## complex_transform()


Apply a complex transformation to input data.


Usage


``` python
complex_transform(
    data,
    mode="standard",
    threshold=0.5,
    inplace=False,
)
```


This function performs a multi-step transformation on the input data. The transformation is controlled by the `mode` parameter, which can be `"standard"`, `"fast"`, or `"precise"`.


## Parameters


`data: list`  
Input data as a list of numeric values. Each element must be a finite number (int or float). Empty lists are allowed and will return empty lists.

`mode: str = ``"standard"`  
Transformation mode. One of:

- `"standard"` -- balanced speed/accuracy (default)
- `"fast"` -- optimized for speed at cost of precision
- `"precise"` -- maximum accuracy, slower

`threshold: float = ``0.5`  
Minimum value threshold. Values below this are filtered out before transformation. Must be non-negative.

`inplace: bool = ``False`  
If True, modify the input list in place. If False (default), return a new list.


## Returns


`list`  
Transformed data. If `inplace=True`, this is the same object as `data`.


## Raises


`ValueError`  
If `mode` is not one of the recognized values.

`TypeError`  
If `data` contains non-numeric elements.


## Notes

The transformation algorithm is based on the windowed moving average technique described in \[1\]\_. For large datasets (\>10,000 elements), the `"fast"` mode is recommended.

The time complexity is O(n) for `"fast"` mode and O(n log n) for `"precise"` mode.


## Warnings

Using `inplace=True` modifies the original data and cannot be undone. Always make a copy if you need the original data.


## Examples

Basic usage with default parameters:

``` python
>>> from gdtest_long_docs import complex_transform
>>> complex_transform([1, 2, 3, 4, 5])
```

\[1, 2, 3, 4, 5\]

Using fast mode:

``` python
>>> complex_transform([1, 2, 3], mode="fast")
```

\[1, 2, 3\]

With threshold filtering:

``` python
>>> complex_transform([0.1, 0.5, 1.0], threshold=0.3)
```

\[0.5, 1.0\]


## References

1.  <span style="font-weight: 600; color: #6c757d;">\[1\]</span> Smith, J. (2020). "Data Transformation Techniques." Journal of Applied Computing, 15(3), 42-58.