Problem

PFClient.runs.get_details() returned dataframe rows in inconsistent order, causing input rows to be paired with wrong output rows.

Root cause in LocalStorageOperations.load_inputs_and_outputs():

_outputs_padding() already sorts the outputs DataFrame by line_number ascending (line 504), but the inputs DataFrame was left in whatever order the SDK inputs JSON file was written — which depends on async executor completion order.

get_details() then merges inputs and outputs positionally via .to_dict("list") + DataFrame(data), so mismatched orderings cause silently wrong row pairings:

Fixes #2646.

Fix

Sort inputs by line_number ascending inside load_inputs_and_outputs(), immediately after outputs are sorted and indexed, so both DataFrames are in the same order when get_details() merges them:

if LINE_NUMBER in inputs.columns:
    inputs = inputs.sort_values(LINE_NUMBER, ascending=True).reset_index(drop=True)

Tests

Added test_load_inputs_and_outputs_sorts_inputs_by_line_number to tests/sdk_cli_test/unittests/test_local_storage_operations.py:

• Writes inputs file with rows in out-of-order sequence [line 2, line 0, line 1]
• Writes outputs file with rows in sorted sequence [line 0, line 1, line 2]
• Verifies load_inputs_and_outputs() returns inputs sorted as ["first", "second", "third"]

The test fails on main and passes with this fix.