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settings.ini
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[DEFAULT]
host = github
lib_name = clean_plot
user = deven367
description = clean_plot simplifies cleaning text files for creation of embeddings and making plots from it
keywords = cleaning tokenizing embeddings plotting
author = Deven Mistry
author_email = [email protected]
copyright = Deven Mistry
branch = master
version = 0.0.14
min_python = 3.7
audience = Developers
language = English
custom_sidebar = True
license = apache2
status = 2
requirements = numpy pandas seaborn scikit-learn nltk unidecode fastcore
dev_requirements = nbdev notebook black
nbs_path = nbs
doc_path = _docs
recursive = True
repo = clean_plot
doc_host = https://%(user)s.github.io
doc_baseurl = /%(lib_name)s/
git_url = https://github.com/%(user)s/%(repo)s/
lib_path = %(lib_name)s
title = %(lib_name)s
monospace_docstrings = True
tst_flags = slow colab local
console_scripts = heatmaps=clean_plot.heatmaps_novels:plot_novels
corr_hm=clean_plot.heatmaps_novels:corr_heatmaps
lex_ts=clean_plot.heatmaps_novels:lex_ts
heatmaps_pkl=clean_plot.heatmaps_novels:ssms_from_pkl
clean_file=clean_plot.utils:clean
histograms=clean_plot.heatmaps_novels:plot_histograms
make_pkl=clean_plot.pickle:create_dict_whole_book
ts_pkl=clean_plot.heatmaps_novels:heatmap_from_pkl
cp_help=clean_plot.utils:chelp
black_formatting = False
readme_nb = index.ipynb
allowed_metadata_keys =
allowed_cell_metadata_keys =
jupyter_hooks = True
clean_ids = True