Closed zjgemi closed 2 months ago
dpgen2/exploration/scheduler/stage_scheduler.py (2)
`11-12`: **Approved import changes.** The addition of `Union` and `HDF5Dataset` is necessary for the new functionality to handle both paths and HDF5 datasets in the `trajs` parameter. Also applies to: 14-15 --- Line range hint `95-106`: **Approved method changes with a suggestion to verify integration.** The update to the `trajs` parameter type in `plan_next_iteration` enhances the method's flexibility to handle different data sources. The documentation is updated accordingly, which is good for clarity. Please ensure that the integration of `HDF5Dataset` is tested thoroughly to confirm that the system handles these datasets correctly across different scenarios.dpgen2/exploration/scheduler/convergence_check_stage_scheduler.py (2)
`8-8`: **Approved import changes.** The addition of `Union` and `HDF5Dataset` is necessary for the new functionality to handle both paths and HDF5 datasets in the `trajs` parameter. Also applies to: 14-16 --- `74-74`: **Approved method changes with a suggestion to verify integration.** The update to the `trajs` parameter type in `plan_next_iteration` enhances the method's flexibility to handle different data sources. The documentation is updated accordingly, which is good for clarity. Please ensure that the integration of `HDF5Dataset` is tested thoroughly to confirm that the system handles these datasets correctly across different scenarios.dpgen2/exploration/scheduler/scheduler.py (2)
`8-8`: **Approved import changes.** The addition of `Union` and `HDF5Dataset` is necessary for the new functionality to handle both paths and HDF5 datasets in the `trajs` parameter. Also applies to: 15-17 --- `117-117`: **Approved method changes with a suggestion to verify integration.** The update to the `trajs` parameter type in `plan_next_iteration` enhances the method's flexibility to handle different data sources. The documentation is updated accordingly, which is good for clarity. Please ensure that the integration of `HDF5Dataset` is tested thoroughly to confirm that the system handles these datasets correctly across different scenarios. Also applies to: 126-126dpgen2/flow/dpgen_loop.py (1)
`96-96`: **Type annotation change approved, verify handling of new type.** The change in type annotation for the `trajs` key in the `get_input_sign` method is approved as it enhances flexibility. However, it's crucial to verify that the rest of the codebase correctly handles the new `HDF5Datasets` type to ensure compatibility. Run the following script to verify the handling of the new type:Verification successful
--- **Handling of `HDF5Datasets` type is consistent across the codebase.** The codebase shows consistent handling of the `trajs` variable with the new type annotation `Union[List[Path], HDF5Datasets]`. The changes are integrated correctly, and the code is prepared to handle both types effectively. - Instances in `dpgen2/exploration/selector/conf_selector_frame.py` and other files confirm the correct handling of the new type.Scripts executed
The following scripts were executed for the analysis: Script: ```shell #!/bin/bash # Description: Verify handling of the new HDF5Datasets type in the codebase. # Test: Search for usage of `trajs` and check if it handles both types correctly. Expect: Proper handling of both List[Path] and HDF5Datasets. rg --type python -A 5 $'trajs' ``` Length of output: 60 --- Script: ```shell #!/bin/bash # Description: Verify handling of the new HDF5Datasets type in the codebase. # Test: Search for usage of `trajs` and check if it handles both types correctly. Expect: Proper handling of both List[Path] and HDF5Datasets. rg --type py -A 5 $'trajs' ``` Length of output: 47826
Attention: Patch coverage is 78.37838%
with 8 lines
in your changes missing coverage. Please review.
Project coverage is 83.65%. Comparing base (
ce4ab3e
) to head (0499be9
). Report is 1 commits behind head on master.
Files with missing lines | Patch % | Lines |
---|---|---|
dpgen2/op/run_relax.py | 71.42% | 6 Missing :warning: |
dpgen2/exploration/render/traj_render_lammps.py | 77.77% | 2 Missing :warning: |
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Could you please also support
run_lmp
, which seems to be straightforward.
Sure.
Could you please also support
run_lmp
, which seems to be straightforward.
I realize that for run_lmp
, a task only outputs a single trajectory and a single model_devi file. As outputs of each task must be stored in a seperated file. Merging outputs of each task into a HDF5 file will bring little benefit.
On the other hand, in the HDF5 mode, users cannot conveniently preview file content in UI. That's why HDF5 mode is not employed by default unless performance bottleneck is met.
Summary by CodeRabbit
New Features
Bug Fixes
Documentation