Numpy 2.0 Released - `np.NaN` was removed in the NumPy 2.0 release. Use `np.nan` instead

[DarkCTO]

Describe the bug

Traceback (most recent call last):
  File "c:\Users\ABui8\OneDrive - T-Mobile USA\Documents\Project\Python\MyApp\Main.py", line 21, in <module>
    import apps.Modeler as Modeler
  File "c:\Users\ABui8\OneDrive - T-Mobile USA\Documents\Project\Python\MyApp\apps\Modeler.py", line 17, in <module>
    from mitosheet.mito_dash.v1 import Spreadsheet, mito_callback
  File "C:\Users\ABui8\OneDrive - T-Mobile USA\Documents\Project\Python\venv\venv_311\Lib\site-packages\mitosheet\__init__.py", line 30, in <module>
    from mitosheet.mito_backend import sheet
  File "C:\Users\ABui8\OneDrive - T-Mobile USA\Documents\Project\Python\venv\venv_311\Lib\site-packages\mitosheet\mito_backend.py", line 24, in <module>
    from mitosheet.api import API
  File "C:\Users\ABui8\OneDrive - T-Mobile USA\Documents\Project\Python\venv\venv_311\Lib\site-packages\mitosheet\api\__init__.py", line 1, in <module>
    from mitosheet.api.api import API
  File "C:\Users\ABui8\OneDrive - T-Mobile USA\Documents\Project\Python\venv\venv_311\Lib\site-packages\mitosheet\api\api.py", line 14, in <module> 
    from mitosheet.api.get_saved_analysis_code import get_saved_analysis_code
  File "C:\Users\ABui8\OneDrive - T-Mobile USA\Documents\Project\Python\venv\venv_311\Lib\site-packages\mitosheet\api\get_saved_analysis_code.py", line 2, in <module>
    from mitosheet.saved_analyses.save_utils import read_analysis
  File "C:\Users\ABui8\OneDrive - T-Mobile USA\Documents\Project\Python\venv\venv_311\Lib\site-packages\mitosheet\saved_analyses\__init__.py", line 7, in <module>
    from mitosheet.saved_analyses.save_utils import (
  File "C:\Users\ABui8\OneDrive - T-Mobile USA\Documents\Project\Python\venv\venv_311\Lib\site-packages\mitosheet\saved_analyses\save_utils.py", line 11, in <module>
    from mitosheet.step import Step
  File "C:\Users\ABui8\OneDrive - T-Mobile USA\Documents\Project\Python\venv\venv_311\Lib\site-packages\mitosheet\step.py", line 10, in <module>    
    from mitosheet.step_performers.step_performer import StepPerformer
  File "C:\Users\ABui8\OneDrive - T-Mobile USA\Documents\Project\Python\venv\venv_311\Lib\site-packages\mitosheet\step_performers\__init__.py", line 12, in <module>
    from mitosheet.step_performers.concat import ConcatStepPerformer
  File "C:\Users\ABui8\OneDrive - T-Mobile USA\Documents\Project\Python\venv\venv_311\Lib\site-packages\mitosheet\step_performers\concat.py", line 10, in <module>
    from mitosheet.code_chunks.step_performers.concat_code_chunk import \
  File "C:\Users\ABui8\OneDrive - T-Mobile USA\Documents\Project\Python\venv\venv_311\Lib\site-packages\mitosheet\code_chunks\step_performers\concat_code_chunk.py", line 10, in <module>
    from mitosheet.state import State
  File "C:\Users\ABui8\OneDrive - T-Mobile USA\Documents\Project\Python\venv\venv_311\Lib\site-packages\mitosheet\state.py", line 14, in <module>   
    from mitosheet.utils import  get_first_unused_dataframe_name
  File "C:\Users\ABui8\OneDrive - T-Mobile USA\Documents\Project\Python\venv\venv_311\Lib\site-packages\mitosheet\utils.py", line 37, in <module>   
    from mitosheet.public.v3.formatting import add_formatting_to_excel_sheet
  File "C:\Users\ABui8\OneDrive - T-Mobile USA\Documents\Project\Python\venv\venv_311\Lib\site-packages\mitosheet\public\v3\__init__.py", line 1, in <module>
    from mitosheet.public.v2 import (
  File "C:\Users\ABui8\OneDrive - T-Mobile USA\Documents\Project\Python\venv\venv_311\Lib\site-packages\mitosheet\public\v2\__init__.py", line 2, in <module>
    from mitosheet.public.v1 import (
  File "C:\Users\ABui8\OneDrive - T-Mobile USA\Documents\Project\Python\venv\venv_311\Lib\site-packages\mitosheet\public\v1\__init__.py", line 4, in <module>
    from mitosheet.public.v1.sheet_functions import FUNCTIONS
  File "C:\Users\ABui8\OneDrive - T-Mobile USA\Documents\Project\Python\venv\venv_311\Lib\site-packages\mitosheet\public\v1\sheet_functions\__init__.py", line 9, in <module>
    from mitosheet.public.v1.sheet_functions.number_functions import *
  File "C:\Users\ABui8\OneDrive - T-Mobile USA\Documents\Project\Python\venv\venv_311\Lib\site-packages\mitosheet\public\v1\sheet_functions\number_functions.py", line 24, in <module>
    from mitosheet.public.v1.sheet_functions.types.decorators import (
  File "C:\Users\ABui8\OneDrive - T-Mobile USA\Documents\Project\Python\venv\venv_311\Lib\site-packages\mitosheet\public\v1\sheet_functions\types\__init__.py", line 12, in <module>
    from mitosheet.public.v1.sheet_functions.types.to_boolean_series import to_boolean_series
  File "C:\Users\ABui8\OneDrive - T-Mobile USA\Documents\Project\Python\venv\venv_311\Lib\site-packages\mitosheet\public\v1\sheet_functions\types\to_boolean_series.py", line 22, in <module>
    on_uncastable_arg_element: Any=('default', np.NaN), # Union[Literal['error'], Tuple[Literal['default'], any]]
                                               ^^^^^^
  File "C:\Users\ABui8\OneDrive - T-Mobile USA\Documents\Project\Python\venv\venv_311\Lib\site-packages\numpy\__init__.py", line 411, in __getattr__    raise AttributeError(
AttributeError: `np.NaN` was removed in the NumPy 2.0 release. Use `np.nan` instead.. Did you mean: 'nan'?

To Reproduce Steps to reproduce the behavior: Use Mitosheet I use it in my Dash app

Please include the relevant dataset if the bug you encountered is dataset specific. Make sure to anonymize the data properly.

Expected behavior No error

Screenshots If applicable, add screenshots to help explain your problem.

Desktop (please complete the following information):

• OS: [e.g. Windows 11]
• Browser [e.g. Chrome, Firefox]
• Mito Version [e.g. 0.3.331] (you can find this with pip list)

Additional context Since this is released 6 days ago, it is understandable this hasn't fixed yet. But it's worth getting your attention.