[pre-commit.ci] auto fixes from pre-commit.com hooks

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carbonplan · Jul 4, 2023 · 07505d7 · 07505d7
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Showing 29 changed files with 3 additions and 47 deletions.
diff --git a/cmip6_downscaling/analysis/analysis.py b/cmip6_downscaling/analysis/analysis.py
@@ -82,7 +82,7 @@ def load_big_cities(
     if plot:
         ax = plt.axes(projection=ccrs.PlateCarree())
         ax.stock_img()
-        for (lat, lon) in big_cities[['lat', 'lng']].values:
+        for lat, lon in big_cities[['lat', 'lng']].values:
             plt.plot(
                 lon,
                 lat,

diff --git a/cmip6_downscaling/data/cmip.py b/cmip6_downscaling/data/cmip.py
@@ -57,7 +57,6 @@ def postprocess(ds: xr.Dataset, to_standard_calendar: bool = True) -> xr.Dataset
             ds = ds.reindex({"lat": ds.lat[::-1]})
 
         if to_standard_calendar:
-
             # checks calendar
             ds = convert_to_standard_calendar(ds)
 
@@ -110,7 +109,6 @@ def load_cmip(
         Dataset or zarr group with CMIP data
     """
     with dask.config.set(**{'array.slicing.split_large_chunks': False}):
-
         col = intake.open_esm_datastore(config.get("data_catalog.cmip.json"))
 
         col_subset = col.search(

diff --git a/cmip6_downscaling/disagg/terraclimate.py b/cmip6_downscaling/disagg/terraclimate.py
@@ -437,7 +437,6 @@ def model(
         soil_prev = awc
 
     for i, row in df.iterrows():
-
         radiation = row['srad'] * MGM2D_PER_WM2
 
         # run snow routine

diff --git a/cmip6_downscaling/disagg/wrapper.py b/cmip6_downscaling/disagg/wrapper.py
@@ -91,7 +91,6 @@ def run_terraclimate_model(ds_in: xr.Dataset) -> xr.Dataset:
     )
 
     with dask.config.set(scheduler='single-threaded'):
-
         for index, mask_val in np.ndenumerate(ds_in['mask'].values):
             if not mask_val:
                 # skip values outside the mask

diff --git a/cmip6_downscaling/methods/common/containers.py b/cmip6_downscaling/methods/common/containers.py
@@ -43,7 +43,6 @@ def __str__(self) -> str:
 
 @dataclass
 class CMIP6Experiment:
-
     model: str
     scenario: str
     member: str

diff --git a/cmip6_downscaling/methods/common/utils.py b/cmip6_downscaling/methods/common/utils.py
@@ -288,7 +288,6 @@ def resample_wrapper(ds, freq='1MS'):
 
 
 def set_zarr_encoding(ds: xr.Dataset):
-
     for da in ds.data_vars.values():
         da.encoding = {'compressor': zarr.Blosc(clevel=1)}
 

diff --git a/cmip6_downscaling/methods/gard/tasks.py b/cmip6_downscaling/methods/gard/tasks.py
@@ -70,7 +70,6 @@ def coarsen_and_interpolate(fine_path: UPath, coarse_path: UPath) -> UPath:
 
 
 def _fit_and_predict_wrapper(xtrain, ytrain, xpred, scrf, run_parameters, dim='time'):
-
     xpred = xpred.rename({'t2': 'time'})
     scrf = scrf.rename({'t2': 'time'})
     kws = default_none_kwargs(run_parameters.bias_correction_kwargs, copy=True)

diff --git a/cmip6_downscaling/methods/maca/core.py b/cmip6_downscaling/methods/maca/core.py
@@ -321,7 +321,6 @@ def _make_template(da):
     # train a linear regression model for each day in coarsen GCM dataset, where the features are each coarsened observation
     # analogs, and examples are each pixels within the coarsened domain
     for i in range(len(y)):
-
         # get data from the GCM day being downscaled
         yi = y.isel(ndays_in_gcm=i)
         # get data from the coarsened obs analogs

diff --git a/cmip6_downscaling/runtimes.py b/cmip6_downscaling/runtimes.py
@@ -87,7 +87,6 @@ def run_config(self) -> RunConfig:
 
     @cached_property
     def executor(self) -> Executor:
-
         executor = DaskExecutor(
             cluster_kwargs={
                 'resources': {'taskslots': 1},

diff --git a/cmip6_downscaling/utils.py b/cmip6_downscaling/utils.py
@@ -13,7 +13,6 @@ def str_to_hash(s: str) -> str:
 
 
 def write(ds: xr.Dataset | datatree.DataTree, target, use_cache: bool = True) -> str:
-
     from .methods.common.utils import zmetadata_exists
 
     if use_cache and zmetadata_exists(target):

diff --git a/flows/catalogs/era5.py b/flows/catalogs/era5.py
@@ -61,7 +61,6 @@ def parse_era5(path):
 
 @task(log_stdout=True)
 def build_catalog(*, name: str, bucket: str) -> None:
-
     import ecgtools
 
     print(ecgtools.__version__)

diff --git a/flows/catalogs/final_catalog.py b/flows/catalogs/final_catalog.py
@@ -22,7 +22,6 @@
 
 
 def parse_store(store: str):
-
     from ecgtools.builder import INVALID_ASSET, TRACEBACK
 
     try:
@@ -54,13 +53,11 @@ def parse_store(store: str):
         }
 
     except Exception:
-
         return {INVALID_ASSET: path, TRACEBACK: traceback.format_exc()}
 
 
 @task(log_stdout=True)
 def generate_intake_esm_catalog(*, intake_esm_catalog_bucket: str):
-
     import ecgtools
 
     builder = ecgtools.Builder(
@@ -102,7 +99,6 @@ def generate_intake_esm_catalog(*, intake_esm_catalog_bucket: str):
 def generate_minified_web_catalog(
     *, parent_catalog: str, web_catalog: str, cdn: str = None
 ) -> None:
-
     with fsspec.open(parent_catalog) as f:
         data = json.load(f)
 
@@ -146,7 +142,6 @@ def generate_minified_web_catalog(
     storage=runtime.storage,
     run_config=runtime.run_config,
 ) as flow:
-
     parent_catalog = Parameter(
         'parent-catalog',
         default="az://scratch/results/pyramids/combined-cmip6-era5-pyramids-catalog-web.json",

diff --git a/flows/catalogs/web_catalog.py b/flows/catalogs/web_catalog.py
@@ -125,13 +125,11 @@ def get_license(source_id: str, derived_product: bool = False) -> dict:
 
 
 def parse_cmip6(store: str, root_path: str) -> dict[str, str]:
-
     from ecgtools.builder import INVALID_ASSET, TRACEBACK
 
     from cmip6_downscaling.methods.common.utils import zmetadata_exists
 
     try:
-
         path = UPath(store)
         if not zmetadata_exists(path):
             raise ValueError(f'{path} not a valid zarr store')
@@ -260,7 +258,6 @@ def from_az_to_https(uri: str, root: str) -> str:
 def parse_cmip6_downscaled_pyramid(
     data, cdn: str, root_path: str, derived_product: bool = True
 ) -> list[dict]:
-
     """
     Parse metadata for given CMIP6 downscaled pyramid.
 
@@ -435,7 +432,6 @@ def parse(path: str):
 def filter_version_results(
     *, minimum_version: str, maximum_version: str, exclude_local_version: bool, results: list[str]
 ) -> list[str]:
-
     """
     Filter the results by version.
 
@@ -496,7 +492,6 @@ def get_cmip6_downscaled_pyramids(
     maximum_version: str = None,
     exclude_local_version: bool = True,
 ):
-
     """
     Get CMIP6 downscaled pyramids.
 
@@ -554,7 +549,6 @@ def create_catalog(
     cmip6_downscaled_pyramids: list[dict] = None,
     era5_pyramids: list[dict] = None,
 ):
-
     """
     Create catalog.
 
@@ -603,7 +597,6 @@ def create_catalog(
 with Flow(
     'web-catalog', executor=runtime.executor, run_config=runtime.run_config, storage=runtime.storage
 ) as flow:
-
     paths = Parameter('paths', default=['az://flow-outputs/results/cmip6-pyramids-raw'])
     web_catalog_path = Parameter(
         'web-catalog-path',

diff --git a/flows/cloud_flow_test.py b/flows/cloud_flow_test.py
@@ -36,7 +36,6 @@ def make_grid(shape):
     run_config=runtime.run_config,
     executor=runtime.executor,
 ) as flow:
-
     nums = range(4)
     my_task.map(nums)
 

diff --git a/flows/cmip6_raw_pyramids.py b/flows/cmip6_raw_pyramids.py
@@ -41,7 +41,6 @@ def get_assets(
     grid_label: list[str] | str = 'gn',
     member_id: list[str] | str = 'r1i1p1f1',
 ) -> list[tuple(str, str)]:
-
     import intake
 
     cat = intake.open_esm_datastore(cat_url).search(

diff --git a/flows/era5-resample-rechunk.py b/flows/era5-resample-rechunk.py
@@ -26,7 +26,6 @@ def get_datasets_keys(*, catalog_path: str, start: int, stop: int):
 
 @task(log_stdout=True)
 def resample_to_daily(*, catalog_path: str, key: str):
-
     import dask
     import intake
     import xarray as xr

diff --git a/flows/gcm_obs_weights.py b/flows/gcm_obs_weights.py
@@ -58,7 +58,6 @@ def generate_weights(stores: list[dict[str, str]], method: str = 'bilinear') ->
         print(ds_out)
 
         for store in stores:
-
             target_prefix = (
                 static_dir / store['source_id'] / store['table_id'] / store['grid_label'] / method
             )
@@ -128,7 +127,6 @@ def catalog(results):
     run_config=runtime.run_config,
     executor=runtime.executor,
 ) as flow:
-
     cat_url = Parameter(
         'cat_url', default='https://cmip6downscaling.blob.core.windows.net/cmip6/pangeo-cmip6.json'
     )

diff --git a/flows/methods/bcsd/flow.py b/flows/methods/bcsd/flow.py
@@ -45,7 +45,6 @@
 with Flow(
     name="bcsd", storage=runtime.storage, run_config=runtime.run_config, executor=runtime.executor
 ) as flow:
-
     run_parameters = make_run_parameters(
         method=Parameter("method"),
         obs=Parameter("obs"),

diff --git a/flows/methods/deepsd/flow.py b/flows/methods/deepsd/flow.py
@@ -26,7 +26,6 @@
 with Flow(
     name="deepsd", storage=runtime.storage, run_config=runtime.run_config, executor=runtime.executor
 ) as flow:
-
     run_parameters = make_run_parameters(
         method=Parameter("method"),
         obs=Parameter("obs"),
@@ -136,7 +135,6 @@
     )
 
     if config.get('run_options.generate_pyramids'):
-
         # since pyramids require full space we now rechunk everything into full
         # space before passing into pyramid step. we probably want to add a cleanup
         # to this step in particular since otherwise we will have an exact

diff --git a/flows/methods/gard/flow.py b/flows/methods/gard/flow.py
@@ -41,7 +41,6 @@
 with Flow(
     name="gard", storage=runtime.storage, run_config=runtime.run_config, executor=runtime.executor
 ) as flow:
-
     run_parameters = make_run_parameters(
         method=Parameter("method"),
         obs=Parameter("obs"),
@@ -126,7 +125,6 @@
     # analysis_location = run_analyses(model_output_path, run_parameters)
 
     if config.get('run_options.generate_pyramids'):
-
         # since pyramids require full space we now rechunk everything into full
         # space before passing into pyramid step. we probably want to add a cleanup
         # to this step in particular since otherwise we will have an exact

diff --git a/flows/methods/maca/flow.py b/flows/methods/maca/flow.py
@@ -147,7 +147,6 @@
         )
 
         if config.get('run_options.combine_regions'):
-
             p['combined_analogs_full_time_path'] = combine_regions(
                 regions=p['region_numbers'],
                 region_paths=p['constructed_analogs_region_paths'],
@@ -184,7 +183,6 @@
             # analysis_location = run_analyses(p['final_bias_corrected_full_time_path'], run_parameters)
 
             if config.get('run_options.generate_pyramids'):
-
                 # make temporal summaries
                 p['monthly_summary_full_space_path'] = rechunk(
                     p['monthly_summary_path'], pattern='full_space'

diff --git a/notebooks/check_model_completeness.ipynb b/notebooks/check_model_completeness.ipynb
@@ -70,7 +70,7 @@
    "source": [
     "models = []\n",
     "for scenario in [\"historical\", \"ssp245\", \"ssp370\", \"ssp585\"]:\n",
-    "    for (gcm, ensemble_member) in gcms:\n",
+    "    for gcm, ensemble_member in gcms:\n",
     "        models.append(\"{}-{}\".format(gcm, scenario))\n",
     "path = get_store(\n",
     "    \"carbonplan-downscaling\",\n",
@@ -89,7 +89,7 @@
    "outputs": [],
    "source": [
     "for scenario in [\"historical\", \"ssp245\", \"ssp370\", \"ssp585\"]:\n",
-    "    for (gcm, ensemble_member) in gcms:\n",
+    "    for gcm, ensemble_member in gcms:\n",
     "        path = get_store(\n",
     "            \"carbonplan-downscaling\",\n",
     "            zarr_template.format(gcm, scenario, ensemble_member),\n",

diff --git a/notebooks/deepsd_data_prep.ipynb b/notebooks/deepsd_data_prep.ipynb
@@ -849,7 +849,6 @@
     "# for plotting with lat/lon potentially use the following\n",
     "# batch.isel(input_batch=1).tf..plot.pcolormesh(strings)\n",
     "for _ in range(10):\n",
-    "\n",
     "    i = random.randint(0, len(batch.input_batch))\n",
     "    patch = batch.isel(input_batch=i)\n",
     "    print(patch.lat.min().values, patch.lat.max().values)\n",

diff --git a/notebooks/deepsd_model_train.ipynb b/notebooks/deepsd_model_train.ipynb
@@ -211,7 +211,6 @@
     "\n",
     "\n",
     "def read_and_decode(filename_queue, input_size, input_depth, output_depth):\n",
-    "\n",
     "    reader = tf.compat.v1.TFRecordReader()\n",
     "    _, serialized_example = reader.read(filename_queue)\n",
     "    features = tf.compat.v1.parse_single_example(serialized_example, features=feature)\n",

diff --git a/notebooks/prefect_cloud_runner.ipynb b/notebooks/prefect_cloud_runner.ipynb
@@ -73,7 +73,6 @@
     "\n",
     "\n",
     "def create_run_params_from_json(parameter_fpath: str) -> RunParameters:\n",
-    "\n",
     "    df = pd.read_json(parameter_fpath)\n",
     "    run_parameters = RunParameters(\n",
     "        method=df.method.iloc[0],\n",
@@ -96,7 +95,6 @@
     "\n",
     "\n",
     "def run_flow(flow_id: str, param_file_path: str) -> list[str]:\n",
-    "\n",
     "    json_path = pathlib.Path(param_file_path).read_text()\n",
     "    flow_hash = str_to_hash(json_path)\n",
     "    param_dict = json.loads(json_path)\n",

diff --git a/notebooks/terraclimate_model.ipynb b/notebooks/terraclimate_model.ipynb
@@ -117,7 +117,6 @@
     "# run our version of the terraclimate hydrology model for all points\n",
     "v2 = {}\n",
     "for k, df_point in data.items():\n",
-    "\n",
     "    df = df_point.copy(deep=True)\n",
     "\n",
     "    awc = df[\"awc\"][0]\n",
@@ -147,7 +146,6 @@
    "outputs": [],
    "source": [
     "def plot_points(v1, v2, var=\"pdsi\", tslice=slice(200, 300)):\n",
-    "\n",
     "    fig, axes = plt.subplots(nrows=2, ncols=len(v2), figsize=(24, 4), squeeze=False)\n",
     "\n",
     "    for i, k in enumerate(v2):\n",

diff --git a/tests/methods/common/test_tasks.py b/tests/methods/common/test_tasks.py
@@ -135,7 +135,6 @@ def test_get_experiment(run_parameters):
 
 
 def test_regrid(tmp_path):
-
     pytest.importorskip('xesmf')
 
     ds = xr.tutorial.open_dataset('air_temperature').chunk({'time': 10, 'lat': -1, 'lon': -1})

diff --git a/tests/test_runtimes.py b/tests/test_runtimes.py
@@ -11,7 +11,6 @@
 
 @pytest.mark.parametrize('runtime', [LocalRuntime, CIRuntime, PangeoRuntime])
 def test_runtimes(runtime):
-
     _runtime = runtime()
     assert isinstance(_runtime, BaseRuntime)
 

diff --git a/tests/test_utils.py b/tests/test_utils.py
@@ -46,7 +46,6 @@ def test_lon_to_180(shift):
 
 
 def test_to_standard_calendar(da_noleap):
-
     da_std = to_standard_calendar(da_noleap)
     assert da_noleap.sizes['time'] == 365
     assert da_std.sizes['time'] == 366