Fixed tuple to List Conversion in Dataframe class
- [X] closes #25075 
- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [X] whatsnew entry

Traceback of issue #25075 
- [pandas/core/frame.py: L#435](https://github.com/pandas-dev/pandas/blob/master/pandas/core/frame.py#L435) `to_arrays(data, columns, dtype=dtype)`
- [pandas/core/internals/construction.py: L#403](https://github.com/pandas-dev/pandas/blob/master/pandas/core/internals/construction.py#L403) `_list_to_arrays(data, columns, coerce_float=coerce_float, dtype=dtype)`
- [pandas/core/internals/construction.py: L#434](https://github.com/pandas-dev/pandas/blob/master/pandas/core/internals/construction.py#L434) `lib.to_object_array(data)`
- [pandas/_libs/lib.pyx: L#2283](https://github.com/pandas-dev/pandas/blob/master/pandas/_libs/lib.pyx#L2283) `row[j]`

### Cause of "Segmentation fault"
**row** variable as declared on [line#2266](https://github.com/pandas-dev/pandas/blob/master/pandas/_libs/lib.pyx#L2266) has to be of _list_ type.
It is tried to assign a tuple by converting to a list on [line#2280](https://github.com/pandas-dev/pandas/blob/master/pandas/_libs/lib.pyx#L2280) using `row = <list>input_rows[i]`
The conversion fails. As a result, the type of **row** is tuple (not a list) after line#2280. The `Segmentation fault` is returned when tried to access a value from it at [line#2283](https://github.com/pandas-dev/pandas/blob/master/pandas/_libs/lib.pyx#L2283)

### Fixes in #25089 
- At [line#2280](https://github.com/pandas-dev/pandas/blob/master/pandas/_libs/lib.pyx#L2280) in [_libs/lib.pyx](https://github.com/pandas-dev/pandas/blob/master/pandas/_libs/lib.pyx), changed the style of converting tuple into list.
  `<list>` --> `list()`
  This successfully converts tuples into list and further exception does not occur. As a result, function `to_object_array` correctly returns the numpy ndarray, what it's supposed to return.

As a result, not only `Segmentation fault` is removed, the need of function to raise `Type Error` is also eliminated.