Decimal panics for in merge sorted

[coastalwhite]

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
from polars.testing import assert_series_equal

s = pl.Series('a', ["1.0", "0.1"], pl.Decimal(precision=2, scale=1))
print(s)

df = pl.DataFrame([s.sort()])

merge_sorted = df.lazy().merge_sorted(df.lazy(), 'a').collect().get_column('a')
append_sorted = s.append(s).sort()

assert_series_equal(merge_sorted, append_sorted)

Log output

thread '<unnamed>' panicked at crates/polars-ops/src/frame/join/merge_sorted.rs:44:49:
called `Result::unwrap()` on an `Err` value: ComputeError(ErrString("decimal precision 2 can't fit values with 3 digits"))
note: run with `RUST_BACKTRACE=1` environment variable to display a backtrace
Traceback (most recent call last):
  File "/home/johndoe/Projects/polars/bug.py", line 9, in <module>
    merge_sorted = df.lazy().merge_sorted(df.lazy(), 'a').collect().get_column('a')
                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/johndoe/Projects/polars/py-polars/polars/lazyframe/frame.py", line 2056, in collect
    return wrap_df(ldf.collect(callback))
                   ^^^^^^^^^^^^^^^^^^^^^
pyo3_runtime.PanicException: called `Result::unwrap()` on an `Err` value: ComputeError(ErrString("decimal precision 2 can't fit values with 3 digits"))

Issue description

Expected behavior

Installed versions

Replace this line with the output of pl.show_versions(). Leave the backticks in place.