We should be using pkg_resources (or importlib.resources if our min Python version is 3.7) instead of uses of __file__.

$ get grep '__file__' sklearn/
sklearn/__check_build/__init__.py:    local_dir = os.path.split(__file__)[0]
sklearn/datasets/_base.py:    module_path = dirname(__file__)
sklearn/datasets/_base.py:    module_path = dirname(__file__)
sklearn/datasets/_base.py:    

Screenshot

Description

chart 3 dot menu is behind the chart title panel in chart maximize mode

Hi all!
I am trying a self-play based scheme, where I want to have two agents in waterworld environment have a policy that is being trained (“shared_policy_1”) and other 3 agents that sample a policy from a menagerie (set) of the previous policies of the first two agents ( “shared_policy_2”).
My problem is that I see that the weights in the menagerie are overwritten in every iteration by the cur

Summary

The grayish background oval indicating a selected st.radio label has too much padding on the right hand side by a few pixels. Here's an example:

(Notice how the background rounded rectangle extends further to the right past "Notion" than it does to the left of the sel

The docs for IPython.core.interactiveshell.InteractiveShell.set_custom_exc have horribly mangled a warning message into a list of arguments. I can't work out at a glance why this is happening; it might be a sphinx.ext.napoleon bug, or a sphi

In recent versions (can't say from exactly when), there seems to be an off-by-one error in dcc.DatePickerRange. I set max_date_allowed = datetime.today().date(), but in the calendar, yesterday is the maximum date allowed. I see it in my apps, and it is also present in the first example on the DatePickerRange documentation page.

E

🐛 Bug

If the Trainer's profiler parameter is set to "pytorch" and the Trainer's logger is an instance of LoggerCollection, the profiler fails to write to a local file (with a warning).

The path for said file is derived from [this property](https://github.com/PyTorchLightning/pytorch-lightning/blob/28afc7a10d9f9c1160935fb5c81a1a8c0492b392/pytorch_lightning/trainer/properties.py#L22

Problem

The source link in the docs:

links to the matplotlib source on the website. This is ok, but subsequent navigation of the code is more frustrating than on github. For example I can't figure out how to the get to the folder containing https://matplotlib.org/stable/_modul

In gensim/models/fasttext.py:

    model = FastText(
        vector_size=m.dim,
        vector_size=m.dim,
        window=m.ws,
        window=m.ws,
        epochs=m.epoch,
        epochs=m.epoch,
        negative=m.neg,
        negative=m.neg,
        # FIXME: these next 2 lines read in unsupported FB FT modes (loss=3 softmax or loss=4 onevsall,
        # or model=3 supervi

Is your feature request related to a problem? Please describe.
I typically used compressed datasets (e.g. gzipped) to save disk space. This works fine with AllenNLP during training because I can write my dataset reader to load the compressed data. However, the predict command opens the file and reads lines for the Predictor. This fails when it tries to load data from my compressed files.