@@ -138,7 +138,7 @@ venv.bak/
.ropeproject

# mkdocs documentation
/site
site

# mypy
.mypy_cache/
@@ -166,6 +166,10 @@ cython_debug/
# Mlflow
mlruns/
mlflow_store/
mlflow_artifacts/

# Pytorch Lightning
lightning_logs/

# PyCharm
#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
@@ -174,12 +178,5 @@ mlflow_store/
#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
.idea/

# Ray
/ray_results

# Hydra
/outputs

# Project
/data
/models
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include:
  project: rationai/digital-pathology/templates/ci-templates
  file:
    - Pytest.gitlab-ci.yml
    - Python-Lint.gitlab-ci.yml
  file: Python-Lint.gitlab-ci.yml

stages:
  - lint
  - test
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@@ -2,23 +2,25 @@
# See https://pre-commit.com/hooks.html for more hooks
repos:
  - repo: https://github.com/pre-commit/pre-commit-hooks
    rev: v4.5.0
    rev: v4.6.0
    hooks:
      - id: check-yaml
        args: [--unsafe]

  - repo: https://github.com/compilerla/conventional-pre-commit
    rev: v3.2.0
    rev: v3.4.0
    hooks:
      - id: conventional-pre-commit
        stages: [commit-msg]
        # optional: list of Conventional Commits types to allow e.g. [feat, fix, ci, chore, test]
        args: [exp, build, chore, ci, docs, feat, fix, perf, refactor, revert, style, test]
        args: []

  - repo: https://github.com/astral-sh/ruff-pre-commit
    rev: v0.4.4
    rev: v0.6.0
    hooks:
      # Run the linter.
      - id: ruff
        entry: pdm lint --force-exclude
      #   Run the formatter.
      - id: ruff-format
        entry: pdm format --force-exclude

configs/default.yaml

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defaults:
  - hydra: default
  - logger: mlflow
  - _self_

seed: ${random_seed:}
mode: ???
checkpoint: null

trainer: {}

data: {}

model: {}

metadata:
  user: ???
  experiment_name: ???
  run_name: ???
  description: ???
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