PanicException creating DataFrame with numpy array inside dict

[cmdlineluser]

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

import polars as pl
import numpy as np

pl.DataFrame({'A': [{'B': np.array([1])}]})

Log output

thread '<unnamed>' panicked at crates/polars-core/src/chunked_array/ops/any_value.rs:124:75:
PanicException: called `Option::unwrap()` on a `None` value

Issue description

Works without the numpy array

>>> pl.DataFrame({'A': [{'B': [1]}]})
shape: (1, 1)
┌───────────┐
│ A         │
│ ---       │
│ struct[1] │
╞═══════════╡
│ {[1]}     │
└───────────┘

Or without the dict:

>>> pl.DataFrame({'A': [np.array([1])]})
shape: (1, 1)
┌───────────┐
│ A         │
│ ---       │
│ list[i64] │
╞═══════════╡
│ [1]       │
└───────────┘

Expected behavior

No panic.

Installed versions

--------Version info---------
Polars:               0.20.29
Index type:           UInt32
Platform:             macOS-13.6.1-arm64-arm-64bit
Python:               3.12.2 (main, Feb  6 2024, 20:19:44) [Clang 15.0.0 (clang-1500.1.0.2.5)]

----Optional dependencies----
adbc_driver_manager:  <not installed>
cloudpickle:          <not installed>
connectorx:           <not installed>
deltalake:            <not installed>
fastexcel:            <not installed>
fsspec:               <not installed>
gevent:               <not installed>
hvplot:               <not installed>
matplotlib:           <not installed>
nest_asyncio:         <not installed>
numpy:                1.26.4
openpyxl:             <not installed>
pandas:               2.2.1
pyarrow:              15.0.2
pydantic:             <not installed>
pyiceberg:            <not installed>
pyxlsb:               <not installed>
sqlalchemy:           <not installed>
xlsx2csv:             <not installed>
xlsxwriter:           <not installed>

[cmdlineluser]

This is actually now fixed on main thanks to the new ndarray/tensor support. #16466

>>> pl.DataFrame({'A': [{'B': np.array([1])}]})
shape: (1, 1)
┌───────────┐
│ A         │
│ ---       │
│ struct[1] │
╞═══════════╡
│ {1.0}     │
└───────────┘