settings.ini

[DEFAULT]
repo = ScholarlyInfrastructure
lib_name = scholarly_infrastructure
version = 0.1.2
min_python = 3.7
license = apache2
black_formatting = False
doc_path = docs
lib_path = scholarly_infrastructure
nbs_path = src/notebooks
recursive = True
tst_flags = notest
put_version_in_init = True
branch = main
custom_sidebar = False
doc_host = https://THU-CVML.github.io
doc_baseurl = /ScholarlyInfrastructure
git_url = https://github.com/THU-CVML/ScholarlyInfrastructure
title = ScholarlyInfrastructure
readme_nb = readme.ipynb
audience = Developers
author = 叶璨铭 (Ye Canming)
author_email = ycm24@mails.tsinghua.edu.cn
copyright = 2024 onwards, 叶璨铭 (Ye Canming)
description = 所谓大学者，非谓有大楼之谓也，有大师之谓也。
keywords = nbdev jupyter notebook python thu tsinghua cv ml vision learning
language = English
status = 3
user = THU-CVML
requirements = fastcore decorator pydantic mkinit lazy_loader\
	loguru bigmodelvis richuru\
	optuna
dev_requirements = nbdev ipykernel
conda_user = yecanming6666
allowed_metadata_keys = 
allowed_cell_metadata_keys = 
jupyter_hooks = False
clean_ids = True
clear_all = False
cell_number = True
skip_procs = 
console_scripts = nbscholar_separate=scholarly_infrastructure.nbscholar:nbscholar_separate
	nbscholar_export=scholarly_infrastructure.nbscholar:nbscholar_export
	nbscholar=scholarly_infrastructure.nbscholar:nbscholar
	nbscholar_submodules=scholarly_infrastructure.nbscholar:nbscholar_submodules
	nbscholar_submodules_to_ssh=scholarly_infrastructure.nbscholar:nbscholar_submodules_to_ssh
	nbscholar_check=scholarly_infrastructure.nbscholar:nbscholar_check
	auto_optuna=scholarly_infrastructure.experiment.auto_optuna:auto_optuna
	nbscholar_optuna=scholarly_infrastructure.experiment.auto_optuna:auto_optuna
	skinfra_optuna=scholarly_infrastructure.experiment.auto_optuna:auto_optuna
update_pyproject = True