Based on the content of the `corruptions.py` file and the absence of a specific hint about what to check for, I have analyzed the file for common issues such as syntax errors, logical inconsistencies, and documentation mismatches. Here are two potential issues I've identified:

1. **Issue: Typo in function documentation**
   - **Evidence**: `"For each diamond, calculate middle value as meanof points + wibble."`
   - **Description**: There is a typo in the documentation of the `filldiamonds()` function where "meanof" should be written as "mean of". This could lead to confusion or misinterpretation of the function's purpose and mechanics.

2. **Issue: Potential overflow or precision error in image processing**
   - **Evidence**: `m = np.where(liquid_layer > c[3], 1, 0)\n    m = skimage.filters.gaussian(m.astype(np.float32), sigma=c[4])\n    m[m < 0.8] = 0\n    #         m = np.abs(m) ** (1/c[4])`
   - **Description**: The commented-out operation `m = np.abs(m) ** (1/c[4])` suggests a previous consideration for adjusting the intensity values using a power function, which might indicate issues with the current approach's effectiveness or precision. Keeping such critical code commented out without explanation can lead to potential misuse or misunderstanding of the intended image processing effect.

These issues are primarily related to code quality and documentation, which are critical for maintaining and understanding the functionality of scripts effectively.