dsm-72
dsm-72
- [x] I have checked that this issue has not already been reported. - [x] I have confirmed this bug exists on the latest version of scanpy. - [ ]...
One day it just started to say it isnt found...
# How to reproduce 1. new repo based off of template 2. update `settings.ini` to match personal repo and user 3. update `index.ipynb` so that `your_lib_name` is `lib_name` from `settings.ini`...
Here is an example of an nbdev project I have created: https://dsm-72.github.io/sugar/ I am using what I believe to be proper docstrings, e.g. ``` def validate_sigma( sigma:SigmaType, logger:Optional[logging.Logger]=None ) ->...
Ran `make release`. It worked for pypi but not anaconda despite conda being installed. ``` Traceback (most recent call last): File "/Users/USER/miniforge3/bin/fastrelease_conda_package", line 8, in sys.exit(fastrelease_conda_package()) File "/Users/USER/miniforge3/lib/python3.9/site-packages/fastcore/script.py", line 113,...
I go to the [tutorial](https://nbdev.fast.ai/tutorial.html#Set-up-Repo) and immediately I get CI errors. Please fix.
```ValueError Traceback (most recent call last) Input In [138], in () 4 custom_xlim = (-12, 12) 5 custom_ylim = (-12, 12) ----> 6 slingshot.fit(num_epochs=1, debug_axes=axes) 8 fig, axes = plt.subplots(ncols=2,...
### 📚 The doc issue `torch.testing.get_all_device_types()` yields all valid devices on the current machine however unlike `torch._tensor_classes` , `torch.testing.get_all_dtypes()`, and `import typing; typing.get_args(torch.types.Device)`, there doesn't seem to be a comprehensive...
## Crux of the issue In [`nbdev.release._get_conda_meta`](https://github.com/fastai/nbdev/blob/master/nbdev/release.py#L196-L234) lines [`220-233`](https://github.com/fastai/nbdev/blob/master/nbdev/release.py#L220-L233) we have the following: ```python d2 = { 'build': {'number': '0', 'noarch': 'python', 'script': '{{ PYTHON }} -m pip install ....
How to reproduce: 1. make a new `nbdev` project. 2. add a cell > ```python > #| export > import numpy > ``` 3. add `requirements = numpy>=1.22` in the...