CDAT Migration Phase 2: Refactor arm_diags set #842

chengzhuzhang · 2024-08-26T22:24:12Z

Description

Closes CDAT Migration Phase 2: Refactor arm_diags set #667 to replace CDAT Migration Phase 2: Refactor arm_diags set #834

Additional Changes

arm_diags_driver.py and arm_diags_viewer.py

Remove aerosol annual cycle driver so it is not used by any aset

derivations.py and formulas.py

Add variable derivations to derivations dictionary
Add formulas for deriving variables

arm_diags_plot.py

Add fix for sgpc1 plot not being generated correctly (Closes [Bug]: UnboundLocalError: local variable 'cwv_max' referenced before assignment for arm_diags plot with region sgpc1 #858)
- TODO: Update integration tests results on LCRC with this plot to make integration tests pass

arm_diags_parameter.py

Add time_interval attribute to store hours for diurnal cycle

dataset_xr.py

Add feature that replicates the "co" flag from cdms2, which excludes the last time coordinate when subsetting if that time coordinate spans the next year (Dataset._exclude_sub_monthly_coord_spanning_year())

diurnal_cycle_xr.py

Update diurnal_cycle_xr.py to convert coordinate DataArrays to lists and convert for loop to list comprehension for performance gains

Checklist

My code follows the style guidelines of this project
I have performed a self-review of my own code
My changes generate no new warnings
Any dependent changes have been merged and published in downstream modules

If applicable:

New and existing unit tests pass with my changes (locally and CI/CD build)
I have added tests that prove my fix is effective or that my feature works
I have commented my code, particularly in hard-to-understand areas
I have made corresponding changes to the documentation
I have noted that this is a breaking change for a major release (fix or feature that would cause existing functionality to not work as expected)

e3sm_diags/derivations/formulas.py

chengzhuzhang · 2024-09-09T17:25:14Z

Updates:
All sub sets code refactoring including (annual_cycle, diurnal_cycle(_zt), convection_onset, aerosol_activation) are completed.

Todo:
Fix mypy issues
Potential performance bottleneck from deriving variables using xarray dataset as input

tomvothecoder · 2024-09-09T21:51:25Z

Potential performance bottleneck from deriving variables using xarray dataset as input

Thank you for identifying the two formulas code as potential bottlenecks. I confirmed that these computations with Xarray are indeed much slower than CDAT.

Solution

I ran a performance benchmark and found the solution to the slowness: we need to call .load(scheduler="sync") in _get_dataset_with_source_vars() to speed up the computation. I pushed commit ef44fc6 (#842) with this fix.

Benchmark Results

The first runtime is the current code and the second runtime is with .load(). I also ran e3sm_diags with commit ef44fc6 (#842) and confirmed a significant runtime improvement, similar to the benchmarks below. Performance is now on-par with CDAT.

"""
Results
----------
1. Elapsed time (Xarray non-chunked): 6.540755605790764 seconds
2. Elapsed time (Xarray non-chunked with .load()): 0.17097265785560012 seconds
3. Elapsed time (Xarray chunked): 0.1452920027077198 seconds
4. Elapsed time (numpy .values): 6.418793010059744 seconds
5. Elapsed time (numpy .data): 7.334999438840896 seconds
"""

Elapsed time (CDAT main branch, single runtime): 0.12261438369750977 seconds

Benchmark code: https://github.com/E3SM-Project/e3sm_diags/pull/842/files#diff-5d1606dd605753c34397d3700cba5774b4db874ccd950e480e759e9824c561ac

e3sm_diags/driver/utils/climo_xr.py

e3sm_diags/driver/utils/diurnal_cycle_xr.py

chengzhuzhang · 2024-09-10T22:29:45Z

The first runtime is the current code and the second runtime is with .load(). I also ran e3sm_diags with commit ef44fc6 (#842)

@tomvothecoder thank you for performing the timing test. Interesting that when I test your commit. Running through a configuration with each subset, it took 24 mins. Without, .load(), the total time is about 3 mins, which I consider at least on par with cdat code. In this case, maybe we should drop the .load() change?

tomvothecoder · 2024-09-11T16:49:13Z

The first runtime is the current code and the second runtime is with .load(). I also ran e3sm_diags with commit ef44fc6 (#842)

@tomvothecoder thank you for performing the timing test. Interesting that when I test your commit. Running through a configuration with each subset, it took 24 mins. Without, .load(), the total time is about 3 mins, which I consider at least on par with cdat code. In this case, maybe we should drop the .load() change?

I would think that loading the derived variables dataset into memory shouldn't slow down performance unless the datasets were extremely large (which we should use Dask chunking for).

I only benchmarked performance for the formula computations. I will benchmark a complete run to verify your findings and determine if we should revert the commit or not.

Side-note:

It could be that the logic I implemented already stores the dataset in-memory, since it merges multiple xr.Dataset objects opened via open_dataset() (uses numpy arrays) instead of using open_mfdataset() (uses Dask arrays). If this the case, I don't see how .load() would improve the speed of the formula computations though.

e3sm_diags/e3sm_diags/driver/utils/dataset_xr.py

Lines 1056 to 1064 in ef44fc6

    
           for var in vars_to_get: 
        
               ds = self._get_time_series_dataset_obj(var) 
        
               datasets.append(ds) 
        
           ds = xr.merge(datasets) 
        
           ds = squeeze_time_dim(ds) 
        
           ds.load(scheduler="sync") 
        
           return ds

tomvothecoder · 2024-09-13T17:59:43Z

RE: #842 (comment)
I found adding .load() in _get_dataset_with_source_vars() adds 2-4 minutes of runtime to a complete arm_diags run.

I reverted this change and will now address the pre-commit issues.

# Commit: 58361c49-4b1b-11ec-9b3b-9c5c8e2f5e4e (no .load())
# run_set function took 281.78 seconds to complete.
# run_set function took 332.79 seconds to complete.
# Commit: ef44fc6ffd538a5e257b097b99f7a1a79b79bc3b (with .load())
# run_set function took 472.81 seconds to complete.

e3sm_diags/plot/arm_diags_plot.py

tomvothecoder · 2024-09-13T21:49:09Z

Hey @chengzhuzhang, I fixed the pre-commit issues in 2c248fb (#842). I also performed initial code cleanup since I would probably be doing that later anyways. Refer to the commit message and my review comments for more information.

I re-ran all sets and they completed successfully with these changes, although I noticed some of the diagnostic sets weren't done yet.

tomvothecoder

Initial review comment and some questions of FIXME comments.

e3sm_diags/driver/arm_diags_driver.py

chengzhuzhang · 2024-09-13T22:08:15Z

Thank you @tomvothecoder I will do another pass to see if there are other sets need to be refactored. Thanks a lot for fixing and clean this branch.

chengzhuzhang · 2024-09-18T20:33:39Z

@tomvothecoder I applied png regression tests. And all figures are produced and results are as expected as noted in the notebook.
Also performance-wise, the refactored codes are similar to the original codes. wall time is ~ 10mins with 4 workers for the full arm_diags set.

tomvothecoder · 2024-09-27T18:50:11Z

Hey @chengzhuzhang, I noticed you have several other PRs you're working on right now. I'm happy to help finish up refactoring the last diag function in this PR. Let me know.

chengzhuzhang · 2024-09-27T19:04:11Z

Hey @chengzhuzhang, I noticed you have several other PRs you're working on right now. I'm happy to help finish up refactoring the last diag function in this PR. Let me know.

@tomvothecoder it would be great if you could help me on finish this last diag, so that I'm not holding back the progress to merge!

tomvothecoder · 2024-09-27T19:42:07Z

Hey @chengzhuzhang, I noticed you have several other PRs you're working on right now. I'm happy to help finish up refactoring the last diag function in this PR. Let me know.

@tomvothecoder it would be great if you could help me on finish this last diag, so that I'm not holding back the progress to merge!

I found that no sets actually run "annual_cycle_aerosol" (arm_diags_model_vs_obs.cfg, arm_diags_model_vs_model.cfg). Unless we expect to run this diagnostic in the future, I think we can delete _run_diag_annual_cycle_aerosol instead of refactoring it.

chengzhuzhang · 2024-09-27T20:17:10Z

@tomvothecoder good for catching this. I think for now we can just create an issue to log this problem, and we can add back the code at a later time.

tomvothecoder · 2024-09-27T21:14:07Z

e3sm_diags/driver/utils/climo_xr.py

@@ -152,6 +152,7 @@ def climo(dataset: xr.Dataset, var_key: str, freq: ClimoFreq):
        # averaging.
        dims = [dim for dim in dv.dims if dim != time_coords.name]
        coords = {k: v for k, v in dv.coords.items() if k in dims}
+        climo = climo.squeeze(axis=0)


Fixes bug when ncycle == 1 where the climo variable time axis is not being squeezed which causes the rebuilt dv_climo DataArray to fail with

FAILED tests/e3sm_diags/driver/utils/test_climo_xr.py::TestClimo::test_returns_annual_cycle_climatology - ValueError: different number of dimensions on data and dims: 3 vs 2 FAILED tests/e3sm_diags/driver/utils/test_climo_xr.py::TestClimo::test_returns_DJF_season_climatology - ValueError: different number of dimensions on data and dims: 3 vs 2 FAILED tests/e3sm_diags/driver/utils/test_climo_xr.py::TestClimo::test_returns_MAM_season_climatology - ValueError: different number of dimensions on data and dims: 3 vs 2 FAILED tests/e3sm_diags/driver/utils/test_climo_xr.py::TestClimo::test_returns_JJA_season_climatology - ValueError: different number of dimensions on data and dims: 3 vs 2 FAILED tests/e3sm_diags/driver/utils/test_climo_xr.py::TestClimo::test_returns_SON_season_climatology - ValueError: different number of dimensions on data and dims: 3 vs 2 FAILED tests/e3sm_diags/driver/utils/test_climo_xr.py::TestClimo::test_returns_jan_climatology - ValueError: different number of dimensions on data and dims: 3 vs 2 FAILED tests/e3sm_diags/driver/utils/test_climo_xr.py::TestClimo::test_returns_climatology_for_derived_variable - ValueError: different number of dimensions on data and dims: 3 vs 2 FAILED tests/e3sm_diags/driver/utils/test_dataset_xr.py::TestGetClimoDataset::test_returns_climo_dataset_using_climo_of_time_series_files - ValueError: different number of dimensions on data and dims: 3 vs 2

tomvothecoder · 2024-09-27T21:17:01Z

Fix integration test failing
Address remaining FIXME and TODO: items in arm_diags_driver.py

Regression test results

.png regression test shows all plots are identical except the following, which have missing data (white spaces) compared to main:

~~Investigate the following plots because they have white spaces on dev branch for some reason -- CLOUD test variable~~ -- not a concern, dev branch is doing the right thing by masking closer to the surface at 1000 mb pressure level

Comparing:
    * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-CLOUD-ANNUALCYCLE-nsac1-test.png
    * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-final/arm_diags/armdiags-CLOUD-ANNUALCYCLE-nsac1-test.png
     * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-final/arm_diags_diff/armdiags-CLOUD-ANNUALCYCLE-nsac1-test.png
Comparing:
    * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-CLOUD-ANNUALCYCLE-sgpc1-test.png
    * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-final/arm_diags/armdiags-CLOUD-ANNUALCYCLE-sgpc1-test.png
     * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-final/arm_diags_diff/armdiags-CLOUD-ANNUALCYCLE-sgpc1-test.png
Comparing:
    * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-CLOUD-ANNUALCYCLE-twpc1-test.png
    * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-final/arm_diags/armdiags-CLOUD-ANNUALCYCLE-twpc1-test.png
     * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-final/arm_diags_diff/armdiags-CLOUD-ANNUALCYCLE-twpc1-test.png
Comparing:
    * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-CLOUD-ANNUALCYCLE-twpc2-test.png
    * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-final/arm_diags/armdiags-CLOUD-ANNUALCYCLE-twpc2-test.png
     * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-final/arm_diags_diff/armdiags-CLOUD-ANNUALCYCLE-twpc2-test.png
Comparing:
    * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-CLOUD-ANNUALCYCLE-twpc3-test.png
    * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-final/arm_diags/armdiags-CLOUD-ANNUALCYCLE-twpc3-test.png
     * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-final/arm_diags_diff/armdiags-CLOUD-ANNUALCYCLE-twpc3-test.png

tomvothecoder

Remaining TODO and FIXME comments in arm_diags_driver.py

e3sm_diags/driver/arm_diags_driver.py

- Rename functions to denote private and reorder based on call in `arm_diags_driver.py` - Add typestrings and annotations - Separate logically related blocks of code with comments - Add `_save_plots()` function to replace repeated I/O across functions

- This behavior mimics the co flag found in the CDAT codebase

…" flag

tomvothecoder · 2024-10-01T17:50:43Z

e3sm_diags/driver/utils/dataset_xr.py

+    def _exclude_sub_monthly_coord_spanning_year(
+        self, ds_subset: xr.Dataset
+    ) -> xr.Dataset:
+        """
+        Exclude the last time coordinate for sub-monthly data if it extends into
+        the next year.
+
+        Excluding end time coordinates that extend to the next year is
+        necessary because downstream operations such as annual cycle climatology
+        should consist of data for full years for accurate calculations.
+
+        For example, if the time slice is ("0001-01-01", "0002-01-01") and
+        the last time coordinate is:
+            * "0002-01-01" -> exclude
+            * "0001-12-31" -> don't exclude
+
+        Parameters
+        ----------
+        ds_subset : xr.Dataset
+            The subsetted dataset.
+
+        Returns
+        -------
+        xr.Dataset
+            The dataset with the last time coordinate excluded if necessary.
+
+        Notes
+        -----
+        This function replicates the CDAT cdms2 "co" slice flag (close, open).
+        """
+        time_dim = xc.get_dim_keys(ds_subset, axis="T")
+        time_values = ds_subset[time_dim]
+        last_time_year = time_values[-1].dt.year.item()
+        second_last_time_year = time_values[-2].dt.year.item()
+
+        if self.is_sub_monthly and last_time_year > second_last_time_year:
+            ds_subset = ds_subset.isel(time=slice(0, -1))
+
+        return ds_subset
+


Replicates the "co" slice flag for sub-monthly data

e3sm_diags/driver/utils/climo_xr.py

tomvothecoder · 2024-10-01T19:21:30Z

This PR should be good to go. The integration test image checker fails because there is now one additional plot for the sgpc1 region that was generated with a fix in this PR (related line)

I will merge this PR even though the integration tests fail. I will update the complete test results on LCRC using the cdat-migration-fy24 branch. The complete test results should also include the QBO wavelet plot from #850.

Refer to the PR for more information because the changelog is massive. Update build workflow to run on `cdat-migration-fy24` branch CDAT Migration Phase 2: Add CDAT regression test notebook template and fix GH Actions build (#743) - Add Makefile for quick access to multiple Python-based commands such as linting, testing, cleaning up cache and build files - Fix some lingering unit tests failure - Update `xcdat=0.6.0rc1` to `xcdat >=0.6.0` in `ci.yml`, `dev.yml` and `dev-nompi.yml` - Add `xskillscore` to `ci.yml` - Fix `pre-commit` issues CDAT Migration Phase 2: Regression testing for `lat_lon`, `lat_lon_land`, and `lat_lon_river` (#744) - Add Makefile that simplifies common development commands (building and installing, testing, etc.) - Write unit tests to cover all new code for utility functions - `dataset_xr.py`, `metrics.py`, `climo_xr.py`, `io.py`, `regrid.py` - Metrics comparison for `cdat-migration-fy24` `lat_lon` and `main` branch of `lat_lon` -- `NET_FLUX_SRF` and `RESTOM` have the highest spatial average diffs - Test run with 3D variables (`_run_3d_diags()`) - Fix Python 3.9 bug with using pipe command to represent Union -- doesn't work with `from __future__ import annotations` still - Fix subsetting syntax bug using ilev - Fix regridding bug where a single plev is passed and xCDAT does not allow generating bounds for coordinates of len <= 1 -- add conditional that just ignores adding new bounds for regridded output datasets, fix related tests - Fix accidentally calling save plots and metrics twice in `_get_metrics_by_region()` - Fix failing integration tests pass in CI/CD - Refactor `test_diags.py` -- replace unittest with pytest - Refactor `test_all_sets.py` -- replace unittest with pytest - Test climatology datasets -- tested with 3d variables using `test_all_sets.py` CDAT Migration Phase 2: Refactor utilities and CoreParameter methods for reusability across diagnostic sets (#746) - Move driver type annotations to `type_annotations.py` - Move `lat_lon_driver._save_data_metrics_and_plots()` to `io.py` - Update `_save_data_metrics_and_plots` args to accept `plot_func` callable - Update `metrics.spatial_avg` to return an optionally `xr.DataArray` with `as_list=False` - Move `parameter` arg to the top in `lat_lon_plot.plot` - Move `_set_param_output_attrs` and `_set_name_yr_attrs` from `lat_lon_driver` to `CoreParameter` class Regression testing for lat_lon variables `NET_FLUX_SRF` and `RESTOM` (#754) Update regression test notebook to show validation of all vars Add `subset_and_align_datasets()` to regrid.py (#776) Add template run scripts CDAT Migration Phase: Refactor `cosp_histogram` set (#748) - Refactor `cosp_histogram_driver.py` and `cosp_histogram_plot.py` - `formulas_cosp.py` (new file) - Includes refactored, Xarray-based `cosp_histogram_standard()` and `cosp_bin_sum()` functions - I wrote a lot of new code in `formulas_cosp.py` to clean up `derivations.py` and the old equivalent functions in `utils.py` - `derivations.py` - Cleaned up portions of `DERIVED_VARIABLES` dictionary - Removed unnecessary `OrderedDict` usage for `cosp_histogram` related variables (we should do this for the rest of the variables in in #716) - Remove unnecessary `convert_units()` function calls - Move cloud levels passed to derived variable formulas to `formulas_cosp.CLOUD_BIN_SUM_MAP` - `utils.py` - Delete deprecated, CDAT-based `cosp_histogram` functions - `dataset_xr.py` - Add `dataset_xr.Dataset._open_climo_dataset()` method with a catch for dataset quality issues where "time" is a scalar variable that does not match the "time" dimension array length, drops this variable and replaces it with the correct coordinate - Update `_get_dataset_with_derivation_func()` to handle derivation functions that require the `xr.Dataset` and `target_var_key` args (e.g., `cosp_histogram_standardize()` and `cosp_bin_sum()`) - `io.py` - Update `_write_vars_to_netcdf()` to write test, ref, and diff variables to individual netCDF (required for easy comparison to CDAT-based code that does the same thing) - Add `cdat_migration_regression_test_netcdf.ipynb` validation notebook template for comparing `.nc` files CDAT Migration Phase 2: Refactor `zonal_mean_2d()` and `zonal_mean_2d_stratosphere()` sets (#774) Refactor 654 zonal mean xy (#752) Co-authored-by: Tom Vo <[email protected]> CDAT Migration - Update run script output directory to NERSC public webserver (#793) [PR]: CDAT Migration: Refactor `aerosol_aeronet` set (#788) CDAT Migration: Test `lat_lon` set with run script and debug any issues (#794) CDAT Migration: Refactor `polar` set (#749) Co-authored-by: Tom Vo <[email protected]> Align order of calls to `_set_param_output_attrs` CDAT Migration: Refactor `meridional_mean_2d` set (#795) CDAT Migration: Refactor `aerosol_budget` (#800) Add `acme.py` changes from PR #712 (#814) * Add `acme.py` changes from PR #712 * Replace unnecessary lambda call Refactor area_mean_time_series and add ccb slice flag feature (#750) Co-authored-by: Tom Vo <[email protected]> [Refactor]: Validate fix in PR #750 for #759 (#815) CDAT Migration Phase 2: Refactor `diurnal_cycle` set (#819) CDAT Migration: Refactor annual_cycle_zonal_mean set (#798) * Refactor `annual_cycle_zonal_mean` set * Address PR review comments * Add lat lon regression testing * Add debugging scripts * Update `_open_climo_dataset()` to decode times as workaround to misaligned time coords - Update `annual_cycle_zonal_mean_plot.py` to convert time coordinates to month integers * Fix unit tests * Remove old plotter * Add script to debug decode_times=True and ncclimo file * Update plotter time values to month integers * Fix slow `.load()` and multiprocessing issue - Due to incorrectly updating `keep_bnds` logic - Add `_encode_time_coords()` to workaround cftime issue `ValueError: "months since" units only allowed for "360_day" calendar` * Update `_encode_time_coords()` docstring * Add AODVIS debug script * update AODVIS obs datasets; regression test results --------- Co-authored-by: Tom Vo <[email protected]> CDAT Migration Phase 2: Refactor `qbo` set (#826) CDAT Migration Phase 2: Refactor tc_analysis set (#829) * start tc_analysis_refactor * update driver * update plotting * Clean up plotter - Remove unused variables - Make `plot_info` a constant called `PLOT_INFO`, which is now a dict of dicts - Reorder functions for top-down readability * Remove unused notebook --------- Co-authored-by: tomvothecoder <[email protected]> CDAT Migration Phase 2: Refactor `enso_diags` set (#832) CDAT Migration Phase 2: Refactor `streamflow` set (#837) [Bug]: CDAT Migration Phase 2: enso_diags plot fixes (#841) [Refactor]: CDAT Migration Phase 3: testing and documentation update (#846) CDAT Migration Phase 3 - Port QBO Wavelet feature to Xarray/xCDAT codebase (#860) CDAT Migration Phase 2: Refactor arm_diags set (#842) Add performance benchmark material (#864) Add function to add CF axis attr to Z axis if missing for downstream xCDAT operations (#865) CDAT Migration Phase 3: Add Convective Precipitation Fraction in lat-lon (#875) CDAT Migration Phase 3: Fix LHFLX name and add catch for non-existent or empty TE stitch file (#876) Add support for time series datasets via glob and fix `enso_diags` set (#866) Add fix for checking `is_time_series()` property based on `data_type` attr (#881) CDAT migration: Fix African easterly wave density plots in TC analysis and convert H20LNZ units to ppm/volume (#882) CDAT Migration: Update `mp_partition_driver.py` to use Dataset from `dataset_xr.py` (#883) CDAT Migration - Port JJB tropical subseasonal diags to Xarray/xCDAT (#887) CDAT Migration: Prepare branch for merge to `main` (#885) [Refactor]: CDAT Migration - Update dependencies and remove Dataset._add_cf_attrs_to_z_axes() (#891) CDAT Migration Phase 2: Refactor core utilities and `lat_lon` set (#677) Refer to the PR for more information because the changelog is massive. Update build workflow to run on `cdat-migration-fy24` branch CDAT Migration Phase 2: Add CDAT regression test notebook template and fix GH Actions build (#743) - Add Makefile for quick access to multiple Python-based commands such as linting, testing, cleaning up cache and build files - Fix some lingering unit tests failure - Update `xcdat=0.6.0rc1` to `xcdat >=0.6.0` in `ci.yml`, `dev.yml` and `dev-nompi.yml` - Add `xskillscore` to `ci.yml` - Fix `pre-commit` issues CDAT Migration Phase 2: Regression testing for `lat_lon`, `lat_lon_land`, and `lat_lon_river` (#744) - Add Makefile that simplifies common development commands (building and installing, testing, etc.) - Write unit tests to cover all new code for utility functions - `dataset_xr.py`, `metrics.py`, `climo_xr.py`, `io.py`, `regrid.py` - Metrics comparison for `cdat-migration-fy24` `lat_lon` and `main` branch of `lat_lon` -- `NET_FLUX_SRF` and `RESTOM` have the highest spatial average diffs - Test run with 3D variables (`_run_3d_diags()`) - Fix Python 3.9 bug with using pipe command to represent Union -- doesn't work with `from __future__ import annotations` still - Fix subsetting syntax bug using ilev - Fix regridding bug where a single plev is passed and xCDAT does not allow generating bounds for coordinates of len <= 1 -- add conditional that just ignores adding new bounds for regridded output datasets, fix related tests - Fix accidentally calling save plots and metrics twice in `_get_metrics_by_region()` - Fix failing integration tests pass in CI/CD - Refactor `test_diags.py` -- replace unittest with pytest - Refactor `test_all_sets.py` -- replace unittest with pytest - Test climatology datasets -- tested with 3d variables using `test_all_sets.py` CDAT Migration Phase 2: Refactor utilities and CoreParameter methods for reusability across diagnostic sets (#746) - Move driver type annotations to `type_annotations.py` - Move `lat_lon_driver._save_data_metrics_and_plots()` to `io.py` - Update `_save_data_metrics_and_plots` args to accept `plot_func` callable - Update `metrics.spatial_avg` to return an optionally `xr.DataArray` with `as_list=False` - Move `parameter` arg to the top in `lat_lon_plot.plot` - Move `_set_param_output_attrs` and `_set_name_yr_attrs` from `lat_lon_driver` to `CoreParameter` class CDAT Migration Phase 2: Refactor `zonal_mean_2d()` and `zonal_mean_2d_stratosphere()` sets (#774) CDAT Migration Phase 2: Refactor `qbo` set (#826)

chengzhuzhang commented Sep 9, 2024

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chengzhuzhang commented Sep 9, 2024

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chengzhuzhang requested a review from tomvothecoder September 9, 2024 17:24

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tomvothecoder added the cdat-migration-fy24 CDAT Migration FY24 Task label Sep 13, 2024

tomvothecoder added this to the FY24 Q4 (07/01/24 - 9/30/24) milestone Sep 13, 2024

chengzhuzhang mentioned this pull request Sep 18, 2024

CDAT Migration Phase 2: Refactor arm_diags set #834

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tomvothecoder changed the title ~~CDAT Migration Phase 2: Refactor arm_diags set (try 2)~~ CDAT Migration Phase 2: Refactor arm_diags set Sep 30, 2024

tomvothecoder added 14 commits October 1, 2024 10:49

Update regression testing png notebook

54999a7

Fix ncycle=1 misaligned dims in climo_xr.py

420821f

Address ref FIXME comment

640b42a

Fix _get_time_slice() end_time format when years <1000

0d0671c

Refactor arm_diags_plot.py

311a630

- Rename functions to denote private and reorder based on call in `arm_diags_driver.py` - Add typestrings and annotations - Separate logically related blocks of code with comments - Add `_save_plots()` function to replace repeated I/O across functions

Update regression testing notebook

fb8a320

Add logic to exclude last time coordinate for sub-monthly data

da6d110

- This behavior mimics the co flag found in the CDAT codebase

Fix unit tests for submonthly time series data

67de95c

Update .get statement for long_name attr when it does not exist

5821a85

Add .get for long_name and other attrs

c13ad23

Apply suggestions from code review

49ee2a5

Fix RegionStats type annotation

8c936be

Add _exclude_sub_monthly_coord_spanning_year to replicate cdms2 "co…

dd4e7fe

…" flag

Update e3sm_diags/driver/utils/dataset_xr.py

7b53932

tomvothecoder force-pushed the refactor/667-arm_diags_rebase branch from 18357c5 to 7b53932 Compare October 1, 2024 17:49

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Update e3sm_diags/driver/utils/climo_xr.py

858966b

tomvothecoder merged commit 22cd0f5 into cdat-migration-fy24 Oct 1, 2024
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tomvothecoder deleted the refactor/667-arm_diags_rebase branch October 1, 2024 19:27

tomvothecoder mentioned this pull request Oct 1, 2024

CDAT Migration Phase 2: Refactor arm_diags set #667

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tomvothecoder mentioned this pull request Oct 25, 2024

[Refactor]: CDAT Migration Phase 3 - Port changes from main to cdat-migration-fy24 #871

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tomvothecoder pushed a commit that referenced this pull request Oct 25, 2024

CDAT Migration Phase 2: Refactor arm_diags set (#842)

b357f77

tomvothecoder pushed a commit that referenced this pull request Oct 29, 2024

CDAT Migration Phase 2: Refactor arm_diags set (#842)

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tomvothecoder pushed a commit that referenced this pull request Oct 29, 2024

CDAT Migration Phase 2: Refactor arm_diags set (#842)

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tomvothecoder pushed a commit that referenced this pull request Dec 4, 2024

CDAT Migration Phase 2: Refactor arm_diags set (#842)

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chengzhuzhang mentioned this pull request Jan 9, 2025

Address diffs v2.12.1 to v3 #907

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CDAT Migration Phase 2: Refactor arm_diags set #842

CDAT Migration Phase 2: Refactor arm_diags set #842

chengzhuzhang commented Aug 26, 2024 •

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CDAT Migration Phase 2: Refactor arm_diags set #842

CDAT Migration Phase 2: Refactor arm_diags set #842

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chengzhuzhang commented Aug 26, 2024 • edited by tomvothecoder Loading

Description

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Solution

Benchmark Results

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Regression test results

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