datetime to_numpy error

[j5255089]

Checks

• I have checked that this issue has not already been reported.
• I have confirmed this bug exists on the latest version of Polars.

Reproducible example

from datetime import datetime
import polars as pl
t = "2023-07-01T00:00:00+00:00"
pl.Series([datetime.fromisoformat(t)]).to_numpy()

Log output

在当前单元格或上一个单元格中执行代码时 Kernel 崩溃。
请查看单元格中的代码，以确定故障的可能原因。
单击[此处](https://aka.ms/vscodeJupyterKernelCrash)了解详细信息。
有关更多详细信息，请查看 Jupyter [log](command:jupyter.viewOutput)。

10:29:17.888 [info] Process Execution: d:\workspace\chuizhi_io\.venv\Scripts\python.exe c:\Users\~\.vscode\extensions\ms-toolsai.jupyter-2024.6.0-win32-x64\pythonFiles\printJupyterDataDir.py
10:29:22.057 [error] Disposing session as kernel process died ExitCode: 3221225477, Reason:

Issue description

null

Expected behavior

Expect to get converted numpy datetime64 data

Installed versions

--------Version info---------
Polars:               1.0.0
Index type:           UInt32
Platform:             Windows-11-10.0.22631-SP0
Python:               3.12.2 (tags/v3.12.2:6abddd9, Feb  6 2024, 21:26:36) [MSC v.1937 64 bit (AMD64)]

----Optional dependencies----
adbc_driver_manager:  <not installed>
cloudpickle:          3.0.0
connectorx:           <not installed>
deltalake:            <not installed>
fastexcel:            <not installed>
fsspec:               2024.3.1
gevent:               <not installed>
great_tables:         <not installed>
hvplot:               <not installed>
matplotlib:           3.9.0
nest_asyncio:         1.6.0
numpy:                2.0.0
openpyxl:             <not installed>
pandas:               2.2.2
pyarrow:              16.1.0
pydantic:             2.7.1
pyiceberg:            <not installed>
sqlalchemy:           <not installed>
torch:                2.3.0+cu121
xlsx2csv:             <not installed>
xlsxwriter:           <not installed>

[stinodego]

This is a known issue, see #17384

It has been fixed on main. Wait until the next Polars release or use NumPy < 2.0 until then.