[misc] try to upgrade numpy

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All unit tests pass

[info] Using existing interpreter: /usr/bin/python3 (skipping install)

===============================================================
Pre-flight Ray cleanup

[info] Killed any stale Ray daemons from previous runs

===============================================================
Environment versions

python: 3.12.3
numpy 2.2.6
torch 2.10.0+cu129
ray 2.46.0.16
tensordict 0.10.0
transfer_queue 0.1.8.dev0
msgspec 0.20.0
hydra 1.3.2
omegaconf 2.3.0

===============================================================
Preflight: pytest plugin check

[info] found pytest
[info] found pytest-mock
[info] found pytest-asyncio

===============================================================
PHASE: unit

[info] Logging to /opt/tiger/TransferQueue/_test_logs/unit.log
[info] phase_unit: skipping yuanrong tests (SKIP_YUANRONG=1)
============================= test session starts ==============================
platform linux -- Python 3.12.3, pytest-9.0.2, pluggy-1.6.0
rootdir: /opt/tiger/TransferQueue
configfile: pyproject.toml
plugins: anyio-4.13.0, hydra-core-1.3.2, asyncio-1.3.0, mock-3.15.1
asyncio: mode=Mode.STRICT, debug=False, asyncio_default_fixture_loop_scope=None, asyncio_default_test_loop_scope=function
collected 468 items

tests/e2e/test_e2e_lifecycle_consistency.py ........ [ 1%]
tests/e2e/test_kv_interface_e2e.py ..................................... [ 9%]
............. [ 12%]
tests/test_async_simple_storage_manager.py ........................ [ 17%]
tests/test_client.py ............................................. [ 27%]
tests/test_controller.py ................. [ 30%]
tests/test_controller_data_partitions.py ............................... [ 37%]
................ [ 40%]
tests/test_kv_storage_manager.py ......... [ 42%]
tests/test_metadata.py ................................................. [ 53%]
. [ 53%]
tests/test_metrics.py ........... [ 55%]
tests/test_samplers.py ................................................. [ 66%]
.................... [ 70%]
tests/test_serial_utils_batch_on_cpu.py ................................ [ 77%]
.. [ 77%]
tests/test_serial_utils_on_cpu.py ...................................... [ 85%]
.............................. [ 92%]
tests/test_simple_storage_unit.py ............ [ 94%]
tests/test_storage_client_factory.py ss [ 95%]
tests/test_streaming_dataset.py ... [ 95%]
tests/test_tensor_utils.py ................... [100%]

=============================== warnings summary ===============================
../../../usr/local/lib/python3.12/dist-packages/google/protobuf/internal/well_known_types.py:91
/usr/local/lib/python3.12/dist-packages/google/protobuf/internal/well_known_types.py:91: DeprecationWarning: datetime.datetime.utcfromtimestamp() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.fromtimestamp(timestamp, datetime.UTC).
_EPOCH_DATETIME_NAIVE = datetime.datetime.utcfromtimestamp(0)

tests/e2e/test_e2e_lifecycle_consistency.py::test_core_consistency
tests/e2e/test_e2e_lifecycle_consistency.py::test_core_consistency
tests/e2e/test_kv_interface_e2e.py::TestKVPutE2E::test_kv_put_with_dict_fields[sync]
tests/e2e/test_kv_interface_e2e.py::TestKVPutE2E::test_kv_put_with_dict_fields[sync]
/usr/local/lib/python3.12/dist-packages/ray/_private/auto_init_hook.py:21: DeprecationWarning: placement_group parameter is deprecated. Use scheduling_strategy=PlacementGroupSchedulingStrategy(...) instead, see the usage at https://docs.ray.io/en/master/ray-core/package-ref.html#ray-remote.
return fn(*args, **kwargs)

tests/e2e/test_e2e_lifecycle_consistency.py::test_core_consistency
tests/e2e/test_e2e_lifecycle_consistency.py::test_core_consistency
tests/e2e/test_kv_interface_e2e.py::TestKVPutE2E::test_kv_put_with_dict_fields[sync]
tests/e2e/test_kv_interface_e2e.py::TestKVPutE2E::test_kv_put_with_dict_fields[sync]
/usr/local/lib/python3.12/dist-packages/ray/_private/auto_init_hook.py:21: DeprecationWarning: placement_group_bundle_index parameter is deprecated. Use scheduling_strategy=PlacementGroupSchedulingStrategy(...) instead, see the usage at https://docs.ray.io/en/master/ray-core/package-ref.html#ray-remote.
return fn(*args, **kwargs)

tests/test_serial_utils_batch_on_cpu.py::test_calc_packed_size_then_pack_unpack_roundtrip
/opt/tiger/TransferQueue/transfer_queue/utils/serial_utils.py:426: UserWarning: The given buffer is not writable, and PyTorch does not support non-writable tensors. This means you can write to the underlying (supposedly non-writable) buffer using the tensor. You may want to copy the buffer to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_new.cpp:1581.)
src_tensor = torch.frombuffer(item_mv, dtype=torch.uint8)

-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
=========== 466 passed, 2 skipped, 10 warnings in 291.72s (0:04:51) ============
[ ok ] unit passed in 299s

===============================================================
Summary

PHASE STATUS ELAPSED LOG

---

unit PASS 299s /opt/tiger/TransferQueue/_test_logs/unit.log

All selected phases passed.