TL;DR: VisibleDeprecationWarning was removed in numpy 2.0, so `from numpy import VisibleDeprecationWarning` cannot work anymore. Replace it with Python's builtin warnings module. If you cannot change the code, pin numpy below 2.0 as a stopgap.

## The error
```text
ImportError: cannot import name 'VisibleDeprecationWarning' from 'numpy'
```

## Fix it
1. Find every place the removed name is imported:
   ```
   grep -rn "VisibleDeprecationWarning" [your project dir]
   ```
   Expected: a list of files doing `from numpy import VisibleDeprecationWarning`.
2. Replace the import with the stdlib warnings module:
   ```python
   import warnings
   ```
   and where the code raised or filtered it, use `warnings.warn(msg, DeprecationWarning)` or the builtin `DeprecationWarning` class. Expected: no remaining references to the numpy import.
3. Re-run the import that failed. Expected: it imports cleanly.
4. If you cannot edit the code (a pinned third-party package), downgrade numpy instead:
   ```
   pip install "numpy<2.0"
   ```
   Expected: the old import works again.

## When this applies
Use this when the traceback points at `from numpy import VisibleDeprecationWarning` and numpy 2.x is installed.

## When it does not apply
If the error names a different removed symbol (np.float, np.unicode_, np.asfarray), each needs its own replacement. If numpy is still 1.x, something else is wrong.

## Compatibility
numpy 2.0 and later. VisibleDeprecationWarning existed through numpy 1.26.

## Root cause
NumPy 2.0 did a long-planned cleanup of deprecated names. VisibleDeprecationWarning was a thin subclass of UserWarning, so the stdlib warnings module plus DeprecationWarning is the intended replacement.

## Edge cases
Some libraries vendored the name; upgrading the library to a numpy-2-compatible release is better than patching. If tests filter on the warning class, update the filter to DeprecationWarning too.