Nullability for pl.Float64 in pl.DataFrame fails

[MariusMerkleQC]

Describe the bug
The nullability constraint is not enforced in pl.DataFrame when the underlying data type is pl.Float64. When I provide a pl.DataFrame with a float column that contains None, it passes.

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

Code Sample, a copy-pastable example

import polars as pl
import pandera.polars as pa


class Schema(pa.DataFrameModel):
    col: float = pa.Field(nullable=False)


df = pl.DataFrame(data={"col": [1.0, 2.5, None]}, schema={"col": pl.Float64})

Schema.validate(df)

Expected behavior

The validation should vail as the column col contains a None value, but the schema requires it to be non-nullable.

Desktop (please complete the following information):

• OS: MacOS
• Browser: Chrome

Additional context

The nullability constraint is correctly enforced if the underlying data type is int or str.
For float, the nullability constraint correctly detects NULL values in the form of np.nan.

[cosmicBboy]

great catch @MariusMerkleQC ! #1627 should fix this