Example 02 Missing dependencies

[mkolopanis]

installing the non-dev version of MPoL does not include tensorboard, however example 02 depends on this functionality to run.

Attempting to follow the example code execution for this example produces the following ModuleNotFound Error. This environment was constructing by pip installing the MPoL repository.

-> % python src/sgd.py --tensorboard-log-dir=runs/nolam0 --epochs=40 --log-interval=2 --save-checkpoint=checkpoints/nolam0.pt --lr 1e-2

Traceback (most recent call last):
  File "/home/matthew/src/mpol-example/02-sgd/src/sgd.py", line 11, in <module>
    from torch.utils.tensorboard import SummaryWriter
  File "/home/matthew/src/mpol-example/.venv/lib/python3.13/site-packages/torch/utils/tensorboard/__init__.py", line 1, in <module>
    import tensorboard
ModuleNotFoundError: No module named 'tensorboard'

Minimum python environment details

-> % uv pip list
Using Python 3.13.7 environment at: /home/matthew/src/mpol-example/.venv
Package                  Version
------------------------ -----------------------
astropy                  7.1.0
astropy-iers-data        0.2025.9.15.0.37.0
contourpy                1.3.3
cycler                   0.12.1
fast-histogram           0.14
filelock                 3.19.1
fonttools                4.59.2
fsspec                   2025.9.0
jinja2                   3.1.6
kiwisolver               1.4.9
markupsafe               3.0.2
matplotlib               3.10.6
mpmath                   1.3.0
mpol                     0.3.0a1.dev5+g24c0bbcd8
networkx                 3.5
numpy                    2.3.3
nvidia-cublas-cu12       12.8.4.1
nvidia-cuda-cupti-cu12   12.8.90
nvidia-cuda-nvrtc-cu12   12.8.93
nvidia-cuda-runtime-cu12 12.8.90
nvidia-cudnn-cu12        9.10.2.21
nvidia-cufft-cu12        11.3.3.83
nvidia-cufile-cu12       1.13.1.3
nvidia-curand-cu12       10.3.9.90
nvidia-cusolver-cu12     11.7.3.90
nvidia-cusparse-cu12     12.5.8.93
nvidia-cusparselt-cu12   0.7.1
nvidia-nccl-cu12         2.27.3
nvidia-nvjitlink-cu12    12.8.93
nvidia-nvtx-cu12         12.8.90
packaging                25.0
pillow                   11.3.0
pyerfa                   2.0.1.5
pyparsing                3.2.4
python-dateutil          2.9.0.post0
pyyaml                   6.0.2
scipy                    1.16.2
setuptools               80.9.0
six                      1.17.0
sympy                    1.14.0
torch                    2.8.0
torchaudio               2.8.0
torchkbnufft             1.5.2
torchvision              0.23.0
triton                   3.4.0
typing-extensions        4.15.0
visread                  0.0.5

Attempting to pip install -r requirments.txt produces an environment which is also unable to run example 02 since the example data seems to depend on the latest version of MPoL (0.3.0a) which 0.2.0 is available on pypi.

-> % python src/sgd.py --tensorboard-log-dir=runs/nolam0 --epochs=40 --log-interval=2 --save-checkpoint=checkpoints/nolam0.pt --lr 1e-2

/home/matthew/src/mpol-example/02-sgd/.venv/lib/python3.13/site-packages/mpol/utils.py:168: SyntaxWarning: invalid escape sequence '\l'
  q : array, unit = :math:`k\lambda`
Traceback (most recent call last):
  File "/home/matthew/src/mpol-example/02-sgd/src/sgd.py", line 2, in <module>
    import load_data
  File "/home/matthew/src/mpol-example/02-sgd/src/load_data.py", line 59, in <module>
    data, _ = fourier.generate_fake_data(
              ^^^^^^^^^^^^^^^^^^^^^^^^^^
AttributeError: module 'mpol.fourier' has no attribute 'generate_fake_data'

Naive environment

-> % uv pip install -r requirements.txt
Resolved 47 packages in 467ms
Prepared 1 package in 95ms
Installed 47 packages in 188ms
 + astropy==7.1.0
 + astropy-iers-data==0.2025.9.15.0.37.0
 + contourpy==1.3.3
 + cycler==0.12.1
 + fast-histogram==0.14
 + filelock==3.19.1
 + fonttools==4.59.2
 + fsspec==2025.9.0
 + jinja2==3.1.6
 + kiwisolver==1.4.9
 + markupsafe==3.0.2
 + matplotlib==3.10.6
 + mpmath==1.3.0
 + mpol==0.2.0
 + networkx==3.5
 + numpy==2.3.3
 + nvidia-cublas-cu12==12.8.4.1
 + nvidia-cuda-cupti-cu12==12.8.90
 + nvidia-cuda-nvrtc-cu12==12.8.93
 + nvidia-cuda-runtime-cu12==12.8.90
 + nvidia-cudnn-cu12==9.10.2.21
 + nvidia-cufft-cu12==11.3.3.83
 + nvidia-cufile-cu12==1.13.1.3
 + nvidia-curand-cu12==10.3.9.90
 + nvidia-cusolver-cu12==11.7.3.90
 + nvidia-cusparse-cu12==12.5.8.93
 + nvidia-cusparselt-cu12==0.7.1
 + nvidia-nccl-cu12==2.27.3
 + nvidia-nvjitlink-cu12==12.8.93
 + nvidia-nvtx-cu12==12.8.90
 + packaging==25.0
 + pillow==11.3.0
 + pyerfa==2.0.1.5
 + pyparsing==3.2.4
 + python-dateutil==2.9.0.post0
 + pyyaml==6.0.2
 + scipy==1.16.2
 + setuptools==80.9.0
 + six==1.17.0
 + sympy==1.14.0
 + torch==2.8.0
 + torchaudio==2.8.0
 + torchkbnufft==1.5.2
 + torchvision==0.23.0
 + triton==3.4.0
 + typing-extensions==4.15.0
 + visread==0.0.5