Pyarrow pushdown affected by other filters

Checks

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

Reproducible example

from datetime import datetime, timedelta
import polars as pl
import pyarrow.dataset as ds

base_datetime = datetime.now()

dataset = ds.dataset(pl.DataFrame([
    pl.Series(name="int_col", values=[1, 2, 3, 4], dtype=pl.Int8),
    pl.datetime_range(base_datetime, base_datetime + timedelta(hours=3), interval="1h", time_unit="us", eager=True).alias("date_col"),
]).to_arrow())
print(
    "Dataset\n",
    dataset.head(5)
)

# Dataset
# pyarrow.Table
# int_col: int8
# date_col: timestamp[us]
# ----
# int_col: [[1,2,3,4]]
# date_col: [[2023-11-16 12:04:26.237219,2023-11-16 13:04:26.237219,2023-11-16 14:04:26.237219,2023-11-16 15:04:26.237219]]

print(
    "\nExample 1\n",
    pl.scan_pyarrow_dataset(dataset)
    .filter(pl.col("int_col").gt(2))
    .explain(optimized=True)
)

# Example 1
# 
#  PYTHON SCAN 
#  PROJECT */2 COLUMNS
#  SELECTION: (pa.compute.field('int_col') > 2)

print(
    "\nExample 2\n",
    pl.scan_pyarrow_dataset(dataset)
    .filter(pl.col("int_col").gt(2))
    .filter(pl.col("date_col").eq(base_datetime))
    .explain()
)

# Example 2
# FILTER [([(col("int_col")) > (2)]) & ([(col("date_col")) == (2023-11-16 12:04:26.237219)])] FROM
#
#  PYTHON SCAN 
#  PROJECT */2 COLUMNS

Log output

No response

Issue description

If you take a filter which is supported by the pyarrow pushdown, and then add another filter which is not supported, the first filter is no longer pushed down.

(Was not sure whether this should be classified as a bug or enhancement)

Expected behavior

In the second example above, we should see something like

Example 2
 FILTER [(col("date_col")) == (2023-11-16 12:09:59.661913)] FROM

  PYTHON SCAN 
  PROJECT */2 COLUMNS
  SELECTION: (pa.compute.field('int_col') > 2)

Installed versions

``` --------Version info--------- Polars: 0.19.13 Index type: UInt32 Platform: Linux-5.15.0-60-generic-x86_64-with-glibc2.35 Python: 3.10.12 (main, Jun 11 2023, 05:26:28) [GCC 11.4.0] ----Optional dependencies---- adbc_driver_sqlite: cloudpickle: 2.2.1 connectorx: deltalake: fsspec: 2023.1.0 gevent: matplotlib: 3.7.0 numpy: 1.23.5 openpyxl: 3.1.1 pandas: 1.5.3 pyarrow: 14.0.1 pydantic: 1.10.5 pyiceberg: pyxlsb: sqlalchemy: 1.4.46 xlsx2csv: 0.8.1 xlsxwriter: ```

pola-rs / polars