mega_function()

Perform a mega computation combining all docstring features.

Usage

mega_function(
    data,
    mode="default",
    threshold=0.5,
)

Applies a configurable analysis pipeline to the input data, returning detailed results. Uses other_func() for element-wise transformations and DataHolder for result storage.

NoteAdded in version 3.0

Note

This replaces the old API.

Parameters

data: list

A list of numeric values to process. Must contain at least one element.

mode: str = "default"

The processing mode. One of "default" or "strict". Defaults to "default".

threshold: float = 0.5

The minimum threshold for filtering values. Values below this threshold are excluded. Defaults to 0.5.

Returns

dict

A dictionary with the following keys:

• "result" — the computed aggregate value (float).
• "filtered" — data points above threshold (list).
• "mode" — the mode that was used (str).
• "count" — number of points processed (int).

Raises

ValueError

If data is empty or mode is not recognized.

Notes

The "default" mode applies a simple mean calculation:

\[ R = \frac{1}{n} \sum_{i=1}^{n} f(x_i) \]

where \(f\) is the other_func() transformation.

The "strict" mode additionally filters values below the threshold before computing the mean. This can significantly reduce the number of data points in the output.

The time complexity is O(n) for both modes. Memory usage is proportional to the size of the input data.

Warnings

Input is modified in-place when mode="strict" is used. Make a copy of the data before calling if you need to preserve the original values.

References

1. Smith et al. (2020). “Advanced Data Processing Techniques.” Journal of Computation, 15(3), 42-58.

Examples

Basic usage with default mode:

>>> result = mega_function([1.0, 2.0, 3.0])
>>> result["mode"]
'default'
>>> result["count"]
3

Using strict mode with a threshold:

>>> result = mega_function([0.1, 0.6, 0.9], mode="strict", threshold=0.5)
>>> result["filtered"]
[0.6, 0.9]

The transformation uses other_func() internally:

>>> result = mega_function([4.0])
>>> result["result"]
2.0

See Also

• other_func(): Element-wise transformation used internally.
• DataHolder: Class for storing computation results.